Automotive Hypervisor Market by Type (Type 1 & Type 2), Vehicle Type (PC, LCV & HCV), End User (Economy, Mid-Priced & Luxury), Level of Autonomous Driving (Autonomous & Semi-Autonomous (Level 1, 2 & 3), Bus System, and Region - Global Forecast to 2026
[240 Pages Report] The global automotive hypervisor market is projected to grow at a CAGR of 39.3% during the forecast period to reach USD 704 million by 2026 from an estimated USD 134 million in 2021. The hypervisor is an embedded technology that has been widely used for the in-vehicle infotainment application in the automotive industry. it is a hardware virtualization technology capable of running multiple virtual machines through Operating System (OS) on a host system.
Increase in demand for advanced features in all segments of vehicles will further create opportunities for OEMs to expand their revenue stream and increase geographical presence. The market in Asia Pacific is projected to experience the fastest growth owing to the high demand of hypervisor technology from countries like China, Japan, South Korea and India. Meanwhile in European and North American market are growing due to increase in demand of luxury vehicles with rise in connected features.
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COVID-19 Impact on Automotive Hypervisor Market:
The COVID-19 pandemic has had a moderate impact on the hypervisor market due to the reduction in the sales of vehicles, especially during the earlier months of the pandemic. Most countries experienced a moderate reduction in sales in 2019 and 2020. Global sales of passenger cars reduced by ~17.3% during the first few months of the outbreak of COVID-19. Sales of luxury vehicles later recovered, but the market still experienced some losses.
The production and sales of new vehicles had come to a halt across the globe as the entire ecosystem was disrupted during the initial period of the outbreak of the COVID-19 pandemic. OEMs had to wait for the lifting of lockdowns to resume production, which affected their businesses. Therefore, vehicle manufacturers were required to adjust production volumes. As component manufacturing was suspended, small Tier II and Tier III manufacturers are also expected to face liquidity issues. The automotive industry is highly capital-intensive and relies on frequent financing to continue operations. Thus, the suspension of production during the outbreak and lower demand are leading to an unprecedented impact on the manufacturers of automotive hypervisors.
Due to the COVID-19 pandemic, various countries imposed complete lockdowns for more than two months, which, in turn, impacted vehicle production. Manufacturing units around the world were shut, and sales of vehicles were significantly affected. However, the majority of the automakers resumed limited vehicle production by following the necessary precautionary measures. Although most OEMs did not report any major losses, a few OEMs were significantly impacted by the outbreak. The overall sales of automotive fell significantly in most countries across the world between 2019 and 2020, which has affected the growth of the hypervisor market. Further, the second wave in the UK is expected to affect the sales of vehicles, in turn, affecting the growth of the hypervisor market.
Driver: Integration of various automotive applications to support centralized function
The hypervisor technology is expected to play a key role in the evolution of autonomous vehicles and mobility services. ADAS has already proved to be a robust system and continues to be upgraded with improved versions. Due to the rise in the penetration of V2V, V2I features, demand in the hypervisor market is expected to rise. Various companies are investing significantly in the development of autonomous and semi-autonomous technologies. For instance, Tesla also started the production of vehicles including Model 3 which has the hardware required for full self-driving capabilities at a safety level significantly superior to a human driver. In 2018, Waymo (owned by Google parent company, Alphabet) invested USD 3.5 billion in R&D activities for testing the autonomous vehicle platform. The company ordered 20,000 electric I-Pace cars from Jaguar Land Rover which it expects to convert to its own autonomous vehicles. Even automaker OEMs such as Japan’s Toyota and Germany’s Daimler are establishing robo-taxi services. The total spend on R&D for robo-taxi services was USD 27.5 billion in 2018.
Restraint: Lower implementation of technology in economy vehicles
Economy class passenger cars are equipped with a lower number of advanced features such as digital cluster, infotainment application, safety features, and others which are expected to require a lower number of multi domain controllers. Thus, the economy vehicle segment is equipped with ECUs and a low number of hypervisors per MDC. This acts as a restraint to the economy vehicle segment. Thus, to maintain the low cost of the economy vehicle, a lower number of infotainment features are provided. This factor restricts automakers in installing advanced functions in economy passenger cars to limit the overall price of the vehicles to maintain the sales of these variants. Therefore, advanced functions such as ADAS & safety, body & comfort, cockpit telematics, and others are equipped majorly in mid-price and luxury vehicles.
Opportunity: Advanced embedded technology is the key for semi-autonomous and autonomous cars
Autonomous cars have become a decisive focal point for automotive stakeholders. They have invested billions of dollars and their best resources to make autonomous cars a reality. Currently, a vehicle is equipped with a variety of electronic components to sense the environment around it and exchange signals with entities outside it. The entire process of communication with external entities has underlined the need to generate a significant amount of data, which is useful in implementing machine learning with algorithms in the computer system of the vehicle. This is how OEMs and automotive Tier I suppliers along with non-automotive players are expected to make possible the development of autonomous vehicles. Hence, a reliable automotive embedded hypervisor system is the key to implementing AI and developing semi-autonomous and autonomous cars. Major automobile manufacturers are working towards the launch autonomous vehicles. For instance, Audi unveils its level 4 autonomous Audi A8 which is a self-driving vehicle approved in Europe in 2019.
Challenge: Impact of hardware on power management
The in-vehicle embedded hypervisor features require high computing powers, which results in high power consumption. To overcome this issue, AUTOSAR introduced the partial networking concept. It is perceptible that all the subdomains in a specific hypervisor need not be in an active state during the entire tenure of vehicle usage at a specific time. Hence, to reduce power consumption, AUTOSAR makes use of the hypervisor to make domain controllers efficient enough to power down certain vehicle applications. The hypervisor technology needs to identify this mode and respectively activate or deactivate specific sub-controllers in their area of influence. However, at present, the hypervisor technology faces certain challlenges, which is resulting in high power consumption. Also, the silicon used for controllers consume higher power. Hence, there is significant scope in improvements, in terms of energy consumption.
Luxury vehicle segment is growing at the fastest rate during the forecast period.
