Software-defined Vehicle Market

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

Report Code: SE 8783 Sep, 2023, by marketsandmarkets.com

[195 Pages Report] According to MarketsandMarkets, the software-defined vehicle market is projected to grow from USD 270.9 billion in 2023 to USD 419.7 billion by 2028, registering a CAGR of 9.1% during the forecast period. The enforcement of stringent vehicle safety regulations and continued development of connected vehicles are expected to propel the software-defined vehicle market in the next five years. However, high initial investments and connected vehicle research costs is likely to pose challenges for industry players.

The objective of the report is to define, describe, and forecast the software-defined vehicle market based on offering, vehicle type, vehicle autonomy, application, and region.

Software-defined Vehicle Market

Software-defined Vehicle Market

Software-defined Vehicle Market Forecast to 2028

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Software-defined vehicle market dynamics

Driver: Enforcement of stringent vehicle safety regulations

Safety features have become a requirement for automotive consumers worldwide. The growing concern about vehicle safety and government regulations drives the software-defined vehicle market. As vehicles become increasingly complex and connected, safety features that can be updated over the air (OTA) are becoming more necessary.

SDVs offer this flexibility as they can be updated with new software and features without going to a dealership. This is crucial for safety because automakers can quickly deploy fixes for software vulnerabilities or add new safety features. Government regulations also boost the adoption of SDVs. For example, in the US, the National Highway Traffic Safety Administration (NHTSA) requires automakers to equip all new vehicles with automatic emergency braking (AEB) by 2023.

Restraint: High initial investments and connected vehicle research costs

Integrating complex software systems into vehicles requires seamless coordination between components and subsystems. Ensuring interoperability and reliability across different software modules can be challenging. As vehicles become more complex and reliant on software systems, integrating various components and ensuring seamless collaboration between different software modules can present several challenges, including compatibility issues, real-time responsiveness, data exchange and security, and many more. Moreover, high initial investment costs linked with intelligence, expensive research costs, and so on are barriers to market growth.

Opportunities: Emergence of ride-hailing and mobility-as-a-service platforms

The emergence of ride-hailing, car-sharing, and mobility-as-a-service (MaaS) platforms presents significant opportunities for the software-defined vehicle market. These new mobility models rely heavily on advanced software systems to optimize fleet management, enhance user experience, and enable efficient transportation services. Connected autonomous car technology is quickly evolving. Several companies focus on this technology, with Tesla leading the way. Autonomous self-driving vehicles are expected to create an opportunity for ride-sharing and mobility services.

Challenges: Data Security and Privacy Concerns

The shift towards a software-defined vehicle is rapidly accelerating but comes with challenges. The software complexity growth has surpassed all predictions, and safety and cybersecurity have become major concerns. Despite the significant advancement in connected car technology, cybersecurity remains a major hurdle. Connected cars consist of hardware, software, mobile apps, and Bluetooth, and these components are vulnerable to cyberattacks. There have been several instances where cybersecurity breaches have caused problems. For example, in 2021, luxury car brands Volkswagen (Germany) and Audi AG (Germany) were hit by a data breach that exposed contact details and, in some cases, personal information like driver’s license numbers in the US and Canada.

Market Map/Ecosystem

Software-defined Vehicle Market by Ecosystem

Software-defined vehicle Market: Key Trends

The prominent players in the software-defined vehicle market are Robert Bosch GmbH (Germany), Nvidia Corporation (US), APTIV (Ireland), Valeo (France), Marelli Holdings Co., Ltd. (Japan), Continental AG (Germany), Volkswagen Group (Germany), HARMAN International (US), BlackBerry Limited (US), among others. These companies boast mixing trends with a comprehensive product portfolio and strong geographic footprint.

BEV is expected to grow at the highest CARG in the software-defined vehicle market during the forecast period.

The BEV is expected to account for a significant share and grow at the highest CAGR during the forecast period. Several companies, such as Tesla (US), Volkswagen (Germany), General Motors (US), and Aptiv (Ireland), are leading the way in developing and producing BEVs with various software. For instance, General Motors (US) announced Ultifi, an end-to-end software platform designed to unlock new vehicle experiences and connect customers’ digital experiences. In addition, governments provide incentives for purchasing BEVs, such as tax breaks and rebates, allowing the development of cost-effective BEVs for consumers.

Software is expected to grow at the highest CARG in the software-defined vehicle market in 2023.

The software segment is expected to account for a significant share and grow at the highest CAGR during the forecast period. The software segment is divided into four subsegments: automotive operating systems, middleware & hypervisors, application software, and cybersecurity. This software plays a crucial role in shaping the behavior, capabilities, and user experience of modern vehicles. Major players in the software market include Aptiv, ZF Friedrichshafen AG, and Intel Corporation. The continued rise of cockpit domain controllers, changing in-vehicle infotainment, and growing ADAS (autonomous driver assistant system) feature adoption highlight the importance of software products and solutions.

The software-defined vehicle market is expected to grow at the highest CAR in India from the Asia Pacific region during the forecast period.

The Asia Pacific region continues to be a significant market for software-defined vehicles. This region is a key market as it is home to some of the major industry players, such as Marelli Holdings Co., Ltd. (Japan). The e-mobility industry in India is developing rapidly with the support of the government and manufacturers such as Mahindra and Mahindra (India), Tata (India), and others. The government of India is supporting the development of electric infrastructure with various plans. For instance, the National Electric Mobility Mission Plan (NEMMP)-2020 aims to invest INR 140 billion in the next eight years for the development of electric infrastructure. Government incentives subsidies and initiatives from OEMs would help to reduce the cost of electric vehicles, which in turn would drive the demand for software-defined vehicles in the Indian market.

Software-defined Vehicle Market by Region

Software-defined Vehicle Market by Region

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Key market players

Major vendors in the software-defined vehicle companies include Robert Bosch GmbH (Germany), Nvidia Corporation (US), APTIV (Ireland), Valeo (France), Marelli Holdings Co., Ltd. (Japan), Continental AG (Germany), Volkswagen Group (Germany), Tesla (US), HARMAN International (US), BlackBerry Limited (US), among others.

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Scope of the Report

Report Metric

Details

Market Size Available for Years

2019–2028

Base Year

2022

Forecast Period

2023–2028

Units

Value (USD Million/USD Billion)

Segments Covered

Offering, Vehicle Type, Vehicle Autonomy, Application, and Region

Regions Covered

North America, Europe, Asia Pacific, and RoW

Companies Covered

Robert Bosch GmbH (Germany), Nvidia Corporation (US), APTIV (Ireland), Valeo (France), Marelli Holdings Co., Ltd. (Japan), Continental AG (Germany), Volkswagen Group (Germany), Tesla (US), HARMAN International (US), BlackBerry Limited (US), among others
A total of 25 players are profiled in the report.

Software-defined Vehicle Market Highlights

This report categorizes the software-defined vehicle market based on offering, vehicle type, vehicle autonomy, application, and region.

Segment

Subsegment

By Offering

  • Hardware
  • Software
  • Services

By Vehicle Type

  • ICE
  • BEV
  • HEV/PHEV

By Vehicle Autonomy

  • Level 0
  • Level 1
  • Level 2
  • Level 3
  • Level 4
  • Level 5

By Application

  • Powertrain & Chassis
  • ADAS/HAD
  • Body and Energy
  • Infotainment
  • Connectivity & Security

By Region

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • Rest of Asia Pacific
  • RoW
    • Middle East & Africa
    • South America

Recent Developments

  • In May 2023, Robert Bosch GmbH (Germany) and Plus (US) are collaborating to make software-defined commercial trucks a reality. Through a new technology agreement, Plus is offering its PlusDrive solution with the integrated steering system from Bosch featuring hardware and software to deliver driver assistance and partially automated features to commercial vehicles.
  • In March 2023, Continental AG's (Germany) new electrics/electronics architecture which uses Infineon’s high-end Aurix TC4 microcontroller paves the way for speedier development of software-defined vehicles; RRAM technology, used in chip cards, now applied in the automotive sector.

