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市場調查報告書
商品編碼
1433901

體育領域的人工智慧:市場佔有率分析、產業趨勢/統計、成長預測(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2024年的59.3億美元成長到2029年的209.4億美元,在預測期內(2024-2029年)年複合成長率將超過28.69%。

體育領域的人工智慧 - 市場

市場的成長是由體育運動,特別是發達體育運動中技術的日益使用所推動的。這些服務預計將用於大學和初級水平的各種體育運動,因為規模經濟預計它們會更便宜。此外,隨著技術的不斷發展,其應用範圍可望進一步擴大。

主要亮點

  • 各種體育組織產生的場內和場外資料量不斷增加,產生了對資料管理和分析的需求。因此,體育產業中穿戴式裝置的數量不斷增加,以滿足監控和追蹤運動員資料不斷成長的需求。這些設備產生有關運動員表現和健身變數(例如心率、速度和加速度)的詳細資料。
  • 2023 年 11 月,拉夫堡大學和 Signify Group(利用人工智慧打擊網路虐待和威脅的全球領導者之一)宣佈建立合作夥伴關係,就體育運動中的網路虐待問題進行學術研究。 Signify 在該領域擁有良好的業績記錄,與國際足球、網球、板球、電子競技、橄欖球、籃球和田徑機構的領先組織合作,交付備受矚目的計劃。
  • 人工智慧用於分析資料並吸引粉絲。透過遊戲內資料分析產生的即時見解可以幫助團隊改變策略。體育市場中人工智慧領域的成長是由虛擬助理和聊天機器人與球迷溝通的需求以及對球員監控和資料追蹤不斷成長的需求所推動的。
  • 對即時資料分析不斷成長的需求也推動了市場擴張。然而,它受到缺乏合格和有能力的人員以及安裝和維護成本高昂的限制。儘管如此,對人工智慧產生未來預測的需求不斷成長,預計將為預測期內的市場發展創造有利的機會。

體育趨勢中的AI市場

增加球迷對體育的參與預計將推動市場

  • 如今,粉絲不只是消費者。他們希望積極參與、分析、批評、做白日夢,並與他們最喜歡的團隊和團隊成員即時聯繫。在這個聯盟時代,他們正在成為真正的品牌合作夥伴。對於俱樂部來說,了解並利用這種新關係非常重要。
  • 季票持有者在任何俱樂部的收益中所佔比例最大,是重中之重。然而,在吸引球迷進入體育場方面,俱樂部和門票零售商面臨著來自主場體驗的日益激烈的競爭。透過分析資料和使用微區隔,人工智慧可以幫助團隊為特定粉絲量身定做促銷優惠券。
  • 此外,現代球迷是“社交體育迷”,社交媒體網站比以往任何時候都賦予他們更多的權力,讓他們有機會接觸球員、教練和老闆。正因為如此,球迷開始期望對球隊的決定有更大的影響力。巴西的 Globo TV 利用了這一興趣,利用社交媒體和數位技術,使用與 IBM 合作開發的行動應用程式來提高世界盃期間球迷的參與度。
  • 此外,未能對積極的球迷運動做出反應的俱樂部可能會面臨門票銷售和品牌價值遭受重大挫折的風險。相反,球迷也可以提高與球隊的互動度,從而增加門票購買量並增加收益。
  • 根據 BoomSocial 的數據,截至 2023 年 7 月,梅蘇特·厄齊爾 (Mesut Ozil) 是土耳其體育類別中關注度最高的 Instagram 帳戶,粉絲數量約為 2680 萬。加拉塔薩雷和費內巴切體育俱樂部的 Instagram 帳戶排名第二和第三,粉絲數量分別約為 1300 萬和 890 萬。

北美預計將繼續成為全球最大市場

  • 北美地區擁有世界上最具活力的國家聯賽體系之一,在大學和聯盟層面對體育運動進行了大量的社會和經濟投資。美國是世界領先的體育國家之一,根據史丹佛大學的報告,四大職業運動佔國民經濟活動的0.1%。
  • 美國的大多數聯賽和俱樂部都是由企業贊助的,該地區擁有世界上最熟練的勞動力之一,為體育領域人工智慧 (AI) 的發展做出了貢獻。人工智慧對賽前和比賽中的策略產生巨大影響,透過電腦分析影響陣容決策。透過解釋旋轉、速度、發球位置、球員姿勢和動作等各種指標,可以提高運動表現。
  • Argo Ai 和福特等公司正在與 NASCAR 合作,以提高賽車這項高風險運動的安全性。深度學習被用來改善安全措施,人工智慧在運動中的應用預計將繼續擴大。

體育領域AI產業概況

體育人工智慧市場高度整合,少數大型企業佔市場佔有率。然而,體育技術的普及預計將創造新的機會並吸引新的參與者。市場的最新發展包括:

  • 2023 年 10 月 - IBM 和 ESPN 宣布他們將使用基於 Watsonx 構建的 AI 模型將 Fantasy Football資料轉化為見解。該模型預計今年將為夢幻經理人提供超過 480 億條見解,從推薦互惠互利的交易機會到確定豁免。滿足球隊特定需求的完美線路。球員。
  • 2022 年 10 月 - 人工智慧領域的領導者 Veritone 推出了 Sport X,這是一個智慧市場,允許內容創作者和權利持有者向第三方授權短片體育內容。 Sport X 會自動向媒體購買者發送經過版權許可、索引、元資料豐富的影片,以便他們可以將其用於編輯目的、精彩集錦或數位內容。這包括新聞、社交媒體貼文和用戶生成的內容。

其他福利

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

目錄

第1章簡介

  • 調查先決條件
  • 調查範圍

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
    • 對即時資料分析的需求不斷成長
    • 需要預測性見解來提高粉絲參與度
    • 增加球迷對運動的參與
  • 市場限制因素
    • 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
    • 買家/消費者的議價能力
    • 供應商的議價能力
    • 替代品的威脅
    • 競爭公司之間敵對關係的強度

第5章市場區隔

  • 依用途
    • 球員分析
    • 粉絲參與
    • 資料解讀與分析
    • 其他應用
  • 依配置
    • 本地
  • 依地區
    • 北美洲
    • 歐洲
    • 亞太地區
    • 世界其他地區

第6章 競爭形勢

  • 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 市場機會及未來趨勢

簡介目錄
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