Artificial Intelligence (AI) Toolkit Market

7500+ companies worldwide approach us every year for their revenue growth initiatives
Global top 2000 strategist rely on us for their growth strategies.
80% of fortune 2000 companies rely on our research to identify new revenue sources.
30000 High Growth Opportunities
95% renewal rate
KNOW MORE
  1. HOME
  2. Top Market Reports
  3. Artificial Intelligence (AI) Toolkit Market

Artificial Intelligence (AI) Toolkit Market by Offering (Hardware, Software, Services), Technology (Natural Language Processing, Machine Learning), Vertical (BFSI, Retail & eCommerce, Healthcare & Life Sciences) and Region - Global Forecast to 2028

FREE BROCHURE FREE SAMPLE REPORT
Report Code: TC 8830 Oct, 2023, by marketsandmarkets.com

[286 Pages Report] The AI Toolkit market is estimated at USD 19.5 billion in 2023 to USD 91.6 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 36.2%. The increased accessibility of high-performance hardware components such as GPUs and TPUs has significantly enhanced the efficiency of training and deploying sophisticated AI models. AI toolkits are purposefully engineered to harness this computational power to its fullest potential, facilitating faster model development and improved performance. This alignment of AI toolkits with potent hardware resources is a pivotal factor driving the expansion of the AI toolkit market, as it empowers developers and organizations to leverage cutting-edge AI capabilities for a broad spectrum of applications.

Artificial Intelligence (AI) Toolkit Market

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

Artificial Intelligence (AI) Toolkit Market

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

AI Toolkit Market Dynamics

Driver:  Growing adoption of AutoML to train high-quality models

AI technology has witnessed tremendous growth over the years. Hence, the demand for AI models and applications has also hiked. For developing accurate AI tool, it is important to use correct model architecture, collect proper data, and tune the model accordingly to fulfil desired key performance indicators (KPIs). Automated machine learning (AutoML) helps to automate the manual task of finding the best models and hyperparameters for the desired KPI. It can automatically find the best AI model for a specific goal and hide a lot of the complicated steps involved in creating and optimizing AI models. Various AI toolkits such as NVIDIA TAO offer AutoML feature that automatically optimizes the hyperparameters of a model, reducing the need for manual tuning. This contributes to the increasing adoption of AutoML for training and deploying high-quality models.

Restraint: Lack of standardization in AI toolkit market

The need for more standardization in the AI toolkit market poses a major challenge for businesses and developers. Each AI toolkit available in the market has its strengths and weaknesses. This makes it difficult for businesses to choose the right toolkit for their needs and for developers to learn and use different toolkits. Various factors contribute to the need for more standardization in the AI toolkits, including the rapid pace of innovation in AI, the diversity of AI applications, and the open-source nature of many AI toolkits. AI is constantly evolving, and new toolkits are always emerging. This makes it difficult for standards to be developed and adopted. AI is being used in various industries and applications, which has led to the development of various specialized AI toolkits. Many AI toolkits are open source, meaning they are developed and maintained by a community of volunteers. This makes it challenging to coordinate development and ensure compatibility between different toolkits. The lack of standardization in the AI toolkit market can have several negative consequences for businesses and developers, including increased costs, reduced productivity, and increased risk of errors.

Opportunity: Growth in data generated by IoT devices creating new opportunities

The automated power of AI is contributing to the adoption of intelligent IoT technologies, as organizations can extract insights from massive datasets collected by these devices. These insights enable organizations to create a holistic view of operations and business performance and use that data for launching new products and services in the market. IoT generates heaps of data, and this data offers new insights into organizational performance and health. AI helps businesses use the power of IoT by enabling prescriptive and predictive analytics to interpret data collected by sensors, trackers, and other input devices. These intelligent insights support preventive maintenance, improved decision-making, and forecasting leading to better customer service. For instance, in remote manufacturing sensors track production processes at different locations and send status updates to centralized facility that uses ML for monitoring machine health and reducing downtime occurring through failure prediction. AI plays an important role in addressing security issues faced during IoT implementations.

Challenge: Concerns related to AI transparency, explainability, and biases

The number of organizations adopting AI systems has increased. However, there have been ethical issues due to the black-box nature of AI systems. There are various interest groups across the world, including IEEE and ACM that have defined comprehensive ethical guidelines and principles to ensure responsible AI usage. Various established groups have developed AI ethical guidelines emphasizing transparency and explainability for developing AI systems. Organizations utilize different ML models and algorithms in the decision-making processes. Moreover, AI systems' outputs and decisions are usually difficult to understand and lack transparency. Even if an AI system is transparent, explaining how it reached a particular decision may not be easy. This makes it difficult to trust the system's decisions and identify and address potential biases. Sometimes, AI systems can be biased, reflecting the biases of the data they are trained on or the people who design them. This can lead to unfair and discriminatory outcomes. For instance, a facial recognition system biased against certain racial groups could lead to false arrests or other negative consequences. A medical diagnosis system that is biased against certain diseases or populations could lead to misdiagnoses and delays in treatment. It is important to address these concerns to ensure that AI systems are used responsibly and ethically.

AI Toolkit Market Ecosystem

Artificial Intelligence (AI) Toolkit Market

Prominent players in this market include well-established, financially stable AI toolkit solutions, services providers, and regulatory bodies. These companies have been operating in the market for several years and possess a diversified product portfolio and state-of-the-art technologies. Prominent companies in this market include Microsoft (US), Google (US), and Meta (US) and so on.

"By technology, Natural Language Processing (NLP) segment to hold the largest market size during the forecast period.

NLP serves as a driving force behind popular voice assistants such as Google assistant and Amazon Alexa contributing to the adoption of the AI toolkit market. These voice-activated services have become integral to homes and businesses, enhancing human-computer interaction, and providing voice-activated solutions for an array of tasks. As these voice assistants gain widespread adoption, the demand for AI toolkits equipped with robust NLP capabilities continues to surge. This trend not only expands the AI toolkit market but also promotes innovation in NLP technology, enabling more versatile and sophisticated voice-activated applications across various sectors, from smart homes to healthcare and customer service.

“Based on vertical, the Healthcare & Life Sciences segment is expected to register the fastest growth rate during the forecast period. “

AI toolkits play a pivotal role in advancing healthcare AI research by enabling the analysis of large-scale healthcare datasets, and this function serves as a significant driver for the AI toolkit market. In recent healthcare institutions and researchers are overwhelmed with an unprecedented volume of patient records, medical imaging, genomic data, and clinical notes due to inclusion of big data. AI toolkits empower healthcare AI research by efficiently processing and deciphering this vast pool of information. By leveraging machine learning algorithms and natural language processing, AI toolkits uncover hidden patterns, correlations, and insights that might elude human analysts. This not only expedites the pace of medical discoveries but also supports the development of more accurate diagnostics, treatment recommendations, and predictive healthcare models. As a result, the demand for AI toolkits in healthcare AI research continues to grow, fostering innovation and driving the expansion of the AI toolkit market.

North America is expected to hold the largest market size during the forecast period

Government support and funding play a crucial role in driving the AI toolkit market in North America. The commitment of governments in the region to AI research and development initiatives not only fosters innovation but also enhances competitiveness. Public investments in AI projects, research centers, and infrastructure create an ecosystem encouraging collaboration between academia, industry, and startups. This, in turn, fuels the development and adoption of AI toolkits, as they are the fundamental building blocks for AI innovation. The availability of resources and funding facilitates the exploration of new AI applications and the expansion of AI capabilities, making North America a global leader in AI technology and driving the growth of the AI toolkit market in the region.

