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    GCC Data Science Platform Market

    ID: MRFR/ICT/58290-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    GCC Data Science Platform Market Research Report By Business Function (marketing, sales, logistics, human resources), By Deployment (on-demand, on-premises) and By Verticals (BFSI, healthcare, retail, IT, transportation)- Forecast to 2035

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    GCC Data Science Platform Market Research Report - Forecast to 2035 Infographic
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    Table of Contents

    GCC Data Science Platform Market Summary

    The GCC Data Science Platform market is projected to grow from 3.5 USD billion in 2024 to 9 USD billion by 2035, reflecting a robust growth trajectory.

    Key Market Trends & Highlights

    GCC Data Science Platform Key Trends and Highlights

    • The GCC Data Science Platform market is valued at 3.5 USD billion in 2024.
    • By 2035, the market is expected to reach 9 USD billion, indicating substantial growth.
    • The compound annual growth rate (CAGR) for the period from 2025 to 2035 is estimated at 8.97%.
    • Growing adoption of data analytics technologies due to increasing demand for data-driven decision making is a major market driver.

    Market Size & Forecast

    2024 Market Size 3.5 (USD Billion)
    2035 Market Size 9 (USD Billion)
    CAGR (2025-2035) 8.97%

    Major Players

    QNAM, SAP, Informatica, Stirista, Quantiphi, Google, Tableau, Microsoft, DataRobot, Alteryx, Oracle, IBM, SAS, Teradata, Amazon Web Services

    GCC Data Science Platform Market Trends

    The GCC Data Science Platform Market is seeing a number of important changes since digital transformation projects are quickly growing all throughout the region. The Gulf Cooperation-bringing together six nations, flocks of countries to work together to improve their economy by investing extensively in technology and new ideas. This change has made it easier for data science tools to be used, especially in areas like healthcare, finance, and smart city development. Businesses in the area are using data science platforms more and more because they need better analytics and the ability to analyse data in real time.

    These platforms can help them make better decisions and run their operations more efficiently.

    GCC Data Science Platform Market Drivers

    Market Segment Insights

    Data Science Platform Market Business Function Insights

    The Business Function segment within the GCC Data Science Platform Market is experiencing noteworthy growth as organizations increasingly recognize the value of data-driven decision-making across various operational areas. As the global economy shifts towards a more data-centric approach, the GCC region is seeing a surge in demand for innovative solutions that leverage data analytics to enhance efficiency and effectiveness in business operations. This transformation is particularly evident in key functions such as marketing, where businesses are utilizing data science to optimize campaigns, target audiences more effectively, and increase return on investment. 

    In the sales domain, data analytics enables teams to understand customer behavior and preferences, leading to more personalized engagement strategies that ultimately drive revenue growth. Logistics is another critical area where data science plays an essential role in streamlining supply chain operations and improving inventory management through predictive analytics. This fosters a more agile response to market demands and reduces operational costs. In human resources, organizations are employing data-driven insights to enhance recruitment processes, employee retention strategies, and workforce productivity.

    The integration of data science in HR aids in identifying talent trends and ensuring better alignment between employee skills and business needs.With the GCC countries actively investing in technology and innovation, including the implementation of data science in their national agendas, there lies significant potential for these business functions to embrace advanced analytics solutions. 

    This strategy not only aids businesses in gaining a competitive edge in their respective industries but also contributes to the region's overall economic diversification efforts. As organizations continue to harness the potential of data science, the implications for the Business Function segment are vast, unlocking opportunities for improved operational performance and strategic insights that can drive better decision-making at all levels. The continuous evolution of technology and analytics capabilities will likely facilitate further advancements in various business functions across the GCC, paving the way for sustained growth in this crucial market segment.

    GCC Data Science Platform Market Segment

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

    Data Science Platform Market Deployment Insights

    The Deployment segment of the GCC Data Science Platform Market plays a crucial role in the overall landscape of data analytics and business intelligence solutions within the region. As organizations increasingly embrace data-driven strategies, they seek flexible deployment options to meet their diverse needs. On-demand deployment solutions enable businesses to quickly scale their operations without significant upfront investments, promoting agility and responsiveness in competitive markets. On-premises solutions, on the other hand, provide enhanced security and control over sensitive data, which is especially vital in sectors like finance and healthcare prevalent in the GCC.

    The increasing focus on data privacy regulations across Gulf Cooperation Council countries further underscores the significance of on-premises deployments. As organizations navigate the evolving digital landscape, the necessity for effective deployment strategies is amplified, leading to sustained interest and investment in this segment. Additionally, the growing trend towards cloud adoption and the integration of advanced technologies such as artificial intelligence and machine learning within deployment frameworks enhance the GCC Data Science Platform Market's potential, paving the way for innovative solutions that can drive significant market growth.

    Data Science Platform Market Verticals Insights

    The GCC Data Science Platform Market has shown significant potential across various verticals, reflecting robust growth driven by the increasing need for data-driven decision-making. The banking, financial services, and insurance (BFSI) sector plays a crucial role, leveraging data science for risk assessment, fraud detection, and personalized customer service. In healthcare, data analytics enable improved patient outcomes through predictive modeling and enhanced operational efficiency, reflecting the growing emphasis on quality health services. The retail sector utilizes data science to optimize supply chains, personalize marketing efforts, and enhance customer experiences, showcasing its significance in competition.

    The IT industry incorporates data science to refine software development processes and enhance cybersecurity measures, crucial as digital transformation accelerates in the region. Additionally, the transportation sector benefits immensely from data analytics, facilitating route optimization and predictive maintenance, which is vital for improving operational efficiency. Overall, these verticals highlight the indispensable role of the GCC Data Science Platform Market, driven by continuous advancements in technology and a push towards data-centric operations in various industries across the region.

    Regional Insights

    Key Players and Competitive Insights

    The competitive landscape of the GCC Data Science Platform Market is characterized by rapid advancements in technology and increasing demand for data-driven decision-making across various industry sectors. As companies acknowledge the significant role of data in shaping their business strategies, the need for comprehensive data science platforms has elevated. Players in this market are not just focused on providing software solutions but are also integrating artificial intelligence, machine learning, and advanced analytics to enhance their offerings.

    The market is witnessing robust competition as established players and emerging startups strive to deliver innovative solutions that cater to the unique challenges of various industries, including healthcare, finance, and manufacturing. 

    Furthermore, the emphasis on data privacy and security in the Gulf Cooperation Council region propels service providers to develop resilient solutions that comply with regional regulations while maintaining user trust and driving business growth.QNAM stands out in the GCC Data Science Platform Market with its robust presence and impactful solutions tailored to local industries. The company's strengths lie in its advanced analytics capabilities and its understanding of the regional market dynamics. QNAM effectively leverages local expertise to create platforms that address specific business needs, enabling organizations to harness the power of data easily.

    This focus on customization, combined with a team of skilled professionals familiar with the GCC landscape, allows QNAM to maintain a competitive edge.

     By cultivating strong partnerships with local enterprises and continuous investment in research and development, QNAM is well-positioned to sustain growth in this evolving market landscape.SAP also maintains a significant presence in the GCC Data Science Platform Market, delivering a range of software solutions designed to empower businesses with real-time data insights. Its key products include advanced analytics tools that facilitate predictive analytics, business intelligence, and data management capabilities. SAP’s strengths lie in its strong brand recognition, extensive portfolio of solutions, and commitment to innovation, aiming to meet the demands of the diverse industries in the GCC.

    The company has been active in forming strategic alliances and partnerships to enhance its market reach, allowing it to offer comprehensive solutions that align with the business requirements of local customers. Additionally, SAP has been involved in mergers and acquisitions to integrate cutting-edge technologies into its platform, ensuring its offerings remain competitive. This proactive approach strengthens SAP's position in the GCC Data Science Platform Market and resonates well with organizations looking to invest in data-driven transformation.

    Key Companies in the GCC Data Science Platform Market market include

    Industry Developments

    The GCC Data Science Platform Market has witnessed significant developments, particularly with advancements from major players like Amazon Web Services, Microsoft, and Google. In July 2023, SAP introduced new capabilities in their data science tools focused on enhancing user experience and efficiency, catering specifically to the diverse needs of GCC businesses. Furthermore, there has been an uptick in investment funding, where Informatica raised considerable capital to expand its services in the region, directly impacting competitive dynamics.

    Notably, in September 2023, IBM announced a strategic collaboration with QNAM to develop AI-driven analytics solutions tailored for the GCC market, highlighting the demand for localized data solutions. 

    Additionally, DataRobot's integration with Alteryx has streamlined analytics processes for organizations looking to tap into data-driven decision-making.The last couple of years have seen a surge in market valuation, with reports from government sources noting a projected 15% annual growth due to heightened data adoption across various sectors. In 2022, Oracle’s strategic acquisition of a regional analytics firm enhanced its footprint in the GCC, showcasing the trend towards consolidation within the industry. Overall, these actions emphasize the critical evolution of the GCC Data Science Platform Market amid rising technological advancements.

    Market Segmentation

    Data Science Platform Market Verticals Outlook

    • BFSI
    • healthcare
    • retail
    • IT
    • transportation

    Data Science Platform Market Deployment Outlook

    • on-demand
    • on-premises

    Data Science Platform Market Business Function Outlook

    • marketing
    • sales
    • logistics
    • human resources

    Report Scope

     

    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 2.71(USD Billion)
    MARKET SIZE 2024 3.5(USD Billion)
    MARKET SIZE 2035 9.0(USD Billion)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 8.965% (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 Billion
    KEY COMPANIES PROFILED QNAM, SAP, Informatica, Stirista, Quantiphi, Google, Tableau, Microsoft, DataRobot, Alteryx, Oracle, IBM, SAS, Teradata, Amazon Web Services
    SEGMENTS COVERED Business Function, Deployment, Verticals
    KEY MARKET OPPORTUNITIES AI-driven analytics adoption, Government digital transformation initiatives, Growing demand for predictive modeling, Expansion of cloud computing services, Increased investment in data privacy solutions
    KEY MARKET DYNAMICS rising demand for analytics, increasing cloud adoption, focus on data security, skilled workforce shortage, government investment in AI
    COUNTRIES COVERED GCC

    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

    What is the expected market size of the GCC Data Science Platform Market by 2024?

    The GCC Data Science Platform Market is expected to be valued at 3.5 USD billion by 2024.

    What is the projected market size of the GCC Data Science Platform Market by 2035?

    By 2035, the GCC Data Science Platform Market is projected to reach a value of 9.0 USD billion.

    What is the anticipated CAGR for the GCC Data Science Platform Market from 2025 to 2035?

    The expected CAGR for the GCC Data Science Platform Market from 2025 to 2035 is 8.965 percent.

    Which business function segment in the GCC Data Science Platform Market has the largest share in 2024?

    In 2024, the marketing function segment holds the largest share, valued at 1.2 USD billion.

    What is the projected market value for the logistics segment in the GCC Data Science Platform Market by 2035?

    By 2035, the logistics segment is expected to be valued at 2.0 USD billion.

    Who are the key players in the GCC Data Science Platform Market?

    Major players include QNAM, SAP, Informatica, Stirista, Quantiphi, Google, Tableau, Microsoft, DataRobot, Alteryx, Oracle, IBM, SAS, Teradata, and Amazon Web Services.

    What is the expected growth for the sales segment of the GCC Data Science Platform Market by 2035?

    The sales segment is projected to grow to 2.5 USD billion by 2035.

    How much is the human resources segment valued at in 2024 within the GCC Data Science Platform Market?

    The human resources segment is valued at 0.5 USD billion in the year 2024.

    What challenges might the GCC Data Science Platform Market face in the coming years?

    The market could face challenges such as competition among key players and evolving technology demands.

    What are the growth drivers for the GCC Data Science Platform Market in the forecast period?

    Significant growth drivers include increased demand for data-driven decision-making and advancements in AI technologies.

    1. EXECUTIVE
    2. SUMMARY
    3. Market Overview
    4. Key Findings
    5. Market Segmentation
    6. Competitive Landscape
    7. Challenges and Opportunities
    8. Future Outlook
    9. MARKET INTRODUCTION
    10. Definition
    11. Scope of the study
    12. Research Objective
    13. Assumption
    14. Limitations
    15. RESEARCH
    16. METHODOLOGY
    17. Overview
    18. Data
    19. Mining
    20. Secondary Research
    21. Primary
    22. Research
    23. Primary Interviews and Information Gathering
    24. Process
    25. Breakdown of Primary Respondents
    26. Forecasting
    27. Model
    28. Market Size Estimation
    29. Bottom-Up
    30. Approach
    31. Top-Down Approach
    32. Data
    33. Triangulation
    34. Validation
    35. MARKET
    36. DYNAMICS
    37. Overview
    38. Drivers
    39. Restraints
    40. Opportunities
    41. MARKET FACTOR ANALYSIS
    42. Value chain Analysis
    43. Porter's
    44. Five Forces Analysis
    45. Bargaining Power of Suppliers
    46. Bargaining
    47. Power of Buyers
    48. Threat of New Entrants
    49. Threat
    50. of Substitutes
    51. Intensity of Rivalry
    52. COVID-19
    53. Impact Analysis
    54. Market Impact Analysis
    55. Regional
    56. Impact
    57. Opportunity and Threat Analysis
    58. GCC
    59. Data Science Platform Market, BY Business Function (USD Billion)
    60. marketing
    61. sales
    62. logistics
    63. human
    64. resources
    65. GCC Data Science
    66. Platform Market, BY Deployment (USD Billion)
    67. on-demand
    68. on-premises
    69. GCC
    70. Data Science Platform Market, BY Verticals (USD Billion)
    71. BFSI
    72. healthcare
    73. retail
    74. IT
    75. transportation
    76. Competitive Landscape
    77. Overview
    78. Competitive
    79. Analysis
    80. Market share Analysis
    81. Major
    82. Growth Strategy in the Data Science Platform Market
    83. Competitive
    84. Benchmarking
    85. Leading Players in Terms of Number of Developments
    86. in the Data Science Platform Market
    87. Key developments
    88. and growth strategies
    89. New Product Launch/Service Deployment
    90. Merger
    91. & Acquisitions
    92. Joint Ventures
    93. Major
    94. Players Financial Matrix
    95. Sales and Operating Income
    96. Major
    97. Players R&D Expenditure. 2023
    98. Company
    99. Profiles
    100. QNAM
    101. Financial
    102. Overview
    103. Products Offered
    104. Key
    105. Developments
    106. SWOT Analysis
    107. Key
    108. Strategies
    109. SAP
    110. Financial
    111. Overview
    112. Products Offered
    113. Key
    114. Developments
    115. SWOT Analysis
    116. Key
    117. Strategies
    118. Informatica
    119. Financial
    120. Overview
    121. Products Offered
    122. Key
    123. Developments
    124. SWOT Analysis
    125. Key
    126. Strategies
    127. Stirista
    128. Financial
    129. Overview
    130. Products Offered
    131. Key
    132. Developments
    133. SWOT Analysis
    134. Key
    135. Strategies
    136. Quantiphi
    137. Financial
    138. Overview
    139. Products Offered
    140. Key
    141. Developments
    142. SWOT Analysis
    143. Key
    144. Strategies
    145. Google
    146. Financial
    147. Overview
    148. Products Offered
    149. Key
    150. Developments
    151. SWOT Analysis
    152. Key
    153. Strategies
    154. Financial
    155. Overview
    156. Products Offered
    157. Key
    158. Developments
    159. SWOT Analysis
    160. Key
    161. Strategies
    162. Microsoft
    163. Financial
    164. Overview
    165. Products Offered
    166. Key
    167. Developments
    168. SWOT Analysis
    169. Key
    170. Strategies
    171. DataRobot
    172. Financial
    173. Overview
    174. Products Offered
    175. Key
    176. Developments
    177. SWOT Analysis
    178. Key
    179. Strategies
    180. Alteryx
    181. Financial
    182. Overview
    183. Products Offered
    184. Key
    185. Developments
    186. SWOT Analysis
    187. Key
    188. Strategies
    189. Oracle
    190. Financial
    191. Overview
    192. Products Offered
    193. Key
    194. Developments
    195. SWOT Analysis
    196. Key
    197. Strategies
    198. IBM
    199. Financial
    200. Overview
    201. Products Offered
    202. Key
    203. Developments
    204. SWOT Analysis
    205. Key
    206. Strategies
    207. SAS
    208. Financial
    209. Overview
    210. Products Offered
    211. Key
    212. Developments
    213. SWOT Analysis
    214. Key
    215. Strategies
    216. Teradata
    217. Financial
    218. Overview
    219. Products Offered
    220. Key
    221. Developments
    222. SWOT Analysis
    223. Key
    224. Strategies
    225. Amazon Web Services
    226. Financial
    227. Overview
    228. Products Offered
    229. Key
    230. Developments
    231. SWOT Analysis
    232. Key
    233. Strategies
    234. References
    235. Related
    236. Reports
    237. LIST
    238. OF ASSUMPTIONS
    239. GCC Data Science Platform Market SIZE
    240. ESTIMATES & FORECAST, BY BUSINESS FUNCTION, 2019-2035 (USD Billions)
    241. GCC
    242. Data Science Platform Market SIZE ESTIMATES & FORECAST, BY DEPLOYMENT, 2019-2035
    243. (USD Billions)
    244. GCC Data Science Platform Market SIZE
    245. ESTIMATES & FORECAST, BY VERTICALS, 2019-2035 (USD Billions)
    246. PRODUCT
    247. LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    248. ACQUISITION/PARTNERSHIP
    249. LIST
    250. Of figures
    251. MARKET SYNOPSIS
    252. GCC
    253. DATA SCIENCE PLATFORM MARKET ANALYSIS BY BUSINESS FUNCTION
    254. GCC
    255. DATA SCIENCE PLATFORM MARKET ANALYSIS BY DEPLOYMENT
    256. GCC
    257. DATA SCIENCE PLATFORM MARKET ANALYSIS BY VERTICALS
    258. KEY
    259. BUYING CRITERIA OF DATA SCIENCE PLATFORM MARKET
    260. RESEARCH
    261. PROCESS OF MRFR
    262. DRO ANALYSIS OF DATA SCIENCE PLATFORM
    263. MARKET
    264. DRIVERS IMPACT ANALYSIS: DATA SCIENCE PLATFORM
    265. MARKET
    266. RESTRAINTS IMPACT ANALYSIS: DATA SCIENCE PLATFORM
    267. MARKET
    268. SUPPLY / VALUE CHAIN: DATA SCIENCE PLATFORM MARKET
    269. DATA
    270. SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION, 2025 (% SHARE)
    271. DATA
    272. SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION, 2019 TO 2035 (USD Billions)
    273. DATA
    274. SCIENCE PLATFORM MARKET, BY DEPLOYMENT, 2025 (% SHARE)
    275. DATA
    276. SCIENCE PLATFORM MARKET, BY DEPLOYMENT, 2019 TO 2035 (USD Billions)
    277. DATA
    278. SCIENCE PLATFORM MARKET, BY VERTICALS, 2025 (% SHARE)
    279. DATA
    280. SCIENCE PLATFORM MARKET, BY VERTICALS, 2019 TO 2035 (USD Billions)
    281. BENCHMARKING
    282. OF MAJOR COMPETITORS

    GCC Data Science Platform Market Segmentation

    • Data Science Platform Market By Business Function (USD Billion, 2019-2035)

      • marketing
      • sales
      • logistics
      • human resources
    • Data Science Platform Market By Deployment (USD Billion, 2019-2035)

      • on-demand
      • on-premises
    • Data Science Platform Market By Verticals (USD Billion, 2019-2035)

      • BFSI
      • healthcare
      • retail
      • IT
      • transportation
    Report Infographic
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