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1905722

日本体育分析市场规模、份额、趋势及预测（按组件、分析类型、运动项目及地区划分，2026-2034年）

Japan Sports Analytics Market Size, Share, Trends and Forecast by Component, Analysis Type, Sport, and Region, 2026-2034

出版日期: 2026年01月01日 | 出版商:

IMARC | 英文 117 Pages | 商品交期: 5-7个工作天内

价格

简介目录

2025年日本体育分析市场规模预估为1.12亿美元。展望未来， IMARC Group预测该市场规模到2034年将达到8.447亿美元，2026年至2034年的复合年增长率（CAGR）为25.18%。该市场正经历显着成长，主要得益于职业运动领域数据驱动决策的日益普及以及体育科技和数位基础设施的扩展。此外，人工智慧和机器学习在运动表现分析中的应用、球迷互动分析和个人化体育内容的拓展，以及穿戴式科技在运动员监测中的日益普及，也都在推动市场成长。

本报告解答的关键问题

1.日本体育分析市场规模有多大？
2.哪些因素正在推动日本体育分析市场的成长？
3.日本体育分析市场前景如何？

The Japan sports analytics market size was valued at USD 112.0 Million in 2025. Looking forward, IMARC Group estimates the market to reach USD 844.7 Million by 2034, exhibiting a CAGR of 25.18% from 2026-2034. The market is witnessing significant growth due to the rising adoption of data-driven decision-making in professional sports and the expansion of sports technology and digital infrastructure. Moreover, the integration of artificial intelligence and machine learning in performance analytics, expansion of fan engagement analytics and personalized sports content, and increasing adoption of wearable technology for player monitoring are expanding the market.

This demand for sports analytical purposes would be mostly because of the increasing emphasis on performance optimization and strategic planning among professional sports teams in Japan. Baseball, soccer, basketball, and rugby professional clubs and organizations increasingly use sophisticated data analytics for optimizing team strategies while improving player performance and lowering injury risks. The integration of AI and ML into sport analytics platforms can empower real-time data collection and predictions, allowing coaches and analysts to make better decisions based on predictive and effective analysis. With Japan poised to participate in the world stage for major sporting events such as the Olympics and FIFA World Cup, teams are increasingly adopting the state-of-the-art analytics solution to remain ahead of the competition. For instance, in 2024, Japan sent 744 athletes to the Paris Olympics, competing in 31 sports, showcasing the nation's strength across diverse disciplines on the world's biggest sporting stage.

Japan's well-developed digital infrastructure and advancements in sports technology are further accelerating market growth. The proliferation of wearable devices, high-speed 5G networks, and cloud computing solutions is facilitating seamless data collection and analysis. For instance, in November 2024, the PGA TOUR debuts TOURCast in Japan at the ZOZO Championship, using AWS Cloud and ShotLink powered by CDW to enhance statistical data, fan engagement, and real-time game insights in Asia. Real-time tracking of player biometrics and game statistics through IoT-enabled devices is enhancing training efficiency and injury prevention. Additionally, the increasing collaboration between sports organizations, universities, and technology firms is fostering innovation in analytics tools, further strengthening the market. With government support for digital transformation in sports, Japan is witnessing rapid integration of analytics-driven solutions across various levels of athletic performance and sports management.

Japan Sports Analytics Market Trends:

Integration of Artificial Intelligence and Machine Learning in Performance Analytics

Japanese sports teams and organizations are increasingly leveraging artificial intelligence (AI) and machine learning (ML) to enhance performance analytics. AI-driven tools enable real-time tracking of player movements, biometric data analysis, and predictive modeling to optimize game strategies and injury prevention. For instance, in January 2025, the Japan Sports Agency revises its athlete training strategy, integrating AI for performance enhancement while cautioning against overdependence, ensuring balanced development for Olympic and Paralympic preparation through HPSC and sports organizations. Advanced algorithms process vast amounts of data from wearables, video footage, and IoT-enabled devices, providing actionable insights that improve player conditioning and tactical decision-making. The adoption of AI-powered analytics is particularly evident in baseball and soccer, where data-driven strategies are becoming integral to training methodologies and in-game decision-making.

Expansion of Fan Engagement Analytics and Personalized Sports Content

Sports organizations and leagues in Japan are investing in analytics-driven fan engagement strategies to enhance audience experience and maximize revenue generation. With the growing influence of digital platforms, teams are utilizing big data analytics to deliver personalized content, targeted marketing campaigns, and immersive viewing experiences. AI-powered chatbots, real-time game insights, and interactive fan applications are gaining traction, enabling sports franchises to deepen fan interactions. For instance, in July 2024, KAATSU Global showcased its training and recovery technology at OLY House in Paris during the Olympics, offering athletes hands-on experience with KAATSU equipment while networking and watching live Olympic events. The rise of esports and online streaming platforms has further amplified the demand for advanced fan analytics, as organizations seek to optimize digital engagement through tailored content and behavioral analysis.

Increasing Adoption of Wearable Technology for Player Monitoring

The growing adoption of wearable technology in Japan's sports industry is transforming athlete performance tracking and injury prevention strategies. Wearable devices equipped with GPS, heart rate monitors, and motion sensors are being widely implemented across professional and amateur sports to collect real-time physiological and biomechanical data. For instance, in January 2025, ams OSRAM showcases sports analytics innovations at Wearable Expo, featuring Smart Rings, Glasses, and Watches with TMF882x dToF sensors, enabling real-time athlete monitoring, motion tracking, and performance optimization through 3D scene reconstruction and ultra-low power sensing. These insights assist coaches, trainers, and medical staff in assessing player workload, identifying fatigue levels, and minimizing injury risks. The integration of sports analytics software with wearable data is enabling teams to develop evidence-based training regimens, ensuring optimal physical conditioning. The trend is particularly strong in endurance sports, including marathon running and cycling, where continuous performance monitoring is essential for competitive success.

Japan Sports Analytics Industry Segmentation:

Analysis by Component:

Software
Service

With the assistance of sports analytics software, various aspects like performance analysis, injury prevention, and fan engagement are catered to in Japan. AI enigmas analyze enormous amounts of data to provide teams and coaches with real-time analysis, predictive modeling, and tactical assessments. Apart from these two, other avenues are provided by platforms and applications to improve all decision-making, which aids the optimization of player strategies and the game performance of different sports leagues and organizations.

Japan's analytics services assist sports teams, leagues, and broadcasters with bespoke data analytic services, player tracking, and strategic insights. Consulting firms condition performance optimization, injury risk assessment, and fan engagement strategies via big data solutions. They also implement AI-driven scouting and recruitment analytics, therefore helping teams identify talent and make competitive advantages maximization.

Analysis by Analysis Type:

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

In Japan, sports analytics enhances on-field performance through player and team analysis, video breakdowns, and health assessments. By leveraging data, teams can optimize training, improve strategies, and monitor athletes' well-being. This integration of analytics drives more precise decision-making and enhances competitive performance in Japanese sports.

Off-field, Japan's sports analytics market focuses on fan engagement and dynamic ticket pricing. Advanced data enables personalized content and real-time interactions with fans, fostering loyalty. Furthermore, analytics-driven ticket pricing strategies help maximize revenue by adjusting prices based on demand, creating a more responsive and profitable sports experience for both fans and organizations.

Analysis by Sport:

Football
Cricket
Hockey
Basketball
American Football
Others

Japan's J. League integrates AI-driven player tracking, tactical analysis, and predictive modeling to optimize team performance. Clubs use wearable GPS sensors and video analytics for player conditioning, passing accuracy, and formation adjustments. Fan engagement is enhanced through real-time match data, interactive platforms, and dynamic ticket pricing, boosting overall audience experience and revenue.

Cricket analytics in Japan supports batting and bowling performance tracking, biomechanics analysis, and strategic match simulations. AI-driven Hawk-Eye and motion capture systems help optimize player techniques and injury prevention. As cricket gains traction in Japan, data analytics aids in talent identification, enabling grassroots development and international competitiveness through structured performance assessments.

Ice and field hockey teams in Japan utilize video analysis, wearable sensors, and AI-based tactical assessments to refine puck movement, passing efficiency, and defensive strategies. Biomechanical monitoring helps improve skating dynamics and prevent injuries. Off-field, fan engagement benefits from real-time game analytics and interactive digital content, increasing viewership for local and international events.

Japan's basketball league uses AI-powered shot tracking, real-time player statistics, and game simulations to improve performance and coaching strategies. Motion tracking cameras analyze shooting accuracy, defensive positioning, and fatigue management. Fan engagement tools like interactive apps, AR/VR experiences, and personalized content recommendations enhance audience participation and viewership, driving league growth.

Japan's X-League leverages AI-based play recognition, real-time performance analytics, and predictive scouting models to optimize team tactics. Wearable tech monitors player speed, impact intensity, and recovery metrics, reducing injuries. Off-field, dynamic ticket pricing, social media analytics, and AI-driven fan interactions enhance engagement and commercial success in Japan's growing American football scene.

Regional Analysis:

Kanto Region
Kansai/Kinki Region
Central/ Chubu Region
Kyushu-Okinawa Region
Tohoku Region
Chugoku Region
Hokkaido Region
Shikoku Region

As Japan's sports hub, Kanto, home to Tokyo, integrates AI-driven analytics, player tracking, and dynamic ticket pricing in J. League, NPB, and B.League. Universities and pro teams use big data scouting and injury prevention tech. Fan engagement analytics and AR/VR applications enhance digital experiences, fueling revenue growth for major leagues and esports.

Kansai, with giants like Osaka and Kyoto, is actively deploying video AI, computer-driven documentation, and biomechanical oversight across sports besides baseball and basketball. These models are suitable for dynamic adjustabilities in the rates boarding on ticket sales Gotting for Hanshin Tigers and Gamba Osaka. Tools for wearable tracking remain the thrust among teams for asset management and analysis, while making fans visually clearer and enhancing their attentiveness at data shows.

In Chubu, the Chunichi Dragons take AI into play for monitoring of players, prevention of injuries, and competition analysis. Every baseball and motor racing network derives truth from Hawk-Eye technology. Sports tech startups situated in Aichi and Shizuoka are busy developing creative biomechanics and motion tracking solutions tailored to suit the propitious and effective improvement of conditioning of athletes and scouting for league participation by region or national standard.

For Kyushu, Fukuoka SoftBank Hawks and Avispa Fukuoka use big data as well as GPS tracking (being the epicenters these days), and simulations for performance based on tactics, injury prevention in the case of martial arts and rugby academies already using an AI-based system. The whole exercise is amplified by fan analytics and immersive engagement, using AR/VR fan engagement platforms to involve audiences in different sporting infrastructures.

Tohoku runs biomechanics, motion, and AI-based scouting with events like Rakuten Eagles and Vegalta Sendai. For sports like ice hockey and skiing, they are prominent for determining winter sports in colder regions and using AI for performance enhancement and real-time tracking insights. Smart stadium tech and interactive fan apps are making the teams more lucrative in this region.

Chugoku, of Hiroshima Carp and Sanfrecce Hiroshima, is also into video analytics, AI for sports modeling, as well as automated game simulations. AI in judo and sumo training tools will be increasing the efficiency of coaches. Enriching revenue streams are fan engagement tech, which involves bureau measures and dynamic pricing, for both professional teams and regional leagues.

The capability of sports science, GPS tracking, and real-time player analysis of Hokkaido's Hokkaido Nippon-Ham Fighters and Consadole Sapporo make them soar at the northern Japanese region. AI-based performance monitoring, as well as injury prevention solutions, benefit winter sports athletes who ski or skate on ice. Beyond that, integrating fan engagement tools and virtual stadium experiences govern audience engagement for professional and collegiate sports.

The entire of Shikoku sports, represented by Tokushima Vortis and Kagawa Five Arrows, is catching up to AI-driven scouting and performance tracking and biometric monitoring. Wearable tech and real-time analytics are upholders for regional baseball, football, and basketball squads. In the local esports' lines, such as fan behaviors analytic, AR-based engagement tool is used to bring in a wider audience to both digital and live sports events.

