AI in Sports - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511244502

Publication Date:

November 4, 2024

Pages:

105

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for AI in Sports was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with 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$432.8 billion in 2022, a year-on-year increase of 19.90%, including software, hardware and services.
Report Scope
This report aims to provide a comprehensive presentation of the global market for AI in Sports, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI in Sports by region & country, by Type, and by Application.
The AI in Sports market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
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
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of AI in Sports manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of AI in Sports in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of AI in Sports in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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

Table Of Contents:

1 麻豆原创 Overview
1.1 AI in Sports Product Introduction
1.2 Global AI in Sports 麻豆原创 Size Forecast
1.3 AI in Sports 麻豆原创 Trends & Drivers
1.3.1 AI in Sports Industry Trends
1.3.2 AI in Sports 麻豆原创 Drivers & Opportunity
1.3.3 AI in Sports 麻豆原创 Challenges
1.3.4 AI in Sports 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI in Sports Players Revenue Ranking (2023)
2.2 Global AI in Sports Revenue by Company (2019-2024)
2.3 Key Companies AI in Sports Manufacturing Base Distribution and Headquarters
2.4 Key Companies AI in Sports Product Offered
2.5 Key Companies Time to Begin Mass Production of AI in Sports
2.6 AI in Sports 麻豆原创 Competitive Analysis
2.6.1 AI in Sports 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by AI in Sports Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI in Sports as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Hardware
3.1.2 Software
3.1.3 Services
3.2 Global AI in Sports Sales Value by Type
3.2.1 Global AI in Sports Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global AI in Sports Sales Value, by Type (2019-2030)
3.2.3 Global AI in Sports Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Cricket
4.1.2 Football
4.1.3 Basketball
4.1.4 Tennis
4.1.5 Baseball
4.1.6 Others
4.2 Global AI in Sports Sales Value by Application
4.2.1 Global AI in Sports Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global AI in Sports Sales Value, by Application (2019-2030)
4.2.3 Global AI in Sports Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global AI in Sports Sales Value by Region
5.1.1 Global AI in Sports Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global AI in Sports Sales Value by Region (2019-2024)
5.1.3 Global AI in Sports Sales Value by Region (2025-2030)
5.1.4 Global AI in Sports Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America AI in Sports Sales Value, 2019-2030
5.2.2 North America AI in Sports Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe AI in Sports Sales Value, 2019-2030
5.3.2 Europe AI in Sports Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific AI in Sports Sales Value, 2019-2030
5.4.2 Asia Pacific AI in Sports Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America AI in Sports Sales Value, 2019-2030
5.5.2 South America AI in Sports Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI in Sports Sales Value, 2019-2030
5.6.2 Middle East & Africa AI in Sports Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI in Sports Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions AI in Sports Sales Value
6.3 United States
6.3.1 United States AI in Sports Sales Value, 2019-2030
6.3.2 United States AI in Sports Sales Value by Type (%), 2023 VS 2030
6.3.3 United States AI in Sports Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe AI in Sports Sales Value, 2019-2030
6.4.2 Europe AI in Sports Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe AI in Sports Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China AI in Sports Sales Value, 2019-2030
6.5.2 China AI in Sports Sales Value by Type (%), 2023 VS 2030
6.5.3 China AI in Sports Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan AI in Sports Sales Value, 2019-2030
6.6.2 Japan AI in Sports Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan AI in Sports Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea AI in Sports Sales Value, 2019-2030
6.7.2 South Korea AI in Sports Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea AI in Sports Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia AI in Sports Sales Value, 2019-2030
6.8.2 Southeast Asia AI in Sports Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia AI in Sports Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India AI in Sports Sales Value, 2019-2030
6.9.2 India AI in Sports Sales Value by Type (%), 2023 VS 2030
6.9.3 India AI in Sports Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 24/7.ai Inc.
7.1.1 24/7.ai Inc. Profile
7.1.2 24/7.ai Inc. Main Business
7.1.3 24/7.ai Inc. AI in Sports Products, Services and Solutions
7.1.4 24/7.ai Inc. AI in Sports Revenue (US$ Million) & (2019-2024)
7.1.5 24/7.ai Inc. Recent Developments
7.2 Amazon Inc.
7.2.1 Amazon Inc. Profile
7.2.2 Amazon Inc. Main Business
7.2.3 Amazon Inc. AI in Sports Products, Services and Solutions
7.2.4 Amazon Inc. AI in Sports Revenue (US$ Million) & (2019-2024)
7.2.5 Amazon Inc. Recent Developments
7.3 Apple Inc.
7.3.1 Apple Inc. Profile
7.3.2 Apple Inc. Main Business
7.3.3 Apple Inc. AI in Sports Products, Services and Solutions
7.3.4 Apple Inc. AI in Sports Revenue (US$ Million) & (2019-2024)
7.3.5 Anodot Recent Developments
7.4 Anodot
7.4.1 Anodot Profile
7.4.2 Anodot Main Business
7.4.3 Anodot AI in Sports Products, Services and Solutions
7.4.4 Anodot AI in Sports Revenue (US$ Million) & (2019-2024)
7.4.5 Anodot Recent Developments
7.5 Facebook Inc.
7.5.1 Facebook Inc. Profile
7.5.2 Facebook Inc. Main Business
7.5.3 Facebook Inc. AI in Sports Products, Services and Solutions
7.5.4 Facebook Inc. AI in Sports Revenue (US$ Million) & (2019-2024)
7.5.5 Facebook Inc. Recent Developments
7.6 Fujitsu Ltd.
7.6.1 Fujitsu Ltd. Profile
7.6.2 Fujitsu Ltd. Main Business
7.6.3 Fujitsu Ltd. AI in Sports Products, Services and Solutions
7.6.4 Fujitsu Ltd. AI in Sports Revenue (US$ Million) & (2019-2024)
7.6.5 Fujitsu Ltd. Recent Developments
7.7 Cisco Systems
7.7.1 Cisco Systems Profile
7.7.2 Cisco Systems Main Business
7.7.3 Cisco Systems AI in Sports Products, Services and Solutions
7.7.4 Cisco Systems AI in Sports Revenue (US$ Million) & (2019-2024)
7.7.5 Cisco Systems Recent Developments
7.8 DeepScale
7.8.1 DeepScale Profile
7.8.2 DeepScale Main Business
7.8.3 DeepScale AI in Sports Products, Services and Solutions
7.8.4 DeepScale AI in Sports Revenue (US$ Million) & (2019-2024)
7.8.5 DeepScale Recent Developments
7.9 Atmel Corporation
7.9.1 Atmel Corporation Profile
7.9.2 Atmel Corporation Main Business
7.9.3 Atmel Corporation AI in Sports Products, Services and Solutions
7.9.4 Atmel Corporation AI in Sports Revenue (US$ Million) & (2019-2024)
7.9.5 Atmel Corporation Recent Developments
7.10 ARM Limited
7.10.1 ARM Limited Profile
7.10.2 ARM Limited Main Business
7.10.3 ARM Limited AI in Sports Products, Services and Solutions
7.10.4 ARM Limited AI in Sports Revenue (US$ Million) & (2019-2024)
7.10.5 ARM Limited Recent Developments
7.11 Microsoft Corporation
7.11.1 Microsoft Corporation Profile
7.11.2 Microsoft Corporation Main Business
7.11.3 Microsoft Corporation AI in Sports Products, Services and Solutions
7.11.4 Microsoft Corporation AI in Sports Revenue (US$ Million) & (2019-2024)
7.11.5 Microsoft Corporation Recent Developments
7.12 Micron Technology
7.12.1 Micron Technology Profile
7.12.2 Micron Technology Main Business
7.12.3 Micron Technology AI in Sports Products, Services and Solutions
7.12.4 Micron Technology AI in Sports Revenue (US$ Million) & (2019-2024)
7.12.5 Micron Technology Recent Developments
8 Industry Chain Analysis
8.1 AI in Sports Industrial Chain
8.2 AI in Sports Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 AI in Sports Sales Model
8.5.2 Sales Channel
8.5.3 AI in Sports Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

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

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