AI in Sports Market Expected to Reach USD 19.2 Billion by 2030 | Top Players such as – Sportradar, Catapult and Trumedia
Increase in volume of both on-field & off-field data generated among various sports organizations has led to an increase in managing these data to analyze them.
PORTLAND, PORTLAND, OR, UNITED STATE, April 10, 2023 /EINPresswire.com/ — Allied Market Research published a new report, titled, “AI in Sports Market Expected to Reach USD 19.2 Billion by 2030 | Top Players such as – Sportradar, Catapult and Trumedia.” The report offers an extensive analysis of key growth strategies, drivers, opportunities, key segment, Porter’s Five Forces analysis, and competitive landscape. This study is a helpful source of information for market players, investors, VPs, stakeholders, and new entrants to gain thorough understanding of the industry and determine steps to be taken to gain competitive advantage.
The global artificial intelligence in sports market was valued at USD 1.4 billion in 2020, and is projected to reach USD 19.2 billion by 2030, growing at a CAGR of 30.3% from 2021 to 2030.
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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.
The market is segmented into component, deployment model, technology, application, sport type, and region. Depending on component, the market is bifurcated into solution and services. By deployment model, it is categorized into cloud and on-premises. On the basis of technology, it is fragmented into machine learning, natural language processing, computer vision, data analytics and others. As per application, it is segregated into game planning, game strategies, performance improvement, injury prevention sports recruitment, and others. According to game type, it is classified into football, cricket, tennis, basketball, baseball and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
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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.
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 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.
Some of the key players operating in the global AI in sports industry include Catapult Group International Ltd, Facebook Inc., IBM Corporation, Microsoft Corporation, Salesforce.com Inc, SAP SE, SAS Institute Inc., Sportradar AG, Stats Perform, and Trumedia Networks.
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Covid-19 Scenario:
● The demand for AI in sports reduced considerably due to cancellation of sports competitions and closure of stadiums across the world with lockdown measures and other restrictions by governments.
● The implementation of chatbots and virtual assistants increased interaction with fan base and increase the number of followers during the pandemic.
● The investments in development of AI technology for sports reduced considerably. The investments are expected to increase post-pandemic.
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