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Global Software-defined Vehicle Market by Offering (Hardware, Software, Services), Vehicle Type (ICE, BEV, HEV/PHEV), Vehicle Autonomy (Level 0, Level 1, Level 2, Level 3, Level 4, Level 5), Application and Region - Forecast to 2028

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    Report

  • 190 Pages
  • September 2023
  • Region: Global
  • Markets and Markets
  • ID: 5879661

Continued Development of Connected Vehicles

The software-defined vehicle market is projected to grow from USD 270.9 billion in 2023 to USD 419.7 billion by 2028, registering a CAGR of 9.1% during the forecast period. Some of the major factors driving the growth of the software-defined vehicle market include the introduction of 5G cellular connectivity projects and the enforcement of stringent vehicle safety regulations. However, data security and privacy concerns act as a challenge for the market in the future. The major growth opportunities for the market players are the emergence of ride-hailing and mobility-as-a-service platforms.

Market for ADAS/HAD will have the highest CAGR during the forecast period

The ADAS/HAD segment of the software-defined vehicle market is expected to witness the highest CAGR during the forecast period. The capability to reduce car accidents makes ADAS more critical. Automatic emergency braking, pedestrian detection, surround view, parking assist, driver drowsiness detection, and gaze detection are ADAS applications that assist drivers with safety-critical functionality to reduce car accidents. As ADAS relies on a combination of software, sensors, cameras, radar, lidar, and other technologies to enhance vehicle safety and assist drivers in various driving scenarios, software-defined vehicles are integral to developing and deploying ADAS applications. The increasing development of software-defined vehicle manufacturers, such as Tesla (US) and Volkswagen (Germany), is likely to accelerate the market growth.

Level 5 expected to register the highest CAGR during the forecast period

The software-defined vehicle market's level 5 segment is expected to account for the highest CAGR in the forecast period. Tesla, Ford, Toyota, Uber, and Volvo are among the companies working hard to achieve Level 5 autonomous vehicle operation, with General Motors (US) leading the charge. Technology giants, including Apple Inc. (US), Aurora Innovation Inc. (US), Microsoft (US), and Waymo LLC (US), have collaborated with international automakers to improve and secure the future of autonomous vehicles. The surging demand for connectivity and OTA software updates is projected to drive the software-defined vehicle market growth.

Asia Pacific to account for the highest market share among other regions during the forecast period

Aisa Pacific is expected to dominate the software-defined vehicle market during the forecast period. Increased R&D activities in the field of software-defined vehicle intelligence would drive the growth of the software-defined vehicle market in the Asia Pacific. China has expanded significantly in mobile connectivity technology, keeping customer benefits as a priority and accordingly launching connectivity-enabled vehicles. Thus, considering the above-mentioned factors, the Asia Pacific software-defined vehicle market is expected to grow significantly.

In addition, increasing adoption of various connected car services, such as collision warning systems, intelligent parking, remote diagnostics, etc., will create an opportunity for the market. The plans of global automakers to roll out vehicles with 5G are expected to further boost the market in China. For instance, in 2021, General Motors (US) announced its plan to roll out 5G in the Chinese market during its Tech Day media event held in Shanghai.

In determining and verifying the market size for several segments and subsegments gathered through extensive primary interviews, secondary research has been conducted with key industry experts in the software-defined vehicle market.

The break-up of primary participants for the report has been shown below:

  • By Company Type: Tier 1 - 38%, Tier 2 - 28%, and Tier 3 - 34%
  • By Designation: C-Level Executives - 40%, Managers - 30%, and Others - 30%
  • By Region: North America - 35%, Europe - 20%, Asia Pacific - 35%, and RoW - 10%

The report profiles key players in the software-defined vehicle market with their respective market ranking analyses. Prominent players profiled in this report include Robert Bosch GmbH (Germany), Nvidia Corporation (US), APTIV (Ireland), Valeo (France), Marelli Holdings Co., Ltd. (Japan), Continental AG (Germany), Volkswagen Group (Germany), Tesla (US), HARMAN International (US), BlackBerry Limited (US), among others.

Research Coverage

This research report categorizes the software-defined vehicle market based on offering, vehicle type, vehicle autonomy, application, and region. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the software-defined vehicle market and forecasts the same till 2028. The report also consists of leadership mapping and analysis of companies in the software-defined vehicle ecosystem.