Artificial Intelligence (AI) Toolkit Market Size, and Share

Market Players:

The major players in the AI Toolkit market are Microsoft (US), Google (US), IBM (US), Oracle (US), Thales Group (France), Salesforce (US), Intel (US), Adobe (US), Meta Platforms (US), AWS (US), NVIDIA Corporation (US), H2O.ai (US), Alteryx (US), Altair (US), KNIME (Switzerland), DataRobot (US), Jasper (US), Rasa (US), SuperAnnotate (US), OpenAI (US), Obviously AI (US), Fiddler AI (US), Determined AI (US), Snorkel AI (US), Levity AI (Germany), Union AI (US), Attri AI (US), Regie.ai (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches and enhancements, and acquisitions to expand their AI Toolkit market footprint.

Get online access to the report on the World's First Market Intelligence Cloud

  • Easy to Download Historical Data & Forecast Numbers
  • Company Analysis Dashboard for high growth potential opportunities
  • Research Analyst Access for customization & queries
  • Competitor Analysis with Interactive dashboard
  • Latest News, Updates & Trend analysis
Request Sample
Click on image to enlarge

Scope of the Report

Report Metrics

Details

Market size available for years

2017-2028

Base year considered

2022

Forecast period

2023–2028

Forecast units

Value (USD) Billion

Segments covered

Offering (Hardware, Software, Services), Technology, Vertical, and Region

Region covered

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

Companies covered

Microsoft (US), Google (US), IBM (US), Oracle (US), Thales Group (France), Salesforce (US), Intel (US), Adobe (US), Meta Platforms (US), AWS (US), NVIDIA Corporation (US), H2O.ai (US), Alteryx (US), Altair (US), KNIME (Switzerland), DataRobot (US), Jasper (US), Rasa (US), SuperAnnotate (US), OpenAI (US), Obviously AI (US), Fiddler AI (US), Determined AI (US), Snorkel AI (US), Levity AI (Germany), Union AI (US), Attri AI (US), Regie.ai (US)

This research report categorizes the AI Toolkit market to forecast revenues and analyze trends in each of the following submarkets:

Based on Offering:
  • Software
  • Hardware
    • Processors
    • Accelerators
    • Others (Memory and Networking Equipment)
  • Services
    • Professional Services
    • Managed Services
Based on Technology:
  • Natural Language Processing
  • Machine Learning
  • Computer Vision
  • Robotic Process Automation
Based on Vertical:
  • Banking, Financial Services, & Insurance (BFSI)
  • Retail & eCommerce
  • Healthcare & Life Sciences
  • Manufacturing
  • Telecom
  • IT & ITeS
  • Media & Entertainment
  • Energy & Utilities
  • Government & Defense
  • Automotive, Transportation, & Logistics
  • Other Verticals (Education, Travel & Hospitality, Construction & Real Estate, and Agriculture)
By Region:
  • North America
    • United States (US)
    • Canada
  • Europe
    • United Kingdom (UK)
    • Germany
    • France
    • Italy
    • Spain
    • Nordics
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia & New Zealand
    • Southeast Asia
    • Rest of Asia Pacific
  • Middle East & Africa
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America

Recent Developments

  • In September 2023, Infosys and NVIDIA expanded their existing collaboration to develop a generative AI platform to help enterprises increase productivity. The partnership offers a scalable platform using NVIDIA technology to enhance Infosys’ Responsible AI Toolkit.
  • In August 2023, IBM and Salesforce collaborated to assist businesses across various sectors in expediting their integration of AI into Customer Relationship Management. This collaboration empowers organizations to transform customer, partner, and employee interactions while ensuring the security of their data.
  • In July 2023, Microsoft and Meta partnered to support Large Language Models on Azure and Windows.

Frequently Asked Questions (FAQ):

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 29)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
    1.3 STUDY SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS CONSIDERED
           1.3.3 INCLUSIONS & EXCLUSIONS
    1.4 YEARS CONSIDERED 
    1.5 CURRENCY CONSIDERED 
           TABLE 1 USD EXCHANGE RATES, 2020–2022
    1.6 STAKEHOLDERS 
    1.7 RECESSION IMPACT 
 
2 RESEARCH METHODOLOGY (Page No. - 34)
    2.1 RESEARCH DATA 
           FIGURE 1 RESEARCH DESIGN
           2.1.1 SECONDARY DATA
                    2.1.1.1 Key data from secondary sources
           2.1.2 PRIMARY DATA
                    2.1.2.1 Primary interviews with experts
                    2.1.2.2 Breakdown of primary profiles
                               FIGURE 2 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY TYPE, DESIGNATION, AND REGION
                    2.1.2.3 Key data from primary sources
                    2.1.2.4 Key insights from industry experts
    2.2 MARKET SIZE ESTIMATION 
           FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1 (SUPPLY-SIDE): REVENUE OF OFFERINGS IN AI TOOLKIT MARKET
           FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2 (DEMAND-SIDE)
           FIGURE 5 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.2.1 TOP-DOWN APPROACH
           2.2.2 BOTTOM-UP APPROACH
                    FIGURE 6 MARKET SIZE ESTIMATION: BOTTOM-UP APPROACH
    2.3 DATA TRIANGULATION 
           FIGURE 7 DATA TRIANGULATION
    2.4 RISK ASSESSMENT 
           TABLE 2 RISK ASSESSMENT
    2.5 RESEARCH ASSUMPTIONS 
           TABLE 3 RESEARCH ASSUMPTIONS
    2.6 STUDY LIMITATIONS 
    2.7 IMPLICATIONS OF RECESSION ON AI TOOLKIT MARKET 
 
3 EXECUTIVE SUMMARY (Page No. - 44)
    FIGURE 8 MARKET TO WITNESS SIGNIFICANT GROWTH DURING FORECAST PERIOD 
    FIGURE 9 MARKET: REGIONAL SNAPSHOT 
 
