Generative AI Market

Generative AI Market by Offering (Software (Transformer Models (GPT-1, GPT-2, GPT-3, GPT-4, LaMDA)), Services), Application (Data Modality (Text, Image, Video), Business Function (Marketing & Sales, Finance)), Vertical and Region - Global Forecast to 2030

Report Code: TC 8610 Apr, 2023, by marketsandmarkets.com

[541 Pages Report] A notable expansion trajectory is anticipated within the generative AI market, forecasting an escalation from its 2023 valuation of USD 11.3 billion to a substantial valuation of USD 76.8 billion by the year 2030. This growth is set to transpire at a commendable compound annual growth rate (CAGR) of 31.5% over the defined forecast period. The generative AI market is poised to exhibit a substantial growth pace during this forecast duration, primarily attributed to a myriad of influential business drivers. Several pivotal factors are propelling the ascent of the generative AI market. These factors encompass the ongoing advancement of artificial intelligence (AI) and deep learning technologies, fostering an environment conducive to innovation. Furthermore, the surge in content creation endeavors and the burgeoning demand for creative applications are also contributing significantly to Large Language Model market expansion-boosting the generative AI industry. The introduction of innovative cloud storage solutions, enabling convenient data accessibility, further fuels the growth trajectory by removing barriers to data utilization.

Technology Roadmap of Generative AI till 2030

The Generative AI market report covers the technology roadmap till 2030, with insights into the short-term, mid-term and long-term developments.

  • Short-term (2023–2025):
    • Fine-tuning and optimization of LLMs for various applications, resulting in more accurate and context-aware text generation.
    • Integrating text-based generative AI with other modalities, such as images and videos, catering to diverse generative AI market needs.
  • Mid-term (2026–2028):
    • Generative AI models will become increasingly domain specialized. Tailoring AI-generated content to specific industries and niches within the Large Language Model market will become a priority.
    • Users will have fine-grained control over style, tone, and other attributes, making AI-generated content more versatile and suitable for the diverse LLM market.
    • Generative AI models will be designed to seamlessly integrate with existing software and platforms commonly used across industry verticals
  • Long-term (2029–2030):
    • The emergence of fully autonomous Generative AI systems, which will be able to generate new works in a wide range of domains, including art, music, and literature
    • An increased use of generative AI in discovery and material design, as researchers continue to explore the possibilities of these technologies
    • Development of guidelines for the ethical use of generative AI and ensuring that it is used in a way that is safe and beneficial for diverse applications across the LLM market and generative AI ecosystem.

Generative AI Market

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Generative AI Market

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Market Dynamics

Driver: Evolution of AI and deep learning

In the rapidly evolving landscape of artificial intelligence (AI), it is instigating a profound transformation across the realm of business. Vital functions within enterprises, encompassing marketing, sales, finance, and human resources, are prime domains that stand to harness the potential of emerging AI-driven applications. The surge of AI constitutes a paradigm shift of unparalleled magnitude, advancing at an unprecedented pace compared to preceding shifts. While technological strides such as cloud computing, 5G connectivity, and the Internet of Things (IoT) have undeniably ushered in transformative changes, none have demonstrated the rapid evolution witnessed in AI.

Central to this trajectory is the concept of deep learning—an AI algorithmic approach that empowers systems to discern patterns from data and progressively enhance their proficiency. Deep learning, complemented by artificial neural networks, constitutes the linchpin of the burgeoning AI landscape. These artificial neural networks are ingeniously designed to emulate the human brain and can be trained on extensive datasets to speed up constructing generalized learning models. Traditional machine learning models are being supplanted by artificial neural networks, a transformation fueled by innovative computing technologies like single-shot multi-box detectors (SSDs) and generative adversarial networks (GANs), which are orchestrating a revolution within the LLM market and the broader Generative AI market.

Restraints: Issues related to bias and inaccurately generated output

The growth trajectory of generative AI solutions encounters a significant hurdle in the form of limited access to high-quality input data. The effectiveness of AI performance is intricately tied to the caliber of data supplied to algorithms. Attempts to train AI models with subpar data lead to discrepancies in expected outcomes, some models even failing to achieve optimal results. The presence of deficient, irrelevant, or manipulated datasets poses financial risks, especially if disparities emerge between ground truth and AI predictions.

In a similar context, Google's highly anticipated AI chatbot tool, Bard, has faced pre-release scrutiny due to an erroneous response during a demonstration. This incident underscores the challenge of securing top-tier training data as enterprises race to incorporate AI technology akin to Microsoft-backed ChatGPT into their offerings.

Mitigating bias remains an ongoing concern for LLM market and the overall Generative market, as evident in some outputs generated by ChatGPT and similar tools. Ensuring fairness demands constant diligence, with bias stemming from various sources such as skewed training data or model architecture. If unaddressed, biased AI models could perpetuate inequities, yielding responses that are discriminatory, offensive, or inaccurate for specific demographic groups.

Opportunity: Rapid expansion of Large Language Models (LLMs)

The rapid expansion of the LLM market has been a pivotal growth driver within the broader Generative AI market. In recent years, LLMs have witnessed explosive growth, and this can be attributed to several factors. LLMs like OpenAI’s GPT-3 & GPT-4 (text), Meta’s LLaMA (chat and code), and Google’s LaMDA (conversational dialogue) have demonstrated remarkable capabilities in natural language understanding and generation. LLMs have been increasing an average of 10x per year in size and sophistication, ushering in new opportunities for Large Language Model market. They can generate human-like text, translate languages, answer questions, and even perform creative tasks like generating art or music. This versatility has made LLMs highly sought-after in a wide range of industries, from content generation and customer support automation to healthcare and finance, significantly driving demand in the LLM market.

The development of accessible APIs by companies like OpenAI has democratized the use of LLMs, allowing businesses of all sizes to integrate these models into their applications and services easily. This ease of integration has catalyzed the adoption of LLMs across various sectors, further fueling LLM market expansion. As LLM technology continues to evolve and become more capable, businesses are increasingly relying on it to streamline operations, enhance user experiences, and gain competitive advantages, driving sustained growth in the LLM market. For instance, Amazon launched CodeWhisperer, its LLM-based code generation tool, boosting the Large Language Model market growth across the generative AI space.

Challenge: Quality of output generated by generative AI models

The quality of output generated by generative AI models is a critical challenge within the LLM market and the broader Generative AI market. Instances abound wherein these models yield outputs of suboptimal quality, marked by inaccuracies, irrelevance, and questionable outcomes, among other deficiencies. Notably, LLMs such as ChatGPT offer a case in point, exhibiting limitations in addressing recent events and delivering answers that are at times ambiguous and repetitive, which have hampered Large Language Model market opportunities. Similarly, Google's Bard drew criticism for an advertisement that falsely claimed the James Webb Space Telescope captured the first images of a planet beyond our solar system.

Crucially, it's imperative to recognize that the caliber of outputs produced by a given generative model hinges on the excellence of the underlying datasets or training sets. Biases inherent in these sets can be manifested within a specific model's results, potentially perpetuating biases if present within the training data. This phenomenon imparts a direct impact on both the excellence and dependability of the outputs, restraining the expansion of Large Language Model market.

Generative AI market Ecosystem

Generative AI Market

By services, professional services segment to account for a larger market size during forecast period

Professional services encompass a range of offerings, including solution customization, deployment assistance, technical support, and training, which are crucial for enterprises seeking to harness the potential of generative AI while addressing their specific business requirements. These services enhance the value proposition of generative AI solutions by ensuring optimal implementation, minimizing disruptions, and empowering businesses to capitalize on the transformative capabilities of this technology. As companies increasingly recognize the strategic importance of tailored AI solutions, the demand for professional services is expected to remain robust, thereby solidifying its leadership in the generative AI market.

By application, operations business function segment to hold the largest market share during the forecast period

By leveraging generative AI, organizations can streamline processes, enhance decision-making, and automate tasks, leading to improved productivity and cost-effectiveness. The operations segment encompasses diverse areas such as supply chain management, logistics, resource allocation, and risk assessment, where generative AI's capabilities offer transformative benefits. As businesses prioritize operational excellence to stay competitive, the demand for generative AI solutions and complex LLMs tailored to specific operational challenges is expected to drive the sustained dominance of the operations segment in the LLM market and the overall generative AI market.

By region, North America holds the largest market size during the forecast period

Anticipated for 2023, North America is poised to take the lead in the generative AI market, with the US spearheading this trajectory within the region. Multiple driving forces underpin North America's generative AI market ascendancy, encompassing the burgeoning demand for AI-generated content across sectors like media and entertainment, the expanding role of AI in healthcare and diverse industries, and the ample availability of substantial datasets for training generative models.

Furthermore, North America boasts a robust ecosystem of startups and venture capitalists, singularly focused on propelling LLM-as-a-service business model, thereby fostering innovation in the Large Language Model market and boosting Generative AI industry. Noteworthy industry players, including OpenAI, Nvidia, and Google, have their headquarters rooted in North America, further affirming the region's vanguard position in the generative AI landscape.

Generative AI Market Size, and Share

Key Market Players

The generative AI solution and service providers have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgrades, partnerships, and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. Some major players in the security automation market include Microsoft (US), IBM (US), Google (US), AWS (US), META (US), Adobe (US), OpenAI (US), and Insilico Medicine (Hong Kong), Simplified (US), Genie AI (UK), Lightricks (Israel), Lumen5 (Canada), Giphy (US), Dialpad (US), Persado (US), Codacy (Portugal), Paige.AI (US), Riffusion (US), PlayHT (US), Speechify (US), Media.io (France), Midjourney (US), FireFlies (US), Brandmark.io (Netherlands), Morphis Technologies (Portugal), Synthesia (UK), Mostly AI (Austria), Veesual (France), Deep AI (US), Galileo AI (US), Formula Bot (US), JetBrains (Czech Republic), Charater.AI (US), Hypotenuse AI (US), Viable (US), Defog.ai (US), Zeta Alpha (Netherlands), DeepSearch Labs (UK), Writesonic (US), amberSearch (Germany), Floworks (India), Inventive AI (US), Sonnet (US), Flair Labs (US), Gloo (US), Olli.AI (US), Hightime AI (US), GFP-GAN (US), Fontjoy (Italy), Eleuther AI (US), starryai (US), and Magic Studio (US).

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Scope of the Report

Report Metrics

Details

Market size available for years

2019–2030

Base year considered

2022

Forecast period

2023–2030

Forecast units

USD (Billion)

Segments covered

Offering, Application, Vertical, and Region

Geographies covered

North America, Asia Pacific, Europe, Middle East & Africa, and Latin America

Companies covered

Microsoft (US), IBM (US), Google (US), AWS (US), META (US), Adobe (US), OpenAI (US), and Insilico Medicine (Hong Kong), Simplified (US), Genie AI (UK), Lightricks (Israel), Lumen5 (Canada), Giphy (US), Dialpad (US), Persado (US), Codacy (Portugal), Paige.AI (US), Riffusion (US), Play.ht (India), Speechify (US), Media.io (France), Midjourney (US), FireFlies (US), Brandmark.io (Netherlands), Morphis Technologies (Portugal), Synthesia (UK), Mostly AI (Austria), Veesual (France), Deep AI (US), Galileo (US), Formula Bot (US), JetBrains (Czech Republic), Charater.AI (US), Hypotenuse AI (US), Viable (US), Defog.ai (US), Zeta Alpha (Netherlands), DeepSearch Labs (UK), Writesonic (US), AmberSearch (Germany), Floworks (India), Inventive AI (US), Sonnet (US), Flair Labs (US), Gloo (US), Olli.AI (US), Hightime AI (US), GFP-GAN (US), Fontjoy (Italy), Eleuther AI (US), starryai (US), Magic Studio (US)

This research report categorizes the Generative AI market based on offering, application, vertical, and region.

