The Sports Analytics Market size was valued at USD 1.11 billion in 2022 and is expected to grow to USD 6.78 billion By 2030 and grow at a CAGR of 25.4% over the forecast period of 2023-2030.
The practice of analyzing sports data, which includes player performance, business operations, and recruitment, is known as sports analytics. This data provides a competitive edge to both individuals and teams participating in sports competitions, as well as sports enterprises. Sports analytics involves the application of mathematical and statistical principles to sports, and it is divided into two categories on-field and off-field analytics. On-field analytics is concerned with improving the performance of players and coaches by analyzing their plans and fitness. This type of analysis can help teams identify areas for improvement and make data-driven decisions to optimize their performance. Off-field analytics, on the other hand, uses statistical analysis to assist sports entity owners in making decisions that lead to increased growth and profitability of their business. By leveraging sports analytics, teams, and sports enterprises can gain a deeper understanding of their performance and make informed decisions to improve their outcomes. Whether it's analyzing player performance or identifying new business opportunities, sports analytics is a powerful tool that can help individuals and organizations achieve their goals.
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Drivers
Big data utilization is increasing, along with other related technologies.
In the field of sports, advanced analysis and predictive modeling can surpass conventional custom/legacy analysis. Business operations have changed as a result of technologies like AI and ML, which provide better outputs or results than outdated analytical techniques. Tracking tools and machine learning has brought sports analytics to the next level. Utilizing video data, businesses can conduct statistical analytics to help coaches call plays more effectively during games or to provide game-day learnings. Others use cameras and artificial intelligence to track player movement, ball speeds, and spin rates, which are routinely used By teams and broadcasters when making decisions. Baseball players frequently use iPads to examine data such as pitch distributions and make adjustments in the middle of games, for instance.
Restrains
Lack of knowledge of the advantages of sports analytics solutions
Sports analytics is still an underestimated field, but it will become more important in the future. While businesses in North America and Europe, which have seen the introduction of cutting-edge technologies, have shown an increasing interest in these technologies to boost performance, the adoption of analytics and other technologies has lagged in these regions due to low technology penetration and strict political constraints. Sports organizations all over the world still rely on conventional methods of analysis and use former athletes or athletes who have retired as coaches to guide their teams and physiotherapists to assess the health of their players. All of these things limit the market's ability to expand for sports analytics.
Opportunities
Internet proliferation and greater use of connected and integrated technologies (AI, ML)
Challenges
a scarcity of professionals with analytical skills
An increase in the use of AI-based solutions will boost market expansion.
The operating activities of all firms were significantly impacted by the pandemic. Online solutions become the last choice for sports organizations. Numerous businesses have already put these solutions for sportsmen into place with the use of AI-based technology in order to improve the fan experience and get special insights. However, the COVID-19 pandemic temporarily stopped the market, which reduced sales growth in 2020. The organizations were considering improving and refining sports analytics, which would help the businesses thrive. As a result, the solutions' deployment aided in providing customers with actionable intelligence so they could tailor interferences to the particular demands of their athletes. The COVID-19 pandemic is intended to accelerate the adoption of digital technologies including AI, automation, digitization, and big data. The industry may embrace AI-based software for core sports analytics even more quickly than anticipated as a result of the increasing market readiness for such purchases, which might result in higher AI and overall revenue growth in the upcoming years. As a result, the aforementioned reasons will fuel the expansion of the sports analytics industry.
The Sports Analytics Market is segmented into five types on the basis of By component, By sports type, By analysis type, By sports, and By End-users.
By Component:
software
Services
By Sports Type:
Individual Sports
Teams Sports
eSports
By Analysis Type:
On-field
Off-field
By Sports:
Cricket
Football
Basketball
Baseball
Hockey
Other Sports
By End Users:
Sports Associations
Sports Teams
Other End Users
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In 2021, North America has a huge market share. The market in North America is anticipated to be driven by the rising demand for video analysis and AI technology in sports, as well as the rising investments made in the region By organizations such as the National Football League (NFL), Major League Baseball (MLB), and National Basketball Association (NBA). To meet customer expectations and acquire a competitive edge, the top sports analytics businesses, such as Tableau Software, LLC, SAP SE, and IBM Corporation, are making significant investments in R&D.
