Sports Analytics Market

Best Price Guarantee	Length	Publisher	Published Date	SKU
from $4,850	150 Pages	Fortune Business Insights Pvt. Ltd.	October, 2024	FOB19260662

Best Price Guarantee
Price	from $4,850
Length	150 Pages
Publisher	Fortune Business Insights Pvt. Ltd.
Published Date	October, 2024
SKU	FOB19260662

Sports Analytics Market

Growth Factors of Sports Analytics Market

The sports analytics market size was valued at USD 3.78 billion in 2023, and the market is now projected to grow from USD 4.81 billion in 2024 to USD 32.31 billion by 2032, exhibiting a CAGR of 26.9% during the forecast period of 2024-2032.

The pandemic considerably impacted enterprises, leading sports organizations to adopt online solutions and Al-based technologies to enhance fan experience and advantage specific insights for athletes.

The use of modern technologies like Big Data, IoT, cloud, analytics, mobility, and social media has transformed the business surroundings, using increase and innovation. The demand for in-depth understanding has increased the recognition of these technology. With international commercial enterprise development riding the growth of data capacity, about 55.0% of players use Big Data to screen and enhance performance. Sports businesses are embracing analytics to broaden decision-making and resource person and crew overall performance. Advancements in Machine Learning, Artificial Intelligence, and Big Data have transformed the whole sports activities enterprise, developing sports analytics market growth possibilities.

The unpredictable marketplace and advanced technological implementation costs are increasing the utilization of cloud-based solution worldwide. Companies are focusing on reducing costs and increasing demand for software brought at the cloud because of its advantages like speedy scalability, low value, easy access, and uninterrupted service. The growing competitiveness, selection-making, and social media effect have expanded the recognition of analytics, with clubs and groups related to analytics businesses turning into a substantial trend.

Comprehensive Analysis of Sports Analytics Market

The sports analytics market is categorized into cloud and on-premises deployment models, with cloud services likely to lead due to the growing demand for structured and visualized data. This growth is attributed to the increasing adoption of digital transformation connected devices and automation among small and medium-sized businesses. The market is further divided into on-field and off-field segments, with on-field analytics having the largest revenue share in 2023. Off-field analytics is used by stakeholders, fantasy gaming, and betting applications to enhance productivity and make informed decisions. The market is also divided into video analytics, bio analytics, smart wearable technology, and others. The smart wearable technology segment holds the maximum revenue share in 2023, with video analytics expected to grow at the highest CAGR due to its numerous applications in sports and science. The technology market is classified into Al, Big Data, and others. Big Data holds the maximum revenue share in 2023, as specialized athletes and teams rely on it to win against competitors. Al-based solutions are expected to grow at the highest CAGR due to their advantages in analyzing and improving athlete performance. The end-user segment is divided into teams and individuals, with teams having the largest revenue share in 2023.

The North America region lead the sports analytics market share by benefitting a market size of USD 1.45 billion in 2023 due to growing investments by primary leagues like MLB, NFL, and NBA. Leading groups like SAP SE, Tableau Software, LLC, and IBM Corporation are investing closely in research and improvement to fulfill patron needs and gain competitive edge in the location.

The marketplace is a dynamic startup system with over one hundred startups anticipated to build solutions. This market is expected to generate sturdy opposition, forcing present agencies to always replace their offerings. This competition is expected to grow marketplace size and create greater opportunities for marketplace contributors. Key groups profiled encompass Oracle Corporation, WHOOP, SAP SE, Catapult, IBM, SAS Institute Inc., Sportradar AG, Kitman Labs, Stats Perform, and Orecco.

Zelus Analytics, a sports analytics business enterprise, has finished the first tranche of its Series A investment, so one can be used for enterprise expansion in October 2023.

