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    Generative AI in Data Analytics Market Size

    ID: MRFR/ICT/10663-HCR
    128 Pages
    Aarti Dhapte
    October 2025

    Generative AI in Data Analytics Market Research Report: Information By Deployment (Cloud-Based, On-premise), By Technology (Machine learning, Natural Language Processing, Deep learning, Computer vision, Robotic Process Automation), By Application (Data Augmentation, Anomaly Detection, Text Generation, Simulation and Forecasting), By Region (North America, Europe, Asia-Pacific, Middle East and A...

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    Generative Ai In Data Analytics Size

    Generative AI in Data Analytics Market Growth Projections and Opportunities

    The market for Generative AI in data analytics is inspired by various factors that play a vital function in shaping its dynamics. One of the number one market elements is the increasing quantity and complexity of statistics generated by way of agencies and agencies. As the quantity of statistics continues to grow exponentially, there may be a rising demand for advanced analytics tools powered by using Generative AI to extract significant insights from this considerable pool of records. Another massive market factor is the rapid advancements in gadget learning and deep getting-to-know technologies. Generative AI leverages those current talents to create artificial information, generate sensible images, or even produce human-like text. This technological development not only complements the overall performance of data analytics solutions but also opens up new possibilities for companies to derive fees from their information. As a result, groups are increasingly investing in Generative AI-powered data analytics tools to live beforehand inside the competitive panorama. Furthermore, the increasing recognition of the ability benefits of Generative AI in data analytics is a key component shaping the market. Businesses across diverse industries are spotting the price of using AI-generated statistics for schooling device learning fashions, simulating actual-world eventualities, and augmenting their current datasets. Moreover, the regulatory landscape also plays a widespread position in influencing the marketplace for Generative AI in data analytics. Data privacy policies, together with the GDPR in Europe and the CCPA within the United States, have pressured companies to adopt sturdy data analytics answers that make certain compliance while leveraging Generative AI for data synthesis and analysis. This has created a market wherein agencies are seeking AI-powered data analytics tools that now not only most effectively offer superior abilities but also adhere to stringent facts and safety guidelines. In addition, the aggressive panorama and the presence of predominant players in the Generative AI and data analytics market are important elements shaping its trajectory. Established generation agencies and startups are actively developing and providing Generative AI solutions tailor-made for data analytics, intensifying competition and fostering innovation inside the marketplace. These aggressive surroundings encourage continuous advancements in the Generative AI era, leading to a wide range of services for companies searching for data analytics solutions.

    Generative AI in Data Analytics Market Size Graph

    Market Summary

    As per Market Research Future Analysis, the Generative AI in Data Analytics Market is poised for significant growth, expanding from USD 8.18 million in 2025 to USD 857.40 million by 2035, reflecting a remarkable CAGR of 59.22% during the forecast period. The market was valued at USD 5.14 million in 2024, driven by the increasing adoption of generative AI for fraud detection, product recommendations, and machine learning model training. The healthcare sector is a major user, leveraging generative AI for data analysis and predictive modeling, enhancing efficiency and care quality. Cloud-based deployment is the preferred method, while machine learning remains the dominant technology. Data augmentation is the leading application, addressing the need for synthetic data in training models.

    Key Market Trends & Highlights

    The Generative AI in Data Analytics Market is characterized by several key trends.

    • Market growth from USD 8.18 million in 2025 to USD 538.49 million by 2034.
    • Healthcare industry significantly utilizes generative AI for data analysis and predictive modeling.
    • Cloud-based deployment dominates the market due to its flexibility and scalability.
    • Data augmentation is the leading application, essential for training machine learning models.

    Market Size & Forecast

    2024 Market Size USD 5.14 Million.
    2035 Market Size USD 857.40 Million
    CAGR 59.22%

    Major Players

    Key players include Google, IBM Corporation, Microsoft, General Electric, Salesforce, and NVIDIA Corporation.

    Market Trends

    Use of generative AI in data analytics

    A significant user of generative AI in data analytics is the healthcare industry. To sort through enormous amounts of data, analyse it, and find patterns, generative AI is used. Additionally, it may use that data to create simulations and models that can more accurately forecast outcomes than ever before. The industry has benefited from this improved efficiency, which has helped to lower prices and improve care quality. Generative AI is being used more frequently in the healthcare industry, from prevention to therapy and diagnostics.

    The integration of generative AI into data analytics is poised to transform decision-making processes across various sectors, enhancing predictive capabilities and operational efficiencies.

