Automotive Software Market by Application (ADAS & Safety, Connected Services, Autonomous Driving, HMI, V2X, Infotainment), Software Layer (OS, Middleware, Application), EV Application (Charging, Battery, V2G), Vehicle and Region - Global Forecast to 2027
[271 Pages Report] The automotive software market was valued at USD 21.7 billion in 2022 and is expected to reach USD 40.1 billion by 2027, at a CAGR of 13.1 % during the forecast period 2022-2027. Compliance towards fuel efficiency standards, comfort, and convenience, and need for reducing vehicle downtime will drive the automotive software market.
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Market Dynamics:
Drivers: Increasing adoption of connected car services will drive the automotive software market
Increasing number of connected cars has opened new revenue-generating opportunities for the stakeholders in the connected car ecosystem. A lot of non-automotive players have entered the race of connected cars and autonomous driving to leverage the opportunity of earning revenues. Today’s vehicles are no more hardware-based moving machines. Today, they comprise almost40% of electronic content, which is expected to become more than 60% in the next few decades. Most of the electronic content will be dominated by domain controllers, consolidated ECUs, HMI, and AI for advanced vehicle applications like ADAS, telematics, engine management systems, etc. These applications need to be programmed with a vast number of lines of code for proper functioning. As vehicles get technically advanced day by day, the complexity of these applications is increasing. As a result, systems need to be programmed with more codes, which, in turn, increases the need for embedded software. Thus, the increasing number of connected cars is driving the automotive software market.
Restraints: Lack of connected infrastructure is a critical restraining factor that is holding back growth of market
The high-priced infrastructure required for 5G and wireless connectivity is affecting the growth of the automotive software market. A large amount of capital required to build the necessary software interaction platforms that include IoT, data analytics, and cloud will remain a key concern. Connected cars and ADAS solutions need fast, agile, and accessible methods to update software to graft in new content. The challenge has become even more evident as the updates require fast connectivity solutions that developing countries are still struggling to develop.
Primary preference is being reserved for over-the-air (OTA) software updates. Furthermore, manufacturers are adding new apps and services—ranging from emergency calling services to traffic alert notifications—without proper connectivity solutions.
Opportinities: Future potential of 5G and AI will create in automotive software market
Rapid evolution in design requirements as well as architectures are impacting requirement of software. The user experience of automotive software depends on wireless connectivity. To find the solution, different telecom company companies are focusing on development of 5G to increase the safety as well as efficiency of automotive software. automobiles are becoming network aware, software defined and ultra-connected data transmitting vehicles and this needs high tech connectivity platform. Understanding these implication as well as challenges for the automotive sector can speed up the adoption of connected cars. 5G will be a key enabler for autonomous vehicles as well as automotive software as they will be able to communicate instantaneously. For example, South Korea and EU have signed a deal for working together on 5G development, both invest USD 1.5 billion and USD 782 million, respectively in funding the local 5G projects. In the United Kingdom, USD 78 million of funding has been approved for 5G research facility 5GIC
Dealing with automotive software results in generation of humongous data which has led to expansion of AI in the automotive sector. Artificial intelligence in automotive software for various purpose such as speech as well as gesture recognition, enhanced HMI, eye tracking, driver monitoring, radar-based detection units, virtual assistance, and engine control units. Deep learning used is estimated to be growing at the fastest rate as compared to other technologies in automotive industry, which, will drive the automotive software market
Challenges: High complexity of vehicle architecture
In the automotive industry, product development is driven by factors such as competition in the automotive software market and stringent regulations for reducing CO2 emissions, which result in product variance, function integration, individualization, and novel technologies. These strategies result in an increase in organizational, technical, and procedural dependencies on highly complicated development environments. From time to time, the effects of complexity surface in the form of waves of defect reports, ultra-high design efforts, and an explosion of warranty costs. Complexity is important for endowing a system having functions and characteristics, but it is also difficult to understand the system. In the code, millions of such elements as local variables, operators, global variables, preprocessors, conditional statements, pointers, threads, functions etc., create complicated units and abstraction layers of large scales.
The passenger car segment is expected to be the largest automotive software market during the forecast period
The passenger car segment is expected to dominate the automotive software market during the forecast period as software services have a higher penetration in passenger cars than commercial vehicles. The major factor accelerating the demand for automotive software in passenger cars in developed countries is a strong demand for highly advanced applications such as ADAS and connected services. The rise in demand of advance applications for the automotive sector led the major player to adopt the strategy. For instance, in February 2021, Harman International (US) acquired Savari Inc (US), an automotive technology company that develops vehicle-to-everything communication technology in 5G Edge and automotive devices. The increasing disposable income in developing countries of Asia Pacific has fueled the demand for passenger cars with technologically advanced services. In 2021, car production in China was around 21.4 million units, while in Japan, it was around 6.6 million units. In South Korea, it accounted for around 3.1 million units; and in India, it was around 3.6 million units in the same year. In 2020, Toyota Kirloskar motor announced an investment of USD 272.6 million for electric components and technology development. Hyundai Motor invested USD 500 million in 2020 to increase the market share in India. In November 2021, Tesla Inc invested USD 187 million to optimize the production line at its Shanghai factory (China). China is rising as one of the leading global export hubs for US electric automakers. Additionally, the demand for automotive software in the region is estimated to increase due to the advent of autonomous driving and IoT and prominent growth in demand for high-end services further.
The software content in passenger vehicles is more than in commercial vehicles. A luxury-class passenger car has more electronic content than an economy and middle-class passenger car. These modern electronic applications are operated by software.
The connected passenger car is a revolution for the automotive industry. They collect massive amounts of data from various sources. The passenger vehicles interact with each other, exchange data, and alert drivers of potential dangers. Moreover, the rise of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications and the advent of semi- and fully autonomous driving would lead to the greatest reposition of value in the automotive software industry. Thus, the need for advanced software in passenger vehicles is of utmost importance with a large V2V and V2I data transfer capacity.
Heavy commercial vehicle segment will be the fastest-growing market in the automotive software market during the forecast period
Heavy commercial vehicles are expected to use IoT services in the future. Hence, software-based electronics applications will be largely used. Therefore, it is important that they are also equipped with software solutions like passenger cars. The demand of the future is the ever-expanding range of built-in software functions that allow performing functions with ease. Fleets are high-cost assets, so maximizing their value is crucial for optimal fleet and vehicle management. The software provides operational and financial expertise to help achieve fleet and vehicle management goals.
Growing demand for satellite navigation, GPS location tracking, and infotainment options is also driving the HCV segment. The option to monitor the location of a vehicle in real time is useful for informing drivers about the oncoming traffic, vehicle accidents, weather issues, OTA updates, and congested routes. Moreover, increasing demand for efficient fuel management will support the growth of advanced powertrain software for commercial vehicles in the near future. In 2020, Mack Trucks (US) announced the launch of driver-activated Mack OTA updates, allowing customers to activate their software updates on their own schedule 24/7 while also improving uptime.
“The Asia Pacific automotive software market is expected to hold the largest share during the forecast period.”