A significant increase is anticipated in the Asia Pacific region during the projection period. Due to their developed sporting cultures, the nations of Japan, India, and China are expected to enjoy high demand. New sports leagues, large investments in sports, and digitalization are all expected to have a big impact on market growth.
In the regional analysis study of the regions of North America, Europe, Asia Pacific middle east, and Africa.
REGIONAL COVERAGE:
North America
USA
Canada
Mexico
Europe
Germany
UK
France
Italy
Spain
The Netherlands
Rest of Europe
Asia-Pacific
Japan
South Korea
China
India
Australia
Rest of Asia-Pacific
The Middle East & Africa
Israel
UAE
South Africa
Rest of the Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin America
The major players in the market are Oracle Corporation, ChyronHego, IBM Corporation, Salesforce, SAS Institute, Exasol, HCL, Sportradar AG, Uplift Labs, Genius Sports Group, Sporting Algorithms, Quants4sports, Deltatre, Kitman Labs, Catapult, Zebra Technologies, L2P Limited and others in the final report.
In order to increase its investment in data science, technology, and scale capacity and to support its growth goal, Catapult Group purchased SBG Sports, a sports data firm with headquarters in the United Kingdom, in June 2021.
Red Bull Racing selected Oracle as its official cloud infrastructure partner in March 2021. To improve the use of information throughout its businesses, Red Bull will take advantage of Oracle Cloud Infrastructure's (OCI) data analytics and machine learning capabilities. The OCI-driven skills will help the team strengthen its already strong competitive edge.
| Report Attributes | Details |
| Market Size in 2022 | US$ 1.11 Bn |
| Market Size by 2030 | US$ 6.78 Bn |
| CAGR | CAGR of 25.4% From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Component (Software, Services) • By Sports Type (Individual Sports, Teams Sports, eSports) • By Analysis Type (On-field, Off-field) By Sports (Cricket, Football, Basketball, Baseball, Hockey, Other Sports) • By End Users (Sports Associations, Sports Teams, Others) |
| Regional Analysis/Coverage | North America (USA, Canada, Mexico), Europe (Germany, UK, France, Italy, Spain, Netherlands, Rest of Europe), Asia-Pacific (Japan, South Korea, China, India, Australia, Rest of Asia-Pacific), The Middle East & Africa (Israel, UAE, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
| Company Profiles | Oracle Corporation, ChyronHego, IBM Corporation, Salesforce, SAS Institute, Exasol, HCL, Sportradar AG, Uplift Labs, Genius Sports Group, Sporting Algorithms, Quants4sports, Deltatre, Kitman Labs, Catapult, Zebra Technologies, L2P Limited |
| Key Drivers | • Big data utilization is increasing, along with other related technologies. |
| Market Opportunities | • Internet proliferation and greater use of connected and integrated technologies (AI, ML) |
The CAGR of the Sports Analytics Market for the forecast period 2022-2030 is 25.4 %.
The market is expected to grow to USD 6.78 billion by the forecast period of 2030.
The major worldwide key players in the Sports Analytics Market are Oracle Corporation, ChyronHego, IBM Corporation, Salesforce, SAS Institute, and others in the final report.
USD 1.11 billion in 2022 is the market share of the Sports Analytics Market.
