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1843568

2025年全球运动人工智慧市场报告

AI In Sports Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，人工智慧在体育领域的市场规模呈指数级增长，从2024年的23.9亿美元增长到2025年的30.8亿美元，复合年增长率达29.1%。这一成长主要受以下因素驱动：对提升运动表现、增强球迷互动、预防和管理伤害、辅助策略决策以及应对市场竞争的需求。

预计未来几年，体育人工智慧市场将呈指数级增长，到2029年市场规模将达到85.8亿美元，复合年增长率（CAGR）高达29.2%。预测期内的成长可归因于体育分析技术的进步、运动员发展计画的完善、人工智慧技术的全球普及、对资料安全日益重视以及与穿戴式技术的融合。预测期内的关键趋势包括：人工智慧在电竞领域的应用、人工智慧驱动的运动博彩和预测分析、伦理使用和资料隐私问题、与运动科学和医学领域的合作，以及人工智慧驱动的个人化粉丝体验。

体育领域的人工智慧是指利用机器学习和电脑视觉等人工智慧技术，透过运用演算法分析和处理来自感测器、视讯影像和其他资讯管道等各种来源的数据，来增强体育运动表现、训练和球迷参与度的各个方面，从而为运动员、教练和球迷提供见解和建议。

体育领域的人工智慧解决方案主要分为软体、服务和硬体三大类。软体涵盖电脑系统的无形组成部分，例如程式、数据和指令，这些都指导着电脑的运作。软体的应用范围十分广泛，涵盖足球、板球、网球、篮球和棒球等多种运动项目。这些解决方案可以透过云端或本地部署，并运用机器学习、自然语言处理、电脑视觉和数据分析等技术。人工智慧在运动领域的应用十分多样，包括比赛规划、策略制定、成绩提升、伤害预防和运动员招募等。

美国关税的突然上调以及由此引发的贸易摩擦，在2025年春季对资讯科技产业，尤其是硬体製造、资料基础设施和软体部署领域，产生了重大影响。进口半导体、电路基板和网路设备的关税提高，并推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司面临更长的前置作业时间和价格压力。同时，对专用软体征收的关税以及主要国际市场的报復性措施，扰乱了全球IT供应链，并降低了海外对美国製造技术的需求。为了应对这些挑战，该行业正在加大对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化技术来增强韧性并简化成本管理。

《体育人工智慧市场研究报告》是商业研究公司最新发布的系列报告之一，提供体育人工智慧市场统计数据，例如全球市场规模、区域份额、竞争对手及其市场份额、详细的市场细分、市场趋势以及体育人工智慧行业的商业机会。这份体育人工智慧市场研究报告对该行业的现状和未来发展趋势进行了详细分析，为您提供所需的一切观点。

我们预测未来五年该市场将成长29.2%，较先前预测略微下调0.3%。这一下调主要归因于美国与其他国家之间的关税影响。关税可能直接影响美国，推高依赖德国和以色列製造的运动追踪感测器的AI性能分析工具的成本，并限制数据主导教练的发展。此外，由于相互关税以及不断升级的贸易紧张局势和限制措施对全球经济和贸易造成的负面影响，其影响范围也将更加广泛。

对即时数据分析日益增长的需求预计将在未来推动人工智慧在运动市场的发展。即时数据分析是指对产生或接收的数据进行持续分析，使组织能够基于最新资讯快速做出明智的决策。随着越来越多的公司需要利用最新数据做出快速、明智的决策，这种需求也不断增长。在运动领域，利用人工智慧进行即时数据分析，透过即时评估球员和比赛统计数据，帮助球队获得宝贵的洞察，提升表现，并在比赛中做出策略决策。例如，根据美国劳工统计局2024年8月发布的报告，从2021年到2031年，数据分析职位的需求预计将成长23%，远高于所有产业5%的平均成长率。因此，对即时数据分析日益增长的需求预计将推动人工智慧在体育市场的扩张。

