Generative AI Market

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Generative AI Market by Offering (Software (Transformer Models (GPT-1, GPT-2, GPT-3, GPT-4, LaMDA)), Services), Application (Computer Vision, Synthetic Data Generation (Medical Imaging, Cybersecurity)), Vertical and Region - Global Forecast to 2028

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

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[385 Pages Report] The market for generative AI is anticipated to increase from USD 11.3 billion in 2023 to USD 51.8 billion by 2028, at a CAGR of 35.6% over the course of the forecast period. The generative AI market is expected to grow at a significant rate during the forecast period, owing to various business drivers. Some factors driving the growth of the generative AI market include evolution of AI and deep learning, rise in the era of content creation and creative applications and innovation of cloud storage enabling easy access to data.

Generative AI Market Technology Roadmap till 2030

The generative AI market report covers generative AI technology roadmap till 2030, with insights around initiation, development, and commercialization of technologies across text, code, images, and video/3D/gaming based generative AI. Some of the key findings from the technology roadmap include:

Generative AI Market Short term technology roadmap (2023-2025)

Technological improvements in language modeling
Improvements in generative adversarial networks (GANs)

Generative AI Market Mid-term technology roadmap (2026-2028)

Advances in meta-learning and few-shot learning techniques
Development of generative AI systems that can learn from multi-modal data

Generative AI Market Long term technology roadmap (2029-2030)

The emergence of fully autonomous generative AI systems
Increased use of generative AI in scientific research

Generative AI business models across use cases have also been included in the report.

Generative AI Market

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Generative AI Market

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Generative AI Market Dynamics

Driver: Innovation of cloud storage enabling easy access to data

The innovation of cloud storage has enabled easy access to otherwise locked data that wasn’t made available to the public. Before cloud storage became mainstream, accessing data was a costly affair for data scientists in need of data for research, but now governments, research institutes, businesses are unlocking data that were once confined to tape cartridges and magnetic disks. To train machine learning models used in generative AI, data scientists need enough data for precise accuracy and efficiency. With the easy availability of data, research facilities now could train ML models to solve complex problems with data available to them. One of the specific advantages and applications of generative AI is that it can levrage cloud storage to generate new data in a more time-efficient and cost-effective manner. This is useful for accomplishing tasks such as data organization, data processing, data augmentation, data synthesis, and data generation for unrepresented or underrepresented groups. Furthermore, it could help in analyzing data and understanding complex systems. Some of its notable applications include converting satellite images to map views to investigate new locations, transforming medical images into photo-realistic images, and generating marketing data based on collected data about the target market or consumer behaviors.

Restraints: Risk associated with data breaches and sensitive information leaks

Data security concerns while outsourcing generative AI projects have been marring the expansion of generative AI market. With data confidentiality regulations increasingly becoming stringent across the globe, data safety becomes even more paramount in generative tech projects. Unstructured data used for labeling includes personal data such as faces, vehicle license plates, and even sensitive medical information – which can cause serious data breaches if not appropriately secured.

Issues often arise when enterprises deal with outsourcing of generative AI projects, with many freelancers working on the data from multiple locations. Data security firm Trustwave estimates that nearly 63% of data thefts are caused by lack of due diligence while outsourcing data to third party service providers. Often, crowdsourcing based data training platforms do not lay stress on data security policies, and data annotators might access data through unsecure personal devices, download/transfer it to an unknown storage location, or work on data using public Wi-Fi networks where it can be easily stolen.

Opportunity: Acceleration in deployment of Large Language Models (LLMs)

Advances in Large Language Models, or “LLMs,” and other generative ML tooling are streamlining content creation. LLMs are complex neural networks that can generate text. They underpin systems like OpenAI’s GPT-3 (text) and Google’s LaMDA (conversational dialogue) and helped inspire OpenAI’s DALL-E and Midjourney (text-to-image). LLMs have been increasing an average of 10x per year in size and sophistication. The result: Modern AI can autonomously generate content—be it text, visual, audio, code, data, or multimedia—on par with human benchmarks.

Today, less than 1% of online content is generated using AI. Within the next ten years, it is predicted that at least 50% of online content will be generated by or augmented by AI.Generative AI and LLMs are the foundation of an important paradigm shift in content creation, communication, and knowledge generation. Just as cloud computing and smartphones transformed industries and created entirely new ones, so too will generative AI. In ten years, cloud computing grew from less than 5% of software spend to approximately 30%. Similarly, US smartphone penetration went from 1% to 55%. Generative AI has broad application across media and communications to software to life sciences and beyond. In many use cases, it is both lower cost and higher value, and it is estimated that adoption could be even faster.

Challenge: Complexity and technical challenges with generative AI

Generative AI is a technology that can become difficult to understand. A lot of people do not know how it works and how to use or implement it. This is counterproductive to its advantages and applications. A small business might refuse to implement it in its operation because it is a complex and unfamiliar technology. Free services such as ChatGPT and Dall-E have limitations. For example, during peak usage, ChatGPT tends to suffer from downtimes. Dall-E is also free, but a particular user can generate up to 50 free images in the first month and its usage will be limited further to 15 images per month. Paid services offer more guarantees and flexibility. However, because numerous AI companies and AI services have mushroomed since 2020, it is difficult to choose the most reliable ones or those that provide the best value for requirements. Implementing in-house Generative Ai capabilities has technical challenges because models can be computationally expensive and inefficient.

Generative AI market Ecosystem

Generative AI Market Size, and Share

Software segment to account for larger market size during forecast period

Generative AI software are currently used in various applications, including natural language processing, image generation, and generative design. As generative AI becomes more powerful through robust ML models, generative AI software are expected to play a significant role in various industries and sectors, including entertainment, fashion, and transportation. For instance, H&M uses generative AI software to create personalized clothing designs for customers based on their unique preferences and style.

Synthetic Data Generation to register highest CAGR during forecast period

The synthetic data generation segment is projected to witness a higher growth rate during the forecast period. The growth is due to the increasing demand for high-quality training data to build robust and accurate AI models. This technology helps organizations generate large volumes of diverse, labeled, and accurate synthetic data that can be used for a wide range of applications in various industries.

North America to have largest market size during forecast period

North America is expected to lead the generative AI market in 2023. The US is the largest market for generative AI in North America. The North American market for generative AI is being driven by several factors, including increasing demand for AI-generated content in industries such as media and entertainment, the growing use of AI in healthcare and other industries, and the availability of large amounts of data for training generative models.

In addition, North America has a strong ecosystem of startups and venture capitalists focused on AI, which is helping to drive innovation in the field. Many of the leading companies in the generative AI market are based in North America, including OpenAI, Nvidia, and Google.

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 upgradations, partnerships, and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. Some major players in the generative AI market include Microsoft (US), IBM (US), Google (US), AWS (US), META (US), Adobe (US), OpenAI (US), and Insilico Medicine (Hong Kong).

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Scope of the Report

Report Metrics	Details
Market size available for years	2019–2028
Base year considered	2022
Forecast period	2023–2028
Forecast units	USD (Billion)
Segments covered	Offering, Application, Vertical, and Region
Geographies covered	North America, Asia Pacific, Europe, the Middle East & Africa, and Latin America
Companies covered	Microsoft (US), IBM (US), Google (US), AWS (US), META (US), Adobe (US), OpenAI (US), Simplified (US), Insilico Medicine (Hong Kong), 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), Excel Formula Bot (Florida), JetBrains (Czech Republic), Character.AI (US), GFP-GAN (US), Fontjoy (Italy), Eleuther AI (US), Starry AI (US), and Magic Studio (US).

