Report Thumbnail
Product Code MM0913522467RQ
Published Date 2023/10/27
MarketsandMarkets
English288 PagesGlobal

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 ‐ Telecom_Media_ICT_Digital Market


Report Thumbnail
Product Code MM0913522467RQ◆The Oct 2025 edition is also likely available. We will check with the publisher immediately.
Published Date 2023/10/27
MarketsandMarkets
English 288 PagesGlobal

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 ‐ Telecom_Media_ICT_Digital Market


Abstract

Summary

The AI toolkit market is estimated at USD 19.5 billion in 2023 to reach USD 91.6 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 36.2%. AI toolkits that generate content, including news articles, marketing materials, and social media posts, stand as a significant market driver in the AI toolkit landscape. These toolkits are revolutionizing content creation and distribution across industries by automating the production of high-quality, contextually relevant content at scale. This expedites content development, reduces costs, and expands content accessibility. Furthermore, AI-generated content extends beyond text-based materials to include AI-generated music, videos, images, and songs. This multifaceted approach opens new horizons for creative expression and marketing strategies, unlocking novel avenues for artists, content creators, and businesses to connect with their audiences. The ability of AI toolkits to cater to diverse content needs while maintaining quality and relevance is propelling their adoption, further driving innovation in this segment of the AI toolkit market. The computer vision segment is expected to register the fastest growth rate during the forecast period. The utilization of computer vision in industrial automation is a central driver for the AI toolkit market. In industrial operations, computer vision is pivotal in robotic assembly, object tracking, and visual inspection tasks. It enables precision and efficiency in manufacturing processes, enhancing product quality and reducing errors. As industries increasingly embrace automation and smart manufacturing practices, the demand for AI toolkits incorporating computer vision capabilities is surging. These toolkits facilitate the integration of advanced vision systems into automated processes, fostering innovation and driving the growth of the AI toolkit market for industrial applications. The BFSI segment to hold the largest market size during the forecast period AI toolkits are pivotal in driving the AI toolkit market within the Banking, Financial Services, and Insurance (BFSI) sector. They are indispensable for real-time fraud detection, enabling financial institutions to swiftly identify and mitigate fraudulent activities. This is of paramount importance in safeguarding both customer assets and the institution's financial integrity. By harnessing the power of AI, these toolkits continuously analyze vast datasets to identify suspicious patterns and transactions, allowing for immediate action. As the prevalence of financial fraud escalates, the demand for AI toolkits in fraud detection continues to surge, making it a central driver in the growth of the AI toolkit market in the BFSI sector. Asia Pacific highest growth rate during the forecast period. Agriculture-focused AI toolkits drive the Asia Pacific AI toolkit market by revolutionizing the agriculture sector. These toolkits are instrumental in the advancement of precision agriculture, farm management, and the development of smart farming technologies. With the region’s substantial population, there’s a growing demand for sustainable farming practices. AI toolkits empower precision agriculture, enhancing crop yields, efficient resource utilization, and environmental sustainability. These tools provide valuable insights into soil conditions, weather, and crop health, enabling data-driven decisions and minimizing resource wastage. As a result, adoption is increasing, addressing food security, and propelling the overall AI toolkit market in Asia Pacific. Breakdown of primaries The study contains insights from various industry experts, from solution vendors to Tier 1 companies. The break-up of the primaries is as follows: • By Company Type: Tier 1 – 35%, Tier 2 – 45%, and Tier 3 – 20% • By Designation: C-level –35%, D-level – 25%, and Others – 40% • By Region: North America – 30%, Europe – 30%, Asia Pacific – 25%, Middle East & Africa – 10%, and Latin America- 5%. The major players in the AI Toolkit market include 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, enhancements, and acquisitions to expand their AI toolkit market footprint. Research Coverage The market study covers the AI toolkit market size across different segments. It aims at estimating the market size and the growth potential across different segments, including offering (hardware, software, services), application (natural language processing, machine learning, computer vision, deep learning, robotic process automation, and other applications (speech recognition, anomaly detection, and predictive maintenance) ), vertical (BFSI; retail & eCommerce; healthcare & life sciences; media & entertainment; aerospace & defense; IT & ITeS; telecom; real estate; manufacturing; automotive, transportation, & logistics; and other verticals (education, agriculture, government, and energy & utilities), and Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The study includes an in-depth competitive analysis of the leading market players, their company profiles, key observations related to product and business offerings, recent developments, and market strategies. Key Benefits of Buying the Report The report will help the market leaders/new entrants with information on the closest approximations of the global AI Toolkit market’s revenue numbers and subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. Moreover, the report will provide insights for stakeholders to understand the market’s pulse and provide them with information on key market drivers, restraints, challenges, and opportunities. The report provides insights on the following pointers: Analysis of key drivers (evolution of language model concept in AI and growing adoption of AutoML to train high-quality models), restraints (lack of standardization in AI toolkit market and lack of skilled AI professionals), opportunities (growth in data generated by IoT devices creating new opportunities and market penetration of AI toolkit vendors into healthcare and financial services sector), and challenges (concerns related to AI transparency, explainability, and biases and data privacy and security concerns) influencing the growth of the AI toolkit market. Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product and service launches in the AI toolkit market. Market Development: Comprehensive information about lucrative markets – the report analyses the AI Toolkit market across various regions. Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI Toolkit market. Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players 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).