The forecast period for the Sports Analytics Market is 2022-2030.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 COVID-19 Impact Analysis
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Sports Analytics Market Segmentation, By Component
8.1 software
8.2 Services
9.Sports Analytics Market Segmentation, By Sports Type
9.1 Individual Sports
9.2 Teams Sports
9.3 eSports
10. Sports Analytics Market Segmentation, By Analysis Type
10.1 On-field
10.2 Off-field
11. Sports Analytics Market Segmentation, By Sports
11.1 Cricket
11.2 Football
11.3 Basketball
11.4 Baseball
11.5 Hockey
11.6 Other Sports
12. Sports Analytics Market Segmentation, By End Users
12.1 Sports Associations
12.2 Sports Teams
12.3 Others
13.Regional Analysis
13.1 Introduction
13.2 North America
13.2.1 North America Sports Analytics Market By Country
13.2.2North America Sports Analytics Market By Component
13.2.3 North America Sports Analytics Market By Sports Type
13.2.4 North America Sports Analytics Market By Analysis Type
13.2.5 North America Sports Analytics Market By Sports
13.2.6 North America Sports Analytics Market By End Users
13.2.7 USA
13.2.7.1 USA Sports Analytics Market By Component
13.2.7.2 USA Sports Analytics Market By Sports Type
13.2.7.3 USA Sports Analytics Market By Analysis Type
13.2.7.4 USA Sports Analytics Market By Sports
13.2.7.5 USA Sports Analytics Market By End Users
13.2.8 Canada
13.2.8.1 Canada Sports Analytics Market By Component
13.2.8.2 Canada Sports Analytics Market By Sports Type
13.2.8.3 Canada Sports Analytics Market By Analysis Type
13.2.8.4 Canada Sports Analytics Market By Sports
13.2.8.5 Canada Sports Analytics Market By End Users
13.2.9 Mexico
13.2.9.1 Mexico Sports Analytics Market By Component
13.2.9.2 Mexico Sports Analytics Market By Sports Type
13.2.9.3 Mexico Sports Analytics Market By Analysis Type
13.2.9.4 Mexico Sports Analytics Market By Sports
13.2.9.5 Mexico Sports Analytics Market By End Users
13.3 Europe
13.3.1 Europe Sports Analytics Market By country
13.3.2 Europe Sports Analytics Market By Component
13.3.3 Europe Sports Analytics Market By Sports Type
13.3.4 Europe Sports Analytics Market By Analysis Type
13.3.5 Europe Sports Analytics Market By Sports
13.3.6 Europe Sports Analytics Market By End Users
13.3.7 Germany
13.3.7.1 Germany Sports Analytics Market By Component
13.3.7.2 Germany Sports Analytics Market By Sports Type
13.3.7.3 Germany Sports Analytics Market By Analysis Type
13.3.7.4 Germany Sports Analytics Market By Sports
13.3.7.5 Germany Sports Analytics Market By End Users
13.3.8 UK
13.3.8.1 UK Sports Analytics Market By Component
13.3.8.2 UK Sports Analytics Market By Sports Type
13.3.8.3 UK Sports Analytics Market By Analysis Type
13.3.8.4 UK Sports Analytics Market By Sports
13.3.8.5 UK Sports Analytics Market By End Users
13.3.9 France
13.3.9.1 France Sports Analytics Market By Component
13.3.9.2 France Sports Analytics Market By Sports Type
13.3.9.3 France Sports Analytics Market By Analysis Type
13.3.9.4 France Sports Analytics Market By Sports
13.3.9.5 France Sports Analytics Market By End Users
13.3.10 Italy
13.3.10.1 Italy Sports Analytics Market By Component
13.3.10.2 Italy Sports Analytics Market By Sports Type
13.3.10.3 Italy Sports Analytics Market By Analysis Type
13.3.10.4 Italy Sports Analytics Market By Sports
13.3.10.5 Italy Sports Analytics Market By End Users
13.3.11 Spain
13.3.11.1 Spain Sports Analytics Market By Component
13.3.11.2 Spain Sports Analytics Market By Sports Type
13.3.11.3 Spain Sports Analytics Market By Analysis Type
13.3.11.4 Spain Sports Analytics Market By Sports
13.3.11.5 Spain Sports Analytics Market By End Users
13.3.12 The Netherlands