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

By Offering:

Software
Services

By Application:

Natural Language Processing (NLP)
- Automated content creation
- Product Description
- Marketing Copy
- Sentiment Analysis
- Language Translation
ML-based Predictive Modeling
- Predictive Analytics
- Personalized Recommendations
- Others
Computer Vision
- Object Recognition
- Image & Video Analysis
- Surveillance
Robotics and Automation
- Assembly Line Production
- Material Handling
- Other
Speech Recognition
- Speech-to-Text Conversion
- Call Center Automation
- Other
Music and Art Generation
- Automated Music Composition
- Visual Art
- Graphics Design
Education and Training
Finance and Accounting
- Fraud Detection and Risk Assessment
- Investment Analysis and Financial Forecasting
- Compliance Monitoring
Legal
- Contact Analysis and Review
- Legal Research and Analysis
- Automated Document Summarization
- Others
Customer Service and Support
- Chatbots
- Voice Assistants
- Automated Ticket Resolution
Augmentaed Reality (AR) and Virtual Reality (VR)
- Virtual Object Creation
- Virtual Environment Creation
- Personalized Avatar Creation
- Training and Simulation
Synthetic Data Generation
- Autonomous System Training
- Medical Imaging
- Cybersecurity
- Product Design
- Precision Agriculture
- Environmental Sustainibility
Video Editing/Generation
- Automated Video Editing
- Virtual Set Design
- Special Effects and Animation
3D Modeling and Reconstruction
- Image and Texture Synthesis
- 2D to 3D Model Generation
- 3D Model Simulations
Game Design and Character Production
- Procedural Content Generation
- Non-Player Character Generation

By Vertical:

Media and Entertainment
- Gaming
- Publishing Agencies
- Print and Electronic Media
- Others
Transportation and Logistics
- Air
- Road
- Rail
- Maritime
- Third Party Logistics (3PL)
Manufacturing
- Discrete Manufacturing
- Process Manufacturing
Healthcare and Life Sciences
- Healthcare Institutes
- Healthcare Device Manufacturing
- Pharmaceutical and Lifesciences
- Medical Research
IT and ITES
Construction and Real Estate
BFSI
- Banking
- Financial Services and Fintech
- Insurance
Energy and Utilities
- Oil and Gas
- Utilities
- Mining
Retail and Ecommerce
Government and Defense
- Public Sector
- Military and Defense
Other Verticals

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 and 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 March 2023, ChatGPT and Whisper models have been made available on API, giving developers access to cutting-edge language and speech-to-text capabilities.
In February 2023, Microsoft introduced new Microsoft Dynamics 365 "Copilot" artificial intelligence (AI) capabilities to help sales teams.
In February 2023, IBM and NASA's Marshall Space Flight Center announced a collaboration to use IBM's artificial intelligence (AI) technology to discover new insights in NASA's massive trove of Earth and geospatial science data.
In January 2023, Microsoft announced the general availability of Azure OpenAI Service as part of Microsoft’s continued commitment to democratizing AI, and ongoing partnership with OpenAI.

Frequently Asked Questions (FAQ):

What is generative AI?

Generative AI as a new type of AI that learns from data and creates new data based on what it learns. It's therefore capable of creating entirely new entities in many different forms, including text, images, audio, and video. Generative AI works by using deep learning to build models from a given set of training data.

What is the total CAGR expected to be recorded for the generative AI market during 2023-2028?

The market is expected to record a CAGR of 35.6% from 2023-2028.

Which are the key drivers supporting the growth of the generative AI market?

Some factors driving the growth of the generative AI market include the innovation of cloud storage enabling easy access to data, evolution of AI and deep learning and rise in the era of content creation and creative applications.

Which are the key technology trends prevailing in the generative AI market?

The three key technologies gaining foothold in the generative AI market are generative pre-trained transformers (GPTs), reinforcement learning, and natural language processing. It is also anticipated that meta-learning - which involves training a model to learn how to learn – will substantially improve the efficiency of generative AI systems by allowing them to learn from fewer data points.

Who are the key vendors in the generative AI market?

Some major players in the generative AI market include Microsoft (US), IBM (US), Google (US), AWS (US), META (US), Adobe (US), OpenAI (US), Simplified (US), Insilico Medicine (Hong Kong), 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), Excel Formula Bot (Florida), JetBrains (Czech Republic), Character.AI (US), GFP-GAN (US), Fontjoy (Italy), Eleuther AI (US), Starry AI (US), and Magic Studio (US).

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TABLE OF CONTENTS

1 INTRODUCTION (Page No. - 34)

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. - 39)

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 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 GENERATIVE AI 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 MARKET

3 EXECUTIVE SUMMARY (Page No. - 52)

TABLE 4 GLOBAL GENERATIVE AI MARKET SIZE AND GROWTH RATE, 2019–2022 (USD MILLION, Y-O-Y %)

TABLE 5 GLOBAL MARKET SIZE AND GROWTH RATE, 2023–2028 (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 NATURAL LANGUAGE GENERATION SEGMENT TO HOLD LARGEST MARKET SIZE IN 2023

FIGURE 12 MEDIA AND ENTERTAINMENT VERTICAL TO HOLD LARGEST MARKET SHARE IN 2023

FIGURE 13 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2023

4 PREMIUM INSIGHTS (Page No. - 58)

4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN GENERATIVE AI MARKET

FIGURE 14 INCREASING POPULARITY OF LARGE-LANGUAGE MODELS AND IMPROVING PERFORMANCE OF DEEP LEARNING MODELS TO DRIVE MARKET

4.2 MARKET: TOP THREE APPLICATIONS

FIGURE 15 SYNTHETIC DATA GENERATION SEGMENT TO WITNESS HIGHEST GROWTH RATE DURING FORECAST PERIOD

4.3 NORTH AMERICA: MARKET, BY OFFERING AND VERTICAL

FIGURE 16 SOFTWARE AND MEDIA AND ENTERTAINMENT TO BE LARGEST SHAREHOLDERS IN NORTH AMERICAN MARKET IN 2023

4.4 MARKET, BY REGION

FIGURE 17 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2023

5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 60)

5.1 INTRODUCTION

5.2 MARKET DYNAMICS

FIGURE 18 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 19 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 20 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 Increasing deployment of large language models

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

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 21 BRIEF HISTORY OF GENERATIVE AI

5.5.1 GENERATIVE AI ROADMAP UNTIL 2030

FIGURE 22 GENERATIVE AI ROADMAP UNTIL 2030

5.6 ECOSYSTEM ANALYSIS

FIGURE 23 GENERATIVE AI MARKET: ECOSYSTEM ANALYSIS

5.6.1 GENERATIVE AI TECHNOLOGY PROVIDERS

FIGURE 24 MARKET: MAPPING, BY CATEGORY

5.6.2 GENERATIVE AI CLOUD PLATFORM PROVIDERS

5.6.3 GENERATIVE AI API AND AS-A-SERVICE PROVIDERS

5.6.4 GENERATIVE AI HARDWARE PROVIDERS

5.6.5 GENERATIVE AI END USERS

5.6.6 GENERATIVE AI REGULATORS

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 25 INVESTOR DEALS AND FUNDING IN GENERATIVE AI SOARED IN 2022

FIGURE 26 MOST VALUED GENERATIVE AI FIRMS IN 2022 (USD BILLION)

FIGURE 27 DISTRIBUTION OF GENERATIVE AI FUNDING, 2021–2022

5.10 CASE STUDY ANALYSIS

5.10.1 CASE STUDY 1: SPECTRUMLABS DEPLOYED GALILEO FOR FASTER DEVELOPMENT OF NEWER LANGUAGE MODELS

5.10.2 CASE STUDY 2: BESTSELLER REDUCED 50% CLASSROOM TIME WITH AI VIDEOS

5.10.3 CASE STUDY 3: GALILEO HELPED INVOLVE.AI IMPROVE CUSTOMER INTELLIGENCE ML MODEL ACCURACY BY 10%

5.10.4 CASE STUDY 4: VODAFONE ITALY RAISED LEAD CONVERSIONS BY 42% BY DEVELOPING CREATIVE CAMPAIGNS THROUGH GENERATIVE AI