Segmentation Table

ATTRIBUTE DETAILS

Study Period 2019-2032

Base Year 2023

Estimated Year 2024

Forecast Period 2024-2032

Historical Period 2019-2022

Unit Value (USD billion)

Growth Rate Growth Rate of 26.9% from 2024 to 2032

Segmentation By Deployment

Cloud

On-premise

By Type

On-field

Athlete Management
Performance Management
Personalized Coaching
Health Management
Sports Integrity Management
Others (Injury Risk Analysis, etc.)

Off-field

Ticketing, Sponsorships, and Advertising
Fan Experience
Others (Betting, etc.)

By Solution

Video Analytics

Bio Analytics

Smart Wearable Technology

Others (Synchronized Multi-Angle Replay Technology (SMART), etc.)

By Technology

AI

Big Data

Others (Real Time Monitoring System, etc.)

By End-user

Team

Individual

By Region

North America (By Deployment, By Type, By Solution, By Technology, By End-user, and By Country)

U.S. (By Solution)
Canada (By Solution)
Mexico (By Solution)

South America (By Deployment, By Type, By Solution, By Technology, By End-user, and By Country)

Brazil (By Solution)
Argentina (By Solution)
Rest of South America

Europe (By Deployment, By Type, By Solution, By Technology, By End-user, and By Country)

U.K. (By Solution)
Germany (By Solution)
France (By Solution)
Italy (By Solution)
Spain (By Solution)
Russia (By Solution)
Benelux (By Solution)
Nordics (By Solution)
Rest of Europe

Middle East & Africa (By Deployment, By Type, By Solution, By Technology, By End-user, and By Country)

Turkey (By Solution)
Israel (By Solution)
GCC (By Solution)
North Africa (By Solution)
South Africa (By Solution)
Rest of the Middle East & Africa

Asia Pacific (By Deployment, By Type, By Solution, By Technology, By End-user, and By Country)

China (By Solution)
India (By Solution)
Japan (By Solution)
South Korea (By Solution)
ASEAN (By Solution)
Oceania (By Solution)
Rest of Asia Pacific

1. Introduction: 1.1. Definition, By Segment; 1.2. Research Methodology/Approach; 1.3. Data Sources
2. Executive Summary
3. Market Dynamics: 3.1. Macro and Micro Economic Indicators; 3.2. Drivers, Restraints, Opportunities and Trends
4. Competition Landscape: 4.1. Business Strategies Adopted by Key Players; 4.2. Consolidated SWOT Analysis of Key Players; 4.3. Global Sports Analytics Key Players Market Share/Ranking, 2023
5. Global Sports Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032: 5.1. Key Findings; 5.2. By Deployment (USD); 5.2.1. Cloud; 5.2.2. On-premise; 5.3. By Type (USD); 5.3.1. On-field; 5.3.1.1. Athlete Management; 5.3.1.2. Performance Management; 5.3.1.3. Personalized Coaching; 5.3.1.4. Health Management; 5.3.1.5. Sports Integrity Management; 5.3.1.6. Others (Injury risk analysis, etc.); 5.3.2. Off-field; 5.3.2.1. Ticketing, sponsorships and advertising; 5.3.2.2. Fan experience; 5.3.2.3. Others (Betting, etc.); 5.4. By Solution (USD); 5.4.1. Video Analytics; 5.4.2. Bio Analytics; 5.4.3. Smart Wearable Technology; 5.4.4. Others (Synchronized Multi-Angle Replay Technology (SMART), etc.); 5.5. By Technology (USD); 5.5.1. AI; 5.5.2. Big Data; 5.5.3. Others (Real Time Monitoring System, etc.); 5.6. By End-user (USD); 5.6.1. Team; 5.6.2. Individual; 5.7. By Region (USD); 5.7.1. North America; 5.7.2. South America; 5.7.3. Europe; 5.7.4. Middle East and Africa; 5.7.5. Asia Pacific
6. North America Sports Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032: 6.1. Key Findings; 6.2. By Deployment (USD); 6.2.1. Cloud; 6.2.2. On-premise; 6.3. By Type (USD); 6.3.1. On-field; 6.3.1.1. Athlete Management; 6.3.1.2. Performance Management; 6.3.1.3. Personalized Coaching; 6.3.1.4. Health Management; 6.3.1.5. Sports Integrity Management; 6.3.1.6. Others (Injury risk analysis, etc.); 6.3.2. Off-field; 6.3.2.1. Ticketing, sponsorships and advertising; 6.3.2.2. Fan experience; 6.3.2.3. Others (Betting, etc.); 6.4. By Solution (USD); 6.4.1. Video Analytics; 6.4.2. Bio Analytics; 6.4.3. Smart Wearable Technology; 6.4.4. Others (Synchronized Multi-Angle Replay Technology (SMART), etc.); 6.5. By Technology (USD); 6.5.1. AI; 6.5.2. Big Data; 6.5.3. Others (Real Time Monitoring System, etc.); 6.6. By End-user (USD); 6.6.1. Team; 6.6.2. Individual; 6.7. By Country (USD); 6.7.1. United States; 6.7.1.1. Solution; 6.7.2. Canada; 6.7.2.1. Solution; 6.7.3. Mexico; 6.7.3.1. Solution
7. South America Sports Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032: 7.1. Key Findings; 7.2. By Deployment (USD); 7.2.1. Cloud; 7.2.2. On-premise; 7.3. By Type (USD); 7.3.1. On-field; 7.3.1.1. Athlete Management; 7.3.1.2. Performance Management; 7.3.1.3. Personalized Coaching; 7.3.1.4. Health Management; 7.3.1.5. Sports Integrity Management; 7.3.1.6. Others (Injury risk analysis, etc.); 7.3.2. Off-field; 7.3.2.1. Ticketing, sponsorships and advertising; 7.3.2.2. Fan experience; 7.3.2.3. Others (Betting, etc.); 7.4. By Solution (USD); 7.4.1. Video Analytics; 7.4.2. Bio Analytics; 7.4.3. Smart Wearable Technology; 7.4.4. Others (Synchronized Multi-Angle Replay Technology (SMART), etc.); 7.5. By Technology (USD); 7.5.1. AI; 7.5.2. Big Data; 7.5.3. Others (Real Time Monitoring System, etc.); 7.6. By End-user (USD); 7.6.1. Team; 7.6.2. Individual; 7.7. By Country (USD); 7.7.1. Brazil; 7.7.1.1. Solution; 7.7.2. Argentina; 7.7.2.1. Solution; 7.7.3. Rest of South America