Table of Contents

  • 1 INTRODUCTION 29

    • 1.1 STUDY OBJECTIVES 29
    • 1.2 MARKET DEFINITION 29
    • 1.3 STUDY SCOPE 30
      • 1.3.1 MARKET SEGMENTATION 30
      • 1.3.2 REGIONS CONSIDERED 31
      • 1.3.3 INCLUSIONS & EXCLUSIONS 31
    • 1.4 YEARS CONSIDERED 32
    • 1.5 CURRENCY CONSIDERED 32
    • 1.6 STAKEHOLDERS 33
    • 1.7 RECESSION IMPACT 33

  • 2 RESEARCH METHODOLOGY 34

    • 2.1 RESEARCH DATA 34
      • 2.1.1 SECONDARY DATA 35
        • 2.1.1.1 Key data from secondary sources 35
      • 2.1.2 PRIMARY DATA 35
        • 2.1.2.1 Primary interviews with experts 36
        • 2.1.2.2 Breakdown of primary profiles 36
        • 2.1.2.3 Key data from primary sources 37
        • 2.1.2.4 Key insights from industry experts 37
    • 2.2 MARKET SIZE ESTIMATION 38
      • 2.2.1 TOP-DOWN APPROACH 40
      • 2.2.2 BOTTOM-UP APPROACH 40
    • 2.3 DATA TRIANGULATION 41
    • 2.4 RISK ASSESSMENT 42
    • 2.5 RESEARCH ASSUMPTIONS 42
    • 2.6 STUDY LIMITATIONS 43
    • 2.7 IMPLICATIONS OF RECESSION ON AI TOOLKIT MARKET 43

  • 3 EXECUTIVE SUMMARY 44

  • 4 PREMIUM INSIGHTS 47

    • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI TOOLKIT MARKET 47
    • 4.2 AI TOOLKIT MARKET: MAJOR SEGMENTS 47
    • 4.3 AI TOOLKIT MARKET, BY OFFERING 48
    • 4.4 AI TOOLKIT MARKET, BY SERVICE 48
    • 4.5 AI TOOLKIT MARKET, BY VERTICAL 49
    • 4.6 NORTH AMERICA: AI TOOLKIT MARKET, BY COUNTRY AND KEY VERTICAL 49

