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市场调查报告书
商品编码
1698260

人工智慧在运动市场的机会、成长动力、产业趋势分析及2025-2034年预测

AI in Sports Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025-2034
出版日期: | 出版商: Global Market Insights Inc. | 英文 170 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2024 年全球体育人工智慧市场价值为 12 亿美元，预计 2025 年至 2034 年的复合年增长率将达到 14.7%。这一市场成长的动力来自于体育领域对人工智慧系统进行数据驱动决策的日益依赖。球队和运动员正在采用人工智慧技术来分析球员的动作、生物力学和策略，以改善训练习惯和表现。人工智慧解决方案还可以透过追踪球员的疲劳程度和工作量来帮助降低受伤风险。这些进步使体育组织能够做出更明智的决策并提高整体成果。

体育市场中的人工智慧 - IMG1

人工智慧也透过个人化观看体验来增强粉丝的参与度。体育媒体平台正在利用人工智慧提供客製化内容，例如自动精彩集锦、即时更新和互动功能。借助人工智慧分析观众偏好的能力，广播公司可以提供客製化内容，提高粉丝的参与度和满意度。此外，人工智慧技术正在透过预测和预防伤害来改变运动医学。穿戴式装置追踪运动员的动作和运动量，而机器学习演算法则分析历史受伤资料以製定个人化的恢復计划，从而降低再次受伤的风险并缩短恢復时间。

市场范围
起始年份 2024
预测年份 2025-2034
起始值 12亿美元
预测值 47亿美元
复合年增长率 14.7％

人工智慧软体解决方案在市场中发挥关键作用。它们广泛用于性能分析、伤害预测和对手侦察。机器学习模型处理大量的比赛资料，使教练和球队能够根据统计数据做出明智的决定。人工智慧软体平台还提供具有成本效益的解决方案，因为它们需要更少的硬体组件（如感测器或穿戴式装置）。基于云端的人工智慧服务尤其受欢迎，它以较低的营运成本提供可扩展性、易于整合和持续更新。

机器学习是人工智慧体育市场的主导技术，占有相当大的份额。透过处理来自各种来源的资料，包括影片片段和穿戴式感测器，人工智慧帮助球队优化策略并加强球员健康监测。这些技术使体育组织能够客製化训练和恢復计划，最终提高表现并降低受伤风险。

团队运动领域是最大的细分市场，占据体育人工智慧市场的一半以上。人工智慧技术对于团队运动的战术分析、即时决策和运动员表现的提升至关重要。随着对基于人工智慧的参与工具的需求不断增长，体育组织正在利用这些解决方案来提高球迷忠诚度、加强行销并最大限度地提高媒体和广播权的收入。

在北美，尤其是美国，体育领域的人工智慧正在获得显着发展，各大科技公司正在推动塑造体育分析和媒体未来的创新。美国在采用人工智慧解决方案方面处于领先地位，大型运动联盟正在探索利用人工智慧来改善比赛策略、球员健康和球迷参与。

目录

第一章：方法论与范围

  • 研究设计
    • 研究方法
    • 资料收集方法
  • 基础估算与计算
    • 基准年计算
    • 市场评估的主要趋势
  • 预测模型
  • 初步研究和验证
    • 主要来源
    • 资料探勘来源
  • 市场范围和定义

第二章：执行摘要

第三章：行业洞察

  • 产业生态系统分析
    • 供应商格局
      • 技术提供者
      • 体育组织和球队
      • 体育广播公司和媒体公司
      • 赞助商和行销分析公司
      • 最终用途
    • 利润率分析
  • 技术与创新格局
  • 专利分析
  • 监管格局
  • 用例
  • 衝击力
    • 成长动力
      • 对錶现分析和玩家追踪的需求不断增长
      • 人工智慧在粉丝参与和个人化体验中的应用日益增多
      • 人工智慧在伤害预防和復健的应用
      • 人工智慧在裁判中的作用日益增强
      • 人工智慧预测分析在体育策略中的扩展
    • 产业陷阱与挑战
      • 资料隐私和安全问题
      • 实施和维护成本高
  • 成长潜力分析
  • 波特的分析
  • PESTEL 分析

第四章：竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第五章：市场估计与预测：按解决方案，2021 - 2034 年

