Selected research
Market Analysis & Forecast
Global Sports AI Market Analysis and Forecast 2026-2032
Market perspective
The global Sports AI market is projected to grow from US$ million in 2026 to US$ million by 2032, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The North America market for Sports AI is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Europe market for Sports AI is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Read the full market overview
Asia-Pacific market for Sports AI is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The China market for Sports AI is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The major global companies of Sports AI include Azumio, FitBit, Jawbone, FitnessKeeper, MapMyFitness, Inc. (Under Armour), Adidas Runtastic, Daily Workouts Apps, Fooducate (Maple Media LL) and Google Fit, etc. In 2025, the world's top three vendors accounted for approximately % of the revenue.
Report Includes
This report presents an overview of global market for Sports AI, market size. Analyses of the global market trends, with historic market revenue data for 2021 - 2025, estimates for 2026, and projections of CAGR through 2032.
This report researches the key producers of Sports AI, also provides the revenue of main regions and countries. Of the upcoming market potential for Sports AI, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Sports AI revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global Sports AI market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2021 to 2032. Evaluation and forecast the market size for Sports AI revenue, projected growth trends, production technology, application and end-user industry.
Sports AI Segment by Company
Azumio
FitBit
Jawbone
FitnessKeeper
MapMyFitness, Inc. (Under Armour)
Adidas Runtastic
Daily Workouts Apps
Fooducate (Maple Media LL)
Google Fit
Bending Spoons
Nike
Noom
Polar Electro
Sports AI Segment by Type
Android
iOS
Sports AI Segment by Application
Lifestyle Monitoring
Health Monitoring
Other
Sports AI Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Sports AI market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Sports AI and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in market size), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Sports AI.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Revenue of Sports AI in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 4: Detailed analysis of Sports AI company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Sports AI revenue, gross margin, and recent development, etc.
Chapter 8: North America by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Android
- iOS
Applications
- Lifestyle Monitoring
- Health Monitoring
- Other
Companies covered
- Azumio
- FitBit
- Jawbone
- FitnessKeeper
- MapMyFitness, Inc. (Under Armour)
- Adidas Runtastic
- Daily Workouts Apps
- Fooducate (Maple Media LL)
- Google Fit
- Bending Spoons
- Nike
- Noom
- Polar Electro
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 Sports AI Market by Type
- 1.2.1 Global Sports AI Market Size by Type, 2021 VS 2025 VS 2032
- 1.2.2 Android
- 1.2.3 iOS
- 1.3 Sports AI Market by Application
- 1.3.1 Global Sports AI Market Size by Application, 2021 VS 2025 VS 2032
- 1.3.2 Lifestyle Monitoring
- 1.3.3 Health Monitoring
- 1.3.4 Other