The luxury vehicle market is likely to be the largest growing segment for the automotive hypervisor market. Hypervisor technology mostly finds its application in luxury vehicles since its development cost is always higher. The luxury vehicles are equipped with advanced safety, comfort, and convenience features, making the embedded technology of the luxury vehicles more complex with large hardware content. Due to this factor, the market for virtualized technique is larger in high end cars. However, with the evolution of technology, the application of hypervisor is expected to rise in the economy class vehicles, as well, in the coming years.
The Passenger car segment is expected to dominate the automotive hypervisor market
The virtualization technology is presently adopted in passenger cars and estimated to be the largest market in the vehicle type segment. The LCV segment is expected to be equipped with the technology by 2022 in the market study. The number of connected passenger vehicles is more compared to commercial vehicles installed with hypervisor technology, which has resulted in a greater market share. Also, connected passenger cars are expected to be the ultimate Internet of Things (IoT) in the coming years which further boosts the hypervisor market. A majority of in-vehicle systems and an increasingly wide range of external networks such as Wi-Fi, cellular, and the internet are driving the market for automotive hypervisor in the passenger car segment.
Increased demand for type 1 hypervisor is expected to drive the automotive hypervisor market
The type 1 is anticipated to register largest growth during the forecast period in the global market. The demand for Type 1 hypervisor from global automakers is high which makes it highly preferred virtualized technique. Type 1 hypervisors run directly on hardware and are highly secure. Virtualization mitigates the risk of attacks that target security flaws. It also focuses on solving vulnerabilities in operating systems because each function has its own operating system. Thus, Type 1 hypervisors are expected to witness incremental growth in the coming years for automotive applications.
Asia Pacific is expected to account for the largest market size during the forecast period
The Asia Pacific region is estimated to be the largest automotive hypervisor market by 2026. The region comprises some of the fastest developing economies of the world such as China and India. The Asia Pacific region is the largest market for automotive due to the fact that the growing purchasing power of consumers has triggered the demand for automobiles in the region. Cost advantages for OEMs, low automobile penetration levels, and increased vehicle production offer attractive market opportunities for automobile manufacturers and automotive component suppliers. Also, due to the availability of cheap labor and low production cost, many major OEMs have launched production plants in the region or joined hands with major domestic vehicle manufacturers. This is also driving the demand for luxury passenger cars which is proven to be the lucrative market for hypervisor technology in the coming years.
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Key Market Players
The key players considered in the analysis of the automotive hypervisor market are BlackBerry (Canada), Green Hills Software (US), Siemens (Mentor Graphics) (Germany), Wind River Systems (US), and Renesas (Japan). These companies offer extensive products and solutions for the automotive hypervisor industry and have strong distribution networks at the global level, and they invest heavily in R&D to develop new products.
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|
Report Attributes |
Details |
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Market size value in 2021: |
USD 134 Million |
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Projected to reach 2026: |
USD 704 Million |
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CAGR: |
39.3% |
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Base Year Considered: |
2020 |
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Forecast Period: |
2021-2026 |
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Largest Market: |
Asia Pacific |
|
Region Covered: |
Asia Oceania, Europe, North America, and RoW |
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Segments Covered: |
Type (Type 1 & Type 2), Vehicle Type (PC, LCV & HCV), End User (Economy, Mid-Priced & Luxury), Level of Autonomous Driving (Autonomous & Semi-Autonomous (Level 1, 2 & 3)), Bus System, and Region -Global Forecast to 2026 |
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Companies Covered: |
BlackBerry (Canada), Green Hills (US), Siemens (Germany), Wind River (US), Renesas (Japan), and others A total of 25 major company profiles covered and provided |
This research report categorizes the automotive hypervisor market based on Product type, by level of autonomous driving, by end- user, by vehicle type and Region
By Product Type
- Type 1
- Type 2
By level of autonomous driving
- Autonomous
- Semi- autonomous
- Level 1
- Level 2
- Level 3
By end- user
- Economy Vehicles
- Mid- priced Vehicles
- Luxury Vehicles
By vehicle type
- Passenger cars
- LCVs
- HCVs
By Region
- North America
- Asia Pacific
- Europe
- RoW
Recent Developments
- In April 2020, BlackBerry launched the QNX Black Channel Communications Technology which is a software solution that OEMs and embedded software developers can use to ensure safe data communication exchanges with critical safety.
- In July 2020, Siemens announced the acquisition of Avatar, a leading developer of place and route software for the integrated circuit (IC) design. Siemen’s have added Avatar’s technology to the Xcelerator portfolio as a part of Mentor Graphics’ IC suite of software, capitalizing on growing place and route segment. Avatar has been integrated with Mentor Graphics’ products including the Calibre platform, Tessent software, and Catapult HLS software.
- In December 2020, Renesas Electronics Corporation unveils the R-Car V3U which is ASIL D System-on-chip (SoC) for advanced driver assistance systems (ADAS) and automated driving (AD) systems. It thereby delivers 60 TOPS with low power consumption for deep learning processing. R-Car V3U is built for the performance, safety and scalability demands of ADAS and AD for next-generation autonomous vehicles.
- In January 2020, NXP Semiconductors announced the launch of a multi-gigabit Ethernet switch designed to help automakers deliver high-speed networks required for evolving connected vehicles. The NXP SJA1110 is the first automotive Ethernet switch with safety capabilities built in, offering integrated hardware assisted security as well as multi gigabit interfaces
- In October 2020, Continental launched the world’s first mass-produced high-performance server for cars, ID.3. This high-performance computer connects electronic architecture in the ID.3 e-model and enables over-the-air updates in the future. Volkswagen is set to enter a new era in electric mobility with the launch of the ID.3, with which it has vital support from Continental.
Frequently Asked Questions (FAQ):
What is the current size of the global automotive hypervisor market?
The automotive hypervisor market is estimated to be USD 134 million in 2021 and is projected to reach USD 704 million by 2026, at a CAGR of 39.3%.
Who are the winners in the automotive hypervisor market?
Companies such as BlackBerry (Canada), Green Hills Software (US), Siemens (Mentor Graphics) (Germany), Wind River Systems (US), and Renesas (Japan) fall under the winners' category. With advanced R&D facilities, large production capacities, and strong distribution networks (geographical presence), these companies have managed to stay ahead of other companies.
What is the Covid-19 impact on automotive hypervisor manufacturers?