4 PREMIUM INSIGHTS (Page No. - 47)
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI TOOLKIT MARKET 
           FIGURE 10 RISING TECHNOLOGICAL ADVANCEMENTS AND INCREASING GOVERNMENT SUPPORT TO DRIVE MARKET
    4.2 MARKET: MAJOR SEGMENTS 
           FIGURE 11 MAJOR SEGMENTS IN MARKET
    4.3 MARKET, BY OFFERING 
           FIGURE 12 SOFTWARE SEGMENT TO LEAD MARKET IN 2023
    4.4 MARKET, BY SERVICE 
           FIGURE 13 MANAGED SERVICES SEGMENT TO ACHIEVE HIGHER GROWTH DURING FORECAST PERIOD
    4.5 MARKET, BY VERTICAL 
           FIGURE 14 BFSI SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
    4.6 NORTH AMERICA: MARKET, BY COUNTRY AND KEY VERTICAL 
           FIGURE 15 US AND BFSI SEGMENT TO ACCOUNT FOR SIGNIFICANT SHARE IN 2023
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 50)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 16 AI TOOLKIT MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
           5.2.1 DRIVERS
                    5.2.1.1 Evolution of language model concept in AI
                    5.2.1.2 Growing adoption of AutoML to train high-quality models
                    5.2.1.3 Need to accelerate end-to-end ML and data science pipelines using optimized deep learning frameworks
           5.2.2 RESTRAINTS
                    5.2.2.1 Lack of skilled AI professionals
                    5.2.2.2 Lack of standardization in market
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Growth in data generated by IoT devices
                    5.2.3.2 Market penetration of AI toolkit vendors into healthcare and financial services sectors
           5.2.4 CHALLENGES
                    5.2.4.1 Concerns related to AI transparency and explainability
                    5.2.4.2 Security and privacy concerns
    5.3 INDUSTRY TRENDS 
           5.3.1 EVOLUTION OF ARTIFICIAL INTELLIGENCE TECHNOLOGY
                    5.3.1.1 Milestones of Artificial Intelligence
                               FIGURE 17 MILESTONES OF ARTIFICIAL INTELLIGENCE
           5.3.2 ECOSYSTEM ANALYSIS
                    FIGURE 18 ECOSYSTEM MAP
                    TABLE 4 ROLE OF PLAYERS IN MARKET ECOSYSTEM
           5.3.3 CASE STUDY ANALYSIS
                    5.3.3.1 CarMax deployed Microsoft’s Azure OpenAI Service to ensure data security and compliance
                    5.3.3.2 Trifork employed NVIDIA’s DeepStream and Jetson Xavier AGX to optimize baggage handling at airports
                    5.3.3.3 Obviously AI offered its accurate revenue predictions to provide organizations with valuable insights for better decision-making
                    5.3.3.4 2X implemented Jasper’s multifaceted functionality to offer personalized experience to content team
                    5.3.3.5 Obviously AI’s precise sales predictions empowered organizations to allocate resources and make data-driven choices
           5.3.4 VALUE CHAIN ANALYSIS
                    FIGURE 19 VALUE CHAIN ANALYSIS
           5.3.5 TARIFF AND REGULATORY LANDSCAPE
                    5.3.5.1 Tariff related to electronic integrated circuits and microassemblies
                               TABLE 5 TARIFF RELATED TO ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS
                    5.3.5.2 Regulatory bodies, government agencies, and other organizations
                               TABLE 6 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                               TABLE 7 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                               TABLE 8 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                               TABLE 9 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                               5.3.5.2.1 North America
                                             5.3.5.2.1.1 US
                                             5.3.5.2.1.2 Canada
                               5.3.5.2.2 Europe
                               5.3.5.2.3 Asia Pacific
                                             5.3.5.2.3.1 South Korea
                                             5.3.5.2.3.2 China
                                             5.3.5.2.3.3 India
                               5.3.5.2.4 Middle East & Africa
                                             5.3.5.2.4.1 UAE
                                             5.3.5.2.4.2 KSA
                                             5.3.5.2.4.3 Bahrain
                               5.3.5.2.5 Latin America
                                             5.3.5.2.5.1 Brazil
                                             5.3.5.2.5.2 Mexico
           5.3.6 PRICING ANALYSIS
                    5.3.6.1 Average selling price trends for key players, by billing cycle
                               TABLE 10 AVERAGE SELLING PRICE TRENDS FOR KEY PLAYERS, BY BILLING CYCLE (USD)
                    5.3.6.2 Indicative pricing analysis for key players
                               TABLE 11 INDICATIVE PRICING ANALYSIS FOR KEY PLAYERS, BY AI TOOLKIT SOFTWARE (USD)
           5.3.7 PATENT ANALYSIS
                    5.3.7.1 Methodology
                               TABLE 12 PATENTS FILED, 2021–2023
                    5.3.7.2 Innovation and patent applications
                               FIGURE 20 NUMBER OF PATENTS GRANTED ANNUALLY, 2021–2023
                               5.3.7.2.1 Top applicants
                               FIGURE 21 TOP TEN PATENT APPLICANTS WITH HIGHEST NUMBER OF APPLICATIONS, 2021–2023
                               TABLE 13 PATENTS GRANTED IN AI TOOLKIT MARKET, 2021–2023
           5.3.8 PORTER’S FIVE FORCES ANALYSIS
                    TABLE 14 IMPACT OF PORTER’S FIVE FORCES ON MARKET
                    5.3.8.1 Threat of new entrants
                    5.3.8.2 Threat of substitutes
                    5.3.8.3 Bargaining power of buyers
                    5.3.8.4 Bargaining power of suppliers
                    5.3.8.5 Intensity of competitive rivalry
           5.3.9 KEY STAKEHOLDERS & BUYING CRITERIA
                    5.3.9.1 Key stakeholders in buying process
                               FIGURE 22 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
                               TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
                    5.3.9.2 Buying criteria
                               FIGURE 23 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
                               TABLE 16 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
           5.3.10 KEY CONFERENCES & EVENTS
                    TABLE 17 LIST OF CONFERENCES & EVENTS, 2023–2024
           5.3.11 TRENDS AND DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
                    FIGURE 24 TRENDS AND DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
           5.3.12 HS CODES: ELECTRONIC INTEGRATED CIRCUITS AND MICROASSEMBLIES (8542)
                    5.3.12.1 Export scenario for HS Code: 8542
                               FIGURE 25 EXPORT VALUE OF ELECTRONIC INTEGRATED CIRCUITS AND MICROASSEMBLIES, BY KEY COUNTRY, 2015–2022 (USD BILLION)
                    5.3.12.2 Import scenario for HS Code: 8542
                               FIGURE 26 IMPORT VALUE OF ELECTRONIC INTEGRATED CIRCUITS AND MICROASSEMBLIES, BY KEY COUNTRY, 2015–2022 (USD BILLION)
           5.3.13 BEST PRACTICES IN AI TOOLKIT MARKET
                    5.3.13.1 User-friendly interfaces
                    5.3.13.2 Comprehensive documentation
                    5.3.13.3 Training and support
                    5.3.13.4 Sample code and use cases
                    5.3.13.5 Data privacy and security
           5.3.14 AI TOOLKIT MARKET: CURRENT AND EMERGING BUSINESS MODELS
                    5.3.14.1 Open-source software
                    5.3.14.2 Subscription-based services
                    5.3.14.3 Pay-per-use or consumption-based pricing
                    5.3.14.4 Enterprise licensing
                    5.3.14.5 Platform-as-a-Service
                    5.3.14.6 AI-as-a-Service
           5.3.15 AI TOOLKIT TOOLS, FRAMEWORKS, AND TECHNIQUES
                    5.3.15.1 AI toolkit tools
                               5.3.15.1.1 Data labeling tools
                               5.3.15.1.2 Data preparation tools
                               5.3.15.1.3 Automated machine learning tools
                    5.3.15.2 AI toolkit frameworks
                               5.3.15.2.1 TensorFlow
                               5.3.15.2.2 PyTorch
                               5.3.15.2.3 Keras
                               5.3.15.2.4 Scikit-learn
                    5.3.15.3 AI toolkit techniques
                               5.3.15.3.1 Supervised learning
                               5.3.15.3.2 Unsupervised learning
                               5.3.15.3.3 Reinforcement learning
           5.3.16 TECHNOLOGY ANALYSIS
                    5.3.16.1 Key technologies
                               5.3.16.1.1 Machine Learning
                               5.3.16.1.2 Deep Learning
                               5.3.16.1.3 Natural Language Processing (NLP)
                               5.3.16.1.4 Generative Models
                    5.3.16.2 Complementary technologies
                               5.3.16.2.1 Big Data Technologies
                               5.3.16.2.2 Cloud Computing
                    5.3.16.3 Adjacent technologies
                               5.3.16.3.1 Edge Computing
                               5.3.16.3.2 Blockchain
           5.3.17 FUTURE LANDSCAPE OF AI TOOLKIT MARKET
                    5.3.17.1 AI toolkit technology roadmap till 2030
                               5.3.17.1.1 Short-term roadmap (2023–2025)
                               5.3.17.1.2 Mid-term roadmap (2026–2028)
                               5.3.17.1.3 Long-term roadmap (2029–2030)
           5.3.18 ETHICS OF AI TOOLKIT DEVELOPMENT
                    5.3.18.1 Fairness and biases
                    5.3.18.2 Privacy and security
                    5.3.18.3 Accountability and transparency
 
