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Artificial Intelligence in Sports Market is Anticipated to Witness High Growth

Artificial Intelligence in Sports Market

Artificial intelligence (AI) in sports refers to the use of AI technologies such as machine learning, deep learning, and natural language processing to enhance several aspects of sports. AI helps in video analysis, player performance analysis, fan engagement, sports recruitment, game strategies with real-time stats, prediction of results, injury prevention, and computer-generated highlights. The growing demand for sports analytics is primarily driving the AI in sports market.

The Global artificial intelligence in sports market is estimated to be valued at US$ 30.98 Bn in 2024 and is expected to exhibit a CAGR of 26% over the forecast period 2024 to 2031.

Key players operating in the artificial intelligence in sports market are Amazon Web Services, Inc., Apple Inc., Catapult Group International Ltd, Fujitsu Limited, Google LLC, IBM Corporation, Intel Corporation, Microsoft Corporation, Movella Holdings Inc., NEC Corporation, Oracle Corporation, Perform Group, Qualcomm Technologies, Inc., Salesforce.com Inc., and SAS Institute, Inc.

Key Takeaways

Key players: Key players operating in the artificial intelligence in sports are Amazon Web Services, Inc., Apple Inc., Catapult Group International Ltd, Fujitsu Limited, Google LLC, IBM Corporation, Intel Corporation, Microsoft Corporation, Movella Holdings Inc., NEC Corporation, Oracle Corporation, Perform Group, Qualcomm Technologies, Inc., Salesforce.com Inc., and SAS Institute, Inc. They are focusing on new product launches and partnerships to strengthen their presence in the artificial intelligence in sports market.

Key opportunities: The growing Artificial Intelligence in Sports Market Growth for real-time sports data analysis, increasing adoption of wearable devices, and rising investments in AI startups present significant growth opportunities for players in the artificial intelligence in sports market. Researchers are exploring new AI and machine learning techniques to gain meaningful insights from the massive amounts of data generated during sports events.

Global Expansion: Leading AI technology companies are expanding their artificial intelligence capabilities and infrastructure globally to better support sports organizations across the world. Cloud deployment of AI-based sports analytics platforms is enabling real-time decision making for international sports leagues and teams. Increased R&D is expanding the applications of AI beyond traditional use cases.

Market Drivers

growing demand for sports analytics from teams, leagues and broadcasters to gain competitive advantage is a key factor driving the artificial intelligence in sports market. AI helps optimize player performance, assess opponents' strategies, detect irregular betting patterns and engage fans. Rapid advancements in deep learning, predictive analysis, and sensor technologies has increased the utility of Artificial Intelligence in Sports Market Analysis. The large volume of data generated during games and practice sessions combined with cheap storage has accelerated the adoption of AI solutions across various spectrums of sports.

Market Restraints

Lack of skilled workforce and high investment requirements are major challenges restraining rapid adoption of AI technologies in sports. Significant time, money and expertise are needed for development, testing, and integration of cutting-edge AI models. Smaller sports organizations may find it difficult to procure and deploy advanced AI tools due to budget constraints. Privacy and security of sensitive player, team and game data is another concern that needs to be addressed for widespread acceptance of AI in sports. Regulatory hurdles in some countries could also act as a bottleneck for global expansion of AI companies.

Segment Analysis

The Artificial Intelligence in Sports Market can be segmented based on technology, component, application, vertical, and region. Based on technology, the machine learning segment currently dominates the market. Machine learning can analyze player performance, videos, game data, and more to gain valuable insights. It helps improve player performance, enhance fan experiences, reduce injury risks, optimize team strategies and drive revenue for teams and leagues.

Within components, the hardware segment rules the market. Hardware such as processors, sensors, wearable devices that capture sports data feed the data to AI systems for analysis. The segment is growing due to the rising adoption of smart devices in sports.

Global Analysis

On the basis of region, North America holds the largest share in the Artificial Intelligence in Sports Market. Early adoption of AI technologies, presence of major AI players, and established sports industry are driving growth in the region. The Asia Pacific region is expected to grow at the fastest pace during the forecast period. Rapid digitization, increasing investments in AI by China, Japan, and India are factors contributing to the growth. Penetration of AI-based wearable devices and mobile apps for training, scouting, and analytics is fueling adoption across different Asian countries.

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About Author:

Ravina Pandya, Content Writer, has a strong foothold in the market research industry. She specializes in writing well-researched articles from different industries, including food and beverages, information and technology, healthcare, chemical and materials, etc. (https://www.linkedin.com/in/ravina-pandya-1a3984191)

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