By Offering:
  • Software, By Generative Models
    • Rule-based Models
      • Knowledge-based Models
      • Script-based Models
      • Expert Systems
    • Statistical Models
      • Markov Models
      • Hidden Markov Models
      • Gaussian Mixture Models
      • Conditional Random Fields
    • Deep Learning Models
      • Feedforward Neural Networks
      • Recurrent Neural Networks
      • Long Short-Term Memory (LSTM) Neural Networks
      • Gated Recurrent Units (GRUs)
    • Generative Adversarial Networks (GAN)
      • Conditional GANs
      • Style GANs
      • Cycle GANs
    • Autoencoders
      • Denoising Autoencoders
      • Variational Autoencoders
    • Convolutional Neural Networks (CNNs)
      • Image-generatiing CNNs
      • Video-generating CNNs
    • Transformer-based Large Language Models (LLMs)
      • Bidirectional Encoder Representations from Transformers
      • Generative Pre-trained Transformer-1 (GPT-1)
      • Generative Pre-trained Transformer-2 (GPT-2)
      • Generative Pre-trained Transformer-3 (GPT-3)
      • Generative Pre-trained Transformer-4 (GPT-4)
      • Language Model for Dialogue Applications (LaMDA)
      • Other Transformer-based LLMs
  • Services
    • Professional Services
      • Training and Consulting Services
      • System Integration and Implementation Services
      • Support and Maintenance Services
    • Managed Services
By Application:
  • Application, By Business Function
    • Marketing & Sales
    • Human Resource
    • Operations
    • Finance
    • Research & Development (R&D)
    • Others
  • Application, By Data Modality
    • Text
    • Code
    • Image
    • Video
    • Audio & Speech
By Vertical:
  • Media & Entertainment
    • Digital Marketing
    • Sales Intelligence
    • Data Visualization
    • Customer Experience
    • Application Development & API Integration
    • General Search & Insight Generation
    • Media Editing
    • Synthetic Data Training
  • BFSI
    • Digital Marketing
    • Sales Intelligence
    • Data Visualization
    • Customer Experience
    • Application Development & API Integration
    • General Search & Insight Generation
    • Media Editing
    • Synthetic Data Training
    • Fraud Detection/Risk Management
  • Healthcare & Life Sciences
    • Digital Marketing
    • Sales Intelligence
    • Data Visualization
    • Customer Experience
    • Application Development & API Integration
    • General Search & Insight Generation
    • Media Editing
    • Synthetic Data Training
    • Fraud Detection/Risk Management
  • Manufacturing
    • Digital Marketing
    • Sales Intelligence
    • Data Visualization
    • Customer Experience
    • Application Development & API Integration
    • General Search & Insight Generation
    • Media Editing
    • Synthetic Data Training
    • 3D Design and Prototyping
    • Predictive Maintenance
  • Retail & eCommerce
    • Digital Marketing
    • Sales Intelligence
    • Data Visualization
    • Customer Experience
    • Application Development & API Integration
    • General Search & Insight Generation
    • Media Editing
    • Synthetic Data Training
    • Fraud Detection/Risk Management
  • Transportation & Logistics
    • Digital Marketing
    • Sales Intelligence
    • Data Visualization
    • Customer Experience
    • Application Development & API Integration
    • General Search & Insight Generation
    • Media Editing
    • Synthetic Data Training
    • Predictive Maintenance
    • Fraud Detection/Risk Management
  • Construction & Real Estate
    • Digital Marketing
    • Sales Intelligence
    • Data Visualization
    • Customer Experience
    • Application Development & API Integration
    • General Search & Insight Generation
    • Media Editing
    • Synthetic Data Training
    • 3D Design and Prototyping
    • Predictive Maintenance
  • Energy & Utilities
    • Digital Marketing
    • Sales Intelligence
    • Data Visualization
    • Customer Experience
    • Application Development & API Integration
    • General Search & Insight Generation
    • Media Editing
    • Synthetic Data Training
    • 3D Design and Prototyping
    • Predictive Maintenance
    • Fraud Detection/Risk Management
  • Government & Defense
    • Digital Marketing
    • Sales Intelligence
    • Data Visualization
    • Customer Experience
    • Application Development & API Integration
    • General Search & Insight Generation
    • Media Editing
    • Synthetic Data Training
    • Predictive Maintenance
    • Fraud Detection/Risk Management
  • IT & ITeS
    • Digital Marketing
    • Sales Intelligence
    • Data Visualization
    • Customer Experience
    • Application Development & API Integration
    • General Search & Insight Generation
    • Media Editing
    • Synthetic Data Training
  • Telecom
    • Digital Marketing
    • Sales Intelligence
    • Data Visualization
    • Customer Experience
    • Application Development & API Integration
    • General Search & Insight Generation
    • Media Editing
    • Synthetic Data Training
    • Predictive Maintenance
    • Fraud Detection/Risk Management
  • Others
By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Finland
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Singapore
    • Australia and New Zealand
    • Rest of Asia Pacific
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • South Africa
    • Israel
    • Turkey
    • Rest of Middle East and Africa
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Colombia
    • Rest of Latin America

Recent Developments:

  • In September 2023, Technology Innovation Institute (TII) unveiled the Falcon 180B LLM with 180 billion parameters. This model relies primarily on web data from RefinedWeb (85%) and includes curated content like conversations, technical papers, and code (3%). Falcon 180B's diverse dataset empowers it with extensive capabilities for natural language tasks, setting a new standard in the Large Language Model market.
  • In August 2023, IBM extended its collaboration with Microsoft to expedite the implementation of generative AI for shared clients. This expanded collaboration will introduce a fresh offering, furnishing clients with the necessary technology and expertise to revolutionize their business procedures and seamlessly expand the utilization of generative AI.
  • In August 2023, Google and Cognizant announced a partnership in which Cognizant will develop healthcare solutions based on LLMs developed by Google. This initiative aims to leverage the capabilities of generative AI to address various challenges within the healthcare industry, creating new growth avenues for the LLM market.
  • In August 2023, IBM, and the United States Tennis Association (USTA) unveiled digital fan enhancements to be featured on USOpen.org and the US Open app. These enhancements encompass various features, including spoken commentary generated through Artificial Intelligence (AI).
  • In July 2023, Caylent and AWS announced a collaboration to tackle customer objectives concerning generative AI. This collaboration involves an evaluation of their data environment and organizational preparedness using Caylent's Generative AI Strategy Catalyst.
  • In July 2023, Shutterstock broadened its partnership with OpenAI to develop tools based on generative AI. Shutterstock intends to extend its current agreement with OpenAI by furnishing the startup with training data for its AI models.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 41)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED 
           TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2019–2022
    1.5 STAKEHOLDERS 
 
2 RESEARCH METHODOLOGY (Page No. - 46)
    2.1 RESEARCH DATA 
           FIGURE 1 GENERATIVE AI MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    TABLE 2 PRIMARY INTERVIEWS
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key industry insights
    2.2 DATA TRIANGULATION 
           FIGURE 2 DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION 
           FIGURE 3 GENERATIVE AI MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): REVENUE FROM SOLUTIONS/SERVICES OF MARKET
                    FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF MARKET
                    FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF MARKET
                    FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF GENERATIVE AI THROUGH OVERALL GENERATIVE AI SPENDING
    2.4 MARKET FORECAST 
           TABLE 3 FACTOR ANALYSIS
    2.5 RESEARCH ASSUMPTIONS 
    2.6 STUDY LIMITATIONS 
    2.7 IMPLICATIONS OF RECESSION IMPACT ON GENERATIVE AI MARKET 
 
3 EXECUTIVE SUMMARY (Page No. - 60)
    TABLE 4 GLOBAL MARKET SIZE AND GROWTH RATE, 2019–2022 (USD MILLION, Y-O-Y %) 
    TABLE 5 GLOBAL MARKET SIZE AND GROWTH RATE, 2023–2030 (USD MILLION, Y-O-Y %) 
    FIGURE 8 SOFTWARE SEGMENT TO HOLD LARGER MARKET SIZE IN 2023 
    FIGURE 9 PROFESSIONAL SERVICES TO ACCOUNT FOR MAJOR MARKET SHARE IN 2023 
    FIGURE 10 TRAINING AND CONSULTING SERVICES TO DOMINATE MARKET IN 2023 
    FIGURE 11 MARKETING AND SALES BUSINESS FUNCTION SEGMENT TO HOLD LARGEST MARKET SIZE IN 2023 
    FIGURE 12 TEXT DATA MODALITY SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023 
    FIGURE 13 MEDIA AND ENTERTAINMENT VERTICAL TO HOLD LARGEST MARKET SHARE IN 2023 
    FIGURE 14 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2023 
 
