Global AI in Sports Market Research Report 2025(Status and Outlook)
Description
Report Overview
The market for Artificial Intelligence (AI) in sports involves the application of AI technologies such as machine learning, computer vision, and natural language processing to enhance various aspects of sports performance, coaching, fan engagement, and sports management. AI in sports can be used for player performance analysis, injury prevention, game strategy optimization, audience insights, and personalized fan experiences. By leveraging AI algorithms and data analytics, sports organizations can make data-driven decisions, improve player performance, enhance fan engagement, and optimize business operations. The integration of AI in sports is transforming the industry by providing innovative solutions to longstanding challenges and opening up new opportunities for growth and development.
The market for AI in sports is experiencing significant growth driven by several key factors. One of the main market trends is the increasing adoption of wearable technology and sensors in sports to collect real-time data on athletes' performance and health metrics. This data is then analyzed using AI algorithms to provide valuable insights for coaches, trainers, and athletes to optimize training programs and prevent injuries. Additionally, the growing demand for personalized fan experiences and the rise of esports are driving the use of AI technologies to create interactive and engaging content for sports fans. Moreover, the advancements in computer vision technology are enabling sports organizations to analyze video footage, track player movements, and improve game strategies. Overall, the market for AI in sports is poised for continued growth as organizations recognize the potential of AI to revolutionize the sports industry and drive innovation across all sectors.
The global AI in Sports market size was estimated at USD 1.60 million in 2024 and is projected to reach USD 1.60 million by 2033, exhibiting a CAGR of 0 during the forecast period.
This report provides a deep insight into the global AI in Sports market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, Porter's five forces analysis, value chain analysis, PEST analysis, etc. In terms of regional markets, the report details the market space and development potential of each market segment in North America, Europe, Asia Pacific, South America, the Middle East and Africa, as well as the competitive landscape of major players, etc
The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global AI in Sports Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.
In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the AI in Sports market in any manner.
Global AI in Sports Market: Market Segmentation Analysis
The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.
Key Company
24/7.ai Inc.
Amazon Inc.
Apple Inc.
Anodot
Facebook Inc.
Fujitsu Ltd.
Cisco Systems
DeepScale
Atmel Corporation
ARM Limited
Microsoft Corporation
Micron Technology
Market Segmentation (by Type)
Hardware
Software
Services
Market Segmentation (by Application)
Cricket
Football
Basketball
Tennis
Baseball
Others
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the AI in Sports Market
Overview of the regional outlook of the AI in Sports Market:
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the AI in Sports Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 8 provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 9 shares the main producing countries of AI in Sports, their output value, profit level, regional supply, production capacity layout, etc. from the supply side.
Chapter 10 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 11 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 12 provides a quantitative analysis of the market size and development potential of each market segment in the next five years.
Chapter 13 is the main points and conclusions of the report.
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
The market for Artificial Intelligence (AI) in sports involves the application of AI technologies such as machine learning, computer vision, and natural language processing to enhance various aspects of sports performance, coaching, fan engagement, and sports management. AI in sports can be used for player performance analysis, injury prevention, game strategy optimization, audience insights, and personalized fan experiences. By leveraging AI algorithms and data analytics, sports organizations can make data-driven decisions, improve player performance, enhance fan engagement, and optimize business operations. The integration of AI in sports is transforming the industry by providing innovative solutions to longstanding challenges and opening up new opportunities for growth and development.
The market for AI in sports is experiencing significant growth driven by several key factors. One of the main market trends is the increasing adoption of wearable technology and sensors in sports to collect real-time data on athletes' performance and health metrics. This data is then analyzed using AI algorithms to provide valuable insights for coaches, trainers, and athletes to optimize training programs and prevent injuries. Additionally, the growing demand for personalized fan experiences and the rise of esports are driving the use of AI technologies to create interactive and engaging content for sports fans. Moreover, the advancements in computer vision technology are enabling sports organizations to analyze video footage, track player movements, and improve game strategies. Overall, the market for AI in sports is poised for continued growth as organizations recognize the potential of AI to revolutionize the sports industry and drive innovation across all sectors.
The global AI in Sports market size was estimated at USD 1.60 million in 2024 and is projected to reach USD 1.60 million by 2033, exhibiting a CAGR of 0 during the forecast period.
This report provides a deep insight into the global AI in Sports market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, Porter's five forces analysis, value chain analysis, PEST analysis, etc. In terms of regional markets, the report details the market space and development potential of each market segment in North America, Europe, Asia Pacific, South America, the Middle East and Africa, as well as the competitive landscape of major players, etc
The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global AI in Sports Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.
In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the AI in Sports market in any manner.
Global AI in Sports Market: Market Segmentation Analysis
The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.
Key Company
24/7.ai Inc.
Amazon Inc.
Apple Inc.
Anodot
Facebook Inc.
Fujitsu Ltd.