8. Europe Sports Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032: 8.1. Key Findings; 8.2. By Deployment (USD); 8.2.1. Cloud; 8.2.2. On-premise; 8.3. By Type (USD); 8.3.1. On-field; 8.3.1.1. Athlete Management; 8.3.1.2. Performance Management; 8.3.1.3. Personalized Coaching; 8.3.1.4. Health Management; 8.3.1.5. Sports Integrity Management; 8.3.1.6. Others (Injury risk analysis, etc.); 8.3.2. Off-field; 8.3.2.1. Ticketing, sponsorships and advertising; 8.3.2.2. Fan experience; 8.3.2.3. Others (Betting, etc.); 8.4. By Solution (USD); 8.4.1. Video Analytics; 8.4.2. Bio Analytics; 8.4.3. Smart Wearable Technology; 8.4.4. Others (Synchronized Multi-Angle Replay Technology (SMART), etc.); 8.5. By Technology (USD); 8.5.1. AI; 8.5.2. Big Data; 8.5.3. Others (Real Time Monitoring System, etc.); 8.6. By End-user (USD); 8.6.1. Team; 8.6.2. Individual; 8.7. By Country (USD); 8.7.1. United Kingdom; 8.7.1.1. Solution; 8.7.2. Germany; 8.7.2.1. Solution; 8.7.3. France; 8.7.3.1. Solution; 8.7.4. Italy; 8.7.4.1. Solution; 8.7.5. Spain; 8.7.5.1. Solution; 8.7.6. Russia; 8.7.6.1. Solution; 8.7.7. Benelux; 8.7.7.1. Solution; 8.7.8. Nordics; 8.7.8.1. Solution; 8.7.9. Rest of Europe
9. Middle East & Africa Sports Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032: 9.1. Key Findings; 9.2. By Deployment (USD); 9.2.1. Cloud; 9.2.2. On-premise; 9.3. By Type (USD); 9.3.1. On-field; 9.3.1.1. Athlete Management; 9.3.1.2. Performance Management; 9.3.1.3. Personalized Coaching; 9.3.1.4. Health Management; 9.3.1.5. Sports Integrity Management; 9.3.1.6. Others (Injury risk analysis, etc.); 9.3.2. Off-field; 9.3.2.1. Ticketing, sponsorships and advertising; 9.3.2.2. Fan experience; 9.3.2.3. Others (Betting, etc.); 9.4. By Solution (USD); 9.4.1. Video Analytics; 9.4.2. Bio Analytics; 9.4.3. Smart Wearable Technology; 9.4.4. Others (Synchronized Multi-Angle Replay Technology (SMART), etc.); 9.5. By Technology (USD); 9.5.1. AI; 9.5.2. Big Data; 9.5.3. Others (Real Time Monitoring System, etc.); 9.6. By End-user (USD); 9.6.1. Team; 9.6.2. Individual; 9.7. By Country (USD); 9.7.1. Turkey; 9.7.1.1. Solution; 9.7.2. Israel; 9.7.2.1. Solution; 9.7.3. GCC; 9.7.3.1. Solution; 9.7.4. North Africa; 9.7.4.1. Solution; 9.7.5. South Africa; 9.7.5.1. Solution; 9.7.6. Rest of Middle East & Africa
10. Asia Pacific Sports Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032: 10.1. Key Findings; 10.2. By Deployment (USD); 10.2.1. Cloud; 10.2.2. On-premise; 10.3. By Type (USD); 10.3.1. On-field; 10.3.1.1. Athlete Management; 10.3.1.2. Performance Management; 10.3.1.3. Personalized Coaching; 10.3.1.4. Health Management; 10.3.1.5. Sports Integrity Management; 10.3.1.6. Others (Injury risk analysis, etc.); 10.3.2. Off-field; 10.3.2.1. Ticketing, sponsorships and advertising; 10.3.2.2. Fan experience; 10.3.2.3. Others (Betting, etc.); 10.4. By Solution (USD); 10.4.1. Video Analytics; 10.4.2. Bio Analytics; 10.4.3. Smart Wearable Technology; 10.4.4. Others (Synchronized Multi-Angle Replay Technology (SMART), etc.); 10.5. By Technology (USD); 10.5.1. AI; 10.5.2. Big Data; 10.5.3. Others (Real Time Monitoring System, etc.); 10.6. By End-user (USD); 10.6.1. Team; 10.6.2. Individual; 10.7. By Country (USD); 10.7.1. China; 10.7.1.1. Solution; 10.7.2. Japan; 10.7.2.1. Solution; 10.7.3. India; 10.7.3.1. Solution; 10.7.4. South Korea; 10.7.4.1. Solution; 10.7.5. ASEAN; 10.7.5.1. Solution; 10.7.6. Oceania; 10.7.6.1. Solution; 10.7.7. Rest of Asia Pacific