6 AI TOOLKIT MARKET, BY OFFERING (Page No. - 87)
    6.1 INTRODUCTION 
           FIGURE 27 SERVICES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
           6.1.1 OFFERINGS: MARKET DRIVERS
           TABLE 18 MARKET, BY OFFERING, 2017–2022 (USD MILLION)
           TABLE 19 MARKET, BY OFFERING, 2023–2028 (USD MILLION)
    6.2 SOFTWARE 
           6.2.1 NEED FOR CUSTOMIZABLE AND USER-FRIENDLY SOFTWARE-BASED SOLUTIONS TO DRIVE MARKET
                    TABLE 20 SOFTWARE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 21 SOFTWARE: MARKET, BY REGION, 2023–2028 (USD MILLION)
    6.3 HARDWARE 
           TABLE 22 HARDWARE: MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 23 HARDWARE: MARKET, BY REGION, 2023–2028 (USD MILLION)
           TABLE 24 MARKET, BY HARDWARE TYPE, 2017–2022 (USD MILLION)
           TABLE 25 MARKET, BY HARDWARE TYPE, 2023–2028 (USD MILLION)
           6.3.1 PROCESSORS
                    6.3.1.1 Demand for high-end processors to support growth of MARKET
                               TABLE 26 PROCESSORS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 27 PROCESSORS: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.3.2 ACCELERATORS
                    6.3.2.1 Focus on enhancing performance and efficiency of AI applications to drive need for accelerators
                               TABLE 28 ACCELERATORS: AI TOOLKIT MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 29 ACCELERATORS: MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.3.2.2 Graphics processing units (GPUs)
                    6.3.2.3 Tensor processing units
                    6.3.2.4 Field programmable processing units
                    6.3.2.5 Neuromorphic chips
           6.3.3 OTHER HARDWARE TYPES
                    TABLE 30 OTHER HARDWARE TYPES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 31 OTHER HARDWARE TYPES: MARKET, BY REGION, 2023–2028 (USD MILLION)
    6.4 SERVICES 
           TABLE 32 SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 33 SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           TABLE 34 MARKET, BY SERVICE, 2017–2022 (USD MILLION)
           TABLE 35 MARKET, BY SERVICE, 2023–2028 (USD MILLION)
           6.4.1 PROFESSIONAL SERVICES
                    TABLE 36 PROFESSIONAL SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 37 PROFESSIONAL SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
                    TABLE 38 MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                    TABLE 39 MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                    6.4.1.1 Consulting
                               6.4.1.1.1 Demand for expert guidance and strategic direction to drive need for consulting services
                               TABLE 40 CONSULTING: AI TOOLKIT MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 41 CONSULTING: MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.4.1.2 Deployment & integration
                               6.4.1.2.1 Rising emphasis on effective implementation and utilization of AI solutions to spur growth of deployment and integration services
                               TABLE 42 DEPLOYMENT & INTEGRATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 43 DEPLOYMENT & INTEGRATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.4.1.3 Support & maintenance
                               6.4.1.3.1 Support and maintenance services ensure continued functionality, reliability, and effectiveness of AI systems and solutions
                               TABLE 44 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 45 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.4.2 MANAGED SERVICES
                    6.4.2.1 Focus on establishing nimble and agile approach to AI implementation to drive growth of managed services
                               TABLE 46 MANAGED SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 47 MANAGED SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
7 AI TOOLKIT MARKET, BY TECHNOLOGY (Page No. - 103)
    7.1 INTRODUCTION 
           FIGURE 28 COMPUTER VISION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
           7.1.1 TECHNOLOGIES: MARKET DRIVERS
                    TABLE 48 MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                    TABLE 49 MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
    7.2 NATURAL LANGUAGE PROCESSING 
           7.2.1 NATURAL LANGUAGE PROCESSING TOOLS FACILITATE INTERACTION BETWEEN COMPUTERS AND HUMAN LANGUAGE
                    TABLE 50 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 51 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.3 MACHINE LEARNING 
           7.3.1 NEED TO FACILITATE PREDICTIVE ANALYTICS AND DATA-DRIVEN DECISION-MAKING TO DRIVE MARKET
                    TABLE 52 MACHINE LEARNING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 53 MACHINE LEARNING: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.4 COMPUTER VISION 
           7.4.1 COMPUTER VISION TOOLS ENABLE MACHINES TO INTERPRET AND ANALYZE IMAGES AND VIDEOS
                    TABLE 54 COMPUTER VISION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 55 COMPUTER VISION: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.5 ROBOTIC PROCESS AUTOMATION 
           7.5.1 NEED FOR EFFECTIVE DECISION-MAKING PROCESSES IN EXECUTION OF REPETITIVE AND RULE-BASED TASKS TO SPUR GROWTH
                    TABLE 56 ROBOTIC PROCESS AUTOMATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 57 ROBOTIC PROCESS AUTOMATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
8 AI TOOLKIT MARKET, BY VERTICAL (Page No. - 111)
    8.1 INTRODUCTION 
           FIGURE 29 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
           8.1.1 VERTICALS: MARKET DRIVERS
                    TABLE 58 MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                    TABLE 59 MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
    8.2 BFSI 
           8.2.1 GROWTH OF FRAUDULENT ACTIVITIES IN BFSI SECTOR TO DRIVE DEMAND FOR AI TOOLKITS
           8.2.2 USE CASES
                    8.2.2.1 Fraud detection & prevention
                    8.2.2.2 Risk assessment
                               TABLE 60 BFSI: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 61 BFSI: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.3 RETAIL & ECOMMERCE 
           8.3.1 AI HELPS TRACK SALES AND PROCESSING DATA TO FORMULATE STRATEGIES IN RETAIL & ECOMMERCE SECTOR
           8.3.2 USE CASES
                    8.3.2.1 Pricing optimization
                    8.3.2.2 Visual search
                               TABLE 62 RETAIL & ECOMMERCE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 63 RETAIL & ECOMMERCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.4 HEALTHCARE & LIFE SCIENCES 
           8.4.1 AI TOOLKITS OFFER ROBUST ARSENAL OF TOOLS AND TECHNOLOGIES THAT RESHAPE DELIVERY OF HEALTHCARE SERVICES
           8.4.2 USE CASES
                    8.4.2.1 Medical imaging analysis
                    8.4.2.2 Drug discovery and development
                               TABLE 64 HEALTHCARE & LIFE SCIENCES: AI TOOLKIT MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 65 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.5 MANUFACTURING 
           8.5.1 DEMAND FOR DEPLOYMENT OF AI-ENHANCED QUALITY CONTROL SYSTEMS IN MANUFACTURING SECTOR TO DRIVE POPULARITY OF AI TOOLKITS
           8.5.2 USE CASES
                    8.5.2.1 Production scheduling
                    8.5.2.2 Product design and prototyping
                               TABLE 66 MANUFACTURING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 67 MANUFACTURING: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.6 TELECOM 
           8.6.1 AI-BASED AUTOMATED BILLING AND CHATBOTS TRANSFORM TRADITIONAL PROCESSES IN TELECOM SECTOR
           8.6.2 USE CASES
                    8.6.2.1 Automated billing and invoicing
                    8.6.2.2 Network planning and expansion
                               TABLE 68 TELECOM: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 69 TELECOM: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.7 IT & ITES 
           8.7.1 AI-DRIVEN SOLUTIONS AUTONOMOUSLY MONITOR HEALTH OF SERVERS, NETWORKS, AND DATA CENTERS
           8.7.2 USE CASES
                    8.7.2.1 IT asset management
                    8.7.2.2 Project management
                               TABLE 70 IT & ITES: AI TOOLKIT MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 71 IT & ITES: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.8 MEDIA & ENTERTAINMENT 
           8.8.1 NEED FOR ACCURATE CONTENT RECOMMENDATION AND PERSONALIZATION TO BOOST ADOPTION OF AI TOOLKITS IN MEDIA & ENTERTAINMENT SECTOR
           8.8.2 USE CASES
                    8.8.2.1 Content recommendation
                    8.8.2.2 Content moderation
                               TABLE 72 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 73 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.9 ENERGY & UTILITIES 
           8.9.1 AI TOOLKITS HELP ENERGY AND UTILITY COMPANIES MEET DEMAND FOR SUSTAINABILITY AND OPERATIONAL EFFICIENCY
           8.9.2 USE CASES
                    8.9.2.1 Energy storage optimization
                    8.9.2.2 Grid anomaly detection
                               TABLE 74 ENERGY & UTILITIES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 75 ENERGY & UTILITIES: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.10 GOVERNMENT & DEFENSE 
           8.10.1 INNOVATION, EFFICIENCY, AND SECURITY ACROSS AREAS OF PUBLIC ADMINISTRATION AND NATIONAL DEFENSE TO SPUR GROWTH
           8.10.2 USE CASES
                    8.10.2.1 Document analysis
                    8.10.2.2 Government services automation
                               TABLE 76 GOVERNMENT & DEFENSE: AI TOOLKIT MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 77 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.11 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS 
           8.11.1 FOCUS ON ENHANCING EFFICIENCY, SAFETY, AND SUSTAINABILITY ACROSS SUPPLY CHAIN OPERATIONS TO PROPEL MARKET GROWTH
           8.11.2 USE CASES
                    8.11.2.1 Driver assistance systems
                    8.11.2.2 Autonomous vehicles
                               TABLE 78 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 79 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.12 OTHER VERTICALS 
           8.12.1 USE CASES
                    8.12.1.1 Automated grading
                    8.12.1.2 Safety compliance
                    8.12.1.3 Precision farming
                    8.12.1.4 Language translation
                               TABLE 80 OTHER VERTICALS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 81 OTHER VERTICALS: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
9 AI TOOLKIT MARKET, BY REGION (Page No. - 131)
    9.1 INTRODUCTION 
           TABLE 82 MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 83 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 30 NORTH AMERICA: MARKET SNAPSHOT
                    TABLE 84 NORTH AMERICA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 85 NORTH AMERICA: AI TOOLKIT MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                    TABLE 86 NORTH AMERICA: MARKET, BY HARDWARE TYPE, 2017–2022 (USD MILLION)
                    TABLE 87 NORTH AMERICA: MARKET, BY HARDWARE TYPE, 2023–2028 (USD MILLION)
                    TABLE 88 NORTH AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                    TABLE 89 NORTH AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                    TABLE 90 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                    TABLE 91 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                    TABLE 92 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                    TABLE 93 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                    TABLE 94 NORTH AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                    TABLE 95 NORTH AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                    TABLE 96 NORTH AMERICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                    TABLE 97 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
           9.2.3 US
                    9.2.3.1 Robust growth of AI toolkit ecosystem to drive market
                               TABLE 98 US: AI TOOLKIT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                               TABLE 99 US: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                               TABLE 100 US: MARKET, BY HARDWARE TYPE, 2017–2022 (USD MILLION)
                               TABLE 101 US: MARKET, BY HARDWARE TYPE, 2023–2028 (USD MILLION)
                               TABLE 102 US: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                               TABLE 103 US: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                               TABLE 104 US: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                               TABLE 105 US: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                               TABLE 106 US: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                               TABLE 107 US: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                               TABLE 108 US: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                               TABLE 109 US: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
           9.2.4 CANADA
                    9.2.4.1 Rising government initiatives to support rapidly evolving AI technology to facilitate market growth
                               TABLE 110 CANADA: AI TOOLKIT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                               TABLE 111 CANADA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                               TABLE 112 CANADA: MARKET, BY HARDWARE TYPE, 2017–2022 (USD MILLION)
                               TABLE 113 CANADA: MARKET, BY HARDWARE TYPE, 2023–2028 (USD MILLION)
                               TABLE 114 CANADA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                               TABLE 115 CANADA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                               TABLE 116 CANADA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                               TABLE 117 CANADA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                               TABLE 118 CANADA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                               TABLE 119 CANADA: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                               TABLE 120 CANADA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                               TABLE 121 CANADA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
    9.3 EUROPE 
           9.3.1 EUROPE: MARKET DRIVERS
           9.3.2 EUROPE: RECESSION IMPACT
                    TABLE 122 EUROPE: AI TOOLKIT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 123 EUROPE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                    TABLE 124 EUROPE: MARKET, BY HARDWARE TYPE, 2017–2022 (USD MILLION)
                    TABLE 125 EUROPE: MARKET, BY HARDWARE TYPE, 2023–2028 (USD MILLION)
                    TABLE 126 EUROPE: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                    TABLE 127 EUROPE: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                    TABLE 128 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                    TABLE 129 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                    TABLE 130 EUROPE: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                    TABLE 131 EUROPE: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                    TABLE 132 EUROPE: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                    TABLE 133 EUROPE: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                    TABLE 134 EUROPE: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                    TABLE 135 EUROPE: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
           9.3.3 UK
                    9.3.3.1 Increasing government funding in artificial intelligence to drive market
                               TABLE 136 UK: AI TOOLKIT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                               TABLE 137 UK: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                               TABLE 138 UK: MARKET, BY HARDWARE TYPE, 2017–2022 (USD MILLION)
                               TABLE 139 UK: MARKET, BY HARDWARE TYPE, 2023–2028 (USD MILLION)
                               TABLE 140 UK: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                               TABLE 141 UK: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                               TABLE 142 UK: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                               TABLE 143 UK: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                               TABLE 144 UK: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                               TABLE 145 UK: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                               TABLE 146 UK: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                               TABLE 147 UK: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
           9.3.4 GERMANY
                    9.3.4.1 Strong emphasis on innovation and technology to boost adoption of AI toolkits
           9.3.5 FRANCE
                    9.3.5.1 Need for use of advanced solutions to deal with climate change and societal issues to drive popularity of advanced AI toolkits
           9.3.6 ITALY
                    9.3.6.1 Rising government initiatives to boost development and competitiveness of AI to drive market
                               TABLE 148 ITALY: AI TOOLKIT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                               TABLE 149 ITALY: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                               TABLE 150 ITALY: MARKET, BY HARDWARE TYPE, 2017–2022 (USD MILLION)
                               TABLE 151 ITALY: MARKET, BY HARDWARE TYPE, 2023–2028 (USD MILLION)
                               TABLE 152 ITALY: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                               TABLE 153 ITALY: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                               TABLE 154 ITALY: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                               TABLE 155 ITALY: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                               TABLE 156 ITALY: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                               TABLE 157 ITALY: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                               TABLE 158 ITALY: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                               TABLE 159 ITALY: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
           9.3.7 SPAIN
                    9.3.7.1 Growing deployment of AI technologies across public and private sectors to drive growth
           9.3.8 NORDICS
                    9.3.8.1 Tech-savvy population and robust investment in technology companies to drive market
           9.3.9 REST OF EUROPE
    9.4 ASIA PACIFIC 
           9.4.1 ASIA PACIFIC: MARKET DRIVERS
           9.4.2 ASIA PACIFIC: RECESSION IMPACT
                    FIGURE 31 ASIA PACIFIC: MARKET SNAPSHOT
                    TABLE 160 ASIA PACIFIC: AI TOOLKIT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 161 ASIA PACIFIC: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                    TABLE 162 ASIA PACIFIC: MARKET, BY HARDWARE TYPE, 2017–2022 (USD MILLION)
                    TABLE 163 ASIA PACIFIC: MARKET, BY HARDWARE TYPE, 2023–2028 (USD MILLION)
                    TABLE 164 ASIA PACIFIC: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                    TABLE 165 ASIA PACIFIC: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                    TABLE 166 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                    TABLE 167 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                    TABLE 168 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                    TABLE 169 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                    TABLE 170 ASIA PACIFIC: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                    TABLE 171 ASIA PACIFIC: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                    TABLE 172 ASIA PACIFIC: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                    TABLE 173 ASIA PACIFIC: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
           9.4.3 CHINA
                    9.4.3.1 Need for nurturing domestic AI capabilities and promoting global expansion of Chinese tech companies to spur market
                               TABLE 174 CHINA: AI TOOLKIT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                               TABLE 175 CHINA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                               TABLE 176 CHINA: MARKET, BY HARDWARE TYPE, 2017–2022 (USD MILLION)
                               TABLE 177 CHINA: MARKET, BY HARDWARE TYPE, 2023–2028 (USD MILLION)
                               TABLE 178 CHINA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                               TABLE 179 CHINA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                               TABLE 180 CHINA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                               TABLE 181 CHINA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                               TABLE 182 CHINA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                               TABLE 183 CHINA: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                               TABLE 184 CHINA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                               TABLE 185 CHINA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
           9.4.4 INDIA
                    9.4.4.1 Rising emphasis on driving innovation, enhancing productivity, and transforming industries to boost popularity of AI-driven toolkits
           9.4.5 JAPAN
                    9.4.5.1 Need for adequate utilization of data-driven AI across domains to spur market
           9.4.6 AUSTRALIA & NEW ZEALAND
                    9.4.6.1 Increasing application of AI technology in cybersecurity and farming to drive market
           9.4.7 SOUTH KOREA
                    9.4.7.1 Emphasis on developing robust digital strategies to encourage market expansion
           9.4.8 SOUTHEAST ASIA
                    9.4.8.1 Recognition of transformative potential of AI to boost use of AI toolkits
           9.4.9 REST OF ASIA PACIFIC
    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: AI TOOLKIT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 187 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                    TABLE 188 MIDDLE EAST & AFRICA: MARKET, BY HARDWARE TYPE, 2017–2022 (USD MILLION)
                    TABLE 189 MIDDLE EAST & AFRICA: MARKET, BY HARDWARE TYPE, 2023–2028 (USD MILLION)
                    TABLE 190 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                    TABLE 191 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                    TABLE 192 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                    TABLE 193 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                    TABLE 194 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                    TABLE 195 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                    TABLE 196 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                    TABLE 197 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                    TABLE 198 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY/REGION, 2017–2022 (USD MILLION)
                    TABLE 199 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY/REGION, 2023–2028 (USD MILLION)
           9.5.3 GCC COUNTRIES
                    9.5.3.1 Strong partnerships between public and private players to implement AI technology across crucial sectors to drive market
                               TABLE 200 GCC COUNTRIES: AI TOOLKIT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                               TABLE 201 GCC COUNTRIES: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                               TABLE 202 GCC COUNTRIES: MARKET, BY HARDWARE TYPE, 2017–2022 (USD MILLION)
                               TABLE 203 GCC COUNTRIES: MARKET, BY HARDWARE TYPE, 2023–2028 (USD MILLION)
                               TABLE 204 GCC COUNTRIES: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                               TABLE 205 GCC COUNTRIES: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                               TABLE 206 GCC COUNTRIES: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                               TABLE 207 GCC COUNTRIES: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                               TABLE 208 GCC COUNTRIES: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                               TABLE 209 GCC COUNTRIES: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                               TABLE 210 GCC COUNTRIES: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                               TABLE 211 GCC COUNTRIES: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
           9.5.4 SOUTH AFRICA
                    9.5.4.1 Rising focus on enhancing global health equitably for betterment of healthcare to offer opportunities for players to leverage AI technology
           9.5.5 REST OF MIDDLE EAST & AFRICA
    9.6 LATIN AMERICA 
           9.6.1 LATIN AMERICA: MARKET DRIVERS
           9.6.2 LATIN AMERICA: RECESSION IMPACT
                    TABLE 212 LATIN AMERICA: AI TOOLKIT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 213 LATIN AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                    TABLE 214 LATIN AMERICA: MARKET, BY HARDWARE TYPE, 2017–2022 (USD MILLION)
                    TABLE 215 LATIN AMERICA: MARKET, BY HARDWARE TYPE, 2023–2028 (USD MILLION)
                    TABLE 216 LATIN AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                    TABLE 217 LATIN AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                    TABLE 218 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                    TABLE 219 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                    TABLE 220 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                    TABLE 221 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                    TABLE 222 LATIN AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                    TABLE 223 LATIN AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                    TABLE 224 LATIN AMERICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                    TABLE 225 LATIN AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
           9.6.3 BRAZIL
                    9.6.3.1 Implementation of AI and ML technologies in enterprise-level operations to foster market growth
                               TABLE 226 BRAZIL: AI TOOLKIT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                               TABLE 227 BRAZIL: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                               TABLE 228 BRAZIL: MARKET, BY HARDWARE TYPE, 2017–2022 (USD MILLION)
                               TABLE 229 BRAZIL: MARKET, BY HARDWARE TYPE, 2023–2028 (USD MILLION)
                               TABLE 230 BRAZIL: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                               TABLE 231 BRAZIL: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                               TABLE 232 BRAZIL: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                               TABLE 233 BRAZIL: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                               TABLE 234 BRAZIL: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                               TABLE 235 BRAZIL: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                               TABLE 236 BRAZIL: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                               TABLE 237 BRAZIL: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
           9.6.4 MEXICO
                    9.6.4.1 Special focus on governance, government services, and data infrastructure to boost popularity of AI-driven toolkits
           9.6.5 REST OF LATIN AMERICA
 
10 COMPETITIVE LANDSCAPE (Page No. - 197)
     10.1 INTRODUCTION 
     10.2 STRATEGIES ADOPTED BY KEY PLAYERS 
               TABLE 238 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS
     10.3 HISTORICAL REVENUE ANALYSIS FOR KEY PLAYERS 
               FIGURE 32 HISTORICAL REVENUE ANALYSIS FOR KEY PLAYERS, 2020–2022 (USD MILLION)
     10.4 MARKET SHARE ANALYSIS FOR KEY PLAYERS 
               TABLE 239 AI TOOLKIT MARKET: INTENSITY OF COMPETITIVE RIVALRY
     10.5 COMPANY EVALUATION MATRIX FOR KEY PLAYERS 
             10.5.1 STARS
             10.5.2 EMERGING LEADERS
             10.5.3 PERVASIVE PLAYERS
             10.5.4 PARTICIPANTS
                       FIGURE 33 COMPANY EVALUATION MATRIX FOR KEY PLAYERS, 2023
             10.5.5 COMPANY FOOTPRINT
                       TABLE 240 COMPANY OVERALL FOOTPRINT
                       TABLE 241 COMPANY FOOTPRINT, BY OFFERING
                       TABLE 242 COMPANY FOOTPRINT, BY KEY VERTICAL
                       TABLE 243 COMPANY FOOTPRINT, BY REGION
     10.6 START-UP/SME EVALUATION MATRIX 
             10.6.1 PROGRESSIVE COMPANIES
             10.6.2 RESPONSIVE COMPANIES
             10.6.3 DYNAMIC COMPANIES
             10.6.4 STARTING BLOCKS
                       FIGURE 34 START-UP/SME EVALUATION MATRIX, 2023
             10.6.5 COMPETITIVE BENCHMARKING
                       TABLE 244 DETAILED LIST OF START-UPS/SMES
                       TABLE 245 COMPETITIVE BENCHMARKING OF START-UPS/SMES
     10.7 COMPETITIVE SCENARIO AND TRENDS 
             10.7.1 PRODUCT LAUNCHES
                       TABLE 246 MARKET: PRODUCT LAUNCHES, 2021–2023
             10.7.2 DEALS
                       TABLE 247 AI TOOLKIT MARKET: DEALS, 2022–2023
     10.8 AI TOOLKIT PRODUCT BENCHMARKING 
             10.8.1 PROMINENT AI TOOLKIT SOLUTIONS
                       TABLE 248 COMPARATIVE ANALYSIS OF PROMINENT AI TOOLKITS
                       10.8.1.1 Salesforce Einstein
                       10.8.1.2 Vertex AI
                       10.8.1.3 Adobe Firefly
                       10.8.1.4 IBM Watsonx
                       10.8.1.5 Regie.ai
     10.9 VALUATION AND FINANCIAL METRICS OF KEY AI TOOLKIT VENDORS 
               FIGURE 35 VALUATION AND FINANCIAL METRICS OF KEY AI TOOLKIT VENDORS
 