Cisco Systems
DeepScale
Atmel Corporation
ARM Limited
Microsoft Corporation
Micron Technology
Market Segmentation (by Type)
Hardware
Software
Services
Market Segmentation (by Application)
Cricket
Football
Basketball
Tennis
Baseball
Others
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the AI in Sports Market
Overview of the regional outlook of the AI in Sports Market:
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the AI in Sports Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 8 provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 9 shares the main producing countries of AI in Sports, their output value, profit level, regional supply, production capacity layout, etc. from the supply side.
Chapter 10 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 11 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 12 provides a quantitative analysis of the market size and development potential of each market segment in the next five years.
Chapter 13 is the main points and conclusions of the report.
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
Table of Contents
122 Pages
- 1 Research Methodology and Statistical Scope
- 1.1 Market Definition and Statistical Scope of AI in Sports
- 1.2 Key Market Segments
- 1.2.1 AI in Sports Segment by Type
- 1.2.2 AI in Sports Segment by Application
- 1.3 Methodology & Sources of Information
- 1.3.1 Research Methodology
- 1.3.2 Research Process
- 1.3.3 Market Breakdown and Data Triangulation
- 1.3.4 Base Year
- 1.3.5 Report Assumptions & Caveats
- 2 AI in Sports Market Overview
- 2.1 Global Market Overview
- 2.2 Market Segment Executive Summary
- 2.3 Global Market Size by Region
- 3 AI in Sports Market Competitive Landscape
- 3.1 Company Assessment Quadrant
- 3.2 Global AI in Sports Product Life Cycle
- 3.3 Global AI in Sports Revenue Market Share by Company (2020-2025)
- 3.4 AI in Sports Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
- 3.5 AI in Sports Company Headquarters, Area Served, Product Type
- 3.6 AI in Sports Market Competitive Situation and Trends
- 3.6.1 AI in Sports Market Concentration Rate
- 3.6.2 Global 5 and 10 Largest AI in Sports Players Market Share by Revenue
- 3.6.3 Mergers & Acquisitions, Expansion
- 4 AI in Sports Value Chain Analysis
- 4.1 AI in Sports Value Chain Analysis
- 4.2 Midstream Market Analysis
- 4.3 Downstream Customer Analysis
- 5 The Development and Dynamics of AI in Sports Market
- 5.1 Key Development Trends
- 5.2 Driving Factors
- 5.3 Market Challenges
- 5.4 Industry News
- 5.4.1 New Product Developments
- 5.4.2 Mergers & Acquisitions
- 5.4.3 Expansions
- 5.4.4 Collaboration/Supply Contracts
- 5.5 PEST Analysis
- 5.5.1 Industry Policies Analysis
- 5.5.2 Economic Environment Analysis
- 5.5.3 Social Environment Analysis
- 5.5.4 Technological Environment Analysis
- 5.6 Global AI in Sports Market Porter's Five Forces Analysis
- 6 AI in Sports Market Segmentation by Type
- 6.1 Evaluation Matrix of Segment Market Development Potential (Type)
- 6.2 Global AI in Sports Market Size Market Share by Type (2020-2025)
- 6.3 Global AI in Sports Market Size Growth Rate by Type (2021-2025)
- 7 AI in Sports Market Segmentation by Application
- 7.1 Evaluation Matrix of Segment Market Development Potential (Application)
- 7.2 Global AI in Sports Market Size (M USD) by Application (2020-2025)
- 7.3 Global AI in Sports Sales Growth Rate by Application (2020-2025)
- 8 AI in Sports Market Segmentation by Region
- 8.1 Global AI in Sports Market Size by Region
- 8.1.1 Global AI in Sports Market Size by Region
- 8.1.2 Global AI in Sports Market Size Market Share by Region
- 8.2 North America
- 8.2.1 North America AI in Sports Market Size by Country
- 8.2.2 U.S.
- 8.2.3 Canada
- 8.2.4 Mexico
- 8.3 Europe
- 8.3.1 Europe AI in Sports Market Size by Country
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 U.K.
- 8.3.5 Italy
- 8.3.6 Spain
- 8.4 Asia Pacific
- 8.4.1 Asia Pacific AI in Sports Market Size by Region
- 8.4.2 China
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 India
- 8.4.6 Southeast Asia
- 8.5 South America
- 8.5.1 South America AI in Sports Market Size by Country
- 8.5.2 Brazil
- 8.5.3 Argentina
- 8.5.4 Columbia
- 8.6 Middle East and Africa
- 8.6.1 Middle East and Africa AI in Sports Market Size by Region
- 8.6.2 Saudi Arabia
- 8.6.3 UAE
- 8.6.4 Egypt
- 8.6.5 Nigeria
- 8.6.6 South Africa
- 9 Key Companies Profile
- 9.1 24/7.ai Inc.
- 9.1.1 24/7.ai Inc. Basic Information
- 9.1.2 24/7.ai Inc. AI in Sports Product Overview
- 9.1.3 24/7.ai Inc. AI in Sports Product Market Performance
- 9.1.4 24/7.ai Inc. SWOT Analysis
- 9.1.5 24/7.ai Inc. Business Overview
- 9.1.6 24/7.ai Inc. Recent Developments
- 9.2 Amazon Inc.
- 9.2.1 Amazon Inc. Basic Information
- 9.2.2 Amazon Inc. AI in Sports Product Overview
- 9.2.3 Amazon Inc. AI in Sports Product Market Performance
- 9.2.4 Amazon Inc. SWOT Analysis
- 9.2.5 Amazon Inc. Business Overview
- 9.2.6 Amazon Inc. Recent Developments
- 9.3 Apple Inc.
- 9.3.1 Apple Inc. Basic Information
- 9.3.2 Apple Inc. AI in Sports Product Overview
- 9.3.3 Apple Inc. AI in Sports Product Market Performance
- 9.3.4 Apple Inc. SWOT Analysis
- 9.3.5 Apple Inc. Business Overview
- 9.3.6 Apple Inc. Recent Developments
- 9.4 Anodot
- 9.4.1 Anodot Basic Information
- 9.4.2 Anodot AI in Sports Product Overview
- 9.4.3 Anodot AI in Sports Product Market Performance
- 9.4.4 Anodot Business Overview
- 9.4.5 Anodot Recent Developments
- 9.5 Facebook Inc.
- 9.5.1 Facebook Inc. Basic Information
- 9.5.2 Facebook Inc. AI in Sports Product Overview
- 9.5.3 Facebook Inc. AI in Sports Product Market Performance
- 9.5.4 Facebook Inc. Business Overview
- 9.5.5 Facebook Inc. Recent Developments
- 9.6 Fujitsu Ltd.
- 9.6.1 Fujitsu Ltd. Basic Information
- 9.6.2 Fujitsu Ltd. AI in Sports Product Overview
- 9.6.3 Fujitsu Ltd. AI in Sports Product Market Performance
- 9.6.4 Fujitsu Ltd. Business Overview
- 9.6.5 Fujitsu Ltd. Recent Developments
- 9.7 Cisco Systems
- 9.7.1 Cisco Systems Basic Information
- 9.7.2 Cisco Systems AI in Sports Product Overview
- 9.7.3 Cisco Systems AI in Sports Product Market Performance
- 9.7.4 Cisco Systems Business Overview
- 9.7.5 Cisco Systems Recent Developments
- 9.8 DeepScale
- 9.8.1 DeepScale Basic Information
- 9.8.2 DeepScale AI in Sports Product Overview
- 9.8.3 DeepScale AI in Sports Product Market Performance
- 9.8.4 DeepScale Business Overview
- 9.8.5 DeepScale Recent Developments
- 9.9 Atmel Corporation
- 9.9.1 Atmel Corporation Basic Information
- 9.9.2 Atmel Corporation AI in Sports Product Overview
- 9.9.3 Atmel Corporation AI in Sports Product Market Performance
- 9.9.4 Atmel Corporation Business Overview
- 9.9.5 Atmel Corporation Recent Developments
- 9.10 ARM Limited
- 9.10.1 ARM Limited Basic Information
- 9.10.2 ARM Limited AI in Sports Product Overview
- 9.10.3 ARM Limited AI in Sports Product Market Performance
- 9.10.4 ARM Limited Business Overview
- 9.10.5 ARM Limited Recent Developments
- 9.11 Microsoft Corporation
- 9.11.1 Microsoft Corporation Basic Information
- 9.11.2 Microsoft Corporation AI in Sports Product Overview
- 9.11.3 Microsoft Corporation AI in Sports Product Market Performance
- 9.11.4 Microsoft Corporation Business Overview
- 9.11.5 Microsoft Corporation Recent Developments
- 9.12 Micron Technology
- 9.12.1 Micron Technology Basic Information
- 9.12.2 Micron Technology AI in Sports Product Overview
- 9.12.3 Micron Technology AI in Sports Product Market Performance
- 9.12.4 Micron Technology Business Overview
- 9.12.5 Micron Technology Recent Developments
- 10 AI in Sports Market Forecast by Region
- 10.1 Global AI in Sports Market Size Forecast
- 10.2 Global AI in Sports Market Forecast by Region
- 10.2.1 North America Market Size Forecast by Country
- 10.2.2 Europe AI in Sports Market Size Forecast by Country
- 10.2.3 Asia Pacific AI in Sports Market Size Forecast by Region
- 10.2.4 South America AI in Sports Market Size Forecast by Country
- 10.2.5 Middle East and Africa Forecasted Sales of AI in Sports by Country
- 11 Forecast Market by Type and by Application (2026-2033)
- 11.1 Global AI in Sports Market Forecast by Type (2026-2033)
- 11.2 Global AI in Sports Market Forecast by Application (2026-2033)
- 12 Conclusion and Key Findings
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