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Artificial Intelligence in Sports Market Share Expected to Garner USD 19.2 billion by 2030, Major Players - Catapult Group International Ltd, Facebook Inc, IBM Corporation, Salesforce.com Inc

02-07-2023 10:42 AM CET | IT, New Media & Software

Press release from: Allied Market Research (AMR)

Artificial Intelligence in Sports Market Share Expected

Rise in demand for monitoring and tracking data of players, demand for chatbots and virtual assistants to interact with followers, and requirement of real-time data analytics to improve performance drive the growth of the global artificial intelligence in sports market. Rise in demand for AI to make future predictions create new opportunities in the coming years.

Based on region, North America contributed to the highest market share in terms of revenue in 2020, contributing to more than one-third of the global artificial intelligence in sports market, and is expected to maintain its dominance by 2030. This is attributed to abundance of AI solutions in sports from vendors such as Microsoft Corporation, IBM, SAS, and others. However, Asia-Pacific is estimated to register the fastest CAGR of 34.6% during the forecast period, owing to increase in technological investments in sectors such as cloud and digital technologies.

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The global artificial intelligence in sports industry $1.4 billion in 2020, and is expected to reach $19.2 billion by 2030, witnessing a CAGR of 30.3% from 2021 to 2030.

Based on components, the software segment accounted for the highest market share in 2020, contributing to nearly three-fourths of the global artificial intelligence in sports industry, and is estimated to continue its lead position in terms of revenue throughout the forecast period. This is due to adoption of AI and advanced machine learning algorithms to utilize the massive volume of data for gaining meaningful insights and making better-informed decisions. However, the services segment is expected to witness the highest CAGR of 33.1% from 2021 to 2030, owing to rise in demand for software-as-a-service (SaaS) for numerous benefits such as scalability and one-time customer acquisition cost.

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Based on sports type, the football segment held the highest market share in 2020, holding more than one-fourth of the global artificial intelligence in sports market, and is projected to maintain its leadership status during the forecast period. This is attributed to adoption of IoT devices such as sensors, GPS trackers, and computer vision algorithms to track movement of players and balls. However, the basketball segment is expected to manifest the fastest CAGR of 35.0% from 2021 to 2030, owing to usefulness of AI in-game analysis for identifying trends and analyzing innumerable variations of plays such as pick-and-rolls.

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Segmental analysis of the market is provided in both qualitative and quantitative aspects. This aids the clients in identifying the most lucrative segment to go on with investments, on the basis of a complete backend analysis concerning the segmental presentation, coupled with brief salutation of the operating organizations and their important developmental activities.

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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

Pawan Kumar, the CEO of Allied Market Research, is leading the organization toward providing high-quality data and insights. We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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