4 PREMIUM INSIGHTS (Page No. - 66)
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN GENERATIVE AI MARKET 
           FIGURE 15 INCREASING EXPANSION OF LLM MARKET AND IMPROVING PERFORMANCE OF DEEP LEARNING MODELS TO DRIVE MARKET
    4.2 MARKET: TOP THREE APPLICATIONS 
           FIGURE 16 IMAGE DATA MODALITY SEGMENT TO WITNESS HIGHEST GROWTH RATE DURING FORECAST PERIOD
    4.3 NORTH AMERICA: MARKET, BY OFFERING AND VERTICAL 
           FIGURE 17 SOFTWARE AND MEDIA AND ENTERTAINMENT TO BE LARGEST SHAREHOLDERS IN NORTH AMERICAN MARKET IN 2023
    4.4 MARKET, BY REGION 
           FIGURE 18 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2023
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 69)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 19 GENERATIVE AI MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
           5.2.1 DRIVERS
                    5.2.1.1 Innovation of cloud storage enabling easy access to data
                    5.2.1.2 Evolution of AI and deep learning
                    5.2.1.3 Rise in content creation and creative applications
                               FIGURE 20 SYNTHETIC DATA TO ACCOUNT FOR MAJORITY OF DATA VOLUME BY 2030
           5.2.2 RESTRAINTS
                    5.2.2.1 High costs associated with training data preparation
                    5.2.2.2 Issues related to bias and inaccurately generated output
                               FIGURE 21 ISSUES RELATED TO TRAINING DATA HIGHLIGHTED IN CHATGPT’S RESPONSES
                    5.2.2.3 Risks associated with data breaches and sensitive information leakage
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Rapid growth of Large Language Model market
                    5.2.3.2 Growing interest of enterprises in commercializing synthetic images
                    5.2.3.3 Robust improvement in generative ML leading to human baseline performance
           5.2.4 CHALLENGES
                    5.2.4.1 Concerns regarding misuse of generative AI for illegal activities
                    5.2.4.2 Quality of output generated by generative AI models
                    5.2.4.3 Computational complexity and technical challenges of generative AI
    5.3 ETHICS AND IMPLICATIONS OF GENERATIVE AI 
           FIGURE 22 GENERATIVE AI ETHICAL SCENARIO TIMELINE, 2023–2025
           5.3.1 BIAS AND FAIRNESS
           5.3.2 PRIVACY AND SECURITY
           5.3.3 INTELLECTUAL PROPERTY
           5.3.4 ACCOUNTABILITY AND RESPONSIBILITY
           5.3.5 SOCIETAL AND ECONOMIC IMPACT
    5.4 ADVENT OF GENERATIVE TECHNOLOGY 
    5.5 BRIEF HISTORY OF GENERATIVE AI 
           FIGURE 23 BRIEF HISTORY OF GENERATIVE AI
           5.5.1 GENERATIVE AI ROADMAP UNTIL 2030
                    FIGURE 24 GENERATIVE AI ROADMAP UNTIL 2030
    5.6 ECOSYSTEM ANALYSIS 
           FIGURE 25 GENERATIVE AI MARKET ECOSYSTEM
           5.6.1 TEXT-BASED GENERATIVE AI VENDORS
                    TABLE 6 TEXT-BASED GENERATIVE AI VENDORS
           5.6.2 VIDEO-BASED GENERATIVE AI VENDORS
                    TABLE 7 VIDEO-BASED GENERATIVE AI VENDORS
           5.6.3 IMAGE-BASED GENERATIVE AI VENDORS
                    TABLE 8 IMAGE-BASED GENERATIVE AI VENDORS
           5.6.4 AUDIO & SPEECH-BASED GENERATIVE AI VENDORS
                    TABLE 9 AUDIO & SPEECH-BASED GENERATIVE AI VENDORS
           5.6.5 CODE-BASED GENERATIVE AI VENDORS
                    TABLE 10 CODE-BASED GENERATIVE AI VENDORS
           5.6.6 GENERATIVE AI END-USERS
                    TABLE 11 GENERATIVE AI END-USERS
           5.6.7 GENERATIVE AI REGULATORY BODIES
                    TABLE 12 GENERATIVE AI REGULATORY BODIES
    5.7 GENERATIVE AI TOOLS AND FRAMEWORK 
           5.7.1 TENSORFLOW
           5.7.2 PYTORCH
           5.7.3 KERAS
           5.7.4 CAFFE
           5.7.5 THEANO
           5.7.6 MXNET
           5.7.7 TORCH
           5.7.8 HUGGING FACE
    5.8 GENERATIVE AI TECHNIQUES AND METHODS 
           5.8.1 TEXT GENERATION AND LANGUAGE MODELING
                    5.8.1.1 Recurrent neural networks for text generation
                    5.8.1.2 Language modeling with transformers
                    5.8.1.3 Seq2Seq models for translation
           5.8.2 IMAGE AND VIDEO GENERATION
                    5.8.2.1 Generative adversarial networks for image generation
                    5.8.2.2 Style transfer and image-to-image translation
                    5.8.2.3 Video generation with GANs
           5.8.3 MUSIC AND AUDIO GENERATION
                    5.8.3.1 WaveNet and SampleRNN for audio generation
                    5.8.3.2 Music generation with LSTM networks
           5.8.4 REINFORCEMENT LEARNING
                    5.8.4.1 Policy gradient methods
                    5.8.4.2 Actor-critic methods
    5.9 GENERATIVE AI INVESTMENT LANDSCAPE 
           FIGURE 26 INVESTOR DEALS AND FUNDING IN GENERATIVE AI SOARED IN 2022
           FIGURE 27 MOST VALUED GENERATIVE AI FIRMS IN 2022 (USD BILLION)
           FIGURE 28 DISTRIBUTION OF GENERATIVE AI FUNDING, 2021–2022
    5.10 CASE STUDY ANALYSIS 
           5.10.1 CASE STUDY 1: MARKS & SPENCER LIFTED EMAIL CONVERSION BY 20-34% BY PERSADO’S MOTIVATION AI
           5.10.2 CASE STUDY 2: VODAFONE GROUP PLC UNCOVERED KEY TRENDS AND RICH INSIGHTS THROUGH PERSADO’S MOTIVATION AI
           5.10.3 CASE STUDY 3: WPP TRAINED 50,000 EMPLOYEES WITH AI VIDEOS
           5.10.4 CASE STUDY 4: TELEPERFORMANCE TRAINS GLOBAL WORKFORCE
           5.10.5 CASE STUDY 5: CISCO SCALED VIDEO CONTENT LOCALIZATION USING LUMEN5
           5.10.6 CASE STUDY 6: SIEMENS DIGITALIZED ITS COMMUNICATIONS WITH LUMEN5
           5.10.7 CASE STUDY 7: INTEL AND ACCENTURE COLLABORATED TO CREATE SET OF 34 OPEN-SOURCE AI REFERENCE KITS
    5.11 SUPPLY CHAIN ANALYSIS 
                    FIGURE 29 GENERATIVE AI MARKET: SUPPLY CHAIN ANALYSIS
                    TABLE 13 MARKET: SUPPLY CHAIN ANALYSIS
    5.12 REGULATORY LANDSCAPE 
           5.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 14 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 15 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 16 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 17 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 18 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.12.2 THE EUROPEAN UNION (EU) - ARTIFICIAL INTELLIGENCE ACT (AIA)
           5.12.3 INTERIM ADMINISTRATIVE MEASURES FOR GENERATIVE ARTIFICIAL INTELLIGENCE SERVICES
           5.12.4 GENERAL DATA PROTECTION REGULATION
           5.12.5 NATIONAL ARTIFICIAL INTELLIGENCE INITIATIVE ACT (NAIIA)
           5.12.6 INFORMATION SECURITY TECHNOLOGY - PERSONAL INFORMATION SECURITY SPECIFICATION GB/T 35273-2017
           5.12.7 THE ARTIFICIAL INTELLIGENCE AND DATA ACT (AIDA)
           5.12.8 GENERAL DATA PROTECTION LAW
           5.12.9 LAW NO 13 OF 2016 ON PROTECTING PERSONAL DATA
                    5.12.10 NIST SPECIAL PUBLICATION 800-144 - GUIDELINES ON SECURITY AND PRIVACY IN PUBLIC CLOUD COMPUTING
    5.13 PATENT ANALYSIS 
           5.13.1 METHODOLOGY
           5.13.2 PATENTS FILED, BY DOCUMENT TYPE, 2013–2023
                    TABLE 19 PATENTS FILED, 2013–2023
           5.13.3 INNOVATION AND PATENT APPLICATIONS
                    FIGURE 30 TOTAL NUMBER OF PATENTS GRANTED, 2013–2023
           5.13.4 TOP APPLICANTS
                    FIGURE 31 TOP TEN PLAYERS WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2013–2023
                    FIGURE 32 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013–2023
                    TABLE 20 TOP 20 PATENT OWNERS IN GENERATIVE AI MARKET, 2013–2023
                    TABLE 21 PATENTS IN MARKET, 2023
    5.14 KEY CONFERENCES AND EVENTS, 2023–2024 
                    TABLE 22 MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2023–2024
    5.15 PRICING ANALYSIS 
           5.15.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY APPLICATION
                    FIGURE 33 AVERAGE SELLING PRICES OF KEY PLAYERS FOR TOP 3 APPLICATIONS
                    TABLE 23 AVERAGE SELLING PRICES OF KEY PLAYERS FOR TOP 3 APPLICATIONS (USD)
           5.15.2 INDICATIVE PRICING ANALYSIS OF GENERATIVE AI SOLUTIONS
                    TABLE 24 INDICATIVE PRICING ANALYSIS OF GENERATIVE AI SOLUTIONS
    5.16 PORTER’S FIVE FORCES ANALYSIS 
                    TABLE 25 IMPACT OF EACH FORCE ON MARKET
                    FIGURE 34 GENERATIVE AI MARKET: PORTER’S FIVE FORCES ANALYSIS
           5.16.1 THREAT OF NEW ENTRANTS
           5.16.2 THREAT OF SUBSTITUTES
           5.16.3 BARGAINING POWER OF SUPPLIERS
           5.16.4 BARGAINING POWER OF BUYERS
           5.16.5 INTENSITY OF COMPETITIVE RIVALRY
    5.17 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.17.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 35 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
                    TABLE 26 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
           5.17.2 BUYING CRITERIA
                    FIGURE 36 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
                    TABLE 27 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
    5.18 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENT’S BUSINESS 
                    FIGURE 37 GENERATIVE AI MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENT’S BUSINESS
    5.19 FUTURE OF GENERATIVE AI 
           5.19.1 ADVANCEMENTS IN TECHNIQUES AND METHODS
           5.19.2 EMERGING APPLICATIONS AND INDUSTRIES
    5.20 GENERATIVE AI BUSINESS MODELS 
           FIGURE 38 GENERATIVE AI BUSINESS MODELS
           5.20.1 GENERATIVE AI MODEL-AS-A-SERVICE
           5.20.2 BUILT-IN-APPS BUSINESS MODEL
           5.20.3 VERTICAL INTEGRATION BUSINESS MODEL
                    5.20.3.1 Generative tech's impact on web 3.0 and crypto
                               FIGURE 39 IMPACT OF GENERATIVE TECH ON WEB 3.0
 
6 GENERATIVE AI MARKET, BY OFFERING (Page No. - 127)
    6.1 INTRODUCTION 
           6.1.1 OFFERING: MARKET DRIVERS
                    FIGURE 40 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 28 MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                    TABLE 29 MARKET, BY OFFERING, 2023–2030 (USD MILLION)
    6.2 SOFTWARE 
           TABLE 30 SOFTWARE: MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 31 SOFTWARE: MARKET, BY REGION, 2023–2030 (USD MILLION)
           6.2.1 GENERATIVE AI SOFTWARE, BY GENERATIVE MODEL
                    FIGURE 41 DEEP LEARNING SUB-SEGMENT TO HOLD LARGEST SHARE OF MARKET FOR SOFTWARE IN 2023
                    TABLE 32 SOFTWARE: MARKET, BY GENERATIVE MODEL, 2019–2022 (USD MILLION)
                    TABLE 33 SOFTWARE: MARKET, BY GENERATIVE MODEL, 2023–2030 (USD MILLION)
                    6.2.1.1 Rule-based models
                               6.2.1.1.1 Rule-based models offer clear and interpretable approach to generative AI with explicit rules for data generation
                               TABLE 34 RULE-BASED MODELS: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 35 RULE-BASED MODELS: MARKET, BY REGION, 2023–2030 (USD MILLION)
                                             6.2.1.1.1.1 Knowledge-based models
                                             6.2.1.1.1.2 Script-based models
                                             6.2.1.1.1.3 Expert systems
                    6.2.1.2 Statistical models
                               6.2.1.2.1 Statistical models provide powerful way to capture complex patterns in data and generate precise outputs
                               TABLE 36 STATISTICAL MODELS: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 37 STATISTICAL MODELS: MARKET, BY REGION, 2023–2030 (USD MILLION)
                                             6.2.1.2.1.1 Markov models
                                             6.2.1.2.1.2 Hidden Markov models
                                             6.2.1.2.1.3 Gaussian mixture models
                                             6.2.1.2.1.4 Conditional random fields
                    6.2.1.3 Deep learning models
                               6.2.1.3.1 Deep learning models excel at generative tasks requiring fine-grained details
                               TABLE 38 DEEP LEARNING MODELS: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 39 DEEP LEARNING MODELS: MARKET, BY REGION, 2023–2030 (USD MILLION)
                                             6.2.1.3.1.1 Feedforward neural networks
                                             6.2.1.3.1.2 Recurrent neural networks
                                             6.2.1.3.1.3 Long short-term memory (LSTM) networks
                                             6.2.1.3.1.4 Gated recurrent units (GRUs)
                    6.2.1.4 Generative adversarial networks (GANs)
                               6.2.1.4.1 GANs provide unique approach to generative AI by training two competing neural networks to generate diverse data
                               TABLE 40 GENERATIVE ADVERSARIAL NETWORKS: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 41 GENERATIVE ADVERSARIAL NETWORKS: MARKET, BY REGION, 2023–2030 (USD MILLION)
                                             6.2.1.4.1.1 Conditional generative adversarial networks (CGANs)
                                             6.2.1.4.1.2 Style GANs
                                             6.2.1.4.1.3 Cycle GANs
                    6.2.1.5 Autoencoders
                               6.2.1.5.1 Autoencoders used for generative tasks requiring new data points similar to original input
                               TABLE 42 AUTOENCODERS: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 43 AUTOENCODERS: MARKET, BY REGION, 2023–2030 (USD MILLION)
                                             6.2.1.5.1.1 Denoising autoencoders
                                             6.2.1.5.1.2 Variational autoencoders
                    6.2.1.6 Convolutional neural networks (CNNs)
                               6.2.1.6.1 Convolutional neural networks (CNNs) learn hierarchical features of image data to generate realistic images
                               TABLE 44 CONVOLUTIONAL NEURAL NETWORKS: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 45 CONVOLUTIONAL NEURAL NETWORKS: MARKET, BY REGION, 2023–2030 (USD MILLION)
                                             6.2.1.6.1.1 Image-generating CNNs
                                             6.2.1.6.1.2 Video-generating CNNs
                    6.2.1.7 Transformer-based Large Language Models (LLMs)
                               6.2.1.7.1 Large Language Model Market is growing rapidly as LLMs offer coherent and contextually relevant text
                               TABLE 46 TRANSFORMER-BASED LLMS: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 47 TRANSFORMER-BASED LLMS: MARKET, BY REGION, 2023–2030 (USD MILLION)
                                             6.2.1.7.1.1 Bidirectional encoder representations from transformers (BERTs)
                                             6.2.1.7.1.2 Generative pre-trained transformer-1 (GPT-1)
                                             6.2.1.7.1.3 Generative pre-trained transformer-2 (GPT-2)
                                             6.2.1.7.1.4 Generative pre-trained transformer-3 (GPT-3)
                                             6.2.1.7.1.5 Generative pre-trained transformer-4 (GPT-4)
                                             6.2.1.7.1.6 Language model for dialogue applications (LaMDA)
                                             6.2.1.7.1.7 Other transformer models
    6.3 SERVICES 
           FIGURE 42 MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR IN MARKET FOR SERVICES DURING FORECAST PERIOD
           TABLE 48 MARKET, BY SERVICES, 2019–2022 (USD MILLION)
           TABLE 49 MARKET, BY SERVICES, 2023–2030 (USD MILLION)
           TABLE 50 SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 51 SERVICES: MARKET, BY REGION, 2023–2030 (USD MILLION)
           6.3.1 PROFESSIONAL SERVICES
                    6.3.1.1 Professional services offer specialized expertise in generative AI to meet specific needs
                               FIGURE 43 SYSTEM INTEGRATION AND IMPLEMENTATION SUB-SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                               TABLE 52 SERVICES: GENERATIVE AI MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
                               TABLE 53 SERVICES: MARKET, BY PROFESSIONAL SERVICE, 2023–2030 (USD MILLION)
                               TABLE 54 PROFESSIONAL SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 55 PROFESSIONAL SERVICES: MARKET, BY REGION, 2023–2030 (USD MILLION)
                               6.3.1.1.1 Training and consulting services
                               TABLE 56 TRAINING AND CONSULTING SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 57 TRAINING AND CONSULTING SERVICES: MARKET, BY REGION, 2023–2030 (USD MILLION)
                               6.3.1.1.2 System integration and implementation services
                               TABLE 58 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 59 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES: MARKET, BY REGION, 2023–2030 (USD MILLION)
                               6.3.1.1.3 Support and maintenance services
                               TABLE 60 SUPPORT AND MAINTENANCE SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 61 SUPPORT AND MAINTENANCE SERVICES: MARKET, BY REGION, 2023–2030 (USD MILLION)
           6.3.2 MANAGED SERVICES
                    6.3.2.1 Managed services provide end-to-end management for generative AI helping businesses to focus on core competencies
                               TABLE 62 MANAGED SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 63 MANAGED SERVICES: MARKET, BY REGION, 2023–2030 (USD MILLION)
 