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 Sports AI Market Dynamics
- 2.1 Sports AI Industry Trends
- 2.2 Sports AI Industry Drivers
- 2.3 Sports AI Industry Opportunities and Challenges
- 2.4 Sports AI Industry Restraints
3 Global Growth Perspective
- 3.1 Global Sports AI Market Perspective (2021-2032)
- 3.2 Global Sports AI Growth Trends by Region
- 3.2.1 Global Sports AI Market Size by Region: 2021 VS 2025 VS 2032
- 3.2.2 Global Sports AI Market Size by Region (2021-2026)
- 3.2.3 Global Sports AI Market Size by Region (2027-2032)
4 Competitive Landscape by Players
- 4.1 Global Sports AI Revenue by Players
- 4.1.1 Global Sports AI Revenue by Players (2021-2026)
- 4.1.2 Global Sports AI Revenue Market Share by Players (2021-2026)
- 4.1.3 Global Sports AI Players Revenue Share Top 10 and Top 5 in 2025
- 4.2 Global Sports AI Key Players Ranking, 2024 VS 2025 VS 2026
- 4.3 Global Sports AI Key Players Headquarters & Area Served
- 4.4 Global Sports AI Players, Product Type & Application
- 4.5 Global Sports AI Players Establishment Date
- 4.6 Market Competitive Analysis
- 4.6.1 Global Sports AI Market CR5 and HHI
- 4.6.3 2025 Sports AI Tier 1, Tier 2, and Tier 3
5 Sports AI Market Size by Type
- 5.1 Global Sports AI Revenue by Type (2021 VS 2025 VS 2032)
- 5.2 Global Sports AI Revenue by Type (2021-2032)
- 5.3 Global Sports AI Revenue Market Share by Type (2021-2032)
6 Sports AI Market Size by Application
- 6.1 Global Sports AI Revenue by Application (2021 VS 2025 VS 2032)
- 6.2 Global Sports AI Revenue by Application (2021-2032)
- 6.3 Global Sports AI Revenue Market Share by Application (2021-2032)
7 Company Profiles
- 7.1 Azumio
- 7.1.1 Azumio Company Information
- 7.1.2 Azumio Business Overview
- 7.1.3 Azumio Sports AI Revenue and Gross Margin (2021-2026)
- 7.1.4 Azumio Sports AI Product Portfolio
- 7.1.5 Azumio Recent Developments
- 7.2 FitBit
- 7.2.1 FitBit Company Information
- 7.2.2 FitBit Business Overview
- 7.2.3 FitBit Sports AI Revenue and Gross Margin (2021-2026)
- 7.2.4 FitBit Sports AI Product Portfolio
- 7.2.5 FitBit Recent Developments
- 7.3 Jawbone
- 7.3.1 Jawbone Company Information
- 7.3.2 Jawbone Business Overview
- 7.3.3 Jawbone Sports AI Revenue and Gross Margin (2021-2026)
- 7.3.4 Jawbone Sports AI Product Portfolio
- 7.3.5 Jawbone Recent Developments
- 7.4 FitnessKeeper
- 7.4.1 FitnessKeeper Company Information
- 7.4.2 FitnessKeeper Business Overview
- 7.4.3 FitnessKeeper Sports AI Revenue and Gross Margin (2021-2026)
- 7.4.4 FitnessKeeper Sports AI Product Portfolio
- 7.4.5 FitnessKeeper Recent Developments
- 7.5 MapMyFitness, Inc. (Under Armour)
- 7.5.1 MapMyFitness, Inc. (Under Armour) Company Information
- 7.5.2 MapMyFitness, Inc. (Under Armour) Business Overview
- 7.5.3 MapMyFitness, Inc. (Under Armour) Sports AI Revenue and Gross Margin (2021-2026)
- 7.5.4 MapMyFitness, Inc. (Under Armour) Sports AI Product Portfolio
- 7.5.5 MapMyFitness, Inc. (Under Armour) Recent Developments
- 7.6 Adidas Runtastic
- 7.6.1 Adidas Runtastic Company Information
- 7.6.2 Adidas Runtastic Business Overview
- 7.6.3 Adidas Runtastic Sports AI Revenue and Gross Margin (2021-2026)
- 7.6.4 Adidas Runtastic Sports AI Product Portfolio
- 7.6.5 Adidas Runtastic Recent Developments
- 7.7 Daily Workouts Apps
- 7.7.1 Daily Workouts Apps Company Information
- 7.7.2 Daily Workouts Apps Business Overview
