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市场调查报告书
商品编码
1570951

体育分析市场、机会、成长动力、产业趋势分析与预测,2024-2032

Sports Analytics Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 280 Pages | 商品交期: 2-3个工作天内

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简介目录

2023 年,全球体育分析市场价值为 41.4 亿美元,2024 年至 2032 年复合年增长率将达到 30.1%。透过利用分析,体育组织可以提供个人化内容,包括客製化影片和详细统计数据,从而提高粉丝互动和忠诚度。此外,还利用行动应用程式和社交媒体等平台来监控粉丝的偏好和行为,使团队能够更有效地吸引受众并推动市场成长。

体育分析产业根据组件、部署模式、运动类型、应用程式、最终用户和地区进行细分。

由于解决方案领域在推动绩效洞察和提高粉丝参与度方面发挥关键作用,因此到 2023 年该领域将占据 56% 的份额。包含先进资料分析工具和平台的解决方案使体育组织能够利用即时资料进行策略决策。这些工具促进个人化粉丝体验,例如客製化内容和互动功能,从而提高参与度和忠诚度。这些解决方案在各个运动联盟和球队中越来越多地采用,凸显了它们的重要性,使它们能够在未来几年占据可观的市场份额。

由于其快速成长和日益普及,到 2032 年,电子竞技领域的价值将达到 140 亿美元。随着电子竞技比赛和观众的扩大,对高级分析的需求不断增加,以提高玩家的表现和粉丝的参与。对玩家统计数据、游戏策略和观众偏好的数据驱动洞察对于优化团队绩效和提供客製化内容至关重要。对电子竞技的投资不断增加,以及对资料分析以获得竞争优势的日益重视,将巩固该领域的领先市场地位。

受其成熟的体育基础设施和先进技术的高度采用的推动,北美体育分析市场到 2023 年将占据 35% 的份额。该地区拥有众多主要运动联盟和特许经营权,它们大力投资资料分析,以提高表现和球迷参与度。此外,领先技术公司和创新分析解决方案的存在进一步推动了市场成长。北美非常重视将分析整合到体育管理和策略中,这使其成为体育分析行业的重要贡献者。

目录

第 1 章:范围与方法

  • 市场范围和定义
  • 基本估计和计算
  • 预测参数
  • 数据来源
    • 基本的
    • 中学
      • 付费来源
      • 公共来源

第 2 章:执行摘要

第 3 章:产业洞察

  • 产业生态系统分析
  • 供应商矩阵
  • 技术和创新格局
  • 专利分析
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 透过数据驱动的见解优化效能
      • 增强粉丝参与度
      • 营收优化
      • 增加赞助和广告
      • 伤害预防和管理
    • 产业陷阱与挑战
      • 资料隐私和安全
      • 实施成本高
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第 4 章:竞争格局

  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第 5 章:市场估计与预测:按组成部分,2021-2032 年

  • 主要趋势
  • 解决方案
  • 服务

第 6 章:市场估计与预测:按部署模式,2021-2032 年

  • 主要趋势
  • 基于云端
  • 本地

第 7 章:市场估计与预测:按运动类型,2021-2032

  • 主要趋势
  • 团队运动
    • 足球(英式足球)
    • 篮球
    • 棒球
    • 橄榄球
    • 曲棍球
    • 蟋蟀
    • 其他的
  • 个人运动
    • 网球
    • 高尔夫球
    • 竞技
    • 拳击
    • 其他的
  • 电竞

第 8 章:市场估计与预测:按应用划分,2021-2032 年

  • 主要趋势
  • 球员和球队表现分析
  • 健康评估和伤害预防
  • 粉丝参与度
  • 广播和媒体
  • 业务营运

第 9 章:市场估计与预测:按最终用户划分,2021-2032 年

  • 主要趋势
  • 运动队伍和俱乐部
  • 体育协会和联合会
  • 教练和培训师
  • 体育分析师和顾问
  • 媒体和娱乐
  • 体育博彩
  • 其他的

第 10 章:市场估计与预测:按地区划分,2021-2032 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
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳新银行
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地区
  • MEA
    • 阿联酋
    • 沙乌地阿拉伯
    • 南非
    • MEA 的其余部分

第 11 章:公司简介

  • Agile Sports Analytics LLC
  • Catapult Group International Ltd.
  • ChyronHego Corporation
  • Dataart
  • Exasol
  • EXL
  • Experfy, Inc.
  • Global Step
  • HCL Technologies
  • International Business Machine (IBM) Corporation
  • Kitman Labs
  • Microsoft
  • Oracle Corporation
  • Orreco
  • Salesforce
  • SAP SE
  • SAS Institute Inc.
  • Sportlogiq
  • Sportradar
  • Stats Perform
  • Trumedia Networks
  • Zebra Technologies
简介目录
Product Code: 10756

The Global Sports Analytics Market was valued at USD 4.14 billion in 2023 and will grow at a 30.1% CAGR from 2024 to 2032. Data analytics has become essential for enhancing fan engagement within the sports industry. By utilizing analytics, sports organizations can provide personalized content, including customized videos and detailed statistics, which boosts fan interaction and loyalty. Besides, platforms such as mobile apps and social media are leveraged to monitor fan preferences and behaviors, enabling teams to engage their audience more effectively and drive market growth.

The sports analytics industry is fragmented based on component, deployment mode, sports type, application, end-user, and region.