13.3.12.1 Netherlands Sports Analytics Market By Component
13.3.12.2 Netherlands Sports Analytics Market By Sports Type
13.3.12.3 Netherlands Sports Analytics Market By Analysis Type
13.3.12.4 Netherlands Sports Analytics Market By Sports
13.3.12.5 Netherlands Sports Analytics Market By End Users
13.3.13 Rest of Europe
13.3.13.1 Rest of Europe Sports Analytics Market By Component
13.3.13.2 Rest of Europe Sports Analytics Market By Sports Type
13.3.13.3 Rest of Europe Sports Analytics Market By Analysis Type
13.3.13.4 Rest of Europe Sports Analytics Market By Sports
13.3.13.5 Rest of Europe Sports Analytics Market By End Users
13.4 Asia-Pacific
13.4.1 Asia Pacific Sports Analytics Market By country
13.4.2 Asia Pacific Sports Analytics Market By Component
13.4.3 Asia Pacific Sports Analytics Market By Sports Type
13.4.4Asia Pacific Sports Analytics Market By Analysis Type
13.4.5Asia Pacific Sports Analytics Market By Sports
13.4.6 Asia Pacific Sports Analytics Market By End Users
13.4.7 Japan
13.4.7.1 Japan Sports Analytics Market By Component
13.4.7.2 Japan Sports Analytics Market By Sports Type
13.4.7.3 Japan Sports Analytics Market By Analysis Type
13.4.7.4 Japan Sports Analytics Market By Sports
13.4.7. 5Japan Sports Analytics Market By End Users
13.4.8South Korea
13.4.8.1 South Korea Sports Analytics Market By Component
13.4.8.2 South Korea Sports Analytics Market By Sports Type
13.4.8.3 South Korea Sports Analytics Market By Analysis Type
13.4.8.4 South Korea Sports Analytics Market By Sports
13.4.8.5 South Korea Sports Analytics Market By End Users
13.4.9 China
13.4.9.1 China Sports Analytics Market By Component
13.4.9.2 China Sports Analytics Market By Sports Type
13.4.9.3 China Sports Analytics Market By Analysis Type
13.4.9.4 China Sports Analytics Market By Sports
13.4.9.5 China Sports Analytics Market By End Users
13.4.10 India
13.4.10.1 India Sports Analytics Market By Component
13.4.10.2 India Sports Analytics Market By Sports Type
13.4.10.3 India Sports Analytics Market By Analysis Type
13.4.10.4 India Sports Analytics Market By Sports
13.4.10.5 India Sports Analytics Market By End Users
13.4.11 Australia
13.4.11.1 Australia Sports Analytics Market By Component
13.4.11.2 Australia Sports Analytics Market By Sports Type
13.4.11.3 Australia Sports Analytics Market By Analysis Type
13.4.11.4 Australia Sports Analytics Market By Sports
13.4.11.5 Australia Sports Analytics Market By End Users
13.4.12 Rest of Asia-Pacific
13.4.12.1 APAC Sports Analytics Market By Component
13.4.12.2 APAC Sports Analytics Market By Sports Type
13.4.12.3 APAC Sports Analytics Market By Analysis Type
13.4.12.4 APAC Sports Analytics Market By Sports
13.4.12.5 APAC Sports Analytics Market By End Users
13.5 The Middle East & Africa
13.5.1 The Middle East & Africa Sports Analytics Market By country
13.5.2 The Middle East & Africa Sports Analytics Market By Component
13.5.3 The Middle East & Africa Sports Analytics Market By Sports Type
13.5.4The Middle East & Africa Sports Analytics Market By Analysis Type
13.5.5 The Middle East & Africa Sports Analytics Market By Sports
13.5.6The Middle East & Africa Sports Analytics Market By End Users
13.5.7 Israel
13.5.7.1 Israel Sports Analytics Market By Component
13.5.7.2 Israel Sports Analytics Market By Sports Type
13.5.7.3 Israel Sports Analytics Market By Analysis Type
13.5.7.4 Israel Sports Analytics Market By Sports
13.5.7.5 Israel Sports Analytics Market By End Users
13.5.8 UAE
13.5.8.1 UAE Sports Analytics Market By Component
13.5.8.2 UAE Sports Analytics Market By Sports Type
13.5.8.3 UAE Sports Analytics Market By Analysis Type
13.5.8.4 UAE Sports Analytics Market By Sports
