Generative Artificial Intelligence (AI) in Sports Global Market Report 2024

The generative artificial intelligence (AI) in sports market size has grown exponentially in recent years. It will grow from $0.17 billion in 2023 to $0.22 billion in 2024 at a compound annual growth rate (CAGR) of 30.7%. The growth observed in the historic period can be attributed to factors such as the expansion of data centers, the emergence of cloud gaming services, advancements in autonomous vehicles and Advanced Driver Assistance Systems (ADAS), the growth of edge computing and the Internet of Things (IoT), as well as developments in blockchain and cryptocurrency technologies.

The generative artificial intelligence (AI) in sports market size is expected to see exponential growth in the next few years. It will grow to $0.58 billion in 2028 at a compound annual growth rate (CAGR) of 27.8%. The anticipated growth in the forecast period can be attributed to advancements in computer vision, the implementation of customized training programs, real-time decision support systems, the expansion of fan experiences, and the hosting of global sporting events. Significant trends expected during this period encompass the integration of sports technologies with emerging technologies, technological advancements in wearables, exploration of sponsorship and revenue opportunities, emphasis on injury prevention and rehabilitation, and the continued integration of wearable technology in the sports industry.

The increasing incidence of sports injuries is anticipated to drive the growth of generative artificial intelligence (AI) in the sports market. Sports injuries, encompassing harm or damage to the body during sports, exercise, or athletic activities, can be mitigated through the use of generative AI. This technology enables the creation of realistic training scenarios, allowing athletes to practice proper techniques and identify potential injury risks within a safe and controlled environment. In 2023, the National Safety Council reported a notable 11% increase in the total number of sports and recreational injuries, rising from 3,231,885 in 2021 to 3,631,970 in 2022. Consequently, the surge in sports injuries is a key driver behind the growth of generative artificial intelligence (AI) in the sports market.

Leading companies in the generative artificial intelligence (AI) sports market are strategically leveraging collaborations to deliver digital products and services, gaining a competitive advantage. Strategic collaborations involve formal or informal agreements between multiple parties working toward a common goal while retaining their independence. For example, in August 2023, Globant, a US-based software development company, and LaLiga Tech, a Spain-based company providing digital tools to the sports and entertainment industry, joined forces with Microsoft to develop a range of artificial intelligence (AI) services for sports technology. This collaboration combines sports industry expertise with IT sector knowledge, harnessing technologies such as AI and blockchain to enhance sports data and improve the experience for millions of fans globally. Microsoft, a US-based technology corporation, serves as a key provider of generative AI platforms across various industries.

In July 2023, Greenfly, a US-based software company, successfully acquired Miro AI for an undisclosed amount. This strategic acquisition is set to revolutionize Greenfly's digital media platform for the sports industry. The integration of Miro AI's AI-powered content as a service (CaaS) platforms is expected to provide real-time access to short-form digital media, elevate fan engagement, and solidify Greenfly's position in the market, showcasing the significance of inorganic growth strategies in the dynamic generative artificial intelligence (AI) sports market.

Major companies operating in the generative artificial intelligence (AI) in sports market report are Google LLC, Amazon Web Services (AWS), Intel Corporation, International Business Machines Corporation, NVIDIA Corporation, Baidu Inc., Zebra Technologies Corporation, Stats Perform Group LLC, Tempus Ex, GumGum Inc., Noah Basketball LLC, Catapult Sports, Genius Sports, PlaySight Interactive Ltd., ChyronHego Corporation, Whistle Sports Inc., Sportlogiq Inc., SportsMEDIA Technology, Hawk-Eye Innovations Ltd., Opendorse, Inc., Spiideo AB, Beyond Sports, ShotTracker, Kinduct Technologies Inc., MVP Interactive, Inc., Perform Group Ltd, Second Spectrum Inc., PlayGineering Systems.

North America was the largest region in the generative artificial intelligence (AI) in sports market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in sports market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence (AI) in sports market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative artificial intelligence (AI) in sports market includes revenues earned by entities by providing services such as virtual training, content creation, athlete branding and commercialization, and personalized fan engagement. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The generative artificial intelligence (AI) in sports market consists of sales of smart wearables, interactive training equipment, and personalized rehabilitation tools. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

Generative artificial intelligence (AI) in sports pertains to a category of AI that focuses on the generation, synthesis, or creation of content, data, or elements associated with the domain of sports. Its application aims to enhance fan engagement, create novel revenue streams, and elevate the overall sports experience for both fans and athletes.

Generative artificial intelligence (AI) finds applications across various sports, encompassing football, tennis, cricket, basketball, hockey, golf, and others. Football, a team sport with two teams of 11 players each playing on a rectangular pitch with goals at either end, utilizes AI deployment in diverse modes, including cloud and on-premises. Its applications in football extend to performance analysis, game strategies, sports equipment design, and various other aspects.

The generative artificial intelligence (AI) in sports market research report is one of a series of new reports that provides generative artificial intelligence (AI) in sports market statistics, including generative artificial intelligence (AI) in sports industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in sports market share, detailed generative artificial intelligence (AI) in sports market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in sports industry. This generative artificial intelligence (AI) in sports market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


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