스포츠 애널리틱스 : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the sports analytics market size stood at USD 5.28 billion in 2026 and is forecast to reach USD 17.88 billion by 2031, corresponding to a 27.63% CAGR over the period.

This report is Segmented by Sport (Football, Cricket, Basketball, Hockey, American Football, Baseball, Rugby, Other Sports), Component (Software, and Services), Deployment (On-Premise, and Cloud), End User (Sports Teams/Clubs, Leagues and Federations, Individual Athletes, Sports Betting Operators, Other End User), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Sports Analytics Market Trends and Insights

Real-Time Tracking Enabled by IoT Sensors in North American Professional Leagues

Zebra RFID chips in NFL shoulder pads and optical cameras in NBA arenas generate millions of coordinates each game, compressing the analysis loop from hours to seconds. Microsoft's Copilot-enabled sideline application, rolled out league-wide in August 2025, converts those streams into fourth-down probabilities and fatigue alerts that coaches can act on instantly. Edge gateways and low-latency cloud zones are therefore replacing fixed data centers because teams cannot tolerate 5-10 second round-trip delays. The model is already diffusing to the English Premier League, which signed its own five-year AI partnership with Microsoft in July 2025.

Centralised Data-Warehousing Mandates from European Football Clubs for Transfer Valuation

Premier League and continental clubs increasingly treat multi-season performance archives as capital assets that justify eight-figure transfer fees. Oracle's Match Insights platform, first launched in 2021, collates video, positional, and biometric records so recruitment teams can benchmark prospects against historical comparables. Academy programs follow suit: Kitman Labs now underpins longitudinal tracking across every Premier League youth setup, giving sellers data-backed leverage in negotiations. As a result, buyers must counter with equally rich datasets or risk overpaying.

Limited Technology Budgets of Tier-2 Clubs in South America and Africa

Many second-division football organizations operate on annual budgets under USD 10 million and must choose salaries over data pipelines. Patchy fiber backhaul further hampers live uploads, forcing coaches to rely on manual tagging rather than automated sensor feeds. The gap risks locking in a two-tier global talent market where data-rich clubs monetize undervalued prospects, while cash-strapped peers fall behind.

Other drivers and restraints analyzed in the detailed report include:

1. Sports Betting Data Partnerships Post-Legalization in the United States
2. Franchise-Driven Analytics Adoption in Indian and Australian Cricket Leagues
3. GDPR and CCPA Constraints on Biometric Data Collection

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Football generated 39.78% revenue in 2025, yet rugby is expanding fastest at a 29.23% CAGR through 2031 as Sportable's sensor-embedded Gilbert ball delivers 20 positional updates per second for officiating and broadcast overlays. This data-rich object verifies lineouts and forward passes in real time, satisfying both referees and broadcasters. Cricket retains the second-largest slice, propelled by Hawk-Eye dominance in India and Australia, while basketball's spatial-tracking partnerships fortify its analytics baseline.

Rugby's momentum demonstrates that sports confronting officiating ambiguity adopt embedded sensors sooner than those with established replay systems. Successful trials at the 2023 Under-20 World Championship convinced Six Nations organizers to roll out smart balls through 2029, guaranteeing a steady uptick in hardware and software demand. The sports analytics market, therefore, benefits when technology solves officiating pain points and enriches fan storytelling.

Software licenses still accounted for 64.89% of value in 2025, but integration, data quality, and model-training services are expanding at a 28.11% CAGR. Deloitte's Converge for Sports bundles a fan data lake, loyalty functions, and real-time dashboards into a single managed service, underscoring why clubs prefer outcome-based contracts over toolkits. Consulting arms also mediate between proprietary wearables and public-cloud APIs, ensuring privacy controls and single-sign-on function across the stack.

The premium on services reflects rising architectural complexity. Modern deployments connect optical cameras, RFID chips, ticketing logs, and betting feeds inside a cloud warehouse. Without integration partners, clubs struggle to harmonize schemas or deploy machine-learning models safely. Vendors that pair product licenses with advisory programs have a cross-sell edge, and private equity investors reward those with steady services annuities.

Complete Report Scope:

• By Sport
  • Football
  • Cricket
  • Basketball
  • Hockey
  • American Football
  • Baseball
  • Rugby
  • Other Sports
• By Component
  • Software
  • Services
• By Deployment
  • On-Premise
  • Cloud
• By End User
  • Sports Teams/Clubs
  • Leagues and Federations
  • Individual Athletes
  • Sports Betting Operators
  • Other End Users
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Rest of Middle East
    • Africa
      • South Africa
      • Egypt
      • Rest of Africa
  • South America
    • Brazil
    • Argentina
    • Rest of South America

Geography Analysis

North America controlled 42.76% of revenue in 2025, aided by the NFL's league-wide IoT stack and widespread legal wagering that values sub-second data feeds. Major League Baseball's 2032 renewal with Sportradar, including an equity component, illustrates how long-term data contracts anchor cash flows for both rights holders and vendors. Mature broadband infrastructure, large media rights, and a culture of quantitative decision-making sustain spending momentum.

Europe ranked second, propelled by unified football data strategies and Oracle-powered broadcast overlays. Growth remains healthy but sits beneath global averages because GDPR introduces consent hurdles for biometric capture. Nevertheless, the July 2025 Premier League-Microsoft pact shows clubs will invest heavily once compliance workflows are standardized. The Middle East acts as an extension market: Saudi Arabia channels Vision 2030 capital into analytics pilots across cricket and football, while the United Arab Emirates recruits startups to its free zones.

Asia Pacific is advancing fastest at a 28.69% CAGR through 2031, led by cricket's franchise economics and a booming esports sector that shares data infrastructure. The Indian Premier League forces every club to maintain Hawk-Eye and Catapult systems, locking in recurrent software upgrades each season. China, South Korea, and Japan fuse traditional sports data with esports telemetry to build hybrid dashboards that coaches and shout-casters both rely on. By the early 2030s, cumulative spend is on track to match, then surpass, North America.

South America and Africa remain double-digit growth regions despite smaller bases. Budget limitations among tier-2 clubs slow adoption, but elite sides in Sao Paulo, Buenos Aires, and Johannesburg are already deploying wearables and cloud analytics on par with European counterparts. Infrastructure investments tied to 2030 World Cup bids and regional broadcasting deals are expected to gradually narrow the gap.

1. IBM Corporation
2. SAP SE
3. SAS Institute Inc.
4. Oracle Corporation
5. Microsoft Corporation
6. Stats Perform (Opta)
7. Catapult Group International Ltd
8. Sportradar AG
9. Genius Sports Group
10. Zebra Technologies Corp.
11. Kinexon GmbH
12. Second Spectrum Inc.
13. Hudl (Agile Sports)
14. Wyscout Srl
15. Zelus Analytics
16. ChyronHego Corp.
17. Hawk-Eye Innovations Ltd
18. Tableau Software LLC
19. Sportlogiq
20. Strivr Labs Inc.
21. Zone7 AI Ltd
22. Synergy Sports Technology
23. Kitman Labs
24. Orreco Ltd