  • 5 MARKET OVERVIEW AND INDUSTRY TRENDS 50

    • 5.1 INTRODUCTION 50
    • 5.2 MARKET DYNAMICS 50
      • 5.2.1 DRIVERS 51
        • 5.2.1.1 Evolution of language model concept in AI 51
        • 5.2.1.2 Growing adoption of AutoML to train high-quality models 51
        • 5.2.1.3 Need to accelerate end-to-end ML and data science pipelines using optimized deep learning frameworks 51
      • 5.2.2 RESTRAINTS 51
        • 5.2.2.1 Lack of skilled AI professionals 51
        • 5.2.2.2 Lack of standardization in AI toolkit market 52
      • 5.2.3 OPPORTUNITIES 52
        • 5.2.3.1 Growth in data generated by IoT devices 52
        • 5.2.3.2 Market penetration of AI toolkit vendors into healthcare and financial services sectors 52
      • 5.2.4 CHALLENGES 53
        • 5.2.4.1 Concerns related to AI transparency and explainability 53
        • 5.2.4.2 Security and privacy concerns 53
    • 5.3 INDUSTRY TRENDS 54
      • 5.3.1 EVOLUTION OF ARTIFICIAL INTELLIGENCE TECHNOLOGY 54
        • 5.3.1.1 Milestones of Artificial Intelligence 54
      • 5.3.2 ECOSYSTEM ANALYSIS 57
      • 5.3.3 CASE STUDY ANALYSIS 58
        • 5.3.3.1 CarMax deployed Microsoft’s Azure OpenAI Service to ensure data security and compliance 58
        • 5.3.3.2 Trifork employed NVIDIA’s DeepStream and Jetson Xavier AGX to optimize baggage handling at airports 59
        • 5.3.3.3 Obviously AI offered its accurate revenue predictions to provide organizations with valuable insights for better decision-making 60
        • 5.3.3.4 2X implemented Jasper’s multifaceted functionality to offer personalized experience to content team 61
        • 5.3.3.5 Obviously AI’s precise sales predictions empowered organizations to allocate resources and make data-driven choices 62
      • 5.3.4 VALUE CHAIN ANALYSIS 62
      • 5.3.5 TARIFF AND REGULATORY LANDSCAPE 63
        • 5.3.5.1 Tariff related to electronic integrated circuits and microassemblies 63
        • 5.3.5.2 Regulatory bodies, government agencies, and other organizations 64
          • 5.3.5.2.1 North America 68
            • 5.3.5.2.1.1 US 68
            • 5.3.5.2.1.2 Canada 68
          • 5.3.5.2.2 Europe 68
          • 5.3.5.2.3 Asia Pacific 69
            • 5.3.5.2.3.1 South Korea 69
            • 5.3.5.2.3.2 China 69
            • 5.3.5.2.3.3 India 69
          • 5.3.5.2.4 Middle East & Africa 69
            • 5.3.5.2.4.1 UAE 69
            • 5.3.5.2.4.2 KSA 69
            • 5.3.5.2.4.3 Bahrain 70
          • 5.3.5.2.5 Latin America 70
            • 5.3.5.2.5.1 Brazil 70
            • 5.3.5.2.5.2 Mexico 70
      • 5.3.6 PRICING ANALYSIS 70
        • 5.3.6.1 Average selling price trends for key players, by billing cycle 70
        • 5.3.6.2 Indicative pricing analysis for key players 71
      • 5.3.7 PATENT ANALYSIS 71
        • 5.3.7.1 Methodology 71
        • 5.3.7.2 Innovation and patent applications 72
          • 5.3.7.2.1 Top applicants 72
      • 5.3.8 PORTER’S FIVE FORCES ANALYSIS 73
        • 5.3.8.1 Threat of new entrants 74
        • 5.3.8.2 Threat of substitutes 74
        • 5.3.8.3 Bargaining power of buyers 74
        • 5.3.8.4 Bargaining power of suppliers 74
        • 5.3.8.5 Intensity of competitive rivalry 74
      • 5.3.9 KEY STAKEHOLDERS & BUYING CRITERIA 74
        • 5.3.9.1 Key stakeholders in buying process 74
        • 5.3.9.2 Buying criteria 75
      • 5.3.10 KEY CONFERENCES & EVENTS 76
      • 5.3.11 TRENDS AND DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 78
      • 5.3.12 HS CODES: ELECTRONIC INTEGRATED CIRCUITS AND MICROASSEMBLIES (8542) 79
        • 5.3.12.1 Export scenario for HS Code: 8542 79
        • 5.3.12.2 Import scenario for HS Code: 8542 79
      • 5.3.13 BEST PRACTICES IN AI TOOLKIT MARKET 80
        • 5.3.13.1 User-friendly interfaces 80
        • 5.3.13.2 Comprehensive documentation 80
        • 5.3.13.3 Training and support 80
        • 5.3.13.4 Sample code and use cases 80
        • 5.3.13.5 Data privacy and security 81
      • 5.3.14 AI TOOLKIT MARKET: CURRENT AND EMERGING BUSINESS MODELS 81
        • 5.3.14.1 Open-source software 81
        • 5.3.14.2 Subscription-based services 81
        • 5.3.14.3 Pay-per-use or consumption-based pricing 81
        • 5.3.14.4 Enterprise licensing 81
        • 5.3.14.5 Platform-as-a-Service 81
        • 5.3.14.6 AI-as-a-Service 81
      • 5.3.15 AI TOOLKIT TOOLS, FRAMEWORKS, AND TECHNIQUES 81
        • 5.3.15.1 AI toolkit tools 81
          • 5.3.15.1.1 Data labeling tools 81
          • 5.3.15.1.2 Data preparation tools 82
          • 5.3.15.1.3 Automated machine learning tools 82
        • 5.3.15.2 AI toolkit frameworks 82
          • 5.3.15.2.1 TensorFlow 82
          • 5.3.15.2.2 PyTorch 82
          • 5.3.15.2.3 Keras 82
          • 5.3.15.2.4 Scikit-learn 82
        • 5.3.15.3 AI toolkit techniques 82
          • 5.3.15.3.1 Supervised learning 82
          • 5.3.15.3.2 Unsupervised learning 83
          • 5.3.15.3.3 Reinforcement learning 83
      • 5.3.16 TECHNOLOGY ANALYSIS 83
        • 5.3.16.1 Key technologies 83
          • 5.3.16.1.1 Machine Learning 83
          • 5.3.16.1.2 Deep Learning 83
          • 5.3.16.1.3 Natural Language Processing (NLP) 83
          • 5.3.16.1.4 Generative Models 84
        • 5.3.16.2 Complementary technologies 84
          • 5.3.16.2.1 Big Data Technologies 84
          • 5.3.16.2.2 Cloud Computing 84
        • 5.3.16.3 Adjacent technologies 84
          • 5.3.16.3.1 Edge Computing 84
          • 5.3.16.3.2 Blockchain 84
      • 5.3.17 FUTURE LANDSCAPE OF AI TOOLKIT MARKET 85
        • 5.3.17.1 AI toolkit technology roadmap till 2030 85
          • 5.3.17.1.1 Short-term roadmap (2023-2025) 85
          • 5.3.17.1.2 Mid-term roadmap (2026-2028) 85
          • 5.3.17.1.3 Long-term roadmap (2029-2030) 85
      • 5.3.18 ETHICS OF AI TOOLKIT DEVELOPMENT 85
        • 5.3.18.1 Fairness and biases 85
        • 5.3.18.2 Privacy and security 85
        • 5.3.18.3 Accountability and transparency 86