5.10.5 CASE STUDY 5: WPP TRAINED 50,000 EMPLOYEES WITH AI VIDEOS

5.10.6 CASE STUDY 6: SWISS RE BANKED ON LUMEN5 FOR SOCIAL ENGAGEMENT

5.10.7 CASE STUDY 7: TELEPERFORMANCE TRAINS GLOBAL WORKFORCE

5.10.8 CASE STUDY 8: YABBLE USED GPT-3 TO DELIVER FAST, NUANCED INSIGHTS FROM CUSTOMER FEEDBACK

5.10.9 CASE STUDY 9: CISCO SCALED VIDEO CONTENT LOCALIZATION USING LUMEN5

5.10.10 CASE STUDY 10: GPT-3 HELPED WAYMARK CONSISTENTLY PRODUCE STRONGER AND MORE RELEVANT SCRIPTS COMPARED TO HUMAN-GENERATED CONTENT

5.10.11 CASE STUDY 11: SIEMENS DIGITALIZED ITS COMMUNICATIONS WITH LUMEN5

5.11 SUPPLY CHAIN ANALYSIS

FIGURE 28 GENERATIVE AI MARKET: SUPPLY CHAIN ANALYSIS

TABLE 6 MARKET: SUPPLY CHAIN ANALYSIS

5.11.1 USE CASES, BY APPLICATION

5.12 REGULATORY LANDSCAPE

5.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS

TABLE 7 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS

TABLE 8 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS

TABLE 9 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS

TABLE 10 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS

TABLE 11 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS

5.12.2 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD

5.12.3 GRAMM-LEACH-BLILEY ACT

5.12.4 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT

5.12.5 GENERAL DATA PROTECTION REGULATION

5.12.6 PERSONAL INFORMATION PROTECTION AND ELECTRONIC DOCUMENTS ACT

5.12.7 INFORMATION SECURITY TECHNOLOGY - PERSONAL INFORMATION SECURITY SPECIFICATION GB/T 35273-2017

5.12.8 SECURE INDIA NATIONAL DIGITAL COMMUNICATIONS POLICY, 2018

5.12.9 GENERAL DATA PROTECTION LAW

5.12.10 LAW NO 13 OF 2016 ON PROTECTING PERSONAL DATA

5.12.11 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, 2019–2022

TABLE 12 PATENTS FILED, 2019–2022

5.13.3 INNOVATION AND PATENT APPLICATIONS

FIGURE 29 ANNUAL NUMBER OF PATENTS GRANTED, 2019–2022

5.13.4 TOP APPLICANTS

FIGURE 30 TOP 10 PATENT APPLICANTS, 2019–2022

5.14 KEY CONFERENCES AND EVENTS, 2023–2024

TABLE 13 GENERATIVE AI MARKET: DETAILED LIST OF CONFERENCES AND EVENTS

5.15 PRICING ANALYSIS

TABLE 14 AVERAGE SELLING PRICE ANALYSIS, BY OFFERING

5.16 PORTER’S FIVE FORCES ANALYSIS

TABLE 15 IMPACT OF EACH FORCE ON MARKET

FIGURE 31 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 32 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS

TABLE 16 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS

5.17.2 BUYING CRITERIA

FIGURE 33 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS

TABLE 17 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS

5.18 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS OF GENERATIVE AI MARKET

FIGURE 34 MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS

5.19 FUTURE OF GENERATIVE AI

5.19.1 ADVANCEMENTS IN TECHNIQUES AND METHODS

5.19.2 EMERGING APPLICATIONS AND INDUSTRIES

5.19.2.1 Business models across use cases

5.19.2.1.1 Generative AI Model-as-a-Service

5.19.2.1.2 Built-in-apps business model

5.19.2.1.3 Vertical integration business model

5.19.2.2 Generative tech's impact on web 3.0 and crypto

FIGURE 35 IMPACT OF GENERATIVE TECH ON WEB 3.0

6 GENERATIVE AI MARKET, BY OFFERING (Page No. - 119)

6.1 INTRODUCTION

6.1.1 OFFERING: MARKET DRIVERS

FIGURE 36 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD

TABLE 18 MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 19 MARKET, BY OFFERING, 2023–2028 (USD MILLION)

6.2 SOFTWARE

TABLE 20 SOFTWARE: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 21 SOFTWARE: MARKET, BY REGION, 2023–2028 (USD MILLION)

6.2.1 GENERATIVE AI SOFTWARE, BY GENERATIVE MODEL

FIGURE 37 DEEP LEARNING SUB-SEGMENT TO HOLD LARGEST SHARE OF MARKET FOR SOFTWARE IN 2023

TABLE 22 SOFTWARE: MARKET, BY GENERATIVE MODEL, 2019–2022 (USD MILLION)

TABLE 23 SOFTWARE: MARKET, BY GENERATIVE MODEL, 2023–2028 (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 24 RULE-BASED MODELS: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 25 RULE-BASED MODELS: MARKET, BY REGION, 2023–2028 (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 26 STATISTICAL MODELS: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 27 STATISTICAL MODELS: MARKET, BY REGION, 2023–2028 (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 28 DEEP LEARNING MODELS: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 29 DEEP LEARNING MODELS: MARKET, BY REGION, 2023–2028 (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 Generative adversarial networks (GANs) provide unique approach to generative AI by training two competing neural networks to generate diverse data

TABLE 30 GENERATIVE ADVERSARIAL NETWORKS: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 31 GENERATIVE ADVERSARIAL NETWORKS: MARKET, BY REGION, 2023–2028 (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 32 AUTOENCODERS: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 33 AUTOENCODERS: MARKET, BY REGION, 2023–2028 (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 34 CONVOLUTIONAL NEURAL NETWORKS: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 35 CONVOLUTIONAL NEURAL NETWORKS: MARKET, BY REGION, 2023–2028 (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 models

6.2.1.7.1 Transformer models offer state-of-the-art performance and can generate coherent and contextually relevant text

TABLE 36 TRANSFORMER MODELS: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 37 TRANSFORMER MODELS: MARKET, BY REGION, 2023–2028 (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 (LaMDAs)

6.2.1.7.1.7 Other transformer models

6.3 SERVICES

FIGURE 38 MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR IN MARKET FOR SERVICES DURING FORECAST PERIOD

TABLE 38 GENERATIVE AI MARKET, BY SERVICES, 2019–2022 (USD MILLION)

TABLE 39 MARKET, BY SERVICES, 2023–2028 (USD MILLION)

TABLE 40 SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 41 SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)

6.3.1 PROFESSIONAL SERVICES

6.3.1.1 Professional services offer specialized expertise in generative AI to meet specific needs

FIGURE 39 TRAINING AND CONSULTING SUB-SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD

TABLE 42 SERVICES: GENERATIVE AI MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)

TABLE 43 SERVICES: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)

TABLE 44 PROFESSIONAL SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 45 PROFESSIONAL SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)

6.3.1.1.1 Training and consulting services

TABLE 46 TRAINING AND CONSULTING SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 47 TRAINING AND CONSULTING SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)

6.3.1.1.2 System integration and implementation services

TABLE 48 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 49 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)

6.3.1.1.3 Support and maintenance services

TABLE 50 SUPPORT AND MAINTENANCE SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 51 SUPPORT AND MAINTENANCE SERVICES: MARKET, BY REGION, 2023–2028 (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 52 MANAGED SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 53 MANAGED SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)