Competitive Landscape:

Japan sports analytics market is characterized by the presence of global and domestic technology providers offering advanced data-driven solutions. Key players alongside Japanese technology companies specializing in AI-driven analytics. For instance, in 2024, Catapult, a major international firm providing sports analytics in Japan, released a prediction that 79% of sports industry professionals see AI and prescriptive analytics as crucial, with real-time training adjustments using multiple data sets expected to transform athlete performance and sports technology. Partnerships between sports organizations and tech firms are increasing, driving innovation in performance analysis and fan engagement solutions. The market is witnessing growing investment in wearable technology, real-time data tracking, and cloud-based analytics platforms. Competition is intensifying as companies enhance AI capabilities and expand offerings to cater to professional teams, leagues, and training academies.

The report provides a comprehensive analysis of the competitive landscape in the Japan sports analytics market with detailed profiles of all major companies.

Key Questions Answered in This Report

1.How big is the sports analytics market in Japan?
2.What factors are driving the growth of the Japan sports analytics market?
3.What is the forecast for the sports analytics market in the Japan?

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 Japan Sports Analytics Market - Introduction

4.1 Overview
4.2 Market Dynamics
4.3 Industry Trends
4.4 Competitive Intelligence

5 Japan Sports Analytics Market Landscape

5.1 Historical and Current Market Trends (2020-2025)
5.2 Market Forecast (2026-2034)

6 Japan Sports Analytics Market - Breakup by Component

6.1 Software
- 6.1.1 Overview
- 6.1.2 Historical and Current Market Trends (2020-2025)
- 6.1.3 Market Forecast (2026-2034)
6.2 Service
- 6.2.1 Overview
- 6.2.2 Historical and Current Market Trends (2020-2025)
- 6.2.3 Market Forecast (2026-2034)

7 Japan Sports Analytics Market - Breakup by Analysis Type

7.1 On-Field
- 7.1.1 Overview
- 7.1.2 Historical and Current Market Trends (2020-2025)
- 7.1.3 Market Segmentation
  - 7.1.3.1 Player and Team Analysis
  - 7.1.3.2 Video Analysis
  - 7.1.3.3 Health Assessment
- 7.1.4 Market Forecast (2026-2034)
7.2 Off-Field
- 7.2.1 Overview
- 7.2.2 Historical and Current Market Trends (2020-2025)
- 7.2.3 Market Segmentation
  - 7.2.3.1 Fan Engagement
  - 7.2.3.2 Ticket Pricing
- 7.2.4 Market Forecast (2026-2034)

8 Japan Sports Analytics Market - Breakup by Sport

8.1 Football
- 8.1.1 Overview
- 8.1.2 Historical and Current Market Trends (2020-2025)
- 8.1.3 Market Forecast (2026-2034)
8.2 Cricket
- 8.2.1 Overview
- 8.2.2 Historical and Current Market Trends (2020-2025)
- 8.2.3 Market Forecast (2026-2034)
8.3 Hockey
- 8.3.1 Overview
- 8.3.2 Historical and Current Market Trends (2020-2025)
- 8.3.3 Market Forecast (2026-2034)
8.4 Basketball
- 8.4.1 Overview
- 8.4.2 Historical and Current Market Trends (2020-2025)
- 8.4.3 Market Forecast (2026-2034)
8.5 American Football
- 8.5.1 Overview
- 8.5.2 Historical and Current Market Trends (2020-2025)
- 8.5.3 Market Forecast (2026-2034)
8.6 Others
- 8.6.1 Historical and Current Market Trends (2020-2025)
- 8.6.2 Market Forecast (2026-2034)

