Market Overview:
The global AI in sports market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth of the market can be attributed to the increasing demand for AI in sports applications, rising adoption of digital technologies by sporting organizations, and growing focus on player safety and performance. The global AI in sports market is segmented on the basis of type, application, and region. On the basis of type, the market is segmented into hardware, software, and services. The hardware segment accounted for a major share of the global AI in sports market in 2017 owing to increased adoption of advanced technologies by sporting organizations for enhancing player safety and performance.
Product Definition:
According to Wikipedia, "Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, AI research deals with the question of how to create computers that are capable of intelligent behaviour.
In the context of sports, AI can be used in a number of ways. For example, it can be used to help coaches make better decisions during games, as well as helping players improve their performance. Additionally, AI can also be used to monitor and analyze data from games in order to help teams improve their strategies for future matches.
Hardware:
Hardware is the machinery or devices used to execute a software. In case of AI in sports, hardware includes sensors, cameras, wearables and other gadgets that assist the players and provide data for analysis. The growth factor of this market is increasing with rising investments in research & development by companies as well as universities across the globe to develop advanced techniques for efficient performance enhancement using AI (Artificial Intelligence).
In 2018 alone, there were around 200 research papers on deep learning.
Software:
Software is the core technology used in Artificial Intelligence (AI) in sports. It helps the organization to analyze and process data for making informed decisions. The software provides analytical tools that can be used by coaches, players, and managers to monitor performance indicators such as passing accuracy, ball control, touch distribution and positioning among others.
Application Insights:
The application segment is segregated into seven sub-segments, namely cricket, football, basketball, tennis, baseball, other sports and games and AI in the Olympics. The cricket segment dominated the market with a share of over 40% in 2017. This can be attributed to growing popularity of this sport across countries such as India and Australia. Moreover, increasing investments by companies such as Google DeepMind Technologies (a subsidiary of Alphabet Inc.) are expected to boost growth over the forecast period. For instance; In January 2018 it was announced that Google had invested around USD 60 million for research partnership with Oxford University for developing an artificial intelligence system that can play competitively against humans at board game Go within five years.
AI has enabled real-time player tracking using cameras.
Regional Analysis:
North America dominated the global market in 2017. The region is expected to retain its dominance over the forecast period as well due to increasing investments by companies and adoption of advanced technologies across various sports. For instance, in September 2018, Microsoft Corporation acquired AI startup Nervana Systems Inc., for an undisclosed amount to bolster its cloud computing business.
Asia Pacific is anticipated to witness significant growth over the forecast period owing to rising popularity of sports activities such as cricket, football, badminton and basketball among others across countries such as China and India. In addition, increasing penetration of technology-based services including live streaming has been boosting regional market growth significantly since 2016. For instance; Amazon Web Services (AWS), a subsidiary of Amazon Inc., offers live video streaming services through AWS Elemental Media Streaming Service (EMS).
Growth Factors:
- Increasing demand for AI in sports analytics to improve player and team performance.
- Growing popularity of eSports and the use of AI for game analysis, training, and strategy development.
- Development of new AI-enabled technologies such as virtual reality (VR) and augmented reality (AR) that can be used to improve sports training, coaching, and fan experience.
- Advances in machine learning that can help identify patterns in player or team behavior for better decision-making support systems in sport organizations.
Scope Of The Report
Report Attributes
Report Details
Report Title
AI in Sports Market Research Report
By Type
Hardware, Software, Services
By Application
Cricket, Football, Basketball, Tennis, Baseball, Others
By Companies
24/7.ai Inc., Amazon Inc., Apple Inc., Anodot, Facebook Inc., Fujitsu Ltd., Cisco Systems, DeepScale, Atmel Corporation, ARM Limited, Microsoft Corporation, Micron Technology
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
245
Number of Tables & Figures
172
Customization Available
Yes, the report can be customized as per your need.
Global AI in Sports Market Report Segments:
The global AI in Sports market is segmented on the basis of:
Types
Hardware, Software, Services
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Cricket, Football, Basketball, Tennis, Baseball, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- 24/7.ai Inc.
- Amazon Inc.
- Apple Inc.
- Anodot
- Facebook Inc.
- Fujitsu Ltd.
