Emphasis on Component (Solutions and Services); Sports (Football, Cricket, Baseball, Rugby, and Others); Deployment Mode (Cloud and On-Premises); Application (Team Performance Analysis, Video Analysis, Health Assessment, and Others); and Region/Country
The global sports analytics market was valued at ~USD 3.4 billion in 2023 and is expected to grow at a strong CAGR of around ~26% during the forecast period (2024-2032) owing to the continuous improvements in data collection, processing, and analysis technologies are driving the adoption of sports analytics.
The Global Sports Analytics Market is a growing industry that leverages data analytics, artificial intelligence (AI), and machine learning (ML) to gather, analyze, and understand data regarding sportsmen, sports enthusiasts, and organizational activities in the sporting business. This market covers performance analysis, injury prevention, game strategy formulation, and even fan engagement. The specific factors that fuel the growth of this market consist of the enhanced usage of the big and sophisticated analytics tools among the professional sports teams, and organizations, and the escalation of data-oriented approaches and personalization of the fan base among the sports leagues. Also, with the use of wearable technology, connected gadgets, and real-time data analysis, the sports analytics market keeps on growing, becoming an important factor in the development of contemporary sports.
This section discusses the key market trends that are influencing the various segments of the global sports analytics market, as identified by our team of research experts.
On-Premises Segment Transforming Industry
The On-Premises segment holds the largest market share in the sports analytics market since it empowers organizations with more control, better security, and higher chances for customization of data and analytics. It is crucial to note that this deployment model suits large sports organizations and sports teams that manage sensitive data and are under regulatory compliance pressure. On-premises deployments also offer the advantage of embedding the selected tools into the client’s current IT environment for efficient real-time analysis with minimal delay. On the other hand, on-premises deployments address the organization’s need for a safe environment for handling proprietary data, as well as offer a customized, high-performance analytics solution necessary to improve strategies and gain a competitive edge in the sports market.
Asia-Pacific is Expected to Grow at the fastest CAGR During Forecast Period.
The Asia-Pacific sports analytics market is currently a growing market as more organizations invest their resources in sports technology with the region shifting to using data-driven decisions. It is due to the increased consumption of sports among consumers, the developing analytics technology, and more professional sports leagues and teams that involve data to improve results. Some of these drivers are the upsurge in the use of wearable devices combined with advanced data analytic tools, the incorporation of artificial intelligence, and machine learning algorithms. Sports organizations and franchises located in the Asia-Pacific region are trying to look for that extra edge over the competition and as this market for comprehensive solutions for sports analytics rapidly expands, the chances for massive growth are unparalleled.
The global sports analytics market is competitive, with several global and international market players. The key players are adopting different growth strategies to enhance their market presence, such as partnerships, agreements, collaborations, new product launches, geographical expansions, and mergers and acquisitions. Some of the major players operating in the market are IBM; SAP; SAS Institute Inc.; Stats Perform; TruMedia; Oracle; Salesforce, Inc.; Experfy Inc.; Catapult Group International Ltd; and Sportradar AG
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1. Market Introduction
2. Research Methodology Or Assumption
3. Executive Summary
4. Market Dynamics
5. Pricing Analysis
6. Global Sports Analytics Market Revenue (usd Bn), 2022-2032f
7. Market Insights By Component
8. Market Insights By Sport
9. Market Insights By Deployment Mode
10. Market Insights By Application
11. Market Insights By Region
12. Value Chain Analysis
13. Competitive Landscape
14. Company Profiled
15. Acronyms & Assumption
16. Annexure
Analyzing the historical market, estimating the current market, and forecasting the future market of the global sports analytics market were the three major steps undertaken to create and analyze the adoption of global sports analytics in major regions. Exhaustive secondary research was conducted to collect the historical market numbers and estimate the current market size. Secondly, to validate these insights, numerous findings and assumptions were considered. Moreover, exhaustive primary interviews were conducted with industry experts across the value chain of the global sports analytics market. For the assumption and validation of market numbers through primary interviews, we employed a top-down/bottom-up approach to forecasting the complete market size. Thereafter, market breakdown and data triangulation methods were adopted to estimate and analyze the market size of segments and sub-segments of the industry pertains to. Detailed methodology is explained below:
Analysis of Historical Market Size
Step 1: In-Depth Study of Secondary Sources:
A detailed secondary study was conducted to obtain the historical market size of the global Sports analytics market through company internal sources such as annual reports & financial statements, performance presentations, press releases, etc., and external sources including journals, news & articles, government publications, competitor publications, sector reports, third-party database, and other credible publications.
Step 2: Market Segmentation:
After obtaining the historical market size of the global sports analytics market, we conducted a detailed secondary analysis to gather historical market insights and share for different segments & sub-segments for major regions. Major segments are included in the report as component, sport, deployment mode, application, and regions. Further country-level analyses were conducted to evaluate the overall adoption of testing models in that region.
Step 3: Factor Analysis:
After acquiring the historical market size of different segments and sub-segments, we conducted a detailed factor analysis to estimate the current market size of the global sports analytics market. Further, we conducted factor analysis using dependent and independent variables such as component, sport, deployment mode, application, and global sports analytics market regions. A thorough analysis of demand and supply-side scenarios was conducted considering top partnerships, mergers and acquisitions, business expansion, and product launches in the global sports analytics market.
Current Market Sizing: Based on actionable insights from the above 3 steps, we arrived at the current market size, key players in the global sports analytics market, and market shares of the segments. All the required percentage shares split and market breakdowns were determined using the above-mentioned secondary approach and were verified through primary interviews.
Estimation & Forecasting: For market estimation and forecast, weights were assigned to several factors including drivers & trends, restraints, and opportunities available for the stakeholders. After analyzing these factors, relevant forecasting techniques i.e., the top-down/bottom-up approach were applied to arrive at the market forecast 2032 for different segments and sub-segments across the major markets globally. The research methodology adopted to estimate the market size encompasses:
Primary Research: In-depth interviews were conducted with the Key Opinion Leaders (KOLs) including Top Level Executives (CXO/VPs, Sales Head, Marketing Head, Operational Head, Regional Head, Country Head, etc.) across major regions. Primary research findings were then summarized, and statistical analysis was performed to prove the stated hypothesis. Inputs from primary research were consolidated with secondary findings, hence turning information into actionable insights.
Market Engineering
The data triangulation technique was employed to complete the overall market estimation and to arrive at precise statistical numbers for each segment and sub-segment of the global Sports analytics market. Data was split into several segments and sub-segments after studying various parameters and trends in the global Sports analytics market’s component, sport, deployment mode, application, and regions.
The current & future market trends of the global sports analytics market were pinpointed in the study. Investors can gain strategic insights to base their discretion for investments on the qualitative and quantitative analysis performed in the study. Current and future market trends determined the market’s overall attractiveness at a regional level, providing a platform for the industrial participant to exploit the untapped market to benefit from a first-mover advantage. Other quantitative goals of the studies include:
Q1: What are the global Sports analytics market’s current market size and growth potential?
Q2: What are the driving factors for the growth of the global sports analytics market?
Q3: Which segment has the largest share of the global sports analytics market by component category?
Q4: What are the emerging technologies and trends in the global sports analytics market?
Q5: Which region will dominate the global Sports analytics market?
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