- 7.7.3 Daily Workouts Apps Sports AI Revenue and Gross Margin (2021-2026)
- 7.7.4 Daily Workouts Apps Sports AI Product Portfolio
- 7.7.5 Daily Workouts Apps Recent Developments
- 7.8 Fooducate (Maple Media LL)
- 7.8.1 Fooducate (Maple Media LL) Company Information
- 7.8.2 Fooducate (Maple Media LL) Business Overview
- 7.8.3 Fooducate (Maple Media LL) Sports AI Revenue and Gross Margin (2021-2026)
- 7.8.4 Fooducate (Maple Media LL) Sports AI Product Portfolio
- 7.8.5 Fooducate (Maple Media LL) Recent Developments
- 7.9 Google Fit
- 7.9.1 Google Fit Company Information
- 7.9.2 Google Fit Business Overview
- 7.9.3 Google Fit Sports AI Revenue and Gross Margin (2021-2026)
- 7.9.4 Google Fit Sports AI Product Portfolio
- 7.9.5 Google Fit Recent Developments
- 7.10 Bending Spoons
- 7.10.1 Bending Spoons Company Information
- 7.10.2 Bending Spoons Business Overview
- 7.10.3 Bending Spoons Sports AI Revenue and Gross Margin (2021-2026)
- 7.10.4 Bending Spoons Sports AI Product Portfolio
- 7.10.5 Bending Spoons Recent Developments
- 7.11 Nike
- 7.11.1 Nike Company Information
- 7.11.2 Nike Business Overview
- 7.11.3 Nike Sports AI Revenue and Gross Margin (2021-2026)
- 7.11.4 Nike Sports AI Product Portfolio
- 7.11.5 Nike Recent Developments
- 7.12 Noom
- 7.12.1 Noom Company Information
- 7.12.2 Noom Business Overview
- 7.12.3 Noom Sports AI Revenue and Gross Margin (2021-2026)
- 7.12.4 Noom Sports AI Product Portfolio
- 7.12.5 Noom Recent Developments
- 7.13 Polar Electro
- 7.13.1 Polar Electro Company Information
- 7.13.2 Polar Electro Business Overview
- 7.13.3 Polar Electro Sports AI Revenue and Gross Margin (2021-2026)
- 7.13.4 Polar Electro Sports AI Product Portfolio
- 7.13.5 Polar Electro Recent Developments
8 North America
- 8.1 North America Sports AI Revenue (2021-2032)
- 8.2 North America Sports AI Revenue by Type (2021-2032)
- 8.2.1 North America Sports AI Revenue by Type (2021-2026)
- 8.2.2 North America Sports AI Revenue by Type (2027-2032)
- 8.3 North America Sports AI Revenue Share by Type (2021-2032)
- 8.4 North America Sports AI Revenue by Application (2021-2032)
- 8.4.1 North America Sports AI Revenue by Application (2021-2026)
- 8.4.2 North America Sports AI Revenue by Application (2027-2032)
- 8.5 North America Sports AI Revenue Share by Application (2021-2032)
- 8.6 North America Sports AI Revenue by Country
- 8.6.1 North America Sports AI Revenue by Country (2021 VS 2025 VS 2032)
- 8.6.2 North America Sports AI Revenue by Country (2021-2026)
- 8.6.3 North America Sports AI Revenue by Country (2027-2032)
- 8.6.4 United States
- 8.6.5 Canada
- 8.6.6 Mexico
9 Europe
- 9.1 Europe Sports AI Revenue (2021-2032)
- 9.2 Europe Sports AI Revenue by Type (2021-2032)
- 9.2.1 Europe Sports AI Revenue by Type (2021-2026)
- 9.2.2 Europe Sports AI Revenue by Type (2027-2032)
- 9.3 Europe Sports AI Revenue Share by Type (2021-2032)
- 9.4 Europe Sports AI Revenue by Application (2021-2032)
- 9.4.1 Europe Sports AI Revenue by Application (2021-2026)
- 9.4.2 Europe Sports AI Revenue by Application (2027-2032)
- 9.5 Europe Sports AI Revenue Share by Application (2021-2032)
- 9.6 Europe Sports AI Revenue by Country
- 9.6.1 Europe Sports AI Revenue by Country (2021 VS 2025 VS 2032)
- 9.6.2 Europe Sports AI Revenue by Country (2021-2026)
- 9.6.3 Europe Sports AI Revenue by Country (2027-2032)
- 9.6.4 Germany
- 9.6.5 France
- 9.6.6 U.K.
