시장보고서
상품코드
1941390

스포츠 분석 시장 보고서 : 구성요소별, 분석 유형별, 스포츠별, 지역별(2026-2034년)

Sports Analytics Market Report by Component (Software, Service), Analysis Type (On-field, Off-field), Sport (Football, Cricket, Hockey, Basketball, American Football, and Others), and Region 2026-2034

발행일: | 리서치사: IMARC | 페이지 정보: 영문 136 Pages | 배송안내 : 2-3일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 스포츠 분석 시장 규모는 2025년에 17억 2,950만 달러에 달했습니다. 향후 IMARC Group은 2034년까지 이 시장이 62억 9,320만 달러에 달하고, 2026년부터 2034년까지 CAGR 14.97%로 성장할 것으로 예측하고 있습니다. 스포츠 선수들의 경기력 향상과 운영 효율화에 대한 수요 증가, AI와 머신러닝 등 첨단 기술의 통합 가속화, 그리고 세계 스포츠 베팅과 판타지 스포츠의 확대로 인해 시장은 꾸준히 성장하고 있습니다.

스포츠 분석 시장 동향:

선수들의 경기력 향상과 팀 효율성에 대한 요구 증가

경기 스포츠는 기술 주도형으로 진화하고 있으며, 코칭스태프의 분석에 기반한 우위 확보가 선수의 경기력 향상과 팀의 효율성 향상으로 이어집니다. 스포츠 애널리틱스는 선수의 건강 상태, 경기력 패턴, 전술 전략에 대한 인사이트를 도출하여 코치의 의사결정과 전략 수립을 돕습니다. 최근 스포츠 애널리틱스 시장의 트렌드로는 웨어러블 기술과 영상 분석을 활용한 최신 분석 툴을 꼽을 수 있습니다. 선수의 체력 상태, 경기 전개, 부상 예방에 대한 정보를 상세 지표를 통해 수집합니다. 그 결과, 데이터에 기반한 의사결정이 경기 성과를 미세 조정하고, 성과를 향상시키며, 리그 및 토너먼트에서 팀의 경쟁력을 높일 수 있습니다. 따라서 이는 시장 성장을 크게 뒷받침하는 요인으로 작용하고 있습니다.

AI, 머신러닝 등 첨단 기술 통합

스포츠 분석 시장을 변화시키는 인공지능(AI)과 머신러닝의 역할은 매우 중요합니다. 이는 스포츠 데이터 시스템의 분석 기능을 더욱 강화하여 방대한 데이터세트에서 인사이트이 풍부하고 심오하고 정확한 추론을 도출합니다. 그 영향은 선수의 부상 예측부터 개인화된 경험을 통한 팬 참여에 이르기까지 다양합니다. 예측 분석을 통해 조직은 부상 예방, 최적의 선수 기용, 전략 효과 극대화 등 정보에 입각한 의사결정을 내릴 수 있습니다. 예를 들어, 스파르타 사이언스는 고속 포스플레이트 시스템과 AI를 결합하여 초당 3,000개의 데이터 포인트를 수집하고, 야구 선수의 '동작 시그니처'를 생성하여 훈련 프로그램을 최적화하고 있습니다. 따라서 이해관계자들이 완전한 실시간 인사이트를 활용하고 스포츠 비즈니스에서 우위를 점하기 위해 이러한 기술 강화를 도입하고 있다는 점이 스포츠 분석 시장의 전망을 밝게 하고 있습니다.

스포츠 베팅과 판타지 스포츠의 확장

스포츠 애널리틱스 시장의 주요 성장 요인은 판타지 스포츠의 인기 상승과 전 세계 각 지역의 스포츠 베팅 합법화 확대입니다. 최근 판타지 스포츠 플랫폼 'SportsBaazi(구 : BalleBaazi)는 월드컵 기간 동안 월간 플레이어 수가 60% 증가하였습니다. 이 플랫폼은 40만 명 이상의 활성 사용자를 유지하고 있으며, 신규 등록자 수는 40% 증가했습니다. 이는 스포츠 분석 시장의 수익에 긍정적인 영향을 미치고 있습니다. 이러한 분야의 분석은 베터와 판타지 스포츠 참가자들이 데이터 기반 인사이트를 바탕으로 정보에 입각한 의사결정을 내리고 최적의 결과를 얻기 위한 적절한 예측을 할 수 있도록 돕습니다. 이 시스템은 선수의 경기력 분석, 경기 결과, 실시간 데이터 피드를 제공하여 베팅 경험을 개선하고 참가자의 참여도를 높입니다. 또한, 이러한 시장에서의 정확한 예측과 상세한 선수 통계에 대한 수요 증가는 스포츠 분석 솔루션에 대한 투자 확대와 베팅 및 판타지 스포츠 산업에서의 채택 촉진으로 이어지고 있습니다.