11 COMPANY PROFILES (Page No. - 212)
     11.1 KEY PLAYERS 
(Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View)*
             11.1.1 NVIDIA CORPORATION
                       TABLE 249 NVIDIA CORPORATION: COMPANY OVERVIEW
                       FIGURE 36 NVIDIA CORPORATION: COMPANY SNAPSHOT
                       TABLE 250 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 251 NVIDIA CORPORATION: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 252 NVIDIA CORPORATION: DEALS
             11.1.2 META
                       TABLE 253 META: COMPANY OVERVIEW
                       FIGURE 37 META: COMPANY SNAPSHOT
                       TABLE 254 META: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 255 META: DEALS
             11.1.3 MICROSOFT
                       TABLE 256 MICROSOFT: COMPANY OVERVIEW
                       FIGURE 38 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 257 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 258 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 259 MICROSOFT: DEALS
             11.1.4 IBM
                       TABLE 260 IBM: COMPANY OVERVIEW
                       FIGURE 39 IBM: COMPANY SNAPSHOT
                       TABLE 261 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 262 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 263 IBM: DEALS
             11.1.5 GOOGLE
                       TABLE 264 GOOGLE: COMPANY OVERVIEW
                       FIGURE 40 GOOGLE: COMPANY SNAPSHOT
                       TABLE 265 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 266 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 267 GOOGLE: DEALS
             11.1.6 THALES GROUP
                       TABLE 268 THALES GROUP: COMPANY OVERVIEW
                       FIGURE 41 THALES GROUP: COMPANY SNAPSHOT
                       TABLE 269 THALES GROUP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 270 THALES GROUP: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 271 THALES GROUP: DEALS
             11.1.7 INTEL
                       TABLE 272 INTEL: COMPANY OVERVIEW
                       FIGURE 42 INTEL: COMPANY SNAPSHOT
                       TABLE 273 INTEL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 274 INTEL: DEALS
             11.1.8 ORACLE
                       TABLE 275 ORACLE: COMPANY OVERVIEW
                       FIGURE 43 ORACLE: COMPANY SNAPSHOT
                       TABLE 276 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 277 ORACLE: DEALS
             11.1.9 ADOBE
                       TABLE 278 ADOBE: COMPANY OVERVIEW
                       FIGURE 44 ADOBE: COMPANY SNAPSHOT
                       TABLE 279 ADOBE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 280 ADOBE: DEALS
             11.1.10 SALESFORCE
                       TABLE 281 SALESFORCE: COMPANY OVERVIEW
                       FIGURE 45 SALESFORCE: COMPANY SNAPSHOT
                       TABLE 282 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 283 SALESFORCE: DEALS
             11.1.11 H20.AI
             11.1.12 ALTERYX
             11.1.13 KNIME
             11.1.14 DATAROBOT
             11.1.15 ALTAIR
             11.1.16 ATTRI
             11.1.17 DETERMINED AI
             11.1.18 RASA
             11.1.19 OPENAI
*Details on Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View might not be captured in case of unlisted companies.
     11.2 START-UPS/SMES 
             11.2.1 JASPER
             11.2.2 SUPERANNOTATE
             11.2.3 OBVIOUSLY AI
             11.2.4 FIDDLER AI
             11.2.5 UNION.AI
             11.2.6 REGIE.AI
             11.2.7 SNORKEL AI
             11.2.8 LEVITY AI
 
