Saudi Arabia AI in Sports Analytics Market Size, Share, Trends and Forecast by Component, Technology, Deployment Mode, Application, End User, and Region, 2025-2033

Saudi Arabia AI in Sports Analytics Market Size, Share, Trends and Forecast by Component, Technology, Deployment Mode, Application, End User, and Region, 2025-2033

Report Format: PDF+Excel | Report ID: SR112025A42022

Saudi Arabia AI in Sports Analytics Market Overview

The Saudi Arabia AI in sports analytics market is anticipated to exhibit a growth rate (CAGR) of 22.0% during 2025-2033. Adoption is rising on the back of performance optimization needs across clubs, richer fan engagement use cases, and upgrades in tracking hardware and cloud analytics. Investments in AI, data platforms, and connected venues are also supporting deployments, strengthening the Saudi Arabia AI in sports analytics market share.

Report Attribute 
Key Statistics
Base Year
2024
Forecast Years
2025-2033
Historical Years
2019-2024
Market Growth Rate 2025-2033 22.0%


Saudi Arabia AI in Sports Analytics Market Trends:

AI-Driven Performance, Tracking, and Bench-to-Boardroom Decisions

Clubs and federations are scaling AI use across athlete monitoring, video breakdown, and tactical analysis. The global sports analytics market reached USD 1,496 million in 2024 and is projected at USD 5,511.1 million by 2033 (15.6% CAGR), reflecting broader momentum behind model-based decision support in elite and developmental programs. Saudi buyers are leveraging this base with local data and AI investments to shorten analysis cycles, reduce injury risk, and sharpen recruitment. Concurrently, the global sports technology market hit USD 21.9 billion in 2024 (projected USD 48.6 billion by 2033; 8.79% CAGR), underscoring steady upgrades in wearables, smart cameras, and broadcast-integrated tools that feed analytics stacks. These inputs matter as clubs link video, optical tracking, and biometric streams to AI models that recommend training loads, set-piece routines, and substitutions. The Saudi Arabia data analytics market stood at USD 689.2 million in 2024 and is forecast to expand at 28.8% CAGR to USD 6,741.5 million by 2033, indicating growing capacity for data pipelines, integration services, and visualization that sports entities can tap for real-time and post-match workflows. Together, these indicators point to faster model iteration, clearer KPIs around availability and form, and wider use of dashboards across coaching, scouting, commercial teams, and ownership.

Cloud, Edge, and Venue Analytics for Fan Experience and Officiating

Teams and operators are adopting hybrid setups that run inference at the edge and train models in the cloud, enabling sub-second decisions during matches and fleet-level optimization across venues. Growth in national AI stacks adds further lift: Saudi Arabia’s big data & AI market reached USD 4.1 million in 2024 (26.2% CAGR to 2033), and generative AI in Saudi Arabia was USD 135.5 million in 2024 (17.50% CAGR), supporting use cases from automated highlight clipping to conversational fan services. On the venue side, smart camera networks and computer vision systems support crowd flow, retail optimization, and sponsor activations that personalize in-stadium journeys. In parallel, broadcast and media teams are embedding player- and ball-tracking feeds into second-screen experiences to improve engagement and ad performance. As these tools converge with ticketing, CRM, and merchandising, stakeholders track uplift across attendance, dwell time, and conversions. Officiating support is also advancing through computer vision and review workflows that improve consistency and transparency. With global and local spending signals aligned, Saudi Arabia AI in sports analytics market growth is being driven by sharper integration with data lakes, streaming analytics, and visualization layers inside club and league control rooms. These advancements are accelerating time-to-insight for both sporting and commercial decisions, positioning Saudi Arabia as a leader in data-driven sports innovation.

Saudi Arabia AI in Sports Analytics Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country and regional levels for 2025-2033. Our report has categorized the market based on component, technology, deployment mode, application, and end user.

Component Insights:

  • Software/Platforms
    • AI-powered Performance Analytics Platforms
    • Video Analysis and Motion Tracking Software
    • Fan Engagement and Marketing Analytics Tools
    • Data Visualization Dashboards
  • Hardware
    • Wearables and Fitness Trackers
    • Smart Cameras and Sensors
    • Biometric Monitoring Devices
  • Services
    • Consulting and Strategy
    • Implementation and Integration
    • Support and Maintenance

The report has provided a detailed breakup and analysis of the market based on the component. This includes software/platforms (AI-powered performance analytics platforms, video analysis and motion tracking software, fan engagement and marketing analytics tools, data visualization dashboards), hardware (wearables and fitness trackers, smart cameras and sensors, biometric monitoring devices), and services (consulting and strategy, implementation and integration, support and maintenance).

Technology Insights:

  • Machine Learning and Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Predictive and Prescriptive Analytics
  • AI-enabled IoT

A detailed breakup and analysis of the market based on technology have also been provided in the report. This includes machine learning and deep learning, natural language processing, computer vision, predictive and prescriptive analytics, and AI-enabled IoT.

Deployment Mode Insights:

  • Cloud-Based
  • On-Premises
  • Hybrid

A detailed breakup and analysis of the market based on the deployment mode have also been provided in the report. This includes cloud-based, on-premises, and hybrid.

Application Insights:

  • On-field Performance Analysis
  • Team and Game Strategy
  • Fan Engagement and Experience
  • Business and Operations Analytics
  • Referee and Game Officiating

A detailed breakup and analysis of the market based on the application have also been provided in the report. This includes on-field performance analysis, team and game strategy, fan engagement and experience, business and operations analytics, and referee and game officiating.

End User Insights:

  • Professional Sports Teams and Clubs
  • Sports Associations and Federations
  • Sports Academies and Training Centers
  • Broadcasters and Media Companies
  • Stadiums and Event Organizers

A detailed breakup and analysis of the market based on the end user have also been provided in the report. This includes professional sports teams and clubs, sports associations and federations, sports academies and training centers, broadcasters and media companies, and stadiums and event organizers.

Regional Insights:

  • Northern and Central Region
  • Western Region
  • Eastern Region
  • Southern Region

The report has also provided a comprehensive analysis of all the major regional markets, which include Northern and Central Region, Western Region, Eastern Region, and Southern Region.

Competitive Landscape:

The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

Saudi Arabia AI in Sports Analytics Market News:

  • In December 2024, the Saudi Pro League expanded its partnership with Stats Perform to deploy Opta and OptaAI tools across every top-flight club and league media teams, enhancing performance analysis and data-driven content creation. The agreement includes Opta Vision for deeper tracking insights in league and cup competitions.
  • In February 2025, the Saudi Company for Artificial Intelligence (SCAI) launched the AI League—a national competition that promotes AI use cases in sports—with a prize pool of SAR 1 million, backed by government stakeholders. The initiative aims to accelerate analytics adoption in performance, operations, and fan experience.

Saudi Arabia AI in Sports Analytics Market Report Coverage:

Report Features Details
Base Year of the Analysis 2024
Historical Period 2019-2024
Forecast Period 2025-2033
Scope of the Report

Exploration of Historical Trends and Market Outlook, Industry Catalysts and Challenges, Segment-Wise Historical and Future Market Assessment:

  • Component
  • Technology
  • Deployment Mode
  • Application
  • End User
  • Region
Components Covered
  • Software/Platforms: AI-Powered Performance Analytics Platforms, Video Analysis and Motion Tracking Software, Fan Engagement and Marketing Analytics Tools, Data Visualization Dashboards
  • Hardware: Wearables And Fitness Trackers, Smart Cameras and Sensors, Biometric Monitoring Devices
  • Services: Consulting and Strategy, Implementation and Integration, Support and Maintenance
Technologies Covered Machine Learning and Deep Learning, Natural Language Processing, Computer Vision, Predictive and Prescriptive Analytics, AI-enabled IoT
Deployment Modes Covered Cloud-Based, On-Premises, Hybrid
Applications Covered On-field Performance Analysis, Team and Game Strategy, Fan Engagement and Experience, Business and Operations Analytics, Referee and Game Officiating
End Users Covered Professional Sports Teams and Clubs, Sports Associations and Federations, Sports Academies and Training Centers, Broadcasters and Media Companies, Stadiums and Event Organizers
Regions Covered Northern and Central Region, Western Region, Eastern Region, Southern Region
Customization Scope 10% Free Customization
Post-Sale Analyst Support 10-12 Weeks
Delivery Format PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)


Key Questions Answered in This Report:

  • How has the Saudi Arabia AI in sports analytics market performed so far and how will it perform in the coming years?
  • What is the breakup of the Saudi Arabia AI in sports analytics market on the basis of component?
  • What is the breakup of the Saudi Arabia AI in sports analytics market on the basis of technology?
  • What is the breakup of the Saudi Arabia AI in sports analytics market on the basis of deployment mode?
  • What is the breakup of the Saudi Arabia AI in sports analytics market on the basis of application?
  • What is the breakup of the Saudi Arabia AI in sports analytics market on the basis of end user?
  • What is the breakup of the Saudi Arabia AI in sports analytics market on the basis of region?
  • What are the various stages in the value chain of the Saudi Arabia AI in sports analytics market?
  • What are the key driving factors and challenges in the Saudi Arabia AI in sports analytics market?
  • What is the structure of the Saudi Arabia AI in sports analytics market and who are the key players?
  • What is the degree of competition in the Saudi Arabia AI in sports analytics market?

Key Benefits for Stakeholders:

  • IMARC’s industry report offers a quantitative analysis of various market segments, historical and current market trends, market forecasts, and dynamics of the Saudi Arabia AI in sports analytics market from 2019-2033.
  • The research report provides the latest information on the market drivers, challenges, and opportunities in the Saudi Arabia AI in sports analytics market.
  • Porter’s five forces analysis assist stakeholders in assessing the impact of new entrants, competitive rivalry, supplier power, buyer power, and the threat of substitution. It helps stakeholders analyze the level of competition within the Saudi Arabia AI in sports analytics industry and its attractiveness.
  • Competitive landscape allows stakeholders to understand their competitive environment and provides an insight into the current positions of key players in the market.

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Saudi Arabia AI in Sports Analytics Market Size, Share, Trends and Forecast by Component, Technology, Deployment Mode, Application, End User, and Region, 2025-2033
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