Asia pacific automotive software market is driven by increased demand for connected services, particularly in Japan, China, and South Korea. It is the largest market as it has majority of vehicle production. Although automotive software penetration is very low in the region as compared to Europe and North America, the market size is larger due to larger vehicle production.
Key automotive manufacturers in this region, along with the software providers and system integrators, are focusing on developing and innovating advanced software solutions to support reliable, safe, and performance-oriented automotive applications.
Asia Pacific countries are focusing on manufacturing of automobile components as well as vehicles. For instance, the government of China is working on "Made in China 2025" which is supporting the companies in the country to compete with other global automobile players. This will allow incorporating advance technology such as ADAS, connected services, autonomous driving, infotainment, powertrain management, V2X, vehicle diagnostic & telematics among others. The services fuel the demand of for automotive software in the region.
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Key Market Players
The automotive software market is dominated by a few global players and comprises several regional players. Some of the key players in the automotive software industry are Robert Bosch (Germany), NVIDIA (US), NXP (Netherlands), BlackBerry (Canada), Elektrobit (US), Renesas Electronics (Japan), Airbiquity (US), Wind River Systems (US)and Green Hills Software (US). These companies have strong distribution networks across the globe. Also, these Companies broad product portfolio of software solutions for various applications. The major strategies adopted by these major players to retain their market position are new product developments, contracts & agreements, and collaborations.
Robert Bosch Gmbh is one of the leaders in the market because of its strong distribution channel across the world and wide product portfolio. It offers remote device management, software updates, gateway software, and data management for the automotive industry. Substantial investments for expansion of the software service would result in expansion of its footprint in the market.
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|
Report Metric |
Details |
|
Market Revenue in 2022 |
$21.7 Billion |
|
Estimated Revenue by 2027 |
$40.1 Billion |
|
Revenue Rate |
Projected to grow at a CAGR of 13.1% |
|
Market Driver |
Increasing adoption of connected car services will drive the automotive software market |
|
Market Opportunity |
Future potential of 5G and AI will create in automotive software market |
|
Key Market Players |
Robert Bosch (Germany), NVIDIA (US), NXP (Netherlands), BlackBerry (Canada), Elektrobit (US), Renesas Electronics (Japan), Airbiquity (US), Wind River Systems (US)and Green Hills Software (US). |
This research report categorizes the automotive software market based on application, software layer, EV application, vehicle type, and region.
Based on the application:
- ADAS & Safety Systems
- Body Control & Comfort System
- Powertrain System
- Infotainment System
- Communication System
- Vehicle Management & Telematics
- Connected Services
- Autonomous Driving
- HMI Application
- Biometrics
- Remote Monitoring
- V2X System
Based on vehicle type:
- Passenger car
- LCV
- HCV
Based on the software layer:
- Operating System
- Middleware
- Application software
Based on the EV application:
- Charging Management
- Battery Management
- V2G
Based on the region:
-
Asia Pacific
- China
- India
- Japan
- South Korea
- Thailand
- Rest of Asia Pacific
-
North America
- US
- Canada
- Mexico
-
Europe
- France
- Germany
- Russia
- Italy
- Spain
- Turkey
- UK
- Rest of Europe
-
Latin America
- Brazil
- Argentina
- Rest of LATAM
-
Rest of the World
- Iran
- South Africa
- Rest of RoW
Recent Developments
- In February 2022, NXP Semiconductors launched the S32G GoldVIP to address the real-time and application development challenges of software-defined vehicles. This vehicle integration platform offers multiple value propositions for S32G processor evaluation, software development, and rapid prototyping efforts.
- In December 2021, Robert Bosch GmbH (Bosch) has developed a high-performance infotainment domain computing system. It helps quickly bring features like in-car communication, in-car payment, video streaming, voice assistants, and more to vehicles. The information domain computer combines its leading expertise in automotive software solutions and domain-specific hardware expertise with solutions from a network of industry-leading technology companies.
- In April 2021, Airbiquity, the provider of connected vehicle services today, has expanded a multi-year technology collaboration with NXP Semiconductors to pre-integrate and demonstrate efficient, secure, and highly scalable automotive software updates and data management for intelligent connected vehicles.
- In October 2021, Renesas Electronics has developed a system-on-a-chip (SoC) for automotive central computer gateways. Together with its existing products that control computers for domains such as autonomous driving and cockpits, the company plans to advance next-generation electrical/electronic (E/E) architectures. Electric control units (ECUs) are increasingly integrated and equipped with greater functionality for the proliferation of advanced driver assistance systems (ADASs) and autonomous driving technologies. Renesas Electronics intends to support the development of next-generation vehicles led by software.
- In September 2019, DENSO Corporation (Japan) and BlackBerry Limited developed the first integrated HMI (Human Machine Interface) digital cockpit system with BlackBerry QNX technology, has shipped in the first vehicles by Japanese automotive manufacturer Subaru.
Frequently Asked Questions (FAQ):
How big is the automotive software market?
The automotive software market was valued at $21.7 billion in 2022 and is expected to reach $40.1 billion by 2027, at a CAGR of 13.1 % during the forecast period 2022-2027.
Which countries are considered in the Asian region?
The report includes Asia Pacific countries such as:
- China
- India
- Japan
- South Korea
- Thailand
- Rest of Asia Pacific
We are interested in regional market for vehicle types? Does this report cover vehicle types?
Yes, market for vehicle type are covered at global level. However, regional level markets can be provided as separate customization.
Does this report provide insights on EV application?
Yes, EV application is covered for vehicle type, Battery Management System, and V2G .
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 33)
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 AUTOMOTIVE SOFTWARE MARKET DEFINITION AND INCLUSIONS, BY SOFTWARE LAYER
TABLE 1 MARKET DEFINITION AND INCLUSIONS, BY SOFTWARE LAYER
1.2.2 MARKET DEFINITION AND INCLUSIONS, BY APPLICATION
TABLE 2 MARKET DEFINITION AND INCLUSIONS, BY APPLICATION
1.2.3 MARKET DEFINITION AND INCLUSIONS, BY EV APPLICATION
TABLE 3 MARKET DEFINITION AND INCLUSIONS, BY EV APPLICATION
1.2.4 MARKET DEFINITION AND INCLUSIONS, BY VEHICLE TYPE
TABLE 4 MARKET DEFINITION AND INCLUSIONS, BY VEHICLE TYPE
1.2.5 INCLUSIONS & EXCLUSIONS
TABLE 5 INCLUSIONS & EXCLUSIONS FOR MARKET
1.3 MARKET SCOPE
1.3.1 MARKETS COVERED
FIGURE 1 MARKET: MARKET SEGMENTATION
1.3.2 YEARS CONSIDERED
1.4 CURRENCY
TABLE 6 USD EXCHANGE RATES
1.5 UNITS CONSIDERED
1.6 LIMITATIONS
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 43)
2.1 RESEARCH DATA
FIGURE 2 AUTOMOTIVE SOFTWARE MARKET: RESEARCH DESIGN
FIGURE 3 RESEARCH DESIGN MODEL
2.2 SECONDARY DATA
2.2.1 KEY DATA FROM SECONDARY SOURCES
2.3 PRIMARY DATA
2.3.1 BREAKDOWN OF PRIMARY INTERVIEWS
2.3.2 PRIMARY PARTICIPANTS
2.4 MARKET ESTIMATION METHODOLOGY
FIGURE 4 RESEARCH METHODOLOGY: HYPOTHESIS BUILDING
2.5 MARKET SIZE ESTIMATION
2.5.1 MARKET: BOTTOM-UP APPROACH
2.5.2 MARKET: TOP-DOWN APPROACH
FIGURE 5 MARKET: RESEARCH APPROACH
FIGURE 6 MARKET: RESEARCH METHODOLOGY ILLUSTRATION OF SUPPLY-SIDE REVENUE ESTIMATION
FIGURE 7 MARKET: RESEARCH METHODOLOGY ILLUSTRATION OF NXP SEMICONDUCTORS REVENUE ESTIMATION
FIGURE 8 MARKET: RESEARCH DESIGN & METHODOLOGY
2.6 MARKET BREAKDOWN AND DATA TRIANGULATION
FIGURE 9 DATA TRIANGULATION
2.7 FACTOR ANALYSIS
2.8 ASSUMPTIONS
TABLE 7 MAJOR ASSUMPTIONS
3 EXECUTIVE SUMMARY (Page No. - 56)
FIGURE 10 MARKET: MARKET OUTLOOK
FIGURE 11 MARKET, BY REGION
FIGURE 12 MARKET, BY VEHICLE TYPE, 2022 VS. 2027 (USD MILLION)
4 PREMIUM INSIGHTS (Page No. - 60)
4.1 MARKET TO GROW AT SIGNIFICANT RATE DURING FORECAST PERIOD (2022–2027)
FIGURE 13 INCREASING DEMAND FOR SAFETY AND DRIVING ASSISTANCE FEATURES TO BOOST MARKET GROWTH
4.2 MARKET, BY REGION
FIGURE 14 ASIA PACIFIC PROJECTED TO DOMINATE MARKET DURING FORECAST PERIOD
4.3 MARKET, BY APPLICATION
FIGURE 15 ADAS & SAFETY SYSTEMS EXPECTED TO HOLD LARGEST MARKET SHARE, 2022 VS. 2027 (USD MILLION)
4.4 MARKET, BY SOFTWARE LAYER
FIGURE 16 OPERATING SYSTEM EXPECTED TO HAVE LARGEST MARKET SHARE, 2022 VS. 2027 (USD MILLION)
4.5 MARKET, BY EV APPLICATION
FIGURE 17 BATTERY MANAGEMENT SUBSEGMENT ESTIMATED TO HOLD LARGER MARKET SHARE, 2022 VS. 2027 (USD MILLION)
4.6 MARKET, BY VEHICLE TYPE
FIGURE 18 PASSENGER CARS SUBSEGMENT TO GROW AT HIGHER CAGR, 2022 VS. 2027 (USD MILLION)
5 MARKET OVERVIEW (Page No. - 63)
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 19 MARKET: DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Adoption of ADAS features in vehicles
TABLE 8 REGULATIONS DRIVING SOFTWARE MARKET
5.2.1.2 Increasing adoption of connected car services
TABLE 9 CONNECTED CAR, BY FORM TYPE, FEATURES
5.2.1.3 Intervention of innovative technologies for advanced UI
5.2.1.4 Growing collaborations between OEMs and software & hardware providers and extensive R&D
5.2.2 RESTRAINTS
5.2.2.1 Lack of standard protocols to develop software platforms
5.2.2.2 Lack of connected infrastructure
5.2.2.3 Troubleshooting and maintenance of automotive software
5.2.3 OPPORTUNITIES
5.2.3.1 Future potential of 5G and AI
TABLE 10 5G DEPLOYMENT AND ROLLOUT
TABLE 11 RECENT DEVELOPMENTS IN 5G TECHNOLOGY
5.2.3.2 Growing developments in semi-autonomous and autonomous vehicles
TABLE 12 SELF-DRIVING CARS FOR RIDE-HAILING: NEW PRODUCT/SERVICE DEVELOPMENTS
FIGURE 20 MAJOR ASPECTS OF AUTONOMOUS DRIVING
TABLE 13 ROADMAP FOR TECHNOLOGY LEVEL & IMPLEMENTATION OF SEMI-AUTONOMOUS AND AUTONOMOUS DRIVING SYSTEM
5.2.3.3 Data monetization in extended automotive ecosystem
5.2.3.4 SOTA updates to reduce vehicle recalls
5.2.3.5 Rise in demand for luxury cars
TABLE 14 PRODUCTION VOLUME OF LUXURY CAR MODELS, 2020 VS. 2021
5.2.4 CHALLENGES
5.2.4.1 Risk of cybersecurity
FIGURE 21 NEW STUDY HIGHLIGHTS CRITICAL CYBERSECURITY RISKS IN AUTOMOTIVE SECTOR
5.2.4.2 High complexity of vehicle architecture
5.3 AUTOMOTIVE SOFTWARE MARKET: PORTER'S FIVE FORCES MODEL
FIGURE 22 MARKET: PORTER’S FIVE FORCES MODEL
TABLE 15 MARKET: IMPACT OF PORTERS FIVE FORCES
5.3.1 THREAT OF SUBSTITUTES
5.3.2 THREAT OF NEW ENTRANTS
5.3.3 BARGAINING POWER OF BUYERS
5.3.4 BARGAINING POWER OF SUPPLIERS
5.3.5 INTENSITY OF COMPETITIVE RIVALRY
5.4 MARKET ECOSYSTEM
FIGURE 23 MARKET: ECOSYSTEM ANALYSIS
5.4.1 AUTOMOTIVE SYSTEM PROVIDERS
5.4.2 AUTOMOTIVE SOFTWARE DEVELOPERS
5.4.3 OEMS
TABLE 16 MARKET: ROLE OF COMPANIES IN ECOSYSTEM
5.5 VALUE CHAIN ANALYSIS
FIGURE 24 VALUE CHAIN ANALYSIS
5.6 TECHNOLOGY ANALYSIS
5.6.1 INTRODUCTION
5.6.2 AUTOMOTIVE SOFTWARE DEVELOPMENT
FIGURE 25 V-MODEL OF AUTOMOTIVE SOFTWARE DEVELOPMENT
5.6.2.1 Requirements analysis
5.6.2.2 System design
5.6.2.3 Component design
5.6.2.4 Implementation
5.6.2.5 Unit testing
5.6.2.6 Integration testing
5.6.2.7 System testing
5.6.3 CONSOLIDATION OF ECU AND DOMAIN-CONTROLLER FUNCTIONALITY
FIGURE 26 EVOLUTION OF DOMAIN CENTRALIZATION ARCHITECTURE
FIGURE 27 ECU CONSOLIDATION AND RESULTING IMPLICATIONS
5.6.4 OVER-THE-AIR (OTA) UPDATES
5.6.5 AI IN AUTOMOTIVE
5.6.6 CYBERSECURITY FOR IN-VEHICLE SOFTWARE
FIGURE 28 DATA FROM AUTONOMOUS VEHICLES
5.6.7 NEED FOR SOFTWARE IN AUTONOMOUS DRIVING
FIGURE 29 SOCIETY OF AUTOMOTIVE ENGINEERS AUTOMATION LEVELS
5.6.8 CHANGING AUTOMOTIVE INDUSTRY WITH APPLICATION PROGRAM INTERFACE (API)
5.6.9 USE OF OPEN-SOURCE SOFTWARE (OSS) IN AUTOMOTIVE
5.7 AUTOMOTIVE SOFTWARE CONSORTIUMS
5.7.1 AUTOSAR
FIGURE 30 3-LAYERED AUTOSAR SOFTWARE ARCHITECTURE
