The sports analytics market size to grow from USD 2.5 billion in 2021 to USD 8.4 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 27.3% during the forecast period. Various factors such as increasing spending on adoption of newer technologies, changing landscape of customer intelligence to drive the market, and proliferation of customer channels are expected to drive the adoption of sports analytics technologies and services.
Traditional analytics platforms use static and stored data to analyze simple or complex patterns and react to any business situation. These platforms take days to analyze and weeks to act on the stored data. Sports analytics technology is the core enabler of big data, enabling businesses to use historical data and combine it with customer insights to predict future events. Big data is an ever-increasing technology that assists businesses in optimizing processes and minimizing operational costs. The combination of real-time data streams, Artificial Intelligence (AI), Machine Learning (ML), and sports analytics can deliver competitive business advantages. Traditional analytics and BI systems use the deductive approach for analyzing data. This approach works well with structured data. Sports analytics, on the other hand, applies the inductive reasoning analysis approach, which deals with large datasets derived from ML, robotics, sensors, and AI. It uses algorithms that carry out complex calculations on large data sets and discover interrelationships and patterns between them. Big data offers the capability to gather, manage, and examine data across business verticals, such as banking, healthcare, and agriculture, which has made it a trending topic in Information Technology (IT) for a decade. It has numerous applications, and one such field where it has revolutionized the entire landscape is the sports industry. Data has always been crucial in sports to gain strategic decision-making capabilities and formulate other business strategies. Sports generate a large amount of data related to players, team performance, and the audience. Big data has made it easier and quicker for coaches, team managers, and sports associations to analyze the collected data and make optimum use of it. It further helps reshape existing business models, where sports are viewed as both commercial and technological platforms. To transform sports arenas into a testbed facility for the implementation of IoT on a wide-scale deployment, the technology platform is expected to comprise a robust Wireless Fidelity (Wi-Fi) network, mobile and cloud computing, and Internet of Things (IoT) technologies. IoT would eventually digitalize stadium operations and provide fans with an enhanced connected experience. A smart stadium, therefore, would use sophisticated technologies and robust infrastructure to enhance its operations to lure fans to the stadiums.
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Some major players in the sports analytics market include IBM (US), SAS Institute (US), Salesforce (US), EXL (US), GlobalStep (US), Catapult (US), HCL (India), ChyronHego (US), Stats Perform (US), TruMedia Network (US), DataArt (US), Orreco (Ireland), Quant4Sport (Italy), Zebra Technologies (US), and Exasol (Germany). These vendors have adopted various organic and inorganic growth strategies, such as new product launches, partnerships and collaborations, and mergers and acquisitions, to expand their presence in the global sports analytics market.
International Business Machines (IBM) was incorporated in 1911 and is headquartered in New York, US. IBM is one of the leading American computer manufacturers and providers of cloud, cognitive security, research, analytics, consulting, IoT, and IT infrastructure. IBM operates through five segments: Cloud & Cognitive Software, Systems, Global Technology Services, Global Business Services, and Global Financing. In the sports analytics market, IBM Watson provides Watson IoT and a sports analytics platform for athletes. The platforms provide a dashboard that helps the athlete to track their performance and compare it with other athletes and accordingly enhance their performance. The platform further helps coaches track the player’s performance through sensors on the player’s hand, such as incorrect posture, possible injuries while playing, and heart rate, thus making sports safer for professional athletes. Watson IoT focuses on improving player performance, providing an excellent fans experience, optimizing Return on Investment (RoI), and improving venue infrastructure to deliver the best results in sports analytics.
SAS is a leading provider of enterprise application solutions and services. It is also leading experience management, analytics, and BI company. Its solutions are compliant with GDPR. They enable enterprises to build intelligent AI- and ML-based software to unite human expertise with machine-generated insights. The wide range of products and services offered by the company the company offers makes it one of the largest vendors in the sports analytics market. With innovative product offerings, it aims to build analytical solutions for clients to improve their future position in the market. It offered the SAS Optimization solution for the European championship, scheduled in June-July 2020, to engage football fans in stadiums by analyzing fan behaviors, such as those that eagerly watch the match. The data would provide an overview to increase the European championship RoI during matches. The SAS software is deployed in more than 83,000 business establishments, government offices, and universities, and has customers across 183 countries.
Salesforce is a Customer Relationship Management (CRM (Customer Relationship Management) solution and service provider company. Salesforce acquired Tableau, a leading provider of an analytics platform. This acquisition would strengthen Salesforce’s position in the digital transformation space. The company’s integrated platform provides a single shared view of every customer across departments, such as marketing, sales, commerce, and services. The company offers a wide range of products and services across segments, such as sales, services, marketing, application, analytics, employee experience, trailblazers and reskilling, and enablement and collaboration. Most of these segments operate on a single trusted cloud platform. Salesforce’s service offerings can be easily deployed through mobile devices and internet browsers and can be integrated with other platforms and enterprise applications. It offers a cross-cloud technology named Salesforce 360, which helps its clients have a single integrated, holistic customer profile for various departments. The organization caters to various industries, including BFSI, healthcare and life sciences, government, communications, retail, consumer goods, media, manufacturing, transportation, and hospitality, automotive, and education.
Sports Analytics Market with COVID-19 Impact Analysis by Component (Solutions, Services), Application, Deployment Mode, Organization Size, Industry Vertical, and Region (APAC, North America, MEA, Europe, Latin America) - Global Forecast to 2026
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