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Sports Analytics Market by Component Deployment Mode Application: Global Opportunity Analysis and Industry Forecast, 2019-2026

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    Report

  • 227 Pages
  • November 2019
  • Region: Global
  • Allied Market Research
  • ID: 4989489
Sports analytics is the method of applying data gathered from a team performance under various circumstances for improving the performance of the team and helping in better decision-making. It is the collection of historical statistics that when used appropriately can provide a viable advantage to an individual or to the team. Through the collection and analyzation of these data, sports analytics help players, coaches, and other staff to facilitate decision-making both during and prior to sporting events. The use of sports statistics and data has become prolific throughout most major sports. In addition, many large organizations in the U.S. has made it compulsory for professional teams to adopt sports analytics to support their operations. The best example of sports analytics is tracking of a baseball player’s batting average.

Increase in the amount of on-field data and surge in the monitoring and tracking of data of players are the major factors that drive the growth of the market. In addition, rise in required time for accessing real-time data and increase in demand for predictive insights of fans preferences fuel the growth of the market. Moreover, high investment and maintenance cost and lack of awareness regarding sports technology hamper the growth of the market. Furthermore, availability of cost-effective and high-end computing solutions and increase in demand for analytics for complex data streaming are anticipated to provide lucrative opportunity for the market growth.

The global sports analytics market is segmented on the basis of component, deployment mode, application, and region. In terms of component, it is segmented into software and services. In terms of deployment mode, the market is bifurcated into on-premise and cloud. Based on application, it is divided into marketing/sales, video analysis, fan engagement, team performance & training sports, player analysis & health assessment, and others. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players profiled in the sport analytics market analysis include IBM Corporation, Oracle Corporation, SAP SE Stats Perform, Nielson Sports, Tableau Software, SAS Institute, Opta Sports, Trumedia Networks, and Sportradar AG. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.

Key benefits for stakeholders
  • The study provides an in-depth analysis of the global sports analytics market along with the current & future trends to elucidate the imminent investment pockets.
  • Information regarding the key drivers, restrains, and opportunities and their impact analysis on the market size is provided in the report.
  • Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
  • The quantitative analysis of the global sports analytics market for the period 2018–2026 is provided to determine the market potential.

Key market segments

By Component
  • Software
  • Service

By Deployment Mode
  • On-Premise
  • Cloud

By Application Area
  • Marketing/Sales
  • Video Analysis
  • Fan Engagement
  • Team Performance & Training Sports
  • Player Analysis & Health Assessment
  • Other

By Region
  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Rest of Europe
  • Asia-Pacific
  • China
  • India
  • Japan
  • Rest of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • Africa

Key MARKET PLAYERS
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Stats Perform
  • Nielson Sports
  • Tableau Software
  • SAS Institute
  • Opta Sports
  • Trumedia Networks
  • Sportradar AG

Table of Contents

Chapter 1: Introduction
1.1. Report Description
1.2. Key Benefits For Stakeholders
1.3. Key Market Segments
1.4. Research Methodology
1.4.1. Secondary Research
1.4.2. Primary Research
1.4.3. Analyst Tools & Models
Chapter 2: Executive Summary
2.1. Key Findings
2.1.1. Top Impacting Factors
2.1.2. Top Investment Pockets
2.2. CXO Perspective
Chapter 3: Market Overview
3.1. Market Definition And Scope
3.2. Key Forces Shaping Global Sports Analytics Software Market
3.2.1. Moderate Bargaining Power Of Suppliers
3.2.2. Low-To-Moderate Bargaining Power Of Buyer
3.2.3. Low-To-Moderate Threat Of Substitutes
3.2.4. Moderate-To-High Threat Of New Entrants
3.2.5. Low-To-Moderate Competitive Rivalry
3.3. Case Studies
3.3.1. French Open Tennis Tournament Has Implemented Infosys Analytics Platform Infused With Machine Learning Algorithms For Giving Access To Coaches And Players In The Statslounge
3.3.2. 49Ers Have Implemented Sap Analytics Solutions For Aggregating And Reporting Real-Time Data To The Operations Team
3.4. Market Dynamics
3.4.1. Drivers
3.4.1.1. Increasing Amount Of On-Field Data
3.4.1.2. Growing Demand For Real-Time Data Access
3.4.1.3. Increasing Demand For Predictive Insights Into Fan Preferences
3.4.2. Restraint
3.4.2.1. High Investment And Maintenance Costs
3.4.2.2. Lack Of Awareness About Technology In Sports
3.4.3. Opportunities
3.4.3.1. Availability Of Cost-Effective And High-End Computing Solutions
3.4.3.2. Increasing Demand Of Analytics For Complex Data Streaming
Chapter 4: Sports Analytics Market, By Component
4.1. Overview
4.2. Solution
4.2.1. Key Market Trends, Growth Factors, And Opportunities
4.2.2. Market Size And Forecast, By Region
4.2.3. Market Analysis By Country
4.3. Service
4.3.1. Key Market Trends, Growth Factors, And Opportunities
4.3.2. Market Size And Forecast, By Region
4.3.3. Market Analysis, By Country
Chapter 5: Global Sports Analytics Market, By Deployment Mode
5.1. Overview
5.2. On-Premise
5.2.1. Key Market Trends, Growth Factors And Opportunities
5.2.2. Market Size And Forecast, By Region
5.2.3. Market Analysis By Country
5.3. Cloud-Based
5.3.1. Key Market Trends, Growth Factors And Opportunities
5.3.2. Market Size And Forecast, By Region
5.3.3. Market Analysis By Country
Chapter 6: Sports Analytics Market, By Application
6.1. Overview
6.2. Marketing/Sales
6.2.1. Key Market Trends, Growth Factors, And Opportunities
6.2.2. Market Size And Forecast, By Region
6.2.3. Market Analysis By Country
6.3. Video Analysis
6.3.1. Key Market Trends, Growth Factors, And Opportunities
6.3.2. Market Size And Forecast, By Region
6.3.3. Market Analysis By Country
6.4. Fan Engagement
6.4.1. Key Market Trends, Growth Factors, And Opportunities
6.4.2. Market Size And Forecast, By Region
6.4.3. Market Analysis By Country
6.5. Team Performance & Training Sports
6.5.1. Key Market Trends, Growth Factors, And Opportunities
6.5.2. Market Size And Forecast, By Region
6.5.3. Market Analysis By Country
6.6. Player Analysis & Health Assessment
6.6.1. Key Market Trends, Growth Factors, And Opportunities
6.6.2. Market Size And Forecast, By Region
6.6.3. Market Analysis By Country
6.7. Other
6.7.1. Key Market Trends, Growth Factors, And Opportunities
6.7.2. Market Size And Forecast, By Region
6.7.3. Market Analysis By Country
Chapter 7: Global Sports Analytics Market, By Region
7.1. Overview
7.1.1. Market Size And Forecast, By Region
7.2. North America
7.2.1. Key Market Trends, Growth Factors And Opportunities
7.2.2. Market Size And Forecast, By Component
7.2.3. Market Size And Forecast, By Deployment Model
7.2.4. Market Size And Forecast, By Application Area
7.2.5. Market Analysis By Country
7.2.5.1. U.S.
7.2.5.1.1. Market Size And Forecast, By Component
7.2.5.1.2. Market Size And Forecast, By Deployment Model
7.2.5.1.3. Market Size And Forecast, By Application
7.2.5.2. Canada
7.2.5.2.1. Market Size And Forecast, By Component
7.2.5.2.2. Market Size And Forecast, By Deployment Model
7.2.5.2.3. Market Size And Forecast, By Application
7.3. Europe
7.3.1. Key Market Trends, Growth Factors And Opportunities
7.3.2. Market Size And Forecast, By Component
7.3.3. Market Size And Forecast, By Deployment Model
7.3.4. Market Size And Forecast, By Application
7.3.5. Market Analysis By Country
7.3.5.1. UK
7.3.5.1.1. Market Size And Forecast, By Component
7.3.5.1.2. Market Size And Forecast, By Deployment Model
7.3.5.1.3. Market Size And Forecast, By Application
7.3.5.2. France
7.3.5.2.1. Market Size And Forecast, By Component
7.3.5.2.2. Market Size And Forecast, By Deployment Model
7.3.5.2.3. Market Size And Forecast, By Application
7.3.5.3. Germany
7.3.5.3.1. Market Size And Forecast, By Component
7.3.5.3.2. Market Size And Forecast, By Deployment Model
7.3.5.3.3. Market Size And Forecast, By Application
7.3.5.4. Spain
7.3.5.4.1. Market Size And Forecast, By Component
7.3.5.4.2. Market Size And Forecast, By Deployment Model
7.3.5.4.3. Market Size And Forecast, By Application
7.3.5.5. Italy
7.3.5.5.1. Market Size And Forecast, By Component
7.3.5.5.2. Market Size And Forecast, By Deployment Model
7.3.5.5.3. Market Size And Forecast, By Application
7.3.5.6. Russia
7.3.5.6.1. Market Size And Forecast, By Component
7.3.5.6.2. Market Size And Forecast, By Deployment Model
7.3.5.6.3. Market Size And Forecast, By Application
7.3.5.7. Rest Of Europe
7.3.5.7.1. Market Size And Forecast, By Component
7.3.5.7.2. Market Size And Forecast, By Deployment Model
7.3.5.7.3. Market Size And Forecast, By Application
7.4. Asia-Pacific
7.4.1. Key Market Trends, Growth Factors And Opportunities
7.4.2. Market Size And Forecast, By Component
7.4.3. Market Size And Forecast, By Deployment Model
7.4.4. Market Size And Forecast, By Application
7.4.5. Market Analysis By Country
7.4.5.1. China
7.4.5.1.1. Market Size And Forecast, By Component
7.4.5.1.2. Market Size And Forecast, By Deployment Model
7.4.5.1.3. Market Size And Forecast, By Application
7.4.5.2. India
7.4.5.2.1. Market Size And Forecast, By Component
7.4.5.2.2. Market Size And Forecast, By Deployment Model
7.4.5.2.3. Market Size And Forecast, By Application
7.4.5.3. Japan
7.4.5.3.1. Market Size And Forecast, By Component
7.4.5.3.2. Market Size And Forecast, By Deployment Model
7.4.5.3.3. Market Size And Forecast, By Application
7.4.5.4. South Korea
7.4.5.4.1. Market Size And Forecast, By Component
7.4.5.4.2. Market Size And Forecast, By Deployment Model
7.4.5.4.3. Market Size And Forecast, By Application
7.4.5.5. Rest Of Asia-Pacific
7.4.5.5.1. Market Size And Forecast, By Component
7.4.5.5.2. Market Size And Forecast, By Deployment Model
7.4.5.5.3. Market Size And Forecast, By Application
7.5. LAMEA
7.5.1. Key Market Trends, Growth Factors And Opportunities
7.5.2. Market Size And Forecast, By Component
7.5.3. Market Size And Forecast, By Deployment Model
7.5.4. Market Size And Forecast, By Application
7.5.5. Market Analysis By Country
7.5.5.1. Latin America
7.5.5.1.1. Market Size And Forecast, By Component
7.5.5.1.2. Market Size And Forecast, By Deployment Model
7.5.5.1.3. Market Size And Forecast, By Application
7.5.5.2. Middle East
7.5.5.2.1. Market Size And Forecast, By Component
7.5.5.2.2. Market Size And Forecast, By Deployment Model
7.5.5.2.3. Market Size And Forecast, By Application
7.5.5.3. Africa
7.5.5.3.1. Market Size And Forecast, By Component
7.5.5.3.2. Market Size And Forecast, By Deployment Model
7.5.5.3.3. Market Size And Forecast, By Application
Chapter 8: Competitive Landscape
8.1. Introduction
8.1.1. Market Player Positioning, 2018
8.1.2. Top Winning Strategies
8.1.3. Company Snapshot
8.1.4. Operating Business Segments
8.1.5. Product Portfolio
8.1.6. R&D Expenditure
8.1.7. Business Performance
8.2. Stats Perform
8.2.1. Company Overview
8.2.2. Key Executives
8.2.3. Company Snapshot
8.2.4. Product Portfolio
8.2.5. Key Strategic Moves And Developments
8.3. Oracle Corporation
8.3.1. Company Overview
8.3.2. Key Executives
8.3.3. Company Snapshot
8.3.4. Operating Business Segments
8.3.5. Product Portfolio
8.3.6. R&D Expenditure
8.3.7. Business Performance
8.3.8. Key Strategic Moves And Developments
8.4. Sas Institute Inc.
8.4.1. Company Overview
8.4.2. Key Executives
8.4.3. Company Snapshot
8.4.4. Product Portfolio
8.4.5. Business Performance
8.4.6. Key Strategic Moves And Developments
8.5. International Business Machines Corporation
8.5.1. Company Overview
8.5.2. Key Executives
8.5.3. Company Snapshot
8.5.4. Operating Business Segments
8.5.5. Product Portfolio
8.5.6. R&D Expenditure
8.5.7. Business Performance
8.5.8. Key Strategic Moves And Developments
8.6. Sap Se
8.6.1. Company Overview
8.6.2. Key Executives
8.6.3. Company Snapshot
8.6.4. Operating Business Segments
8.6.5. Product Portfolio
8.6.6. R&D Expenditure
8.6.7. Business Performance
8.6.8. Key Strategic Moves And Developments
8.7. Opta Sports
8.7.1. Company Overview
8.7.2. Key Executives
8.7.3. Company Snapshot
8.7.4. Product Portfolio
8.7.5. Key Strategic Moves And Developments
8.8. Trumedia Networks.
8.8.1. Company Overview
8.8.2. Key Executives
8.8.3. Company Snapshot
8.8.4. Product Portfolio
8.8.5. Key Strategic Moves And Developments
8.9. Sportradar Ag
8.9.1. Company Overview
8.9.2. Key Executives
8.9.3. Company Snapshot
8.9.4. Product Portfolio
8.9.5. Key Strategic Moves And Developments
8.10. Nelison Sports.
8.10.1. Company Overview
8.10.2. Key Executives
8.10.3. Company Snapshot
8.10.4. Product Portfolio
8.10.5. Key Strategic Moves And Developments
*Full List of Tables and Figures Available on Enquiry.

Executive Summary

According to the report titled, 'Sports Analytics Market by Component, Deployment Mode, and Application: Global Opportunity Analysis and Industry Forecast, 2019-2026', the global market was valued at $425.76 million in 2018, and the sports analytics software market forecast is projected to reach $6.376 billion by 2026, growing at a CAGR of 40.40% from 2019 to 2026.

Sports analytics are used by different professionals’ team and sports organization to efficiently and effectively manage the performance of the individual and the team. The primary goal of sports analytics is to analyze the team data and identify different correlation, patterns that will help in improving the decision-making process. Thus, helping the sports organization to achieve better results. Numerous benefits associated with sports analytics software, such as real-time data availability of players, higher accuracy, and making of next level wearable devices are the lucrative factors that boost the market growth. Furthermore, increase in the amount of on-field data and surge in the monitoring and tracking of data of players are the major factors that drive the growth of the market. In addition, rise in time required for accessing the real-time data and increase in demand for predictive insights of fans preferences fuel the growth of the market. Moreover, high investment and maintenance cost and lack of awareness regarding sports technology hamper the growth of the sports analytics market. Furthermore, availability of cost-effective and high-end computing solutions and increase in demand for analytics for complex data streaming are anticipated to provide lucrative opportunity for the sports analytics market growth.

The solution segment dominated the sports analytics market industry in 2018 and is projected to maintain its dominance during the forecast period, owing to rise in adoption of this systems by large sports organizations for improving the performance of their team as well as their player and increasing their fan base. Furthermore, the service segment is expected to grow at a significant CAGR during the forecast period, owing to surge in the adoption of different services by various small sports clubs for improving their playing style.

The marketing/sales segment is expected to garner significant global sports analytics market share, owing to factor such as adoption of this software for various different promotional and marketing activities. However, player analysis and health assessment are expected to grow at a highest rate during the forecast period, owing to increase in need to improve the performance of the player and keeping players away from several injuries.

By region, the global sports analytics market size was dominated by North America in 2018 and is expected to maintain this trend during the forecast period. The major factors that drive the growth of the sports analytics market in this region include rise in different initiatives by the sports club to improve the performance of their team and to increase their fan base and revenue opportunity. However, Asia-Pacific is expected to witness the highest growth rate during the forecast period due to rise in new sports organizations and increase in investment in sports technology by various public and private companies.

Key Findings of the Sports Analytics Market:
By component, the solution segment led the sports analytics market size in terms of revenue in 2018.
By deployment mode, the large enterprises accounted for the highest sports analytics share in 2018.
By region, North America generated the highest revenue in 2018.

The key players profiled in the sport analytics market analysis are IBM Corporation, Oracle Corporation, SAP SE, Stats Perform, Nielson Sports, Tableau Software, SAS Institute, Opta Sports, Trumedia Networks, and Sportradar AG.

Companies Mentioned

  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Stats Perform
  • Nielson Sports
  • Tableau Software
  • SAS Institute
  • Opta Sports
  • Trumedia Networks
  • Sportradar AG.

Methodology

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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