5.7.1.1 Basic software (BSW)
5.7.1.2 AUTOSAR runtime environment (RTE)
5.7.1.3 Application layer
TABLE 17 BENEFITS OF AUTOSAR FOR CONSORTIUMS
5.7.2 GENIVI ALLIANCE
TABLE 18 GENIVI COMPLIANT PRODUCTS
5.7.2.1 Major benefits of GENIVI compliance program
5.7.2.2 GENIVI-compliant software platforms
FIGURE 31 GENIVI-COMPLIANT SOFTWARE PLATFORM
5.7.3 INTERNATIONAL STANDARDS FOR AUTOMOTIVE SOFTWARE QUALITY
5.7.3.1 Systems and software engineering: ISO/IEC 12207
5.7.3.2 Automotive SPICE: ISO/IEC 15504 and ISO/IEC 33001
5.7.3.3 Software engineering-product quality: ISO/IEC 9126 and ISO/IEC 25010:2011
5.7.3.4 Functional safety road vehicles: ISO 26262 and IEC 61508
5.8 PATENT ANALYSIS
5.8.1 APPROACH
5.8.2 DOCUMENT TYPE
TABLE 19 PATENTS DOCUMENTED OVER TIME
FIGURE 32 PATENTS REGISTERED FOR AUTOMOTIVE SOFTWARE, 2011–2022
FIGURE 33 PATENT PUBLICATION TRENDS FOR AUTOMOTIVE SOFTWARE, 2011–2022
5.8.3 LEGAL STATUS OF PATENTS
FIGURE 34 LEGAL STATUS OF PATENTS FILED FOR AUTOMOTIVE SOFTWARE
5.8.4 JURISDICTION ANALYSIS
FIGURE 35 HIGHEST NUMBER OF PATENTS FILED BY COMPANIES IN US
5.8.5 TOP APPLICANTS
FIGURE 36 SAMSUNG ELECTRONICS CO., LTD. REGISTERED HIGHEST NUMBER OF PATENTS BETWEEN 2011 AND 2022
TABLE 20 PATENT PUBLICATION
5.9 ECOSYSTEM ANALYSIS
FIGURE 37 MARKET: ECOSYSTEM ANALYSIS
5.10 CASE STUDY ANALYSIS
5.10.1 GREEN HILLS SOFTWARE POWERS LATEST ADVANCEMENTS IN MULTI-OS AUTOMOTIVE COCKPIT PLATFORMS FOR MARELLI
5.10.2 GREEN HILLS SOFTWARE DELIVERS SAFETY AND SECURITY FOR MAHINDRA RACING’S ALL-ELECTRIC FORMULA E RACE CAR
5.10.3 WIND RIVER AND AIRBIQUITY TEAMS ON VEHICLE-TO-CLOUD OTA SOLUTIONS FOR CONNECTED AND AUTONOMOUS CARS
5.10.4 AUTOMOTIVE IN-VEHICLE NETWORKING PRODUCTS FOR ADVANCED VEHICLE GATEWAY PLATFORMS
5.11 REGULATORY FRAMEWORK
5.12 KEY CONFERENCES & EVENTS IN 2022–2023
TABLE 21 MARKET: DETAILED LIST OF CONFERENCES & EVENTS
5.13 TARIFF AND REGULATORY LANDSCAPE
5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 22 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 23 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 24 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 25 REST OF THE WORLD: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.14 MARKET, SCENARIOS (2022–2027)
5.14.1 MOST LIKELY SCENARIO
TABLE 26 MARKET (MOST LIKELY), BY REGION, 2022–2027 (USD MILLION)
5.14.2 OPTIMISTIC SCENARIO
TABLE 27 MARKET (OPTIMISTIC), BY REGION, 2022–2027 (USD MILLION)
5.14.3 PESSIMISTIC SCENARIO
TABLE 28 MARKET (PESSIMISTIC), BY REGION, 2022–2027 (USD MILLION)
6 AUTOMOTIVE SOFTWARE MARKET, BY APPLICATION (Page No. - 107)
6.1 INTRODUCTION
6.1.1 OPERATIONAL DATA
TABLE 29 NEW SAFETY FEATURES IN CARS BY EUROPEAN COMMISSION
6.1.2 RESEARCH METHODOLOGY
6.1.3 ASSUMPTIONS
TABLE 30 ASSUMPTIONS, BY APPLICATION
6.1.4 KEY PRIMARY INSIGHTS: BY APPLICATION
FIGURE 38 MARKET, BY APPLICATION, 2022 VS. 2027 (USD MILLION)
TABLE 31 MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 32 MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
6.2 ADAS & SAFETY SYSTEMS
6.2.1 GOVERNMENT FOCUS ON VEHICLE SAFETY TO DRIVE MARKET
TABLE 33 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 34 MARKET, BY REGION, 2022–2027 (USD MILLION)
6.3 BODY CONTROL & COMFORT SYSTEMS
6.3.1 FOCUS ON PROVIDING COMFORT AND CONVENIENCE TO CONSUMERS TO BOOST MARKET
TABLE 35 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 36 MARKET, BY REGION, 2022–2027 (USD MILLION)
6.4 ENGINE MANAGEMENT & POWERTRAIN
6.4.1 INCREASING ELECTRONIC CONTROL OF VEHICLE POWERTRAIN TO FUEL MARKET
TABLE 37 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 38 MARKET, BY REGION, 2022–2027 (USD MILLION)
6.5 INFOTAINMENT SYSTEMS
6.5.1 ADOPTION OF INFOTAINMENT SYSTEMS IN PASSENGER AND COMMERCIAL VEHICLES TO PUSH MARKET
TABLE 39 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 40 MARKET, BY REGION, 2022–2027 (USD MILLION)
6.6 COMMUNICATION SYSTEMS
6.6.1 INCREASING DEMAND FOR HIGH-END COMMUNICATION PLATFORMS TO DRIVE MARKET
TABLE 41 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 42 MARKET, BY REGION, 2022–2027 (USD MILLION)
6.7 VEHICLE MANAGEMENT & TELEMATICS
6.7.1 FLEET MANAGEMENT, MONITORING DRIVING BEHAVIOR, AND USAGE-BASED INSURANCE (UBI) TO DRIVE MARKET
TABLE 43 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 44 MARKET, BY REGION, 2022–2027 (USD MILLION)
6.8 CONNECTED SERVICES
6.8.1 OPTIMIZING VEHICLE MANAGEMENT AND FOCUSING ON REAL-TIME SAFETY TO AMPLIFY MARKET
TABLE 45 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 46 MARKET, BY REGION, 2022–2027 (USD MILLION)
6.9 AUTONOMOUS DRIVING
6.9.1 INTRODUCTION OF HIGH-LEVEL AUTOMATION TO INCREASE MARKET DEMAND
TABLE 47 AMARKET, BY REGION, 2022–2027 (USD MILLION)
6.10 HMI APPLICATIONS
6.10.1 INCREASING CUSTOMIZED DEMAND FOR HIGH-TECH CONNECTED EXPERIENCE TO HELP DEVELOP MARKET DEMAND
6.11 BIOMETRICS SYSTEMS
6.11.1 FOCUS ON PREVENTING VEHICLE THEFT TO ELEVATE DEMAND
6.12 V2X SYSTEMS
6.12.1 COMMUNICATION AMONG VEHICLES, INFRASTRUCTURE, PEDESTRIANS, AND DEVICES TO ACCELERATE MARKET DEMAND
6.13 REMOTE MONITORING
6.13.1 NEED FOR REDUCING VEHICLE DOWNTIME AND MAINTENANCE COSTS TO HELP EXPAND DEMAND
7 AUTOMOTIVE SOFTWARE MARKET, BY SOFTWARE LAYER (Page No. - 122)
7.1 INTRODUCTION
7.1.1 RESEARCH METHODOLOGY
7.1.2 ASSUMPTIONS
TABLE 48 ASSUMPTIONS, BY SOFTWARE LAYER
7.1.3 KEY PRIMARY INSIGHTS: BY SOFTWARE LAYER
FIGURE 39 MARKET, BY SOFTWARE LAYER, 2022 VS 2027 (USD MILLION)
TABLE 49 MARKET: BY SOFTWARE LAYER, 2018–2021 (USD MILLION)
TABLE 50 MARKET: BY SOFTWARE LAYER, 2022–2027 (USD MILLION)
7.2 OPERATING SYSTEMS
7.2.1 DEMAND FOR FASTER AND RELIABLE OS TO DRIVE SEGMENT
TABLE 51 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 52 MARKET, BY REGION, 2022–2027 (USD MILLION)
7.3 MIDDLEWARE
