High Performance Computing for Automotive - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511245413

Publication Date:

November 15, 2024

Pages:

105

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for High Performance Computing for Automotive was estimated to be worth US$ 1238.4 million in 2023 and is forecast to a readjusted size of US$ 2316.6 million by 2030 with a CAGR of 9.4% during the forecast period 2024-2030
High performance computing platforms are the hardware guarantee for the development of automotive intelligence. With the continuous enrichment and upgrading of intelligent driving functions, the requirements for high-performance computing platforms from host manufacturers are constantly increasing, and the demand for high-performance computing chips is also gradually increasing. It is expected that the market size of high-performance computing for automobiles will continue to expand in the future.
Report Scope
This report aims to provide a comprehensive presentation of the global market for High Performance Computing for Automotive, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of High Performance Computing for Automotive by region & country, by Type, and by Application.
The High Performance Computing for Automotive 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 High Performance Computing for Automotive.
Market Segmentation
By Company
NXP
Continental AG
Bosch
Microsoft
Rescale
NVIDIA
ZF Friedrichshafen AG
Amazon
BlackBerry
Huawei
Qualcomm
Segment by Type:
Software
Hardware
Service
Segment by Application
Automated Driving
Vehicle Safety & Motion
Other
By Region
North America
United States
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 High Performance Computing for Automotive 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 High Performance Computing for Automotive 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 High Performance Computing for Automotive 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 Market Overview
1.1 High Performance Computing for Automotive Product Introduction
1.2 Global High Performance Computing for Automotive Market Size Forecast
1.3 High Performance Computing for Automotive Market Trends & Drivers
1.3.1 High Performance Computing for Automotive Industry Trends
1.3.2 High Performance Computing for Automotive Market Drivers & Opportunity
1.3.3 High Performance Computing for Automotive Market Challenges
1.3.4 High Performance Computing for Automotive Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global High Performance Computing for Automotive Players Revenue Ranking (2023)
2.2 Global High Performance Computing for Automotive Revenue by Company (2019-2024)
2.3 Key Companies High Performance Computing for Automotive Manufacturing Base Distribution and Headquarters
2.4 Key Companies High Performance Computing for Automotive Product Offered
2.5 Key Companies Time to Begin Mass Production of High Performance Computing for Automotive
2.6 High Performance Computing for Automotive Market Competitive Analysis
2.6.1 High Performance Computing for Automotive Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by High Performance Computing for Automotive Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in High Performance Computing for Automotive as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Software
3.1.2 Hardware
3.1.3 Service
3.2 Global High Performance Computing for Automotive Sales Value by Type
3.2.1 Global High Performance Computing for Automotive Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global High Performance Computing for Automotive Sales Value, by Type (2019-2030)
3.2.3 Global High Performance Computing for Automotive Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Automated Driving
4.1.2 Vehicle Safety & Motion
4.1.3 Other
4.2 Global High Performance Computing for Automotive Sales Value by Application
4.2.1 Global High Performance Computing for Automotive Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global High Performance Computing for Automotive Sales Value, by Application (2019-2030)
4.2.3 Global High Performance Computing for Automotive Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global High Performance Computing for Automotive Sales Value by Region
5.1.1 Global High Performance Computing for Automotive Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global High Performance Computing for Automotive Sales Value by Region (2019-2024)
5.1.3 Global High Performance Computing for Automotive Sales Value by Region (2025-2030)
5.1.4 Global High Performance Computing for Automotive Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America High Performance Computing for Automotive Sales Value, 2019-2030
5.2.2 North America High Performance Computing for Automotive Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe High Performance Computing for Automotive Sales Value, 2019-2030
5.3.2 Europe High Performance Computing for Automotive Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific High Performance Computing for Automotive Sales Value, 2019-2030
5.4.2 Asia Pacific High Performance Computing for Automotive Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America High Performance Computing for Automotive Sales Value, 2019-2030
5.5.2 South America High Performance Computing for Automotive Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa High Performance Computing for Automotive Sales Value, 2019-2030
5.6.2 Middle East & Africa High Performance Computing for Automotive Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions High Performance Computing for Automotive Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions High Performance Computing for Automotive Sales Value
6.3 United States
6.3.1 United States High Performance Computing for Automotive Sales Value, 2019-2030
6.3.2 United States High Performance Computing for Automotive Sales Value by Type (%), 2023 VS 2030
6.3.3 United States High Performance Computing for Automotive Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe High Performance Computing for Automotive Sales Value, 2019-2030
6.4.2 Europe High Performance Computing for Automotive Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe High Performance Computing for Automotive Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China High Performance Computing for Automotive Sales Value, 2019-2030
6.5.2 China High Performance Computing for Automotive Sales Value by Type (%), 2023 VS 2030
6.5.3 China High Performance Computing for Automotive Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan High Performance Computing for Automotive Sales Value, 2019-2030
6.6.2 Japan High Performance Computing for Automotive Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan High Performance Computing for Automotive Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea High Performance Computing for Automotive Sales Value, 2019-2030
6.7.2 South Korea High Performance Computing for Automotive Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea High Performance Computing for Automotive Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia High Performance Computing for Automotive Sales Value, 2019-2030
6.8.2 Southeast Asia High Performance Computing for Automotive Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia High Performance Computing for Automotive Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India High Performance Computing for Automotive Sales Value, 2019-2030
6.9.2 India High Performance Computing for Automotive Sales Value by Type (%), 2023 VS 2030
6.9.3 India High Performance Computing for Automotive Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 NXP
7.1.1 NXP Profile
7.1.2 NXP Main Business
7.1.3 NXP High Performance Computing for Automotive Products, Services and Solutions
7.1.4 NXP High Performance Computing for Automotive Revenue (US$ Million) & (2019-2024)
7.1.5 NXP Recent Developments
7.2 Continental AG
7.2.1 Continental AG Profile
7.2.2 Continental AG Main Business
7.2.3 Continental AG High Performance Computing for Automotive Products, Services and Solutions
7.2.4 Continental AG High Performance Computing for Automotive Revenue (US$ Million) & (2019-2024)
7.2.5 Continental AG Recent Developments
7.3 Bosch
7.3.1 Bosch Profile
7.3.2 Bosch Main Business
7.3.3 Bosch High Performance Computing for Automotive Products, Services and Solutions
7.3.4 Bosch High Performance Computing for Automotive Revenue (US$ Million) & (2019-2024)
7.3.5 Microsoft Recent Developments
7.4 Microsoft
7.4.1 Microsoft Profile
7.4.2 Microsoft Main Business
7.4.3 Microsoft High Performance Computing for Automotive Products, Services and Solutions
7.4.4 Microsoft High Performance Computing for Automotive Revenue (US$ Million) & (2019-2024)
7.4.5 Microsoft Recent Developments
7.5 Rescale
7.5.1 Rescale Profile
7.5.2 Rescale Main Business
7.5.3 Rescale High Performance Computing for Automotive Products, Services and Solutions
7.5.4 Rescale High Performance Computing for Automotive Revenue (US$ Million) & (2019-2024)
7.5.5 Rescale Recent Developments
7.6 NVIDIA
7.6.1 NVIDIA Profile
7.6.2 NVIDIA Main Business
7.6.3 NVIDIA High Performance Computing for Automotive Products, Services and Solutions
7.6.4 NVIDIA High Performance Computing for Automotive Revenue (US$ Million) & (2019-2024)
7.6.5 NVIDIA Recent Developments
7.7 ZF Friedrichshafen AG
7.7.1 ZF Friedrichshafen AG Profile
7.7.2 ZF Friedrichshafen AG Main Business
7.7.3 ZF Friedrichshafen AG High Performance Computing for Automotive Products, Services and Solutions
7.7.4 ZF Friedrichshafen AG High Performance Computing for Automotive Revenue (US$ Million) & (2019-2024)
7.7.5 ZF Friedrichshafen AG Recent Developments
7.8 Amazon
7.8.1 Amazon Profile
7.8.2 Amazon Main Business
7.8.3 Amazon High Performance Computing for Automotive Products, Services and Solutions
7.8.4 Amazon High Performance Computing for Automotive Revenue (US$ Million) & (2019-2024)
7.8.5 Amazon Recent Developments
7.9 BlackBerry
7.9.1 BlackBerry Profile
7.9.2 BlackBerry Main Business
7.9.3 BlackBerry High Performance Computing for Automotive Products, Services and Solutions
7.9.4 BlackBerry High Performance Computing for Automotive Revenue (US$ Million) & (2019-2024)
7.9.5 BlackBerry Recent Developments
7.10 Huawei
7.10.1 Huawei Profile
7.10.2 Huawei Main Business
7.10.3 Huawei High Performance Computing for Automotive Products, Services and Solutions
7.10.4 Huawei High Performance Computing for Automotive Revenue (US$ Million) & (2019-2024)
7.10.5 Huawei Recent Developments
7.11 Qualcomm
7.11.1 Qualcomm Profile
7.11.2 Qualcomm Main Business
7.11.3 Qualcomm High Performance Computing for Automotive Products, Services and Solutions
7.11.4 Qualcomm High Performance Computing for Automotive Revenue (US$ Million) & (2019-2024)
7.11.5 Qualcomm Recent Developments
8 Industry Chain Analysis
8.1 High Performance Computing for Automotive Industrial Chain
8.2 High Performance Computing for Automotive 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 High Performance Computing for Automotive Sales Model
8.5.2 Sales Channel
8.5.3 High Performance Computing for Automotive 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:

NXP
Continental AG
Bosch
Microsoft
Rescale
NVIDIA
ZF Friedrichshafen AG
Amazon
BlackBerry
Huawei
Qualcomm

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