12 ADJACENT AND RELATED MARKETS (Page No. - 263)
     12.1 INTRODUCTION 
     12.2 GENERATIVE AI MARKET 
             12.2.1 MARKET DEFINITION
             12.2.2 MARKET OVERVIEW
                       TABLE 284 GENERATIVE AI MARKET SIZE AND GROWTH RATE, 2019–2022 (USD MILLION, Y-O-Y)
                       TABLE 285 GENERATIVE AI MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y)
             12.2.3 GENERATIVE AI MARKET, BY OFFERING
                       TABLE 286 GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                       TABLE 287 GENERATIVE AI MARKET, BY OFFERING, 2023–2028 (USD MILLION)
             12.2.4 GENERATIVE AI MARKET, BY APPLICATION
                       TABLE 288 GENERATIVE AI MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
                       TABLE 289 GENERATIVE AI MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
             12.2.5 GENERATIVE AI MARKET, BY VERTICAL
                       TABLE 290 GENERATIVE AI MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
                       TABLE 291 GENERATIVE AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
             12.2.6 GENERATIVE AI MARKET, BY REGION
                       TABLE 292 GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                       TABLE 293 GENERATIVE AI MARKET, BY REGION, 2023–2028 (USD MILLION)
     12.3 CONVERSATIONAL AI MARKET 
             12.3.1 MARKET DEFINITION
             12.3.2 MARKET OVERVIEW
             12.3.3 CONVERSATIONAL AI MARKET, BY OFFERING
                       TABLE 294 CONVERSATIONAL AI MARKET, BY OFFERING, 2018–2022 (USD MILLION)
                       TABLE 295 CONVERSATIONAL AI MARKET BY OFFERING, 2023–2028 (USD MILLION)
             12.3.4 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION
                       TABLE 296 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2018–2022 (USD MILLION)
                       TABLE 297 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
             12.3.5 CONVERSATIONAL AI MARKET, BY CHANNEL
                       TABLE 298 CONVERSATIONAL AI MARKET, BY CHANNEL, 2018–2022 (USD MILLION)
                       TABLE 299 CONVERSATIONAL AI MARKET, BY CHANNEL, 2023–2028 (USD MILLION)
             12.3.6 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL INTERFACE
                       TABLE 300 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL INTERFACE, 2018–2022 (USD MILLION)
                       TABLE 301 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL INTERFACE, 2023–2028 (USD MILLION)
             12.3.7 CONVERSATIONAL AI MARKET, BY TECHNOLOGY
                       TABLE 302 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2018–2022 (USD MILLION)
                       TABLE 303 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
             12.3.8 CONVERSATIONAL AI MARKET, BY VERTICAL
                       TABLE 304 CONVERSATIONAL AI MARKET, BY VERTICAL, 2018–2022 (USD MILLION)
                       TABLE 305 CONVERSATIONAL AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
             12.3.9 CONVERSATIONAL AI MARKET, BY REGION
                       TABLE 306 CONVERSATIONAL AI MARKET, BY REGION, 2018–2022 (USD MILLION)
                       TABLE 307 CONVERSATIONAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
 
