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体育领域的人工智慧：市场占有率分析、产业趋势/统计、成长预测（2024-2029）

AI In Sports - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
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2024年的59.3亿美元成长到2029年的209.4亿美元，在预测期内（2024-2029年）复合年增长率将超过28.69%。

体育领域的人工智慧 - 市场

市场的成长是由体育运动，特别是发达体育运动中技术的日益使用所推动的。这些服务预计将用于大学和初级水平的各种体育运动，因为规模经济预计它们会更便宜。此外，随着技术的不断发展，其应用范围可望进一步扩大。

主要亮点

  • 各种体育组织产生的场内和场外资料量不断增加，产生了对资料管理和分析的需求。因此，体育产业中穿戴式装置的数量不断增加，以满足监控和追踪运动员资料不断增长的需求。这些设备产生有关运动员表现和健身变数（例如心率、速度和加速度）的详细资料。
  • 2023 年 11 月，拉夫堡大学和 Signify Group（利用人工智慧打击网路虐待和威胁的全球领导者之一）宣布建立合作伙伴关係，就体育运动中的网路虐待问题进行学术研究。 Signify 在该领域拥有良好的业绩记录，与国际足球、网球、板球、电子竞技、橄榄球、篮球和田径机构的领先组织合作，交付备受瞩目的计划。
  • 人工智慧用于分析资料并吸引粉丝。透过游戏内资料分析产生的即时见解可以帮助团队改变策略。体育市场中人工智慧领域的成长是由虚拟助理和聊天机器人与球迷沟通的需求以及对球员监控和资料追踪不断增长的需求所推动的。
  • 对即时资料分析不断增长的需求也推动了市场扩张。然而，它受到缺乏合格和有能力的人员以及安装和维护成本高昂的限制。儘管如此，对人工智慧产生未来预测的需求不断增长，预计将为预测期内的市场发展创造有利的机会。

体育趋势中的AI市场

增加球迷对体育的参与预计将推动市场

  • 如今，粉丝不只是消费者。他们希望积极参与、分析、批评、做白日梦，并与他们最喜欢的团队和团队成员即时联繫。在这个联盟时代，他们正在成为真正的品牌合作伙伴。对于俱乐部来说，了解并利用这种新关係非常重要。
  • 季票持有者在任何俱乐部的收益中所占比例最大，是重中之重。然而，在吸引球迷进入体育场方面，俱乐部和门票零售商面临着来自主场体验的日益激烈的竞争。透过分析资料和使用微细分，人工智慧可以帮助团队为特定粉丝量身定制促销优惠券。
  • 此外，现代球迷是“社交体育迷”，社交媒体网站比以往任何时候都赋予他们更多的权力，让他们有机会接触球员、教练和老闆。正因为如此，球迷开始期望对球队的决定有更大的影响力。巴西的 Globo TV 利用了这一兴趣，利用社交媒体和数位技术，使用与 IBM 合作开发的行动应用程式来提高世界杯期间球迷的参与度。
  • 此外，未能对积极的球迷运动做出反应的俱乐部可能会面临门票销售和品牌价值遭受重大挫折的风险。相反，球迷也可以提高与球队的互动度，从而增加门票购买量并增加收益。
  • 根据 BoomSocial 的数据，截至 2023 年 7 月，梅苏特·厄齐尔 (Mesut Ozil) 是土耳其体育类别中关注度最高的 Instagram 帐户，粉丝数量约为 2680 万。加拉塔萨雷和费内巴切体育俱乐部的 Instagram 帐户排名第二和第三，粉丝数量分别约为 1300 万和 890 万。

北美预计将继续成为全球最大市场

  • 北美地区拥有世界上最具活力的国家联赛体系之一，在大学和联盟层面对体育运动进行了大量的社会和经济投资。美国是世界领先的体育国家之一，根据史丹佛大学的报告，四大职业运动占国民经济活动的0.1%。
  • 美国的大多数联赛和俱乐部都是由企业赞助的，该地区拥有世界上最熟练的劳动力之一，为体育领域人工智慧 (AI) 的发展做出了贡献。人工智慧对赛前和比赛中的策略产生巨大影响，透过电脑分析影响阵容决策。透过解释旋转、速度、发球位置、球员姿势和动作等各种指标，可以提高运动表现。
  • Argo Ai 和福特等公司正在与 NASCAR 合作，以提高赛车这项高风险运动的安全性。深度学习被用来改善安全措施，人工智慧在运动中的应用预计将继续扩大。

体育领域AI产业概况

体育人工智慧市场高度整合，少数大型企业占市场占有率。然而，体育技术的普及预计将创造新的机会并吸引新的参与者。市场的最新发展包括：

  • 2023 年 10 月 - IBM 和 ESPN 宣布他们将使用基于 Watsonx 构建的 AI 模型将 Fantasy Football资料转化为见解。该模型预计今年将为梦幻经理人提供超过 480 亿条见解，从推荐互惠互利的交易机会到确定豁免。满足球队特定需求的完美线路。球员。
  • 2022 年 10 月 - 人工智慧领域的领导者 Veritone 推出了 Sport X，这是一个智慧市场，允许内容创作者和权利持有者向第三方授权短片体育内容。 Sport X 会自动向媒体购买者发送经过版权许可、索引、元资料丰富的视频，以便他们可以将其用于编辑目的、精彩集锦或数位内容。这包括新闻、社交媒体贴文和用户生成的内容。

其他福利

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

目录

第一章简介

  • 调查先决条件
  • 调查范围

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
    • 对即时资料分析的需求不断增长
    • 需要预测性见解来提高粉丝参与度
    • 增加球迷对运动的参与
  • 市场限制因素
    • 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
    • 买家/消费者的议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争公司之间敌对关係的强度

第五章市场区隔

  • 按用途
    • 球员分析
    • 粉丝参与
    • 资料解读与分析
    • 其他应用
  • 按配置
    • 本地
    • 云
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 世界其他地区

第六章 竞争形势

  • 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 市场机会及未来趋势

简介目录
Product Code: 67002

The AI Market In Sports Industry is expected to grow from USD 5.93 billion in 2024 to USD 20.94 billion by 2029, at a CAGR of greater than 28.69% during the forecast period (2024-2029).

AI In Sports - Market

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.

AI Market in Sports 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.

AI Industry in Sports 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