7.3.1 NEED FOR MORE FLEXIBLE AND ADAPTIVE LAYERS TO ASSIST IN SEGMENT GROWTH
TABLE 53 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 54 MARKET, BY REGION, 2022–2027 (USD MILLION)
7.4 APPLICATION SOFTWARE
7.4.1 GROWING DEMAND FOR HIGH-END APPLICATIONS TO AID SEGMENT GROWTH
TABLE 55 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 56 MARKET, BY REGION, 2022–2027 (USD MILLION)
8 AUTOMOTIVE SOFTWARE MARKET, BY VEHICLE TYPE (Page No. - 129)
8.1 INTRODUCTION
8.1.1 RESEARCH METHODOLOGY
8.1.2 ASSUMPTIONS
TABLE 57 MAJOR ASSUMPTIONS, BY VEHICLE TYPE
8.1.3 KEY PRIMARY INSIGHTS: BY VEHICLE TYPE
FIGURE 40 MARKET, BY VEHICLE TYPE, 2022 VS. 2027 (USD MILLION)
TABLE 58 MARKET, BY VEHICLE TYPE, 2018–2021 (USD MILLION)
TABLE 59 MARKET, BY VEHICLE TYPE, 2022–2027 (USD MILLION)
8.2 PASSENGER CARS
8.2.1 DEMAND FOR ADVANCED APPLICATIONS TO INCREASE SEGMENT GROWTH
TABLE 60 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 61 MARKET, BY REGION, 2022–2027 (USD MILLION)
TABLE 62 MARKET, BY PC SEGMENT, 2018–2021 (USD MILLION)
TABLE 63 MARKET, BY PC SEGMENT, 2022–2027(USD MILLION)
8.2.2 A SEGMENT: PASSENGER CARS
8.2.2.1 Sluggish demand for A segment as consumers expected to buy high-end models
TABLE 64 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 65 MARKET, BY REGION, 2022–2027 (USD MILLION)
8.2.3 B SEGMENT: PASSENGER CARS
8.2.3.1 Increasing vehicle production to drive demand for B segment cars
TABLE 66 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 67 MARKET, BY REGION, 2022–2027 (USD MILLION)
8.2.4 C SEGMENT: PASSENGER CARS
8.2.4.1 Continuous increase in C segment vehicles to strengthen market
TABLE 68 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 69 MARKET, BY REGION, 2022–2027 (USD MILLION)
8.2.5 D SEGMENT: PASSENGER CARS
8.2.5.1 Shifting consumer preference toward high-end cars in Asia Pacific to fuel segment growth
TABLE 70 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 71 MARKET, BY REGION, 2022–2027 (USD MILLION)
8.2.6 E SEGMENT: PASSENGER CARS
8.2.6.1 High demand for E segment cars in North America to intensify market demand
TABLE 72 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 73 MARKET, BY REGION, 2022–2027 (USD MILLION)
8.2.7 F SEGMENT: PASSENGER CARS
8.2.7.1 Higher purchasing power of European consumers to augment F segment
TABLE 74 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 75 MARKET, BY REGION, 2022–2027 (USD MILLION)
8.3 LIGHT COMMERCIAL VEHICLES
8.3.1 STRINGENT NORMS IN EUROPE REGARDING MANDATORY TELEMATICS SERVICES TO DRIVE DEMAND
TABLE 76 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 77 MARKET, BY REGION, 2022–2027 (USD MILLION)
8.4 HEAVY COMMERCIAL VEHICLES
8.4.1 GROWING DEMAND FOR FLEET & VEHICLE MANAGEMENT TO PROMOTE MARKET GROWTH
TABLE 78 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 79 MARKET, BY REGION, 2022–2027 (USD MILLION)
9 AUTOMOTIVE SOFTWARE MARKET, BY EV APPLICATION (Page No. - 143)
9.1 INTRODUCTION
9.1.1 RESEARCH METHODOLOGY
9.1.2 ASSUMPTIONS
TABLE 80 MAJOR ASSUMPTIONS, BY EV APPLICATION
9.1.3 KEY PRIMARY INSIGHTS: BY EV APPLICATION
FIGURE 41 MARKET, BY EV APPLICATION, 2022 VS. 2027 (USD MILLION)
TABLE 81 MARKET, BY EV APPLICATION, 2018–2021 (USD MILLION)
TABLE 82 MARKET, BY EV APPLICATION, 2022–2027 (USD MILLION)
9.2 CHARGING MANAGEMENT
9.2.1 INCREASING ADOPTION OF ELECTRIC VEHICLES TO LEAD TO SEGMENT GROWTH
TABLE 83 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 84 MARKET, BY REGION, 2022–2027 (USD MILLION)
9.3 BATTERY MANAGEMENT
9.3.1 NEED TO MAINTAIN RELIABILITY AND SAFETY TO LEAD TO SEGMENT GROWTH
TABLE 85 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 86 MARKET, BY REGION, 2022–2027 (USD MILLION)
9.4 V2G
9.4.1 INVESTMENTS IN EV INFRASTRUCTURE TO DRIVE DEMAND
10 AUTOMOTIVE SOFTWARE MARKET, BY REGION (Page No. - 149)
10.1 INTRODUCTION
10.1.1 ASSUMPTIONS
TABLE 87 ASSUMPTIONS, REGION
10.1.2 KEY PRIMARY INSIGHTS: BY REGION
FIGURE 42 MARKET, BY REGION, 2022–2027 (USD MILLION)
TABLE 88 MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 89 MARKET, BY REGION, 2022–2027 (USD MILLION)
10.2 ASIA PACIFIC
FIGURE 43 ASIA PACIFIC: MARKET SNAPSHOT
TABLE 90 ASIA PACIFIC: MARKET, BY COUNTRY, 2018–2021, (USD MILLION)
TABLE 91 ASIA PACIFIC: MARKET, BY COUNTRY, 2022–2027, (USD MILLION)
10.2.1 CHINA
10.2.1.1 Developed V2X networking to drive market
TABLE 92 13 C-V2X ENABLED VEHICLES LAUNCHED IN CHINA
TABLE 93 CHINA: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 94 CHINA: MARKET, BY APPLICATION, 2018–2021, (USD MILLION)
TABLE 95 CHINA: MARKET, BY APPLICATION, 2022–2027, (USD MILLION)
10.2.2 INDIA
10.2.2.1 Demand for powertrain systems to reduce fuel consumption and emissions to drive market
TABLE 96 INDIA: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 97 INDIA: MARKET, BY APPLICATION, 2018–2021, (USD MILLION)
TABLE 98 INDIA: MARKET, BY APPLICATION, 2022–2027, (USD MILLION)
10.2.3 JAPAN
10.2.3.1 Technological innovations and implementation of 5G to drive market
TABLE 99 JAPAN: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 100 JAPAN: MARKET, BY APPLICATION, 2018–2021, (USD MILLION)
TABLE 101 JAPAN: MARKET, BY APPLICATION, 2022–2027, (USD MILLION)
10.2.4 SOUTH KOREA
10.2.4.1 Launch of 5G connectivity to drive market
TABLE 102 SOUTH KOREA: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 103 SOUTH KOREA: MARKET, BY APPLICATION, 2018–2021, (USD MILLION)
TABLE 104 SOUTH KOREA: MARKET, BY APPLICATION, 2022–2027, (USD MILLION)
10.2.5 THAILAND
10.2.5.1 Subsidies and foreign investments to drive market
TABLE 105 THAILAND VEHICLE PRODUCTION (THOUSAND UNITS)
TABLE 106 THAILAND: MARKET, BY APPLICATION, 2018–2021, (USD MILLION)
TABLE 107 THAILAND: MARKET, BY APPLICATION, 2022–2027, (USD MILLION)
10.2.6 REST OF ASIA PACIFIC