13 APPENDIX (Page No. - 277)
     13.1 DISCUSSION GUIDE 
     13.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     13.3 CUSTOMIZATION OPTIONS 
     13.4 RELATED REPORTS 
     13.5 AUTHOR DETAILS 

This research study involved the extensive use of secondary sources, directories, and databases, such as Dun & Bradstreet (D&B) Hoovers and Bloomberg BusinessWeek, to identify and collect information useful for a technical, market-oriented, and commercial study of the AI Toolkit market. The primary sources have been mainly industry experts from the core and related industries and preferred suppliers, manufacturers, distributors, service providers, technology developers, alliances, and organizations related to all segments of the value chain of this market. In-depth interviews have been conducted with various primary respondents, including key industry participants, subject matter experts, C-level executives of key market players, and industry consultants to obtain and verify critical qualitative and quantitative information.

Secondary Research

The market for companies offering AI Toolkit solutions and services to different verticals has been estimated and projected based on the secondary data made available through paid and unpaid sources and by analyzing their product portfolios in the ecosystem of the AI Toolkit market. It also involved rating company products based on their performance and quality. In the secondary research process, various sources such as Journal of Artificial Intelligence Research, the Journal of Artificial Intelligence (AIJ), Association for the Advancement of Artificial Intelligence (AAAI) have been referred to for identifying and collecting information for this study on the AI Toolkit market. The secondary sources included annual reports, press releases and investor presentations of companies, white papers, journals, and certified publications and articles by recognized authors, directories, and databases. Secondary research has been mainly used to obtain key information about the supply chain of the market, the total pool of key players, market classification, segmentation according to industry trends to the bottommost level, regional markets, and key developments from both market- and technology-oriented perspectives that primary sources have further validated.

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 industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from AI Toolkit 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 in understanding 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 AI Toolkit solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of AI Toolkit solutions which would impact the overall AI Toolkit market.

Artificial Intelligence (AI) Toolkit Market Size, and Share

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

Market Size Estimation

Multiple approaches were adopted to estimate and forecast the size of the AI Toolkit market. The first approach involves estimating market size by summing up the revenue generated by companies through the sale of AI Toolkit offerings.

Both top-down and bottom-up approaches were used to estimate and validate the total size of the AI Toolkit market. These methods were extensively used to estimate the size of various segments in the market. The research methodology used to estimate the market size includes the following:

  • Key players in the market have been identified through extensive secondary research.
  • In terms of value, the industry’s supply chain and market size have been determined through primary and secondary research processes.
  • All percentage shares, splits, and breakups have been determined using secondary sources and verified through primary sources.

AI Toolkit Market Size: Bottom-Up Approach

Artificial Intelligence (AI) Toolkit Market Size, and Share

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

AI Toolkit Market Size: Top-Down Approach

Artificial Intelligence (AI) Toolkit Market Size, and Share

Data Triangulation

After arriving at the overall market size, the AI Toolkit market was divided into several segments and subsegments. A data triangulation procedure was used to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments, wherever applicable. The data was triangulated by studying various factors and trends from the demand and supply sides. Along with data triangulation and market breakdown, the market size was validated by the top-down and bottom-up approaches.

Market Definition

An AI toolkit, often referred to as an AI framework or AI development platform is a set of software tools, libraries, and resources that are designed to facilitate the development, deployment, and management of AI and ML applications. These toolkits provide developers with a structured environment for building and training AI models, handling data processing, and deploying AI solutions. AI toolkits typically include pre-built algorithms and data manipulation functions and often support deep learning and neural networks. They are essential for streamlining the development of AI applications across various domains, from natural language processing and computer vision to recommendation systems and predictive analytics. AI toolkits make AI technology more accessible and practical for various industries and applications.

Key Stakeholders

  • AI Toolkit providers
  • Government organizations, forums, alliances, and associations
  • Consulting service providers
  • Value-added resellers (VARs)
  • End users
  • System integrators
  • Research organizations
  • Consulting companies

Report Objectives

  • To determine and forecast the global AI toolkit market by offering (hardware, software, services), application, vertical, and region from 2023 to 2038, and analyze the various macroeconomic and microeconomic factors affecting market growth.
  • To forecast the size of the market segments with respect to five main regions: North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.
  • To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the market.
  • To analyze each submarket with respect to individual growth trends, prospects, and contributions to the overall market.
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the AI toolkit market.
  • To profile the key market players; provide a comparative analysis based on business overviews, regional presence, product offerings, business strategies, and key financials; and illustrate the market's competitive landscape.
  • Track and analyze competitive developments in the market, such as mergers and acquisitions, product developments, partnerships and collaborations, and research and development (R&D) activities.

Available Customizations

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

Country-wise Information

  • Analysis for additional countries (up to five)

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)
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.

Request Customization
Report Code
TC 8830
Published ON
Oct, 2023
REQUEST FREE SAMPLE REPORT
Choose License Type
BUY NOW
Inquire Before Buying
  • SHARE
X
Request Customization
Speak to Analyst
Speak to Analyst
OR FACE-TO-FACE MEETING
PERSONALIZE THIS RESEARCH
  • Triangulate with your Own Data
  • Get Data as per your Format and Definition
  • Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
  • Any level of Personalization
REQUEST A FREE CUSTOMIZATION
LET US HELP YOU!
  • What are the Known and Unknown Adjacencies Impacting the Artificial Intelligence (AI) Toolkit Market
  • What will your New Revenue Sources be?
  • Who will be your Top Customer; what will make them switch?
  • Defend your Market Share or Win Competitors
  • Get a Scorecard for Target Partners
CUSTOMIZED WORKSHOP REQUEST
+1-888-600-6441
  • Call Us
  • +1-888-600-6441 (Corporate office hours)
  • +1-888-600-6441 (US/Can toll free)
  • +44-800-368-9399 (UK office hours)
CONNECT WITH US
ABOUT TRUST ONLINE
©2024 MarketsandMarkets Research Private Ltd. All rights reserved
DMCA.com Protection Status Website Feedback