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市場調查報告書
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1642159

體育人工智慧 -市場佔有率分析、行業趨勢和統計、成長預測（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個工作天內

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簡介目錄

體育市場中的人工智慧預計將從 2025 年的 76.3 億美元成長到 2030 年的 269.4 億美元，預測期內（2025-2030 年）的複合年成長率超過 28.69%。

體育市場中的人工智慧-IMG1

市場發展的驅動力是科技在運動，尤其是已開發體育運動的應用日益增加。此外，隨著規模經濟導致成本下降，預計該系統將在大學和青少年級別的各種體育項目中使用。此外，隨著技術逐年發展，其應用範圍預計還會擴大。

關鍵亮點

  • 各體育組織產生的場內和場外資料量正在增加，推動了對資料進行管理和分析的需求。因此，體育產業中穿戴式設備的數量正在增加，以滿足對監測和追蹤運動員資料日益成長的需求。這些設備會產生有關運動員的表現和健身變數的詳細資料，包括心率、速度和加速度。
  • 2023年11月，拉夫堡大學與全球領先的人工智慧打擊網路詐欺和威脅的領導者之一 Signify Group 宣布就體育領域的網路詐欺進行學術研究展開合作。 Signify 在該領域擁有良好的業績記錄，與國際領先的足球、網球、板球、電子競技、橄欖球、籃球和田徑組織合作開展過備受矚目的計劃。
  • 人工智慧將用於分析資料並吸引粉絲。比賽期間透過資料分析獲得的即時見解可以幫助球隊修改策略。全球體育人工智慧市場的成長是由透過虛擬助理和聊天機器人與球迷溝通的願望，以及對球員監控和追蹤資料日益成長的需求所驅動。
  • 此外，對即時資料分析的不斷成長的需求也刺激了市場擴張。但由於缺乏合格且有能力的人力，以及高昂的安裝和維護成本，它受到限制。儘管如此，對人工智慧進行未來預測的需求不斷增加，預計將在預測期內為市場發展創造有利可圖的機會。

體育領域人工智慧 (AI) 的市場趨勢

球迷對運動的參與度不斷提高有望推動市場發展

  • 如今，粉絲已不再只是消費者。他們積極參與、分析、批評、幻想，並與自己喜歡的球隊和隊員即時聯繫。他們正在成為這個聯盟時代真正的品牌合作夥伴。俱樂部理解並利用這種新的關係非常重要。
  • 季票持有者佔俱樂部收益的最大佔有率，因此是我們的首要任務。但俱樂部和票務供應商擴大透過主場體驗來吸引球迷到體育場館。透過分析資料並使用微細分，AI 可以提供針對特定粉絲的促銷和優惠券。
  • 此外，如今的球迷是“社交體育球迷”，社交媒體網站賦予他們比以往更大的權力以及接觸球員、教練和老闆的機會。因此，球迷們開始期待對球隊決策產生一定的影響。巴西的環球電視台 (Globo TV) 利用這種興趣，利用社交媒體和數位技術，透過與 IBM 合作開發的一款行動應用程式來增加世界盃期間球迷的參與度。
  • 此外，無法利用積極的球迷活動來賺錢的俱樂部可能會在門票銷售和品牌股權方面遭受重大挫折。相反，更多球迷對球隊的參與度可以帶來更多的門票購買量和更多的收益。
  • 據 BoomSocial 稱，截至 2023 年 7 月，土耳其體育類別中關注度最高的 Instagram 帳戶是梅蘇特·厄齊爾 (Mesut Ozil)，擁有約 2680 萬粉絲。排名第二的是加拉塔薩雷和費內巴切體育俱樂部的 Instagram 帳戶，分別擁有約 1300 萬和 890 萬粉絲。

預計北美仍將是全球最大市場

  • 北美地區擁有世界上最具活力的國內聯盟體系之一，在大學和聯盟層面對體育運動進行了大量社會和經濟投資。美國即使放在全球來看也是一個體育發達的國家，根據史丹佛大學的報告，四大職業運動占到了美國經濟活動的0.1%。
  • 大多數美國聯盟和俱樂部都有企業贊助，該地區擁有世界上最熟練的勞動力之一，為體育界人工智慧（AI）的發展做出了貢獻。人工智慧對賽前和賽中策略都產生了重大影響，電腦分析會影響陣容決策。透過解釋各種指標，包括旋轉、速度、發球位置、球員姿勢和動作，可以提高運動表現。
  • Argo Ai 和福特等公司正在與 NASCAR 合作，以提高高風險賽車運動的安全性。深度學習正在被用於改善安全措施，人工智慧在運動中的融合預計將繼續擴大。

人工智慧在體育產業概述

體育人工智慧市場集中度較高，少數主要企業佔市場佔有率。然而，科技在體育領域的傳播有望創造新的機會並吸引新的參與企業。我們將介紹一些最近的市場發展趨勢。

  • 2023 年 10 月——IBM 和 ESPN 宣布他們將使用 Watsonx 構建的 AI 模型將夢幻足球資料轉化為見解。預計該模型今年將為幻想經理提供超過 480 億條見解，從推薦互惠互利的交易機會到確定豁免名單上的最佳球員以滿足球隊的特定需求。
  • 2022 年 10 月 - 人工智慧領導者 Veritone 推出 Sport X，這是一個智慧市場，內容創作者和版權持有者可以向第三方授權短篇體育內容。 Sport X 會自動將已獲版權許可、已編入索引、元資料豐富的影片發送給媒體購買者，媒體購買者可以將其用於編輯目的、精彩片段和數位內容。這包括新聞、社群媒體貼文、用戶生成內容等。

其他福利

  • Excel 格式的市場預測 (ME) 表
  • 3 個月的分析師支持

目錄

第 1 章 簡介

  • 調查前提條件
  • 研究範圍

第2章調查方法

第3章執行摘要

第4章 市場動態

  • 市場概況
  • 市場促進因素
    • 即時資料分析需求日益成長
    • 需要預測性見解來提高粉絲參與度
    • 球迷對運動的參與度提高
  • 市場限制
    • 實施完整解決方案的初始投資較高
  • 產業價值鏈分析
  • 產業吸引力-波特五力分析
    • 新進入者的威脅
    • 購買者/消費者的議價能力
    • 供應商的議價能力
    • 替代品的威脅
    • 競爭對手之間的競爭強度

第5章 市場區隔

  • 按應用
    • 參與企業分析
    • 粉絲參與
    • 資料解釋與分析
    • 其他
  • 按部署
    • 本地
    • 雲
  • 按地區
    • 北美洲
    • 歐洲
    • 亞太地區
    • 其他

第6章 競爭格局

  • 公司簡介
    • 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7章投資分析

第8章 市場機會與未來趨勢

簡介目錄
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