    U.S. Department of Commerce

    Generative AI in Data Analytics Market Market Drivers

    Market Growth Projections

    The Global Generative AI in Data Analytics Market Industry is poised for substantial growth, with projections indicating a market size of 45.67 USD Billion in 2024 and an anticipated increase to 120.34 USD Billion by 2035. This growth trajectory reflects the increasing adoption of generative AI technologies across various sectors, driven by the demand for enhanced data analytics capabilities. The market is expected to experience a compound annual growth rate of 9.21% from 2025 to 2035, highlighting the potential for innovation and expansion in the field of data analytics. As organizations continue to recognize the value of generative AI, the market is likely to evolve rapidly.

    Advancements in AI Technologies

    Technological advancements in artificial intelligence play a pivotal role in shaping the Global Generative AI in Data Analytics Market Industry. Innovations in machine learning algorithms and natural language processing enhance the capabilities of data analytics tools, allowing for more sophisticated data interpretation. These advancements enable organizations to automate complex analytical tasks, thereby increasing efficiency and accuracy. As a result, businesses can derive insights faster and with greater precision. The continuous evolution of AI technologies suggests that the market will experience a compound annual growth rate of 9.21% from 2025 to 2035, reflecting the growing reliance on AI-driven analytics solutions.

    Regulatory Compliance and Data Governance

    Regulatory compliance and data governance are critical factors influencing the Global Generative AI in Data Analytics Market Industry. As data privacy regulations become more stringent, organizations are compelled to adopt advanced analytics solutions that ensure compliance while maximizing data utility. Generative AI offers capabilities that enhance data governance by automating compliance checks and providing insights into data usage. This trend is particularly relevant in sectors such as finance and healthcare, where data security is paramount. The increasing focus on regulatory compliance suggests a growing market for generative AI solutions, potentially leading to a compound annual growth rate of 9.21% from 2025 to 2035.

    Increasing Demand for Data-Driven Insights

    The Global Generative AI in Data Analytics Market Industry experiences a surge in demand for data-driven insights as organizations seek to enhance decision-making processes. In 2024, the market is projected to reach 45.67 USD Billion, driven by the need for real-time analytics and predictive modeling. Companies across various sectors, including finance and healthcare, are leveraging generative AI to extract actionable insights from vast datasets. This trend indicates a shift towards data-centric strategies, where businesses prioritize analytics to gain competitive advantages. As organizations recognize the value of data, the market is expected to witness substantial growth, potentially reaching 120.34 USD Billion by 2035.

    Rising Need for Personalization in Services

    The rising need for personalization in services drives the Global Generative AI in Data Analytics Market Industry. Companies are increasingly utilizing generative AI to analyze customer data and tailor services to individual preferences. This trend is particularly evident in sectors such as retail and e-commerce, where personalized recommendations enhance customer experiences and drive sales. By leveraging AI-driven analytics, organizations can identify patterns and trends in consumer behavior, allowing for targeted marketing strategies. As the demand for personalized services continues to grow, the market is likely to expand significantly, with a projected value of 45.67 USD Billion in 2024, reflecting the importance of customer-centric approaches.

    Integration of AI with Business Intelligence Tools

    The integration of generative AI with existing business intelligence tools significantly influences the Global Generative AI in Data Analytics Market Industry. Organizations are increasingly adopting AI-enhanced analytics platforms that seamlessly integrate with traditional BI tools, enabling users to leverage advanced analytics without extensive technical expertise. This integration facilitates the democratization of data analytics, allowing non-technical users to access insights easily. As businesses recognize the importance of data accessibility, the market is expected to expand, with projections indicating a potential market size of 120.34 USD Billion by 2035. This trend underscores the growing need for user-friendly analytics solutions that empower decision-makers across various levels.

    Market Segment Insights

    Generative AI in Data Analytics Market- Deployment Insights

    The global Generative AI in Data Analytics market, in this report, in this report is segmented based on deployment encompassing Cloud-Based and On-premise. Cloud-based deployment is dominating in 2022, as it is the most popular deployment method for generative AI in data analytics during the forecast period. This is because cloud computing is becoming increasingly popular among businesses, as it offers flexibility and scalability for deploying and using generative AI applications.

    Generative AI in Data Analytics Market Technology Insights

    The global Generative AI in Data Analytics market, in this report is segmented based on Technology encompassing Natural Language Processing, Machine learning, Computer vision, Deep learning, and Robotic Process Automation. Machine learning is the widely accepted technology for generative AI in data analytics. This is because machine learning is a powerful tool that can be used to learn from data as well as to make predictions. Generative AI can be used to produce synthetic data that can then be used to train machine learning models.

    FIGURE 2: GENERATIVE AI IN DATA ANALYTICS MARKET , BY Technology, 2022 VS 2032 (USD MILLION)

    Source: Secondary Research, Primary Research, Market Research Future Database, and Analyst Review

    Generative AI in Data Analytics Market- Application Insights

    The global Generative AI in Data Analytics market, in this report is segmented based on Application encompassing Data Augmentation, Text Generation, Anomaly Detection and Simulation and Forecasting. Data augmentation is expected to be the dominating in 2022 in generative AI in the data analytics market. This is because businesses are increasingly using machine learning models to make decisions, and these models need to be trained on large amounts of data. However, in many cases, businesses do not have enough real data to train their models.

