Global Artificial Intelligence in Sports Market

Artificial Intelligence in Sports Market Size, Share, Growth Analysis, By Component(Software, Service), By Deployment(On-premise, Cloud), By Technology(Machine Learning, Natural Language Processing, Computer Vision, Data Analytics), By Application(Game Planning, Game Strategies, Performance Improvement, Injury Prevention), By Game(Football, Cricket, Tennis, Basketball), By Region - Industry Forecast 2024-2031


Report ID: SQMIG45A2302 | Region: Global | Published Date: April, 2024
Pages: 198 |Tables: 150 |Figures: 75

Artificial Intelligence in Sports Market Insights

Global Artificial Intelligence in Sports Market size was valued at USD 2.2 billion in 2022 and is poised to grow from USD 2.86 billion in 2023 to USD 23.33 billion by 2031, growing at a CAGR of 30% in the forecast period (2024-2031).

Artificial intelligence is being utilized in the sports industry to analyze datafrom sports events and other applications such as game management, planning, coaching, etc. Advancements in artificial intelligence technology have opened up limitless opportunities for this technology and this is how it has found its way into the sports industry. Athletes and sports organizers are both leveraging artificial intelligence technology to improve the overall experience for fans. AI is also being used to optimize fan engagement by giving them a personalized experience. Growing participation in fantasy leagues is also a key trend that will augment the demand for artificial intelligence in sports over the coming years. On the contrary, data privacy and adoption challenges are slated to emerge as the major constraints for artificial intelligence in sports market development in the future.

Market Snapshot - 2024-2031

Global Market Size

USD 2.2 billion

Largest Segment

Cloud

Fastest Growth

On-premise

Growth Rate

30% CAGR

Global Artificial Intelligence in Sports Market ($ Bn)
Country Share for North America Region (%)

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Artificial Intelligence in Sports Market Segmental Analysis

The global artificial intelligence in sports market is segmented based on component, technology, deployment, software, game, application, and region. In terms of component, the market is segmented into software and service. On the basis of deployment, the market is bifurcated into on-premise and cloud. Based on application, the market is divided into game planning, game strategies, performance improvement, injury prevention, sports recruitment, and others. In terms of technology, the market is segmented into machine learning, natural language processing, computer vision, data analytics, and others. On the basis of game, the market is bifurcated into football, cricket, tennis, basketball, baseball, and others. Based on region, the market is segmented into Asia Pacific, North America, Latin America, Europe, and the Middle East and Africa.

Analysis by Game

Cricket is projected to account for the highest share of the global artificial intelligence in sports market across the forecast period. Increasing use of AI to improve strategic decisions in cricket and growing use of AI for applications such as Duckworth Lewis, Decision Review System (DRS), etc. Growing popularity of cricket around the world is also slated help this segment maintain its dominance in the future.

Use of artificial intelligence in football is projected to rise at a rapid pace over the coming years. AI is being used in football to create accurate performance analysis of players and also help improve the coaching of footballers. Moreover, AI in football is also redefining the fan engagement experience by personalizing fantasy football leagues and other aspects of football experience.

Analysis by Deployment

Cloud deployment of AI solutions for sports are projected to account for massive revenue share across the forecast period. Sensors from wearable devices can be used to collect data from athletes and store them on a cloud platform to be accessed and assessed as per requirement. High scalability of cloud solutions is what allow them to hold a dominant market share.

Meanwhile, the demand for on-premise AI solutions for sports is slated to increase at a notable pace over the coming years. Sports teams and organizations with heavy budgets are opting for on-premise solutions to ensure data privacy and complete control over their AI for sports programs.

Global Artificial Intelligence in Sports Market By Deployment, Sports (%)

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Artificial Intelligence in Sports Market Regional Insights

North America is predicted to dominate the global artificial intelligence in sports demand outlook across the forecast period. Rapid adoption of novel artificial intelligence technologies is the key factor helping North America maintain its dominance in the global artificial intelligence in sports market. The United States and Canada are anticipated to be the leading markets for artificial intelligence in sports companies in the future. Presence of key technology companies investing in AI research and growing acceptance of AI in sports are other factors that could help North America maintain its dominance through 2031.

Asia Pacific region is expected to emerge as the fastest-growing market for artificial intelligence in sports companies in the world over the coming years. Growing proliferation of digital technologies and rising sports activity in this region are slated to boost market growth going forward. Cricket is huge in South Asian countries such as India, Pakistan, and Bangladesh, which is also expected to boost market growth in the future. High investments in artificial intelligence technology development and increasing digitization of sports in this region are also slated to bolster market development in countries such as India, China, and Japan going forward.

Global Artificial Intelligence in Sports Market By Region, 2024-2031
  • Largest
  • Fastest

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Artificial Intelligence in Sports Market Dynamics

Drivers

Better Performance Analysis

  • Use of artificial intelligence in sports provides proper metrics to measure the performance of athletes continuously and generate highly meaningful data to make informed decisions. AI can easily analyze large volumes of data and this fast track the process of analyzing the performance of an athlete.

Personalized Experience and Improved Fan Engagement

  • Use of AI-powered tools and solutions can help improve fan engagement by personalizing their experience by utilizing shared data. AI tools can recommend personalized content and improve engagement with fans to promote the popularity of sports.

Restraints

Data Privacy Issue Hampering Market Growth

  • Use of artificial intelligence in sports leads to collection of important data related to athletes and sports teams, this data is highly confidential. Concerns regarding security of this data and its privacy could slow down artificial intelligence in sports market growth going forward.

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Artificial Intelligence in Sports Market Competitive Landscape

Artificial intelligence in sports providers should focus on fan engagement to find new applications of AI and help personalize the game experience for fans. Artificial intelligence in sports providers can work closely with teams and coaches to provide efficient training for their athletes and keep them performing at their best of capacity. Sports teams can also run simulations for different scenarios using AI to prepare strategies and prepare players for all situations.

Top Player’s Company Profiles

  • Stats Perform
  • SAP SE
  • Tonbo Imaging
  • Salesforce.com Inc.
  • Kitman Labs
  • Catapult Group International Limited.
  • IBM Corporation
  • Zebra Technologies
  • Opta Sports
  • Facebook
  • Microsoft Corporation
  • Sportradar AG
  • TruMedia Networks
  • TrackMan
  • Meta Platforms Inc.
  • KINEXON
  • SAS Institute Inc.

Recent Developments

  • In May 2023, Sportradar, a renowned company known for sports data collection, announced its plans to invest in AI technology for betting applications. The company intended to minimize human error in the betting industry for best results.
  • In October 2023, IBM and ESPN collaboratively announced that they were using AI models to derive insights from fantasy football data platforms. The models were estimated to provide more than 48 billion insights.

Artificial Intelligence in Sports Key Market Trends

  • AI-driven Broadcasting and Content Creation: Artificial intelligence in sports companies should target broadcasting companies to help enhance their operations by utilizing AI technologies. Use of AI to automate cameras to improve live broadcasting and to automate editing process are some key areas where artificial intelligence in sports companies should innovate.

Artificial Intelligence in Sports Market SkyQuest Analysis

SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.

As per Skyquest analysis, advancements in AI technologies and growing acceptance of digital technologies in sports are key factors promoting the demand for artificial intelligence in sports. However, data privacy and security concerns are estimated to impede artificial intelligence in sports market growth in the long run. North America is expected to hold a dominant stance in the global artificial intelligence in sports marketplace owing to quick adoption of advanced AI technologies. Artificial intelligence in sports companies can focus on collaborating with sports broadcasters to help automate broadcasting and content creation with AI solutions.

Report Metric Details
Market size value in Sports USD 2.2 billion
Market size value in 2031 USD 23.33 billion
Growth Rate 30%
Base year 2023
Forecast period 2024-2031
Forecast Unit (Value) USD Billion
Segments covered
  • Component
    • Software, Service
  • Deployment
    • On-premise, Cloud
  • Technology
    • Machine Learning, Natural Language Processing, Computer Vision, Data Analytics, Others
  • Application
    • Game Planning, Game Strategies, Performance Improvement, Injury Prevention, Sports Recruitment, Others
  • Game
    • Football, Cricket, Tennis, Basketball, Baseball, Others
Regions covered North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA)
Companies covered
  • Stats Perform
  • SAP SE
  • Tonbo Imaging
  • Salesforce.com Inc.
  • Kitman Labs
  • Catapult Group International Limited.
  • IBM Corporation
  • Zebra Technologies
  • Opta Sports
  • Facebook
  • Microsoft Corporation
  • Sportradar AG
  • TruMedia Networks
  • TrackMan
  • Meta Platforms Inc.
  • KINEXON
  • SAS Institute Inc.
Customization scope

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Table Of Content

Executive Summary

Market overview

  • Exhibit: Executive Summary – Chart on Market Overview
  • Exhibit: Executive Summary – Data Table on Market Overview
  • Exhibit: Executive Summary – Chart on Artificial Intelligence in Sports Market Characteristics
  • Exhibit: Executive Summary – Chart on Market by Geography
  • Exhibit: Executive Summary – Chart on Market Segmentation
  • Exhibit: Executive Summary – Chart on Incremental Growth
  • Exhibit: Executive Summary – Data Table on Incremental Growth
  • Exhibit: Executive Summary – Chart on Vendor Market Positioning

Parent Market Analysis

Market overview

Market size

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • SWOT Analysis

KEY MARKET INSIGHTS

  • Technology Analysis
    • (Exhibit: Data Table: Name of technology and details)
  • Pricing Analysis
    • (Exhibit: Data Table: Name of technology and pricing details)
  • Supply Chain Analysis
    • (Exhibit: Detailed Supply Chain Presentation)
  • Value Chain Analysis
    • (Exhibit: Detailed Value Chain Presentation)
  • Ecosystem Of the Market
    • Exhibit: Parent Market Ecosystem Market Analysis
    • Exhibit: Market Characteristics of Parent Market
  • IP Analysis
    • (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
  • Trade Analysis
    • (Exhibit: Data Table: Import and Export data details)
  • Startup Analysis
    • (Exhibit: Data Table: Emerging startups details)
  • Raw Material Analysis
    • (Exhibit: Data Table: Mapping of key raw materials)
  • Innovation Matrix
    • (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
  • Pipeline product Analysis
    • (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
  • Macroeconomic Indicators

COVID IMPACT

  • Introduction
  • Impact On Economy—scenario Assessment
    • Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
  • Revised Market Size
    • Exhibit: Data Table on Artificial Intelligence in Sports Market size and forecast 2021-2027 ($ million)
  • Impact Of COVID On Key Segments
    • Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
  • COVID Strategies By Company
    • Exhibit: Analysis on key strategies adopted by companies

MARKET DYNAMICS & OUTLOOK

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • Regulatory Landscape
    • Exhibit: Data Table on regulation from different region
  • SWOT Analysis
  • Porters Analysis
    • Competitive rivalry
      • Exhibit: Competitive rivalry Impact of key factors, 2021
    • Threat of substitute products
      • Exhibit: Threat of Substitute Products Impact of key factors, 2021
    • Bargaining power of buyers
      • Exhibit: buyers bargaining power Impact of key factors, 2021
    • Threat of new entrants
      • Exhibit: Threat of new entrants Impact of key factors, 2021
    • Bargaining power of suppliers
      • Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
  • Skyquest special insights on future disruptions
    • Political Impact
    • Economic impact
    • Social Impact
    • Technical Impact
    • Environmental Impact
    • Legal Impact

Market Size by Region

  • Chart on Market share by geography 2021-2027 (%)
  • Data Table on Market share by geography 2021-2027(%)
  • North America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • USA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Canada
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Europe
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Germany
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Spain
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • France
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • UK
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Europe
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Asia Pacific
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • China
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • India
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Japan
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Korea
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Asia Pacific
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Latin America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Brazil
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of South America
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Middle East & Africa (MEA)
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • GCC Countries
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Africa
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of MEA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)

KEY COMPANY PROFILES

  • Competitive Landscape
    • Total number of companies covered
      • Exhibit: companies covered in the report, 2021
    • Top companies market positioning
      • Exhibit: company positioning matrix, 2021
    • Top companies market Share
      • Exhibit: Pie chart analysis on company market share, 2021(%)

Methodology

For the Artificial Intelligence in Sports Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:

1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.

2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Artificial Intelligence in Sports Market.

3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.

4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.

Analyst Support

Customization Options

With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Artificial Intelligence in Sports Market:

Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.

Regional Analysis: Further analysis of the Artificial Intelligence in Sports Market for additional countries.

Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.

Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.

Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.

Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.

Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.

Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.

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FAQs

Artificial Intelligence in Sports Market size was valued at USD 2.2 billion in 2022 and is poised to grow from USD 2.86 billion in 2023 to USD 23.33 billion by 2031, growing at a CAGR of 30% in the forecast period (2024-2031).

Artificial intelligence in sports providers should focus on fan engagement to find new applications of AI and help personalize the game experience for fans. Artificial intelligence in sports providers can work closely with teams and coaches to provide efficient training for their athletes and keep them performing at their best of capacity. Sports teams can also run simulations for different scenarios using AI to prepare strategies and prepare players for all situations. 'Stats Perform', 'SAP SE', 'Tonbo Imaging', 'Salesforce.com Inc.', 'Kitman Labs', 'Catapult Group International Limited.', 'IBM Corporation', 'Zebra Technologies', 'Opta Sports', 'Facebook', 'Microsoft Corporation', 'Sportradar AG', 'TruMedia Networks', 'TrackMan', 'Meta Platforms Inc.', 'KINEXON', 'SAS Institute Inc.'

Use of artificial intelligence in sports provides proper metrics to measure the performance of athletes continuously and generate highly meaningful data to make informed decisions. AI can easily analyze large volumes of data and this fast track the process of analyzing the performance of an athlete.

AI-driven Broadcasting and Content Creation: Artificial intelligence in sports companies should target broadcasting companies to help enhance their operations by utilizing AI technologies. Use of AI to automate cameras to improve live broadcasting and to automate editing process are some key areas where artificial intelligence in sports companies should innovate.

North America is predicted to dominate the artificial intelligence in sports demand outlook across the forecast period. Rapid adoption of novel artificial intelligence technologies is the key factor helping North America maintain its dominance in the artificial intelligence in sports market. The United States and Canada are anticipated to be the leading markets for artificial intelligence in sports companies in the future. Presence of key technology companies investing in AI research and growing acceptance of AI in sports are other factors that could help North America maintain its dominance through 2031.

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