The COVID-19 pandemic has had a moderate impact on the automotive hypervisor market due to the reduction in the sales of vehicles, especially during the earlier months of the pandemic. Most countries experienced a moderate reduction in sales in 2019 and 2020. Global sales of passenger cars reduced by ~17.3% during the first few months of the outbreak of COVID-19. Sales of luxury vehicles later recovered, but the market still experienced some losses.
What are the key strategies adopted by top players to increase their revenue?
These companies adopted multiple strategies, including partnerships, collaborations, agreements, and mergers & acquisitions to stay ahead in this competitive market.
Which countries are considered in the European region?
The report covers market sizing for countries such as Germany, France, Italy, Spain, UK and rest of Europe. .
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 20)
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
TABLE 1 INCLUSIONS AND EXCLUSIONS FOR THE AUTOMOTIVE HYPERVISOR MARKET REPORT
1.3 MARKET SCOPE
FIGURE 1 AUTOMOTIVE HYPERVISOR MARKET: SEGMENTATION
1.3.1 YEARS CONSIDERED FOR THE STUDY
1.4 CURRENCY & PRICING
TABLE 2 CURRENCY EXCHANGE
1.5 PACKAGE SIZE
1.6 LIMITATIONS
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 27)
2.1 RESEARCH DATA
FIGURE 2 AUTOMOTIVE HYPERVISOR MARKET: RESEARCH DESIGN
FIGURE 3 RESEARCH METHODOLOGY MODEL
2.2 SECONDARY DATA
2.2.1 KEY SECONDARY SOURCES
2.2.2 KEY DATA FROM SECONDARY SOURCES
2.3 PRIMARY DATA
FIGURE 4 BREAKDOWN OF PRIMARY INTERVIEWS
2.3.1 SAMPLING TECHNIQUES AND DATA COLLECTION METHODS
2.3.2 PRIMARY PARTICIPANTS
2.4 MARKET ESTIMATION METHODOLOGY
FIGURE 5 RESEARCH METHODOLOGY: HYPOTHESIS BUILDING
2.4.1 BOTTOM-UP APPROACH
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
2.4.2 TOP-DOWN APPROACH
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
FIGURE 8 GLOBAL MARKET: RESEARCH DESIGN AND METHODOLOGY
FIGURE 9 GLOBAL MARKET: RESEARCH METHODOLOGY ILLUSTRATION OF BLACKBERRY REVENUE ESTIMATION
2.4.3 FACTOR ANALYSIS FOR MARKET SIZING: DEMAND AND SUPPLY SIDE
2.5 DATA TRIANGULATION
FIGURE 10 DATA TRIANGULATION
2.6 FACTOR ANALYSIS
2.7 RESEARCH ASSUMPTIONS
2.8 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY (Page No. - 41)
FIGURE 11 AUTOMOTIVE HYPERVISOR : MARKET DYNAMICS
FIGURE 12 AUTOMOTIVE HYPERVISOR MARKET, BY REGION, 2020–2026 (USD MILLION)
FIGURE 13 TYPE 1 IS PROJECTED TO BE THE LARGEST SEGMENT IN THE AUTOMOTIVE HYPERVISOR MARKET, 2021 VS. 2026
FIGURE 14 IMPACT OF COVID-19 ON THE GLOBAL MARKET, 2021–2026
4 PREMIUM INSIGHTS (Page No. - 46)
4.1 ATTRACTIVE OPPORTUNITIES IN THE GLOBAL MARKET
FIGURE 15 INTEGRATION OF VARIOUS AUTOMOTIVE APPLICATIONS TO SUPPORT CENTRALIZED FUNCTIONS IN VEHICLES EXPECTED TO BOOST THE GROWTH OF GLOBAL MARKET FROM 2021 TO 2026
4.2 AUTOMOTIVE HYPERVISOR MARKET SHARE, BY COUNTRY
FIGURE 16 ASIA PACIFIC IS PROJECTED TO BE THE FASTEST-GROWING MARKET FROM 2021 TO 2026
4.3 AUTOMOTIVE HYPERVISOR MARKET, BY TYPE
FIGURE 17 TYPE 1 IS PROJECTED TO BE THE LARGER SEGMENT IN THE MARKET BY 2026
4.4 AUTOMOTIVE HYPERVISOR MARKET, BY LEVEL OF AUTONOMOUS DRIVING
FIGURE 18 SEMI- AUTONOMOUS VEHICLES IS EXPECTED TO BE THE LARGER SEGMENT IN THE MARKET BY 2026
4.5 AUTOMOTIVE HYPERVISOR MARKET, BY END USER
FIGURE 19 LUXURY VEHICLES IS PROJECTED TO BE THE LARGEST SEGMENT IN THE MARKET, 2021 VS. 2026
4.6 AUTOMOTIVE HYPERVISOR MARKET, BY VEHICLE TYPE
FIGURE 20 PASSENGER CARS SEGMENT IS PROJECTED TO DOMINATE THE MARKET, 2021 VS. 2026
FIGURE 21 AUTOMOTIVE HYPERVISOR MARKET, BY TYPE, 2026 (USD MILLION)
5 MARKET OVERVIEW (Page No. - 50)
5.1 INTRODUCTION
TABLE 3 IMPACT OF MARKET DYNAMICS
5.2 MARKET DYNAMICS
FIGURE 22 AUTOMOTIVE HYPERVISOR: MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Integration of various automotive applications to support centralized function
5.2.1.2 Increasing complexity of electrical/electronic (E/E) architecture in modern vehicles
FIGURE 23 COMPLEXITY OF ELECTRONIC ARCHITECTURE IN MODERN VEHICLES
5.2.1.3 Increasing use of innovative technologies in advanced user interface
5.2.1.4 Increasing adoption of connected cars and advanced automotive technologies
5.2.2 RESTRAINTS