    Generative AI can be used to generate synthetic data that is similar to real data, which can help businesses to train their machine learning models and improve their accuracy and performance.

    Get more detailed insights about Generative AI in Data Analytics Market Research Report – Forecast till 2034

    Regional Insights

    By region, the study provides the market insights into North America, Europe, Asia-Pacific, Middle East & Africa, and South America. North America Generative AI in Data Analytics market accounted for USD 0.72 million in 2022 with a share of around 33.60% and is expected to exhibit a significant CAGR growth during the study period. In North America, the market for AI in data analytics is expanding globally. This industry is expanding as a result of the demand for data-driven insights, which has led businesses to make significant investments in AI solutions and technology.

    Major players like Google, Microsoft, IBM, and Intel are at the forefront of this flourishing business that has been formed throughout the region as a result of this trend. The growth of this industry is anticipated to be further fuelled by the development of high-end technologies like Generative Adversarial Networks (GANs), Natural Language Processing (NLP), and Reinforcement Learning (RL). Investments in AI-based applications like fraud detection, recommendation systems, and predictive analytics are also anticipated to contribute to the industry's continued growth. The North American AI market is expected to grow with all these developments.

    Mover increasing use of data-driven ai insights, analytics industry AI, and predictive data AI in the region is driving the market. The market for generative AI in data analytics is expanding in North America. Businesses and organisations have a great opportunity to take use of the wealth of data that is becoming available. This chance opens up a number of opportunities for improved decision-making and for getting insightful knowledge from previously collected data.

    With the use of generative AI technology, specialists can create complex models that can analyse vast amounts of data and produce insightful insights that can be applied in a range of application scenarios. As a result, businesses are investing in this instrument at an increasing rate.

    Further, the major countries studied in the market report are: The U.S, Canada, Germany, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.

    FIGURE 3: GENERATIVE AI IN DATA ANALYTICS MARKET SIZE BY REGION 2022 VS 2032

    GENERATIVE AI IN DATA ANALYTICS MARKET SIZE BY REGION 2022 VS 2032

    Source: Secondary Research, Primary Research, Market Research Future Database, and Analyst Review

    In Europe the development of generative AI and artificial intelligence (AI) benefits the European data analytics sector. Major economies like Germany, France, and the United Kingdom are leading the adoption of Generative Ai In Data Analytics. By way of illustration, generative AI enables computers to decipher data and produce forecasts based on patterns discovered in the existing data. This has been especially helpful for sectors that are now utilising AI's predictive capabilities, like banking, retail, manufacturing, healthcare, and more.

    According to estimates, the use of AI solutions for data analytics will increase dramatically in Europe over the next five years as companies want to acquire deeper insights into their client bases. Companies will be able to access more powerful computer systems, new techniques, and technology, which will make big data analysis easier. The demand for data-driven solutions is anticipated to increase as Europe continues to build its capabilities in this area, enabling firms to see market possibilities more quickly than ever before. The demand for innovation is driving a rapid evolution of the European data analytics sector.

    This process is now being driven by generative AI, which enables organisations to create fresh plans and discover information in their data that will keep them ahead of the curve. Exploring this technology's potential offers a variety of opportunities, from improving the value of current data sources to creating brand-new solutions that are tailored to particular need. Companies all over Europe can take use of this technology with the proper strategy to not only advance but also guarantee long-term success.

    The market for AI in data analytics in Asia is expanding steadily, and many businesses are now focusing on regulatory compliance. This involves making sure they adhere to the rules and regulations of their respective countries. It serves as a necessity in order to stay competitive in this industry. Compliance is becoming increasingly crucial for success, hence the need to include it during the implementation process. Companies must remain aware of all regulations applicable to them, taking all steps necessary to ensure these are met at all times.

    Cloud computing is becoming more and more popular in the Asia market for generative AI in data analytics. Businesses in the area are embracing its efficiency and cost-saving benefits as they become aware of its potential. In reality, as more businesses use it to streamline their operations, cut expenses, and gain a competitive edge, cloud computing is fast becoming a critical component of their data analytics plans. The market for generative AI in data analytics has expanded rapidly in Asia as a result of this rise in cloud computing popularity.

    Key Players and Competitive Insights

    The Applied AI in Agriculture market is highly competitive, with a number of established players competing for market share. The market is primarily driven by the growing adoption of cloud computing. There are several domestic, regional, and global players operating in the Applied AI in Energy & Utilities market who continuously strive to gain a significant share of the overall market. During the study, MRFR has analyzed some of the major players in the Generative AI in Data Analytics market who have contributed to the market growth.

    These include Some notable players in the Applied AI in Energy & Utilities market include Google, IB General Electric , IBM Corporation, Microsoft., GE Power, Opower, Eneco, and Siemens.

    Among these, Microsoft is a prominent solution provider of a wide range of Applied AI in Energy & Utilities. The company offers a range AI solutions that can be used to Predictive maintenance and Renewable energy integration in utilities and to energy. IBM is another AI solution that can be used for fraud detection, data analysis, and managing power supply. Similarly, Deere & Company's AI solutions can be used to monitor crops and drive autonomously.

    Key Companies in the Generative AI in Data Analytics Market market include

    Industry Developments

    • Q2 2024: Databricks acquires Tabular to expand data lakehouse and AI capabilities Databricks announced the acquisition of Tabular, a data management startup, to enhance its data lakehouse platform and strengthen its generative AI and analytics offerings.
    • Q2 2024: Snowflake and Nvidia Partner to Bring Generative AI to Enterprise Data Snowflake and Nvidia announced a partnership to integrate Nvidia’s NeMo platform with Snowflake’s Data Cloud, enabling enterprises to build custom generative AI models using their proprietary data.
    • Q2 2024: Dataiku raises $200M in Series F funding to accelerate generative AI analytics Dataiku secured $200 million in Series F funding to further develop its generative AI-powered data analytics platform and expand its global operations.
    • Q3 2024: Microsoft launches Copilot for Power BI, bringing generative AI to business analytics Microsoft introduced Copilot for Power BI, a generative AI assistant designed to help users create data visualizations and insights using natural language queries.
    • Q3 2024: Google Cloud unveils Gemini AI for BigQuery to automate data analytics Google Cloud launched Gemini AI for BigQuery, a generative AI tool that automates data analysis and report generation for enterprise customers.
    • Q3 2024: Alteryx Appoints Suresh Vittal as Chief Product Officer to Drive Generative AI Strategy Alteryx announced the appointment of Suresh Vittal as Chief Product Officer, tasking him with leading the company’s generative AI and analytics product roadmap.
    • Q4 2024: ThoughtSpot acquires Mode Analytics to boost AI-driven data analytics ThoughtSpot completed the acquisition of Mode Analytics, aiming to enhance its generative AI capabilities for business intelligence and data analytics.
    • Q4 2024: Qlik launches Qlik Staige, a generative AI platform for enterprise analytics Qlik announced the launch of Qlik Staige, a new generative AI platform designed to help enterprises automate data analysis and generate insights using natural language.
    • Q1 2025: SAP and OpenAI announce partnership to embed generative AI in SAP Analytics Cloud SAP and OpenAI revealed a strategic partnership to integrate OpenAI’s generative AI models into SAP Analytics Cloud, enabling advanced data analysis and reporting features.
    • Q1 2025: Oracle launches AI-powered analytics suite for enterprise customers Oracle introduced a new suite of AI-powered analytics tools, leveraging generative AI to automate data preparation, analysis, and visualization for business users.
    • Q2 2025: Palantir launches AIP Data Analyst, a generative AI tool for enterprise analytics Palantir announced the launch of AIP Data Analyst, a generative AI-powered tool designed to help enterprises automate data exploration and generate actionable insights.
    • Q2 2025: Salesforce unveils Einstein Copilot for Tableau, bringing generative AI to data visualization Salesforce launched Einstein Copilot for Tableau, a generative AI assistant that enables users to create data visualizations and dashboards using conversational queries.

    Future Outlook

    Generative AI in Data Analytics Market Future Outlook

    The Generative AI in Data Analytics Market is poised for growth at 59.22% CAGR from 2025 to 2035, driven by advancements in machine learning, data processing capabilities, and increasing demand for predictive analytics.

    New opportunities lie in:

    • Develop tailored AI solutions for niche industries to enhance data-driven decision-making.
    • Invest in partnerships with cloud service providers to expand AI analytics capabilities.
    • Leverage real-time data integration tools to improve operational efficiency and insights.

    By 2035, the market is expected to achieve substantial growth, solidifying its role in data analytics.

    Market Segmentation

    Report Scope

    Report Attribute/Metric Details
    Market Size 2024 5.14 (USD Million)
    Market Size 2025 8.18 (USD Million)
    Market Size 2035 857.40 (USD Million)
    Compound Annual Growth Rate (CAGR) 59.22% (2025 - 2035)
    Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    Base Year 2024
    Market Forecast Period 2025 - 2035
    Historical Data 2019 - 2023
    Market Forecast Units USD Million
    Segments Covered Technology, Deployment, and Application
    Geographies Covered Europe, North America, Asia-Pacific, Middle East & Africa, and South America
    Countries Covered The U.S, Germany, Canada, U.K., Italy, France, Spain, Japan, China, Australia, India, South Korea, and Brazil
    Key Companies Profiled Google, General Electric, IBM Corporation, Microsoft, Opower, Eneco, Salesforce, Adobe, NVIDIA Corporation, Hugging Face, and Others.
    Key Market Opportunities Demand of Generative AI in Data Analytics in Inventory management
    Key Market Dynamics Increasing adoption of cloud computingDevelopment of new generative AI algorithms

    Market Highlights

    Author

    Aarti Dhapte
    Team Lead - Research

    She holds an experience of about 6+ years in market research and business consulting, working under the spectrum of information communication technology, telecommunications and semiconductor domains. aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

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    FAQs

    How much is Generative AI in Data Analytics market?

    Applied Generative AI in Data Analytics market was valued at USD 538.49 Million in 2034

    What is the growth rate of the Generative AI in Data Analytics market?

    The global market is projected to grow at a CAGR of 59.22% during the forecast period, 2025-2034.

    Which region held the largest market share in the Generative AI in Data Analytics market?

    North America had the largest share of the global market.

    Who are the key players in the Generative AI in Data Analytics market?

    The key players in the market are Microsoft, IBM, Google, Amazon.com, Inc. and Eneco.

    1. Table of Contents
    2. Executive Summary
      1. Market Attractiveness Analysis
        1. Global Generative AI in Data Analytics market, By Deployment
        2. Global Generative AI in Data Analytics market, By Technology
        3. Global Generative AI in Data Analytics market, by Application
        4. Global Generative AI in Data Analytics market, by Region
    3. Market Introduction
      1. Definition
      2. Scope of the Study
      3. Market Structure
      4. Key Buying Criteria
      5. Macro Factor Indicator Analysis
    4. Research Methodology
      1. Research Process
      2. Primary Research
      3. Secondary Research
      4. Market Size Estimation
      5. Forecast Model
      6. List of Assumptions
    5. MARKET DYNAMICS
      1. Introduction
      2. Drivers
        1. Data generation and forecasting
        2. Driver 2
        3. Driver impact analysis
      3. Restraints
        1. High Cost of artificial intelligence precision farming
        2. Restraint impact analysis
      4. Opportunities
        1. Technological advancements in AI algorithms
      5. Challenges
        1. Generative AI models can be biased
      6. Covid-19 Impact Analysis
      7. Impact Analysis of COVID-19
        1. Impact on Overall Energy & Deep learning Industry
        2. Impact on Generative AI in Data Analytics Market
        3. Impact on Market Demand of Generative AI in Data Analytics Market
    6. MARKET FACTOR ANALYSIS
      1. Value Chain Analysis/Supply Chain Analysis
      2. Porter’s Five Forces Model
        1. Bargaining Power of Suppliers
        2. Bargaining Power of Buyers
        3. Threat of New Entrants
        4. Threat of Substitutes
        5. Intensity of Rivalry
    7. GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY DEPLOYMENT
      1. Introduction
      2. Cloud-Based
      3. On-premise
    8. GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY APPLICATION
      1. Introduction
      2. Data Augmentation
      3. Anomaly Detection
      4. Text Generation
      5. Simulation and Forecasting
    9. GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY TECHNOLOGY
      1. Introduction
      2. Machine learning
      3. Natural Language Processing
      4. Deep learning
      5. Computer vision
      6. Robotic Process Automation
    10. GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET SIZE ESTIMATION & FORECAST, BY REGION
      1. Introduction
      2. North America
        1. Market Estimates & Forecast, by Country, 2019-2032
        2. Market Estimates & Forecast, By Technology, 2019-2032
        3. Market Estimates & Forecast, by Application, 2019-2032
        4. Market Estimates & Forecast, By Deployment Type, 2019-2032
        5. US
        6. Canada
        7. Mexico
      3. Europe
        1. Market Estimates & Forecast, by Country, 2019-2032
        2. Market Estimates & Forecast, By Technology, 2019-2032
        3. Market Estimates & Forecast, by Application, 2019-2032
        4. Market Estimates & Forecast, By Deployment Type, 2019-2032
        5. UK
        6. Germany
        7. France
        8. Italy
        9. Spain
        10. Rest of Europe
      4. Asia-Pacific
        1. Market Estimates & Forecast, by Country, 2019-2032
        2. Market Estimates & Forecast, By Technology, 2019-2032
        3. Market Estimates & Forecast, by Application, 2019-2032
        4. Market Estimates & Forecast, By Deployment Type, 2019-2032
        5. China
        6. Japan
        7. India
        8. South Korea
        9. Rest of Asia-Pacific
      5. Rest of the World
        1. Market Estimates & Forecast, By Technology, 2019-2032
        2. Market Estimates & Forecast, by Application, 2019-2032
        3. Market Estimates & Forecast, By Deployment Type, 2019-2032
        4. Middle East
        5. Africa
        6. Latin America
    11. Competitive Landscape
      1. Introduction
      2. Key Developments & Growth Strategies
      3. Competitor Benchmarking
      4. Vendor Share Analysis, 2022(% Share)
    12. COMPANY PROFILES
      1. Google
        1. Company Overview
        2. Financial Overview
        3. Cloud-Based/ On-premise Offerred
        4. Key Market Developments
        5. SWOT Analysis
        6. Key Strategies
      2. General Electric
      3. IBM Corporation
      4. Microsoft
      5. Opower
      6. Eneco
      7. Salesforce, Inc
      8. Adobe
      9. NVIDIA Corporation
      10. Hugging Face
      11. Tesla
    13. List of Tables and Figures
      1. LIST OF TABLES
      2. TABLE 1 MARKET SYNOPSIS
      3. TABLE 3 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY TECHNOLOGY , 2019-2032 (USD MILLION)
      4. TABLE 4 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY APPLICATION, 2019-2032 (USD MILLION)
      5. TABLE 5 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      6. TABLE 6 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY REGION, 2019-2032 (USD MILLION)
      7. TABLE 7 NORTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY COUNTRY, 2019-2032 (USD MILLION)
      8. TABLE 9 NORTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      9. TABLE 10 NORTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      10. TABLE 11 NORTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      11. TABLE 13 US GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      12. TABLE 14 US GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      13. TABLE 15 US GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      14. TABLE 17 CANADA GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      15. TABLE 18 CANADA GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      16. TABLE 19 CANADA GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      17. TABLE 21 MEXICO GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      18. TABLE 22 MEXICO GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      19. TABLE 23 MEXICO GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      20. TABLE 24 EUROPE GENERATIVE AI IN DATA ANALYTICS MARKET, BY COUNTRY, 2019-2032 (USD MILLION)
      21. TABLE 26 EUROPE GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      22. TABLE 27 EUROPE GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      23. TABLE 28 EUROPE GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      24. TABLE 30 UK GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      25. TABLE 31 UK GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      26. TABLE 32 UK GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      27. TABLE 34 GERMANY GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      28. TABLE 35 GERMANY GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      29. TABLE 36 GERMANY GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      30. TABLE 38 FRANCE GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      31. TABLE 39 FRANCE GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      32. TABLE 40 FRANCE GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      33. TABLE 42 SPAIN GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      34. TABLE 43 SPAIN GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      35. TABLE 44 SPAIN GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      36. TABLE 46 ITALY GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      37. TABLE 47 ITALY GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      38. TABLE 48 ITALY GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      39. TABLE 50 REST OF EUROPE GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      40. TABLE 51 REST OF EUROPE GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      41. TABLE 52 REST OF EUROPE GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      42. TABLE 53 ASIA-PACIFIC GENERATIVE AI IN DATA ANALYTICS MARKET, BY COUNTRY, 2019-2032 (USD MILLION)
      43. TABLE 55 ASIA-PACIFIC GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      44. TABLE 56 ASIA-PACIFIC GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      45. TABLE 57 ASIA-PACIFIC GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      46. TABLE 59 CHINA GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      47. TABLE 60 CHINA GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      48. TABLE 61 CHINA GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      49. TABLE 63 JAPAN GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      50. TABLE 64 JAPAN GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      51. TABLE 65 JAPAN GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      52. TABLE 67 INDIA GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      53. TABLE 68 INDIA GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      54. TABLE 69 INDIA GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      55. TABLE 71 SOUTH KOREA GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      56. TABLE 72 SOUTH KOREA GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      57. TABLE 73 SOUTH KOREA GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      58. TABLE 75 REST OF ASIA-PACIFIC GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      59. TABLE 76 REST OF ASIA-PACIFIC GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      60. TABLE 77 REST OF ASIA-PACIFIC GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      61. TABLE 79 REST OF THE WORLD GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      62. TABLE 80 REST OF THE WORLD GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      63. TABLE 81 REST OF THE WORLD GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      64. TABLE 83 MIDDLE EAST GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      65. TABLE 84 MIDDLE EAST GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      66. TABLE 85 MIDDLE EAST GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      67. TABLE 87 AFRICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      68. TABLE 88 AFRICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      69. TABLE 89 AFRICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      70. TABLE 91 SOUTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2019-2032 (USD MILLION)
      71. TABLE 92 SOUTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019-2032 (USD MILLION)
      72. TABLE 93 SOUTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2019-2032 (USD MILLION)
      73. TABLE 94 BUSINESS EXPANSIONS/PRODUCT LAUNCHES
      74. TABLE 95 PARTNERSHIPS/AGREEMENTS/CONTRACTS/COLLABORATIONS
      75. TABLE 96 ACQUISITIONS/MERGERS
      76. TABLE 97 GOOGLE LLC. : PRODUCTS OFFERED
      77. TABLE 98 GOOGLE LLC. : KEY DEVELOPMENT
      78. TABLE 99 GENERAL ELECTRIC: PRODUCTS OFFERED
      79. TABLE 100 GENERAL ELECTRIC: KEY DEVELOPMENT
      80. TABLE 101 IBM CORPORATION : PRODUCTS OFFERED
      81. TABLE 102 IBM CORPORATION : KEY DEVELOPMENT
      82. TABLE 103 MICROSOFT CORPORATION : PRODUCTS OFFERED
      83. TABLE 104 MICROSOFT CORPORATION : KEY DEVELOPMENT
      84. TABLE 105 OPOWER. : PRODUCTS OFFERED
      85. TABLE 106 OPOWER. : KEY DEVELOPMENT
      86. TABLE 107 ENECO: PRODUCTS OFFERED
      87. TABLE 108 ENECO : KEY DEVELOPMENT
      88. TABLE 109 SALESFORCE, INC : PRODUCTS OFFERED
      89. TABLE 110 SALESFORCE, INC : KEY DEVELOPMENT
      90. TABLE 111 ADOBE.: PRODUCTS OFFERED
      91. TABLE 112 ADOBE.: KEY DEVELOPMENT
      92. TABLE 113 NVIDIA CORPORATION: PRODUCTS OFFERED
      93. TABLE 114 NVIDIA CORPORATION: KEY DEVELOPMENT
      94. TABLE 115 HUGGING FACE: PRODUCTS OFFERED
      95. TABLE 114 HUGGING FACE: KEY DEVELOPMENT   LIST OF FIGURES
      96. FIGURE 1 MARKET SYNOPSIS
      97. FIGURE 1 MARKET ATTRACTIVENESS ANALYSIS: GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET
      98. FIGURE 2 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET : MARKET STRUCTURE
      99. FIGURE 3 BOTTOM-UP AND TOP-DOWN APPROACHES
      100. FIGURE 4 NORTH AMERICA: GENERATIVE AI IN DATA ANALYTICS MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY COUNTRY (2022 VS 2032)
      101. FIGURE 5 EUROPE: GENERATIVE AI IN DATA ANALYTICS MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY COUNTRY (2022 VS 2032)
      102. FIGURE 6 ASIA–PACIFIC: GENERATIVE AI IN DATA ANALYTICS MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY COUNTRY (2022 VS 2032)
      103. FIGURE 7 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY COMPONENT TYPE (2022 VS 2032)
      104. FIGURE 8 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY TECHNOLOGY (2022 VS 2032)
      105. FIGURE 9 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY APPLICATION (2022 VS 2032)
      106. FIGURE 10 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY DEPLOYMENT TYPE (2022 VS 2032)
      107. FIGURE 11 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY APPLICATION (2022 VS 2032)
      108. FIGURE 12 MARKET DYNAMIC ANALYSIS OF THE GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET
      109. FIGURE 13 DRIVER IMPACT ANALYSIS
      110. FIGURE 14 RESTRAINT IMPACT ANALYSIS
      111. FIGURE 15 VALUE CHAIN: GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET
      112. FIGURE 16 Porter's Five Forces Analysis OF THE GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET
      113. FIGURE 17 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY COMPONENT TYPE, 2022 (% SHARE)
      114. FIGURE 18 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY COMPONENT TYPE, 2022 VS 2032 (USD MILLION)
      115. FIGURE 19 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY TECHNOLOGY , 2022 (% SHARE)
      116. FIGURE 20 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY TECHNOLOGY , 2022 VS 2032 (USD MILLION)
      117. FIGURE 21 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY APPLICATION, 2022 (% SHARE)
      118. FIGURE 22 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY APPLICATION, 2022 VS 2032 (USD MILLION)
      119. FIGURE 23 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY DEPLOYMENT TYPE, 2022 (% SHARE)
      120. FIGURE 24 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY DEPLOYMENT TYPE, 2022 VS 2032 (USD MILLION)
      121. FIGURE 25 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY REGION, 2022 (% SHARE)
      122. FIGURE 26 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET , BY REGION, 2022 VS 2032 (USD MILLION)
      123. FIGURE 27 NORTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY COUNTRY, 2022 (% SHARE)
      124. FIGURE 28 NORTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY COUNTRY, 2022 VS 2032 (USD MILLION)
      125. FIGURE 29 NORTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY COMPONENT TYPE, 2022-2032 (USD MILLION)
      126. FIGURE 30 NORTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2022-2032 (USD MILLION)
      127. FIGURE 31 NORTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2022-2032 (USD MILLION)
      128. FIGURE 32 NORTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2022-2032 (USD MILLION)
      129. FIGURE 33 EUROPE GENERATIVE AI IN DATA ANALYTICS MARKET, BY COUNTRY, 2022 (% SHARE)
      130. FIGURE 34 EUROPE GENERATIVE AI IN DATA ANALYTICS MARKET, BY COUNTRY, 2022 VS 2032 (USD MILLION)
      131. FIGURE 36 EUROPE GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2022-2032 (USD MILLION)
      132. FIGURE 37 EUROPE GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2022-2032 (USD MILLION)
      133. FIGURE 38 EUROPE GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2022-2032 (USD MILLION)
      134. FIGURE 39 ASIA-PACIFIC GENERATIVE AI IN DATA ANALYTICS MARKET, BY COUNTRY, 2022 (% SHARE)
      135. FIGURE 40 ASIA-PACIFIC GENERATIVE AI IN DATA ANALYTICS MARKET, BY COUNTRY, 2022 VS 2032 (USD MILLION)
      136. FIGURE 42 ASIA-PACIFIC GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2022-2032 (USD MILLION)
      137. FIGURE 43 ASIA-PACIFIC GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2022-2032 (USD MILLION)
      138. FIGURE 44 ASIA-PACIFIC GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2022-2032 (USD MILLION)
      139. FIGURE 46 REST OF THE WORLD GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2022-2032 (USD MILLION)
      140. FIGURE 47 REST OF THE WORLD GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2022-2032 (USD MILLION)
      141. FIGURE 48 REST OF THE WORLD GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2022-2032 (USD MILLION)
      142. FIGURE 50 MIDDLE EAST GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2022-2032 (USD MILLION)
      143. FIGURE 51 MIDDLE EAST GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2022-2032 (USD MILLION)
      144. FIGURE 52 MIDDLE EAST GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2022-2032 (USD MILLION)
      145. FIGURE 54 AFRICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2022-2032 (USD MILLION)
      146. FIGURE 55 AFRICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2022-2032 (USD MILLION)
      147. FIGURE 56 AFRICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2022-2032 (USD MILLION)
      148. FIGURE 58 SOUTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY , 2022-2032 (USD MILLION)
      149. FIGURE 59 SOUTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2022-2032 (USD MILLION)
      150. FIGURE 60 SOUTH AMERICA GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT TYPE, 2022-2032 (USD MILLION)
      151. FIGURE 61 GLOBAL GENERATIVE AI IN DATA ANALYTICS MARKET : COMPETITIVE BENCHMARKING
      152. FIGURE 62 VENDOR SHARE ANALYSIS (2022) (%)
      153. FIGURE 65 GOOGLE LLC : FINANCIAL OVERVIEW SNAPSHOT
      154. FIGURE 66 GOOGLE LLC : SWOT ANALYSIS
      155. FIGURE 67 GENERAL ELECTRIC: FINANCIAL OVERVIEW SNAPSHOT
      156. FIGURE 68 GENERAL ELECTRIC: SWOT ANALYSIS
      157. FIGURE 69 IBM CORPORATION: FINANCIAL OVERVIEW SNAPSHOT
      158. FIGURE 70 IBM CORPORATION: SWOT ANALYSIS
      159. FIGURE 71 MICROSOFT CORPORATION. : FINANCIAL OVERVIEW SNAPSHOT
      160. FIGURE 72 MICROSOFT CORPORATION. : SWOT ANALYSIS
      161. FIGURE 73 OPOWER: FINANCIAL OVERVIEW SNAPSHOT
      162. FIGURE 74 OPOWER: SWOT ANALYSIS
      163. FIGURE 75 ENECO : FINANCIAL OVERVIEW SNAPSHOT
      164. FIGURE 76 ENECO: SWOT ANALYSIS
      165. FIGURE 77 SALESFORCE, INC: FINANCIAL OVERVIEW SNAPSHOT
      166. FIGURE 78 SALESFORCE, INC: SWOT ANALYSIS
      167. FIGURE 79 ADOBE.: FINANCIAL OVERVIEW SNAPSHOT
      168. FIGURE 80 ADOBE.: SWOT ANALYSIS
      169. FIGURE 81 NVIDIA CORPORATION : FINANCIAL OVERVIEW SNAPSHOT
      170. FIGURE 82 NVIDIA CORPORATION: SWOT ANALYSIS
      171. FIGURE 81 HUGGING FACE: FINANCIAL OVERVIEW SNAPSHOT
      172. FIGURE 82 HUGGING FACE: SWOT ANALYSIS

    Generative AI in Data Analytics Market Segmentation

    Market Segmentation Overview

    • Detailed segmentation data will be available in the full report
    • Comprehensive analysis by multiple parameters
    • Regional and country-level breakdowns
    • Market size forecasts by segment
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