9 Japan Sports Analytics Market - Breakup by Region

9.1 Kanto Region
- 9.1.1 Overview
- 9.1.2 Historical and Current Market Trends (2020-2025)
- 9.1.3 Market Breakup by Component
- 9.1.4 Market Breakup by Analysis Type
- 9.1.5 Market Breakup by Sport
- 9.1.6 Key Players
- 9.1.7 Market Forecast (2026-2034)
9.2 Kansai/Kinki Region
- 9.2.1 Overview
- 9.2.2 Historical and Current Market Trends (2020-2025)
- 9.2.3 Market Breakup by Component
- 9.2.4 Market Breakup by Analysis Type
- 9.2.5 Market Breakup by Sport
- 9.2.6 Key Players
- 9.2.7 Market Forecast (2026-2034)
9.3 Central/ Chubu Region
- 9.3.1 Overview
- 9.3.2 Historical and Current Market Trends (2020-2025)
- 9.3.3 Market Breakup by Component
- 9.3.4 Market Breakup by Analysis Type
- 9.3.5 Market Breakup by Sport
- 9.3.6 Key Players
- 9.3.7 Market Forecast (2026-2034)
9.4 Kyushu-Okinawa Region
- 9.4.1 Overview
- 9.4.2 Historical and Current Market Trends (2020-2025)
- 9.4.3 Market Breakup by Component
- 9.4.4 Market Breakup by Analysis Type
- 9.4.5 Market Breakup by Sport
- 9.4.6 Key Players
- 9.4.7 Market Forecast (2026-2034)
9.5 Tohoku Region
- 9.5.1 Overview
- 9.5.2 Historical and Current Market Trends (2020-2025)
- 9.5.3 Market Breakup by Component
- 9.5.4 Market Breakup by Analysis Type
- 9.5.5 Market Breakup by Sport
- 9.5.6 Key Players
- 9.5.7 Market Forecast (2026-2034)
9.6 Chugoku Region
- 9.6.1 Overview
- 9.6.2 Historical and Current Market Trends (2020-2025)
- 9.6.3 Market Breakup by Component
- 9.6.4 Market Breakup by Analysis Type
- 9.6.5 Market Breakup by Sport
- 9.6.6 Key Players
- 9.6.7 Market Forecast (2026-2034)
9.7 Hokkaido Region
- 9.7.1 Overview
- 9.7.2 Historical and Current Market Trends (2020-2025)
- 9.7.3 Market Breakup by Component
- 9.7.4 Market Breakup by Analysis Type
- 9.7.5 Market Breakup by Sport
- 9.7.6 Key Players
- 9.7.7 Market Forecast (2026-2034)
9.8 Shikoku Region
- 9.8.1 Overview
- 9.8.2 Historical and Current Market Trends (2020-2025)
- 9.8.3 Market Breakup by Component
- 9.8.4 Market Breakup by Analysis Type
- 9.8.5 Market Breakup by Sport
- 9.8.6 Key Players
- 9.8.7 Market Forecast (2026-2034)

10 Japan Sports Analytics Market - Competitive Landscape

10.1 Overview
10.2 Market Structure
10.3 Market Player Positioning
10.4 Top Winning Strategies
10.5 Competitive Dashboard
10.6 Company Evaluation Quadrant

11 Profiles of Key Players

11.1 Company A
- 11.1.1 Business Overview
- 11.1.2 Product Portfolio
- 11.1.3 Business Strategies
- 11.1.4 SWOT Analysis
- 11.1.5 Major News and Events
11.2 Company B
- 11.2.1 Business Overview
- 11.2.2 Product Portfolio
- 11.2.3 Business Strategies
- 11.2.4 SWOT Analysis
- 11.2.5 Major News and Events
11.3 Company C
- 11.3.1 Business Overview
- 11.3.2 Product Portfolio
- 11.3.3 Business Strategies
- 11.3.4 SWOT Analysis
- 11.3.5 Major News and Events
11.4 Company D
- 11.4.1 Business Overview
- 11.4.2 Product Portfolio
- 11.4.3 Business Strategies
- 11.4.4 SWOT Analysis
- 11.4.5 Major News and Events
11.5 Company E
- 11.5.1 Business Overview
- 11.5.2 Product Portfolio
- 11.5.3 Business Strategies
- 11.5.4 SWOT Analysis
- 11.5.5 Major News and Events

12 Japan Sports Analytics Market - Industry Analysis

12.1 Drivers, Restraints, and Opportunities
- 12.1.1 Overview
- 12.1.2 Drivers
- 12.1.3 Restraints
- 12.1.4 Opportunities
12.2 Porters Five Forces Analysis
- 12.2.1 Overview
- 12.2.2 Bargaining Power of Buyers
- 12.2.3 Bargaining Power of Suppliers
- 12.2.4 Degree of Competition
- 12.2.5 Threat of New Entrants
- 12.2.6 Threat of Substitutes
12.3 Value Chain Analysis