Reasons to buy this report:

The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall software-defined vehicle market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (enforcement of stringent vehicle safety regulations and continued development of connected vehicles), restraints (high initial investments and connected vehicle research costs), opportunities (emergence of ride-hailing and mobility-as-a-service platforms and introduction of 5g cellular connectivity projects), and challenges (data security and privacy concerns) influencing the growth of the software-defined vehicle market
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the software-defined vehicle market
  • Market Development: Comprehensive information about lucrative markets - the report analyses the software-defined vehicle market across varied regions
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the software-defined vehicle market
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and product/service offerings of leading players like Robert Bosch GmbH (Germany), Nvidia Corporation (US), APTIV (Ireland), Valeo (France), Marelli Holdings Co., Ltd. (Japan), among others in the software-defined vehicle market.

Table of Contents

1 Introduction
1.1 Study Objectives
1.2 Market Definition
1.3 Study Scope
1.3.1 Markets Covered
Figure 1 Software-Defined Vehicle Market Segmentation
1.3.2 Inclusions and Exclusions
1.3.3 Regional Scope
1.3.4 Years Considered
1.3.5 Currency Considered
1.4 Limitations
1.5 Stakeholders
1.6 Impact of Recession

2 Research Methodology
2.1 Research Data
Figure 2 Software-Defined Vehicle Market: Research Design
2.1.1 Secondary Data
2.1.1.1 Major Secondary Sources
2.1.1.2 Key Data from Secondary Sources
2.1.2 Primary Data
2.1.2.1 Key Data from Primary Sources
2.1.2.2 Breakdown of Primaries
2.1.3 Secondary and Primary Research
2.1.3.1 Key Industry Insights
2.2 Market Size Estimation Methodology
2.2.1 Bottom-Up Approach
2.2.1.1 Approach to Capture Market Size Using Bottom-Up Analysis (Demand Side)
Figure 3 Market Size Estimation Methodology: Bottom-Up Approach
2.2.2 Top-Down Approach
2.2.2.1 Approach to Capture Market Size Using Top-Down Analysis (Supply Side)
Figure 4 Market Size Estimation Methodology: Top-Down Approach
2.3 Market Breakdown and Data Triangulation
Figure 5 Data Triangulation
2.4 Research Assumptions
Table 1 Software-Defined Vehicle Market: Research Assumptions
2.5 Approach to Analyze Recession Impact
2.6 Research Limitations
2.7 Risk Assessment
Table 2 Software-Defined Vehicle Market: Risk Assessment

3 Executive Summary
Figure 6 Software Segment to Exhibit Highest CAGR from 2023 to 2028
Figure 7 Ice Segment to Hold Largest Share of Software-Defined Vehicle Market in 2023
Figure 8 Level 2 Segment to Dominate Software-Defined Vehicle Market During Forecast Period
Figure 9 Adas/Had Segment to Depict Highest CAGR Between 2023 and 2028
Figure 10 Asia-Pacific Accounted for Largest Market Share in 2022

4 Premium Insights
4.1 Attractive Opportunities for Players in Software-Defined Vehicle Market
Figure 11 Rising Adoption of Connected Vehicle Technologies to Offer Lucrative Opportunities for Players in Software-Defined Vehicle Market
4.2 Software-Defined Vehicle Market, by Vehicle Type
Figure 12 Bev Segment to Grow at Highest CAGR During Forecast Period
4.3 Software-Defined Vehicle Market in Asia-Pacific, by Vehicle Type and Country
Figure 13 Ice Segment and China Held Largest Shares of Asia-Pacific Software-Defined Vehicle Market in 2022
4.4 Software-Defined Vehicle Market, by Country
Figure 14 India to Register Highest CAGR in Software-Defined Vehicle Market from 2023 to 2028

5 Market Overview
5.1 Introduction
5.2 Market Dynamics
Figure 15 Software-Defined Vehicle Market: Drivers, Restraints, Opportunities, and Challenges
5.2.1 Drivers
Figure 16 Software-Defined Vehicle Market: Drivers and Their Impact
5.2.1.1 Enforcement of Stringent Vehicle Safety Regulations
5.2.1.2 Continued Development of Connected Vehicles
5.2.2 Restraints
Figure 17 Software-Defined Vehicle Market: Restraints and Their Impact
5.2.2.1 High Initial Investments and Connected Vehicle Research Costs
5.2.3 Opportunities
Figure 18 Software-Defined Vehicle Market: Opportunities and Their Impact
5.2.3.1 Emergence of Ride-Hailing and Mobility-As-A-Service Platforms
5.2.3.2 Increasing Number of 5G Cellular Connectivity Projects
5.2.4 Challenges
Figure 19 Software-Defined Vehicle Market: Challenges and Their Impact
5.2.4.1 Data Security and Privacy Concerns
5.3 Value Chain Analysis
Figure 20 Software-Defined Vehicle Market: Value Chain Analysis
5.4 Ecosystem Analysis
Table 3 Software-Defined Vehicle Market: Companies and Their Roles in Ecosystem
5.5 Trends/Disruptions Impacting Customers’ Businesses
Figure 21 Revenue Shifts and New Revenue Pockets for Players in Software-Defined Vehicle Market
5.6 Pricing Analysis
Table 4 Average Selling Price (ASP) of Software-Defined Vehicle Hardware
5.6.1 Average Selling Price (ASP) of Automotive Sensors (Accelerometers) Offered by Two Key Players
Figure 22 Average Selling Price (ASP) of Automotive Sensors (Accelerometers) Offered by Two Key Players
Table 5 Average Selling Price (ASP) of Automotive Sensors (Accelerometers) Offered by Two Key Players
5.6.2 Average Selling Price (ASP) of Connectors Offered by Two Key Players
Figure 23 Average Selling Price (ASP) of Connectors Offered by Two Key Players
Table 6 Average Selling Price (ASP) of Connectors Offered by Two Key Players
5.7 Technology Analysis
5.7.1 Open-Source Software (Oss)
5.7.2 Swarm Intelligence
5.8 Case Study Analysis
5.8.1 Indie Semiconductor Develops Arm-Based Led Controllers to Support Intelligent Vehicle Lighting Systems
5.8.2 Cardo Systems Partners with Harman Embedded Audio to Enhance Motorcycle Communication Systems
5.8.3 Aptiv Creates Premium Audio Systems to Revolutionize In-Vehicle Infotainment Experiences
5.9 Patent Analysis
Figure 24 Top 10 Companies with Highest Number of Patent Applications in Last 10 Years
Table 7 Top 20 Patent Owners in Last 10 Years
Figure 25 Number of Patents Granted Per Year, 2012-2023
5.9.1 List of Major Patents
Table 8 Software-Defined Vehicle Market: List of Major Patents
5.10 Trade Analysis
Figure 26 Import Data for Hs Code 8708, by Country, 2018-2022 (USD Thousand)
Figure 27 Export Data for Hs Code 8708, by Country, 2018-2022 (USD Thousand)
5.11 Key Stakeholders and Buying Criteria
5.11.1 Key Stakeholders in Buying Process
Figure 28 Influence of Stakeholders on Buying Process for Top 3 Applications
Table 9 Influence of Stakeholders on Buying Process for Top 3 Applications (%)
5.11.2 Buying Criteria
Figure 29 Key Buying Criteria for Top 3 Applications
Table 10 Key Buying Criteria for Top 3 Applications
5.12 Porter's Five Forces Analysis
Figure 30 Software-Defined Vehicle Market: Porter's Five Forces Analysis
Table 11 Software-Defined Vehicle Market: Porter's Five Forces Analysis
5.12.1 Intensity of Competitive Rivalry
5.12.2 Threat of Substitutes
5.12.3 Bargaining Power of Buyers
5.12.4 Bargaining Power of Suppliers
5.12.5 Threat of New Entrants
5.13 Key Conferences and Events, 2023-2024
Table 12 Software-Defined Vehicle Market: List of Key Conferences and Events
5.14 Regulatory Landscape
Table 13 North America: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 14 Europe: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 15 Asia-Pacific: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 16 RoW: List of Regulatory Bodies, Government Agencies, and Other Organizations
5.15 Standards
Table 17 North America: Safety Standards for Software-Defined Vehicles
Table 18 Europe: Safety Standards for Software-Defined Vehicles
Table 19 Asia-Pacific: Safety Standards for Software-Defined Vehicles
Table 20 RoW: Safety Standards for Software-Defined Vehicles

