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Global Artificial Intelligence in Sports Market by Technology (Natural Language Processing, Data Analytics, Machine Learning, Computer Vision), by Component (Services, Software), by Deployment Model (Cloud, On-Premises), by Application (Game Strategies, Performance Improvement, Game Planning, Sports Recruitment, Injury Prevention) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast To 2028

  • Report ID: SS-65929
  • Author: Up Market Research
  • Rating: 4.5
  • Total Reviews: 76
  • No. Of Pages: 226
  • Format:
  • Pub. Date: 2021-08-21
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Up Market Research published a new report titled “Artificial Intelligence in Sports Market research report which is segmented by Technology (Natural Language Processing, Data Analytics, Machine Learning, Computer Vision), by Component (Services, Software), by Deployment Model (Cloud, On-Premises), by Application (Game Strategies, Performance Improvement, Game Planning, Sports Recruitment, Injury Prevention), By Players/Companies Advanced Micro Devices Inc., [24]7.ai Inc., Cisco Systems Inc., Digital Reasoning Systems Inc., Arm Limited, Major players include: Active Intelligence Pte Ltd., Apple Inc., AIBrain Inc., Baidu Inc., Amelia US LLC”. As per the study the market is expected to grow at a CAGR of XX% in the forecast period.


Report Scope

Report AttributesReport Details
Report TitleArtificial Intelligence in Sports Market Research Report
By TechnologyNatural Language Processing, Data Analytics, Machine Learning, Computer Vision
By ComponentServices, Software
By Deployment ModelCloud, On-Premises
By ApplicationGame Strategies, Performance Improvement, Game Planning, Sports Recruitment, Injury Prevention
By CompaniesAdvanced Micro Devices Inc., [24]7.ai Inc., Cisco Systems Inc., Digital Reasoning Systems Inc., Arm Limited, Major players include: Active Intelligence Pte Ltd., Apple Inc., AIBrain Inc., Baidu Inc., Amelia US LLC
Regions CoveredNorth America, Europe, APAC, Latin America, MEA
Base Year2020
Historical Year2018 to 2019 (Data from 2010 can be provided as per availability)
Forecast Year2028
Number of Pages226
Number of Tables & Figures159
Customization AvailableYes, the report can be customized as per your need.

The report covers comprehensive data on emerging trends, market drivers, growth opportunities, and restraints that can change the market dynamics of the industry. It provides an in-depth analysis of the market segments which include products, applications, and competitor analysis.


Global Artificial Intelligence in Sports Industry Outlook

Global Artificial Intelligence in Sports Market Report Segments:

The market is segmented by Technology (Natural Language Processing, Data Analytics, Machine Learning, Computer Vision), by Component (Services, Software), by Deployment Model (Cloud, On-Premises), by Application (Game Strategies, Performance Improvement, Game Planning, Sports Recruitment, Injury Prevention).


Some of the companies that are profiled in this report are:

  1. Advanced Micro Devices Inc.
  2. [24]7.ai Inc.
  3. Cisco Systems Inc.
  4. Digital Reasoning Systems Inc.
  5. Arm Limited
  6. Major players include: Active Intelligence Pte Ltd.
  7. Apple Inc.
  8. AIBrain Inc.
  9. Baidu Inc.
  10. Amelia US LLC

Artificial Intelligence in Sports Market research report delivers a close watch on leading competitors with strategic analysis, micro and macro market trend and scenarios, pricing analysis and a holistic overview of the market situations in the forecast period. It is a professional and a detailed report focusing on primary and secondary drivers, market share, leading segments and geographical analysis. Further, key players, major collaborations, merger & acquisitions along with trending innovation and business policies are reviewed in the report.


Key Benefits for Industry Participants & Stakeholders:

  • Industry drivers, restraints, and opportunities covered in the study
  • Neutral perspective on the market performance
  • Recent industry trends and developments
  • Competitive landscape & strategies of key players
  • Potential & niche segments and regions exhibiting promising growth covered
  • Historical, current, and projected market size, in terms of value
  • In-depth analysis of the Artificial Intelligence in Sports Market

Overview of the regional outlook of the Artificial Intelligence in Sports Market:

Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa (MEA). North America region is further bifurcated into countries such as U.S., and Canada. The Europe region is further categorized into U.K., France, Germany, Italy, Spain, Russia, and Rest of Europe. Asia Pacific is further segmented into China, Japan, South Korea, India, Australia, South East Asia, and Rest of Asia Pacific. Latin America region is further segmented into Brazil, Mexico, and Rest of Latin America, and the MEA region is further divided into GCC, Turkey, South Africa, and Rest of MEA.


Artificial Intelligence in Sports Market Overview

Highlights of The Artificial Intelligence in Sports Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of Artificial Intelligence in Sports Market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2028.
  5. Developments and trends in the market.
        6. By Technology:

                1. Natural Language Processing

                2. Data Analytics

                3. Machine Learning

                4. Computer Vision

        7. By Component:

                1. Services

                2. Software

        8. By Deployment Model:

                1. Cloud

                2. On-Premises

        9. By Application:

                1. Game Strategies

                2. Performance Improvement

                3. Game Planning

                4. Sports Recruitment

                5. Injury Prevention

  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Artificial Intelligence in Sports Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2028.


How you may use our products:

  • Correctly Positioning New Products
  • Market Entry Strategies
  • Business Expansion Strategies
  • Consumer Insights
  • Understanding Competition Scenario
  • Product & Brand Management
  • Channel & Customer Management
  • Identifying Appropriate Advertising Appeals

Artificial Intelligence in Sports Market Trends

Reasons to Purchase the Artificial Intelligence in Sports Market Report:

  • The report includes a plethora of information such as market dynamics scenario and opportunities during the forecast period
  • Segments and sub-segments include quantitative, qualitative, value (USD Million,) and volume (Units Million) data.
  • Regional, sub-regional, and country level data includes the demand and supply forces along with their influence on the market.
  • The competitive landscape comprises share of key players, new developments, and strategies in the last three years.
  • Comprehensive companies offering products, relevant financial information, recent developments, SWOT analysis, and strategies by these players.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Artificial Intelligence in Sports Market Overview
   4.1 Introduction 
      4.1.1 Market Taxonomy 
      4.1.2 Market Definition 
      4.1.3 Macro-Economic Factors Impacting the Market Growth 
   4.2 Artificial Intelligence in Sports Market Dynamics 
      4.2.1 Market Drivers 
      4.2.2 Market Restraints 
      4.2.3 Market Opportunity 
   4.3 Artificial Intelligence in Sports Market - Supply Chain Analysis 
      4.3.1 List of Key Suppliers 
      4.3.2 List of Key Distributors 
      4.3.3 List of Key Consumers 
   4.4 Key Forces Shaping the Artificial Intelligence in Sports Market 
      4.4.1 Bargaining Power of Suppliers 
      4.4.2 Bargaining Power of Buyers 
      4.4.3 Threat of Substitution 
      4.4.4 Threat of New Entrants 
      4.4.5 Competitive Rivalry 
   4.5 Global Artificial Intelligence in Sports Market Size & Forecast, 2018-2028 
      4.5.1 Artificial Intelligence in Sports Market Size and Y-o-Y Growth 
      4.5.2 Artificial Intelligence in Sports Market Absolute $ Opportunity 


Chapter 5 Global Artificial Intelligence in Sports Market Analysis and Forecast by Technology
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities by Technology
      5.1.2 Basis Point Share (BPS) Analysis by Technology
      5.1.3 Absolute $ Opportunity Assessment by Technology
   5.2 Artificial Intelligence in Sports Market Size Forecast by Technology
      5.2.1 Natural Language Processing
      5.2.2 Data Analytics
      5.2.3 Machine Learning
      5.2.4 Computer Vision
   5.3 Market Attractiveness Analysis by Technology

Chapter 6 Global Artificial Intelligence in Sports Market Analysis and Forecast by Component
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities by Component
      6.1.2 Basis Point Share (BPS) Analysis by Component
      6.1.3 Absolute $ Opportunity Assessment by Component
   6.2 Artificial Intelligence in Sports Market Size Forecast by Component
      6.2.1 Services
      6.2.2 Software
   6.3 Market Attractiveness Analysis by Component

Chapter 7 Global Artificial Intelligence in Sports Market Analysis and Forecast by Deployment Model
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities by Deployment Model
      7.1.2 Basis Point Share (BPS) Analysis by Deployment Model
      7.1.3 Absolute $ Opportunity Assessment by Deployment Model
   7.2 Artificial Intelligence in Sports Market Size Forecast by Deployment Model
      7.2.1 Cloud
      7.2.2 On-Premises
   7.3 Market Attractiveness Analysis by Deployment Model