- Cisco Systems
- DeepScale
- Atmel Corporation
- ARM Limited
- Microsoft Corporation
- Micron Technology
Highlights of The AI in Sports Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Hardware
- Software
- Services
- By Application:
- Cricket
- Football
- Basketball
- Tennis
- Baseball
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the AI in Sports Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
AI in sports refers to the use of artificial intelligence technology in order to improve decision making and performance. This can be done through a number of different methods, including but not limited to:nn-Machine learning algorithms that help coaches and players make better decisions on game day; n-Developing predictive models that can identify player tendencies before they happen; n-Creating chatbots or other automated systems that provide feedback on player performance.
Some of the major players in the ai in sports market are 24/7.ai Inc., Amazon Inc., Apple Inc., Anodot, Facebook Inc., Fujitsu Ltd., Cisco Systems, DeepScale, Atmel Corporation, ARM Limited, Microsoft Corporation, Micron Technology.
The ai in sports market is expected to grow at a compound annual growth rate of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI in Sports Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 AI in Sports Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 AI in Sports Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the AI in Sports Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global AI in Sports Market Size & Forecast, 2018-2028 4.5.1 AI in Sports Market Size and Y-o-Y Growth 4.5.2 AI in Sports Market Absolute $ Opportunity
Chapter 5 Global AI in Sports Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 AI in Sports Market Size Forecast by Type
5.2.1 Hardware
5.2.2 Software
5.2.3 Services
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global AI in Sports Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 AI in Sports Market Size Forecast by Applications
6.2.1 Cricket
6.2.2 Football
6.2.3 Basketball
6.2.4 Tennis
6.2.5 Baseball
6.2.6 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI in Sports Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 AI in Sports Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America AI in Sports Analysis and Forecast
9.1 Introduction
9.2 North America AI in Sports Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America AI in Sports Market Size Forecast by Type
9.6.1 Hardware
9.6.2 Software
9.6.3 Services
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America AI in Sports Market Size Forecast by Applications
9.10.1 Cricket
9.10.2 Football
9.10.3 Basketball
9.10.4 Tennis
9.10.5 Baseball
9.10.6 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe AI in Sports Analysis and Forecast
10.1 Introduction
10.2 Europe AI in Sports Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe AI in Sports Market Size Forecast by Type
10.6.1 Hardware
10.6.2 Software
10.6.3 Services
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe AI in Sports Market Size Forecast by Applications
10.10.1 Cricket
10.10.2 Football
10.10.3 Basketball
10.10.4 Tennis
10.10.5 Baseball
10.10.6 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific AI in Sports Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific AI in Sports Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific AI in Sports Market Size Forecast by Type
11.6.1 Hardware
11.6.2 Software
11.6.3 Services
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific AI in Sports Market Size Forecast by Applications
11.10.1 Cricket
11.10.2 Football
11.10.3 Basketball
11.10.4 Tennis
11.10.5 Baseball
11.10.6 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America AI in Sports Analysis and Forecast
12.1 Introduction
12.2 Latin America AI in Sports Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America AI in Sports Market Size Forecast by Type
12.6.1 Hardware
12.6.2 Software
12.6.3 Services
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America AI in Sports Market Size Forecast by Applications
12.10.1 Cricket
12.10.2 Football
12.10.3 Basketball
12.10.4 Tennis
12.10.5 Baseball
12.10.6 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) AI in Sports Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) AI in Sports Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) AI in Sports Market Size Forecast by Type
13.6.1 Hardware
13.6.2 Software
13.6.3 Services
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) AI in Sports Market Size Forecast by Applications
13.10.1 Cricket
13.10.2 Football
13.10.3 Basketball
13.10.4 Tennis
13.10.5 Baseball
13.10.6 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 AI in Sports Market: Competitive Dashboard
14.2 Global AI in Sports Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 24/7.ai Inc.
14.3.2 Amazon Inc.
14.3.3 Apple Inc.
14.3.4 Anodot
14.3.5 Facebook Inc.
14.3.6 Fujitsu Ltd.
14.3.7 Cisco Systems
14.3.8 DeepScale
14.3.9 Atmel Corporation
14.3.10 ARM Limited
14.3.11 Microsoft Corporation
14.3.12 Micron Technology