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

GCC Generative AI in Data Analytics Market Overview:

As per MRFR analysis, the GCC Generative AI in Data Analytics Market Size was estimated at 0.07 (USD Million) in 2023. The GCC Generative AI in Data Analytics Market Industry is expected to grow from 0.12(USD Million) in 2024 to 0.27 (USD Million) by 2035. The GCC Generative AI in Data Analytics Market CAGR (growth rate) is expected to be around 7.68% during the forecast period (2025 - 2035).

Key GCC Generative AI in Data Analytics Market Trends Highlighted

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.

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

GCC Generative AI in Data Analytics Market Drivers

Growing Demand for Data-Driven Decision Making

The GCC region is witnessing a significant shift towards data-driven decision making as organizations strive to enhance their operational efficiency and strategic capabilities. According to a report from the Gulf Cooperation Council, businesses are increasingly relying on advanced data analytics solutions to drive insights and improve their profitability. This transition has been propelled by the digital transformation initiatives across various sectors including finance, healthcare, and retail, where organizations such as Saudi Aramco and Emirates National Oil Company (ENOC) are investing heavily in data analytics technologies.Notably, a study from the Saudi Data and Artificial Intelligence Authority indicates that a significant 78% of organizations in Saudi Arabia intend to implement data analytics solutions by 2025, further highlighting the critical role of data-driven approaches in business growth within the GCC Generative AI in Data Analytics Market Industry.

Government Initiatives and Investments

Gulf Cooperation Council member states are making significant investments in artificial intelligence and data analytics as part of their national Vision initiatives. For example, the UAE's Vision 2021 aims to position the nation as a global leader in AI adoption, with substantial funding allocated towards research and development in data analytics capabilities. The establishment of the Bahrain Economic Development Board also reflects the push towards leveraging data insights to drive economic growth.Furthermore, the Kuwait Government has launched various programs to enhance IT infrastructure, promoting a conducive environment for the development and integration of emerging technologies. These strategic initiatives underline the commitment of GCC governments to advance the capabilities of the regional Generative AI in Data Analytics Market Industry.

Increase in High-Performance Computing Resources

The rise of high-performance computing resources in the GCC region is significantly contributing to the capabilities of Generative AI in Data Analytics. Organizations such as the National Center for Digital Transformation in Qatar are investing in state-of-the-art computing technologies to analyze large datasets efficiently. As a result, industries across the GCC, including telecommunications and finance, are increasingly capable of utilizing advanced analytics to derive actionable insights.Data from the Digital Qatar National Strategy indicates an anticipated increase in computational capacities, with 40% of organizations planning to upgrade their IT infrastructure over the next 5 years. This enhancement directly supports the growth of the GCC Generative AI in Data Analytics Market Industry.

GCC Generative AI in Data Analytics 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, MRFR 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.

GCC Generative AI in Data Analytics Market 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 Include:

• Palantir
• SAP
• Microsoft
• Google
• AWS
• C3.ai
• Salesforce
• IBM
• DataRobot

GCC Generative AI in Data Analytics Market 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.

GCC Generative AI in Data Analytics Market Segmentation Insights

• Generative AI in Data Analytics Market Deployment Outlook

  • Cloud-Based
  • On-premise

• Generative AI in Data Analytics Market Technology Outlook

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

• Generative AI in Data Analytics Market Application Outlook

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

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