5.2.2.1 Lack of standard protocols to develop software platforms for automotive applications
5.2.2.2 Lower implementation of technology in economy vehicles
5.2.3 OPPORTUNITIES
5.2.3.1 Leveraging automotive software for embedded hypervisors
FIGURE 24 HYPERVISOR TYPES
5.2.3.2 Advanced embedded technology is the key for semi-autonomous and autonomous cars
5.2.3.3 Consolidation of ECUs
5.2.4 CHALLENGES
5.2.4.1 Impact of hardware on power management
5.2.4.2 Risk of cybersecurity in connected vehicles
5.3 PORTER’S FIVE FORCES ANALYSIS
FIGURE 25 HIGH BARGAINING POWER OF BUYERS OWING TO LARGE NUMBER OF SOFTWARE PROVIDERS AND INCREASED AWARENESS ABOUT HYPERVISOR TECHNOLOGY
TABLE 4 AUTOMOTIVE HYPERVISOR MARKET: PORTER’S FIVE FORCES ANALYSIS
5.3.1 DEGREE OF COMPETITION
FIGURE 26 LARGE NUMBER OF PLAYERS IN THE MARKET LEADS TO MEDIUM COMPETITION IN THE AUTOMOTIVE HYPERVISOR MARKET
5.3.2 THREAT OF NEW ENTRANTS
FIGURE 27 LARGE NUMBER OF SOFTWARE VENDORS LEADS TO HIGH THREAT FOR EXISTING PLAYERS
5.3.3 THREAT OF SUBSTITUTES
FIGURE 28 AVAILABILITY OF MEDIUM NUMBER OF SUBSTITUTES LEADS TO MEDIUM THREAT
5.3.4 BARGAINING POWER OF SUPPLIERS
FIGURE 29 SOFTWARE SUPPLIERS OF TIER 1 COMPANIES LEADS TO LOW BARGAINING POWER OF SUPPLIERS
5.3.5 BARGAINING POWER OF BUYERS
FIGURE 30 SPECIFIC BUYER REQUIREMENT AND LARGE NUMBER OF SUPPLIERS LEADS TO HIGH BARGAINING POWER OF BUYERS
5.4 VALUE CHAIN ANALYSIS
TABLE 5 AUTOMOTIVE HYPERVISOR MARKET: SUPPLY CHAIN
FIGURE 31 VALUE CHAIN ANALYSIS: AUTOMOTIVE HYPERVISOR MARKET
5.4.1 HYPERVISOR VENDORS
5.4.2 VIRTUALIZATION SOFTWARE PROVIDERS
5.4.3 OEMS
TABLE 6 AUTOMOTIVE HYPERVISOR MARKET: SUPPLY CHAIN STAKEHOLDERS AND THEIR STRATEGIES
5.4.4 APPLICATIONS
5.5 CASE STUDY
5.5.1 A CASE STUDY ON AUTOV- AN AUTOMOTIVE TESTBED FOR REAL-TIME VIRTUALIZATION
5.5.2 A CASE STUDY FOR THE EVALUATION OF EMBEDDED HYPERVISOR ON THE AUTOMOTIVE PLATFORM
5.6 PATENT ANALYSIS
5.7 REGULATORY OVERVIEW
5.8 RECOMMENDATIONS FOR HYPERVISOR DEPLOYMENT BY KEY INDUSTRY PLAYERS
5.9 INTRODUCTION TO COVID-19
5.10 COVID-19 HEALTH ASSESSMENT
FIGURE 32 COVID-19: GLOBAL PROPAGATION
FIGURE 33 COVID-19 PROPAGATION: SELECT COUNTRIES
5.11 COVID-19 ECONOMIC ASSESSMENT
FIGURE 34 REVISED GROSS DOMESTIC PRODUCT FORECASTS FOR SELECT G20 COUNTRIES IN 2020
5.11.1 COVID-19 ECONOMIC IMPACT—SCENARIO ASSESSMENT
FIGURE 35 CRITERIA IMPACTING GLOBAL ECONOMY
FIGURE 36 SCENARIOS IN TERMS OF RECOVERY OF GLOBAL ECONOMY
5.11.2 IMPACT OF COVID-19 ON THE AUTOMOTIVE INDUSTRY
5.11.3 OEM ANNOUNCEMENTS
TABLE 7 OEM ANNOUNCEMENTS
5.11.4 IMPACT ON AUTOMOTIVE PRODUCTION
5.12 HYPERVISOR MARKET FOR AUTOMOTIVE, SCENARIOS (2020–2026)
FIGURE 37 AUTOMOTIVE HYPERVISOR MARKET – FUTURE TRENDS AND SCENARIO, 2020–2026 (USD MILLION)
5.12.1 MOST LIKELY SCENARIO
TABLE 8 MOST LIKELY SCENARIO, BY REGION, 2019–2026 (USD MILLION)
5.12.2 OPTIMISTIC SCENARIO
TABLE 9 OPTIMISTIC SCENARIO, BY REGION, 2020–2026 (USD MILLION)
5.12.3 PESSIMISTIC SCENARIO
TABLE 10 PESSIMISTIC SCENARIO, BY REGION, 2020–2026 (USD MILLION)
5.13 REVENUE SHIFT FOR AUTOMOTIVE SOFTWARE VENDORS
FIGURE 38 SHIFT OF FOCUS TOWARDS VIRTUALIZATION TECHNOLOGY
6 INDUSTRY TRENDS (Page No. - 80)
6.1 INTRODUCTION
6.2 TECHNOLOGY OVERVIEW
FIGURE 39 HYPERVISOR ARCHITECTURE
6.3 EMBEDDED HYPERVISOR TECHNOLOGY
7 AUTOMOTIVE HYPERVISOR MARKET, BY END USER (Page No. - 83)
7.1 INTRODUCTION
FIGURE 40 AUTOMOTIVE HYPERVISOR MARKET, BY END USER, 2021 VS 2026 (USD MILLION)
TABLE 11 AUTOMOTIVE HYPERVISOR MARKET, BY END USER, 2016–2020 (USD MILLION)
TABLE 12 AUTOMOTIVE HYPERVISOR MARKET, BY END USER, 2021–2026 (USD MILLION)
7.2 OPERATIONAL DATA
TABLE 13 SOFTWARE VENDOR: BY END USER
7.2.1 ASSUMPTIONS
TABLE 14 ASSUMPTIONS: BY END USER
7.3 RESEARCH METHODOLOGY
7.4 ECONOMY VEHICLES
7.4.1 ADOPTION OF ADVANCED FEATURES IN ECONOMY SEGMENT EXPECTED TO BOOST GROWTH OF HYPERVISOR TECHNOLOGY MARKET
TABLE 15 ECONOMY VEHICLES: MARKET, BY REGION, 2016–2020 (USD MILLION)
TABLE 16 ECONOMY VEHICLES: MARKET, BY REGION, 2021–2026 (USD MILLION)
7.5 MID-PRICED VEHICLES
7.5.1 ADVANCEMENTS IN INFOTAINMENT FEATURES FOR MID-PRICED SEGMENT IS FUELING THE GROWTH OF THE MARKET
TABLE 17 MID-PRICED VEHICLES: MARKET, BY REGION, 2016–2020 (USD MILLION)
TABLE 18 MID-PRICED VEHICLES: MARKET, BY REGION, 2021–2026 (USD MILLION)
7.6 LUXURY VEHICLES
7.6.1 INCREASING ADOPTION OF CONNECTED VEHICLES IS LEADING TO THE GROWTH OF THE LUXURY VEHICLES SEGMENT
TABLE 19 LUXURY VEHICLES: MARKET, BY REGION, 2016–2020 (USD MILLION)
TABLE 20 LUXURY VEHICLES: MARKET, BY REGION, 2021–2026 (USD MILLION)
7.7 KEY PRIMARY INSIGHTS
FIGURE 41 KEY PRIMARY INSIGHTS
8 AUTOMOTIVE HYPERVISOR MARKET, BY VEHICLE TYPE (Page No. - 92)
8.1 INTRODUCTION
FIGURE 42 PASSENGER CARS SEGMENT IS PROJECTED TO DOMINATE THE MARKET, 2021 VS. 2026 (USD MILLION)
TABLE 21 AUTOMOTIVE HYPERVISOR MARKET, BY VEHICLE TYPE, 2016–2020 (USD MILLION)
TABLE 22 AUTOMOTIVE HYPERVISOR MARKET, BY VEHICLE TYPE, 2021–2026 (USD MILLION)
8.2 OPERATIONAL DATA
TABLE 23 SOFTWARE VENDOR: BY VEHICLE TYPE
8.2.1 ASSUMPTIONS
TABLE 24 ASSUMPTIONS: BY VEHICLE TYPE
8.3 RESEARCH METHODOLOGY
8.4 PASSENGER CARS
8.4.1 INCREASING DEMAND FOR CONNECTED VEHICLES IS EXPECTED TO DRIVE THE GLOBAL MARKET
TABLE 25 PASSENGER CARS: MARKET, BY REGION, 2016–2020 (USD MILLION)
TABLE 26 PASSENGER CARS: MARKET, BY REGION, 2021–2026 (USD MILLION)
8.5 LIGHT COMMERCIAL VEHICLES (LCVS)
8.5.1 INCREASING SALES OF LIGHT COMMERCIAL VEHICLES IN NORTH AMERICA ARE EXPECTED TO DRIVE THE GLOBAL MARKET
TABLE 27 LCVS: MARKET, BY REGION, 2021–2026 (USD MILLION)
8.6 HEAVY COMMERCIAL VEHICLES
8.6.1 ENHANCED COMMUNICATION, AND SAFETY SYSTEMS TO DRIVE THE HEAVY COMMERCIAL VEHICLE MARKET
TABLE 28 HCV: MARKET, BY REGION, 2021–2026 (USD MILLION)
8.7 KEY PRIMARY INSIGHTS
FIGURE 43 KEY PRIMARY INSIGHTS
9 AUTOMOTIVE HYPERVISOR MARKET, BY TYPE (Page No. - 102)
9.1 INTRODUCTION
FIGURE 44 AUTOMOTIVE HYPERVISOR MARKET, BY TYPE, 2021 VS 2026 (USD MILLION)
TABLE 29 AUTOMOTIVE HYPERVISOR MARKET, BY TYPE, 2016–2020 (USD MILLION)
TABLE 30 AUTOMOTIVE HYPERVISOR MARKET, BY TYPE, 2021–2026 (USD MILLION)
9.2 OPERATIONAL DATA
TABLE 31 SOFTWARE VENDOR: BY TYPE
9.2.1 ASSUMPTIONS
TABLE 32 ASSUMPTIONS: BY TYPE
9.3 RESEARCH METHODOLOGY
9.4 TYPE 1
9.4.1 SAFETY APPLICATIONS ARE EXPECTED TO LEAD TO THE DEMAND FOR THE TYPE 1 HYPERVISOR TECHNOLOGY
TABLE 33 TYPE 1 HYPERVISOR: MARKET, BY REGION, 2016–2020 (USD MILLION)
TABLE 34 TYPE 1 HYPERVISOR: MARKET, BY REGION, 2021–2026 (USD MILLION)
9.5 TYPE 2
9.5.1 TYPE 2 HYPERVISOR TO WITNESS DEMAND FROM NON-CRITICAL APPLICATIONS
TABLE 35 TYPE 2 HYPERVISOR: MARKET, BY REGION, 2016–2020 (USD MILLION)
TABLE 36 TYPE 2 HYPERVISOR: MARKET, BY REGION, 2021–2026 (USD MILLION)
9.6 KEY PRIMARY INSIGHTS
FIGURE 45 KEY PRIMARY INSIGHTS
10 AUTOMOTIVE HYPERVISOR MARKET, BY LEVEL OF AUTONOMOUS DRIVING (Page No. - 110)
10.1 INTRODUCTION
10.2 OPERATIONAL DATA
TABLE 37 SOFTWARE VENDOR: BY LEVEL OF AUTONOMOUS DRIVING
10.2.1 ASSUMPTIONS
TABLE 38 ASSUMPTIONS: BY LEVEL OF AUTONOMOUS DRIVING
10.3 RESEARCH METHODOLOGY
10.4 AUTONOMOUS VEHICLES
FIGURE 46 GLOBAL MARKET, BY AUTONOMOUS DRIVING, 2025 VS 2030 (USD MILLION)
10.4.1 NEED FOR HIGH EFFICIENCY IN SELF-DRIVING VEHICLES EXPECTED TO BOOST THE GLOBAL MARKET
TABLE 39 AUTONOMOUS VEHICLES: MARKET, BY REGION, 2025–2030 (USD MILLION)
10.5 SEMI-AUTONOMOUS VEHICLES
FIGURE 47 GLOBAL MARKET, BY SEMI-AUTONOMOUS DRIVING, 2021 VS. 2026 (USD MILLION)
10.5.1 INCREASING SAFETY AND CONVENIENCE APPLICATIONS ARE EXPECTED TO DRIVE HYPERVISOR MARKET
TABLE 40 SEMI-AUTONOMOUS VEHICLES: MARKET, BY REGION, 2016–2020 (USD MILLION)
TABLE 41 SEMI-AUTONOMOUS VEHICLES: MARKET, BY REGION, 2021–2026 (USD MILLION)
10.5.2 LEVEL 1 SEMI AUTONOMOUS VEHICLES
10.5.3 LEVEL 2 SEMI AUTONOMOUS VEHICLES
10.5.4 LEVEL 3 SEMI AUTONOMOUS VEHICLES
TABLE 42 SEMI-AUTONOMOUS VEHICLES: MARKET, BY LEVEL OF AUTONOMY, 2021–2026 (USD MILLION)
10.6 KEY PRIMARY INSIGHTS
FIGURE 48 KEY PRIMARY INSIGHTS
11 AUTOMOTIVE HYPERVISOR MARKET, BY BUS SYSTEM (Page No. - 118)
11.1 INTRODUCTION
11.2 CAN
11.3 ETHERNET
11.4 FLEXRAY
11.5 LIN
12 AUTOMOTIVE HYPERVISOR MARKET, BY REGION (Page No. - 120)
12.1 INTRODUCTION
FIGURE 49 AUTOMOTIVE HYPERVISOR MARKET, BY REGION, 2021 VS. 2026
TABLE 43 AUTOMOTIVE HYPERVISOR MARKET, BY REGION, 2016-2020 (USD MILLION)
TABLE 44 AUTOMOTIVE HYPERVISOR MARKET, BY REGION, 2021–2026 (USD MILLION)
12.2 OPERATIONAL DATA
TABLE 45 SOFTWARE VENDOR: BY REGION
12.2.1 ASSUMPTIONS
TABLE 46 ASSUMPTIONS: BY REGION
12.3 RESEARCH METHODOLOGY
12.4 ASIA PACIFIC