목차

제1장 서문

제2장 조사 범위와 조사 방법

제3장 주요 요약

제4장 소개

제5장 세계의 스포츠 분석 시장

제6장 시장 내역 : 구성요소별

제7장 시장 내역 : 분석 유형별

제8장 시장 내역 : 스포츠별

제9장 시장 내역 : 지역별

제10장 SWOT 분석

제11장 밸류체인 분석

제12장 Porter's Five Forces 분석

제13장 가격 분석

제14장 경쟁 구도

KSM 26.03.10

The global sports analytics market size reached USD 1,729.5 Million in 2025. Looking forward, IMARC Group expects the market to reach USD 6,293.2 Million by 2034, exhibiting a growth rate (CAGR) of 14.97% during 2026-2034. The market is experiencing steady growth driven by the rising demand for enhancing athlete performance and operational efficiencies in competitive sports, the accelerating integration of advanced technologies such as AI and machine learning, and the expansion of sports betting and fantasy sports globally.

Sports Analytics Market Analysis:

  • Major Market Drivers: The main factor for the sports analytics market growth is the escalating utilization of data to enhance the performances of players and the strategy of a team. The use of advanced metrics can derive a competitive advantage for teams, hence driving the sports analytics industry. Integration with AI and ML to derive deeper actionable insights from large datasets further propels the market.
  • Key Market Trends: The recent sports analytics market trends include growing demand for real-time data analysis with an access device, leading to an increase in cloud-based analytics solutions. As several teams and leagues adopt these technologies, the use of sports analytics is increasing in personalizing the fan experience and thereby driving loyalty.
  • Geographical Trends: North America is the leading market for the sports analytics landscape, based on strong sports infrastructure, high adoption rates of advanced technologies, and the trend of sports betting. Fast-growing geographies include Europe and Asia-Pacific, which are driven by growing investments in sports technologies and the growing sports league.
  • Competitive Landscape: According to the sports analytics market analysis, the market is moderately fragmented in nature. SAP SE, and Oracle Corporation are some of the leading companies that provide very robust solutions tailored to sports teams and leagues. Small companies and start-ups are also getting into the market with more innovative tools and technologies for analytics, hence raising the competition.
  • Challenges and Opportunities: The main challenges are the high costs of deployment of advanced analytics solutions and concerns related to data privacy and security. However, the rise of more affordable and secure analytics solutions that benefit a wider spectrum of sports organizations, ranging from amateur leagues to educational institutions are some of the sports analytics market recent opportunities.

Sports Analytics Market Trends:

Increasing demand for player performance enhancement and team efficiency

Competitive sports are increasingly technologically driven, and the advantages gained may lead to improved performance by players and greater efficiency for teams, based on analysis conducted by coaches. Sports analytics help to derive insights about player health, performance patterns, and tactical strategies to guide a coach in decision-making and strategy formulation. The sports analytics market recent developments include modern analytical tools, which use wearable technologies and video analysis, and make use of deep metrics to obtain information about player fitness, game dynamics, and injury prevention. Consequently, developing data-driven decisions fine-tunes athletic performance, thus augmenting outcomes and enhancing the team's competitive edge in leagues and tournaments. Therefore, this is significantly supporting the market growth.

