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    GCC Generative Ai In Data Analytics Market

    ID: MRFR/ICT/58540-HCR
    200 Pages
    Garvit Vyas
    September 2025

    GCC Generative AI in Data Analytics Market Research Report: By Deployment (Cloud-Based, On-premise), By Technology (Machine learning, Natural Language Processing, Deep learning, Computer vision, Robotic Process Automation) and By Application (Data Augmentation, Anomaly Detection, Text Generation, Simulation and Forecasting) - Forecast to 2035

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    Table of Contents

    GCC Generative Ai In Data Analytics Market Summary

    The GCC Generative AI in Data Analytics market is projected to grow from 1.5 USD Billion in 2024 to 7.5 USD Billion by 2035, reflecting a robust CAGR of 15.76%.

    Key Market Trends & Highlights

    GCC Generative AI in Data Analytics Key Trends and Highlights

    • The market is expected to expand significantly, reaching 7.5 USD Billion by 2035.
    • A compound annual growth rate of 15.76% is anticipated from 2025 to 2035.
    • In 2024, the market valuation stands at 1.5 USD Billion, indicating a strong starting point for growth.
    • Growing adoption of generative AI technologies due to increasing demand for data-driven insights is a major market driver.

    Market Size & Forecast

    2024 Market Size 1.5 (USD Billion)
    2035 Market Size 7.5 (USD Billion)
    CAGR (2025 - 2035) 15.76%

    Major Players

    Saudi Aramco (SA), Qatar National Bank (QA), Emirates NBD (AE), Etisalat (AE), National Commercial Bank (SA), Oman Telecommunications Company (OM), Kuwait Finance House (KW), Bahrain Telecommunications Company (BH), Al Rajhi Bank (SA)

    GCC Generative Ai In Data Analytics Market Trends

    Businesses' increasing emphasis on data-driven decision-making is driving notable market trends in the GCC Generative AI in Data Analytics Market. The GCC's governments are supporting digital transformation projects because they understand how crucial artificial intelligence is to boosting economic expansion.

    For instance, the UAE’s National Artificial Intelligence Strategy aims to position the country as a global hub for AI by 2031, which directly supports the adoption of generative AI technologies in data analytics. There are multiple opportunities to be explored within this market, particularly in sectors like healthcare, finance, and retail. Generative AI can be used by businesses to evaluate enormous volumes of data and produce insights that can increase productivity, lower expenses, and enhance customer satisfaction.

    The GCC's varied economy also provides an environment that is conducive to innovation across several sectors, increasing the need for customized AI solutions that meet regional demands and legal constraints. The generative AI ecosystem has grown more quickly in recent years due to cooperation between the public and business sectors.

    Tech firms and startups are increasingly collaborating with government agencies to create AI-based analytics solutions that can tackle regional issues.Furthermore, as stakeholders grow more conscious of the ramifications of AI technology, there is an increasing emphasis on the ethical application of AI. The GCC region is embracing generative AI in data analytics at a quick pace thanks to encouraging government regulations, new business prospects, and improved stakeholder cooperation.

    GCC Generative Ai In Data Analytics Market Drivers

    Market Segment Insights

    Generative AI in Data Analytics Market Deployment Insights

    The Deployment segment of the GCC Generative AI in Data Analytics Market is experiencing noteworthy advancements and is integral to the broader ecosystem of data solutions provided in the region. The market is bifurcated predominantly into two model types: Cloud-Based and On-premise. Cloud-Based solutions are gaining a reputation for their flexibility and scalability, allowing organizations to leverage powerful AI analytics without significant upfront investment in infrastructure. They facilitate accessibility, enabling users to access data and insights from anywhere, which is crucial for businesses that operate in a fast-paced and dynamic environment.

    Furthermore, with the increasing emphasis on data security and compliance within the GCC region, many organizations are balancing these benefits against concerns regarding data privacy and governance.

    On the other hand, On-premise solutions continue to hold significant importance, particularly among larger enterprises that may have stringent regulatory requirements or unique data security concerns. These solutions allow organizations to maintain direct control over their data environments, ensuring compliance with local laws and regulations. This is particularly pertinent in the GCC context, where governments are progressively enacting data protection legislation. Moreover, organizations that prioritize customization often find On-premise options beneficial as they allow for tailored solutions that can be adapted to specific operational needs.

    The GCC region's diverse industries, including finance, healthcare, and manufacturing, further accentuate the need for both deployment models as they seek to harness the power of generative AI to enhance their data analytics capabilities.

    Given the region's ongoing investments in smart city initiatives and digital transformation efforts, the Deployment segment is expected to see continued growth, supported by both cloud and on-premises solutions that cater to a wide array of organizational needs and preferences. In essence, the evolution of the deployment strategies in the GCC Generative AI in Data Analytics Market will likely reflect the local market demands and the overarching trends of the industry, creating opportunities for businesses to enhance their operational efficiencies and achieve data-driven insights.

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

    Generative AI in Data Analytics Market Technology Insights

    The GCC Generative AI in Data Analytics Market has shown significant promise within the Technology realm, driven by rapid advancements in data processing and analysis. Machine learning plays a crucial role, enabling systems to learn from vast datasets and make predictions, thus powering several applications across various sectors. Natural Language Processing (NLP) has emerged as a vital component, facilitating human-computer interaction by interpreting and responding to text-based inputs, which is essential in customer service automation and sentiment analysis.Deep learning, with its complex neural networks, is instrumental in handling unstructured data and is extensively utilized in image and speech recognition technologies.

    Computer vision is gaining traction as organizations seek to automate visual data interpretation, enhancing accuracy and efficiency in sectors such as healthcare and surveillance. Meanwhile, Robotic Process Automation (RPA) streamlines repetitive tasks within data analytics processes, allowing businesses to focus on higher-value tasks. This Technology segment holds particular importance as the GCC region continues to invest in digital transformation and smart city initiatives, fostering an environment ripe for innovation and development in generative AI applications across industries.

    Generative AI in Data Analytics Market Application Insights

    The GCC Generative AI in Data Analytics Market is witnessing significant growth within the Application segment, as it plays a crucial role in driving innovation across various industries. Key areas within this segment include Data Augmentation, Anomaly Detection, Text Generation, Simulation, and Forecasting. Data Augmentation is essential for improving model performance by expanding datasets, which is vital for the development of robust AI applications.

    Anomaly Detection has gained importance due to its ability to identify irregular patterns and potential threats in real-time, making it critical for sectors like finance and cybersecurity.Text Generation facilitates automation and content creation, serving various applications from natural language processing to customer support. Simulation and Forecasting empower businesses to predict future trends and optimize decision-making processes, thereby enhancing operational efficiency. The GCC region is increasingly investing in advanced analytics technologies, influenced by government initiatives aimed at fostering digital transformation and innovation.

    As these applications mature, they are expected to drive substantial improvements in productivity and competitiveness, aligning with the region's ambition to diversify its economy and integrate AI into various sectors.

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    Regional Insights

    Key Players and Competitive Insights

    The GCC Generative AI in Data Analytics Market presents a dynamic landscape characterized by rapid growth and evolution, driven by an increasing demand for advanced data analytics solutions. Organizations in the region are increasingly leveraging generative AI technologies to enhance their analytical capabilities, leading to more informed decision-making and strategic planning. The rising complexity of data generated across sectors such as finance, retail, and healthcare underscores the necessity for sophisticated data analytics tools powered by artificial intelligence.

    Companies in this space are focusing on developing solutions that not only streamline data processing but also facilitate deeper insights through predictive analytics and automated data interpretation. As a result, the competitive environment is intensifying with innovative offerings from various players, each striving to establish a strong foothold in this burgeoning market.Palantir Technologies has carved a significant niche within the GCC Generative AI in Data Analytics Market through its robust solutions designed for large-scale data integration and analysis.

    Known for its strengths in handling complex datasets, Palantir Technologies focuses on delivering advanced analytics capabilities that empower organizations to make data-driven decisions swiftly. The company’s platforms allow for real-time data processing and collaboration across departments, enhancing operational efficiency. Palantir has successfully partnered with government and enterprise clients in the GCC, providing them with the tools necessary to harness their data assets effectively.

    This strategic presence is bolstered by Palantir's commitment to customizing solutions that cater specifically to the unique challenges faced by clients in the region, thereby establishing itself as a trusted leader in data analytics.Salesforce is emerging as a key leader in the GCC Generative AI in Data Analytics market through major investments, advanced AI platforms, and regional partnerships. In 2025, it announced a $500 million investment in Saudi Arabia, launching local data centers via Hyperforce to meet data residency regulations. Its AI platform, Agentforce, enables autonomous digital agents for customer service, sales, and marketing, significantly enhancing operational efficiency.

    Combined with Data Cloud and Einstein GPT, Salesforce provides real-time analytics and generative AI across industries. The company’s partnerships with regional governments and firms, along with its acquisition of Informatica to strengthen data management, underline its strategic commitment. Events like the Agentforce World Tour Dubai further cement Salesforce’s leadership in AI-powered enterprise transformation across the GCC.

    Bottom of Form

    Key Companies in the GCC Generative Ai In Data Analytics Market market include

    Industry Developments

    Recent developments in Generative AI in Data Analytics Market within the GCC have been notable, particularly with several companies rapidly advancing their AI capabilities. In September 2023, Microsoft announced enhancements to its Azure AI services, targeting clients in the GCC by offering tailored solutions that address local data security regulations. Palantir Technologies expanded its partnerships in the Gulf region, enabling better data integration for businesses. Meanwhile, SAP and Salesforce have jointly developed generative AI tools specifically designed for retail analytics, enhancing operational efficiency for regional businesses.

    The market valuation for companies like Amazon and Google has significantly increased, driven by investments in infrastructure and Research and Development related to AI capabilities. Additionally, C3.ai and IBM have been actively collaborating with regional governments to bolster smart city initiatives, showcasing the rising interest in AI-driven analytics in public sectors. These activities highlight the dynamic nature of the GCC market and its commitment to becoming a hub for AI innovation.

    Market Segmentation

    Generative AI in Data Analytics Market Deployment Outlook

    • Machine learning
    • Natural Language Processing
    • Deep learning
    • Computer vision
    • Robotic Process Automation

    Generative AI in Data Analytics Market Technology Outlook

    • Data Augmentation
    • Anomaly Detection
    • Text Generation
    • Simulation and Forecasting

    Generative AI in Data Analytics Market Application Outlook

    • Data Augmentation
    • Anomaly Detection
    • Text Generation
    • Simulation and Forecasting

    Report Scope

    Report Attribute/Metric Source: Details
    MARKET SIZE 2018 0.07(USD Million)
    MARKET SIZE 2024 0.12(USD Million)
    MARKET SIZE 2035 0.26(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 7.68% (2025 - 2035)
    REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR 2024
    MARKET FORECAST PERIOD 2025 - 2035
    HISTORICAL DATA 2019 - 2024
    MARKET FORECAST UNITS USD Million
    KEY COMPANIES PROFILED Palantir Technologies, Qlik, SAP, Snowflake, Amazon, Google, C3.ai, Microsoft, DataRobot, SAS Institute, Oracle, IBM, Tableau, Salesforce, H2O.ai
    SEGMENTS COVERED Deployment, Technology, Application
    KEY MARKET OPPORTUNITIES Predictive analytics for decision-making, Enhanced customer personalization solutions, Automated reporting and dashboarding, Intelligent data governance frameworks, Real-time data processing capabilities
    KEY MARKET DYNAMICS Rapid technology adoption, Increasing demand for automation, Growing data complexity, Enhanced decision-making capabilities, Strong government support
    COUNTRIES COVERED GCC

    Market Highlights

    Author
    Garvit Vyas
    Analyst

    Explore the profile of Garvit Vyas, one of our esteemed authors at Market Research Future, and access their expert research contributions in the field of market research and industry analysis

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    FAQs

    What is the expected market size of the GCC Generative AI in Data Analytics Market in 2024?

    The expected market size of the GCC Generative AI in Data Analytics Market in 2024 is valued at 0.12 million USD.

    What will be the market value of the GCC Generative AI in Data Analytics Market by 2035?

    By 2035, the market value of the GCC Generative AI in Data Analytics Market is projected to reach 0.26 million USD.

    What is the anticipated CAGR for the GCC Generative AI in Data Analytics Market from 2025 to 2035?

    The anticipated CAGR for the GCC Generative AI in Data Analytics Market from 2025 to 2035 is 7.68%.

    Which segments are driving the GCC Generative AI in Data Analytics Market?

    The market is driven by cloud-based and on-premise deployment segments.

    What are the estimated values for cloud-based deployment in 2024 and 2035?

    Cloud-based deployment is estimated to be valued at 0.07 million USD in 2024 and 0.16 million USD in 2035.

    What will the on-premise deployment value be in the GCC Generative AI in Data Analytics Market by 2035?

    The on-premise deployment value is expected to reach 0.1 million USD by 2035.

    Who are the key players in the GCC Generative AI in Data Analytics Market?

    Key players include Palantir Technologies, Qlik, SAP, Snowflake, Amazon, Google, and Microsoft.

    How are global market trends impacting the GCC Generative AI in Data Analytics Market?

    Global trends are creating significant opportunities and challenges for growth in the market.

    What growth drivers are influencing the Generative AI in Data Analytics Market in the GCC region?

    Growth drivers include increasing demand for data-driven insights and advancements in AI technologies.

    What is the expected growth rate for the GCC Generative AI in Data Analytics Market from 2025 to 2035?

    The GCC Generative AI in Data Analytics Market is expected to experience a growth rate of 7.68% from 2025 to 2035.

    1. EXECUTIVE SUMMARY
    2. Market Overview
      1. Key Findings
      2. Market Segmentation
    3. Competitive Landscape
      1. Challenges and Opportunities
      2. Future Outlook
    4. MARKET INTRODUCTION
      1. Definition
    5. Scope of the study
      1. Research Objective
        1. Assumption
    6. Limitations
    7. RESEARCH METHODOLOGY
      1. Overview
      2. Data Mining
      3. Secondary Research
      4. Primary Research
        1. Primary Interviews
    8. and Information Gathering Process
      1. Breakdown of Primary Respondents
      2. Forecasting Model
      3. Market Size Estimation
        1. Bottom-Up
    9. Approach
      1. Top-Down Approach
      2. Data Triangulation
    10. Validation
    11. MARKET DYNAMICS
      1. Overview
    12. Drivers
      1. Restraints
      2. Opportunities
    13. MARKET FACTOR ANALYSIS
      1. Value chain Analysis
      2. Porter's Five Forces Analysis
    14. Bargaining Power of Suppliers
      1. Bargaining Power of Buyers
    15. Threat of New Entrants
      1. Threat of Substitutes
        1. Intensity
    16. of Rivalry
      1. COVID-19 Impact Analysis
        1. Market Impact Analysis
        2. Regional Impact
        3. Opportunity and Threat Analysis
    17. GCC GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT (USD MILLION)
      1. Cloud-Based
      2. On-premise
    18. GCC GENERATIVE AI IN DATA
    19. ANALYTICS MARKET, BY TECHNOLOGY (USD MILLION)
      1. Machine learning
    20. Natural Language Processing
      1. Deep learning
      2. Computer vision
      3. Robotic Process Automation
    21. GCC GENERATIVE AI IN DATA ANALYTICS
    22. MARKET, BY APPLICATION (USD MILLION)
      1. Data Augmentation
      2. Anomaly
    23. Detection
      1. Text Generation
      2. Simulation and Forecasting
    24. COMPETITIVE LANDSCAPE
      1. Overview
      2. Competitive Analysis
      3. Market share Analysis
      4. Major Growth Strategy in the Generative
    25. AI in Data Analytics Market
      1. Competitive Benchmarking
      2. Leading
    26. Players in Terms of Number of Developments in the Generative AI in Data Analytics
    27. Market
      1. Key developments and growth strategies
        1. New Product
    28. Launch/Service Deployment
      1. Merger & Acquisitions
        1. Joint
    29. Ventures
      1. Major Players Financial Matrix
        1. Sales and Operating
    30. Income
      1. Major Players R&D Expenditure. 2023
    31. COMPANY PROFILES
      1. Palantir Technologies
        1. Financial Overview
    32. Products Offered
      1. Key Developments
        1. SWOT Analysis
        2. Key Strategies
      2. Qlik
        1. Financial Overview
    33. Products Offered
      1. Key Developments
        1. SWOT Analysis
        2. Key Strategies
      2. SAP
        1. Financial Overview
    34. Products Offered
      1. Key Developments
        1. SWOT Analysis
        2. Key Strategies
      2. Snowflake
        1. Financial Overview
        2. Products Offered
        3. Key Developments
        4. SWOT
    35. Analysis
      1. Key Strategies
      2. Amazon
        1. Financial
    36. Overview
      1. Products Offered
        1. Key Developments
    37. SWOT Analysis
      1. Key Strategies
      2. Google
        1. Financial
    38. Overview
      1. Products Offered
        1. Key Developments
    39. SWOT Analysis
      1. Key Strategies
      2. C3.ai
        1. Financial
    40. Overview
      1. Products Offered
        1. Key Developments
    41. SWOT Analysis
      1. Key Strategies
      2. Microsoft
        1. Financial
    42. Overview
      1. Products Offered
        1. Key Developments
    43. SWOT Analysis
      1. Key Strategies
      2. DataRobot
        1. Financial
    44. Overview
      1. Products Offered
        1. Key Developments
    45. SWOT Analysis
      1. Key Strategies
      2. SAS Institute
    46. Financial Overview
      1. Products Offered
        1. Key Developments
        2. SWOT Analysis
        3. Key Strategies
      2. Oracle
        1. Financial Overview
        2. Products Offered
        3. Key
    47. Developments
      1. SWOT Analysis
        1. Key Strategies
    48. IBM
      1. Financial Overview
        1. Products Offered
    49. Key Developments
      1. SWOT Analysis
        1. Key Strategies
      2. Tableau
        1. Financial Overview
        2. Products Offered
        3. Key Developments
        4. SWOT Analysis
        5. Key
    50. Strategies
      1. Salesforce
        1. Financial Overview
    51. Products Offered
      1. Key Developments
        1. SWOT Analysis
        2. Key Strategies
      2. H2O.ai
        1. Financial Overview
        2. Products Offered
        3. Key Developments
        4. SWOT
    52. Analysis
      1. Key Strategies
    53. APPENDIX
      1. References
      2. Related Reports
    54. BY DEPLOYMENT, 2019-2035 (USD BILLIONS)
    55. ANALYTICS MARKET SIZE ESTIMATES & FORECAST, BY TECHNOLOGY, 2019-2035 (USD BILLIONS)
    56. BY APPLICATION, 2019-2035 (USD BILLIONS)
    57. LIST
    58. OF FIGURES
    59. IN DATA ANALYTICS MARKET ANALYSIS BY DEPLOYMENT
    60. IN DATA ANALYTICS MARKET ANALYSIS BY TECHNOLOGY
    61. IN DATA ANALYTICS MARKET ANALYSIS BY APPLICATION
    62. OF GENERATIVE AI IN DATA ANALYTICS MARKET
    63. DRIVERS IMPACT ANALYSIS: GENERATIVE AI IN DATA ANALYTICS MARKET
    64. RESTRAINTS IMPACT ANALYSIS: GENERATIVE AI IN DATA ANALYTICS MARKET
    65. SUPPLY / VALUE CHAIN: GENERATIVE AI IN DATA ANALYTICS MARKET
    66. GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT, 2025 (% SHARE)
    67. GENERATIVE AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT, 2019 TO 2035 (USD Billions)
    68. SHARE)
    69. TO 2035 (USD Billions)
    70. BY APPLICATION, 2025 (% SHARE)
    71. MARKET, BY APPLICATION, 2019 TO 2035 (USD Billions)
    72. OF MAJOR COMPETITORS

    GCC Generative AI in Data Analytics Market Segmentation

    • Generative AI in Data Analytics Market By Deployment (USD Million, 2019-2035)

      • Cloud-Based
      • On-premise

    • Generative AI in Data Analytics Market By Technology (USD Million, 2019-2035)

      • Machine learning
      • Natural Language Processing
      • Deep learning
      • Computer vision
      • Robotic Process Automation

    • Generative AI in Data Analytics Market By Application (USD Million, 2019-2035)

      • Data Augmentation
      • Anomaly Detection
      • Text Generation
      • Simulation and Forecasting

     

     

     

     

     

     

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