网路游戏的兴起也是推动人工智慧（AI）在运动市场发展的关键因素之一。网路游戏，即透过网路进行电子游戏，通常是在大型多人线上（MMO）环境下进行，其参与人数显着增长。人工智慧在创造更具沉浸感和吸引力的网路游戏体验方面发挥着至关重要的作用，它能够促进虚拟角色和环境之间逼真且动态的互动。这提升了整体游戏体验，使玩家获得更大的乐趣和成就感。根据互动 Limited预测，到2023年，全球将有约11.7亿人定期参与某种形式的网路游戏。网路游戏活动的激增正在推动人工智慧在运动市场的发展，而这项技术也正在推动虚拟体育体验的演进。

技术进步是体育人工智慧市场的一大趋势，领先企业积极采用新技术以维持市场地位。 2022年10月，总部位于美国的AI主导体育技术解决方案公司Epoxy AI推出了Audience Cloud技术。这项创新的体育技术为游戏营运商和体育媒体机构提供关键洞察，使他们能够更好地了解客户与产品的互动，尤其是在消费者偏好随赛季和球迷群体演变而变化的情况下。 Audience Cloud利用客製化开发的AI技术，持续建构体育迷行为的全面视图，并改善运动游戏和媒体分析。该技术从包括投注、观看习惯和各种情境指标在内的多种来源收集使用者资料。

为了巩固市场地位，体育人工智慧领域的主要企业正致力于技术进步，包括开发人工智慧运动员。这些运动员利用人工智慧监测和分析运动员的表现，从而优化训练计划，找出需要改进的地方，并全面提升运动员的竞技水平。 2023年9月，总部位于澳洲的私人公司Behaviol Pty Ltd.推出了META11梦幻锦标赛，这是全球首款免费的人工智慧驱动的板球梦幻游戏。锦标赛以玩家的幸福感和游戏乐趣为首要目标，其人工智慧运动员能够不断适应和学习，准确预测比赛结果，并为角色及其故事建立复杂的情节。

2022年2月，专注于创新比赛改进技术的美国公司Slinger Bag Inc.收购了Gameface.AI，具体金额未揭露。透过此次策略收购，Slinger Bag Inc.旨在提供更先进、更个人化的训练和指导解决方案，扩大市场覆盖范围，在体育科技市场获得竞争优势，并与竞争对手形成差异化。 Gameface.AI是一家总部位于澳洲的人工智慧软体公司，专注于开发用于体育分析的人工智慧平台，并致力于推动人工智慧在运动产业的应用发展。

体育市场的主要参与者包括：国际商业机器公司 (IBM)、SAP SE、SAS Institute Inc.、Sportradar AG、亚马逊公司 (Amazon Inc.)、微软公司 (Microsoft Corporation)、苹果公司 (Apple Inc.)、Opta Sports 公司、Catapult Group International Ltd.、Trumedias、Salesal. Inc.、Athos、Arccos Golf LLC、Square Off、Kitman Labs、Zone7 Technologies Inc.、KINEXON Sports & Media GmbH、Second Spectrum Inc.、Zebra Technologies India Pvt. Ltd.、Facebook Inc.、Stats Perform、ChyronHego Corporation、ShotTracker Inc。

2024年，北美是体育人工智慧市场最大的区域。预计在预测期内，亚太地区将成为全球体育人工智慧市场成长最快的区域。这篇体育人工智慧市场报告涵盖亚太地区、西欧、中东欧、北美、南美以及中东和非洲。