Integration of advanced technologies such as AI and machine learning

The role of artificial intelligence and machine learning in transforming the sports analytics market is massive. They further enhance the analytic functions of the sports data systems for the derivation of insightful, deep, and accurate inferences from large sets of data. It runs deep, from the prediction of player injuries to fan engagement through personalized experiences. With predictive analytics, organizations make informed decisions that prevent injuries, optimize line-ups, and maximize strategy effectiveness. For instance, Sparta Science is applying AI with a high-speed force-plate system, collecting 3,000 data points per second, creating "Movement Signatures" with baseball athletes, and optimizing training programs. Therefore, the adoption of such technological enhancements among stakeholders to exploit complete, real-time insights and stay ahead in the sports business is fostering a positive sports analytics market outlook.

Expansion of sports betting and fantasy sports

The key growth drivers for the sports analytics market are the increasing popularity of fantasy sports and the legal expansion of sports betting in many parts of the world. Recently, SportsBaazi (formerly BalleBaazi), a fantasy-gaming platform, recorded a 60% increase in playing users month-over-month during the World Cup. The platform has been retaining an active user base of over 400,000 players, with new signups up 40%. Thus, this is positively influencing the sports analytics market revenue. Analytics in these sectors help the bettors and participants of fantasy sports in making informed decisions and deriving proper predictions with data-driven insights for the best possible results. The system provides information on player performance analytics, game results, and real-time data feeds to make the betting experience better and increase the level of engagement of the participants. Additionally, the increasing demand for accurate predictions and in-depth player statistics in these markets leads to higher investments in sports analytics solutions and their adoption by the betting and fantasy sports industries.

Sports Analytics Market Segmentation:

Breakup by Component:

  • Software
  • Service

Software accounts for the majority of the market share

The largest market share in the sports analytics market is of the software segment, as the software is the major constituent wherein aggregation of data takes place, along with its analysis and interpretations. The software segment varies largely, from data management and visualization tools to predictive and prescriptive analytics software, tailor-fitted to refine decision-making about sports management. Demand for sports analytics software is being generated since it helps in holistic insights into player performance, team dynamics, and game strategies, which lets the coach, analysts, and managers make fast and informative decisions. According to the sports analytics market report, the ongoing evolution of these software solutions is set to be in alignment with the evolution of AI and machine learning technologies, which makes it more and more efficient and insightful. In addition, growth in cloud-based analytics software is enhancing this segment: it is easily scalable, user-friendly, and easily accessed remotely, completely meeting the needs of the modern sports organization.

Breakup by Analysis Type:

  • On-field
    • Player and Team Analysis
    • Video Analysis
    • Health Assessment
  • Off-field
    • Fan Engagement
    • Ticket Pricing

On-field holds the largest share of the industry

On-field analysis seems to be the largest segment of the sports analytics market since it deals directly with the decision-making on the field, during play and practice and hence offers immediate payoff. Performance analysis is known as on-field analysis because it is directly related to actual performance on the field. It offers important information to design game strategies, player setups, and tactical set-ups for in-game situations. These are performance-based analytics employed for improvising the actual performance of players or teams through strategies that are based on real-time data and the historical performance of those players or teams. On-field analytics gives teams vital information needed to design game strategies, player set-up, and tactical configuration for game situations. Tools are used for on-field analysis, such as player tracking systems, video analysis software, and wearable technology, among others. Thus, their increasing demand is propelling the sports analytics market growth.

Breakup by Sport:

  • Football
  • Cricket
  • Hockey
  • Basketball
  • American Football
  • Others

Football represents the leading market segment

Football drives the highest share in the sports analytics market. The sports analytics market forecast suggests that football will continue its dominance in the segment due to its global popularity and well-established professional infrastructure. With football being the most popular sport watched and played worldwide, teams and associations invest heavily in analytics for competitive advantages, performance optimization, and making better tactical decisions. It is quite dynamic and complex, with the main aspects focusing on strategy, player fitness, and team coordination. The insights, in turn, are data-driven and fine-tune anything from the role of an individual player to the formation of a team, how to prevent injuries, and even scouting new talent. Therefore, analytics has been used in a wide way in football, considering higher stakes to make it to the leagues and win a match, as well as the prospect of earning revenues in football competitions. The sports analytics market overview suggests that innovations of advanced analytical tools and software in football are in high demand every passing day, driving innovation and expansion further in this segment of the sports analytics market.

Breakup by Region:

  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

North America leads the market, accounting for the largest sports analytics market share

The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America represents the largest regional market for sports analytics.

North America holds the largest sports analytics market share. This can be attributed to advanced technological infrastructure, high investment levels in the domain of sports and related technologies, and a deeply ingrained sports culture. Analysts put analytics into play in most, if not all, aspects of team operations to enhance team performance, player health management, and fan engagement, among other things. In addition, North America is ahead in frontier technology adoption, such as artificial intelligence and machine learning, which play crucial roles in modern sports analytics. Broad legalization of sports betting across the region further augments the sports analytics demand, as stakeholders use such data-driven insights to make betting decisions or to enhance user engagement on fantasy sports platforms.

Competitive Landscape:

The market research report has also provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the major market players in the sports analytics industry include:

  • Agile Sports Analytics
  • Catapult
  • Chyron Corporation
  • Experfy Inc
  • Genius Sports Group
  • HCL Technologies Limited
  • iSportsAnalysis
  • Kinexon
  • Oracle Corporation
  • SAP SE
  • Stats Perform

Major sports analytics companies in this market space include SAP SE, and Oracle Corporation which are increasingly updating their offerings with the infusion of advanced technologies such as artificial intelligence or machine learning. They also have an eye on the wider deployment of these technologies across sports leagues and teams in the world, enabled by strategic partnerships. They are also investing in various cloud-based solutions to make sports analytics scalable and accessible to a growing clientele across the globe. The sports analytics market forecast suggests that major companies are seeking to build an even more sophisticated analytics tool that will provide deeper insights into game performance metrics and player health to optimize team performance and minimize injury.

Key Questions Answered in This Report

  • 1.What was the size of the global sports analytics market in 2025?
  • 2.What is the expected growth rate of the global sports analytics market during 2026-2034?
  • 3.What are the key factors driving the global sports analytics market?
  • 4.What has been the impact of COVID-19 on the global sports analytics market?
  • 5.What is the breakup of the global sports analytics market based on the component?
  • 6.What is the breakup of the global sports analytics market based on the analysis type?
  • 7.What is the breakup of the global sports analytics market based on the sport?
  • 8.What are the key regions in the global sports analytics market?
  • 9.Who are the key players/companies in the global sports analytics market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Sports Analytics Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Component

  • 6.1 Software
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Service
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast

7 Market Breakup by Analysis Type

  • 7.1 On-field
    • 7.1.1 Market Trends
    • 7.1.2 Key Segments
      • 7.1.2.1 Player and Team Analysis
      • 7.1.2.2 Video Analysis
      • 7.1.2.3 Health Assessment
    • 7.1.3 Market Forecast
  • 7.2 Off-field
    • 7.2.1 Market Trends
    • 7.2.2 Key Segments
      • 7.2.2.1 Fan Engagement
      • 7.2.2.2 Ticket Pricing
    • 7.2.3 Market Forecast

8 Market Breakup by Sport

  • 8.1 Football
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Cricket
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Hockey
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Basketball
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 American Football
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast
  • 8.6 Others
    • 8.6.1 Market Trends
    • 8.6.2 Market Forecast

9 Market Breakup by Region

  • 9.1 North America
    • 9.1.1 United States
      • 9.1.1.1 Market Trends
      • 9.1.1.2 Market Forecast
    • 9.1.2 Canada
      • 9.1.2.1 Market Trends
      • 9.1.2.2 Market Forecast
  • 9.2 Asia-Pacific
    • 9.2.1 China
      • 9.2.1.1 Market Trends
      • 9.2.1.2 Market Forecast
    • 9.2.2 Japan
      • 9.2.2.1 Market Trends
      • 9.2.2.2 Market Forecast
    • 9.2.3 India
      • 9.2.3.1 Market Trends
      • 9.2.3.2 Market Forecast
    • 9.2.4 South Korea
      • 9.2.4.1 Market Trends
      • 9.2.4.2 Market Forecast
    • 9.2.5 Australia
      • 9.2.5.1 Market Trends
      • 9.2.5.2 Market Forecast
    • 9.2.6 Indonesia
      • 9.2.6.1 Market Trends
      • 9.2.6.2 Market Forecast
    • 9.2.7 Others
      • 9.2.7.1 Market Trends
      • 9.2.7.2 Market Forecast
  • 9.3 Europe
    • 9.3.1 Germany
      • 9.3.1.1 Market Trends
      • 9.3.1.2 Market Forecast
    • 9.3.2 France
      • 9.3.2.1 Market Trends
      • 9.3.2.2 Market Forecast
    • 9.3.3 United Kingdom
      • 9.3.3.1 Market Trends
      • 9.3.3.2 Market Forecast
    • 9.3.4 Italy
      • 9.3.4.1 Market Trends
      • 9.3.4.2 Market Forecast
    • 9.3.5 Spain
      • 9.3.5.1 Market Trends
      • 9.3.5.2 Market Forecast
    • 9.3.6 Russia
      • 9.3.6.1 Market Trends
      • 9.3.6.2 Market Forecast
    • 9.3.7 Others
      • 9.3.7.1 Market Trends
      • 9.3.7.2 Market Forecast
  • 9.4 Latin America
    • 9.4.1 Brazil
      • 9.4.1.1 Market Trends
      • 9.4.1.2 Market Forecast
    • 9.4.2 Mexico
      • 9.4.2.1 Market Trends
      • 9.4.2.2 Market Forecast
    • 9.4.3 Others
      • 9.4.3.1 Market Trends
      • 9.4.3.2 Market Forecast
  • 9.5 Middle East and Africa
    • 9.5.1 Market Trends
    • 9.5.2 Market Breakup by Country
    • 9.5.3 Market Forecast

10 SWOT Analysis

  • 10.1 Overview
  • 10.2 Strengths
  • 10.3 Weaknesses
  • 10.4 Opportunities
  • 10.5 Threats

11 Value Chain Analysis

12 Porters Five Forces Analysis

  • 12.1 Overview
  • 12.2 Bargaining Power of Buyers
  • 12.3 Bargaining Power of Suppliers
  • 12.4 Degree of Competition
  • 12.5 Threat of New Entrants
  • 12.6 Threat of Substitutes

13 Price Analysis

14 Competitive Landscape

  • 14.1 Market Structure
  • 14.2 Key Players
  • 14.3 Profiles of Key Players
    • 14.3.1 Agile Sports Analytics
      • 14.3.1.1 Company Overview
      • 14.3.1.2 Product Portfolio
      • 14.3.1.3 Financials
      • 14.3.1.4 SWOT Analysis
    • 14.3.2 Catapult
      • 14.3.2.1 Company Overview
      • 14.3.2.2 Product Portfolio
      • 14.3.2.3 Financials
      • 14.3.2.4 SWOT Analysis
    • 14.3.3 Chyron Corporation
      • 14.3.3.1 Company Overview
      • 14.3.3.2 Product Portfolio
      • 14.3.3.3 Financials
      • 14.3.3.4 SWOT Analysis
    • 14.3.4 Experfy Inc
      • 14.3.4.1 Company Overview
      • 14.3.4.2 Product Portfolio
    • 14.3.5 Genius Sports Group
      • 14.3.5.1 Company Overview
      • 14.3.5.2 Product Portfolio
      • 14.3.5.3 Financials
      • 14.3.5.4 SWOT Analysis
    • 14.3.6 HCL Technologies Limited
      • 14.3.6.1 Company Overview
      • 14.3.6.2 Product Portfolio
      • 14.3.6.3 Financials
      • 14.3.6.4 SWOT Analysis
    • 14.3.7 iSportsAnalysis
      • 14.3.7.1 Company Overview
      • 14.3.7.2 Product Portfolio
    • 14.3.8 Kinexon
      • 14.3.8.1 Company Overview
      • 14.3.8.2 Product Portfolio
      • 14.3.8.3 Financials
      • 14.3.8.4 SWOT Analysis
    • 14.3.9 Oracle Corporation
      • 14.3.9.1 Company Overview
      • 14.3.9.2 Product Portfolio
      • 14.3.9.3 Financials
      • 14.3.9.4 SWOT Analysis
    • 14.3.10 SAP SE
      • 14.3.10.1 Company Overview
      • 14.3.10.2 Product Portfolio
      • 14.3.10.3 Financials
      • 14.3.10.4 SWOT Analysis
    • 14.3.11 Stats Perform
      • 14.3.11.1 Company Overview
      • 14.3.11.2 Product Portfolio
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