Global AI in Sports 麻豆原创 Research Report 2024

Publication ID:

PB506247704

Publication Date:

June 7, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global AI in Sports market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate 鈧�9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.90%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for AI in Sports, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI in Sports.
Report Scope
The AI in Sports market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI in Sports market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI in Sports companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
24/7.ai Inc.
Amazon Inc.
Apple Inc.
Anodot
Facebook Inc.
Fujitsu Ltd.
Cisco Systems
DeepScale
Atmel Corporation
ARM Limited
Microsoft Corporation
Micron Technology
Segment by Type
Hardware
Software
Services
Segment by Application
Cricket
Football
Basketball
Tennis
Baseball
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI in Sports companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global AI in Sports 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 麻豆原创 by Application
1.3.1 Global AI in Sports 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Cricket
1.3.3 Football
1.3.4 Basketball
1.3.5 Tennis
1.3.6 Baseball
1.3.7 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI in Sports 麻豆原创 Perspective (2019-2030)
2.2 AI in Sports Growth Trends by Region
2.2.1 Global AI in Sports 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI in Sports Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 AI in Sports Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 AI in Sports 麻豆原创 Dynamics
2.3.1 AI in Sports Industry Trends
2.3.2 AI in Sports 麻豆原创 Drivers
2.3.3 AI in Sports 麻豆原创 Challenges
2.3.4 AI in Sports 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI in Sports Players by Revenue
3.1.1 Global Top AI in Sports Players by Revenue (2019-2024)
3.1.2 Global AI in Sports Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global AI in Sports 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI in Sports Revenue
3.4 Global AI in Sports 麻豆原创 Concentration Ratio
3.4.1 Global AI in Sports 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI in Sports Revenue in 2023
3.5 AI in Sports Key Players Head office and Area Served
3.6 Key Players AI in Sports Product Solution and Service
3.7 Date of Enter into AI in Sports 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 AI in Sports Breakdown Data by Type
4.1 Global AI in Sports Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global AI in Sports Forecasted 麻豆原创 Size by Type (2025-2030)
5 AI in Sports Breakdown Data by Application
5.1 Global AI in Sports Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global AI in Sports Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America AI in Sports 麻豆原创 Size (2019-2030)
6.2 North America AI in Sports 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI in Sports 麻豆原创 Size by Country (2019-2024)
6.4 North America AI in Sports 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI in Sports 麻豆原创 Size (2019-2030)
7.2 Europe AI in Sports 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI in Sports 麻豆原创 Size by Country (2019-2024)
7.4 Europe AI in Sports 麻豆原创 Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI in Sports 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific AI in Sports 麻豆原创 Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI in Sports 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific AI in Sports 麻豆原创 Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI in Sports 麻豆原创 Size (2019-2030)
9.2 Latin America AI in Sports 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI in Sports 麻豆原创 Size by Country (2019-2024)
9.4 Latin America AI in Sports 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI in Sports 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa AI in Sports 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI in Sports 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa AI in Sports 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 24/7.ai Inc.
11.1.1 24/7.ai Inc. Company Detail
11.1.2 24/7.ai Inc. Business Overview
11.1.3 24/7.ai Inc. AI in Sports Introduction
11.1.4 24/7.ai Inc. Revenue in AI in Sports Business (2019-2024)
11.1.5 24/7.ai Inc. Recent Development
11.2 Amazon Inc.
11.2.1 Amazon Inc. Company Detail
11.2.2 Amazon Inc. Business Overview
11.2.3 Amazon Inc. AI in Sports Introduction
11.2.4 Amazon Inc. Revenue in AI in Sports Business (2019-2024)
11.2.5 Amazon Inc. Recent Development
11.3 Apple Inc.
11.3.1 Apple Inc. Company Detail
11.3.2 Apple Inc. Business Overview
11.3.3 Apple Inc. AI in Sports Introduction
11.3.4 Apple Inc. Revenue in AI in Sports Business (2019-2024)
11.3.5 Apple Inc. Recent Development
11.4 Anodot
11.4.1 Anodot Company Detail
11.4.2 Anodot Business Overview
11.4.3 Anodot AI in Sports Introduction
11.4.4 Anodot Revenue in AI in Sports Business (2019-2024)
11.4.5 Anodot Recent Development
11.5 Facebook Inc.
11.5.1 Facebook Inc. Company Detail
11.5.2 Facebook Inc. Business Overview
11.5.3 Facebook Inc. AI in Sports Introduction
11.5.4 Facebook Inc. Revenue in AI in Sports Business (2019-2024)
11.5.5 Facebook Inc. Recent Development
11.6 Fujitsu Ltd.
11.6.1 Fujitsu Ltd. Company Detail
11.6.2 Fujitsu Ltd. Business Overview
11.6.3 Fujitsu Ltd. AI in Sports Introduction
11.6.4 Fujitsu Ltd. Revenue in AI in Sports Business (2019-2024)
11.6.5 Fujitsu Ltd. Recent Development
11.7 Cisco Systems
11.7.1 Cisco Systems Company Detail
11.7.2 Cisco Systems Business Overview
11.7.3 Cisco Systems AI in Sports Introduction
11.7.4 Cisco Systems Revenue in AI in Sports Business (2019-2024)
11.7.5 Cisco Systems Recent Development
11.8 DeepScale
11.8.1 DeepScale Company Detail
11.8.2 DeepScale Business Overview
11.8.3 DeepScale AI in Sports Introduction
11.8.4 DeepScale Revenue in AI in Sports Business (2019-2024)
11.8.5 DeepScale Recent Development
11.9 Atmel Corporation
11.9.1 Atmel Corporation Company Detail
11.9.2 Atmel Corporation Business Overview
11.9.3 Atmel Corporation AI in Sports Introduction
11.9.4 Atmel Corporation Revenue in AI in Sports Business (2019-2024)
11.9.5 Atmel Corporation Recent Development
11.10 ARM Limited
11.10.1 ARM Limited Company Detail
11.10.2 ARM Limited Business Overview
11.10.3 ARM Limited AI in Sports Introduction
11.10.4 ARM Limited Revenue in AI in Sports Business (2019-2024)
11.10.5 ARM Limited Recent Development
11.11 Microsoft Corporation
11.11.1 Microsoft Corporation Company Detail
11.11.2 Microsoft Corporation Business Overview
11.11.3 Microsoft Corporation AI in Sports Introduction
11.11.4 Microsoft Corporation Revenue in AI in Sports Business (2019-2024)
11.11.5 Microsoft Corporation Recent Development
11.12 Micron Technology
11.12.1 Micron Technology Company Detail
11.12.2 Micron Technology Business Overview
11.12.3 Micron Technology AI in Sports Introduction
11.12.4 Micron Technology Revenue in AI in Sports Business (2019-2024)
11.12.5 Micron Technology Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

24/7.ai Inc.
Amazon Inc.
Apple Inc.
Anodot
Facebook Inc.
Fujitsu Ltd.
Cisco Systems
DeepScale
Atmel Corporation
ARM Limited
Microsoft Corporation
Micron Technology

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.