《体育人工智慧市场报告》涵盖以下国家：澳洲、巴西、中国、法国、德国、印度、印尼、日本、俄罗斯、韩国、英国、美国、加拿大、义大利和西班牙。

体育人工智慧市场由提供体育人工智慧服务的营业单位所获得的收入构成，这些服务包括运动员追踪与分析、伤病预防与復健、比赛策略优化、赛事转播製作和票务销售服务等。市场价值还包括服务供应商销售的或包含在其服务产品中的相关商品的价值。体育人工智慧市场还包括用于提供体育人工智慧服务的可穿戴技术设备、智慧型手錶、健身追踪器、运动员追踪与分析工具以及人工智慧运动器材的销售。该市场的价值为“出厂价”，即商品製造商或创造者向其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接向最终客户销售的商品价值。该市场中的商品价值也包括商品创造者提供的相关服务的价值。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 人工智慧在全球体育领域的应用：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球体育人工智慧市场：增长率分析
  • 全球运动人工智慧市场表现：规模与成长，2019-2024年
  • 全球运动人工智慧市场预测：规模与成长，2024-2029年，2034年预测
  • 全球运动领域的人工智慧：潜在市场规模（TAM）

第六章 市场细分

  • 全球运动人工智慧市场：按解决方案、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 软体
  • 硬体
  • 全球运动人工智慧市场：依比赛类型、表现和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 足球
  • 蟋蟀
  • 网球
  • 篮球
  • 全球运动领域人工智慧市场：部署、效能与预测（2019-2024 年、2024-2029 年预测、2034 年预测）
  • 云
  • 本地部署
  • 全球运动领域人工智慧市场：依技术、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 机器学习
  • 自然语言处理
  • 电脑视觉
  • 数据分析
  • 其他技术
  • 全球运动领域人工智慧市场：按应用、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 游戏计划
  • 游戏策略
  • 性能提升
  • 预防伤害
  • 体育招聘
  • 其他用途
  • 全球运动人工智慧市场：细分市场、软体（按类型）、效能与预测，2019-2024年、2024-2029年预测、2034年预测
  • 分析软体
  • 玩家追踪软体
  • 效能监控软体
  • 视讯分析软体
  • 游戏策略软体
  • 全球运动人工智慧市场：细分市场、硬体（按类型）、效能及预测，2019-2024年、2024-2029年预测、2034年预测
  • 穿戴式装置
  • 智慧型相机
  • 感应器
  • 无人机
  • GPS装置

第七章 区域和国家分析

  • 全球运动人工智慧市场：按地区、表现和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 全球运动人工智慧市场：按国家、表现和预测划分，2019-2024 年、2024-2029 年预测、2034 年预测

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 人工智慧在体育领域的应用：竞争格局
  • 体育人工智慧市场：公司概况
    • International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • SAP SE Overview, Products and Services, Strategy and Financial Analysis
    • SAS Institute Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Sportradar AG Overview, Products and Services, Strategy and Financial Analysis
    • Amazon Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Microsoft Corporation
  • Apple Inc.
  • Opta Sports company
  • Catapult Group International Ltd.
  • Trumedia Networks
  • Salesforce.com Inc.
  • Synergy Sports Technology
  • Krossover
  • The Chyron Corporation
  • FocusMotion
  • VeoRide Inc.
  • Athos
  • Arccos Golf LLC
  • Square Off
  • Kitman Labs

第32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年体育人工智慧市场：提供新机会的国家
  • 2029年体育人工智慧市场：新兴细分市场蕴藏新的机会
  • 2029年体育人工智慧市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r23886u

AI in sports involves the utilization of artificial intelligence techniques, including machine learning and computer vision, to enhance different aspects of sports performance, training, and fan engagement. This entails employing algorithms to analyze and process data from various sources, such as sensors, video footage, and other information channels, to provide insights and recommendations to athletes, coaches, and fans.