The solution segment held a 56% share in 2023 due to its pivotal role in driving performance insights and enhancing fan engagement. Solutions encompassing advanced data analytics tools and platforms enable sports organizations to leverage real-time data for strategic decision-making. These tools facilitate personalized fan experiences, such as customized content and interactive features, which boost engagement and loyalty. The growing adoption of these solutions across various sports leagues and teams highlights their critical importance, positioning them to capture a decent market share in the coming years.

The e-sports segment will exhibit USD 14 billion by 2032, owing to its rapid growth and increasing popularity. As e-sports competitions and audiences expand, there is a heightened demand for advanced analytics to enhance player performance and fan engagement. Data-driven insights into player statistics, game strategies, and viewer preferences are crucial for optimizing team performance and delivering tailored content. The rising investment in e-sports and the growing emphasis on data analytics for competitive advantage will solidify this segment's leading market position.

North America sports analytics market secured a 35% share in 2023, spurred by its established sports infrastructure and high adoption of advanced technologies. The region boasts numerous major sports leagues and franchises that heavily invest in data analytics to enhance performance and fan engagement. Additionally, the presence of leading technology firms and innovative analytics solutions further drives market growth. North America's strong emphasis on integrating analytics into sports management and strategy makes it a significant contributor to the sports analytics industry.

Table of Contents

Chapter 1 Scope and Methodology

  • 1.1 Market scope and definition
  • 1.2 Base estimates and calculations
  • 1.3 Forecast parameters
  • 1.4 Data sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021-2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Vendor matrix
  • 3.3 Technology and innovation landscape
  • 3.4 Patent analysis
  • 3.5 Key news and initiatives
  • 3.6 Regulatory landscape
  • 3.7 Impact forces
    • 3.7.1 Growth drivers
      • 3.7.1.1 Performance optimization through data-driven insights
      • 3.7.1.2 Enhanced fan engagement
      • 3.7.1.3 Revenue optimization
      • 3.7.1.4 Increased sponsorship and advertising
      • 3.7.1.5 Injury prevention and management
    • 3.7.2 Industry pitfalls and challenges
      • 3.7.2.1 Data privacy and security
      • 3.7.2.2 High cost of implementation
  • 3.8 Growth potential analysis
  • 3.9 Porter's analysis
    • 3.9.1 Supplier power
    • 3.9.2 Buyer power
    • 3.9.3 Threat of new entrants
    • 3.9.4 Threat of substitutes
    • 3.9.5 Industry rivalry
  • 3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

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

Chapter 5 Market Estimates and Forecast, By Component, 2021-2032 (USD Million)

  • 5.1 Key trends
  • 5.2 Solutions
  • 5.3 Services

Chapter 6 Market Estimates and Forecast, By Deployment Mode, 2021-2032 (USD Million)

  • 6.1 Key trends
  • 6.2 Cloud-based
  • 6.3 On-premises

Chapter 7 Market Estimates and Forecast, By Sports Type, 2021-2032 (USD Million)

  • 7.1 Key trends
  • 7.2 Team sports
    • 7.2.1 Football (Soccer)
    • 7.2.2 Basketball
    • 7.2.3 Baseball
    • 7.2.4 Rugby
    • 7.2.5 Hockey
    • 7.2.6 Cricket
    • 7.2.7 Others
  • 7.3 Individual sports
    • 7.3.1 Tennis
    • 7.3.2 Golf
    • 7.3.3 Athletics
    • 7.3.4 Boxing
    • 7.3.5 Others
  • 7.4 E-Sports

Chapter 8 Market Estimates and Forecast, By Application, 2021-2032 (USD Million)

  • 8.1 Key trends
  • 8.2 Player and team performance analysis
  • 8.3 Health assessment and injury prevention
  • 8.4 Fan engagement
  • 8.5 Broadcasting and media
  • 8.6 Business operations

Chapter 9 Market Estimates and Forecast, By End User, 2021-2032 (USD Million)

  • 9.1 Key trends
  • 9.2 Sports team and clubs
  • 9.3 Sports associations and federations
  • 9.4 Coaches and trainers
  • 9.5 Sports analysts and consultants
  • 9.6 Media and entertainment
  • 9.7 Sports betting
  • 9.8 Others

Chapter 10 Market Estimates and Forecast, By Region, 2021-2032 (USD Million)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 UK
    • 10.3.2 Germany
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 South Korea
    • 10.4.5 ANZ
    • 10.4.6 Rest of Asia Pacific
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Rest of Latin America
  • 10.6 MEA
    • 10.6.1 UAE
    • 10.6.2 Saudi Arabia
    • 10.6.3 South Africa
    • 10.6.4 Rest of MEA

Chapter 11 Company Profiles

  • 11.1 Agile Sports Analytics LLC
  • 11.2 Catapult Group International Ltd.
  • 11.3 ChyronHego Corporation
  • 11.4 Dataart
  • 11.5 Exasol
  • 11.6 EXL
  • 11.7 Experfy, Inc.
  • 11.8 Global Step
  • 11.9 HCL Technologies
  • 11.10 International Business Machine (IBM) Corporation
  • 11.11 Kitman Labs
  • 11.12 Microsoft
  • 11.13 Oracle Corporation
  • 11.14 Orreco
  • 11.15 Salesforce
  • 11.16 SAP SE
  • 11.17 SAS Institute Inc.
  • 11.18 Sportlogiq
  • 11.19 Sportradar
  • 11.20 Stats Perform
  • 11.21 Trumedia Networks
  • 11.22 Zebra Technologies