TABLE 108 REST OF ASIA PACIFIC VEHICLE PRODUCTION (THOUSAND UNITS)
TABLE 109 REST OF ASIA PACIFIC: MARKET, BY APPLICATION, 2018–2021, (USD MILLION)
TABLE 110 REST OF ASIA PACIFIC: MARKET, BY APPLICATION, 2022–2027, (USD MILLION)
10.3 EUROPE
TABLE 111 EUROPE: MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
TABLE 112 EUROPE: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
10.3.1 GERMANY
10.3.1.1 Preference for premium cars with advanced software applications to drive market
TABLE 113 GERMANY: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 114 GERMANY: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 115 GERMANY: MARKET, BY APPLICATION, 2022–2027(USD MILLION)
10.3.2 FRANCE
10.3.2.1 Mandates regarding autonomous features to drive market
TABLE 116 FRANCE: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 117 FRANCE: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 118 FRANCE: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
10.3.3 UK
10.3.3.1 Government focus on connected cars and autonomous services to drive market
TABLE 119 UK: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 120 UK: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 121 UK: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
10.3.4 SPAIN
10.3.4.1 Adoption of AI and cloud computing to drive market
TABLE 122 SPAIN: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 123 SPAIN: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 124 SPAIN: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
10.3.5 ITALY
10.3.5.1 Focus on deployment of connected car ecosystem to drive market
TABLE 125 ITALY: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 126 ITALY: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 127 ITALY: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
10.3.6 RUSSIA
10.3.6.1 Telematics mandates to drive market
TABLE 128 RUSSIA: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 129 RUSSIA: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 130 RUSSIA: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
10.3.7 TURKEY
10.3.7.1 Increasing vehicle production to drive market
TABLE 131 TURKEY: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 132 TURKEY: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 133 TURKEY: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
10.3.8 REST OF EUROPE
TABLE 134 REST OF EUROPE: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 135 REST OF EUROPE: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
10.4 NORTH AMERICA
FIGURE 44 NORTH AMERICA: MARKET, SNAPSHOT
TABLE 136 NORTH AMERICA: MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
TABLE 137 NORTH AMERICA: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
10.4.1 US
10.4.1.1 Upcoming mandates regarding collision avoidance to drive market
TABLE 138 US: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 139 US: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 140 US: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
10.4.2 CANADA
10.4.2.1 Government investments in development of connected and autonomous ecosystems to drive market
TABLE 141 CANADA: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 142 CANADA: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 143 CANADA: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
10.4.3 MEXICO
10.4.3.1 Increasing production of light trucks with telematics to drive market
TABLE 144 MEXICO: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 145 MEXICO: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 146 MEXICO: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
10.5 LATIN AMERICA
TABLE 147 LATIN AMERICA: MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
TABLE 148 LATIN AMERICA: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
10.5.1 BRAZIL
10.5.1.1 Increase in number of commercial vehicles to drive market
TABLE 149 BRAZIL: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 150 BRAZIL: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 151 BRAZIL: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
10.5.2 ARGENTINA
10.5.2.1 Rapidly growing internet infrastructure to drive market
TABLE 152 ARGENTINA: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 153 ARGENTINA: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 154 ARGENTINA: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
10.5.3 REST OF LATIN AMERICA
TABLE 155 REST OF LATIN AMERICA MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 156 REST OF LATIN AMERICA MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
10.6 REST OF THE WORLD
TABLE 157 REST OF THE WORLD: MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
TABLE 158 REST OF THE WORLD: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
10.6.1 IRAN
10.6.1.1 Penetration of ADAS and safety features to drive market
TABLE 159 IRAN: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 160 IRAN: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 161 IRAN: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
10.6.2 SOUTH AFRICA
10.6.2.1 Focus on increasing vehicle production to drive market
TABLE 162 SOUTH AFRICA: VEHICLE PRODUCTION DATA (THOUSAND UNITS)
TABLE 163 SOUTH AFRICA: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 164 SOUTH AFRICA: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
10.6.3 OTHERS
TABLE 165 OTHERS: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
TABLE 166 OTHERS: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
11 RECOMMENDATIONS BY MARKETSANDMARKETS (Page No. - 200)
11.1 ASIA PACIFIC TO HOLD MAJOR SHARE OF AUTOMOTIVE SOFTWARE MARKET
11.2 CONNECTED SERVICES TO CREATE REVENUE OPPORTUNITIES FOR AUTOMOTIVE SOFTWARE PROVIDERS