7 GENERATIVE AI MARKET, BY APPLICATION (Page No. - 147)

7.1 INTRODUCTION

7.1.1 APPLICATION: MARKET DRIVERS

FIGURE 40 NATURAL LANGUAGE GENERATION SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023

TABLE 54 MARKET, BY APPLICATION, 2019–2022 (USD MILLION)

TABLE 55 MARKET, BY APPLICATION, 2023–2028 (USD MILLION)

7.2 NATURAL LANGUAGE PROCESSING (NLP)

7.2.1 NLP-BASED APPLICATIONS IDEAL FOR LANGUAGE TRANSLATION, CONTENT GENERATION, AND TEXT SUMMARIZATION

TABLE 56 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 57 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2023–2028 (USD MILLION)

7.2.1.1 Automated Content Creation

7.2.1.2 Product Description

7.2.1.3 Marketing Copy

7.2.1.4 Sentiment Analysis

7.2.1.5 Language Translation

7.3 ML-BASED PREDICTIVE MODELING

7.3.1 GENERATIVE AI IMPROVES PREDICTIVE MODELING BY GENERATING SYNTHETIC DATA POINTS TO AUGMENT EXISTING DATASETS

TABLE 58 ML-BASED PREDICTIVE MODELING: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 59 ML-BASED PREDICTIVE MODELING: MARKET, BY REGION, 2023–2028 (USD MILLION)

7.3.1.1 Predictive Analytics

7.3.1.2 Personalized Recommendations

7.3.1.3 Others

7.4 COMPUTER VISION

7.4.1 DEPLOYED TO GENERATE HIGH-QUALITY, REALISTIC IMAGES AND VIDEOS, VIRTUAL TRY-ONS, AND VIDEO PRODUCTION

TABLE 60 COMPUTER VISION: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 61 COMPUTER VISION: MARKET, BY REGION, 2023–2028 (USD MILLION)

7.4.1.1 Object Recognition

7.4.1.2 Image and Video Analysis

7.4.1.3 Surveillance

7.5 ROBOTICS AND AUTOMATION

7.5.1 GENERATIVE AI CAN ENABLE ROBOTS TO PERFORM TASKS IN COMPLEX ENVIRONMENTS BY GENERATING NEW, CONTEXTUALLY RELEVANT RESPONSES

TABLE 62 ROBOTICS AND AUTOMATION: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 63 ROBOTICS AND AUTOMATION: MARKET, BY REGION, 2023–2028 (USD MILLION)

7.5.1.1 Assembly Line Production

7.5.1.2 Material Handling

7.5.1.3 Others

7.6 SPEECH RECOGNITION

7.6.1 GENERATIVE AI CAN GENERATE HIGH-QUALITY, REALISTIC SPEECH THAT CAN IMPROVE RELIABILITY OF SPEECH RECOGNITION SYSTEMS

TABLE 64 SPEECH RECOGNITION: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 65 SPEECH RECOGNITION: MARKET, BY REGION, 2023–2028 (USD MILLION)

7.6.1.1 Speech-to-Text Conversion

7.6.1.2 Call Center Automation

7.6.1.3 Others

7.7 MUSIC AND ART GENERATION

7.7.1 CREATION OF ORIGINAL PIECES OF MUSIC AND ART BY BLENDING NEW FORMS OF CREATIVITY AND EXPRESSION

TABLE 66 MUSIC AND ART GENERATION: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 67 MUSIC AND ART GENERATION: MARKET, BY REGION, 2023–2028 (USD MILLION)

7.7.1.1 Automated Music Composition

7.7.1.2 Visual Art

7.7.1.3 Graphics Design

7.8 EDUCATION AND TRAINING

7.8.1 REALISTIC SIMULATIONS FOR TRAINING AND EDUCATION ENABLE LEARNERS TO PRACTICE IN SAFE AND CONTROLLED SETTINGS

TABLE 68 EDUCATION AND TRAINING: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 69 EDUCATION AND TRAINING: MARKET, BY REGION, 2023–2028 (USD MILLION)

7.9 FINANCE AND ACCOUNTING

7.9.1 FINANCIAL MODELS AND SIMULATIONS ALLOW BUSINESSES TO EXPLORE VARIOUS SCENARIOS AND MAKE INFORMED DECISIONS

TABLE 70 FINANCE AND ACCOUNTING: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 71 FINANCE AND ACCOUNTING: MARKET, BY REGION, 2023–2028 (USD MILLION)

7.9.1.1 Fraud detection and risk assessment

7.9.1.2 Investment analysis and financial forecasting

7.9.1.3 Compliance monitoring

7.10 LEGAL

7.10.1 GENERATIVE AI CAN AUTOMATE DOCUMENT GENERATION AND REVIEW, SAVING TIME AND INCREASING ACCURACY IN LEGAL PROCESSES

TABLE 72 LEGAL: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 73 LEGAL: MARKET, BY REGION, 2023–2028 (USD MILLION)

7.10.1.1 Contact analysis and review

7.10.1.2 Legal research and analysis

7.10.1.3 Automated document summarization

7.10.1.4 Others

7.11 CUSTOMER SERVICE AND SUPPORT

7.11.1 CONTEXTUALLY RELEVANT AND PERSONALIZED RESPONSES TO CUSTOMER INQUIRIES REDUCE WORKLOAD FOR SUPPORT TEAMS

TABLE 74 CUSTOMER SERVICE AND SUPPORT: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 75 CUSTOMER SERVICE AND SUPPORT: MARKET, BY REGION, 2023–2028 (USD MILLION)

7.11.1.1 Chatbots

7.11.1.2 Voice assistants

7.11.1.3 Automated ticket resolution

7.12 AUGMENTED REALITY (AR) AND VIRTUAL REALITY (VR)

7.12.1 GENERATIVE AI-POWERED AR/VR ENABLING NEW FORMS OF ENTERTAINMENT, TRAINING, AND COMMUNICATION

TABLE 76 AUGMENTED REALITY AND VIRTUAL REALITY: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 77 AUGMENTED REALITY AND VIRTUAL REALITY: MARKET, BY REGION, 2023–2028 (USD MILLION)

7.12.1.1 Virtual object creation

7.12.1.2 Virtual environment creation

7.12.1.3 Personalized avatar creation

7.12.1.4 Training and simulation

7.13 SYNTHETIC DATA GENERATION

7.13.1 SYNTHETIC DATA USED HEAVILY FOR VARIOUS TASKS LIKE TRAINING MACHINE LEARNING MODELS AND TESTING ALGORITHMS

TABLE 78 SYNTHETIC DATA GENERATION: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 79 SYNTHETIC DATA GENERATION: MARKET, BY REGION, 2023–2028 (USD MILLION)

7.13.1.1 Autonomous system training

7.13.1.2 Medical imaging

7.13.1.3 Cybersecurity

7.13.1.4 Product design

7.13.1.5 Precision agriculture

7.13.1.6 Environmental sustainability

7.14 VIDEO EDITING/GENERATION

7.14.1 HIGH-QUALITY, REALISTIC VIDEOS AND ANIMATIONS ALLOW FOR NEW FORMS OF STORYTELLING AND COMMUNICATION

TABLE 80 VIDEO EDITING/GENERATION: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 81 VIDEO EDITING/GENERATION: MARKET, BY REGION, 2023–2028 (USD MILLION)

7.14.1.1 Automated video editing

7.14.1.2 Virtual set design

7.14.1.3 Special effects and animation

7.15 3D MODELING AND RECONSTRUCTION

7.15.1 REALISTIC 3D MODELS AND RECONSTRUCTION OF MISSING DATA ENABLING APPLICATIONS LIKE VIRTUAL TRY-ONS AND PRODUCT DESIGN