13.5.8.5 UAE Sports Analytics Market By End Users
13.5.9South Africa
13.5.9.1 South Africa Sports Analytics Market By Component
13.5.9.2 South Africa Sports Analytics Market By Sports Type
13.5.9.3 South Africa Sports Analytics Market By Analysis Type
13.5.9.4 South Africa Sports Analytics Market By Sports
13.5.9.5 South Africa Sports Analytics Market By End Users
13.5.10 Rest of Middle East & Africa
13.5.10.1 Rest of Middle East & Asia Sports Analytics Market By Component
13.5.10.2 Rest of Middle East & Asia Sports Analytics Market By Sports Type
13.5.10.3 Rest of Middle East & Asia Sports Analytics Market By Analysis Type
13.5.10.4 Rest of Middle East & Asia Sports Analytics Market By Sports
13.5.10.5 Rest of Middle East & Asia Sports Analytics Market By End Users
13.6 Latin America
13.6.1 Latin America Sports Analytics Market By Country
13.6.2 Latin America Sports Analytics Market By Component
13.6.3 Latin America Sports Analytics Market By Sports Type
13.6.4 Latin America Sports Analytics Market By Analysis Type
13.6.5Latin America Sports Analytics Market By Sports
13.6.6 Latin America Sports Analytics Market By End Users
13.6.7 Brazil
13.6.7.1 Brazil Sports Analytics Market By Component
13.6.7.2 Brazil Africa Sports Analytics Market By Sports Type
13.6.7.3Brazil Sports Analytics Market By Analysis Type
13.6.7.4 Brazil Sports Analytics Market By Sports
13.6.7.5 Brazil Sports Analytics Market By End Users
13.6.8 Argentina
13.6.8.1 Argentina Sports Analytics Market By Component
13.6.8.2 Argentina Sports Analytics Market By Sports Type
13.6.8.3 Argentina Sports Analytics Market By Analysis Type
13.6.8.4 Argentina Sports Analytics Market By Sports
13.6.8.5 Argentina Sports Analytics Market By End Users
13.6.9 Rest of Latin America
13.6.9.1 Rest of Latin America Sports Analytics Market By Component
13.6.9.2 Rest of Latin America Sports Analytics Market By Sports Type
13.6.9.3 Rest of Latin America Sports Analytics Market By Analysis Type
13.6.9.4 Rest of Latin America Sports Analytics Market By Sports
13.6.9.5 Rest of Latin America Sports Analytics Market By End Users
14. Company Profile
14.1 Oracle Corporation.
14.1.1 Market Overview
14.1.2 Financials
14.1.3 Product/Services/Offerings
14.1.4 SWOT Analysis
14.1.5 The SNS View
14.2 ChyronHego.
14.2.1 Market Overview
14.2.2 Financials
14.2.3 Product/Services/Offerings
14.2.4 SWOT Analysis
14.2.5 The SNS View
14.3 IBM Corporation.
14.3.1 Market Overview
14.3.2 Financials
14.3.3 Product/Services/Offerings
14.3.4 SWOT Analysis
14.3.5 The SNS View
14.4 Salesforce.
14.4.1 Market Overview
14.4.2 Financials
14.4.3 Product/Services/Offerings
14.4.4 SWOT Analysis
14.4.5 The SNS View
14.5 SAS Institute
14.5.1 Market Overview
14.5.2 Financials
14.5.3 Product/Services/Offerings
14.5.4 SWOT Analysis
14.5.5 The SNS View
14.6 HCL.
14.6.1 Market Overview
14.6.2 Financials
14.6.3 Product/Services/Offerings
14.6.4 SWOT Analysis
14.6.5 The SNS View
14.7 Sportradar AG
14.7.1 Market Overview
14.7.2 Financials
14.7.3 Product/Services/Offerings
14.7.4 SWOT Analysis
14.7.5 The SNS View
14.8 Genius Sports Group.
14.8.1 Market Overview
14.8.2 Financials
14.8.3 Product/Services/Offerings
14.8.4 SWOT Analysis
14.8.5 The SNS View
14.9 Sporting Algorithms.
14.9.1 Market Overview
14.9.2 Financials
14.9.3 Product/Services/Offerings
14.9.4 SWOT Analysis
14.9.5 The SNS View
14.10 L2P Limited.
14.10.1 Market Overview
14.10.2 Financials
14.10.3 Product/Services/Offerings
14.10.4 SWOT Analysis
14.10.5 The SNS View
15. Competitive Landscape
15.1 Competitive Benchmarking
15.2 Market Share Analysis
15.3 Recent Developments
16. USE Cases and Best Practices
17. Conclusion
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