Chapter 8 Global Artificial Intelligence in Sports Market Analysis and Forecast by Application
   8.1 Introduction
      8.1.1 Key Market Trends & Growth Opportunities by Application
      8.1.2 Basis Point Share (BPS) Analysis by Application
      8.1.3 Absolute $ Opportunity Assessment by Application
   8.2 Artificial Intelligence in Sports Market Size Forecast by Application
      8.2.1 Game Strategies
      8.2.2 Performance Improvement
      8.2.3 Game Planning
      8.2.4 Sports Recruitment
      8.2.5 Injury Prevention
   8.3 Market Attractiveness Analysis by Application

Chapter 9 Global Artificial Intelligence in Sports Market Analysis and Forecast by Region
   9.1 Introduction
      9.1.1 Key Market Trends & Growth Opportunities by Region
      9.1.2 Basis Point Share (BPS) Analysis by Region
      9.1.3 Absolute $ Opportunity Assessment by Region
   9.2 Artificial Intelligence in Sports Market Size Forecast by Region
      9.2.1 North America
      9.2.2 Europe
      9.2.3 Asia Pacific
      9.2.4 Latin America
      9.2.5 Middle East & Africa (MEA)
   9.3 Market Attractiveness Analysis by Region

Chapter 10 Coronavirus Disease (COVID-19) Impact 
   10.1 Introduction 
   10.2 Current & Future Impact Analysis 
   10.3 Economic Impact Analysis 
   10.4 Government Policies 
   10.5 Investment Scenario

Chapter 11 North America Artificial Intelligence in Sports Analysis and Forecast
   11.1 Introduction
   11.2 North America Artificial Intelligence in Sports Market Size Forecast by Country
      11.2.1 U.S.
      11.2.2 Canada
   11.3 Basis Point Share (BPS) Analysis by Country
   11.4 Absolute $ Opportunity Assessment by Country
   11.5 Market Attractiveness Analysis by Country
   11.6 North America Artificial Intelligence in Sports Market Size Forecast by Technology
      11.6.1 Natural Language Processing
      11.6.2 Data Analytics
      11.6.3 Machine Learning
      11.6.4 Computer Vision
   11.7 Basis Point Share (BPS) Analysis by Technology 
   11.8 Absolute $ Opportunity Assessment by Technology 
   11.9 Market Attractiveness Analysis by Technology
   11.10 North America Artificial Intelligence in Sports Market Size Forecast by Component
      11.10.1 Services
      11.10.2 Software
   11.11 Basis Point Share (BPS) Analysis by Component 
   11.12 Absolute $ Opportunity Assessment by Component 
   11.13 Market Attractiveness Analysis by Component
   11.14 North America Artificial Intelligence in Sports Market Size Forecast by Deployment Model
      11.14.1 Cloud
      11.14.2 On-Premises
   11.15 Basis Point Share (BPS) Analysis by Deployment Model 
   11.16 Absolute $ Opportunity Assessment by Deployment Model 
   11.17 Market Attractiveness Analysis by Deployment Model
   11.18 North America Artificial Intelligence in Sports Market Size Forecast by Application
      11.18.1 Game Strategies
      11.18.2 Performance Improvement
      11.18.3 Game Planning
      11.18.4 Sports Recruitment
      11.18.5 Injury Prevention
   11.19 Basis Point Share (BPS) Analysis by Application 
   11.20 Absolute $ Opportunity Assessment by Application 
   11.21 Market Attractiveness Analysis by Application

Chapter 12 Europe Artificial Intelligence in Sports Analysis and Forecast
   12.1 Introduction
   12.2 Europe Artificial Intelligence in Sports Market Size Forecast by Country
      12.2.1 Germany
      12.2.2 France
      12.2.3 Italy
      12.2.4 U.K.
      12.2.5 Spain
      12.2.6 Russia
      12.2.7 Rest of Europe
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 Europe Artificial Intelligence in Sports Market Size Forecast by Technology
      12.6.1 Natural Language Processing
      12.6.2 Data Analytics
      12.6.3 Machine Learning
      12.6.4 Computer Vision
   12.7 Basis Point Share (BPS) Analysis by Technology 
   12.8 Absolute $ Opportunity Assessment by Technology 
   12.9 Market Attractiveness Analysis by Technology
   12.10 Europe Artificial Intelligence in Sports Market Size Forecast by Component
      12.10.1 Services
      12.10.2 Software
   12.11 Basis Point Share (BPS) Analysis by Component 
   12.12 Absolute $ Opportunity Assessment by Component 
   12.13 Market Attractiveness Analysis by Component
   12.14 Europe Artificial Intelligence in Sports Market Size Forecast by Deployment Model
      12.14.1 Cloud
      12.14.2 On-Premises
   12.15 Basis Point Share (BPS) Analysis by Deployment Model 
   12.16 Absolute $ Opportunity Assessment by Deployment Model 
   12.17 Market Attractiveness Analysis by Deployment Model
   12.18 Europe Artificial Intelligence in Sports Market Size Forecast by Application
      12.18.1 Game Strategies
      12.18.2 Performance Improvement
      12.18.3 Game Planning
      12.18.4 Sports Recruitment
      12.18.5 Injury Prevention
   12.19 Basis Point Share (BPS) Analysis by Application 
   12.20 Absolute $ Opportunity Assessment by Application 
   12.21 Market Attractiveness Analysis by Application