FIGURE 50 ASIA PACIFIC: AUTOMOTIVE HYPERVISOR MARKET SNAPSHOT
TABLE 47 ASIA PACIFIC: MARKET, BY COUNTRY, 2016–2020 (USD MILLION)
TABLE 48 ASIA PACIFIC: MARKET, BY COUNTRY, 2021–2026 (USD MILLION)
TABLE 49 ASIA PACIFIC: MARKET, BY END USER, 2016–2020 (USD MILLION)
TABLE 50 ASIA PACIFIC: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.4.1 CHINA
12.4.1.1 China is the largest producer of automobiles in the world and with an increasing adoption of luxury vehicles
TABLE 51 CHINA: MARKET, BY END USER, 2016–2020 (USD MILLION)
TABLE 52 CHINA: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.4.2 INDIA
12.4.2.1 Significant rise in vehicle production in India expected to propel the growth of the automotive hypervisor market
TABLE 53 INDIA: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.4.3 JAPAN
12.4.3.1 Economy vehicle is projected to be the fastest-growing segment in the Japanese market
TABLE 54 JAPAN: MARKET, BY END USER, 2016–2020 (USD MILLION)
TABLE 55 JAPAN: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.4.4 SOUTH KOREA
12.4.4.1 Introduction of premium vehicles with advanced vehicular features expected to drive the growth of the hypervisor technology
TABLE 56 SOUTH KOREA: MARKET, BY END USER, 2016–2020 (USD MILLION)
TABLE 57 SOUTH KOREA: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.4.5 THAILAND
12.4.5.1 Thailand has the largest automotive production capacity in the Southeast Asian region
TABLE 58 THAILAND: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.4.6 REST OF ASIA PACIFIC
12.4.6.1 Demand for electronically-controlled features in vehicles to drive growth of the hypervisor market
TABLE 59 REST OF APAC: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.5 EUROPE
FIGURE 51 EUROPE: AUTOMOTIVE HYPERVISOR MARKET, BY COUNTRY, 2021 VS. 2026 (USD MILLION)
TABLE 60 EUROPE: MARKET, BY COUNTRY, 2016–2020 (USD MILLION)
TABLE 61 EUROPE: MARKET, BY COUNTRY, 2021–2026 (USD MILLION)
TABLE 62 EUROPE: MARKET, BY END USER, 2016–2020 (USD MILLION)
TABLE 63 EUROPE: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.5.1 FRANCE
12.5.1.1 Government mandates for vehicle safety systems are expected to lead to the growth of the hypervisor market
TABLE 64 FRANCE: MARKET, BY END USER, 2016–2020 (USD MILLION)
TABLE 65 FRANCE: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.5.2 GERMANY
12.5.2.1 High end automotive industry in Germany to lead to high market growth
TABLE 66 GERMANY: MARKET, BY END USER, 2016–2020 (USD MILLION)
TABLE 67 GERMANY: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.5.3 RUSSIA
12.5.3.1 Rise in the sales of mid-priced and luxury passenger cars is expected to boost the market for the automotive hypervisor
TABLE 68 RUSSIA: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.5.4 SPAIN
12.5.4.1 Adoption of advanced features in vehicles is expected to propel the growth of automotive hypervisor technology
TABLE 69 SPAIN: MARKET, BY END USER, 2016–2020 (USD MILLION)
TABLE 70 SPAIN: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.5.5 UK
12.5.5.1 OEMs involved in production of luxury cars expected to lead to market growth
TABLE 71 UK: MARKET, BY END USER, 2016–2020 (USD MILLION)
TABLE 72 UK: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.5.6 REST OF EUROPE
12.5.6.1 Increase in vehicle-to-vehicle communication is expected to lead to market growth in Switzerland and Netherlands
TABLE 73 REST OF EUROPE: MARKET, BY END USER, 2016–2020 (USD MILLION)
TABLE 74 REST OF EUROPE: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.6 NORTH AMERICA
FIGURE 52 NORTH AMERICA: AUTOMOTIVE HYPERVISOR MARKET SNAPSHOT
TABLE 75 NORTH AMERICA: MARKET, BY COUNTRY, 2016–2020 (USD MILLION)
TABLE 76 NORTH AMERICA: MARKET, BY COUNTRY, 2021–2026 (USD MILLION)
TABLE 77 NORTH AMERICA: MARKET, BY END USER, 2016–2020 (USD MILLION)
TABLE 78 NORTH AMERICA: MARKET, BY END USER, 2021–2026 (USD MILLION
12.6.1 CANADA
12.6.1.1 Growth in the demand for high-end cars in Canada is expected to boost the growth of the automotive hypervisor market
TABLE 79 CANADA: MARKET, BY END USER, 2016–2020 (USD MILLION)
TABLE 80 CANADA: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.6.2 MEXICO
12.6.2.1 Mexico’s integration with the North American market is the major factor driving the growth of the country’s automotive industry
TABLE 81 MEXICO: MARKET, BY END USER, 2016–2020 (USD MILLION)
12.6.3 US
12.6.3.1 The US automotive industry is focusing on the development of high-performance vehicles
TABLE 82 US: MARKET, BY END USER, 2016–2020 (USD MILLION)
TABLE 83 US: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.7 REST OF THE WORLD
FIGURE 53 ROW: AUTOMOTIVE HYPERVISOR MARKET, BY COUNTRY, 2021 VS. 2026 (USD MILLION)
TABLE 84 ROW: MARKET, BY COUNTRY, 2016–2020 (USD MILLION)
TABLE 85 ROW: MARKET, BY COUNTRY, 2021–2026 (USD MILLION)
TABLE 86 ROW: MARKET, BY END USER, 2016- 2020 (000’ UNITS)
TABLE 87 ROW: MARKET, BY END USER, 2021–2026 (000’ UNITS)
12.7.1 BRAZIL
12.7.1.1 Strong auto manufacturing base of leading OEMs expected to drive the Brazilian market in the near future
TABLE 88 BRAZIL: MARKET, BY END USER, 2016–2020 (USD MILLION)
TABLE 89 BRAZIL: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.7.2 IRAN
12.7.2.1 Increased adoption of mid- priced passenger cars is expected to drive the automotive hypervisor market in Iran
TABLE 90 IRAN: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.7.3 OTHERS
12.7.3.1 Luxury vehicle segment is projected to be the largest in the hypervisor market in Iran
TABLE 91 REST OF ROW: MARKET, BY END USER, 2021–2026 (USD MILLION)
12.8 KEY PRIMARY INSIGHTS
FIGURE 54 KEY PRIMARY INSIGHTS
13 COMPETITIVE LANDSCAPE (Page No. - 153)
13.1 MARKET EVALUATION FRAMEWORK
FIGURE 55 MARKET EVALUATION FRAMEWORK
13.2 OVERVIEW
FIGURE 56 RIGHT TO WIN – DETAILS ON KEY DEVELOPMENTS BY LEADING PLAYERS
13.3 MARKET SHARE ANALYSIS FOR AUTOMOTIVE HYPERVISOR
TABLE 92 AUTOMOTIVE HYPERVISOR MARKET: DEGREE OF COMPETITION
FIGURE 57 MARKET SHARE ANALYSIS FOR AUTOMOTIVE HYPERVISOR, 2020
13.4 MARKET EVALUATION FRAMEWORK: REVENUE ANALYSIS OF TOP LISTED/PUBLIC PLAYERS
FIGURE 58 TOP PUBLIC/LISTED PLAYERS DOMINATING THE AUTOMOTIVE HYPERVISOR MARKET DURING THE LAST FIVE YEARS
13.5 RANKING ANALYSIS FOR THE AUTOMOTIVE HYPERVISOR MARKET
FIGURE 59 MARKET RANKING ANALYSIS, 2020
13.6 COMPETITIVE SCENARIO
13.6.1 NEW PRODUCT DEVELOPMENTS
TABLE 93 NEW PRODUCT DEVELOPMENTS, 2017–2020
13.6.2 DEALS
TABLE 94 DEALS, 2017–2020
13.6.3 OTHERS
TABLE 95 OTHERS, 2017–2020
13.7 COMPETITIVE LEADERSHIP MAPPING FOR THE AUTOMOTIVE HYPERVISOR MARKET
13.7.1 STARS
13.7.2 EMERGING LEADERS
13.7.3 PERVASIVE
13.7.4 PARTICIPANT
FIGURE 60 AUTOMOTIVE HYPERVISOR MARKET: COMPETITIVE LEADERSHIP MAPPING, 2020
13.8 STRENGTH OF PRODUCT PORTFOLIO
13.8.1 GLOBAL MARKET: COMPANY PRODUCT FOOTPRINT, 2020
13.8.2 GLOBAL MARKET: COMPANY APPLICATION FOOTPRINT, 2020
13.8.3 GLOBAL MARKET: COMPANY INDUSTRY FOOTPRINT, 2020
13.8.4 GLOBAL MARKET: COMPANY REGION FOOTPRINT, 2020
13.9 GLOBAL MARKET: STARTUP/SME EVALUATION MATRIX, 2020
FIGURE 61 GLOBAL MARKET: COMPETITIVE LEADERSHIP MAPPING FOR SOFTWARE VENDORS, 2020
13.10 WINNERS VS. TAIL-ENDERS
TABLE 96 WINNERS VS. TAIL-ENDERS
14 COMPANY PROFILES (Page No. - 171)
(Business overview, Products offerings, Recent developments & MnM View)*
14.1 KEY PLAYERS
14.1.1 BLACKBERRY
TABLE 97 BLACKBERRY: BUSINESS OVERVIEW
FIGURE 62 BLACKBERRY: COMPANY SNAPSHOT
14.1.2 SIEMENS
TABLE 98 SIEMENS: BUSINESS OVERVIEW
FIGURE 63 SIEMENS: COMPANY SNAPSHOT
14.1.3 RENESAS
TABLE 99 RENESAS: BUSINESS OVERVIEW
FIGURE 64 RENESAS: COMPANY SNAPSHOT
14.1.4 NXP
TABLE 100 NXP: BUSINESS OVERVIEW
FIGURE 65 NXP: COMPANY SNAPSHOT
14.1.5 CONTINENTAL
TABLE 101 CONTINENTAL: BUSINESS OVERVIEW
FIGURE 66 CONTINENTAL: COMPANY SNAPSHOT
14.1.6 WIND RIVER SYSTEMS
TABLE 102 WIND RIVER SYSTEMS: BUSINESS OVERVIEW
14.1.7 GREEN HILLS SOFTWARE
TABLE 103 GREEN HILLS SOFTWARE: BUSINESS OVERVIEW
14.1.8 SASKEN
TABLE 104 SASKEN: BUSINESS OVERVIEW
FIGURE 67 SASKEN: COMPANY SNAPSHOT
14.1.9 DENSO
TABLE 105 DENSO: BUSINESS OVERVIEW
FIGURE 68 DENSO: COMPANY SNAPSHOT
14.1.10 VISTEON
TABLE 106 VISTEON: BUSINESS OVERVIEW
FIGURE 69 VISTEON: COMPANY SNAPSHOT
14.1.11 NUTANIX
TABLE 107 NUTANIX: BUSINESS OVERVIEW
FIGURE 70 NUTANIX: COMPANY SNAPSHOT
14.1.12 LUXOFT
TABLE 108 LUXOFT: BUSINESS OVERVIEW
*Details on Business overview, Products offered, Recent developments & MnM View might not be captured in case of unlisted companies.
