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.
Secondary Research
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.
Primary Research
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
Market Size Estimation
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 AI in Sports 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:
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Key players in the market have been identified through extensive secondary research.
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In terms of value, the industry’s supply chain and market size have been determined through primary and secondary research processes.
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All percentage shares, splits, and breakups have been determined using secondary sources and verified through primary sources.
AI in Sports Market : Top-Down and Bottom-Up Approach
Data Triangulation
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.
Market Definition
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.
Stakeholders
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Sports Teams and Athletes
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Coaches and Managers
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Sports Data Providers
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Technology Providers
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Sports Broadcast Networks
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Sports Organizations
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Fans and Consumers
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Sponsors and Advertisers
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Health and Fitness Professionals
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Sports Medicine Specialists
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Sports Analytics Firms
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Sports Betting Companies
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Media and Content Creators
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Equipment Manufacturers
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Regulatory Bodies
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Esports Organizations
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Academic Institutions and Researchers
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AI Startups and Innovators
Report Objectives
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To determine, segment, and forecast the AI in Sports market based on offering (solutions and services), technology (Generative AI and Other AI), sport type (Individual Sports, Team Sports, E-Sports), end user (Sports Associations, Sports Teams, Sports Media and Broadcasting,and Other), and region in terms of value
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To forecast the size of the market segments with respect to five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
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To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the market
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To study the complete value chain and related industry segments and perform a value chain analysis of the market landscape
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To strategically analyze the macro and micromarkets1 with respect to individual growth trends, prospects, and contributions to the total market
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To analyze the industry trends, pricing data, patents, and innovations related to the market
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To analyze the opportunities for stakeholders by identifying the high-growth segments of the market
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To profile the key players in the market and comprehensively analyze their market share/ranking and core competencies
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To track and analyze competitive developments, such as mergers & acquisitions, product launches & developments, partnerships, agreements, collaborations, business expansions, and R&D activities
Available Customizations
With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
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Analysis for additional countries (up to five)
Company Information
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Detailed analysis and profiling of additional market players (up to 5)
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