11.3 CONCLUSION
12 COMPETITIVE LANDSCAPE (Page No. - 202)
12.1 OVERVIEW
TABLE 167 KEY DEVELOPMENTS BY LEADING PLAYERS, 2019–2022
12.2 MARKET SHARE ANALYSIS, 2021
TABLE 168 MARKET SHARE ANALYSIS, 2021
12.3 REVENUE ANALYSIS OF TOP LISTED/PUBLIC PLAYERS
FIGURE 45 TOP PUBLIC/LISTED PLAYERS DOMINATING AUTOMOTIVE SOFTWARE MARKET DURING LAST 5 YEARS
12.4 COMPETITIVE SCENARIO
12.4.1 COLLABORATIONS/JOINT VENTURES/SUPPLY CONTRACTS/ PARTNERSHIPS/AGREEMENTS
TABLE 169 COLLABORATIONS/JOINT VENTURES/SUPPLY CONTRACTS/PARTNERSHIPS/ AGREEMENTS, 2019–2022
12.4.2 NEW PRODUCT DEVELOPMENTS, 2019–2022
TABLE 170 NEW PRODUCT LAUNCHES, 2019–2022
12.4.3 MERGERS & ACQUISITIONS, 2019–2022
TABLE 171 MERGERS & ACQUISITIONS, 2019–2022
12.4.4 EXPANSIONS, 2019–2022
TABLE 172 EXPANSIONS, 2019–2022
12.5 COMPANY EVALUATION QUADRANT
12.5.1 STARS
12.5.2 EMERGING LEADERS
12.5.3 PERVASIVE PLAYERS
12.5.4 PARTICIPANT COMPANIES
FIGURE 46 MARKET: COMPANY EVALUATION QUADRANT, 2021
12.6 COMPETITIVE BENCHMARKING
12.6.1 COMPANY AND PRODUCT FOOTPRINT
TABLE 173 COMPANY AND PRODUCT FOOTPRINT
TABLE 174 MARKET: APPLICATION FOOTPRINT
TABLE 175 MARKET: REGIONAL FOOTPRINT
12.7 WINNERS VS. TAIL-ENDERS
TABLE 176 WINNERS VS. TAIL-ENDERS
13 COMPANY PROFILES (Page No. - 215)
13.1 KEY PLAYERS
(Business overview, Recent developments, MnM view, Key strengths, Strategic choices made, and Weaknesses and threats)*
13.1.1 ROBERT BOSCH GMBH
TABLE 177 ROBERT BOSCH GMBH: BUSINESS OVERVIEW
FIGURE 47 ROBERT BOSCH GMBH: COMPANY SNAPSHOT
TABLE 178 ROBERT BOSCH GMBH: PRODUCT OFFERED
TABLE 179 ROBERT BOSCH: NEW PRODUCT LAUNCHES
TABLE 180 ROBERT BOSCH GMBH: DEALS
TABLE 181 ROBERT BOSCH GMBH: OTHER
13.1.2 NXP SEMICONDUCTORS
TABLE 182 NXP SEMICONDUCTORS: BUSINESS OVERVIEW
FIGURE 48 NXP SEMICONDUCTORS: COMPANY SNAPSHOT
TABLE 183 NXP SEMICONDUCTORS: PRODUCTS OFFERED
TABLE 184 NXP SEMICONDUCTORS: NEW PRODUCT LAUNCHES
TABLE 185 NXP SEMICONDUCTORS: DEALS
13.1.3 RENESAS ELECTRONICS
TABLE 186 RENESAS ELECTRONICS: BUSINESS OVERVIEW
FIGURE 49 RENESAS ELECTRONICS: COMPANY SNAPSHOT
TABLE 187 RENESAS ELECTRONICS: PRODUCTS OFFERED
TABLE 188 RENESAS ELECTRONICS: PRODUCT LAUNCHES
TABLE 189 RENESAS ELECTRONICS: DEALS
13.1.4 BLACKBERRY
TABLE 190 BLACKBERRY: BUSINESS OVERVIEW
FIGURE 50 BLACKBERRY: COMPANY SNAPSHOT
TABLE 191 BLACKBERRY: PRODUCTS OFFERED
TABLE 192 BLACKBERRY: PRODUCT LAUNCH
TABLE 193 BLACKBERRY: DEALS
13.1.5 NVIDIA
TABLE 194 NVIDIA: BUSINESS OVERVIEW
FIGURE 51 NVIDIA: COMPANY SNAPSHOT
TABLE 195 NVIDIA: PRODUCTS OFFERED
TABLE 196 NVIDIA: PRODUCT LAUNCH
TABLE 197 NVIDIA: DEALS
13.1.6 MICROSOFT CORPORATION
TABLE 198 MICROSOFT CORPORATION: BUSINESS OVERVIEW
FIGURE 52 MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 199 MICROSOFT CORPORATION: PRODUCTS OFFERED
TABLE 200 MICROSOFT CORPORATION: PRODUCT LAUNCH
TABLE 201 MICROSOFT CORPORATION: DEALS
13.1.7 AIRBIQUITY
TABLE 202 AIRBIQUITY: BUSINESS OVERVIEW
TABLE 203 AIRBIQUITY: PRODUCTS OFFERED
TABLE 204 AIRBIQUITY: PRODUCT LAUNCHES
TABLE 205 AIRBIQUITY: DEALS
TABLE 206 AIRBIQUITY: OTHERS
13.1.8 CONTINENTAL AG
TABLE 207 CONTINENTAL AG: BUSINESS OVERVIEW
FIGURE 53 CONTINENTAL AG: COMPANY SNAPSHOT
TABLE 208 CONTINENTAL AG: PRODUCTS OFFERED
TABLE 209 CONTINENTAL AG: PRODUCT LAUNCHES
TABLE 210 CONTINENTAL AG: DEALS
TABLE 211 CONTINENTAL AG: OTHERS
13.1.9 GREEN HILLS SOFTWARE
TABLE 212 GREEN HILLS SOFTWARE: BUSINESS OVERVIEW
TABLE 213 GREEN HILLS SOFTWARE: PRODUCTS OFFERED
TABLE 214 GREEN HILLS SOFTWARE: PRODUCT LAUNCH
TABLE 215 GREEN HILLS SOFTWARE: DEALS
13.1.10 APTIV PLC
TABLE 216 APTIV PLC: BUSINESS OVERVIEW
FIGURE 54 APTIV PLC: COMPANY SNAPSHOT
TABLE 217 APTIV PLC: PRODUCTS OFFERED
TABLE 218 APTIV PLC: PRODUCT LAUNCH
TABLE 219 APTIV PLC: DEALS
TABLE 220 APTIV PLC: OTHERS
13.1.11 INTEL CORPORATION
TABLE 221 INTEL CORPORATION: BUSINESS OVERVIEW
FIGURE 55 INTEL CORPORATION: COMPANY SNAPSHOT
TABLE 222 INTEL CORPORATION: PRODUCTS OFFERED
TABLE 223 INTEL CORPORATION: DEALS
13.2 OTHER KEY PLAYERS
13.2.1 PANASONIC CORPORATION
TABLE 224 PANASONIC CORPORATION: BUSINESS OVERVIEW
13.2.2 KPIT TECHNOLOGIES
TABLE 225 KPIT TECHNOLOGIES: BUSINESS OVERVIEW
13.2.3 GOOGLE
TABLE 226 GOOGLE: BUSINESS OVERVIEW
13.2.4 APPLE
TABLE 227 APPLE: BUSINESS OVERVIEW
13.2.5 AUTONET MOBILE
TABLE 228 AUTONET MOBILE: BUSINESS OVERVIEW
13.2.6 SIEMENS INDUSTRY SOFTWARE
TABLE 229 SIEMENS INDUSTRY SOFTWARE INC.: BUSINESS OVERVIEW
13.2.7 VECTOR INFORMATIK
TABLE 230 VECTOR INFORMATIK: BUSINESS OVERVIEW
13.2.8 RIGHTWARE
TABLE 231 RIGHTWARE: BUSINESS OVERVIEW
13.2.9 SIGMA SOFTWARE GROUP
TABLE 232 SIGMA SOFTWARE GROUP: BUSINESS OVERVIEW
13.2.10 DCX TECHNOLOGY
TABLE 233 DCX TECHNOLOGY: BUSINESS OVERVIEW
13.2.11 AIMOTIVE
TABLE 234 AIMOTIVE: BUSINESS OVERVIEW
13.2.12 SAFERIDE TECHNOLOGIES LTD
TABLE 235 SAFERIDE TECHNOLOGIES LTD.: BUSINESS OVERVIEW
*Details on Business overview, Recent developments, MnM view, Key strengths, Strategic choices made, and Weaknesses and threats might not be captured in case of unlisted companies.
14 APPENDIX (Page No. - 264)
14.1 KEY INSIGHTS FROM INDUSTRY EXPERTS
14.2 DISCUSSION GUIDE
14.3 KNOWLEDGESTORE: MARKETSANDMARKETS SUBSCRIPTION PORTAL
14.4 AVAILABLE CUSTOMIZATIONS
14.5 RELATED REPORTS
14.6 AUTHOR DETAILS
The research study involved extensive use of secondary sources, such as company annual reports/presentations, industry association publications, magazine articles, directories, technical handbooks, World Economic Outlook, trade websites, technical articles, and databases, to identify and collect information on the automotive software market. The primary sources—experts from related industries, automobile OEMs, and suppliers—have been interviewed to obtain and verify critical information, as well as assess the growth prospects and market estimations.
Secondary Research
The secondary sources referred to for this research study include corporate filings (such as annual reports, investor presentations, and financial statements), trade, business, and professional associations, whitepapers and automotive shielding-related journals, certified publications, articles from recognized authors, directories, and databases. Secondary data has been collected and analyzed to arrive at the overall market size, which is further validated by primary research.
Primary Research
Extensive primary research has been conducted after acquiring an understanding of the automotive software market scenario through secondary research. Several primary interviews have been conducted with market experts from both the demand- [(in terms of software applications) country-level government associations, and trade associations] and supply-side (software providers and system integrators) across major regions, namely, North America, Europe, Asia Pacific, Latin America, and the Rest of the World. Approximately 31% and 69% of primary interviews have been conducted from the demand and supply-side, respectively. Primary data has been collected through questionnaires, emails, and telephonic interviews. In the canvassing of primaries, we have strived to cover various departments within organizations, such as sales, operations, and marketing, to provide a holistic viewpoint in our report.
After interacting with industry experts, we have also 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.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
The bottom-up and top-down approaches have been used to estimate and validate the size of the automotive software industry. The automotive software market size, by vehicle type, in terms of value, is derived by identifying the value of software for each application for all vehicle types at the country level. The value of software is derived by multiplying the number of ECUs per application with vehicles equipped with each application and software license cost per application. The country-level market summed is to derive the regional market, and the regional market is summed up to derive the global automotive software industry.
The top-down methodology has been followed to estimate the automotive software market by the software layer. To derive the market of automotive software, by software layer, in terms of value, the cost break-up percentage of each layer is multiplied with the global value of the automotive software industry.
Data Triangulation
All percentage shares, splits, and breakdowns have been determined using secondary sources and verified by primary sources. All parameters that are said to affect the markets covered in this research study have been accounted for, viewed in extensive detail, and analyzed to obtain the final quantitative and qualitative data. This data has been consolidated, enhanced with detailed inputs and analysis from MarketsandMarkets, and presented in the report.
Report Objectives
- To segment and forecast the market size, by software layer [operating system, middleware, and application software]
- To segment and forecast the market size, by Application [ADAS & safety system, body control & comfort system, powertrain system, infotainment system, communication system, vehicle management & telematics, connected service, autonomous driving, HMI application, Biometrics, remote monitoring, and V2X System]
- To segment and forecast the market size, by EV application [charging management, battery management system, and V2G]
- To segment and forecast the market size, by vehicle type [Passenger car, LCV, and HCV]
- To segment and forecast the market size, by region [Asia Pacific, Europe, North America, Latin America, and RoW]
- To understand the market dynamics (drivers, restraints, opportunities, and challenges) of the automotive software market
- To analyze the market ranking of key players operating in the market
- To understand the dynamics of the market competitors and distinguish them into visionary leaders, innovators, emerging companies, and dynamic differentiators according to their product portfolio strength and business strategies
- To analyze recent developments, alliances, joint ventures, mergers & acquisitions, new product launches, and other activities carried out by key industry players in the market
- To analyze opportunities for stakeholders and the competitive landscape for market leaders
- To strategically profile key players and comprehensively analyze their market shares and core competencies
- To provide detailed information regarding the major factors influencing the market growth (drivers, challenges, restraints, and opportunities)
- To analyze opportunities for stakeholders and the competitive landscape for market leaders
- To strategically profile key players and comprehensively analyze their market shares and core competencies
- To analyze recent developments, alliances, joint ventures, product innovations, and mergers & acquisitions in the market
Available Customizations
With the given market data, MarketsandMarkets offers customizations in accordance to the company’s specific needs.
- Detailed analysis Automotive software market, by the electric vehicle at the regional level
-
Detailed analysis Automotive software market, by vehicle type at country level (for countries not covered in the report)
- PCV
- LCV
- HCV
- Company Information
- Profiling of Additional Market Players (Up to 3)
Generating Response ...
Growth opportunities and latent adjacency in Automotive Software Market
Great job! Hats off to your clarity, your article was very informative and it was very useful for developers.