14.2 OTHER PLAYERS
14.2.1 PANASONIC
14.2.2 HARMAN
14.2.3 KPIT
14.2.4 TATA ELXSI
14.2.5 SYSGO
14.2.6 OPENSYNERGY
14.2.7 HANGSHENG TECHNOLOGY
14.2.8 BITDEFENDER
14.2.9 QT COMPANY
14.2.10 IBM
14.2.11 QUALCOMM
14.2.12 VMWARE
14.2.13 TEXAS INSTRUMENTS
15 APPENDIX (Page No. - 234)
15.1 INSIGHTS FROM INDUSTRY EXPERTS
15.2 DISCUSSION GUIDE
15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.4 AVAILABLE CUSTOMIZATIONS
15.5 RELATED REPORTS
15.6 AUTHOR DETAILS
The study involved four major activities in estimating the current market size for automotive hypervisor. Exhaustive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across value chains through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, market breakdown and data triangulation were used to estimate the market size of segments and subsegments.
Secondary Research
In the secondary research process, various secondary sources such as company annual reports/presentations, press releases, industry association publications, India Electronics & Semiconductor Association, ARTEMIS Industry Association, European Automotive Research Partners Association (EARPA), Motor Industry Software Reliability Association, Association of European Suppliers for Automotive Software (AESAS), China Association Of Automoblie Manufacturers (CAAM)], automotive magazine articles, directories, technical handbooks, World Economic Outlook, trade websites, technical articles, and databases (Marklines and Factiva) have been used to identify and collect information useful for an extensive commercial study of the global automotive hypervisor market.
Primary Research
Extensive primary research has been conducted after acquiring an understanding of this market scenario through secondary research. Several primary interviews have been conducted with market experts from the demand- and supply-side OEMs (in terms of component supply, country-level government associations, and trade associations) and component manufacturers/software vendors across major regions, namely, Asia Pacific, Europe, North America and Rest of world (RoW). Approximately 23% and 77% of primary interviews have been conducted from the demand and supply side, respectively. Primary data has been collected through questionnaires, emails, LinkedIn, and telephonic interviews. In the canvassing of primaries, we have strived to cover various departments within organizations, such as sales, operations, and administration, to provide a holistic viewpoint in our report.
After interacting with industry experts, we conducted brief sessions with highly experienced independent consultants to reinforce the findings from our primaries. This, along with the in-house subject matter experts’ opinions, has led us to the findings as described in the remainder of this report. Following is the breakdown of primary respondents.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
The bottom-up approach was used to estimate and validate the total market size. This method was also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:
- The key players in the industry and markets have been identified through extensive secondary research
- The industry’s supply chain and market size, in terms value, have been determined through primary and secondary research processes
- All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources
Data Triangulation
After arriving at the overall market size—using the market size estimation processes as explained above—the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying various factors and trends from both the demand and supply sides.
Report Objectives
- To define, describe, and forecast the size of the automotive hypervisor market with respect to growth trends and prospects and determine the contribution of the segments to the total market
- To analyze and forecast the size of the market in terms of value (USD million)
- To segment the market and forecast its size, by value, based on region (Asia Pacific, Europe, North America and the Rest of the World (RoW))
- To segment the market and forecast the market size, by value, based on type (type 1 and type 2)
- To segment the market and forecast the market size, by value, based on vehicle type (passenger cars, LCVs, and HCVs)
- To segment the market and forecast the market size, by value, based on end user (economy vehicles, mid-priced vehicles, and luxury vehicles)
- To segment the market and forecast the market size, by value, based on level of autonomous driving (semi-autonomous and autonomous vehicles)
- To segment the global market based on bus system ((Controller Area Network (CAN), Local Interconnect Network (LIN), Ethernet, and Flexray)
- To provide detailed information regarding the major factors influencing market growth (drivers, challenges, restraints, and opportunities)
- To analyze opportunities for stakeholders and the competitive landscape for market leaders
- To strategically analyze markets with respect to individual growth trends, prospects, and contribution to the total market
- To track and analyze competitive developments such as joint ventures, mergers and acquisitions, new product launches, expansions, and other activities carried out by key industry participants
Available Customizations
With the given market data, MarketsandMarkets offers customizations in line with company-specific needs.
Geographic Analysis
- Additional country-level analysis of the automotive hypervisor market
- Country-level data for automotive market, by application
Company Information
- Profiling of additional market players (up to 3)
- Triangulate with your Own Data
- Get Data as per your Format and Definition
- Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
- Any level of Personalization
- What are the Known and Unknown Adjacencies Impacting the Automotive Hypervisor Market
- What will your New Revenue Sources be?
- Who will be your Top Customer; what will make them switch?
- Defend your Market Share or Win Competitors
- Get a Scorecard for Target Partners
Growth opportunities and latent adjacency in Automotive Hypervisor Market