TABLE 82 3D MODELING AND RECONSTRUCTION: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 83 3D MODELING AND RECONSTRUCTION: MARKET, BY REGION, 2023–2028 (USD MILLION)

7.15.1.1 Image and texture synthesis

7.15.1.2 2D to 3D model generation

7.15.1.3 3D model simulations

7.16 GAME DESIGN AND CHARACTER PRODUCTION

7.16.1 GENERATIVE AI CAN CREATE NOVEL AND ORIGINAL CHARACTERS AND GAME ELEMENTS, ENHANCING CREATIVITY AND DIVERSITY OF GAME DESIGN

TABLE 84 GAME DESIGN AND CHARACTER PRODUCTION: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 85 GAME DESIGN AND CHARACTER PRODUCTION: MARKET, BY REGION, 2023–2028 (USD MILLION)

7.16.1.1 Procedural content generation

7.16.1.2 Non-player character generation

8 GENERATIVE AI MARKET, BY VERTICAL (Page No. - 182)

8.1 INTRODUCTION

8.1.1 VERTICAL: MARKET DRIVERS

FIGURE 41 MEDIA & ENTERTAINMENT SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD

TABLE 86 MARKET, BY VERTICAL, 2019–2022 (USD MILLION)

TABLE 87 MARKET, BY VERTICAL, 2023–2028 (USD MILLION)

8.2 MEDIA & ENTERTAINMENT

8.2.1 EARLY ADOPTER OF GENERATIVE AI DISRUPTION WAVE

8.2.2 MEDIA & ENTERTAINMENT: GENERATIVE AI USE CASES

FIGURE 42 MEDIA & ENTERTAINMENT: GENERATIVE AI USE CASES

TABLE 88 MEDIA & ENTERTAINMENT: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 89 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)

8.2.2.1 Gaming

8.2.2.2 Publishing agencies

8.2.2.3 Print & electronic media

8.2.2.4 Other media & entertainment applications

8.3 TRANSPORTATION & LOGISTICS

8.3.1 ROUTE OPTIMIZATION AND TRAFFIC PLANNING THROUGH GENERATIVE TECH TO ATTAIN EFFICIENCY

8.3.2 TRANSPORTATION & LOGISTICS: GENERATIVE AI USE CASES

FIGURE 43 TRANSPORTATION & LOGISTICS: GENERATIVE AI USE CASES

TABLE 90 TRANSPORTATION & LOGISTICS: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 91 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2023–2028 (USD MILLION)

8.3.2.1 Air

8.3.2.2 Road

8.3.2.3 Rail

8.3.2.4 Maritime

8.3.2.5 Third-party logistics (3PL)

8.4 MANUFACTURING

8.4.1 GENERATIVE AI TO IMPROVE PROTOTYPE DESIGN AND CAPACITY PLANNING IN SMART FACTORIES

8.4.2 MANUFACTURING: GENERATIVE AI USE CASES

FIGURE 44 MANUFACTURING: GENERATIVE AI USE CASES

TABLE 92 MANUFACTURING: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 93 MANUFACTURING: MARKET, BY REGION, 2023–2028 (USD MILLION)

8.4.2.1 Discrete manufacturing

8.4.2.2 Process manufacturing

8.5 HEALTHCARE & LIFE SCIENCES

8.5.1 ENTERPRISES RAPIDLY SHIFTING TO SYNTHETICALLY CREATED DATA TO MITIGATE RISKS ASSOCIATED WITH DATA PRIVACY

8.5.2 HEALTHCARE & LIFE SCIENCES: GENERATIVE AI USE CASES

FIGURE 45 HEALTHCARE & LIFE SCIENCES: GENERATIVE AI USE CASES

TABLE 94 HEALTHCARE & LIFE SCIENCES: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 95 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2023–2028 (USD MILLION)

8.5.2.1 Healthcare institutes

8.5.2.2 Healthcare device manufacturing

8.5.2.3 Pharmaceuticals & life sciences

8.5.2.4 Medical research

8.6 IT & ITES

8.6.1 INCREASE IN CYBERSECURITY AND MINIMIZED COSTS IN BUSINESS FUNCTIONS BY IMPLEMENTING GENERATIVE AI SOLUTIONS

8.6.2 IT & ITES: GENERATIVE AI USE CASES

FIGURE 46 IT & ITES: GENERATIVE AI USE CASES

TABLE 96 IT & ITES: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 97 IT & ITES: MARKET, BY REGION, 2023–2028 (USD MILLION)

8.7 CONSTRUCTION & REAL ESTATE

8.7.1 INTEGRATION OF GENERATIVE AI TOOLS TO HELP REAL ESTATE FIRMS ATTRACT AND RETAIN TENANTS

8.7.2 CONSTRUCTION & REAL ESTATE: GENERATIVE AI USE CASES

FIGURE 47 CONSTRUCTION & REAL ESTATE: GENERATIVE AI USE CASES

TABLE 98 CONSTRUCTION & REAL ESTATE: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 99 CONSTRUCTION & REAL ESTATE: MARKET, BY REGION, 2023–2028 (USD MILLION)

8.8 BFSI

8.8.1 GENERATIVE AI SOLUTIONS HELP BFSI SECTOR REDUCE FRAUD, LEVERAGE INTELLIGENT, CUSTOMER-FOCUSED MARKETING

8.8.2 BFSI: GENERATIVE AI USE CASES

FIGURE 48 BFSI: GENERATIVE AI USE CASES

TABLE 100 BFSI: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 101 BFSI: MARKET, BY REGION, 2023–2028 (USD MILLION)

8.8.2.1 Banking

8.8.2.2 Financial services & fintech

8.8.2.3 Insurance

8.9 ENERGY & UTILITIES

8.9.1 GENERATIVE AI TOOLS IDENTIFY LIKELIHOOD OF OUTAGES AND OFFER QUALITY SERVICES TO RETAIN EXISTING CUSTOMERS

8.9.2 ENERGY & UTILITIES: GENERATIVE AI USE CASES

FIGURE 49 ENERGY & UTILITIES: GENERATIVE AI USE CASES

TABLE 102 ENERGY & UTILITIES: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 103 ENERGY & UTILITIES: MARKET, BY REGION, 2023–2028 (USD MILLION)

8.9.2.1 Oil & gas

8.9.2.2 Utilities

8.9.2.3 Mining

8.10 RETAIL & E-COMMERCE

8.10.1 GENERATIVE AI TOOLS HELP RETAIL SECTOR OPTIMIZE INVENTORY PLANNING WHILE REDUCING SHELF SHRINKAGE

8.10.2 RETAIL & E-COMMERCE: GENERATIVE AI USE CASES

FIGURE 50 RETAIL & E-COMMERCE: GENERATIVE AI USE CASES

TABLE 104 RETAIL & E-COMMERCE: GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 105 RETAIL & E-COMMERCE: MARKET, BY REGION, 2023–2028 (USD MILLION)

8.11 GOVERNMENT & DEFENSE

8.11.1 LEVERAGING GENERATIVE AI TOOLS FOR THREAT DETECTION AND ENHANCING SURVEILLANCE

8.11.2 GOVERNMENT & DEFENSE: GENERATIVE AI USE CASES

FIGURE 51 GOVERNMENT & DEFENSE: GENERATIVE AI USE CASES

TABLE 106 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 107 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2023–2028 (USD MILLION)

8.11.2.1 Public sector

8.11.2.2 Military & defense

8.12 OTHER VERTICALS

8.12.1 TELECOM SECTOR LEVERAGING GENERATIVE AI TOOLS TO OPTIMIZE NETWORK OPERATIONS AND CUSTOMER SERVICES

TABLE 108 OTHER VERTICALS: MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 109 OTHER VERTICALS: MARKET, BY REGION, 2023–2028 (USD MILLION)