The main categories of solutions in AI in sports include software, services, and hardware. Software encompasses the intangible components of a computer system, including programs, data, and instructions that guide the computer's operations. It is applied across various sports such as football, cricket, tennis, basketball, baseball, and others. These solutions may be deployed through cloud or on-premise setups and utilize technologies such as machine learning, natural language processing, computer vision, data analytics, among others. The applications of AI in sports span game planning, strategies, performance improvement, injury prevention, sports recruitment, and more.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The AI in sports market research report is one of a series of new reports from The Business Research Company that provides AI in sports market statistics, including AI in sports industry global market size, regional shares, competitors with a AI in sports market share, detailed AI in sports market segments, market trends and opportunities, and any further data you may need to thrive in the AI in sports industry. This 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 ai in sports market size has grown exponentially in recent years. It will grow from $2.39 billion in 2024 to $3.08 billion in 2025 at a compound annual growth rate (CAGR) of 29.1%. The growth in the historic period can be attributed to performance optimization demands, fan engagement enhancement, injury prevention and management, strategic decision-making, and market competitiveness.

The ai in sports market size is expected to see exponential growth in the next few years. It will grow to $8.58 billion in 2029 at a compound annual growth rate (CAGR) of 29.2%. The growth in the forecast period can be attributed to evolution of sports analytics, enhanced athlete development programs, global expansion of AI technologies, growing emphasis on data security, and integration with wearable technologies. Major trends in the forecast period include the expansion of AI in esports, AI-based sports betting and predictive analytics, ethical use and data privacy concerns, collaboration with sports science and medicine, and customized fan experiences through AI.

The forecast of 29.2% growth over the next five years reflects a modest reduction of 0.3% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US by increasing costs for AI-powered performance analytics tools, reliant on motion-tracking sensors from Germany and Israel, limiting data-driven coaching advancements. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The increasing demand for real-time data analytics is projected to drive the growth of AI in the sports market in the future. Real-time data analytics involves the continuous analysis of data as it is generated or received, enabling organizations to make prompt and informed decisions based on the most current information. This demand is rising as businesses increasingly require the ability to make swift, informed choices using up-to-date data. In the sports sector, AI-driven real-time data analytics helps teams derive valuable insights, improve performance, and make strategic decisions during games by evaluating player and game statistics in real time. For example, a report released in August 2024 by the Bureau of Labor Statistics, a US government agency, indicated that the demand for data analytics jobs is anticipated to increase by 23% from 2021 to 2031, significantly surpassing the average growth rate of 5% for all industries. Consequently, the growing demand for real-time data analytics is expected to fuel the expansion of AI in the sports market.

The rise in online gaming is another key factor propelling the growth of artificial intelligence (AI) in the sports market. Online gaming, involving playing video games over the internet, often in a multiplayer environment, has witnessed a substantial increase in participation. AI plays a pivotal role in creating more immersive and engaging online gaming experiences by facilitating realistic and dynamic interactions between virtual characters and environments. This enhances the overall gaming experience, making it more enjoyable and challenging for players. According to Uswitch Limited in 2023, there is an estimated 1.17 billion people globally who consistently play some form of online game. The surge in online gaming activities is a driving force behind the growth of AI in the sports market, as the technology contributes to the evolution of virtual sports experiences.

Technological advancements are a key and prevailing trend in the AI in sports market, with major companies actively embracing new technologies to maintain their positions. In October 2022, Epoxy ai, a US-based AI-driven sports technology solutions company, introduced its Audience Cloud technology. This innovative sports technology provides critical insights to gaming operators and sports media organizations, enabling them to better understand customer interactions with their products over time as consumer preferences change with seasons and fandoms evolve. The Audience Cloud utilizes custom-built AI to continuously capture a comprehensive picture of sports fan behavior, facilitating improved analysis for sports gaming and media. The technology gathers user data from diverse sources, including betting, viewing trends, and various contextual indicators.

Major companies operating in the AI in sports market are directing their efforts towards technological advancements, including the development of AI-powered athletes, to fortify their market positions. AI-powered athletes involve monitoring and analyzing athletes' performance using artificial intelligence, leading to optimized training programs, identification of improvement areas, and overall enhancement of athletic performance. In September 2023, Behaviol Pty Ltd., an Australia-based private company, launched the META11 Fantasy tournament, featuring the world's first-ever free-to-play, AI-powered cricket fantasy game. The tournament prioritizes player well-being and enjoyment, with AI-powered athletes designed to adapt and learn, accurately predicting game outcomes and crafting intricate narratives for characters and their stories.

In February 2022, Slinger Bag Inc., a US-based company specializing in innovative game improvement technologies, acquired Gameface.AI for an undisclosed amount. Through this strategic acquisition, Slinger Bag Inc. aims to provide more advanced and personalized training and coaching solutions, expand market reach, gain a competitive edge in the sports technology market, and differentiate itself from competitors. Gameface.AI, an Australia-based artificial intelligence software company, is focused on developing an AI platform for sports analytics, contributing to the advancement of AI applications in the sports industry.

Major companies operating in the AI in sports market include International Business Machines Corporation, SAP SE, SAS Institute Inc., Sportradar AG, Amazon Inc., Microsoft Corporation, Apple Inc., Opta Sports company, Catapult Group International Ltd., Trumedia Networks, Salesforce.com Inc., Synergy Sports Technology, Krossover, The Chyron Corporation, FocusMotion, VeoRide Inc., Athos, Arccos Golf LLC, Square Off, Kitman Labs, Zone7 Technologies Inc, KINEXON Sports & Media GmbH, Second Spectrum Inc., Zebra Technologies India Pvt. Ltd., Facebook Inc., Stats Perform, ChyronHego Corporation, ShotTracker Inc., PlaySight Interactive Inc., Hawk-Eye Innovations Ltd.

North America was the largest region in the AI in sports market in 2024. Asia-Pacific is expected to be the fastest-growing region in the global AI in sports market report during the forecast period. The regions covered in the ai in sports market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the ai in sports market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The AI in the sports market consists of revenues earned by entities by providing AI in sports services such as athlete tracking and analysis, injury prevention and rehabilitation, game strategy optimization, broadcast production, and ticketing services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in sports market also includes sales of wearable technology devices, smartwatches, fitness trackers, athlete tracking and analysis tools, and AI sports equipment, which are used in providing AI in sports services. 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).

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.

AI In Sports Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in sports market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for ai in sports ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai in sports market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Solution: Software; Hardware
  • 2) By Game Type: Football; Cricket; Tennis; Basketball
  • 3) By Deployment: Cloud; On-Premise
  • 4) By Technology: Machine Learning; Natural Language Processing; Computer Vision; Data Analytics; Other Technologies
  • 5) By Application: Game Planning; Game Strategies; Performance Improvement; Injury Prevention Sports Recruitment; Others Applications
  • Subsegments:
  • 1) By Software: Analytics Software; Player Tracking Software; Performance Monitoring Software; Video Analysis Software; Game Strategy Software
  • 2) By Hardware: Wearable Devices; Smart Cameras; Sensors; Drones; GPS Devices
  • Companies Mentioned: International Business Machines Corporation; SAP SE; SAS Institute Inc.; Sportradar AG; Amazon Inc.; Microsoft Corporation; Apple Inc.; Opta Sports company; Catapult Group International Ltd.; Trumedia Networks; Salesforce.com Inc.; Synergy Sports Technology; Krossover; The Chyron Corporation; FocusMotion; VeoRide Inc.; Athos; Arccos Golf LLC; Square Off; Kitman Labs; Zone7 Technologies Inc; KINEXON Sports & Media GmbH; Second Spectrum Inc.; Zebra Technologies India Pvt. Ltd.; Facebook Inc.; Stats Perform; ChyronHego Corporation; ShotTracker Inc.; PlaySight Interactive Inc.; Hawk-Eye Innovations Ltd.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. AI In Sports Market Characteristics

3. AI In Sports Market Trends And Strategies

4. AI In Sports Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global AI In Sports Growth Analysis And Strategic Analysis Framework

  • 5.1. Global AI In Sports PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global AI In Sports Market Growth Rate Analysis
  • 5.4. Global AI In Sports Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global AI In Sports Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global AI In Sports Total Addressable Market (TAM)

6. AI In Sports Market Segmentation

  • 6.1. Global AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Hardware
  • 6.2. Global AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Football
  • Cricket
  • Tennis
  • Basketball
  • 6.3. Global AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud
  • On-Premise
  • 6.4. Global AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Data Analytics
  • Other Technologies
  • 6.5. Global AI In Sports Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Game Planning
  • Game Strategies
  • Performance Improvement
  • Injury Prevention
  • Sports Recruitment
  • Others Applications
  • 6.6. Global AI In Sports Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Analytics Software
  • Player Tracking Software
  • Performance Monitoring Software
  • Video Analysis Software
  • Game Strategy Software
  • 6.7. Global AI In Sports Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Wearable Devices
  • Smart Cameras
  • Sensors
  • Drones
  • GPS Devices

7. AI In Sports Market Regional And Country Analysis

  • 7.1. Global AI In Sports Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global AI In Sports Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific AI In Sports Market

  • 8.1. Asia-Pacific AI In Sports Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI In Sports Market

  • 9.1. China AI In Sports Market Overview
  • 9.2. China AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI In Sports Market

  • 10.1. India AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI In Sports Market

  • 11.1. Japan AI In Sports Market Overview
  • 11.2. Japan AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI In Sports Market

  • 12.1. Australia AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI In Sports Market

  • 13.1. Indonesia AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI In Sports Market

  • 14.1. South Korea AI In Sports Market Overview
  • 14.2. South Korea AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI In Sports Market

  • 15.1. Western Europe AI In Sports Market Overview
  • 15.2. Western Europe AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI In Sports Market

  • 16.1. UK AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI In Sports Market

  • 17.1. Germany AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI In Sports Market

  • 18.1. France AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI In Sports Market

  • 19.1. Italy AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI In Sports Market

  • 20.1. Spain AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI In Sports Market

  • 21.1. Eastern Europe AI In Sports Market Overview
  • 21.2. Eastern Europe AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI In Sports Market

  • 22.1. Russia AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI In Sports Market

  • 23.1. North America AI In Sports Market Overview
  • 23.2. North America AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI In Sports Market

  • 24.1. USA AI In Sports Market Overview
  • 24.2. USA AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI In Sports Market

  • 25.1. Canada AI In Sports Market Overview
  • 25.2. Canada AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI In Sports Market

  • 26.1. South America AI In Sports Market Overview
  • 26.2. South America AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI In Sports Market

  • 27.1. Brazil AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI In Sports Market

  • 28.1. Middle East AI In Sports Market Overview
  • 28.2. Middle East AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI In Sports Market

  • 29.1. Africa AI In Sports Market Overview
  • 29.2. Africa AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. AI In Sports Market Competitive Landscape And Company Profiles

  • 30.1. AI In Sports Market Competitive Landscape
  • 30.2. AI In Sports Market Company Profiles
    • 30.2.1. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. SAP SE Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. SAS Institute Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Sportradar AG Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Amazon Inc. Overview, Products and Services, Strategy and Financial Analysis

31. AI In Sports Market Other Major And Innovative Companies

  • 31.1. Microsoft Corporation
  • 31.2. Apple Inc.
  • 31.3. Opta Sports company
  • 31.4. Catapult Group International Ltd.
  • 31.5. Trumedia Networks
  • 31.6. Salesforce.com Inc.
  • 31.7. Synergy Sports Technology
  • 31.8. Krossover
  • 31.9. The Chyron Corporation
  • 31.10. FocusMotion
  • 31.11. VeoRide Inc.
  • 31.12. Athos
  • 31.13. Arccos Golf LLC
  • 31.14. Square Off
  • 31.15. Kitman Labs

32. Global AI In Sports Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI In Sports Market

34. Recent Developments In The AI In Sports Market

35. AI In Sports Market High Potential Countries, Segments and Strategies

  • 35.1 AI In Sports Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 AI In Sports Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 AI In Sports Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer