USD 2.2 billion
Report ID:
SQMIG45A2302 |
Region:
Global |
Published Date: April, 2024
Pages:
198
|Tables:
150
|Figures:
75
Artificial Intelligence in Sports Market size was valued at USD 2.86 Billion in 2023 and is poised to grow from USD 3.72 Billion in 2024 to USD 30.33 Billion by 2032, growing at a CAGR of 30% during the forecast period (2025-2032).
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.
Global Market Size
USD 2.2 billion
Largest Segment
Cloud
Fastest Growth
On-premise
Growth Rate
30% CAGR
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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.
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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.
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Drivers
Better Performance Analysis
Personalized Experience and Improved Fan Engagement
Restraints
Data Privacy Issue Hampering Market Growth
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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.
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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 2.86 Billion |
Market size value in 2032 | USD 30.33 Billion |
Growth Rate | 30% |
Base year | 2024 |
Forecast period | 2025-2032 |
Forecast Unit (Value) | USD Billion |
Segments covered |
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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 |
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Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
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.
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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.
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Report ID: SQMIG45A2302
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