9 MARKET, BY REGION (Page No. - 218)

9.1 INTRODUCTION

FIGURE 52 ASIA PACIFIC MARKET TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD

FIGURE 53 INDIA TO REGISTER HIGHEST CAGR IN MARKET DURING FORECAST PERIOD

TABLE 110 MARKET, BY REGION, 2019–2022 (USD MILLION)

TABLE 111 MARKET, BY REGION, 2023–2028 (USD MILLION)

9.2 NORTH AMERICA

9.2.1 NORTH AMERICA: MARKET DRIVERS

9.2.2 NORTH AMERICA: RECESSION IMPACT

FIGURE 54 NORTH AMERICA: GENERATIVE AI MARKET SNAPSHOT

TABLE 112 NORTH AMERICA: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 113 NORTH AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

TABLE 114 NORTH AMERICA: MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)

TABLE 115 NORTH AMERICA: MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)

TABLE 116 NORTH AMERICA: MARKET, BY SERVICE, 2019–2022 (USD MILLION)

TABLE 117 NORTH AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)

TABLE 118 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)

TABLE 119 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)

TABLE 120 NORTH AMERICA: MARKET, BY APPLICATION, 2019–2022 (USD MILLION)

TABLE 121 NORTH AMERICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)

TABLE 122 NORTH AMERICA: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)

TABLE 123 NORTH AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)

TABLE 124 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)

TABLE 125 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)

9.2.3 US

9.2.3.1 Rising demand for generative AI majorly contributing to US revenue

TABLE 126 US: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 127 US: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.2.4 CANADA

9.2.4.1 Growing adoption of generative AI solutions by enterprises

TABLE 128 CANADA: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 129 CANADA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.3 EUROPE

9.3.1 EUROPE: MARKET DRIVERS

9.3.2 EUROPE: RECESSION IMPACT

TABLE 130 EUROPE: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 131 EUROPE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

TABLE 132 EUROPE: MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)

TABLE 133 EUROPE: MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)

TABLE 134 EUROPE: MARKET, BY SERVICE, 2019–2022 (USD MILLION)

TABLE 135 EUROPE: MARKET, BY SERVICE, 2023–2028 (USD MILLION)

TABLE 136 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)

TABLE 137 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)

TABLE 138 EUROPE: MARKET, BY APPLICATION, 2019–2022 (USD MILLION)

TABLE 139 EUROPE: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)

TABLE 140 EUROPE: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)

TABLE 141 EUROPE: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)

TABLE 142 EUROPE: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)

TABLE 143 EUROPE: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)

9.3.3 UK

9.3.3.1 UK government creating code of practice for generative AI companies

TABLE 144 UK: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 145 UK: MARKET, BY OFFERING, 2023–2028 (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 146 GERMANY: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 147 GERMANY: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.3.5 FRANCE

9.3.5.1 Increasing research and educational excellence to drive demand for AI-enabled technologies

TABLE 148 FRANCE: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 149 FRANCE: MARKET, BY OFFERING, 2023–2028 (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 150 ITALY: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 151 ITALY: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.3.7 SPAIN

9.3.7.1 Spain to lead in training Spanish-large language models

TABLE 152 SPAIN: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 153 SPAIN: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.3.8 FINLAND

9.3.8.1 Finland to integrate generative AI applications into teaching

TABLE 154 FINLAND: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 155 FINLAND: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.3.9 REST OF EUROPE

TABLE 156 REST OF EUROPE: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 157 REST OF EUROPE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.4 ASIA PACIFIC

9.4.1 ASIA PACIFIC: MARKET DRIVERS

9.4.2 ASIA PACIFIC: RECESSION IMPACT

FIGURE 55 ASIA PACIFIC: GENERATIVE AI MARKET SNAPSHOT

TABLE 158 ASIA PACIFIC: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 159 ASIA PACIFIC: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

TABLE 160 ASIA PACIFIC: MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)

TABLE 161 ASIA PACIFIC: MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)

TABLE 162 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2022 (USD MILLION)

TABLE 163 ASIA PACIFIC: MARKET, BY SERVICE, 2023–2028 (USD MILLION)

TABLE 164 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)

TABLE 165 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)

TABLE 166 ASIA PACIFIC: MARKET, BY APPLICATION, 2019–2022 (USD MILLION)

TABLE 167 ASIA PACIFIC: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)

TABLE 168 ASIA PACIFIC: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)

TABLE 169 ASIA PACIFIC: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)

TABLE 170 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)

TABLE 171 ASIA PACIFIC: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)

9.4.3 CHINA

9.4.3.1 Generative AI technology to be transformative for China’s technology sector

TABLE 172 CHINA: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 173 CHINA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.4.4 INDIA

9.4.4.1 Launch of Lexi marks major landmark in generative AI development

TABLE 174 INDIA: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 175 INDIA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.4.5 JAPAN

9.4.5.1 Tokyo-1 to accelerate Japan’s pharma industry

TABLE 176 JAPAN: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 177 JAPAN: MARKET, BY OFFERING, 2023–2028 (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 178 SOUTH KOREA: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 179 SOUTH KOREA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.4.7 SINGAPORE

9.4.7.1 Singapore making progress in advancement of generative AI

TABLE 180 SINGAPORE: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 181 SINGAPORE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.4.8 AUSTRALIA & NEW ZEALAND

9.4.8.1 Australia & New Zealand to explore AI’s potential more broadly

TABLE 182 AUSTRALIA & NEW ZEALAND: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 183 AUSTRALIA & NEW ZEALAND: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.4.9 REST OF ASIA PACIFIC

TABLE 184 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 185 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.5 MIDDLE EAST & AFRICA

9.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS

9.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT

TABLE 186 MIDDLE EAST & AFRICA: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 187 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

TABLE 188 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)

TABLE 189 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)

TABLE 190 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2022 (USD MILLION)

TABLE 191 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)

TABLE 192 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)

TABLE 193 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)

TABLE 194 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2019–2022 (USD MILLION)

TABLE 195 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)

TABLE 196 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)

TABLE 197 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)

TABLE 198 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)

TABLE 199 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)

9.5.3 SAUDI ARABIA

9.5.3.1 Major investments by tech giants to bring AI revolution

TABLE 200 SAUDI ARABIA: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 201 SAUDI ARABIA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.5.4 UAE

9.5.4.1 Adoption of trailblazing technologies for advanced education system to boost market

TABLE 202 UAE: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 203 UAE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.5.5 SOUTH AFRICA

9.5.5.1 Healthcare vertical to initiate developments in generative AI space

TABLE 204 SOUTH AFRICA: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 205 SOUTH AFRICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.5.6 ISRAEL

9.5.6.1 Strong cluster of generative AI startups to lead to market growth

TABLE 206 ISRAEL: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 207 ISRAEL: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.5.7 REST OF MIDDLE EAST & AFRICA

TABLE 208 REST OF MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 209 REST OF MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.6 LATIN AMERICA

9.6.1 LATIN AMERICA: MARKET DRIVERS

9.6.2 LATIN AMERICA: RECESSION IMPACT

TABLE 210 LATIN AMERICA: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 211 LATIN AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

TABLE 212 LATIN AMERICA: MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)

TABLE 213 LATIN AMERICA: MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)

TABLE 214 LATIN AMERICA: MARKET, BY SERVICE, 2019–2022 (USD MILLION)

TABLE 215 LATIN AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)

TABLE 216 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)

TABLE 217 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)

TABLE 218 LATIN AMERICA: MARKET, BY APPLICATION, 2019–2022 (USD MILLION)

TABLE 219 LATIN AMERICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)

TABLE 220 LATIN AMERICA: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)

TABLE 221 LATIN AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)

TABLE 222 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)

TABLE 223 LATIN AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)

9.6.3 BRAZIL

9.6.3.1 Establishment of cloud region to propel market

TABLE 224 BRAZIL: GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 225 BRAZIL: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.6.4 MEXICO

9.6.4.1 Use of ChatGPT by Mexican Bank Banorte to create growth opportunities

TABLE 226 MEXICO: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 227 MEXICO: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.6.5 ARGENTINA

9.6.5.1 Inflation to affect market

TABLE 228 ARGENTINA: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 229 ARGENTINA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

9.6.6 REST OF LATIN AMERICA

TABLE 230 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2019–2022 (USD MILLION)

TABLE 231 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)

10 COMPETITIVE LANDSCAPE (Page No. - 277)

10.1 OVERVIEW

10.2 KEY STRATEGIES ADOPTED BY MAJOR PLAYERS

TABLE 232 OVERVIEW OF STRATEGIES ADOPTED BY KEY GENERATIVE AI VENDORS

10.3 REVENUE ANALYSIS

10.3.1 HISTORIC REVENUE ANALYSIS

FIGURE 56 HISTORIC REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2020–2022 (USD MILLION)

10.4 MARKET SHARE ANALYSIS

FIGURE 57 MARKET SHARE ANALYSIS FOR KEY COMPANIES IN 2022

TABLE 233 GENERATIVE AI MARKET: DEGREE OF COMPETITION

10.5 COMPANY EVALUATION QUADRANT

10.5.1 STARS

10.5.2 EMERGING LEADERS

10.5.3 PERVASIVE PLAYERS

10.5.4 PARTICIPANTS

FIGURE 58 GENERATIVE AI MARKET: COMPANY EVALUATION QUADRANT, 2022

10.6 COMPETITIVE BENCHMARKING

TABLE 234 MARKET: PRODUCT FOOTPRINT ANALYSIS OF KEY PLAYERS, 2022

TABLE 235 MARKET: PRODUCT FOOTPRINT ANALYSIS OF OTHER KEY PLAYERS, 2022

10.7 STARTUP/SME EVALUATION QUADRANT

10.7.1 PROGRESSIVE COMPANIES

10.7.2 RESPONSIVE COMPANIES

10.7.3 DYNAMIC COMPANIES

10.7.4 STARTING BLOCKS

FIGURE 59 STARTUP/SME GENERATIVE AI PLAYERS: COMPANY EVALUATION QUADRANT, 2022

10.8 STARTUP/SME COMPETITIVE BENCHMARKING

TABLE 236 MARKET: DETAILED LIST OF KEY STARTUPS/SMES

TABLE 237 GENERATIVE AI MARKET: PRODUCT FOOTPRINT ANALYSIS OF STARTUP/SME PLAYERS, 2022

10.9 GENERATIVE AI PRODUCT LANDSCAPE

FIGURE 60 GENERATIVE AI: TOP TRENDING PRODUCTS

10.9.1 TRENDING TEXT-BASED GENERATIVE AI PRODUCTS

TABLE 238 COMPARATIVE ANALYSIS OF TRENDING TEXT-BASED GENERATIVE AI PRODUCTS

10.9.1.1 CHATGPT

10.9.1.2 BING

10.9.1.3 BARD

10.9.1.4 YOUCHAT

10.9.1.5 CHARACTER.AI

10.9.2 TRENDING IMAGE-BASED GENERATIVE AI PRODUCTS

TABLE 239 COMPARATIVE ANALYSIS OF TRENDING IMAGE-BASED GENERATIVE AI PRODUCTS

10.9.2.1 DALL-E

10.9.2.2 CRAIYON

10.9.2.3 MIDJOURNEY

10.9.2.4 STABLE DIFFUSION

10.9.2.5 NIGHTCAFE

10.9.3 TRENDING VIDEO-BASED GENERATIVE AI PRODUCTS

TABLE 240 COMPARATIVE ANALYSIS OF TRENDING VIDEO-BASED GENERATIVE AI PRODUCTS

10.9.3.1 SYNTHESIA

10.9.3.2 LUMEN5

10.9.3.3 ELAI

10.9.3.4 FLEXCLIP

10.9.3.5 VEED.IO

10.9.4 TRENDING CODE-BASED GENERATIVE AI PRODUCTS

TABLE 241 COMPARATIVE ANALYSIS OF TRENDING CODE-BASED GENERATIVE AI PRODUCTS

10.9.4.1 CODEX

10.9.4.2 PYCHARM

10.9.4.3 TABNINE

10.9.4.4 CODOTA

10.9.4.5 SOURCEAI

10.9.5 TRENDING AUDIO-BASED GENERATIVE AI PRODUCTS

TABLE 242 COMPARATIVE ANALYSIS OF TRENDING AUDIO-BASED GENERATIVE AI PRODUCTS

10.9.5.1 SPEECHIFY

10.9.5.2 PLAY.HT

10.9.5.3 MURF

10.9.5.4 AIVA

10.9.5.5 OPENAI JUKEBOX

10.9.6 OTHER TRENDING GENERATIVE AI PRODUCTS

10.9.6.1 VUE.AI

10.9.6.2 SYTE

10.9.6.3 ARTOMATIX

10.9.6.4 CLARA.IO

10.9.6.5 MATTERPORT

10.9.7 VALUATION AND FINANCIAL METRICS OF KEY GENERATIVE AI VENDORS

TABLE 243 VALUATION AND FINANCIAL METRICS OF KEY GENERATIVE AI VENDORS

10.1 COMPETITIVE SCENARIO AND TRENDS

10.10.1 PRODUCT LAUNCHES AND ENHANCEMENTS

TABLE 244 NEW SERVICE/SOLUTION LAUNCHES, 2021–2023

10.10.2 DEALS

TABLE 245 DEALS, 2021–2023

11 COMPANY PROFILES (Page No. - 309)

11.1 INTRODUCTION

(Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View)*

11.2 KEY PLAYERS

11.2.1 MICROSOFT

TABLE 246 MICROSOFT: BUSINESS OVERVIEW

FIGURE 61 MICROSOFT: COMPANY SNAPSHOT

TABLE 247 MICROSOFT: SOLUTIONS/SERVICES OFFERED

TABLE 248 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS

TABLE 249 MICROSOFT: DEALS

11.2.2 AWS

TABLE 250 AWS: BUSINESS OVERVIEW

FIGURE 62 AWS: COMPANY SNAPSHOT

TABLE 251 AWS: SOLUTIONS/SERVICES OFFERED

TABLE 252 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS

TABLE 253 AWS: DEALS

11.2.3 GOOGLE

TABLE 254 GOOGLE: BUSINESS OVERVIEW

FIGURE 63 GOOGLE: COMPANY SNAPSHOT

TABLE 255 GOOGLE: SOLUTIONS/SERVICES OFFERED

TABLE 256 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS

TABLE 257 GOOGLE: DEALS

11.2.4 ADOBE

TABLE 258 ADOBE: BUSINESS OVERVIEW

FIGURE 64 ADOBE: COMPANY SNAPSHOT

TABLE 259 ADOBE: SOLUTIONS/SERVICES OFFERED

TABLE 260 ADOBE: PRODUCT LAUNCHES AND ENHANCEMENTS

TABLE 261 ADOBE: DEALS

11.2.5 IBM

TABLE 262 IBM: BUSINESS OVERVIEW

FIGURE 65 IBM: COMPANY SNAPSHOT

TABLE 263 IBM: SOLUTIONS/SERVICES OFFERED

TABLE 264 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS

TABLE 265 IBM: DEALS

11.2.6 OPENAI

TABLE 266 OPENAI: BUSINESS OVERVIEW

TABLE 267 OPENAI: SOLUTIONS/SERVICES OFFERED

TABLE 268 OPENAI: PRODUCT LAUNCHES AND ENHANCEMENTS

TABLE 269 OPENAI: DEALS

11.2.7 META

TABLE 270 META: BUSINESS OVERVIEW

FIGURE 66 META: COMPANY SNAPSHOT

TABLE 271 META: SOLUTIONS/SERVICES OFFERED

TABLE 272 META: PRODUCT LAUNCHES AND ENHANCEMENTS

TABLE 273 META: DEALS

11.2.8 INSILICO MEDICINE

TABLE 274 INSILICO MEDICINE: BUSINESS OVERVIEW

TABLE 275 INSILICO MEDICINE: SOLUTIONS/SERVICES OFFERED

TABLE 276 INSILICO MEDICINE: PRODUCT LAUNCHES AND ENHANCEMENTS

TABLE 277 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 PLAY.HT

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 DEEP AI

11.3.14 GALILEO

11.3.15 EXCEL FORMULA BOT

11.3.16 JETBRAINS

11.3.17 CHARACTER.AI

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. - 360)

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 278 CONVERSATIONAL AI MARKET, BY COMPONENT, 2016–2020 (USD MILLION)

TABLE 279 CONVERSATIONAL AI MARKET, BY COMPONENT, 2021–2026 (USD MILLION)

TABLE 280 CONVERSATIONAL AI MARKET, BY SERVICE, 2016–2020 (USD MILLION)

TABLE 281 CONVERSATIONAL AI MARKET, BY SERVICE, 2021–2026 (USD MILLION)

12.1.2.2 Conversational AI market, by type

TABLE 282 CONVERSATIONAL AI MARKET, BY TYPE, 2016–2020 (USD MILLION)

TABLE 283 CONVERSATIONAL AI MARKET, BY TYPE, 2021–2026 (USD MILLION)

12.1.2.3 Conversational AI market, by deployment mode

TABLE 284 CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2016–2020 (USD MILLION)

TABLE 285 CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)

12.1.2.4 Conversational AI market, by organization size

TABLE 286 CONVERSATIONAL AI MARKET, BY ORGANIZATION SIZE, 2016–2020 (USD MILLION)

TABLE 287 CONVERSATIONAL AI MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)

12.1.2.5 Conversational AI market, by mode of integration

TABLE 288 CONVERSATIONAL AI MARKET, BY MODE OF INTEGRATION, 2016–2020 (USD MILLION)

TABLE 289 CONVERSATIONAL AI MARKET, BY MODE OF INTEGRATION, 2021–2026 (USD MILLION)

12.1.2.6 Conversational AI market, by technology

TABLE 290 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2016–2020 (USD MILLION)

TABLE 291 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2021–2026 (USD MILLION)

12.1.2.7 Conversational AI market, by business function

TABLE 292 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2016–2020 (USD MILLION)

TABLE 293 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2021–2026 (USD MILLION)

12.1.2.8 Conversational AI market, by vertical

TABLE 294 CONVERSATIONAL AI MARKET, BY VERTICAL, 2016–2020 (USD MILLION)

TABLE 295 CONVERSATIONAL AI MARKET, BY VERTICAL, 2021–2026 (USD MILLION)

12.1.2.9 Conversational AI market, by region

TABLE 296 CONVERSATIONAL AI MARKET, BY REGION, 2016–2020 (USD MILLION)

TABLE 297 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 298 CHATBOT MARKET, BY COMPONENT, 2015–2019 (USD MILLION)

TABLE 299 CHATBOT MARKET, BY COMPONENT, 2020–2026 (USD MILLION)

TABLE 300 CHATBOT MARKET, BY SOLUTION, 2015–2019 (USD MILLION)

TABLE 301 CHATBOT MARKET, BY SOLUTION, 2020–2026 (USD MILLION)

TABLE 302 CHATBOT MARKET, BY SERVICE, 2015–2019 (USD MILLION)

TABLE 303 CHATBOT MARKET, BY SERVICE, 2020–2026 (USD MILLION)

TABLE 304 PROFESSIONAL SERVICES: CHATBOT MARKET, BY TYPE, 2015–2019 (USD MILLION)

TABLE 305 PROFESSIONAL SERVICES: CHATBOT MARKET, BY TYPE, 2020–2026 (USD MILLION)

12.2.2.2 Chatbot market, by type

TABLE 306 CHATBOT MARKET, BY TYPE, 2015–2019 (USD MILLION)

TABLE 307 CHATBOT MARKET, BY TYPE, 2020–2026 (USD MILLION)

12.2.2.3 Chatbot market, by deployment mode

TABLE 308 CHATBOT MARKET, BY DEPLOYMENT MODE, 2015–2019 (USD MILLION)

TABLE 309 CHATBOT MARKET, BY DEPLOYMENT MODE, 2020–2026 (USD MILLION)

12.2.2.4 Chatbot market, by channel integration

TABLE 310 CHATBOT MARKET, BY CHANNEL INTEGRATION, 2015–2019 (USD MILLION)

TABLE 311 CHATBOT MARKET, BY CHANNEL INTEGRATION, 2020–2026 (USD MILLION)

12.2.2.5 Chatbot market, by organization size

TABLE 312 CHATBOT MARKET, BY ORGANIZATION SIZE, 2015–2019 (USD MILLION)

TABLE 313 CHATBOT MARKET, BY ORGANIZATION SIZE, 2020–2026 (USD MILLION)

12.2.2.6 Chatbot market, by business function

TABLE 314 CHATBOT MARKET, BY BUSINESS FUNCTION, 2015–2019 (USD MILLION)

TABLE 315 CHATBOT MARKET, BY BUSINESS FUNCTION, 2020–2026 (USD MILLION)

12.2.2.7 Chatbot market, by application

TABLE 316 CHATBOT MARKET, BY APPLICATION, 2015–2019 (USD MILLION)

TABLE 317 CHATBOT MARKET, BY APPLICATION, 2020–2026 (USD MILLION)

12.2.2.8 Chatbot market, by vertical

TABLE 318 CHATBOT MARKET, BY VERTICAL, 2015–2019 (USD MILLION)

TABLE 319 CHATBOT MARKET, BY VERTICAL, 2020–2026 (USD MILLION)

12.2.2.9 Chatbot market, by region

TABLE 320 CHATBOT MARKET, BY REGION, 2015–2019 (USD MILLION)

TABLE 321 CHATBOT MARKET, BY REGION, 2020–2026 (USD MILLION)

13 APPENDIX (Page No. - 378)

13.1 DISCUSSION GUIDE

13.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL

13.3 CUSTOMIZATION OPTIONS

13.4 RELATED REPORTS

13.5 AUTHOR DETAILS

The research study for the generative AI market 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, 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, Generative AI 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 generative AI solution vendors, 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 overall generative AI market.

The breakup of Primary Research:

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
ExcelFormulaBot	CEO and Co-Founder
IBM	Senior Data Scientist
Google	Senior Technology Expert

Generative AI 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 market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the 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 overall generative AI market size and segments’ size were determined and confirmed using the study.

Global Generative AI Market Size: Bottom-Up Approach:

Generative AI Market Size, and Share

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

Global Generative AI Market Size: Top-down Approach

Generative AI Market Size, and Share

Data Triangulation

Market Definition

Generative AI refers to unsupervised and semi-supervised machine learning algorithms that enable computers to use existing content such as text, audio and video files, images, and even code to create new organic content, such as marketing mails, social media advertisements, legal contracts, and musical symphonies. Generative AI allows computers to abstract the underlying patterns related to input data so that the machine learning model can generate new 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 component (solutions and services), deployment mode, generative model type, application, business function, organization size, verticals, 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 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 generative AI market
To analyze the impact of recession across all the regions across the 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: