The Ksa AI in Sports Market was valued at $10.5 Million in 2024 and projected to reach to $31.8 Million by 2029, representing a compound annual growth rate of 20.4%. KSA's AI in Sports Market is positioned for exceptional growth through 2029, driven by substantial investments in sports infrastructure and digital transformation aligned with Vision 2030 objectives.
| Market Size in | USD 26.32 MN |
| Market Forecast in | |
| CAGR | |
| Forecast Period | |
| Units Considered | Value (USD MN) |
KSA's AI in Sports Market is growing at 20.4% CAGR, significantly outpacing the global rate of 16.7%, demonstrating strong regional momentum and investment appetite in sports technology solutions.
Market valuation is projected to triple from USD 10.5 million in 2024 to USD 31.8 million by 2029, reflecting KSA's commitment to digital transformation and sports technology modernization.
KSA's strategic focus on sports technology infrastructure and digital initiatives is accelerating AI adoption across player analytics, performance optimization, and fan engagement platforms.
As a high-growth market with increasing government support for sports development and Vision 2030 initiatives, KSA presents untapped opportunities for AI-powered sports solutions and analytics providers.
| Report Metric | Details |
|---|---|
| Base Year | 2024 |
| Fastest Growing Segment | FAN ENGAGEMENT (Application) |
| Forecast Period | 2024-2029 |
| Growth Rate | CAGR of 16.7% from 2024 to 2029 |
| Largest Segment | DEVICES (Technology) |
| Market Size Base Year (Billions) | ~USD 1.03 (2024) |
| Revenue Forecast (Billions) | ~USD 2.24 (2029) |
| Segments Covered | Offering, Sports Solution, Service Type, Type, Sports Type, End User, Solution, Service, Professional Service, Individual Sport, Team Sport, Technology, Sports, Component, Deployment Mode, Application |
16 segment dimensions are covered across the global market.
| Segment | 2024 | 2025 | 2026 | 2027 | 2028 | 2029 | 2030 | CAGR (%) |
|---|---|---|---|---|---|---|---|---|
| OTHER END USERS | 1.1 | 1.3 | 1.6 | 1.9 | 2.1 | 2.4 | 2.6 | 15.9 |
| SPORTS ASSOCIATIONS | 3.7 | 4.7 | 5.7 | 6.8 | 8 | 9.1 | 10.2 | 18.4 |
| SPORTS MEDIA & BROADCASTING | 2.4 | 3.2 | 4.1 | 5.1 | 6.2 | 7.4 | 8.7 | 23.8 |
| SPORTS TEAMS | 3.3 | 4.2 | 5.3 | 6.4 | 7.7 | 9 | 10.3 | 21.2 |
| TOTAL | 10.5 | 13.4 | 16.7 | 20.3 | 24 | 27.9 | 31.8 | 20.4 |
Ksa's AI in Sports Market was valued at USD 10.5 million in 2024, according to verified market data.
Ksa's AI in Sports Market is forecast to reach USD 31.8 million by 2029, representing significant growth over the five-year period.
Ksa's AI in Sports Market is expected to grow at a compound annual growth rate (CAGR) of 20.4% from 2024 to 2029.
Ksa's CAGR of 20.4% exceeds the global CAGR of 16.7%, indicating stronger regional growth momentum in the AI sports technology sector.
Ksa's growth is driven by government support for sports development, hosting of international sporting events, digital transformation initiatives, and increasing demand for data-driven sports management solutions.
This research study involved the extensive use of secondary sources, directories, and databases, such as Dun & Bradstreet (D&B) Hoovers and Bloomberg BusinessWeek, to identify and collect valuable information for a technical, market-oriented, and commercial study of the AI in Sports market. The primary sources have been mainly industry experts from the core and related industries and preferred suppliers, manufacturers, distributors, service providers, technology developers, alliances, and organizations related to all segments of the value chain of this market. In-depth interviews have been conducted with primary respondents, including key industry participants, subject matter experts, C-level executives of key market players, and industry consultants, to obtain and verify critical qualitative and quantitative information.
In the secondary research process, various secondary sources were referred to identify and collect information for the study. The secondary sources included annual reports, press releases, investor presentations of companies, white papers, certified publications, and articles from recognized associations and government publishing sources. Several journals and associations, such as Artificial Intelligence in Sport Programme 2024, AI for Sport Conference 2nd Edition, were also referred to. Secondary research was used to obtain key information about industry insights, the market’s monetary chain, the overall pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from both the market and technology-oriented perspectives.
In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for the report. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Chief Technology Officers (CTOs), Chief Operating Officers (COOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various key companies and organizations operating in the AI in Sports market. The primary sources from the demand side included AI in Sports end users, consultants/specialists, Chief Information Officers (CIOs), and subject-matter experts from enterprises and government associations.
*Others include sales managers, marketing managers, and product managers.
Note: Tier 1 companies’ revenue is more than USD 1 billion; Tier 2 companies ‘revenue ranges between
USD 500 million to 1 billion; and Tier 3 companies’ revenue ranges in between USD 100 million
and USD 500 million
To know about the assumptions considered for the study, download the pdf brochure
Multiple approaches were adopted to estimate and forecast the size of the AI in Sports market. The first approach involves estimating market size by summing up the revenue companies generate by selling AI solutions for Sports.
Both top-down and bottom-up approaches were used to estimate and validate the total size of the market. These methods were extensively used to estimate the size of various segments in the market. The research methodology used to estimate the market size includes the following:

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
AI in Sports refers to the integration and application of artificial intelligence technologies to enhance various aspects of the sports industry. This includes improving athletic performance, optimizing game strategies, enriching fan experiences, and managing operations efficiently. AI-powered solutions in sports leverage data analytics, machine learning, computer vision, and natural language processing to analyze vast amounts of data and deliver actionable insights.
Additionally, AI automates broadcasting, generates real-time analytics, and improves operations such as ticketing, crowd management, and scheduling, transforming the way sports are played, managed, and consumed.
With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
Full forecast, segment splits, and company analysis for all AI in Sports Market.
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