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2021
Artificial Intelligence In Sports Market

Artificial Intelligence in Sports Market by Component (Software and Services), Deployment Model (On-Premises and Cloud), Technology (Computer Vision, Data Analytics, Machine Learning, Natural Language Processing and Others) and Application (Game Planning, Game Strategies, Performance Improvement, Injury Prevention, Sports Recruitment and Others): Global Opportunity Analysis and Industry Forecast, 2021–2030.

A12905
Pages: NA
Oct 2021 | 159 Views
   
Author(s) : Vineet Kumar
Tables: NA
Charts: NA
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COVID-19

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Artificial Intelligence in Sports Market Statistics: 2030

Artificial intelligence in sports is used to evaluate the performance of any players, and coaches where they need to evaluate various data points regarding individual players and collective performances. This enables to decide the role of various players on a team as per the metrics to examine individual contribution. Artificial intelligence in sports is used to draw connections between qualitative and quantitative variables, followed by calculating these variables to predict the corresponding value. Artificial intelligence can be used to identify patterns in opponent’s strategies, strengths, and weaknesses during the preparation for matches. The technology helps coaches prepare detailed game plans depending on the evaluation of the opponent’s tactics to maximize their opportunities to win. Enhancing the overall efficiency and effectiveness of teams, together with individual players, has huge implications as sports-associated activities and events have turned into a major industry over the past few decades.

Market scope and structure analysis:

Report Metric

Details

 Market size available for years

 2020–2030

 Base year considered 

 2020

 Forecast period

 2021–2030

 Forecast units

 Value ($)

 Segments covered

 Component, Deployment Model, Technology, Application and Region.

 Regions covered

North America (U.S. and Canada), Europe (Germany, UK, France, and rest of Europe), Asia-Pacific (China, Japan, India, and rest of Asia-Pacific), Latin America (Brazil, Mexico, and rest of LATAM) and Middle East & Africa

 Companies covered

Major players include: Active Intelligence Pte Ltd., [24]7.ai Inc., AIBrain Inc., Advanced Micro Devices Inc., Baidu Inc., Arm Limited, Apple Inc., Cisco Systems Inc., Amelia US LLC, Digital Reasoning Systems Inc.


COVID-19 Scenario Analysis:

  • The spread of COVID-19 pandemic has resulted into imposing of lockdown by the government to stop the spread. The pandemic affected the planned sports events and tournaments which were either cancelled or were postponed till further notice. When the pandemic situation was under control and sports were permitted to restart. At the same moment, spectators were not allowed to enter the stadium, which led to games being played and watched in empty stadiums.
  • With the help of artificial intelligence, sportsmen are able to hear their followers sound to make them feel like a fully crowded stadium for the players. This can be achieved with the help of AI-powered virtual reality program that collects the audience noise from followers and channels it inside the stadium during live games. AI-powered artificial crowd cheering and VR technology have changed sporting experience. More people will be able to participate in the games live in the near future than the stadium capacity allows.

Top impacting factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis

The adoption of latest technology in sports industry, increase in demand for monitoring and tracking data of players, data analysis using artificial intelligence and machine learning to generate real-time insights, and usage of chatbots and virtual assistants to interact with followers are the factors driving the growth of artificial intelligence in sports market. In addition, artificial intelligence in sports has applications like game planning, game strategies, performance improvement, injury prevention, and athlete recruitment which drives the market growth. However, the lack of trained & skilled professionals and high implementation and maintenance cost are the factors which hampers the artificial intelligence in sports market growth. Furthermore, the increased adoption of artificial intelligence and augmented intelligence to make decisions and adoption of predictive analysis to provide insights into future events for making predictions are the factors which are expected to provide lucrative opportunities to the growth of artificial intelligence in sports market.

The market trends for artificial intelligence in sports market are as follows:

Followers playing an important role for the market growth:

A game cannot be popular if it does not have followers to support the sports events and competitive matches. The popularity of a game depends upon the number of spectators visiting the stadiums. The followers want to participate, analyze, criticize, visualize, and connect with their favorite team members and teams in real-time. They are becoming true brand associates of tournaments. Data and analytics provide an insight into the follower’s preferences. Through segmenting, artificial intelligence can help teams to provide the promotional coupons to specific followers.

North America is expected to lead the market in the forecasted period:

The North America region is the home to one of the most dynamic national league systems throughout the world. There is a significant social and economic investment in the field of sports at the university and the club level. The U.S. is one of the world's leading sporting country throughout the world. Most of the American clubs and leagues are supported by the businesses and the region has the most highly skilled workforce in the world, and thus facilitating the growth of artificial intelligence in sports market.

Key segments covered:

 Segments

Sub segments

 Component

  • Software 
  • Services

 Deployment Model

  • On-Premises
  • Cloud

 Technology

  • Computer Vision
  • Data Analytics
  • Machine Learning
  • Natural Language Processing
  • Others

 Application

  • Game Planning
  • Game Strategies
  • Performance Improvement
  • Injury Prevention
  • Sports Recruitment  
  • Others


Key benefits of the report:

  • This study presents analytical depiction of the artificial intelligence in sports market along with the current trends and future estimations to determine the imminent investment pockets.
  • The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the artificial intelligence in sports market share.
  • The current market is quantitatively analyzed from 2021 to 2030 to highlight the market growth scenario.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the artificial intelligence in sports market.
  • The report provides a detailed market analysis based on the present and future competitive intensity of the market.

Questions answered in the artificial intelligence in sports market research report:

  • Who are the leading market players active in artificial intelligence in sports market?
  • What would be the detailed impact of COVID-19 on artificial intelligence in sports market?
  • What current trends would influence the market in the next few years??
  • What are the driving factors, restraints, and opportunities in the artificial intelligence in sports market?
  • What are the projections for the future that would help in taking further strategic steps?
 
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