7 GENERATIVE AI MARKET, BY APPLICATION (Page No. - 156)
    7.1 INTRODUCTION 
    7.2 APPLICATION BY BUSINESS FUNCTION 
           7.2.1 LLM MARKET TO GET SIGNIFICANT BOOST AS GENERATIVE AI HELPS BUSINESS CREATE ENGAGING AND PERSONALIZED CONTENT
           7.2.2 APPLICATION BY BUSINESS FUNCTION: MARKET DRIVERS
                    FIGURE 44 OPERATIONS SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE DURING FORECAST PERIOD
                    TABLE 64 APPLICATION BY BUSINESS FUNCTION: MARKET, 2019–2022 (USD MILLION)
                    TABLE 65 APPLICATION BY BUSINESS FUNCTION: MARKET, 2023–2030 (USD MILLION)
           7.2.3 MARKETING & SALES
                    7.2.3.1 Growth in LLM market to revolutionize ways businesses interact and generate compelling ad copy and product descriptions
                               TABLE 66 MARKETING & SALES: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 67 MARKETING & SALES: MARKET, BY REGION, 2023–2030 (USD MILLION)
           7.2.4 HUMAN RESOURCE
                    7.2.4.1 Generative AI to promote diversity and inclusivity by creating impartial job descriptions and customizing learning materials
                               TABLE 68 HUMAN RESOURCE: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 69 HUMAN RESOURCE: MARKET, BY REGION, 2023–2030 (USD MILLION)
           7.2.5 OPERATIONS
                    7.2.5.1 Generative AI to enhance productivity, streamline processes, and decrease human error in operation system
                               TABLE 70 OPERATIONS: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 71 OPERATIONS: MARKET, BY REGION, 2023–2030 (USD MILLION)
           7.2.6 FINANCE
                    7.2.6.1 Generative AI to generate standardized financial reports, simplify reporting process, reduce manual labor, and minimize errors
                               TABLE 72 FINANCE: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 73 FINANCE: MARKET, BY REGION, 2023–2030 (USD MILLION)
           7.2.7 RESEARCH & DEVELOPMENT
                    7.2.7.1 Generative AI to accurately predict outcomes and performance metrics and simulate experiments and scenarios
                               TABLE 74 RESEARCH & DEVELOPMENT: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 75 RESEARCH & DEVELOPMENT: MARKET, BY REGION, 2023–2030 (USD MILLION)
           7.2.8 OTHERS
                    7.2.8.1 Generative AI assists in hardening IT systems and providing meaningful strategic insights via data visualization
                               TABLE 76 OTHER BUSINESS FUNCTIONS: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 77 OTHER BUSINESS FUNCTIONS: MARKET, BY REGION, 2023–2030 (USD MILLION)
    7.3 APPLICATION BY DATA MODALITY 
           7.3.1 GENERATIVE AI TO SWIFTLY PRODUCE CODE SNIPPETS, PROTOTYPES, AND COMPLETE PROGRAMS
           7.3.2 APPLICATION BY DATA MODALITY: MARKET DRIVERS
                    FIGURE 45 IMAGE DATA MODALITY SEGMENT TO ACCOUNT FOR THE HIGHEST MARKET GROWTH DURING FORECAST PERIOD
                    TABLE 78 APPLICATION BY DATA MODALITY: MARKET, 2019–2022 (USD MILLION)
                    TABLE 79 APPLICATION BY DATA MODALITY: MARKET, 2023–2030 (USD MILLION)
           7.3.3 TEXT
                    7.3.3.1 Generative AI to boost LLM market transformation with accurate text generation
                               TABLE 80 TEXT: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 81 TEXT: MARKET, BY REGION, 2023–2030 (USD MILLION)
           7.3.4 CODE
                    7.3.4.1 Generative AI to create routine code snippets and elevate software development
                               TABLE 82 CODE: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 83 CODE: MARKET, BY REGION, 2023–2030 (USD MILLION)
           7.3.5 IMAGE
                    7.3.5.1 Generative AI to create realistic images by advanced deep learning
                               TABLE 84 IMAGE: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 85 IMAGE: MARKET, BY REGION, 2023–2030 (USD MILLION)
           7.3.6 VIDEO
                    7.3.6.1 Generative AI to reshape video generation by creating, manipulating, and analyzing video content
                               TABLE 86 IDEO: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 87 VIDEO: MARKET, BY REGION, 2023–2030 (USD MILLION)
           7.3.7 AUDIO & SPEECH
                    7.3.7.1 Generative AI to revolutionize audio content with cutting-edge methodologies, such as RNNs and CNNs, and transformative models
                               TABLE 88 AUDIO & SPEECH: MARKET, BY REGION, 2019–2022 (USD MILLION)
                               TABLE 89 AUDIO & SPEECH: MARKET, BY REGION, 2023–2030 (USD MILLION)
 
8 GENERATIVE AI MARKET, BY VERTICAL (Page No. - 175)
    8.1 INTRODUCTION 
           8.1.1 VERTICAL: MARKET DRIVERS
                    FIGURE 46 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 90 MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
                    TABLE 91 MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
                    TABLE 92 MARKET, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 93 MARKET, BY USE CASE, 2023–2030 (USD MILLION)
    8.2 MEDIA & ENTERTAINMENT 
           8.2.1 GENERATIVE AI TO PRODUCE CAPTIVATING AND EXCLUSIVE CONTENT EFFICIENTLY THAN TRADITIONAL METHODS
           8.2.2 MEDIA & ENTERTAINMENT: GENERATIVE AI SUCCESS STORIES
                    FIGURE 47 MEDIA & ENTERTAINMENT: GENERATIVE AI SUCCESS STORIES
                    TABLE 94 MEDIA & ENTERTAINMENT: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 95 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    TABLE 96 MEDIA & ENTERTAINMENT: MARKET, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 97 MEDIA & ENTERTAINMENT: MARKET, BY USE CASE, 2023–2030 (USD MILLION)
                    8.2.2.1 Digital Marketing
                    8.2.2.2 Sales Intelligence
                    8.2.2.3 Data Visualization
                    8.2.2.4 Customer Experience
                    8.2.2.5 Application Development & API Integration
                    8.2.2.6 General Search & Insight Generation
                    8.2.2.7 Media Editing
                    8.2.2.8 Synthetic Data Training
    8.3 BFSI 
           8.3.1 GENERATIVE AI TO OPTIMIZE OPERATIONS, IMPROVE CUSTOMER EXPERIENCE, AND MANAGE RISKS
           8.3.2 BFSI: GENERATIVE AI SUCCESS STORIES
                    FIGURE 48 BFSI: GENERATIVE AI SUCCESS STORIES
                    TABLE 98 BFSI: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 99 BFSI: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    TABLE 100 BFSI: MARKET, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 101 BFSI: MARKET, BY USE CASE, 2023–2030 (USD MILLION)
                    8.3.2.1 Digital Marketing
                    8.3.2.2 Sales Intelligence
                    8.3.2.3 Data Visualization
                    8.3.2.4 Customer Experience
                    8.3.2.5 Application Development & API Integration
                    8.3.2.6 General Search & Insight Generation
                    8.3.2.7 Media Editing
                    8.3.2.8 Synthetic Data Training
                    8.3.2.9 Fraud Detection/Risk Management
    8.4 HEALTHCARE & LIFE SCIENCES 
           8.4.1 GENERATIVE AI TO HELP DETECT PATTERNS AND ANOMALIES ACCURATELY AND FASTER
           8.4.2 HEALTHCARE & LIFE SCIENCES: GENERATIVE AI SUCCESS STORIES
                    FIGURE 49 HEALTHCARE & LIFE SCIENCES: GENERATIVE AI SUCCESS STORIES
                    TABLE 102 HEALTHCARE & LIFE SCIENCES: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 103 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    TABLE 104 HEALTHCARE & LIFE SCIENCES: MARKET, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 105 HEALTHCARE & LIFE SCIENCES: MARKET, BY USE CASE, 2023–2030 (USD MILLION)
                    8.4.2.1 Digital Marketing
                    8.4.2.2 Sales Intelligence
                    8.4.2.3 Data Visualization
                    8.4.2.4 Customer Experience
                    8.4.2.5 Application Development & API Integration
                    8.4.2.6 General Search & Insight Generation
                    8.4.2.7 Media Editing
                    8.4.2.8 Synthetic Data Training
                    8.4.2.9 Fraud Detection/Risk Management
    8.5 MANUFACTURING 
           8.5.1 GENERATIVE AI TO IMPROVE PROTOTYPE DESIGN AND CAPACITY PLANNING IN SMART FACTORIES
           8.5.2 MANUFACTURING: GENERATIVE AI SUCCESS STORIES
                    FIGURE 50 MANUFACTURING: GENERATIVE AI SUCCESS STORIES
                    TABLE 106 MANUFACTURING: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 107 MANUFACTURING: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    TABLE 108 MANUFACTURING: MARKET, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 109 MANUFACTURING: MARKET, BY USE CASE, 2023–2030 (USD MILLION)
                    8.5.2.1 Digital Marketing
                    8.5.2.2 Sales Intelligence
                    8.5.2.3 Data Visualization
                    8.5.2.4 Customer Experience
                    8.5.2.5 Application Development & API Integration
                    8.5.2.6 General Search and Insight Generation
                    8.5.2.7 Media Editing
                    8.5.2.8 3D Desing and Prototyping
                    8.5.2.9 Synthetic Data Training
                    8.5.2.10 Predictive Maintenance
    8.6 RETAIL & ECOMMERCE 
           8.6.1 GENERATIVE AI TO HELP RETAIL SECTOR OPTIMIZE INVENTORY PLANNING WHILE REDUCING SHELF SHRINKAGE
           8.6.2 RETAIL & ECOMMERCE: GENERATIVE AI SUCCESS STORIES
                    FIGURE 51 RETAIL & ECOMMERCE: GENERATIVE AI SUCCESS STORIES
                    TABLE 110 RETAIL & ECOMMERCE: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 111 RETAIL & ECOMMERCE: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    TABLE 112 RETAIL & ECOMMERCE: MARKET, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 113 RETAIL & ECOMMERCE: MARKET, BY USE CASE, 2023–2030 (USD MILLION)
                    8.6.2.1 Digital Marketing
                    8.6.2.2 Sales Intelligence
                    8.6.2.3 Data Visualization
                    8.6.2.4 Customer Experience
                    8.6.2.5 Application Development & API Integration
                    8.6.2.6 General Search & Insight Generation
                    8.6.2.7 Media Editing
                    8.6.2.8 Synthetic Data Training
                    8.6.2.9 Fraud Detection/Risk Management
    8.7 TRANSPORTATION & LOGISTICS 
           8.7.1 GENERATIVE AI TO OPTIMIZE ROUTE, ENSURE TRAFFIC PLANNING, AND DETECT PATTERNS THAT SUGGEST POTENTIAL FAILURES
           8.7.2 TRANSPORTATION & LOGISTICS: GENERATIVE AI SUCCESS STORIES
                    FIGURE 52 TRANSPORTATION & LOGISTICS: GENERATIVE AI SUCCESS STORIES
                    TABLE 114 TRANSPORTATION & LOGISTICS: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 115 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    TABLE 116 TRANSPORTATION & LOGISTICS: MARKET, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 117 TRANSPORTATION & LOGISTICS: MARKET, BY USE CASE, 2023–2030 (USD MILLION)
                    8.7.2.1 Digital Marketing
                    8.7.2.2 Sales Intelligence
                    8.7.2.3 Data Visualization
                    8.7.2.4 Customer Experience
                    8.7.2.5 Application Development & API Integration
                    8.7.2.6 General Search & Insight Generation
                    8.7.2.7 Media Editing
                    8.7.2.8 Synthetic Data Training
                    8.7.2.9 Predictive Maintenance
                    8.7.2.10 Fraud Detection/Risk Management
    8.8 CONSTRUCTION & REAL ESTATE 
           8.8.1 INTEGRATION OF GENERATIVE AI TO HELP REAL ESTATE FIRMS ATTRACT AND RETAIN TENANTS
           8.8.2 CONSTRUCTION & REAL ESTATE: GENERATIVE AI SUCCESS STORIES
                    FIGURE 53 CONSTRUCTION & REAL ESTATE: GENERATIVE AI SUCCESS STORIES
                    TABLE 118 CONSTRUCTION & REAL ESTATE: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 119 CONSTRUCTION & REAL ESTATE: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    TABLE 120 CONSTRUCTION & REAL ESTATE: MARKET, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 121 CONSTRUCTION & REAL ESTATE: MARKET, BY USE CASE, 2023–2030 (USD MILLION)
                    8.8.2.1 Digital Marketing
                    8.8.2.2 Sales Intelligence
                    8.8.2.3 Data Visualization
                    8.8.2.4 Customer Experience
                    8.8.2.5 Application Development & API Integration
                    8.8.2.6 General Search & Insight Generation
                    8.8.2.7 Media Editing
                    8.8.2.8 3D Desing & Prototyping
                    8.8.2.9 Synthetic Data Training
                    8.8.2.10 Predictive Maintenance
    8.9 ENERGY & UTILITIES 
           8.9.1 GENERATIVE AI TOOLS TO DETECT OUTAGES AND OFFER QUALITY SERVICES TO RETAIN EXISTING CUSTOMERS
           8.9.2 ENERGY & UTILITIES: GENERATIVE AI SUCCESS STORIES
                    FIGURE 54 ENERGY & UTILITIES: GENERATIVE AI SUCCESS STORIES
                    TABLE 122 ENERGY & UTILITIES: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 123 ENERGY & UTILITIES: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    TABLE 124 ENERGY & UTILITIES: MARKET, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 125 ENERGY & UTILITIES: MARKET, BY USE CASE, 2023–2030 (USD MILLION)
                    8.9.2.1 Digital Marketing
                    8.9.2.2 Sales Intelligence
                    8.9.2.3 Data Visualization
                    8.9.2.4 Customer Experience
                    8.9.2.5 Application Development & API Integration
                    8.9.2.6 General Search & Insight Generation
                    8.9.2.7 Media Editing
                    8.9.2.8 3D Desing & Prototyping
                    8.9.2.9 Synthetic Data Training
                    8.9.2.10 Predictive Maintenance
                    8.9.2.11 Fraud Detection/Risk Management
    8.10 GOVERNMENT & DEFENSE 
           8.10.1 GENERATIVE AI TOOLS TO DETECT THREAT AND ENHANCE SURVEILLANCE
           8.10.2 GOVERNMENT & DEFENSE: GENERATIVE AI SUCCESS STORIES
                    FIGURE 55 GOVERNMENT & DEFENSE: GENERATIVE AI SUCCESS STORIES
                    TABLE 126 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 127 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    TABLE 128 GOVERNMENT & DEFENSE: MARKET, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 129 GOVERNMENT & DEFENSE: MARKET, BY USE CASE, 2023–2030 (USD MILLION)
                    8.10.2.1 Digital Marketing
                    8.10.2.2 Sales Intelligence
                    8.10.2.3 Data Visualization
                    8.10.2.4 Customer Experience
                    8.10.2.5 Application Development & API Integration
                    8.10.2.6 General Search & Insight Generation
                    8.10.2.7 Media Editing
                    8.10.2.8 Synthetic Data Training
                    8.10.2.9 Predictive Maintenance
                               8.10.2.10 Fraud Detection/Risk Management
    8.11 IT & ITES 
           8.11.1 GENERATIVE AI TO HELP IMPROVE CYBERSECURITY, MINIMIZE COSTS, AND ENHANCE USER EXPERIENCE
           8.11.2 IT & ITES: GENERATIVE AI SUCCESS STORIES
                    FIGURE 56 IT & ITES: GENERATIVE AI SUCCESS STORIES
                    TABLE 130 IT & ITES: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 131 IT & ITES: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    TABLE 132 IT & ITES: MARKET, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 133 IT & ITES: MARKET, BY USE CASE, 2023–2030 (USD MILLION)
                    8.11.2.1 Digital Marketing
                    8.11.2.2 Sales Intelligence
                    8.11.2.3 Data Visualization
                    8.11.2.4 Customer Experience
                    8.11.2.5 Application Development & API Integration
                    8.11.2.6 General Search & Insight Generation
                    8.11.2.7 Media Editing
                    8.11.2.8 Synthetic Data Training
    8.12 TELECOMMUNICATIONS 
           8.12.1 GENERATIVE AI TO OPTIMIZE NETWORK OPERATIONS AND PLANNING AND AUGMENT CUSTOMER SERVICES
           8.12.2 TELECOMMUNICATIONS: GENERATIVE AI SUCCESS STORIES
                    FIGURE 57 TELECOMMUNICATIONS: GENERATIVE AI SUCCESS STORIES
                    TABLE 134 TELECOMMUNICATIONS: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 135 TELECOMMUNICATIONS: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    TABLE 136 TELECOMMUNICATIONS: MARKET, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 137 TELECOMMUNICATIONS: MARKET, BY USE CASE, 2023–2030 (USD MILLION)
                    8.12.2.1 Digital Marketing
                    8.12.2.2 Sales Intelligence
                    8.12.2.3 Data Visualization
                    8.12.2.4 Customer Experience
                    8.12.2.5 Application Development & API Integration
                    8.12.2.6 General Search & Insight Generation
                    8.12.2.7 Media Editing
                    8.12.2.8 Synthetic Data Training
                    8.12.2.9 Predictive Maintenance
                               8.12.2.10 Fraud Detection/Risk Management
    8.13 OTHER VERTICALS 
           8.13.1 OTHER VERTICALS: USE CASES
                    TABLE 138 OTHER VERTICALS: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 139 OTHER VERTICALS: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    TABLE 140 OTHER VERTICALS: MARKET, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 141 OTHER VERTICALS: MARKET, BY USE CASE, 2023–2030 (USD MILLION)
 
9 GENERATIVE AI MARKET, BY REGION (Page No. - 258)
    9.1 INTRODUCTION 
           FIGURE 58 ASIA PACIFIC MARKET TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
           FIGURE 59 INDIA TO REGISTER HIGHEST CAGR IN MARKET DURING FORECAST PERIOD
           TABLE 142 MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 143 MARKET, BY REGION, 2023–2030 (USD MILLION)
    9.2 NORTH AMERICA 
           9.2.1 NORTH AMERICA: MARKET DRIVERS
           9.2.2 NORTH AMERICA: RECESSION IMPACT
                    FIGURE 60 NORTH AMERICA: MARKET SNAPSHOT
                    TABLE 144 NORTH AMERICA: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                    TABLE 145 NORTH AMERICA: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
                    TABLE 146 NORTH AMERICA: MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
                    TABLE 147 NORTH AMERICA: MARKET, BY SOFTWARE, 2023–2030 (USD MILLION)
                    TABLE 148 NORTH AMERICA: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
                    TABLE 149 NORTH AMERICA: MARKET, BY SERVICE, 2023–2030 (USD MILLION)
                    TABLE 150 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
                    TABLE 151 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2030 (USD MILLION)
                    TABLE 152 NORTH AMERICA: MARKET, APPLICATION BY BUSINESS FUNCTION, 2019–2022 (USD MILLION)
                    TABLE 153 NORTH AMERICA: MARKET, APPLICATION BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
                    TABLE 154 NORTH AMERICA: MARKET, APPLICATION BY DATA MODALITY, 2019–2022 (USD MILLION)
                    TABLE 155 NORTH AMERICA: MARKET, APPLICATION BY DATA MODALITY, 2023–2030 (USD MILLION)
                    TABLE 156 NORTH AMERICA: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
                    TABLE 157 NORTH AMERICA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
                    TABLE 158 NORTH AMERICA: MARKET, VERTICAL, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 159 NORTH AMERICA: GENERATIVE AI MARKET, VERTICAL, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 160 NORTH AMERICA: MARKET, MEDIA & ENTERTAINMENT, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 161 NORTH AMERICA: MARKET, MEDIA & ENTERTAINMENT, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 162 NORTH AMERICA: MARKET, BFSI, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 163 NORTH AMERICA: MARKET, BFSI, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 164 NORTH AMERICA: MARKET, HEALTHCARE & LIFE SCIENCE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 165 NORTH AMERICA: MARKET, HEALTHCARE & LIFE SCIENCE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 166 NORTH AMERICA: MARKET, MANUFACTURING, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 167 NORTH AMERICA: MARKET, MANUFACTURING, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 168 NORTH AMERICA: MARKET, RETAIL & ECOMMERCE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 169 NORTH AMERICA: MARKET, RETAIL & ECOMMERCE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 170 NORTH AMERICA: MARKET, TRANSPORTATION & LOGISTICS, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 171 NORTH AMERICA: MARKET, TRANSPORTATION & LOGISTICS, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 172 NORTH AMERICA: GENERATIVE AI MARKET, CONSTRUCTION & REAL ESTATE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 173 NORTH AMERICA: MARKET, CONSTRUCTION & REAL ESTATE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 174 NORTH AMERICA: MARKET, ENERGY & UTILITIES, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 175 NORTH AMERICA: MARKET, ENERGY & UTILITIES, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 176 NORTH AMERICA: MARKET, GOVERNMENT & DEFENSE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 177 NORTH AMERICA: MARKET, GOVERNMENT & DEFENSE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 178 NORTH AMERICA: MARKET, IT & ITES, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 179 NORTH AMERICA: MARKET, IT & ITES, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 180 NORTH AMERICA: MARKET, TELECOMMUNICATIONS, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 181 NORTH AMERICA: MARKET, TELECOMMUNICATIONS, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 182 NORTH AMERICA: MARKET, OTHERS, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 183 NORTH AMERICA: MARKET, OTHERS, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 184 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                    TABLE 185 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2030 (USD MILLION)
           9.2.3 US
                    9.2.3.1 Rising demand for generative AI majorly contributing to US revenue
                               TABLE 186 US: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 187 US: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.2.4 CANADA
                    9.2.4.1 Growing adoption of generative AI solutions by enterprises
                               TABLE 188 CANADA: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 189 CANADA: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
    9.3 EUROPE 
           9.3.1 EUROPE: MARKET DRIVERS
           9.3.2 EUROPE: RECESSION IMPACT
                    TABLE 190 EUROPE: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                    TABLE 191 EUROPE: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
                    TABLE 192 EUROPE: MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
                    TABLE 193 EUROPE: MARKET, BY SOFTWARE, 2023–2030 (USD MILLION)
                    TABLE 194 EUROPE: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
                    TABLE 195 EUROPE: MARKET, BY SERVICE, 2023–2030 (USD MILLION)
                    TABLE 196 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
                    TABLE 197 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2023–2030 (USD MILLION)
                    TABLE 198 EUROPE: MARKET, APPLICATION BY BUSINESS FUNCTION, 2019–2022 (USD MILLION)
                    TABLE 199 EUROPE: MARKET, APPLICATION BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
                    TABLE 200 EUROPE: MARKET, APPLICATION BY DATA MODALITY, 2019–2022 (USD MILLION)
                    TABLE 201 EUROPE: GENERATIVE AI MARKET, APPLICATION BY DATA MODALITY, 2023–2030 (USD MILLION)
                    TABLE 202 EUROPE: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
                    TABLE 203 EUROPE: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
                    TABLE 204 EUROPE: MARKET, VERTICAL, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 205 EUROPE: MARKET, VERTICAL, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 206 EUROPE: MARKET, MEDIA & ENTERTAINMENT, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 207 EUROPE: MARKET, MEDIA & ENTERTAINMENT, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 208 EUROPE: MARKET, BFSI, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 209 EUROPE: MARKET, BFSI, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 210 EUROPE: MARKET, HEALTHCARE & LIFE SCIENCE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 211 EUROPE: MARKET, HEALTHCARE & LIFE SCIENCE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 212 EUROPE: MARKET, MANUFACTURING, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 213 EUROPE: MARKET, MANUFACTURING, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 214 EUROPE: MARKET, RETAIL & ECOMMERCE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 215 EUROPE: MARKET, RETAIL & ECOMMERCE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 216 EUROPE: MARKET, TRANSPORTATION & LOGISTICS, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 217 EUROPE: MARKET, TRANSPORTATION & LOGISTICS, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 218 EUROPE: GENERATIVE AI MARKET, CONSTRUCTION & REAL ESTATE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 219 EUROPE: MARKET, CONSTRUCTION & REAL ESTATE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 220 EUROPE: MARKET, ENERGY & UTILITIES, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 221 EUROPE: MARKET, ENERGY & UTILITIES, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 222 EUROPE: MARKET, GOVERNMENT & DEFENSE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 223 EUROPE: MARKET, GOVERNMENT & DEFENSE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 224 EUROPE: MARKET, IT & ITES, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 225 EUROPE: MARKET, IT & ITES, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 226 EUROPE: MARKET, TELECOMMUNICATIONS, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 227 EUROPE: MARKET, TELECOMMUNICATIONS, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 228 EUROPE: MARKET, OTHERS, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 229 EUROPE: MARKET, OTHERS, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 230 EUROPE: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                    TABLE 231 EUROPE: MARKET, BY COUNTRY, 2023–2030 (USD MILLION)
           9.3.3 UK
                    9.3.3.1 UK government creating code of practice for generative AI companies
                               TABLE 232 UK: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 233 UK: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.3.4 GERMANY
                    9.3.4.1 German government ready to become technology’s global leader by galvanizing artificial intelligence research, development, and application
                               TABLE 234 GERMANY: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 235 GERMANY: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.3.5 FRANCE
                    9.3.5.1 Increasing research and educational excellence to drive LLM market demand for AI-enabled technologies
                               TABLE 236 FRANCE: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 237 FRANCE: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.3.6 ITALY
                    9.3.6.1 Italian researchers built deep learning model that can perform source separation and music generation
                               TABLE 238 ITALY: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 239 ITALY: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.3.7 SPAIN
                    9.3.7.1 Spain to usher new oppportunities in Large Language Model market with Spanish-focused LLMs
                               TABLE 240 SPAIN: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 241 SPAIN: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.3.8 FINLAND
                    9.3.8.1 Finland to integrate generative AI applications into teaching
                               TABLE 242 FINLAND: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 243 FINLAND: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
                               9.3.8.1.1 Rest of Europe
                               TABLE 244 REST OF EUROPE: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 245 REST OF EUROPE: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
    9.4 ASIA PACIFIC 
           9.4.1 ASIA PACIFIC: MARKET DRIVERS
           9.4.2 ASIA PACIFIC: RECESSION IMPACT
                    FIGURE 61 ASIA PACIFIC: GENERATIVE AI MARKET SNAPSHOT
                    TABLE 246 ASIA PACIFIC: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                    TABLE 247 ASIA PACIFIC: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
                    TABLE 248 ASIA PACIFIC: MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
                    TABLE 249 ASIA PACIFIC: MARKET, BY SOFTWARE, 2023–2030 (USD MILLION)
                    TABLE 250 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
                    TABLE 251 ASIA PACIFIC: MARKET, BY SERVICE, 2023–2030 (USD MILLION)
                               TABLE 252 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
                    TABLE 253 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2023–2030 (USD MILLION)
                    TABLE 254 ASIA PACIFIC: MARKET, APPLICATION BY BUSINESS FUNCTION, 2019–2022 (USD MILLION)
                    TABLE 255 ASIA PACIFIC: MARKET, APPLICATION BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
                    TABLE 256 ASIA PACIFIC: MARKET, APPLICATION BY DATA MODALITY, 2019–2022 (USD MILLION)
                    TABLE 257 ASIA PACIFIC: MARKET, APPLICATION BY DATA MODALITY, 2023–2030 (USD MILLION)
                    TABLE 258 ASIA PACIFIC: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
                    TABLE 259 ASIA PACIFIC: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
                    TABLE 260 ASIA PACIFIC: GENERATIVE AI MARKET, VERTICAL, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 261 ASIA PACIFIC: MARKET, VERTICAL, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 262 ASIA PACIFIC: MARKET, MEDIA & ENTERTAINMENT, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 263 ASIA PACIFIC: MARKET, MEDIA & ENTERTAINMENT, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 264 ASIA PACIFIC: MARKET, BFSI, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 265 ASIA PACIFIC: MARKET, BFSI, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 266 ASIA PACIFIC: MARKET, HEALTHCARE & LIFE SCIENCE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 267 ASIA PACIFIC: MARKET, HEALTHCARE & LIFE SCIENCE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 268 ASIA PACIFIC: MARKET, MANUFACTURING, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 269 ASIA PACIFIC: MARKET, MANUFACTURING, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 270 ASIA PACIFIC: MARKET, RETAIL & ECOMMERCE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 271 ASIA PACIFIC: MARKET, RETAIL & ECOMMERCE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 272 ASIA PACIFIC: MARKET, TRANSPORTATION & LOGISTICS, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 273 ASIA PACIFIC: MARKET, TRANSPORTATION & LOGISTICS, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 274 ASIA PACIFIC: GENERATIVE AI MARKET, CONSTRUCTION & REAL ESTATE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 275 ASIA PACIFIC: MARKET, CONSTRUCTION & REAL ESTATE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 276 ASIA PACIFIC: MARKET, ENERGY & UTILITIES, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 277 ASIA PACIFIC: MARKET, ENERGY & UTILITIES, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 278 ASIA PACIFIC: MARKET, GOVERNMENT & DEFENSE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 279 ASIA PACIFIC: MARKET, GOVERNMENT & DEFENSE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 280 ASIA PACIFIC: MARKET, IT & ITES, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 281 ASIA PACIFIC: MARKET, IT & ITES, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 282 ASIA PACIFIC: MARKET, TELECOMMUNICATIONS, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 283 ASIA PACIFIC: MARKET, TELECOMMUNICATIONS, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 284 ASIA PACIFIC: MARKET, OTHERS, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 285 ASIA PACIFIC: MARKET, OTHERS, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 286 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                    TABLE 287 ASIA PACIFIC: MARKET, BY COUNTRY, 2023–2030 (USD MILLION)
           9.4.3 CHINA
                    9.4.3.1 Generative AI technology to be transformative for China’s technology sector
                               TABLE 288 CHINA: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 289 CHINA: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.4.4 INDIA
                    9.4.4.1 Launch of Lexi marks major landmark in generative AI development
                               TABLE 290 INDIA: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 291 INDIA: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.4.5 JAPAN
                    9.4.5.1 Tokyo-1 to accelerate Japan’s pharma industry
                               TABLE 292 JAPAN: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 293 JAPAN: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.4.6 SOUTH KOREA
                    9.4.6.1 South Korea to be key player in fulfilling new global demand for next-generation AI chips
                               TABLE 294 SOUTH KOREA: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 295 SOUTH KOREA: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.4.7 SINGAPORE
                    9.4.7.1 Singapore making progress in advancement of generative AI
                               TABLE 296 SINGAPORE: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 297 SINGAPORE: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.4.8 AUSTRALIA & NEW ZEALAND
                    9.4.8.1 Australia & New Zealand to explore AI’s potential more broadly
                               TABLE 298 AUSTRALIA & NEW ZEALAND: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 299 AUSTRALIA & NEW ZEALAND: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.4.9 REST OF ASIA PACIFIC
                    TABLE 300 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                    TABLE 301 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
    9.5 MIDDLE EAST & AFRICA 
           9.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
           9.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
                    TABLE 302 MIDDLE EAST & AFRICA: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                    TABLE 303 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
                    TABLE 304 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
                    TABLE 305 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE, 2023–2030 (USD MILLION)
                    TABLE 306 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
                    TABLE 307 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2023–2030 (USD MILLION)
                    TABLE 308 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
                    TABLE 309 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2030 (USD MILLION)
                    TABLE 310 MIDDLE EAST & AFRICA: MARKET, APPLICATION BY BUSINESS FUNCTION, 2019–2022 (USD MILLION)
                    TABLE 311 MIDDLE EAST & AFRICA: MARKET, APPLICATION BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
                    TABLE 312 MIDDLE EAST & AFRICA: MARKET, APPLICATION BY DATA MODALITY, 2019–2022 (USD MILLION)
                    TABLE 313 MIDDLE EAST & AFRICA: MARKET, APPLICATION BY DATA MODALITY, 2023–2030 (USD MILLION)
                    TABLE 314 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
                    TABLE 315 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
                    TABLE 316 MIDDLE EAST & AFRICA: MARKET, VERTICAL, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 317 MIDDLE EAST & AFRICA: MARKET, VERTICAL, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 318 MIDDLE EAST & AFRICA: MARKET, MEDIA & ENTERTAINMENT, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 319 MIDDLE EAST & AFRICA: MARKET, MEDIA & ENTERTAINMENT, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 320 MIDDLE EAST & AFRICA: MARKET, BFSI, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 321 MIDDLE EAST & AFRICA: MARKET, BFSI, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 322 MIDDLE EAST & AFRICA: MARKET, HEALTHCARE & LIFE SCIENCE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 323 MIDDLE EAST & AFRICA: MARKET, HEALTHCARE & LIFE SCIENCE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 324 MIDDLE EAST & AFRICA: GENERATIVE AI MARKET, MANUFACTURING, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 325 MIDDLE EAST & AFRICA: MARKET, MANUFACTURING, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 326 MIDDLE EAST & AFRICA: MARKET, RETAIL & ECOMMERCE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 327 MIDDLE EAST & AFRICA: MARKET, RETAIL & ECOMMERCE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 328 MIDDLE EAST & AFRICA: MARKET, TRANSPORTATION & LOGISTICS, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 329 MIDDLE EAST & AFRICA: MARKET, TRANSPORTATION & LOGISTICS, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 330 MIDDLE EAST & AFRICA: MARKET, CONSTRUCTION & REAL ESTATE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 331 MIDDLE EAST & AFRICA: MARKET, CONSTRUCTION & REAL ESTATE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 332 MIDDLE EAST & AFRICA: MARKET, ENERGY & UTILITIES, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 333 MIDDLE EAST & AFRICA: MARKET, ENERGY & UTILITIES, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 334 MIDDLE EAST & AFRICA: MARKET, GOVERNMENT & DEFENSE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 335 MIDDLE EAST & AFRICA: MARKET, GOVERNMENT & DEFENSE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 336 MIDDLE EAST & AFRICA: MARKET, IT & ITES, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 337 MIDDLE EAST & AFRICA: MARKET, IT & ITES, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 338 MIDDLE EAST & AFRICA: MARKET, TELECOMMUNICATIONS, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 339 MIDDLE EAST & AFRICA: MARKET, TELECOMMUNICATIONS, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 340 MIDDLE EAST & AFRICA: MARKET, OTHERS, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 341 MIDDLE EAST & AFRICA: MARKET, OTHERS, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 342 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                    TABLE 343 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2023–2030 (USD MILLION)
           9.5.3 SAUDI ARABIA
                    9.5.3.1 Major investments by tech giants to bring AI revolution
                               TABLE 344 SAUDI ARABIA: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 345 SAUDI ARABIA: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.5.4 UAE
                    9.5.4.1 Adoption of trailblazing technologies for advanced education system to boost market
                               TABLE 346 UAE: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 347 UAE: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.5.5 SOUTH AFRICA
                    9.5.5.1 Healthcare vertical to initiate developments in generative AI space
                               TABLE 348 SOUTH AFRICA: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 349 SOUTH AFRICA: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.5.6 ISRAEL
                    9.5.6.1 Strong cluster of generative AI startups to lead to market growth
                               TABLE 350 ISRAEL: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 351 ISRAEL: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.5.7 REST OF MIDDLE EAST & AFRICA
                    TABLE 352 REST OF MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                    TABLE 353 REST OF MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
    9.6 LATIN AMERICA 
           9.6.1 LATIN AMERICA: MARKET DRIVERS
           9.6.2 LATIN AMERICA: RECESSION IMPACT
                    TABLE 354 LATIN AMERICA: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                    TABLE 355 LATIN AMERICA: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
                    TABLE 356 LATIN AMERICA: MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
                    TABLE 357 LATIN AMERICA: MARKET, BY SOFTWARE, 2023–2030 (USD MILLION)
                    TABLE 358 LATIN AMERICA: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
                    TABLE 359 LATIN AMERICA: MARKET, BY SERVICE, 2023–2030 (USD MILLION)
                    TABLE 360 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
                    TABLE 361 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2030 (USD MILLION)
                    TABLE 362 LATIN AMERICA: MARKET, APPLICATION BY BUSINESS FUNCTION, 2019–2022 (USD MILLION)
                    TABLE 363 LATIN AMERICA: MARKET, APPLICATION BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
                    TABLE 364 LATIN AMERICA: MARKET, APPLICATION BY DATA MODALITY, 2019–2022 (USD MILLION)
                    TABLE 365 LATIN AMERICA: MARKET, APPLICATION BY DATA MODALITY, 2023–2030 (USD MILLION)
                    TABLE 366 LATIN AMERICA: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
                    TABLE 367 LATIN AMERICA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
                    TABLE 368 LATIN AMERICA: MARKET, VERTICAL, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 369 LATIN AMERICA: MARKET, VERTICAL, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 370 LATIN AMERICA: GENERATIVE AI MARKET, MEDIA & ENTERTAINMENT, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 371 LATIN AMERICA: MARKET, MEDIA & ENTERTAINMENT, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 372 LATIN AMERICA: MARKET, BFSI, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 373 LATIN AMERICA: MARKET, BFSI, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 374 LATIN AMERICA: MARKET, HEALTHCARE & LIFE SCIENCE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 375 LATIN AMERICA: MARKET, HEALTHCARE & LIFE SCIENCE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 376 LATIN AMERICA: MARKET, MANUFACTURING, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 377 LATIN AMERICA: MARKET, MANUFACTURING, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 378 LATIN AMERICA: MARKET, RETAIL & ECOMMERCE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 379 LATIN AMERICA: MARKET, RETAIL & ECOMMERCE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 380 LATIN AMERICA: MARKET, TRANSPORTATION & LOGISTICS, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 381 LATIN AMERICA: MARKET, TRANSPORTATION & LOGISTICS, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 382 LATIN AMERICA: MARKET, CONSTRUCTION & REAL ESTATE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 383 LATIN AMERICA: MARKET, CONSTRUCTION & REAL ESTATE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 384 LATIN AMERICA: MARKET, ENERGY & UTILITIES, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 385 LATIN AMERICA: MARKET, ENERGY & UTILITIES, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 386 LATIN AMERICA: MARKET, GOVERNMENT & DEFENSE, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 387 LATIN AMERICA: GENERATIVE AI MARKET, GOVERNMENT & DEFENSE, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 388 LATIN AMERICA: MARKET, IT & ITES, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 389 LATIN AMERICA: MARKET, IT & ITES, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 390 LATIN AMERICA: MARKET, TELECOMMUNICATIONS, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 391 LATIN AMERICA: MARKET, TELECOMMUNICATIONS, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 392 LATIN AMERICA: MARKET, OTHERS, BY USE CASE, 2019–2022 (USD MILLION)
                    TABLE 393 LATIN AMERICA: MARKET, OTHERS, BY USE CASE, 2023–2030 (USD MILLION)
                    TABLE 394 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                    TABLE 395 LATIN AMERICA: MARKET, BY COUNTRY, 2023–2030 (USD MILLION)
           9.6.3 BRAZIL
                    9.6.3.1 Establishment of cloud region to propel market
                               TABLE 396 BRAZIL: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 397 BRAZIL: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.6.4 MEXICO
                    9.6.4.1 Use of ChatGPT by Mexican Bank Banorte to create Large Language Model market growth opportunities
                               TABLE 398 MEXICO: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 399 MEXICO: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.6.5 ARGENTINA
                    9.6.5.1 Inflation to affect market
                               TABLE 400 ARGENTINA: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                               TABLE 401 ARGENTINA: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
           9.6.6 REST OF LATIN AMERICA
                    TABLE 402 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                    TABLE 403 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
 
10 COMPETITIVE LANDSCAPE (Page No. - 407)
     10.1 OVERVIEW 
     10.2 KEY STRATEGIES ADOPTED BY MAJOR PLAYERS 
               TABLE 404 OVERVIEW OF STRATEGIES ADOPTED BY KEY GENERATIVE AI VENDORS
     10.3 REVENUE ANALYSIS 
             10.3.1 HISTORIC BUSINESS SEGMENT REVENUE ANALYSIS
                       FIGURE 62 HISTORIC BUSINESS SEGMENT REVENUE ANALYSIS FOR PROMINENT PUBLIC COMPANIES, 2018 – 2022 (USD MILLION)
     10.4 MARKET SHARE ANALYSIS 
               FIGURE 63 MARKET SHARE ANALYSIS FOR KEY COMPANIES IN 2022
               TABLE 405 MARKET: DEGREE OF COMPETITION
     10.5 BRAND/PRODUCT COMPARATIVE ANALYSIS 
               FIGURE 64 GENERATIVE AI: TOP TRENDING BRAND/PRODUCTS
             10.5.1 BRAND/PRODUCT COMPARATIVE ANALYSIS, BY TEXT GENERATORS
               FIGURE 65 BRAND/PRODUCT COMPARATIVE ANALYSIS, BY TEXT GENERATORS
                       10.5.1.1 CHATGPT
                       10.5.1.2 BING
                       10.5.1.3 BARD
                       10.5.1.4 YOUCHAT
                       10.5.1.5 CHARACTER.AI
             10.5.2 BRAND/PRODUCT COMPARATIVE ANALYSIS, BY IMAGE GENERATORS
                       FIGURE 66 BRAND/PRODUCT COMPARATIVE ANALYSIS, BY IMAGE GENERATORS
                       10.5.2.1 DALL-E
                       10.5.2.2 CRAIYON
                       10.5.2.3 MIDJOURNEY
                       10.5.2.4 STABLE DIFFUSION
                       10.5.2.5 NIGHTCAFE
             10.5.3 BRAND/PRODUCT COMPARATIVE ANALYSIS, BY VIDEO GENERATORS
                       FIGURE 67 BRAND/PRODUCT COMPARATIVE ANALYSIS, BY VIDEO GENERATORS
                       10.5.3.1 SYNTHESIA
                       10.5.3.2 LUMEN5
                       10.5.3.3 ELAI
                       10.5.3.4 FLEXCLIP
                       10.5.3.5 VEED.IO
             10.5.4 BRAND/PRODUCT COMPARATIVE ANALYSIS, BY CODE GENERATORS
                       FIGURE 68 BRAND/PRODUCT COMPARATIVE ANALYSIS, BY CODE GENERATORS
                       10.5.4.1 CODEX
                       10.5.4.2 PYCHARM
                       10.5.4.3 TABNINE
                       10.5.4.4 CODOTA
                       10.5.4.5 SOURCEAI
             10.5.5 BRAND/PRODUCT COMPARATIVE ANALYSIS, BY AUDIO GENERATORS
                       FIGURE 69 BRAND/PRODUCT COMPARATIVE ANALYSIS, BY AUDIO GENERATORS
                       10.5.5.1 SPEECHIFY
                       10.5.5.2 PLAYHT
                       10.5.5.3 MURF
                       10.5.5.4 AIVA
                       10.5.5.5 OPENAI JUKEBOX
             10.5.6 OTHER TRENDING GENERATIVE AI BRAND/PRODUCTS
                       10.5.6.1 VUE.AI
                       10.5.6.2 SYTE
                       10.5.6.3 ARTOMATIX
                       10.5.6.4 CLARA.IO
                       10.5.6.5 MATTERPORT
     10.6 COMPANY EVALUATION MATRIX 
             10.6.1 STARS
             10.6.2 EMERGING LEADERS
             10.6.3 PERVASIVE PLAYERS
             10.6.4 PARTICIPANTS
                       FIGURE 70 GLOBAL MARKET COMPANY EVALUATION MATRIX, 2022
             10.6.5 COMPANY FOOTPRINT
                       TABLE 406 GENERATIVE AI MARKET: COMPANY FOOTPRINT ANALYSIS OF KEY PLAYERS, 2023
                       TABLE 407 MARKET: COMPANY FOOTPRINT ANALYSIS OF OTHER KEY PLAYERS, 2023
     10.7 STARTUP/SME EVALUATION MATRIX 
             10.7.1 PROGRESSIVE COMPANIES
             10.7.2 RESPONSIVE COMPANIES
             10.7.3 DYNAMIC COMPANIES
             10.7.4 STARTING BLOCKS
                       FIGURE 71 GLOBAL MARKET START-UP/SME EVALUATION MATRIX, 2022
             10.7.5 COMPETITIVE BENCHMARKING
                       TABLE 408 MARKET: DETAILED LIST OF KEY STARTUPS/SMES
                       TABLE 409 GENERATIVE AI MARKET: OVERALL FOOTPRINT ANALYSIS OF STARTUP/SMES, 2023
     10.8 VALUATION AND FINANCIAL METRICS OF KEY GENERATIVE AI VENDORS 
               FIGURE 72 EV/EBITDA OF KEY VENDORS
               FIGURE 73 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
     10.9 COMPETITIVE SCENARIO AND TRENDS 
             10.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 410 PRODUCT LAUNCHES AND ENHANCEMENTS, 2021–2023
             10.9.2 DEALS
                       TABLE 411 DEALS, 2021–2023
 
11 COMPANY PROFILES (Page No. - 449)
     11.1 INTRODUCTION 
     11.2 KEY PLAYERS 
(Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View)*
             11.2.1 MICROSOFT
                       TABLE 412 MICROSOFT: COMPANY OVERVIEW
                       FIGURE 74 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 413 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 414 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 415 MICROSOFT: DEALS
             11.2.2 AWS
                       TABLE 416 AWS: COMPANY OVERVIEW
                       FIGURE 75 AWS: COMPANY SNAPSHOT
                       TABLE 417 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 418 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 419 AWS: DEALS
             11.2.3 GOOGLE
                       TABLE 420 GOOGLE: COMPANY OVERVIEW
                       FIGURE 76 GOOGLE: COMPANY SNAPSHOT
                       TABLE 421 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 422 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 423 GOOGLE: DEALS
             11.2.4 ADOBE
                       TABLE 424 ADOBE: COMPANY OVERVIEW
                       FIGURE 77 ADOBE: COMPANY SNAPSHOT
                       TABLE 425 ADOBE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 426 ADOBE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 427 ADOBE: DEALS
             11.2.5 IBM
                       TABLE 428 IBM: COMPANY OVERVIEW
                       FIGURE 78 IBM: COMPANY SNAPSHOT
                       TABLE 429 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 430 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 431 IBM: DEALS
             11.2.6 OPENAI
                       TABLE 432 OPENAI: COMPANY OVERVIEW
                       TABLE 433 OPENAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 434 OPENAI: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 435 OPENAI: DEALS
             11.2.7 META
                       TABLE 436 META: COMPANY OVERVIEW
                       FIGURE 79 META: COMPANY SNAPSHOT
                       TABLE 437 META: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 438 META: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 439 META: DEALS
             11.2.8 INSILICO MEDICINE
                       TABLE 440 INSILICO MEDICINE: COMPANY OVERVIEW
                       TABLE 441 INSILICO MEDICINE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 442 INSILICO MEDICINE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 443 INSILICO MEDICINE: DEALS
             11.2.9 SIMPLIFIED
             11.2.10 GENIE AI
             11.2.11 LIGHTRICKS
             11.2.12 LUMEN5
             11.2.13 GIPHY
             11.2.14 DIALPAD
             11.2.15 PERSADO
             11.2.16 CODACY
     11.3 STARTUP/SME PROFILES 
             11.3.1 PAIGE.AI
             11.3.2 RIFFUSION
             11.3.3 PLAYHT
             11.3.4 SPEECHIFY
             11.3.5 MEDIA.IO
             11.3.6 MIDJOURNEY
             11.3.7 FIREFLIES
             11.3.8 BRANDMARK.IO
             11.3.9 MORPHIS TECHNOLOGIES
             11.3.10 SYNTHESIA
             11.3.11 MOSTLY AI
             11.3.12 VEESUAL
             11.3.13 GALILEO AI
             11.3.14 FORMULA BOT
             11.3.15 JETBRAINS
             11.3.16 CHARACTER.AI
             11.3.17 HYPOTENUSE AI
             11.3.18 VIABLE
             11.3.19 DEFOG.AI
             11.3.20 ZETA ALPHA
             11.3.21 DEEPSEARCH LABS
             11.3.22 WRITESONIC
             11.3.23 AMBERSEARCH
             11.3.24 FLOWORKS
             11.3.25 INVENTIVE AI
             11.3.26 SONNET
             11.3.27 FLAIR LABS
             11.3.28 GLOO
             11.3.29 OLLI.AI
             11.3.30 HIGHTIME AI
             11.3.31 DEEPAI
     11.4 OPEN-SOURCE COMPANIES 
             11.4.1 GFP-GAN
             11.4.2 FONTJOY
             11.4.3 ELEUTHERAI
             11.4.4 STARRYAI
             11.4.5 MAGIC STUDIO
*Details on Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View might not be captured in case of unlisted companies.
 
12 ADJACENT AND RELATED MARKETS (Page No. - 515)
     12.1 CONVERSATIONAL AI MARKET 
             12.1.1 MARKET DEFINITION
             12.1.2 MARKET OVERVIEW
                       12.1.2.1 Conversational AI market, by component
                                   TABLE 444 CONVERSATIONAL AI MARKET, BY COMPONENT, 2016–2020 (USD MILLION)
                                   TABLE 445 CONVERSATIONAL AI MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
                                   TABLE 446 CONVERSATIONAL AI MARKET, BY SERVICE, 2016–2020 (USD MILLION)
                                   TABLE 447 CONVERSATIONAL AI MARKET, BY SERVICE, 2021–2026 (USD MILLION)
                       12.1.2.2 Conversational AI market, by type
                                   TABLE 448 CONVERSATIONAL AI MARKET, BY TYPE, 2016–2020 (USD MILLION)
                                   TABLE 449 CONVERSATIONAL AI MARKET, BY TYPE, 2021–2026 (USD MILLION)
                       12.1.2.3 Conversational AI market, by deployment mode
                                   TABLE 450 CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2016–2020 (USD MILLION)
                                   TABLE 451 CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
                       12.1.2.4 Conversational AI market, by organization size
                                   TABLE 452 CONVERSATIONAL AI MARKET, BY ORGANIZATION SIZE, 2016–2020 (USD MILLION)
                                   TABLE 453 CONVERSATIONAL AI MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
                       12.1.2.5 Conversational AI market, by mode of integration
                                   TABLE 454 CONVERSATIONAL AI MARKET, BY MODE OF INTEGRATION, 2016–2020 (USD MILLION)
                                   TABLE 455 CONVERSATIONAL AI MARKET, BY MODE OF INTEGRATION, 2021–2026 (USD MILLION)
                       12.1.2.6 Conversational AI market, by technology
                                   TABLE 456 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2016–2020 (USD MILLION)
                                   TABLE 457 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2021–2026 (USD MILLION)
                       12.1.2.7 Conversational AI market, by business function
                                   TABLE 458 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2016–2020 (USD MILLION)
                                   TABLE 459 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2021–2026 (USD MILLION)
                       12.1.2.8 Conversational AI market, by vertical
                                   TABLE 460 CONVERSATIONAL AI MARKET, BY VERTICAL, 2016–2020 (USD MILLION)
                                   TABLE 461 CONVERSATIONAL AI MARKET, BY VERTICAL, 2021–2026 (USD MILLION)
                       12.1.2.9 Conversational AI market, by region
                                   TABLE 462 CONVERSATIONAL AI MARKET, BY REGION, 2016–2020 (USD MILLION)
                                   TABLE 463 CONVERSATIONAL AI MARKET, BY REGION, 2021–2026 (USD MILLION)
     12.2 CHATBOT MARKET 
             12.2.1 MARKET DEFINITION
             12.2.2 MARKET OVERVIEW
                       12.2.2.1 Chatbot market, by component
                                   TABLE 464 CHATBOT MARKET, BY COMPONENT, 2015–2019 (USD MILLION)
                                   TABLE 465 CHATBOT MARKET, BY COMPONENT, 2020–2026 (USD MILLION)
                                   TABLE 466 CHATBOT MARKET, BY SOLUTION, 2015–2019 (USD MILLION)
                                   TABLE 467 CHATBOT MARKET, BY SOLUTION, 2020–2026 (USD MILLION)
                                   TABLE 468 CHATBOT MARKET, BY SERVICE, 2015–2019 (USD MILLION)
                                   TABLE 469 CHATBOT MARKET, BY SERVICE, 2020–2026 (USD MILLION)
                                   TABLE 470 PROFESSIONAL SERVICES: CHATBOT MARKET, BY TYPE, 2015–2019 (USD MILLION)
                                   TABLE 471 PROFESSIONAL SERVICES: CHATBOT MARKET, BY TYPE, 2020–2026 (USD MILLION)
                       12.2.2.2 Chatbot market, by type
                                   TABLE 472 CHATBOT MARKET, BY TYPE, 2015–2019 (USD MILLION)
                                   TABLE 473 CHATBOT MARKET, BY TYPE, 2020–2026 (USD MILLION)
                       12.2.2.3 Chatbot market, by deployment mode
                                   TABLE 474 CHATBOT MARKET, BY DEPLOYMENT MODE, 2015–2019 (USD MILLION)
                                   TABLE 475 CHATBOT MARKET, BY DEPLOYMENT MODE, 2020–2026 (USD MILLION)
                       12.2.2.4 Chatbot market, by channel integration
                                   TABLE 476 CHATBOT MARKET, BY CHANNEL INTEGRATION, 2015–2019 (USD MILLION)
                                   TABLE 477 CHATBOT MARKET, BY CHANNEL INTEGRATION, 2020–2026 (USD MILLION)
                       12.2.2.5 Chatbot market, by organization size
                                   TABLE 478 CHATBOT MARKET, BY ORGANIZATION SIZE, 2015–2019 (USD MILLION)
                                   TABLE 479 CHATBOT MARKET, BY ORGANIZATION SIZE, 2020–2026 (USD MILLION)
                       12.2.2.6 Chatbot market, by business function
                                   TABLE 480 CHATBOT MARKET, BY BUSINESS FUNCTION, 2015–2019 (USD MILLION)
                                   TABLE 481 CHATBOT MARKET, BY BUSINESS FUNCTION, 2020–2026 (USD MILLION)
                       12.2.2.7 Chatbot market, by application
                                   TABLE 482 CHATBOT MARKET, BY APPLICATION, 2015–2019 (USD MILLION)
                                   TABLE 483 CHATBOT MARKET, BY APPLICATION, 2020–2026 (USD MILLION)
                       12.2.2.8 Chatbot market, by vertical
                                   TABLE 484 CHATBOT MARKET, BY VERTICAL, 2015–2019 (USD MILLION)
                                   TABLE 485 CHATBOT MARKET, BY VERTICAL, 2020–2026 (USD MILLION)
                       12.2.2.9 Chatbot market, by region
                                   TABLE 486 CHATBOT MARKET, BY REGION, 2015–2019 (USD MILLION)
                                   TABLE 487 CHATBOT MARKET, BY REGION, 2020–2026 (USD MILLION)
 
13 APPENDIX (Page No. - 533)
     13.1 DISCUSSION GUIDE 
     13.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     13.3 CUSTOMIZATION OPTIONS 
     13.4 RELATED REPORTS 
     13.5 AUTHOR DETAILS 

The Generative AI market research study involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly Interviews with Experts from the core and related industries, preferred generative AI providers, vendors operating in the Large Language Model market, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.

Secondary Research

In the secondary research process, various sources were referred to for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors’ websites. Additionally, LLM market and overall Generative AI market spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to solutions, services, deployment modes, business functions, applications, verticals, and regions, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various Interviews with Experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and generative AI expertise; related key executives from solution vendors in the generative AI market, companies in the LLM market space, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using generative AI solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of generative AI solutions and services, which would impact the LLM market and the overall generative AI market.

Generative AI Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

COMPANY NAME

DESIGNATION

SYNTHESIA

Senior Advisor

FormulaBot

CEO and Co-Founder

Speechify

Senior Data Scientist

Character.AI

Senior Technology Expert

Market Size Estimation

In the bottom-up approach, the adoption rate of generative AI solutions and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of generative AI solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

Based on the LLM market and Generative AI market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the Large Language Model market and broader generative AI market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major generative AI providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the generative AI market size and segments’ size were determined and confirmed using the study.

Global Generative AI Market Size: Bottom-Up and Top-Down Approach:

Generative AI Market Size, and Share

To know about the assumptions considered for the study, Request for Free Sample Report

Data Triangulation

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the LLM market and generative AI market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major generative AI providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the LLM market and overall generative AI market size and segments’ size were determined and confirmed using the study.

Market Definition

Generative AI pertains to unsupervised and semi-supervised machine learning algorithms that empower computers to utilize pre-existing materials like textual, auditory, and visual files, along with images and even code, for the purpose of crafting fresh and original content. This encompasses a range of outputs, including marketing emails, social media ads, legal agreements, and musical compositions. Generative AI grants computers the capability to distill fundamental patterns from input data, facilitating the machine learning model in the production of novel content.

Stakeholders

  • Generative Al vendors
  • Generative Al service vendors
  • Managed service providers
  • Support and maintenance service providers
  • System integrators (Sis)/migration service providers
  • Value-added resellers (VARs) and distributors
  • Independent software vendors (ISVS)
  • Third-party providers
  • Technology providers

Report Objectives

  • To define, describe, and predict the generative AI market by offering (solutions and services), application (by business function and by data modality), application, verticals (by use cases), and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the Large Language Model market and overall generative AI market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East and Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the LLM market and the broader generative AI market
  • To analyze the impact of recession across all the regions across the Large Language Model market and the overall generative AI market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product quadrant, which gives a detailed comparison of the product portfolio of each company.

Geographic Analysis

  • Further breakup of the North American generative AI market
  • Further breakup of the European market
  • Further breakup of the Asia Pacific market
  • Further breakup of the Middle Eastern & African market
  • Further breakup of the Latin America generative AI market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

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