Vehicle embedded software is the pre-built software of the car, with the use of hardware, to better improve the performance of the car, such as electronic system, entertainment system and so on.
The global market for Embedded Software for Automotive was estimated to be worth US$ 3169.1 million in 2023 and is forecast to a readjusted size of US$ 4614.7 million by 2030 with a CAGR of 5.4% during the forecast period 2024-2030
Automotive is a key driver of this industry. According to data from the World Automobile Organization (OICA), global automobile production and sales in 2017 reached their peak in the past 10 years, at 97.3 million and 95.89 million respectively. In 2018, the global economic expansion ended, and the global auto market declined as a whole. In 2022, there will wear units 81.6 million vehicles in the world. At present, more than 90% of the world's automobiles are concentrated in the three continents of Asia, Europe and North America, of which Asia automobile production accounts for 56% of the world, Europe accounts for 20%, and North America accounts for 16%. The world major automobile producing countries include China, the United States, Japan, South Korea, Germany, India, Mexico, and other countries; among them, China is the largest automobile producing country in the world, accounting for about 32%. Japan is the world's largest car exporter, exporting more than 3.5 million vehicles in 2022.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Embedded Software for Automotive, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Embedded Software for Automotive by region & country, by Type, and by Application.
The Embedded Software 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 Embedded Software for Automotive.
麻豆原创 Segmentation
By Company
NXP Semiconductors
STMicroelectronics
Luxoft Company
MSC Software
Intel
Microsoft
Mitsubishi Electric
AdvanTech
IBM
Denso
Robert Bosch
Panasonic
Texas Instruments
BlackBerry QNX
Continental
Aptiv PLC
Segment by Type:
Android Operating System
Microsoft Operating System
Linux Operating System
Others
Segment by Application
Passenger Cars
Commercial Vehicles
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 Embedded Software 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 Embedded Software 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 Embedded Software 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.
1 麻豆原创 Overview
1.1 Embedded Software for Automotive Product Introduction
1.2 Global Embedded Software for Automotive 麻豆原创 Size Forecast
1.3 Embedded Software for Automotive 麻豆原创 Trends & Drivers
1.3.1 Embedded Software for Automotive Industry Trends
1.3.2 Embedded Software for Automotive 麻豆原创 Drivers & Opportunity
1.3.3 Embedded Software for Automotive 麻豆原创 Challenges
1.3.4 Embedded Software for Automotive 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 Embedded Software for Automotive Players Revenue Ranking (2023)
2.2 Global Embedded Software for Automotive Revenue by Company (2019-2024)
2.3 Key Companies Embedded Software for Automotive Manufacturing Base Distribution and Headquarters
2.4 Key Companies Embedded Software for Automotive Product Offered
2.5 Key Companies Time to Begin Mass Production of Embedded Software for Automotive
2.6 Embedded Software for Automotive 麻豆原创 Competitive Analysis
2.6.1 Embedded Software for Automotive 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Embedded Software 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 Embedded Software for Automotive as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Android Operating System
3.1.2 Microsoft Operating System
3.1.3 Linux Operating System
3.1.4 Others
3.2 Global Embedded Software for Automotive Sales Value by Type
3.2.1 Global Embedded Software for Automotive Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Embedded Software for Automotive Sales Value, by Type (2019-2030)
3.2.3 Global Embedded Software for Automotive Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Passenger Cars
4.1.2 Commercial Vehicles
4.2 Global Embedded Software for Automotive Sales Value by Application
4.2.1 Global Embedded Software for Automotive Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Embedded Software for Automotive Sales Value, by Application (2019-2030)
4.2.3 Global Embedded Software for Automotive Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Embedded Software for Automotive Sales Value by Region
5.1.1 Global Embedded Software for Automotive Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Embedded Software for Automotive Sales Value by Region (2019-2024)
5.1.3 Global Embedded Software for Automotive Sales Value by Region (2025-2030)
5.1.4 Global Embedded Software for Automotive Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Embedded Software for Automotive Sales Value, 2019-2030
5.2.2 North America Embedded Software for Automotive Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Embedded Software for Automotive Sales Value, 2019-2030
5.3.2 Europe Embedded Software for Automotive Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Embedded Software for Automotive Sales Value, 2019-2030
5.4.2 Asia Pacific Embedded Software for Automotive Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Embedded Software for Automotive Sales Value, 2019-2030
5.5.2 South America Embedded Software for Automotive Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Embedded Software for Automotive Sales Value, 2019-2030
5.6.2 Middle East & Africa Embedded Software for Automotive Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Embedded Software for Automotive Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Embedded Software for Automotive Sales Value
6.3 United States
6.3.1 United States Embedded Software for Automotive Sales Value, 2019-2030
6.3.2 United States Embedded Software for Automotive Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Embedded Software for Automotive Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Embedded Software for Automotive Sales Value, 2019-2030
6.4.2 Europe Embedded Software for Automotive Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Embedded Software for Automotive Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Embedded Software for Automotive Sales Value, 2019-2030
6.5.2 China Embedded Software for Automotive Sales Value by Type (%), 2023 VS 2030
6.5.3 China Embedded Software for Automotive Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Embedded Software for Automotive Sales Value, 2019-2030
6.6.2 Japan Embedded Software for Automotive Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Embedded Software for Automotive Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Embedded Software for Automotive Sales Value, 2019-2030
6.7.2 South Korea Embedded Software for Automotive Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Embedded Software for Automotive Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Embedded Software for Automotive Sales Value, 2019-2030
6.8.2 Southeast Asia Embedded Software for Automotive Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Embedded Software for Automotive Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Embedded Software for Automotive Sales Value, 2019-2030
6.9.2 India Embedded Software for Automotive Sales Value by Type (%), 2023 VS 2030
6.9.3 India Embedded Software for Automotive Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 NXP Semiconductors
7.1.1 NXP Semiconductors Profile
7.1.2 NXP Semiconductors Main Business
7.1.3 NXP Semiconductors Embedded Software for Automotive Products, Services and Solutions
7.1.4 NXP Semiconductors Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.1.5 NXP Semiconductors Recent Developments
7.2 STMicroelectronics
7.2.1 STMicroelectronics Profile
7.2.2 STMicroelectronics Main Business
7.2.3 STMicroelectronics Embedded Software for Automotive Products, Services and Solutions
7.2.4 STMicroelectronics Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.2.5 STMicroelectronics Recent Developments
7.3 Luxoft Company
7.3.1 Luxoft Company Profile
7.3.2 Luxoft Company Main Business
7.3.3 Luxoft Company Embedded Software for Automotive Products, Services and Solutions
7.3.4 Luxoft Company Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.3.5 MSC Software Recent Developments
7.4 MSC Software
7.4.1 MSC Software Profile
7.4.2 MSC Software Main Business
7.4.3 MSC Software Embedded Software for Automotive Products, Services and Solutions
7.4.4 MSC Software Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.4.5 MSC Software Recent Developments
7.5 Intel
7.5.1 Intel Profile
7.5.2 Intel Main Business
7.5.3 Intel Embedded Software for Automotive Products, Services and Solutions
7.5.4 Intel Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.5.5 Intel Recent Developments
7.6 Microsoft
7.6.1 Microsoft Profile
7.6.2 Microsoft Main Business
7.6.3 Microsoft Embedded Software for Automotive Products, Services and Solutions
7.6.4 Microsoft Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.6.5 Microsoft Recent Developments
7.7 Mitsubishi Electric
7.7.1 Mitsubishi Electric Profile
7.7.2 Mitsubishi Electric Main Business
7.7.3 Mitsubishi Electric Embedded Software for Automotive Products, Services and Solutions
7.7.4 Mitsubishi Electric Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.7.5 Mitsubishi Electric Recent Developments
7.8 AdvanTech
7.8.1 AdvanTech Profile
7.8.2 AdvanTech Main Business
7.8.3 AdvanTech Embedded Software for Automotive Products, Services and Solutions
7.8.4 AdvanTech Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.8.5 AdvanTech Recent Developments
7.9 IBM
7.9.1 IBM Profile
7.9.2 IBM Main Business
7.9.3 IBM Embedded Software for Automotive Products, Services and Solutions
7.9.4 IBM Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.9.5 IBM Recent Developments
7.10 Denso
7.10.1 Denso Profile
7.10.2 Denso Main Business
7.10.3 Denso Embedded Software for Automotive Products, Services and Solutions
7.10.4 Denso Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.10.5 Denso Recent Developments
7.11 Robert Bosch
7.11.1 Robert Bosch Profile
7.11.2 Robert Bosch Main Business
7.11.3 Robert Bosch Embedded Software for Automotive Products, Services and Solutions
7.11.4 Robert Bosch Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.11.5 Robert Bosch Recent Developments
7.12 Panasonic
7.12.1 Panasonic Profile
7.12.2 Panasonic Main Business
7.12.3 Panasonic Embedded Software for Automotive Products, Services and Solutions
7.12.4 Panasonic Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.12.5 Panasonic Recent Developments
7.13 Texas Instruments
7.13.1 Texas Instruments Profile
7.13.2 Texas Instruments Main Business
7.13.3 Texas Instruments Embedded Software for Automotive Products, Services and Solutions
7.13.4 Texas Instruments Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.13.5 Texas Instruments Recent Developments
7.14 BlackBerry QNX
7.14.1 BlackBerry QNX Profile
7.14.2 BlackBerry QNX Main Business
7.14.3 BlackBerry QNX Embedded Software for Automotive Products, Services and Solutions
7.14.4 BlackBerry QNX Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.14.5 BlackBerry QNX Recent Developments
7.15 Continental
7.15.1 Continental Profile
7.15.2 Continental Main Business
7.15.3 Continental Embedded Software for Automotive Products, Services and Solutions
7.15.4 Continental Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.15.5 Continental Recent Developments
7.16 Aptiv PLC
7.16.1 Aptiv PLC Profile
7.16.2 Aptiv PLC Main Business
7.16.3 Aptiv PLC Embedded Software for Automotive Products, Services and Solutions
7.16.4 Aptiv PLC Embedded Software for Automotive Revenue (US$ Million) & (2019-2024)
7.16.5 Aptiv PLC Recent Developments
8 Industry Chain Analysis
8.1 Embedded Software for Automotive Industrial Chain
8.2 Embedded Software 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 Embedded Software for Automotive Sales Model
8.5.2 Sales Channel
8.5.3 Embedded Software 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
NXP Semiconductors
STMicroelectronics
Luxoft Company
MSC Software
Intel
Microsoft
Mitsubishi Electric
AdvanTech
IBM
Denso
Robert Bosch
Panasonic
Texas Instruments
BlackBerry QNX
Continental
Aptiv PLC
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*If Applicable.