USD 1.98 billion
Report ID: SQSG45C2019 | Region: Global | Published Date: November, 2022 | Pages: 165
Global Sports Analytics Market size was valued at USD 1.98 billion in 2021 and is expected to reach USD 13.98 billion by 2028, growing at a CAGR of 23.76% during the forecast period (2022-2028).
The increasing popularity of on-field data for analyzing team performance, tracking players individually, monitoring injuries, and optimizing individual player strength and conditioning curriculums are expected to drive demand for the sports analytics market during the forecast period. The team managers especially in comparison to off-field and on-field information about individual players' organized strategy, the player selection process, and the game lineup. The increased emphasis on real-time data by managers to organize practice sessions and in the different strategic development of games is expected to drive further market growth.
Analytics has become increasingly important as technology has advanced. Managers use statistics and information to plan game plans to achieve game success through data analytics. These powerful analysis solutions are essential for the creation of in-game strategy because they provide managers, decision-makers, coaching staff, and players with a solution that creates valuable information on various parameters of the whole team and individual players. The solutions assist managers in gaining data about players as well as weather and pitch circumstances to plan a better strategy.
Traditionally, game outcomes were solely determined by the performers and their skills. However, technological advances in Big Data, AI, and Machine Learning (ML) have triggered a pattern shift in sports analytics. This software's algorithms analyze factors such as performance in foreign and domestic settings, opponents, and game conditions to recommend the best players for specific needs. Machine learning and deep neural networks, on the other hand, assist coaches and managers in determining winning probability values and combinations.
Furthermore, through season ticket holder management analysis, a clustering algorithm targets specific groups to help boost the fan base. Big data analytics boosts team efficiency while also raising revenue through merchandise sales, sponsorship deals, broadcast rights, and ticket revenue. Analytical data is commonly used in fantasy gaming Solutions to display player data and individuals while choosing a particular player to receive monetary rewards. The growing use of sports analytics solutions in fictional gaming is expected to have a positive impact on the market.
Global Market Size
USD 1.98 billion
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The Global Sports Analytics market is segmented based on Deployment, Type, Solution, Game, End-Use, Game, and Region. Based on Deployment, the market is segmented into Cloud and On-premise. Based on Type, the market is segmented into On Field and Off Field. Based on the Solution, the market is segmented into Video Analytics, BioAnalytics, and Smart Wearable. Based on End-Use, the market is segmented into individuals, Teams, and e-Sports. Based on Game, the market is segmented into Football, Cricket, Basketball, Baseball, and Others. Based on Component, the market is segmented into Software and Service. Based on region the global Sports Analytics market is segmented into North America, Europe, Asia-Pacific, South America, and MEA.
Analysis by Components
With a market share of more than 56.5% in 2021, the software segment dominated the market. Data for sports analysis is generated by a variety of software applications, including real-time predictive analysis, motion/video analysis, and data visualization, including pre/post-game analysis. Marketers provide customized sports advanced analytics based on the software's intended use for both individuals and teams. Big Data analytics, Augmented Reality/Virtual Reality (AR/VR), biometrics, 2D/3D imaging, and video-based sensing have all contributed to the software industry's transformation. These innovations are now used effectively in video analysis tools, player tracking systems, and motion software applications.
Management teams also use application software to enhance the efficiency of their advertising and marketing campaigns. For instance, The Texas Rangers, an American professional Baseball, and other teams use Tableau Software, LLC's sports management software, which provides a complete perspective of all operational processes in one software, which includes real-time merchandise and ticket revenue, marketing events, in-stadium food and beverages sales, and game attendance.
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In 2021, North America held more than 28% of global sports analytics market share. The growing demand for live commentary and Artificial intelligence technology in sports, as well as increased investments in cutting-edge technology by members of the National Football League (NFL), Major Baseball, and Others (MLB), and National Collegiate Athletic association (NBA) in the region, are expected to drive the market in the North American region. Tableau Software, LLC, SAP SE, and IBM Corporation are among the market leaders in sports analytics, investing significantly in research and development to ensure that all the requirements and achieve a competitive advantage.
Sports analytics market analysis provides insights that the Asia Pacific region is expected to grow significantly during the forecast period. Countries such as Japan, India, and China are expected to see high demand due to their strong building of sports cultures. The establishment of various sporting league teams, confrontational investments in sports, as well as a digital revolution are expected to play a significant role in market growth.
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The adoption of cutting-edge technologies such as the cloud, IoT, big data and analytics, agility, and social media has resulted in innovation and transformation, thereby boosting the economy in the business ecosystem. Digital technologies have transformed the traditional business model into a modern one. Because of the increased demand for in-depth knowledge, the adoption of big data and related technologies has accelerated. The exponential increase in data volume is due to the global expansion of businesses, which is driving the increase in data volumes and sources. The accumulation of large amounts of data in a single location has accelerated the evaluation capabilities of machine learning experts in every organization. Enterprises can optimize critical business processes, functions, and objectives by leveraging the challenges and opportunities of big data sports analytics.
The emergence of the internet and the availability of different ways to access it have resulted in an enormous increase in data volumes generated. As a result, the development and advancement of high-speed internet providers would be aided. Economic development and global growth are also important factors driving increased data generation globally. With the increase in touchpoints and the need for data collection to understand consumer behavior, every consumer touch has evolved into a significant data point that can be produced to reveal user behavior. Because of the exponential growth in individual and organizational data, sports analytics companies are now going to deploy data scientists and analysts to process collected data. Another factor driving adoption is the operating income possibility of sports analytics. This is appealing to companies to invest in sports analytics. The rise of connected and consolidated technologies has created an opportunity for big data analytical market solution vendors to capitalize on the internet's development and unprecedented growth.
The sports industry has historically lagged far behind in adopting new technology, but things have changed over time. To outperform rivals and produce better outcomes, sports authorities are implementing cutting-edge technological solutions. Sports, whether team or individual, have become intensely competitive, with players and coaches spending a lot of money to access infrastructure and facilities. Sports analytics is still a neglected field, but it will become more significant in the coming few years. Enterprises in the regions lag in the adoption of analytics and other technologies because of low technology penetration and strict political constraints, despite growing interest in such innovations to improve performance in North and Europe.
Sports organizations throughout the region continue to rely on traditional analysis methods, such as hiring retired athletes or sportspersons as coaches to train their teams and physiotherapists to assess their players' health. All of these factors contribute to the slow growth of the sports analytics market.
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The competition between small and midsized companies is intensifying. Players are focusing on mergers and acquisitions, and partnership opportunities to stabilize and expand their market presence. For instance, Sportradar AG announced a 10-year partnership agreement with the National Hockey League in June 2021. The collaboration has enabled Sportradar AG to distribute NHL official data and statistics to technology companies, sports betting companies, and media outlets. The agreement also grants Sportradar the right to provide live broadcasts of NHL games to sports betting operators in authorized markets via the providers' digital betting platforms.
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According to our global sports analytics market analysis, we found that the use of sport analytics solutions in North America is expanding due to the region's increasing technological adoption rates and shifting market conditions. The demand for software delivered via the cloud is rising as businesses focus on cutting maintenance and upgrade costs. This is because cloud-based solutions have benefits like low cost, quick scalability, easy access, and uninterrupted service.
|Market size value in 2021||USD 1.98 billion|
|Market size value in 2028||USD 13.98 billion|
|Forecast Unit (Value)||USD Billion|
|Regions covered||North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA)|
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Parent Market Analysis
KEY MARKET INSIGHTS
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
For the Global Sports Analytics Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Global Sports Analytics Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Global Sports Analytics Market:
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