  • 主要趋势
  • 软体
    • 性能分析
    • 玩家监控
    • 比赛策略与指导
    • 广播管理
    • 其他的
  • 服务
    • 专业服务
      • 培训与咨询
      • 系统整合与实施
      • 支援与维护
    • 託管服务

第六章：市场估计与预测：依技术分类，2021 - 2034 年

  • 主要趋势
  • 机器学习
  • 自然语言处理
  • 电脑视觉
  • 预测分析

第七章：市场估计与预测：依运动类别，2021 - 2034 年

  • 主要趋势
  • 个人运动
  • 团队运动
  • 电竞

第八章：市场估计与预测：依最终用途，2021 - 2034 年

  • 主要趋势
  • 体育协会
  • 运动团队
  • 体育媒体与广播
  • 其他的

第九章：市场估计与预测：按地区，2021 - 2034 年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 北欧人
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 东南亚
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中东及非洲
    • 阿联酋
    • 南非
    • 沙乌地阿拉伯

第十章：公司简介

  • AWS
  • Catapult
  • Cisco
  • Hawk-eye Innovations
  • HCL
  • IBM
  • Intel
  • Kinexon
  • Microsoft
  • NVIDIA
  • Oracle
  • Pixellot
  • Salesforce
  • SAP
  • SAS
  • Second spectrum
  • ShotTracker
  • Sportradar
  • Stats Serform
  • Zebra Technologies
简介目录
Product Code: 13180

The Global AI In Sports Market was valued at USD 1.2 billion in 2024 and is projected to grow at a CAGR of 14.7% from 2025 to 2034. This market growth is driven by the increasing reliance on AI-powered systems for data-driven decisions in sports. Teams and athletes are adopting AI technologies to analyze player movements, biomechanics, and strategies, improving training routines and performance. AI solutions also help reduce injury risks by tracking player fatigue and workload. These advancements enable sports organizations to make smarter decisions and enhance overall outcomes.

AI in Sports Market - IMG1

AI is also enhancing fan engagement by personalizing the viewing experience. Sports media platforms are leveraging AI to offer customized content, such as automated highlights, real-time updates, and interactive features. With AI's ability to analyze viewer preferences, broadcasters can deliver tailored content, improving fan involvement and satisfaction. Additionally, AI technology is transforming sports medicine by predicting and preventing injuries. Wearable devices track athletes' movements and workloads, while machine learning algorithms analyze historical injury data to create personalized recovery plans, reducing the risk of re-injury and shortening recovery times.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$1.2 Billion
Forecast Value$4.7 Billion
CAGR14.7%

AI-powered software solutions play a critical role in the market. They are widely used for performance analysis, injury prediction, and opponent scouting. Machine learning models process vast amounts of game data, enabling coaches and teams to make informed decisions based on statistical insights. AI software platforms also deliver cost-effective solutions, as they require fewer hardware components like sensors or wearables. Cloud-based AI services are particularly popular, offering scalability, easy integration, and continuous updates at a lower operational cost.

The machine learning segment is the dominant technology in the AI sports market, representing a significant share. By processing data from various sources, including video footage and wearable sensors, AI helps teams optimize their strategies and enhance player health monitoring. These technologies enable sports organizations to tailor training and recovery programs, ultimately improving performance and reducing injury risks.

The team sports sector is the largest market segment, accounting for over half of the AI in sports market share. AI technologies are critical in team sports for tactical analysis, real-time decision-making, and player performance enhancement. With a growing demand for AI-based engagement tools, sports organizations are leveraging these solutions to improve fan loyalty, enhance marketing efforts, and maximize revenue from media and broadcasting rights.

In North America, particularly in the U.S., AI in sports is gaining significant traction, with major tech companies driving innovations that shape the future of sports analytics and media. The U.S. leads in adopting AI-powered solutions, with large sports leagues exploring AI to improve game strategies, player health, and fan engagement.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Research design
    • 1.1.1 Research approach
    • 1.1.2 Data collection methods
  • 1.2 Base estimates & calculations
    • 1.2.1 Base year calculation
    • 1.2.2 Key trends for market estimation
  • 1.3 Forecast model
  • 1.4 Primary research and validation
    • 1.4.1 Primary sources
    • 1.4.2 Data mining sources
  • 1.5 Market scope & definition

Chapter 2 Executive Summary

  • 2.1 Industry 3600 synopsis, 2021 - 2034

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Supplier landscape
      • 3.1.1.1 Technology providers
      • 3.1.1.2 Sports organizations & teams
      • 3.1.1.3 Sports broadcasters & media companies
      • 3.1.1.4 Sponsors & marketing analytics firms
      • 3.1.1.5 End use
    • 3.1.2 Profit margin analysis
  • 3.2 Technology & innovation landscape
  • 3.3 Patent analysis
  • 3.4 Regulatory landscape
  • 3.5 Use cases
  • 3.6 Impact forces
    • 3.6.1 Growth drivers
      • 3.6.1.1 Growing demand for performance analytics and player tracking
      • 3.6.1.2 Rising adoption of AI in fan engagement & personalized experiences
      • 3.6.1.3 Integration of AI in injury prevention & rehabilitation
      • 3.6.1.4 Increasing role of AI in officiating & refereeing
      • 3.6.1.5 Expansion of AI-powered predictive analytics in sports strategy
    • 3.6.2 Industry pitfalls & challenges
      • 3.6.2.1 Data privacy & security concerns
      • 3.6.2.2 High implementation & maintenance costs
  • 3.7 Growth potential analysis
  • 3.8 Porter's analysis
  • 3.9 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Solution, 2021 - 2034 ($Bn)

  • 5.1 Key trends
  • 5.2 Software
    • 5.2.1 Performance analytics
    • 5.2.2 Player monitoring
    • 5.2.3 Game strategy & coaching
    • 5.2.4 Broadcast management
    • 5.2.5 Others
  • 5.3 Services
    • 5.3.1 Professional services
      • 5.3.1.1 Training & consulting
      • 5.3.1.2 System integration & implementation
      • 5.3.1.3 Support & maintenance
    • 5.3.2 Managed services

Chapter 6 Market Estimates & Forecast, By Technology, 2021 - 2034 ($Bn)

  • 6.1 Key trends
  • 6.2 Machine learning
  • 6.3 NLP
  • 6.4 Computer vision
  • 6.5 Predictive analytics

Chapter 7 Market Estimates & Forecast, By Sports, 2021 - 2034 ($Bn)

  • 7.1 Key trends
  • 7.2 Individual sports
  • 7.3 Team sports
  • 7.4 E sports

Chapter 8 Market Estimates & Forecast, By End Use, 2021 - 2034 ($Bn)

  • 8.1 Key trends
  • 8.2 Sports association
  • 8.3 Sports team
  • 8.4 Sports media & broadcasting
  • 8.5 Others

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn)

  • 9.1 Key trends
  • 9.2 North America
    • 9.2.1 U.S.
    • 9.2.2 Canada
  • 9.3 Europe
    • 9.3.1 UK
    • 9.3.2 Germany
    • 9.3.3 France
    • 9.3.4 Italy
    • 9.3.5 Spain
    • 9.3.6 Russia
    • 9.3.7 Nordics
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 India
    • 9.4.3 Japan
    • 9.4.4 Australia
    • 9.4.5 South Korea
    • 9.4.6 Southeast Asia
  • 9.5 Latin America
    • 9.5.1 Brazil
    • 9.5.2 Mexico
    • 9.5.3 Argentina
  • 9.6 MEA
    • 9.6.1 UAE
    • 9.6.2 South Africa
    • 9.6.3 Saudi Arabia

Chapter 10 Company Profiles

  • 10.1 AWS
  • 10.2 Catapult
  • 10.3 Cisco
  • 10.4 Hawk-eye Innovations
  • 10.5 HCL
  • 10.6 IBM
  • 10.7 Intel
  • 10.8 Kinexon
  • 10.9 Microsoft
  • 10.10 NVIDIA
  • 10.11 Oracle
  • 10.12 Pixellot
  • 10.13 Salesforce
  • 10.14 SAP
  • 10.15 SAS
  • 10.16 Second spectrum
  • 10.17 ShotTracker
  • 10.18 Sportradar
  • 10.19 Stats Serform
  • 10.20 Zebra Technologies