Global Cloud Computing for Autonomous Driving Market Research Report 2024

Publication ID:

PB508243373

Publication Date:

August 28, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Cloud computing for autonomous driving is the use of cloud-based infrastructure, platforms, and services to support the development, deployment, and operation of autonomous vehicles (AVs). It plays a critical role in processing, analyzing, and managing the enormous amounts of data generated by autonomous driving systems. Cloud computing supports key functions like data storage, real-time analytics, AI model training, and vehicle-to-cloud communications, all of which are essential for developing and scaling autonomous driving solutions.
The global Cloud Computing for Autonomous Driving market was valued at US$ 1714 million in 2023 and is anticipated to reach US$ 4869 million by 2030, witnessing a CAGR of 16.1% during the forecast period 2024-2030.
North American market for Cloud Computing for Autonomous Driving 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 Cloud Computing for Autonomous Driving 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 Cloud Computing for Autonomous Driving in Passenger Vehicle 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 Cloud Computing for Autonomous Driving include Amazon Web Services (AWS), Microsoft Azure, Google Cloud, IBM Cloud, Oracle Cloud, Alibaba Cloud, Tencent Cloud, DigitalOcean, Wasabi, Huawei Cloud, 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 Cloud Computing for Autonomous Driving, 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 Cloud Computing for Autonomous Driving.
The Cloud Computing for Autonomous Driving 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 Cloud Computing for Autonomous Driving 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 Cloud Computing for Autonomous Driving 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.
Market Segmentation
By Company
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud
IBM Cloud
Oracle Cloud
Alibaba Cloud
Tencent Cloud
DigitalOcean
Wasabi
Huawei Cloud
Segment by Type
Private Cloud
Hybrid Cloud
Others
Segment by Application
Passenger Vehicle
Commercial Vehicle
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 Cloud Computing for Autonomous Driving 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 Market Analysis by Type
1.2.1 Global Cloud Computing for Autonomous Driving Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Private Cloud
1.2.3 Hybrid Cloud
1.2.4 Others
1.3 Market by Application
1.3.1 Global Cloud Computing for Autonomous Driving Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Passenger Vehicle
1.3.3 Commercial Vehicle
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Cloud Computing for Autonomous Driving Market Perspective (2019-2030)
2.2 Global Cloud Computing for Autonomous Driving Growth Trends by Region
2.2.1 Global Cloud Computing for Autonomous Driving Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Cloud Computing for Autonomous Driving Historic Market Size by Region (2019-2024)
2.2.3 Cloud Computing for Autonomous Driving Forecasted Market Size by Region (2025-2030)
2.3 Cloud Computing for Autonomous Driving Market Dynamics
2.3.1 Cloud Computing for Autonomous Driving Industry Trends
2.3.2 Cloud Computing for Autonomous Driving Market Drivers
2.3.3 Cloud Computing for Autonomous Driving Market Challenges
2.3.4 Cloud Computing for Autonomous Driving Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Cloud Computing for Autonomous Driving Players by Revenue
3.1.1 Global Top Cloud Computing for Autonomous Driving Players by Revenue (2019-2024)
3.1.2 Global Cloud Computing for Autonomous Driving Revenue Market Share by Players (2019-2024)
3.2 Global Cloud Computing for Autonomous Driving Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Cloud Computing for Autonomous Driving Revenue
3.4 Global Cloud Computing for Autonomous Driving Market Concentration Ratio
3.4.1 Global Cloud Computing for Autonomous Driving Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Cloud Computing for Autonomous Driving Revenue in 2023
3.5 Global Key Players of Cloud Computing for Autonomous Driving Head office and Area Served
3.6 Global Key Players of Cloud Computing for Autonomous Driving, Product and Application
3.7 Global Key Players of Cloud Computing for Autonomous Driving, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Cloud Computing for Autonomous Driving Breakdown Data by Type
4.1 Global Cloud Computing for Autonomous Driving Historic Market Size by Type (2019-2024)
4.2 Global Cloud Computing for Autonomous Driving Forecasted Market Size by Type (2025-2030)
5 Cloud Computing for Autonomous Driving Breakdown Data by Application
5.1 Global Cloud Computing for Autonomous Driving Historic Market Size by Application (2019-2024)
5.2 Global Cloud Computing for Autonomous Driving Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Cloud Computing for Autonomous Driving Market Size (2019-2030)
6.2 North America Cloud Computing for Autonomous Driving Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Cloud Computing for Autonomous Driving Market Size by Country (2019-2024)
6.4 North America Cloud Computing for Autonomous Driving Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Cloud Computing for Autonomous Driving Market Size (2019-2030)
7.2 Europe Cloud Computing for Autonomous Driving Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Cloud Computing for Autonomous Driving Market Size by Country (2019-2024)
7.4 Europe Cloud Computing for Autonomous Driving Market 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 Cloud Computing for Autonomous Driving Market Size (2019-2030)
8.2 Asia-Pacific Cloud Computing for Autonomous Driving Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Cloud Computing for Autonomous Driving Market Size by Region (2019-2024)
8.4 Asia-Pacific Cloud Computing for Autonomous Driving Market 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 Cloud Computing for Autonomous Driving Market Size (2019-2030)
9.2 Latin America Cloud Computing for Autonomous Driving Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Cloud Computing for Autonomous Driving Market Size by Country (2019-2024)
9.4 Latin America Cloud Computing for Autonomous Driving Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Cloud Computing for Autonomous Driving Market Size (2019-2030)
10.2 Middle East & Africa Cloud Computing for Autonomous Driving Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Cloud Computing for Autonomous Driving Market Size by Country (2019-2024)
10.4 Middle East & Africa Cloud Computing for Autonomous Driving Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Amazon Web Services (AWS)
11.1.1 Amazon Web Services (AWS) Company Details
11.1.2 Amazon Web Services (AWS) Business Overview
11.1.3 Amazon Web Services (AWS) Cloud Computing for Autonomous Driving Introduction
11.1.4 Amazon Web Services (AWS) Revenue in Cloud Computing for Autonomous Driving Business (2019-2024)
11.1.5 Amazon Web Services (AWS) Recent Development
11.2 Microsoft Azure
11.2.1 Microsoft Azure Company Details
11.2.2 Microsoft Azure Business Overview
11.2.3 Microsoft Azure Cloud Computing for Autonomous Driving Introduction
11.2.4 Microsoft Azure Revenue in Cloud Computing for Autonomous Driving Business (2019-2024)
11.2.5 Microsoft Azure Recent Development
11.3 Google Cloud
11.3.1 Google Cloud Company Details
11.3.2 Google Cloud Business Overview
11.3.3 Google Cloud Cloud Computing for Autonomous Driving Introduction
11.3.4 Google Cloud Revenue in Cloud Computing for Autonomous Driving Business (2019-2024)
11.3.5 Google Cloud Recent Development
11.4 IBM Cloud
11.4.1 IBM Cloud Company Details
11.4.2 IBM Cloud Business Overview
11.4.3 IBM Cloud Cloud Computing for Autonomous Driving Introduction
11.4.4 IBM Cloud Revenue in Cloud Computing for Autonomous Driving Business (2019-2024)
11.4.5 IBM Cloud Recent Development
11.5 Oracle Cloud
11.5.1 Oracle Cloud Company Details
11.5.2 Oracle Cloud Business Overview
11.5.3 Oracle Cloud Cloud Computing for Autonomous Driving Introduction
11.5.4 Oracle Cloud Revenue in Cloud Computing for Autonomous Driving Business (2019-2024)
11.5.5 Oracle Cloud Recent Development
11.6 Alibaba Cloud
11.6.1 Alibaba Cloud Company Details
11.6.2 Alibaba Cloud Business Overview
11.6.3 Alibaba Cloud Cloud Computing for Autonomous Driving Introduction
11.6.4 Alibaba Cloud Revenue in Cloud Computing for Autonomous Driving Business (2019-2024)
11.6.5 Alibaba Cloud Recent Development
11.7 Tencent Cloud
11.7.1 Tencent Cloud Company Details
11.7.2 Tencent Cloud Business Overview
11.7.3 Tencent Cloud Cloud Computing for Autonomous Driving Introduction
11.7.4 Tencent Cloud Revenue in Cloud Computing for Autonomous Driving Business (2019-2024)
11.7.5 Tencent Cloud Recent Development
11.8 DigitalOcean
11.8.1 DigitalOcean Company Details
11.8.2 DigitalOcean Business Overview
11.8.3 DigitalOcean Cloud Computing for Autonomous Driving Introduction
11.8.4 DigitalOcean Revenue in Cloud Computing for Autonomous Driving Business (2019-2024)
11.8.5 DigitalOcean Recent Development
11.9 Wasabi
11.9.1 Wasabi Company Details
11.9.2 Wasabi Business Overview
11.9.3 Wasabi Cloud Computing for Autonomous Driving Introduction
11.9.4 Wasabi Revenue in Cloud Computing for Autonomous Driving Business (2019-2024)
11.9.5 Wasabi Recent Development
11.10 Huawei Cloud
11.10.1 Huawei Cloud Company Details
11.10.2 Huawei Cloud Business Overview
11.10.3 Huawei Cloud Cloud Computing for Autonomous Driving Introduction
11.10.4 Huawei Cloud Revenue in Cloud Computing for Autonomous Driving Business (2019-2024)
11.10.5 Huawei Cloud 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 Market Size Estimation
13.1.1.3 Market 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 (AWS)
Microsoft Azure
Google Cloud
IBM Cloud
Oracle Cloud
Alibaba Cloud
Tencent Cloud
DigitalOcean
Wasabi
Huawei Cloud

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