6 Software-Defined Vehicle Market, by Offering
6.1 Introduction
Figure 31 Software Segment to Exhibit Highest CAGR During Forecast Period
Table 21 Software-Defined Vehicle Market, by Offering, 2019-2022 (USD Billion)
Table 22 Software-Defined Vehicle Market, by Offering, 2023-2028 (USD Billion)
6.2 Software
6.2.1 Increasing Adoption of Adas to Contribute to Segmental Growth
Table 23 Software: Software-Defined Vehicle Market, by Application, 2019-2022 (USD Billion)
Table 24 Software: Software-Defined Vehicle Market, by Application, 2023-2028 (USD Billion)
Table 25 Software: Software-Defined Vehicle Market, by Type, 2019-2022 (USD Billion)
Table 26 Software: Software-Defined Vehicle Market, by Type, 2023-2028 (USD Billion)
6.2.2 Software, by Type
6.2.2.1 Automotive Operating Systems (Os)
6.2.2.1.1 Rising Integration of Electronic Systems into Vehicles to Fuel Segmental Growth
6.2.2.2 Middleware & Hypervisors
6.2.2.2.1 Increasing Deployment of Cloud Computing Technologies to Accelerate Market Growth
6.2.2.3 Application Software
6.2.2.3.1 Growing Adoption of Saas Solutions by Automobile Manufacturers to Drive Market
6.2.2.4 Cybersecurity
6.2.2.4.1 Surging Cases of Cyber-Attacks on Connected Vehicles to Boost Segmental Growth
6.3 Hardware
6.3.1 Rapid Advancements in Automotive Technologies to Propel Market
Table 27 Hardware: Software-Defined Vehicle Market, by Application, 2019-2022 (USD Billion)
Table 28 Hardware: Software-Defined Vehicle Market, by Application, 2023-2028 (USD Billion)
Table 29 Hardware: Software-Defined Vehicle Market, by Type, 2019-2022 (USD Billion)
Table 30 Hardware: Software-Defined Vehicle Market, by Type, 2023-2028 (USD Billion)
6.3.2 Hardware, by Type
6.3.2.1 Ecu/Dcu
6.3.2.1.1 Rising Need to Manage Complexity of Software-Driven Systems to Fuel Segmental Growth
6.3.2.2 Sensors/Actuators
6.3.2.2.1 Increasing Production of Lcvs and Hcvs to Contribute to Market Growth
6.3.2.3 Power Electronics
6.3.2.3.1 Growing Demand for Electric Vehicles to Propel Market
6.3.2.4 Others
6.4 Services
6.4.1 Surging Demand for In-Vehicle Connectivity Services to Drive Market
Table 31 Services: Software-Defined Vehicle Market, by Application, 2019-2022 (USD Billion)
Table 32 Services: Software-Defined Vehicle Market, by Application, 2023-2028 (USD Billion)
Table 33 Services: Software-Defined Vehicle Market, by Type, 2019-2022 (USD Billion)
Table 34 Services: Software-Defined Vehicle Market, by Type, 2023-2028 (USD Billion)
6.4.2 Services, by Type
6.4.2.1 Integration Services
6.4.2.1.1 Need for Seamless Integration of Hardware and Software Components into Vehicles to Boost Market Growth
6.4.2.2 Connected Services
6.4.2.2.1 Rise in In-Vehicle Connectivity Trends to Support Segmental Growth

7 Software-Defined Vehicle Market, by Vehicle Type
7.1 Introduction
Figure 32 Software-Defined Vehicle Market, by Vehicle Type
Figure 33 Ice Segment to Dominate Software-Defined Vehicle Market During Forecast Period
Table 35 Software-Defined Vehicle Market, by Vehicle Type, 2019-2022 (USD Billion)
Table 36 Software-Defined Vehicle Market, by Vehicle Type, 2023-2028 (USD Billion)
7.2 Ice
7.2.1 Requirement for Vehicle Fuel Efficiency Improvement to Contribute to Segmental Growth
Table 37 Ice: Software-Defined Vehicle Market, by Application, 2019-2022 (USD Billion)
Table 38 Ice: Software-Defined Vehicle Market, by Application, 2023-2028 (USD Billion)
Table 39 Ice: Software-Defined Vehicle Market, by Region, 2019-2022 (USD Billion)
Table 40 Ice: Software-Defined Vehicle Market, by Region, 2023-2028 (USD Billion)
7.3 Bev
7.3.1 Adoption of Sustainable Mobility Solutions to Accelerate Market Growth
Table 41 Bev: Software-Defined Vehicle Market, by Application, 2019-2022 (USD Billion)
Table 42 Bev: Software-Defined Vehicle Market, by Application, 2023-2028 (USD Billion)
Table 43 Bev: Software-Defined Vehicle Market, by Region, 2019-2022 (USD Billion)
Table 44 Bev: Software-Defined Vehicle Market, by Region, 2023-2028 (USD Billion)
7.4 Hev/Phev
7.4.1 Implementation of Tax Rebates on Electric Vehicles to Propel Market
Table 45 Hev/Phev: Software-Defined Vehicle Market, by Application, 2019-2022 (USD Billion)
Table 46 Hev/Phev: Software-Defined Vehicle Market, by Application, 2023-2028 (USD Billion)
Table 47 Hev/Phev: Software-Defined Vehicle Market, by Region, 2019-2022 (USD Billion)
Table 48 Hev/Phev: Software-Defined Vehicle Market, by Region, 2023-2028 (USD Billion)

8 Software-Defined Vehicle Market, by Vehicle Autonomy
8.1 Introduction
Figure 34 Software-Defined Vehicle Market, by Vehicle Autonomy
Figure 35 Level 2 Segment to Dominate Software-Defined Vehicle Market During Forecast Period
Table 49 Software-Defined Vehicle Market, by Vehicle Autonomy, 2019-2022 (USD Billion)
Table 50 Software-Defined Vehicle Market, by Vehicle Autonomy, 2023-2028 (USD Billion)
8.2 Level 0
8.2.1 Safety Features of Level 0 Automation Vehicles to Contribute to Market Growth
8.3 Level 1
8.3.1 Use of Level 1 Automation Vehicles to Offer Optimum Level of Control and Maneuverability to Fuel Segmental Growth
8.4 Level 2
8.4.1 Demand for Adas-Equipped Level 2 Automation Vehicles to Propel Market
8.5 Level 3
8.5.1 Development of Level 3 Traffic Jam Assistance Technology to Accelerate Segmental Growth
8.6 Level 4
8.6.1 Emphasis on Production of Level 4 Evs and Shuttles to Drive Market
8.7 Level 5
8.7.1 Adoption of Collaboration Strategies to Transition to Evs to Boost Segmental Growth

9 Software-Defined Vehicle Market, by Application
9.1 Introduction
Figure 36 Software-Defined Vehicle Market, by Application
Figure 37 Adas/Had Segment to Depict Highest CAGR in Software-Defined Vehicle Market from 2023 to 2028
Table 51 Software-Defined Vehicle Market, by Application, 2019-2022 (USD Billion)
Table 52 Software-Defined Vehicle Market, by Application, 2023-2028 (USD Billion)
9.2 Powertrain & Chassis
9.2.1 Demand for Fuel-Efficient Vehicles with Improved Engine Performance to Drive Segmental Growth
Table 53 Powertrain & Chassis: Software-Defined Vehicle Market, by Offering, 2019-2022 (USD Billion)
Table 54 Powertrain & Chassis: Software-Defined Vehicle Market, by Offering, 2023-2028 (USD Billion)
Table 55 Powertrain & Chassis: Software-Defined Vehicle Market, by Vehicle Type, 2019-2022 (USD Billion)
Table 56 Powertrain & Chassis: Software-Defined Vehicle Market, by Vehicle Type, 2023-2028 (USD Billion)
9.3 Body & Energy
9.3.1 Adoption of Software-Driven Technologies in Design and Management of Vehicle Bodies to Propel Market
Table 57 Body & Energy: Software-Defined Vehicle Market, by Offering, 2019-2022 (USD Billion)
Table 58 Body & Energy: Software-Defined Vehicle Market, by Offering, 2023-2028 (USD Billion)
Table 59 Body & Energy: Software-Defined Vehicle Market, by Vehicle Type, 2019-2022 (USD Billion)
Table 60 Body & Energy: Software-Defined Vehicle Market, by Vehicle Type, 2023-2028 (USD Billion)
9.4 Adas/Had
9.4.1 Reliance on Intelligent Systems to Improve Vehicle Safety to Fuel Segmental Growth
Table 61 Adas/Had: Software-Defined Vehicle Market, by Offering, 2019-2022 (USD Billion)
Table 62 Adas/Had: Software-Defined Vehicle Market, by Offering, 2023-2028 (USD Billion)
Table 63 Adas/Had: Software-Defined Vehicle Market, by Vehicle Type, 2019-2022 (USD Billion)
Table 64 Adas/Had: Software-Defined Vehicle Market, by Vehicle Type, 2023-2028 (USD Billion)
9.5 Infotainment
9.5.1 Preference for Vehicles with Entertainment and Safety Features to Accelerate Segmental Growth
Table 65 Infotainment: Software-Defined Vehicle Market, by Offering, 2019-2022 (USD Billion)
Table 66 Infotainment: Software-Defined Vehicle Market, by Offering, 2023-2028 (USD Billion)
Table 67 Infotainment: Software-Defined Vehicle Market, by Vehicle Type, 2019-2022 (USD Billion)
Table 68 Infotainment: Software-Defined Vehicle Market, by Vehicle Type, 2023-2028 (USD Billion)
9.6 Connectivity & Security
9.6.1 Deployment of Over-The-Air (Ota) Software in Vehicles to Contribute to Segmental Growth
Table 69 Connectivity & Security: Software-Defined Vehicle Market, by Offering, 2019-2022 (USD Billion)
Table 70 Connectivity & Security: Software-Defined Vehicle Market, by Offering, 2023-2028 (USD Billion)
Table 71 Connectivity & Security: Software-Defined Vehicle Market, by Vehicle Type, 2019-2022 (USD Billion)
Table 72 Connectivity & Security: Software-Defined Vehicle Market, by Vehicle Type, 2023-2028 (USD Billion)