Chapter 13 Asia Pacific Artificial Intelligence in Sports Analysis and Forecast
   13.1 Introduction
   13.2 Asia Pacific Artificial Intelligence in Sports Market Size Forecast by Country
      13.2.1 China
      13.2.2 Japan
      13.2.3 South Korea
      13.2.4 India
      13.2.5 Australia
      13.2.6 South East Asia (SEA)
      13.2.7 Rest of Asia Pacific (APAC)
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Asia Pacific Artificial Intelligence in Sports Market Size Forecast by Technology
      13.6.1 Natural Language Processing
      13.6.2 Data Analytics
      13.6.3 Machine Learning
      13.6.4 Computer Vision
   13.7 Basis Point Share (BPS) Analysis by Technology 
   13.8 Absolute $ Opportunity Assessment by Technology 
   13.9 Market Attractiveness Analysis by Technology
   13.10 Asia Pacific Artificial Intelligence in Sports Market Size Forecast by Component
      13.10.1 Services
      13.10.2 Software
   13.11 Basis Point Share (BPS) Analysis by Component 
   13.12 Absolute $ Opportunity Assessment by Component 
   13.13 Market Attractiveness Analysis by Component
   13.14 Asia Pacific Artificial Intelligence in Sports Market Size Forecast by Deployment Model
      13.14.1 Cloud
      13.14.2 On-Premises
   13.15 Basis Point Share (BPS) Analysis by Deployment Model 
   13.16 Absolute $ Opportunity Assessment by Deployment Model 
   13.17 Market Attractiveness Analysis by Deployment Model
   13.18 Asia Pacific Artificial Intelligence in Sports Market Size Forecast by Application
      13.18.1 Game Strategies
      13.18.2 Performance Improvement
      13.18.3 Game Planning
      13.18.4 Sports Recruitment
      13.18.5 Injury Prevention
   13.19 Basis Point Share (BPS) Analysis by Application 
   13.20 Absolute $ Opportunity Assessment by Application 
   13.21 Market Attractiveness Analysis by Application

Chapter 14 Latin America Artificial Intelligence in Sports Analysis and Forecast
   14.1 Introduction
   14.2 Latin America Artificial Intelligence in Sports Market Size Forecast by Country
      14.2.1 Brazil
      14.2.2 Mexico
      14.2.3 Rest of Latin America (LATAM)
   14.3 Basis Point Share (BPS) Analysis by Country
   14.4 Absolute $ Opportunity Assessment by Country
   14.5 Market Attractiveness Analysis by Country
   14.6 Latin America Artificial Intelligence in Sports Market Size Forecast by Technology
      14.6.1 Natural Language Processing
      14.6.2 Data Analytics
      14.6.3 Machine Learning
      14.6.4 Computer Vision
   14.7 Basis Point Share (BPS) Analysis by Technology 
   14.8 Absolute $ Opportunity Assessment by Technology 
   14.9 Market Attractiveness Analysis by Technology
   14.10 Latin America Artificial Intelligence in Sports Market Size Forecast by Component
      14.10.1 Services
      14.10.2 Software
   14.11 Basis Point Share (BPS) Analysis by Component 
   14.12 Absolute $ Opportunity Assessment by Component 
   14.13 Market Attractiveness Analysis by Component
   14.14 Latin America Artificial Intelligence in Sports Market Size Forecast by Deployment Model
      14.14.1 Cloud
      14.14.2 On-Premises
   14.15 Basis Point Share (BPS) Analysis by Deployment Model 
   14.16 Absolute $ Opportunity Assessment by Deployment Model 
   14.17 Market Attractiveness Analysis by Deployment Model
   14.18 Latin America Artificial Intelligence in Sports Market Size Forecast by Application
      14.18.1 Game Strategies
      14.18.2 Performance Improvement
      14.18.3 Game Planning
      14.18.4 Sports Recruitment
      14.18.5 Injury Prevention
   14.19 Basis Point Share (BPS) Analysis by Application 
   14.20 Absolute $ Opportunity Assessment by Application 
   14.21 Market Attractiveness Analysis by Application

Chapter 15 Middle East & Africa (MEA) Artificial Intelligence in Sports Analysis and Forecast
   15.1 Introduction
   15.2 Middle East & Africa (MEA) Artificial Intelligence in Sports Market Size Forecast by Country
      15.2.1 Saudi Arabia
      15.2.2 South Africa
      15.2.3 UAE
      15.2.4 Rest of Middle East & Africa (MEA)
   15.3 Basis Point Share (BPS) Analysis by Country
   15.4 Absolute $ Opportunity Assessment by Country
   15.5 Market Attractiveness Analysis by Country
   15.6 Middle East & Africa (MEA) Artificial Intelligence in Sports Market Size Forecast by Technology
      15.6.1 Natural Language Processing
      15.6.2 Data Analytics
      15.6.3 Machine Learning
      15.6.4 Computer Vision
   15.7 Basis Point Share (BPS) Analysis by Technology 
   15.8 Absolute $ Opportunity Assessment by Technology 
   15.9 Market Attractiveness Analysis by Technology
   15.10 Middle East & Africa (MEA) Artificial Intelligence in Sports Market Size Forecast by Component
      15.10.1 Services
      15.10.2 Software
   15.11 Basis Point Share (BPS) Analysis by Component 
   15.12 Absolute $ Opportunity Assessment by Component 
   15.13 Market Attractiveness Analysis by Component
   15.14 Middle East & Africa (MEA) Artificial Intelligence in Sports Market Size Forecast by Deployment Model
      15.14.1 Cloud
      15.14.2 On-Premises
   15.15 Basis Point Share (BPS) Analysis by Deployment Model 
   15.16 Absolute $ Opportunity Assessment by Deployment Model 
   15.17 Market Attractiveness Analysis by Deployment Model
   15.18 Middle East & Africa (MEA) Artificial Intelligence in Sports Market Size Forecast by Application
      15.18.1 Game Strategies
      15.18.2 Performance Improvement
      15.18.3 Game Planning
      15.18.4 Sports Recruitment
      15.18.5 Injury Prevention
   15.19 Basis Point Share (BPS) Analysis by Application 
   15.20 Absolute $ Opportunity Assessment by Application 
   15.21 Market Attractiveness Analysis by Application

Chapter 16 Competition Landscape 
   16.1 Artificial Intelligence in Sports Market: Competitive Dashboard
   16.2 Global Artificial Intelligence in Sports Market: Market Share Analysis, 2019
   16.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      16.3.1 Advanced Micro Devices Inc.
      16.3.2 [24]7.ai Inc.
      16.3.3 Cisco Systems Inc.
      16.3.4 Digital Reasoning Systems Inc.
      16.3.5 Arm Limited
      16.3.6 Major players include: Active Intelligence Pte Ltd.
      16.3.7 Apple Inc.
      16.3.8 AIBrain Inc.
      16.3.9 Baidu Inc.
      16.3.10 Amelia US LLC
Segments Covered in the Report
The global Artificial Intelligence in Sports market has been segmented based on

By Technology
  • Natural Language Processing
  • Data Analytics
  • Machine Learning
  • Computer Vision
By Component
  • Services
  • Software
By Deployment Model
  • Cloud
  • On-Premises
By Application
  • Game Strategies
  • Performance Improvement
  • Game Planning
  • Sports Recruitment
  • Injury Prevention
Regions
  • Asia Pacific
  • North America
  • Latin America
  • Europe
  • Middle East & Africa
Key Players
  • Advanced Micro Devices Inc.
  • [24]7.ai Inc.
  • Cisco Systems Inc.
  • Digital Reasoning Systems Inc.
  • Arm Limited
  • Major players include: Active Intelligence Pte Ltd.
  • Apple Inc.
  • AIBrain Inc.
  • Baidu Inc.
  • Amelia US LLC

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