- 9.6.7 Italy
- 9.6.8 Russia
- 9.6.9 Spain
- 9.6.10 Netherlands
- 9.6.11 Switzerland
- 9.6.12 Sweden
- 9.6.13 Poland
10 China
- 10.1 China Sports AI Revenue (2021-2032)
- 10.2 China Sports AI Revenue by Type (2021-2032)
- 10.2.1 China Sports AI Revenue by Type (2021-2026)
- 10.2.2 China Sports AI Revenue by Type (2027-2032)
- 10.3 China Sports AI Revenue Share by Type (2021-2032)
- 10.4 China Sports AI Revenue by Application (2021-2032)
- 10.4.1 China Sports AI Revenue by Application (2021-2026)
- 10.4.2 China Sports AI Revenue by Application (2027-2032)
- 10.5 China Sports AI Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
- 11.1 Asia Sports AI Revenue (2021-2032)
- 11.2 Asia Sports AI Revenue by Type (2021-2032)
- 11.2.1 Asia Sports AI Revenue by Type (2021-2026)
- 11.2.2 Asia Sports AI Revenue by Type (2027-2032)
- 11.3 Asia Sports AI Revenue Share by Type (2021-2032)
- 11.4 Asia Sports AI Revenue by Application (2021-2032)
- 11.4.1 Asia Sports AI Revenue by Application (2021-2026)
- 11.4.2 Asia Sports AI Revenue by Application (2027-2032)
- 11.5 Asia Sports AI Revenue Share by Application (2021-2032)
- 11.6 Asia Sports AI Revenue by Country
- 11.6.1 Asia Sports AI Revenue by Country (2021 VS 2025 VS 2032)
- 11.6.2 Asia Sports AI Revenue by Country (2021-2026)
- 11.6.3 Asia Sports AI Revenue by Country (2027-2032)
- 11.6.4 Japan
- 11.6.5 South Korea
- 11.6.6 India
- 11.6.7 Australia
- 11.6.8 Taiwan
- 11.6.9 Southeast Asia
12 South America, Middle East and Africa
- 12.1 SAMEA Sports AI Revenue (2021-2032)
- 12.2 SAMEA Sports AI Revenue by Type (2021-2032)
- 12.2.1 SAMEA Sports AI Revenue by Type (2021-2026)
- 12.2.2 SAMEA Sports AI Revenue by Type (2027-2032)
- 12.3 SAMEA Sports AI Revenue Share by Type (2021-2032)
- 12.4 SAMEA Sports AI Revenue by Application (2021-2032)
- 12.4.1 SAMEA Sports AI Revenue by Application (2021-2026)
- 12.4.2 SAMEA Sports AI Revenue by Application (2027-2032)
- 12.5 SAMEA Sports AI Revenue Share by Application (2021-2032)
- 12.6 SAMEA Sports AI Revenue by Country
- 12.6.1 SAMEA Sports AI Revenue by Country (2021 VS 2025 VS 2032)
- 12.6.2 SAMEA Sports AI Revenue by Country (2021-2026)
- 12.6.3 SAMEA Sports AI Revenue by Country (2027-2032)
- 12.6.4 Brazil
- 12.6.5 Argentina
- 12.6.6 Chile
- 12.6.7 Colombia
- 12.6.8 Peru
- 12.6.9 Saudi Arabia
- 12.6.10 Israel
- 12.6.11 UAE
- 12.6.12 Turkey
- 12.6.13 Iran
- 12.6.14 Egypt
13 Concluding Insights
14 Appendix
- 14.1 Reasons for Doing This Study
- 14.2 Research Methodology
- 14.3 Research Process
- 14.4 Authors List of This Report
- 14.5 Data Source
- 14.5.1 Secondary Sources
- 14.5.2 Primary Sources
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