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Real-Time Tracking Enabled by IoT Sensors in North-American Professional Leagues
  • 4.2.2 Centralised Data Warehousing Mandates from European Football Clubs for Transfer Valuation
  • 4.2.3 Sports-Betting Data Partnerships Post-Legalisation in the United States
  • 4.2.4 Franchise-Driven Analytics Adoption in Indian and Australian Cricket Leagues
  • 4.2.5 AI-Powered Injury Prediction Models Reducing Player Downtime
  • 4.2.6 Integration of Esports Performance Data with Traditional Sports Analytics
• 4.3 Market Restraints
  • 4.3.1 Limited Technology Budgets of Tier-2 Clubs in South America and Africa
  • 4.3.2 GDPR and CCPA Constraints on Biometric Data Collection
  • 4.3.3 Data-Ownership Disputes Between Leagues and Betting Operators
  • 4.3.4 Lack of Standardised Performance Metrics Across Women's Sports
• 4.4 Industry Value Chain Analysis
• 4.5 Impact of Macroeconomic Factors on the Market
• 4.6 Regulatory Outlook
• 4.7 Technology Outlook
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Bargaining Power of Suppliers
  • 4.8.2 Bargaining Power of Consumers
  • 4.8.3 Threat of New Entrants
  • 4.8.4 Intensity of Competitive Rivalry
  • 4.8.5 Threat of Substitutes

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Sport
  • 5.1.1 Football
  • 5.1.2 Cricket
  • 5.1.3 Basketball
  • 5.1.4 Hockey
  • 5.1.5 American Football
  • 5.1.6 Baseball
  • 5.1.7 Rugby
  • 5.1.8 Other Sports
• 5.2 By Component
  • 5.2.1 Software
  • 5.2.2 Services
• 5.3 By Deployment
  • 5.3.1 On-Premise
  • 5.3.2 Cloud
• 5.4 By End User
  • 5.4.1 Sports Teams/Clubs
  • 5.4.2 Leagues and Federations
  • 5.4.3 Individual Athletes
  • 5.4.4 Sports Betting Operators
  • 5.4.5 Other End Users
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 Europe
    • 5.5.2.1 Germany
    • 5.5.2.2 United Kingdom
    • 5.5.2.3 France
    • 5.5.2.4 Russia
    • 5.5.2.5 Rest of Europe
  • 5.5.3 Asia-Pacific
    • 5.5.3.1 China
    • 5.5.3.2 Japan
    • 5.5.3.3 India
    • 5.5.3.4 South Korea
    • 5.5.3.5 Australia
    • 5.5.3.6 Rest of Asia-Pacific
  • 5.5.4 Middle East and Africa
    • 5.5.4.1 Middle East
      • 5.5.4.1.1 Saudi Arabia
      • 5.5.4.1.2 United Arab Emirates
      • 5.5.4.1.3 Rest of Middle East
    • 5.5.4.2 Africa
      • 5.5.4.2.1 South Africa
      • 5.5.4.2.2 Egypt
      • 5.5.4.2.3 Rest of Africa
  • 5.5.5 South America
    • 5.5.5.1 Brazil
    • 5.5.5.2 Argentina
    • 5.5.5.3 Rest of South America

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as Available, Strategic Information, Market Rank/Share for Key Companies, Products and Services, and Recent Developments)
  • 6.4.1 IBM Corporation
  • 6.4.2 SAP SE
  • 6.4.3 SAS Institute Inc.
  • 6.4.4 Oracle Corporation
  • 6.4.5 Microsoft Corporation
  • 6.4.6 Stats Perform (Opta)
  • 6.4.7 Catapult Group International Ltd
  • 6.4.8 Sportradar AG
  • 6.4.9 Genius Sports Group
  • 6.4.10 Zebra Technologies Corp.
  • 6.4.11 Kinexon GmbH
  • 6.4.12 Second Spectrum Inc.
  • 6.4.13 Hudl (Agile Sports)
  • 6.4.14 Wyscout Srl
  • 6.4.15 Zelus Analytics
  • 6.4.16 ChyronHego Corp.
  • 6.4.17 Hawk-Eye Innovations Ltd
  • 6.4.18 Tableau Software LLC
  • 6.4.19 Sportlogiq
  • 6.4.20 Strivr Labs Inc.
  • 6.4.21 Zone7 AI Ltd
  • 6.4.22 Synergy Sports Technology
  • 6.4.23 Kitman Labs
  • 6.4.24 Orreco Ltd

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment