Global Automotive Public Cloud 麻豆原创 Research Report 2024

Publication ID:

PB512243119

Publication Date:

December 13, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Automotive Public Cloud was valued at US$ 393 million in the year 2023 and is projected to reach a revised size of US$ 2408 million by 2030, growing at a CAGR of 28.1% during the forecast period.
The automotive public cloud is a cloud computing service provided by a third-party cloud service provider that is customised specifically for the automotive industry. It allows automotive manufacturers, suppliers, and other related businesses to host their data, applications, and services in a public cloud environment without having to build or maintain their own data centres. Such cloud environments are typically multi-tenant, meaning that different customers can share the same hardware and software resources, but their respective data and applications are independent.
North American market for Automotive Public Cloud is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Automotive Public Cloud is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Automotive Public Cloud in ADAS is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Automotive Public Cloud include Amazon Web Services, Microsoft, Google, Alibaba Cloud, Huawei, Baidu, Volcano Engine, KubeEdge, Tencent, PATEO, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Automotive Public Cloud, 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 Automotive Public Cloud.
The Automotive Public Cloud market size, estimations, and forecasts are provided in terms of and 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 Automotive Public Cloud 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 Automotive Public Cloud companies, new entrants, and industry chain related companies in this market with information on the revenues 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
Amazon Web Services
Microsoft
Google
Alibaba Cloud
Huawei
Baidu
Volcano Engine
KubeEdge
Tencent
PATEO
Segment by Type
IaaS
PaaS
SaaS
Segment by Application
ADAS
Internet of Vehicles
V2X
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
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 Automotive Public Cloud company 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 Automotive Public Cloud 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 IaaS
1.2.3 PaaS
1.2.4 SaaS
1.3 麻豆原创 by Application
1.3.1 Global Automotive Public Cloud 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 ADAS
1.3.3 Internet of Vehicles
1.3.4 V2X
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Automotive Public Cloud 麻豆原创 Perspective (2019-2030)
2.2 Global Automotive Public Cloud Growth Trends by Region
2.2.1 Global Automotive Public Cloud 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Automotive Public Cloud Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Automotive Public Cloud Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Automotive Public Cloud 麻豆原创 Dynamics
2.3.1 Automotive Public Cloud Industry Trends
2.3.2 Automotive Public Cloud 麻豆原创 Drivers
2.3.3 Automotive Public Cloud 麻豆原创 Challenges
2.3.4 Automotive Public Cloud 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Automotive Public Cloud Players by Revenue
3.1.1 Global Top Automotive Public Cloud Players by Revenue (2019-2024)
3.1.2 Global Automotive Public Cloud Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Automotive Public Cloud 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Automotive Public Cloud Revenue
3.4 Global Automotive Public Cloud 麻豆原创 Concentration Ratio
3.4.1 Global Automotive Public Cloud 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Automotive Public Cloud Revenue in 2023
3.5 Global Key Players of Automotive Public Cloud Head office and Area Served
3.6 Global Key Players of Automotive Public Cloud, Product and Application
3.7 Global Key Players of Automotive Public Cloud, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Automotive Public Cloud Breakdown Data by Type
4.1 Global Automotive Public Cloud Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Automotive Public Cloud Forecasted 麻豆原创 Size by Type (2025-2030)
5 Automotive Public Cloud Breakdown Data by Application
5.1 Global Automotive Public Cloud Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Automotive Public Cloud Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Automotive Public Cloud 麻豆原创 Size (2019-2030)
6.2 North America Automotive Public Cloud 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Automotive Public Cloud 麻豆原创 Size by Country (2019-2024)
6.4 North America Automotive Public Cloud 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Automotive Public Cloud 麻豆原创 Size (2019-2030)
7.2 Europe Automotive Public Cloud 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Automotive Public Cloud 麻豆原创 Size by Country (2019-2024)
7.4 Europe Automotive Public Cloud 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 Automotive Public Cloud 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Automotive Public Cloud 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Automotive Public Cloud 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Automotive Public Cloud 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 Automotive Public Cloud 麻豆原创 Size (2019-2030)
9.2 Latin America Automotive Public Cloud 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Automotive Public Cloud 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Automotive Public Cloud 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Automotive Public Cloud 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Automotive Public Cloud 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Automotive Public Cloud 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Automotive Public Cloud 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 Amazon Web Services
11.1.1 Amazon Web Services Company Details
11.1.2 Amazon Web Services Business Overview
11.1.3 Amazon Web Services Automotive Public Cloud Introduction
11.1.4 Amazon Web Services Revenue in Automotive Public Cloud Business (2019-2024)
11.1.5 Amazon Web Services Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Details
11.2.2 Microsoft Business Overview
11.2.3 Microsoft Automotive Public Cloud Introduction
11.2.4 Microsoft Revenue in Automotive Public Cloud Business (2019-2024)
11.2.5 Microsoft Recent Development
11.3 Google
11.3.1 Google Company Details
11.3.2 Google Business Overview
11.3.3 Google Automotive Public Cloud Introduction
11.3.4 Google Revenue in Automotive Public Cloud Business (2019-2024)
11.3.5 Google Recent Development
11.4 Alibaba Cloud
11.4.1 Alibaba Cloud Company Details
11.4.2 Alibaba Cloud Business Overview
11.4.3 Alibaba Cloud Automotive Public Cloud Introduction
11.4.4 Alibaba Cloud Revenue in Automotive Public Cloud Business (2019-2024)
11.4.5 Alibaba Cloud Recent Development
11.5 Huawei
11.5.1 Huawei Company Details
11.5.2 Huawei Business Overview
11.5.3 Huawei Automotive Public Cloud Introduction
11.5.4 Huawei Revenue in Automotive Public Cloud Business (2019-2024)
11.5.5 Huawei Recent Development
11.6 Baidu
11.6.1 Baidu Company Details
11.6.2 Baidu Business Overview
11.6.3 Baidu Automotive Public Cloud Introduction
11.6.4 Baidu Revenue in Automotive Public Cloud Business (2019-2024)
11.6.5 Baidu Recent Development
11.7 Volcano Engine
11.7.1 Volcano Engine Company Details
11.7.2 Volcano Engine Business Overview
11.7.3 Volcano Engine Automotive Public Cloud Introduction
11.7.4 Volcano Engine Revenue in Automotive Public Cloud Business (2019-2024)
11.7.5 Volcano Engine Recent Development
11.8 KubeEdge
11.8.1 KubeEdge Company Details
11.8.2 KubeEdge Business Overview
11.8.3 KubeEdge Automotive Public Cloud Introduction
11.8.4 KubeEdge Revenue in Automotive Public Cloud Business (2019-2024)
11.8.5 KubeEdge Recent Development
11.9 Tencent
11.9.1 Tencent Company Details
11.9.2 Tencent Business Overview
11.9.3 Tencent Automotive Public Cloud Introduction
11.9.4 Tencent Revenue in Automotive Public Cloud Business (2019-2024)
11.9.5 Tencent Recent Development
11.10 PATEO
11.10.1 PATEO Company Details
11.10.2 PATEO Business Overview
11.10.3 PATEO Automotive Public Cloud Introduction
11.10.4 PATEO Revenue in Automotive Public Cloud Business (2019-2024)
11.10.5 PATEO Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Amazon Web Services
Microsoft
Google
Alibaba Cloud
Huawei
Baidu
Volcano Engine
KubeEdge
Tencent
PATEO

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