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市场调查报告书
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1642159

体育人工智慧 -市场占有率分析、行业趋势和统计、成长预测（2025-2030 年）

AI In Sports - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

体育市场中的人工智慧预计将从 2025 年的 76.3 亿美元成长到 2030 年的 269.4 亿美元，预测期内（2025-2030 年）的复合年增长率超过 28.69%。

体育市场中的人工智慧-IMG1

市场发展的驱动力是科技在运动，尤其是已开发体育运动的应用日益增加。此外，随着规模经济导致成本下降，预计该系统将在大学和青少年级别的各种体育项目中使用。此外，随着技术逐年发展，其应用范围预计还会扩大。

关键亮点

  • 各体育组织产生的场内和场外资料量正在增加，推动了对资料进行管理和分析的需求。因此，体育产业中可穿戴设备的数量正在增加，以满足对监测和追踪运动员资料日益增长的需求。这些设备会产生有关运动员的表现和健身变数的详细资料，包括心率、速度和加速度。
  • 2023年11月，拉夫堡大学与全球领先的人工智慧打击网路诈欺和威胁的领导者之一 Signify Group 宣布就体育领域的网路诈欺进行学术研究展开合作。 Signify 在该领域拥有良好的业绩记录，与国际领先的足球、网球、板球、电子竞技、橄榄球、篮球和田径组织合作开展过备受瞩目的计划。
  • 人工智慧将用于分析资料并吸引粉丝。比赛期间透过资料分析获得的即时见解可以帮助球队修改策略。全球体育人工智慧市场的成长是由透过虚拟助理和聊天机器人与球迷沟通的愿望，以及对球员监控和追踪资料日益增长的需求所驱动。
  • 此外，对即时资料分析的不断增长的需求也刺激了市场扩张。但由于缺乏合格且有能力的人力，以及高昂的安装和维护成本，它受到限制。儘管如此，对人工智慧进行未来预测的需求不断增加，预计将在预测期内为市场发展创造有利可图的机会。

体育领域人工智慧 (AI) 的市场趋势

球迷对运动的参与度不断提高有望推动市场发展

  • 如今，粉丝已不再只是消费者。他们积极参与、分析、批评、幻想，并与自己喜欢的球队和队员即时联繫。他们正在成为这个联盟时代真正的品牌合作伙伴。俱乐部理解并利用这种新的关係非常重要。
  • 季票持有者占俱乐部收益的最大份额，因此是我们的首要任务。但俱乐部和票务供应商越来越多地透过主场体验来吸引球迷到体育场馆。透过分析资料并使用微细分，AI 可以提供针对特定粉丝的促销和优惠券。
  • 此外，如今的球迷是“社交体育球迷”，社交媒体网站赋予他们比以往更大的权力以及接触球员、教练和老闆的机会。因此，球迷们开始期待对球队决策产生一定的影响。巴西的环球电视台 (Globo TV) 利用这种兴趣，利用社交媒体和数位技术，透过与 IBM 合作开发的一款行动应用程式来增加世界杯期间球迷的参与度。
  • 此外，无法利用积极的球迷活动来赚钱的俱乐部可能会在门票销售和品牌股权方面遭受重大挫折。相反，更多球迷对球队的参与度可以带来更多的门票购买量和更多的收益。
  • 据 BoomSocial 称，截至 2023 年 7 月，土耳其体育类别中关注度最高的 Instagram 帐户是梅苏特·厄齐尔 (Mesut Ozil)，拥有约 2680 万粉丝。排名第二的是加拉塔萨雷和费内巴切体育俱乐部的 Instagram 帐户，分别拥有约 1300 万和 890 万粉丝。

预计北美仍将是全球最大市场

  • 北美地区拥有世界上最具活力的国内联盟体系之一，在大学和联盟层面对体育运动进行了大量社会和经济投资。美国即使放在全球来看也是一个体育发达的国家，根据史丹佛大学的报告，四大职业运动占到了美国经济活动的0.1%。
  • 大多数美国联盟和俱乐部都有企业赞助，该地区拥有世界上最熟练的劳动力之一，为体育界人工智慧（AI）的发展做出了贡献。人工智慧对赛前和赛中策略都产生了重大影响，电脑分析会影响阵容决策。透过解释各种指标，包括旋转、速度、发球位置、球员姿势和动作，可以提高运动表现。
  • Argo Ai 和福特等公司正在与 NASCAR 合作，以提高高风险赛车运动的安全性。深度学习正在被用于改善安全措施，人工智慧在运动中的融合预计将继续扩大。