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases): 11.1. Oracle Corporation; 11.1.1. Overview; 11.1.1.1. Key Management; 11.1.1.2. Headquarters; 11.1.1.3. Offerings/Business Segments; 11.1.2. Key Details (Key details are consolidated data and not product/service specific); 11.1.2.1. Employee Size; 11.1.2.2. Past and Current Revenue; 11.1.2.3. Geographical Share; 11.1.2.4. Business Segment Share; 11.1.2.5. Recent Developments; 11.2. WHOOP; 11.2.1. Overview; 11.2.1.1. Key Management; 11.2.1.2. Headquarters; 11.2.1.3. Offerings/Business Segments; 11.2.2. Key Details (Key details are consolidated data and not product/service specific); 11.2.2.1. Employee Size; 11.2.2.2. Past and Current Revenue; 11.2.2.3. Geographical Share; 11.2.2.4. Business Segment Share; 11.2.2.5. Recent Developments; 11.3. SAP SE; 11.3.1. Overview; 11.3.1.1. Key Management; 11.3.1.2. Headquarters; 11.3.1.3. Offerings/Business Segments; 11.3.2. Key Details (Key details are consolidated data and not product/service specific); 11.3.2.1. Employee Size; 11.3.2.2. Past and Current Revenue; 11.3.2.3. Geographical Share; 11.3.2.4. Business Segment Share; 11.3.2.5. Recent Developments; 11.4. Catapult; 11.4.1. Overview; 11.4.1.1. Key Management; 11.4.1.2. Headquarters; 11.4.1.3. Offerings/Business Segments; 11.4.2. Key Details (Key details are consolidated data and not product/service specific); 11.4.2.1. Employee Size; 11.4.2.2. Past and Current Revenue; 11.4.2.3. Geographical Share; 11.4.2.4. Business Segment Share; 11.4.2.5. Recent Developments; 11.5. IBM Corporation; 11.5.1. Overview; 11.5.1.1. Key Management; 11.5.1.2. Headquarters; 11.5.1.3. Offerings/Business Segments; 11.5.2. Key Details (Key details are consolidated data and not product/service specific); 11.5.2.1. Employee Size; 11.5.2.2. Past and Current Revenue; 11.5.2.3. Geographical Share; 11.5.2.4. Business Segment Share; 11.5.2.5. Recent Developments; 11.6. SAS Institute Inc.; 11.6.1. Overview; 11.6.1.1. Key Management; 11.6.1.2. Headquarters; 11.6.1.3. Offerings/Business Segments; 11.6.2. Key Details (Key details are consolidated data and not product/service specific); 11.6.2.1. Employee Size; 11.6.2.2. Past and Current Revenue; 11.6.2.3. Geographical Share; 11.6.2.4. Business Segment Share; 11.6.2.5. Recent Developments; 11.7. Sportradar AG; 11.7.1. Overview; 11.7.1.1. Key Management; 11.7.1.2. Headquarters; 11.7.1.3. Offerings/Business Segments; 11.7.2. Key Details (Key details are consolidated data and not product/service specific); 11.7.2.1. Employee Size; 11.7.2.2. Past and Current Revenue; 11.7.2.3. Geographical Share; 11.7.2.4. Business Segment Share; 11.7.2.5. Recent Developments; 11.8. Kitman Labs; 11.8.1. Overview; 11.8.1.1. Key Management; 11.8.1.2. Headquarters; 11.8.1.3. Offerings/Business Segments; 11.8.2. Key Details (Key details are consolidated data and not product/service specific); 11.8.2.1. Employee Size; 11.8.2.2. Past and Current Revenue; 11.8.2.3. Geographical Share; 11.8.2.4. Business Segment Share; 11.8.2.5. Recent Developments; 11.9. Stats Perform; 11.9.1. Overview; 11.9.1.1. Key Management; 11.9.1.2. Headquarters; 11.9.1.3. Offerings/Business Segments; 11.9.2. Key Details (Key details are consolidated data and not product/service specific); 11.9.2.1. Employee Size; 11.9.2.2. Past and Current Revenue; 11.9.2.3. Geographical Share; 11.9.2.4. Business Segment Share; 11.9.2.5. Recent Developments; 11.10. Orecco; 11.10.1. Overview; 11.10.1.1. Key Management; 11.10.1.2. Headquarters; 11.10.1.3. Offerings/Business Segments; 11.10.2. Key Details (Key details are consolidated data and not product/service specific); 11.10.2.1. Employee Size; 11.10.2.2. Past and Current Revenue; 11.10.2.3. Geographical Share; 11.10.2.4. Business Segment Share; 11.10.2.5. Recent Developments