  • 6 AI TOOLKIT MARKET, BY OFFERING 87

    • 6.1 INTRODUCTION 88
      • 6.1.1 OFFERINGS: AI TOOLKIT MARKET DRIVERS 88
    • 6.2 SOFTWARE 89
      • 6.2.1 NEED FOR CUSTOMIZABLE AND USER-FRIENDLY SOFTWARE-BASED SOLUTIONS TO DRIVE MARKET 89
    • 6.3 HARDWARE 90
      • 6.3.1 PROCESSORS 92
        • 6.3.1.1 Demand for high-end processors to support growth of AI toolkit market 92
      • 6.3.2 ACCELERATORS 93
        • 6.3.2.1 Focus on enhancing performance and efficiency of AI applications to drive need for accelerators 93
        • 6.3.2.2 Graphics processing units (GPUs) 94
        • 6.3.2.3 Tensor processing units 94
        • 6.3.2.4 Field programmable processing units 94
        • 6.3.2.5 Neuromorphic chips 95
      • 6.3.3 OTHER HARDWARE TYPES 95
    • 6.4 SERVICES 96
      • 6.4.1 PROFESSIONAL SERVICES 97
        • 6.4.1.1 Consulting 99
          • 6.4.1.1.1 Demand for expert guidance and strategic direction to drive need for consulting services 99
        • 6.4.1.2 Deployment & integration 100
          • 6.4.1.2.1 Rising emphasis on effective implementation and utilization of AI solutions to spur growth of deployment and integration services 100
        • 6.4.1.3 Support & maintenance 101
          • 6.4.1.3.1 Support and maintenance services ensure continued functionality, reliability, and effectiveness of AI systems and solutions 101
      • 6.4.2 MANAGED SERVICES 102
        • 6.4.2.1 Focus on establishing nimble and agile approach to AI implementation to drive growth of managed services 102

  • 7 AI TOOLKIT MARKET, BY TECHNOLOGY 103

    • 7.1 INTRODUCTION 104
      • 7.1.1 TECHNOLOGIES: AI TOOLKIT MARKET DRIVERS 104
    • 7.2 NATURAL LANGUAGE PROCESSING 105
      • 7.2.1 NATURAL LANGUAGE PROCESSING TOOLS FACILITATE INTERACTION BETWEEN COMPUTERS AND HUMAN LANGUAGE 105
    • 7.3 MACHINE LEARNING 106
      • 7.3.1 NEED TO FACILITATE PREDICTIVE ANALYTICS AND DATA-DRIVEN DECISION-MAKING TO DRIVE MARKET 106
    • 7.4 COMPUTER VISION 108
      • 7.4.1 COMPUTER VISION TOOLS ENABLE MACHINES TO INTERPRET AND ANALYZE IMAGES AND VIDEOS 108
    • 7.5 ROBOTIC PROCESS AUTOMATION 109
      • 7.5.1 NEED FOR EFFECTIVE DECISION-MAKING PROCESSES IN EXECUTION OF REPETITIVE AND RULE-BASED TASKS TO SPUR GROWTH 109

  • 8 AI TOOLKIT MARKET, BY VERTICAL 111

    • 8.1 INTRODUCTION 112
      • 8.1.1 VERTICALS: AI TOOLKIT MARKET DRIVERS 112
    • 8.2 BFSI 114
      • 8.2.1 GROWTH OF FRAUDULENT ACTIVITIES IN BFSI SECTOR TO DRIVE DEMAND FOR AI TOOLKITS 114
      • 8.2.2 USE CASES 114
        • 8.2.2.1 Fraud detection & prevention 114
        • 8.2.2.2 Risk assessment 114
    • 8.3 RETAIL & ECOMMERCE 115
      • 8.3.1 AI HELPS TRACK SALES AND PROCESSING DATA TO FORMULATE STRATEGIES IN RETAIL & ECOMMERCE SECTOR 115
      • 8.3.2 USE CASES 116
        • 8.3.2.1 Pricing optimization 116
        • 8.3.2.2 Visual search 116
    • 8.4 HEALTHCARE & LIFE SCIENCES 117
      • 8.4.1 AI TOOLKITS OFFER ROBUST ARSENAL OF TOOLS AND TECHNOLOGIES THAT RESHAPE DELIVERY OF HEALTHCARE SERVICES 117
      • 8.4.2 USE CASES 117
        • 8.4.2.1 Medical imaging analysis 117
        • 8.4.2.2 Drug discovery and development 117
    • 8.5 MANUFACTURING 118
      • 8.5.1 DEMAND FOR DEPLOYMENT OF AI-ENHANCED QUALITY CONTROL SYSTEMS IN MANUFACTURING SECTOR TO DRIVE POPULARITY OF AI TOOLKITS 118
      • 8.5.2 USE CASES 119
        • 8.5.2.1 Production scheduling 119
        • 8.5.2.2 Product design and prototyping 119
    • 8.6 TELECOM 120
      • 8.6.1 AI-BASED AUTOMATED BILLING AND CHATBOTS TRANSFORM TRADITIONAL PROCESSES IN TELECOM SECTOR 120
      • 8.6.2 USE CASES 120
        • 8.6.2.1 Automated billing and invoicing 120
        • 8.6.2.2 Network planning and expansion 120
    • 8.7 IT & ITES 121
      • 8.7.1 AI-DRIVEN SOLUTIONS AUTONOMOUSLY MONITOR HEALTH OF SERVERS, NETWORKS, AND DATA CENTERS 121
      • 8.7.2 USE CASES 121
        • 8.7.2.1 IT asset management 121
        • 8.7.2.2 Project management 121
    • 8.8 MEDIA & ENTERTAINMENT 122
      • 8.8.1 NEED FOR ACCURATE CONTENT RECOMMENDATION AND PERSONALIZATION TO BOOST ADOPTION OF AI TOOLKITS IN MEDIA & ENTERTAINMENT SECTOR 122
      • 8.8.2 USE CASES 123
        • 8.8.2.1 Content recommendation 123
        • 8.8.2.2 Content moderation 123
    • 8.9 ENERGY & UTILITIES 124
      • 8.9.1 AI TOOLKITS HELP ENERGY AND UTILITY COMPANIES MEET DEMAND FOR SUSTAINABILITY AND OPERATIONAL EFFICIENCY 124
      • 8.9.2 USE CASES 124
        • 8.9.2.1 Energy storage optimization 124
        • 8.9.2.2 Grid anomaly detection 124
    • 8.10 GOVERNMENT & DEFENSE 125
      • 8.10.1 INNOVATION, EFFICIENCY, AND SECURITY ACROSS AREAS OF PUBLIC ADMINISTRATION AND NATIONAL DEFENSE TO SPUR GROWTH 125
      • 8.10.2 USE CASES 126
        • 8.10.2.1 Document analysis 126
        • 8.10.2.2 Government services automation 126
    • 8.11 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS 127
      • 8.11.1 FOCUS ON ENHANCING EFFICIENCY, SAFETY, AND SUSTAINABILITY ACROSS SUPPLY CHAIN OPERATIONS TO PROPEL MARKET GROWTH 127
      • 8.11.2 USE CASES 127
        • 8.11.2.1 Driver assistance systems 127
        • 8.11.2.2 Autonomous vehicles 127
    • 8.12 OTHER VERTICALS 128
      • 8.12.1 USE CASES 129
        • 8.12.1.1 Automated grading 129
        • 8.12.1.2 Safety compliance 129
        • 8.12.1.3 Precision farming 129
        • 8.12.1.4 Language translation 129

  • 9 AI TOOLKIT MARKET, BY REGION 131

    • 9.1 INTRODUCTION 132
    • 9.2 NORTH AMERICA 133
      • 9.2.1 NORTH AMERICA: AI TOOLKIT MARKET DRIVERS 133
      • 9.2.2 NORTH AMERICA: RECESSION IMPACT 133
      • 9.2.3 US 139
        • 9.2.3.1 Robust growth of AI toolkit ecosystem to drive market 139
      • 9.2.4 CANADA 143
        • 9.2.4.1 Rising government initiatives to support rapidly evolving AI technology to facilitate market growth 143
    • 9.3 EUROPE 147
      • 9.3.1 EUROPE: AI TOOLKIT MARKET DRIVERS 147
      • 9.3.2 EUROPE: RECESSION IMPACT 147
      • 9.3.3 UK 152
        • 9.3.3.1 Increasing government funding in artificial intelligence to drive market 152
      • 9.3.4 GERMANY 156
        • 9.3.4.1 Strong emphasis on innovation and technology to boost adoption of AI toolkits 156
      • 9.3.5 FRANCE 157
        • 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 157
      • 9.3.6 ITALY 157
        • 9.3.6.1 Rising government initiatives to boost development and competitiveness of AI to drive market 157
      • 9.3.7 SPAIN 161
        • 9.3.7.1 Growing deployment of AI technologies across public and private sectors to drive growth 161
      • 9.3.8 NORDICS 162
        • 9.3.8.1 Tech-savvy population and robust investment in technology companies to drive market 162
      • 9.3.9 REST OF EUROPE 162
    • 9.4 ASIA PACIFIC 163
      • 9.4.1 ASIA PACIFIC: AI TOOLKIT MARKET DRIVERS 163
      • 9.4.2 ASIA PACIFIC: RECESSION IMPACT 163
      • 9.4.3 CHINA 169
        • 9.4.3.1 Need for nurturing domestic AI capabilities and promoting global expansion of Chinese tech companies to spur market 169
      • 9.4.4 INDIA 173
        • 9.4.4.1 Rising emphasis on driving innovation, enhancing productivity, and transforming industries to boost popularity of AI-driven toolkits 173
      • 9.4.5 JAPAN 174
        • 9.4.5.1 Need for adequate utilization of data-driven AI across domains to spur market 174
      • 9.4.6 AUSTRALIA & NEW ZEALAND 174
        • 9.4.6.1 Increasing application of AI technology in cybersecurity and farming to drive market 174
      • 9.4.7 SOUTH KOREA 175
        • 9.4.7.1 Emphasis on developing robust digital strategies to encourage market expansion 175
      • 9.4.8 SOUTHEAST ASIA 175
        • 9.4.8.1 Recognition of transformative potential of AI to boost use of AI toolkits 175
      • 9.4.9 REST OF ASIA PACIFIC 176
    • 9.5 MIDDLE EAST & AFRICA 176
      • 9.5.1 MIDDLE EAST & AFRICA: AI TOOLKIT MARKET DRIVERS 176
      • 9.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT 177
      • 9.5.3 GCC COUNTRIES 181
        • 9.5.3.1 Strong partnerships between public and private players to implement AI technology across crucial sectors to drive market 181
      • 9.5.4 SOUTH AFRICA 186
        • 9.5.4.1 Rising focus on enhancing global health equitably for betterment of healthcare to offer opportunities for players to leverage AI technology 186
      • 9.5.5 REST OF MIDDLE EAST & AFRICA 186
    • 9.6 LATIN AMERICA 187
      • 9.6.1 LATIN AMERICA: AI TOOLKIT MARKET DRIVERS 187
      • 9.6.2 LATIN AMERICA: RECESSION IMPACT 187
      • 9.6.3 BRAZIL 192
        • 9.6.3.1 Implementation of AI and ML technologies in enterprise-level operations to foster market growth 192
      • 9.6.4 MEXICO 196
        • 9.6.4.1 Special focus on governance, government services, and data infrastructure to boost popularity of AI-driven toolkits 196
      • 9.6.5 REST OF LATIN AMERICA 196

  • 10 COMPETITIVE LANDSCAPE 197

    • 10.1 INTRODUCTION 197
    • 10.2 STRATEGIES ADOPTED BY KEY PLAYERS 197
    • 10.3 HISTORICAL REVENUE ANALYSIS FOR KEY PLAYERS 198
    • 10.4 MARKET SHARE ANALYSIS FOR KEY PLAYERS 199
    • 10.5 COMPANY EVALUATION MATRIX FOR KEY PLAYERS 199
      • 10.5.1 STARS 199
      • 10.5.2 EMERGING LEADERS 199
      • 10.5.3 PERVASIVE PLAYERS 199
      • 10.5.4 PARTICIPANTS 200
      • 10.5.5 COMPANY FOOTPRINT 201
    • 10.6 START-UP/SME EVALUATION MATRIX 204
      • 10.6.1 PROGRESSIVE COMPANIES 204
      • 10.6.2 RESPONSIVE COMPANIES 204
      • 10.6.3 DYNAMIC COMPANIES 204
      • 10.6.4 STARTING BLOCKS 204
      • 10.6.5 COMPETITIVE BENCHMARKING 206
    • 10.7 COMPETITIVE SCENARIO AND TRENDS 207
      • 10.7.1 PRODUCT LAUNCHES 207
      • 10.7.2 DEALS 208
    • 10.8 AI TOOLKIT PRODUCT BENCHMARKING 210
      • 10.8.1 PROMINENT AI TOOLKIT SOLUTIONS 210
        • 10.8.1.1 Salesforce Einstein 210
        • 10.8.1.2 Vertex AI 210
        • 10.8.1.3 Adobe Firefly 210
        • 10.8.1.4 IBM Watsonx 210
        • 10.8.1.5 Regie.ai 210
    • 10.9 VALUATION AND FINANCIAL METRICS OF KEY AI TOOLKIT VENDORS 211

  • 11 COMPANY PROFILES 212

    • 11.1 KEY PLAYERS 212
      • 11.1.1 NVIDIA CORPORATION 212
      • 11.1.2 META 216
      • 11.1.3 MICROSOFT 219
      • 11.1.4 IBM 223
      • 11.1.5 GOOGLE 228
      • 11.1.6 THALES GROUP 232
      • 11.1.7 INTEL 235
      • 11.1.8 ORACLE 238
      • 11.1.9 ADOBE 241
      • 11.1.10 SALESFORCE 244
      • 11.1.11 H20.AI 247
      • 11.1.12 ALTERYX 248
      • 11.1.13 KNIME 248
      • 11.1.14 DATAROBOT 249
      • 11.1.15 ALTAIR 250
      • 11.1.16 ATTRI 251
      • 11.1.17 DETERMINED AI 252
      • 11.1.18 RASA 253
      • 11.1.19 OPENAI 254
    • 11.2 START-UPS/SMES 255
      • 11.2.1 JASPER 255
      • 11.2.2 SUPERANNOTATE 256
      • 11.2.3 OBVIOUSLY AI 257
      • 11.2.4 FIDDLER AI 258
      • 11.2.5 UNION.AI 259
      • 11.2.6 REGIE.AI 260
      • 11.2.7 SNORKEL AI 261
      • 11.2.8 LEVITY AI 262

  • 12 ADJACENT AND RELATED MARKETS 263

    • 12.1 INTRODUCTION 263
    • 12.2 GENERATIVE AI MARKET 263
      • 12.2.1 MARKET DEFINITION 263
      • 12.2.2 MARKET OVERVIEW 263
      • 12.2.3 GENERATIVE AI MARKET, BY OFFERING 264
      • 12.2.4 GENERATIVE AI MARKET, BY APPLICATION 265
      • 12.2.5 GENERATIVE AI MARKET, BY VERTICAL 268
      • 12.2.6 GENERATIVE AI MARKET, BY REGION 269
    • 12.3 CONVERSATIONAL AI MARKET 270
      • 12.3.1 MARKET DEFINITION 270
      • 12.3.2 MARKET OVERVIEW 270
      • 12.3.3 CONVERSATIONAL AI MARKET, BY OFFERING 271
      • 12.3.4 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION 271
      • 12.3.5 CONVERSATIONAL AI MARKET, BY CHANNEL 272
      • 12.3.6 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL INTERFACE 273
      • 12.3.7 CONVERSATIONAL AI MARKET, BY TECHNOLOGY 274
      • 12.3.8 CONVERSATIONAL AI MARKET, BY VERTICAL 274
      • 12.3.9 CONVERSATIONAL AI MARKET, BY REGION 275

  • 13 APPENDIX 277

    • 13.1 DISCUSSION GUIDE 277
    • 13.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 283
    • 13.3 CUSTOMIZATION OPTIONS 285
    • 13.4 RELATED REPORTS 285
    • 13.5 AUTHOR DETAILS 286
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