10 Software-Defined Vehicle Market, by Region
10.1 Introduction
10.2. North America
10.2.1. Recession Impact
10.2.2. US
10.2.3. Canada
10.2.4. Mexico
10.3. Europe
10.3.1. Recession Impact
10.3.2. UK
10.3.3. Germany
10.3.4. France
10.3.5. Italy
10.3.6. Spain
10.3.7. Rest of Europe
10.4. Asia-Pacific
10.4.1. Recession Impact
10.4.2. China
10.4.3. India
10.4.4. Japan
10.4.5. Rest of APAC
10.5. Row
10.5.1. Recession Impact
10.5.2. South America
10.5.3. Middle East & Africa

11 Competitive Landscape
11.1. Introduction
11.2. Revenue Analysis of Top Players
11.3. Strategies Adopted by Key Players
11.4. Market Share Analysis
11.5. Key Player Segmentation
11.5.1. Stars
11.5.2. Pervasive Players
11.5.3. Emerging Leaders
11.5.4. Participants
11.6. Company Footprint
11.7. Sme Player Segmentation
11.7.1. Progressive Companies
11.7.2. Responsive Companies
11.7.3. Dynamic Companies
11.7.4. Starting Blocks
11.8. Competitive Situations and Trends
11.9. Detailed List of Key Startups/Smes
11.10. Competitive Benchmarking of Key Startups/Smes

12 Company Profiles
12.1. Introduction
12.2. Key Players
12.2.1. Tesla
12.2.2. Bosch
12.2.3. Nvidia
12.2.4. Aptiv
12.2.5. Valeo
12.2.6. Marelli
12.2.7. Continental
12.2.8. Volkswagen
12.2.9. Harman
12.2.10. Blackberry
12.3. Other Players
12.3.1. Zf Friedrichshafen Ag
12.3.2. Lear Corporation
12.3.3. Sibros
12.3.4. Siemens
12.3.5. Nxp
12.3.6. Analog Devices
12.3.7. Intel
12.3.8. Renesas
12.3.9. Qualcomm
12.3.10. Arm Ltd
12.3.11. Renault Group
12.3.12. General Motors
12.3.13. Amazon
12.3.14. Kpit
12.3.15. Vector Informatik GmbH

13 Appendix
13.1. Insights of Industry Experts
13.2. Discussion Guide
13.3. Knowledge Store: The Subscription Portal
13.4. Available Customizations
Note: this Toc is Tentative and Minor Changes are Possible as the Study Progresses.

Executive Summary

Companies Mentioned

  • Tesla
  • Bosch
  • Nvidia
  • Aptiv
  • Valeo
  • Marelli
  • Continental
  • Volkswagen
  • Harman
  • Blackberry
  • Zf Friedrichshafen Ag
  • Lear Corporation
  • Sibros
  • Siemens
  • Nxp
  • Analog Devices
  • Intel
  • Renesas
  • Qualcomm
  • Arm Ltd
  • Renault Group
  • General Motors
  • Amazon
  • Kpit
  • Vector Informatik GmbH

Methodology

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Table Information