Market Executive Summary

The global market for Cloud-based Sports Analytics was estimated to be worth US$ 2530 million in 2023 and is forecast to a readjusted size of US$ 4569.4 million by 2030 with a CAGR of 8.7% during the forecast period 2024-2030.

Cloud-based sports analytics refers to the use of cloud computing technologies to collect, store, process, and analyze data related to sports performance, athlete tracking, and sports business operations. This approach leverages the scalability, flexibility, and accessibility of cloud infrastructure to support comprehensive analytics and insights within the sports industry.

The global cloud-based sports analytics market has been experiencing significant growth driven by the increasing demand for data-driven insights and performance optimization in the sports industry. The market has seen the emergence of several key players offering cloud-based sports analytics solutions across diverse sports disciplines. These solutions cater to the needs of sports teams, leagues, individual athletes, and related entities, providing them with tools for data collection, analysis, and real-time decision-making.

In recent years, the adoption of cloud-based sports analytics has been fueled by the following factors:

The growing emphasis on performance analysis and injury prevention in professional sports.

The utilization of advanced technologies such as IoT (Internet of Things), wearables, and video analytics for data collection.

The rising importance of fan engagement and the use of data-driven insights for enhancing fan experiences and marketing strategies.

The integration of machine learning and artificial intelligence for predictive analytics and strategic planning.

The increasing global interest in sports betting and the role of analytics in informing odds and predictions.

The market has witnessed significant investments, partnerships, and mergers and acquisitions among technology companies, sports organizations, and analytics providers, contributing to the expansion and innovation within the cloud-based sports analytics sector.

Furthermore, regional variations exist in the adoption and growth of the cloud-based sports analytics market, with North America traditionally being a leading region due to the prevalence of major professional sports leagues and technological innovation. However, other regions, such as Europe and Asia Pacific, are also experiencing rapid growth as sports organizations and businesses recognize the value of data analytics in gaining a competitive edge and enhancing overall performance.

Report Scope

This report aims to provide a comprehensive presentation of the global market for Cloud-based Sports Analytics, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Cloud-based Sports Analytics by region & country, by Type, and by Application.

The Cloud-based Sports Analytics market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Cloud-based Sports Analytics.

Global Cloud-based Sports Analytics Companies Covered

IBM, SAS Institute, Tableau Software, EXL, GlobalStep, Catapult, SportsSource Analytics, HCL, Stats Perform, Zebra Technologies, Opta Sports, TruMedia Networks, Second Spectrum, Prozone Sports, Catapult Sports, Huddle.

Global Cloud-based Sports Analytics Market, Segment by Type

Individual Sports

Team Sports

Global Cloud-based Sports Analytics Market, Segment by Application

Performance Analysis

Player Fitness and Safety

Player and Team Valuation

Fan Engagement

Broadcast Management

Others

Chapter Outline

Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 2: Detailed analysis of Cloud-based Sports Analytics manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 5: Revenue of Cloud-based Sports Analytics in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.

Chapter 6: Revenue of Cloud-based Sports Analytics in country level. It provides sigmate data by Type, and by Application for each country/region.

Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.

Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.

Chapter 9: Conclusion.