人工智慧在体育产业概述

体育人工智慧市场集中度较高，少数主要企业占市场占有率。然而，科技在体育领域的传播有望创造新的机会并吸引新的参与企业。我们将介绍一些最近的市场发展趋势。

  • 2023 年 10 月——IBM 和 ESPN 宣布他们将使用 Watsonx 构建的 AI 模型将梦幻足球资料转化为见解。预计该模型今年将为幻想经理提供超过 480 亿条见解，从推荐互惠互利的交易机会到确定豁免名单上的最佳球员以满足球队的特定需求。
  • 2022 年 10 月 - 人工智慧领导者 Veritone 推出 Sport X，这是一个智慧市场，内容创作者和版权持有者可以向第三方授权短篇体育内容。 Sport X 会自动将已获版权许可、已编入索引、元资料丰富的影片发送给媒体购买者，媒体购买者可以将其用于编辑目的、精彩片段和数位内容。这包括新闻、社群媒体贴文、用户生成内容等。

其他福利

  • Excel 格式的市场预测 (ME) 表
  • 3 个月的分析师支持

目录

第 1 章 简介

  • 调查前提条件
  • 研究范围

第二章调查方法

第三章执行摘要

第四章 市场动态

  • 市场概况
  • 市场驱动因素
    • 即时资料分析需求日益增长
    • 需要预测性见解来提高粉丝参与度
    • 球迷对运动的参与度提高
  • 市场限制
    • 实施完整解决方案的初始投资较高
  • 产业价值链分析
  • 产业吸引力-波特五力分析
    • 新进入者的威胁
    • 购买者/消费者的议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争对手之间的竞争强度

第五章 市场区隔

  • 按应用
    • 参与企业分析
    • 粉丝参与
    • 资料解释与分析
    • 其他的
  • 按部署
    • 本地
    • 云
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 其他的

第六章 竞争格局

  • 公司简介
    • SAS Institute Inc.
    • Opta Sports（Perform Group）
    • Sportsradar AG
    • Catapult Group International Ltd
    • IBM Corporation
    • SAP SE
    • SAS Institute Inc.
    • Trumedia Networks
    • Salesforce.com Inc.（Tableau Software Inc.）

第七章投资分析

第八章 市场机会与未来趋势

简介目录
Product Code: 67002

The AI Market In Sports Industry is expected to grow from USD 7.63 billion in 2025 to USD 26.94 billion by 2030, at a CAGR of greater than 28.69% during the forecast period (2025-2030).

AI In Sports - Market - IMG1

The growth of the market is driven by the increasing use of technology in sports, particularly in well-developed sports. As the prices of these services decrease due to economies of scale, they are expected to be utilized in university and junior levels of various sports. Furthermore, as technology evolves every year, its applications are expected to widen.

Key Highlights

  • The volume of on-field and off-field data generated by various sports organizations has increased, leading to the need for managing and analyzing the data. As a result, the number of wearable devices in the sports industry has increased to meet the growing demand for monitoring and tracking player data. These devices generate detailed data on player performance and fitness variables such as heartbeat, speed, and acceleration.
  • In November 2023, Loughborough University and Signify Group, one of the global leaders in leveraging AI to combat online abuse and threat, announced a collaboration that would see them collaborate on academic research into online abuse in sports. Signify has a proven track record in the sector, conducting high-profile projects with leading organizations in international football, tennis, cricket, esports, rugby, basketball, and athletics organizations.
  • Artificial intelligence is used to analyze the data and engage fans. Real-time insights generated through data analysis during match time help teams make changes to their strategies. The growth of worldwide artificial intelligence in the sports market is driven by the desire for virtual assistants and chatbots to communicate with fans, as well as the increasing demand for player monitoring and tracking data.
  • The expansion of the market is also fueled by the rise in demand for real-time data analytics. However, it is limited by the shortage of qualified and competent personnel, as well as the high installation and maintenance costs. Nonetheless, the increasing demand for AI in generating future predictions is expected to create lucrative opportunities for market advancement during the projected period.

Artificial Intelligence (AI) in Sports Market Trends

Increasing Engagement of Fans in Sports is Expected to Drive the Market

  • Today, fans are much more than mere consumers. They seek to actively participate, analyze, critique, fantasize, and connect with their favorite teams and team members in real time. In this era of leagues, they are becoming true brand partners. It is crucial for clubs to understand and leverage this new relationship.
  • Season ticket holders contribute the largest share of any club's revenue, making them a top priority. However, clubs and ticket vendors face increasing competition from the at-home experience when it comes to attracting fans to the stadium. By analyzing data and using micro-segmentation, AI can help teams offer promotional coupons tailored to specific fans.
  • Moreover, modern fans are "Social Sports Fans," with social media sites empowering them more than ever before and granting them access to players, coaches, and owners. This has led fans to expect influence over team decisions. Globo TV of Brazil leveraged this interest by using social media and digital technology to boost fan engagement during the World Cup, with a mobile app developed in collaboration with IBM.
  • Furthermore, clubs that fail to respond to activist fan movements risk experiencing major setbacks to their ticket sales and brand equity. Conversely, fans can also drive higher levels of engagement with the team, resulting in increased ticket purchases and boosted revenues.
  • According to BoomSocial, as of July 2023, Mesut Ozil was the most followed Instagram account in the sports category in Turkey, reaching approximately 26.8 million followers. The Instagram accounts of Galatasaray and Fenerbahce sports clubs ranked second and third, with about 13 million and 8.9 million followers.

North America is Expected to Continue to be the Largest Market in the World

  • The North American region boasts one of the most vibrant domestic league systems worldwide, with significant social and economic investments in sports at both the university and League levels. The United States is a leading sporting country globally, with Stanford University reporting that the four major professional sports account for 0.1% of national economic activity.
  • Most American leagues and clubs receive sponsorship from corporations, and the region boasts the world's most skilled workforce, contributing to the growth of Artificial Intelligence (AI) in sports. AI is significantly impacting both pre-game and in-game strategy, influencing line-up decisions through computer analysis. Sporting performance can be improved by interpreting various measures, such as spin, speed, serve location, player posture, and motion.
  • Companies like Argo Ai and Ford are collaborating with NASCAR to enhance safety in the high-risk sport of Auto Racing. Deep learning is being used to improve safety measures, and the integration of AI in sports is expected to continue to grow.

Artificial Intelligence (AI) in Sports Industry Overview

The Artificial Intelligence Market in Sports is highly consolidated, with a few major players dominating the market share. However, the proliferation of technology in sports is expected to create new opportunities, attracting new players. Some recent developments in the market include:

  • October 2023 - IBM and ESPN have announced to use of AI models built with Watsonx to transform fantasy football data into insight the models are expected to produce more than 48 billion insights for fantasy managers this year, everything from recommending mutually beneficial trade opportunities to identifying waiver wire players that are best suited to meet a team's specific needs.
  • October 2022 - Veritone, a leader in AI, introduced Sport X, an intelligent marketplace that allows content creators and rights holders to license short-form sports content to third parties. Sport X automatically sends rights-cleared, indexed, and metadata-rich video to media buyers, enabling them to use it for editorial purposes, highlights, or digital content. This includes news, social media posts, and user-generated content.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Growing Demand for Real Time Data Analytics
    • 4.2.2 Demand for Predictive Insights To Enhance Fan Engagement
    • 4.2.3 Increasing Engagement of Fans in Sports
  • 4.3 Market Restraints
    • 4.3.1 High Initial Investments Required to Implement Complete Solutions
  • 4.4 Industry Value Chain Analysis
  • 4.5 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.5.1 Threat of New Entrants
    • 4.5.2 Bargaining Power of Buyers/Consumers
    • 4.5.3 Bargaining Power of Suppliers
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION

  • 5.1 By Application
    • 5.1.1 Player Analysis
    • 5.1.2 Fan Engagement
    • 5.1.3 Data Interpretation & Analysis
    • 5.1.4 Other Applications
  • 5.2 By Deployment
    • 5.2.1 On-Premises
    • 5.2.2 Cloud
  • 5.3 Geography
    • 5.3.1 North America
    • 5.3.2 Europe
    • 5.3.3 Asia Pacific
    • 5.3.4 Rest of The World

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 SAS Institute Inc.
    • 6.1.2 Opta Sports (Perform Group)
    • 6.1.3 Sportsradar AG
    • 6.1.4 Catapult Group International Ltd
    • 6.1.5 IBM Corporation
    • 6.1.6 SAP SE
    • 6.1.7 SAS Institute Inc.
    • 6.1.8 Trumedia Networks
    • 6.1.9 Salesforce.com Inc. (Tableau Software Inc.)

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS