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Global Sports Analytics Market Key Players, Demands, Growth Rate, Covid-19 Impact and Size to Grow USD 8.4 billion by 2026

PUNE, India, March 11, 2022 /PRNewswire/ — 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 the 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.

The report includes the study of key players offering sports analytics solutions and services. It profiles major vendors in the global sports analytics market. The major vendors in the global 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 (IrelandQuant4SportItaly), Zebra Technologies (US), and Exasol (Germany).

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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 ability 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 formula 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 test bed 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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The cloud segment to have the highest CAGR during the forecast period

By deployment mode, the sports analytics market has been segmented into on-premises and cloud. The CAGR of the cloud deployment mode is estimated to be the largest during the forecast period. Cloud-based services are provided directly through the cloud-deployed network connection. Cloud-based platforms are beneficial for organizations that have strict budgets for security investments. The cloud deployment mode is growing, as cloud-based sports analytics solutions are easy to maintain and upgrade.

The individual sports segment to hold higher CAGR during the forecast period

The sports analytics market has been segmented by sports type into individual sports, team sports and eSports. The market for Individual Sport is expected to register a higher CAGR during the forecast period. These individual sports are early adopters of sports analytics solutions. They are faced with the troublesome task of effectively managing data because of the diverse nature of IT infrastructure, which is complex in nature.

Among regions, APAC to hold highest CAGR during the forecast period

APAC is expected to grow at a good pace during the forecast period. The region will be booming, as it is experiencing a lot of new entrepreneur setups, who are adopting the newer technologies to have a competitive advantage over the established players. China, Japanand India have displayed ample growth opportunities in the sports analytics market.

Breakdown of primearies

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the sports analytics market.

  • By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
  • By Design: C-Level Executives: 35%, D-Level Executives: 25%, and Managers: 40%
  • By Region: APAC: 25%, Europe: 30%, North America: 30%, MEA: 10%, Latin America: 5%

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Research Coverage

The market study covers the sports analytics market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as components, deployment mode, organization size, application, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Table Of Contents:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights

5 Market Overview and Industry Trends

6 Sports Analytics Market, By Component

7 Sports Analytics Market, By Deployment Mode

8 Sports Analytics Market, By End User

9 Sports Analytics Market, By Type

10 Sports Analytics Market, By Application

11 Sports Analytics Market, By Region

12 Competitive Landscape

13 Company Profiles

14 Adjacent and Related Markets

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