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The Artificial Intelligence in Sports Market is Predict to reach USD 34.41 Billion by 2032, at a CAGR of 20.8%

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Artificial Intelligence in Sports Market Growth, Trends and Report Highlights

According to a new report, published by KBV research, The Global Artificial Intelligence in Sports Market size is expected to reach $34.41 billion by 2032, rising at a market growth of 20.8% CAGR during the forecast period.

Artificial Intelligence (AI) has rapidly emerged as one of the most transformative technologies across industries, and its impact on the sports sector is both profound and far-reaching. From elite-level professional sports to grassroots development, AI technologies are being adopted to enhance performance, improve operational efficiency, personalize fan engagement, and drive new revenue streams.

Artificial Intelligence in Sports Market Size - By Region

The Services segment registers a CAGR of 21.5% during (2025 - 2032). This category includes consulting, integration, support, and training services that enable the successful deployment and use of AI solutions. The rise in demand for personalized implementation strategies, ongoing technical support, and system optimization is driving the growth of the services segment. Sports organizations are increasingly relying on expert service providers to tailor AI technologies to their specific operational needs, helping bridge the gap between advanced AI capabilities and real-world applications on and off the field.

The Gen AI segment is leading the Global Artificial Intelligence in Sports Market by Technology in 2024; thereby, achieving a market value of $17.42 billion by 2032. This technology leverages deep learning models to generate new content, simulations, or insights based on existing data. In the sports domain, Gen AI is increasingly being applied to create dynamic content for fan engagement, such as automated highlights, commentary, personalized marketing material, and even virtual avatars of athletes. It is also used in tactical simulations, injury forecasting, and strategy development by analyzing vast volumes of unstructured data. The ability of Gen AI to mimic human creativity and enhance personalization is making it an attractive solution across sports organizations, media houses, and tech providers.

The Esports segment is anticipating a CAGR of 21.2% during (2025 - 2032). The integration of AI in esports spans a wide array of functions including gameplay analytics, real-time commentary, audience engagement tools, and anti-cheat systems. AI-driven platforms also assist in player skill development and matchmaking algorithms. The rapid global growth of competitive gaming, coupled with an increasingly digital-native audience, has fueled investments in intelligent systems that enhance the esports ecosystem. This has positioned the esports segment as one of the fastest-growing areas within the AI in sports landscape.

Full Report: https://www.kbvresearch.com/artificial-intelligence-in-sports-market/

The North America region dominated the Global Artificial Intelligence in Sports Market by Region in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $12.32 billion by 2032.  The Europe region is experiencing a CAGR of 20.3% during (2025 - 2032). Additionally, The Asia Pacific region would showcase a CAGR of 21.7% during (2025 - 2032).

List of Key Companies Profiled

  • IBM Corporation
  • Microsoft Corporation
  • Trumedia Networks, Inc.
  • Google LLC (Alphabet Inc.)
  • SAP SE
  • Stats Perform Group
  • SAS Institute Inc.
  • Oracle Corporation
  • Sportradar Group AG
  • Catapult Group International Ltd.

Artificial Intelligence in Sports Market Report Segmentation

By Offering

  • Solution
  • Services

By Sports Type

  • Team Sports
  • Esports
  • Individual

By Technology

  • Gen AI
  • Other AI

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

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