Frequently asked questions

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 27)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
    1.3 STUDY SCOPE 
           1.3.1 MARKETS COVERED
                    FIGURE 1 SOFTWARE-DEFINED VEHICLE MARKET SEGMENTATION
           1.3.2 INCLUSIONS AND EXCLUSIONS
           1.3.3 REGIONAL SCOPE
           1.3.4 YEARS CONSIDERED
           1.3.5 CURRENCY CONSIDERED
    1.4 LIMITATIONS 
    1.5 STAKEHOLDERS 
    1.6 IMPACT OF RECESSION 
 
2 RESEARCH METHODOLOGY (Page No. - 31)
    2.1 RESEARCH DATA 
           FIGURE 2 SOFTWARE-DEFINED VEHICLE MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
                    2.1.1.1 Major secondary sources
                    2.1.1.2 Key data from secondary sources
           2.1.2 PRIMARY DATA
                    2.1.2.1 Key data from primary sources
                    2.1.2.2 Breakdown of primaries
           2.1.3 SECONDARY AND PRIMARY RESEARCH
                    2.1.3.1 Key industry insights
    2.2 MARKET SIZE ESTIMATION METHODOLOGY 
           2.2.1 BOTTOM-UP APPROACH
                    2.2.1.1 Approach to capture market size using bottom-up analysis (demand side)
                               FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
           2.2.2 TOP-DOWN APPROACH
                    2.2.2.1 Approach to capture market size using top-down analysis (supply side)
                               FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
    2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 
           FIGURE 5 DATA TRIANGULATION
    2.4 RESEARCH ASSUMPTIONS 
           TABLE 1 SOFTWARE-DEFINED VEHICLE MARKET: RESEARCH ASSUMPTIONS
    2.5 APPROACH TO ANALYZE RECESSION IMPACT 
    2.6 RESEARCH LIMITATIONS 
    2.7 RISK ASSESSMENT 
           TABLE 2 SOFTWARE-DEFINED VEHICLE MARKET: RISK ASSESSMENT
 
3 EXECUTIVE SUMMARY (Page No. - 42)
    FIGURE 6 SOFTWARE SEGMENT TO EXHIBIT HIGHEST CAGR FROM 2023 TO 2028
    FIGURE 7 ICE SEGMENT TO HOLD LARGEST SHARE OF SOFTWARE-DEFINED VEHICLE MARKET IN 2023
    FIGURE 8 LEVEL 2 SEGMENT TO DOMINATE SOFTWARE-DEFINED VEHICLE MARKET DURING FORECAST PERIOD
    FIGURE 9 ADAS/HAD SEGMENT TO DEPICT HIGHEST CAGR BETWEEN 2023 AND 2028
    FIGURE 10 ASIA PACIFIC ACCOUNTED FOR LARGEST MARKET SHARE IN 2022
 
4 PREMIUM INSIGHTS (Page No. - 45)
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SOFTWARE-DEFINED VEHICLE MARKET 
           FIGURE 11 RISING ADOPTION OF CONNECTED VEHICLE TECHNOLOGIES TO OFFER LUCRATIVE OPPORTUNITIES FOR PLAYERS IN SOFTWARE-DEFINED VEHICLE MARKET
    4.2 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE 
           FIGURE 12 BEV SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    4.3 SOFTWARE-DEFINED VEHICLE MARKET IN ASIA PACIFIC, BY VEHICLE TYPE AND COUNTRY 
           FIGURE 13 ICE SEGMENT AND CHINA HELD LARGEST SHARES OF ASIA PACIFIC SOFTWARE-DEFINED VEHICLE MARKET IN 2022
    4.4 SOFTWARE-DEFINED VEHICLE MARKET, BY COUNTRY 
           FIGURE 14 INDIA TO REGISTER HIGHEST CAGR IN SOFTWARE-DEFINED VEHICLE MARKET FROM 2023 TO 2028
 
5 MARKET OVERVIEW (Page No. - 47)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 15 SOFTWARE-DEFINED VEHICLE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
           5.2.1 DRIVERS
                    FIGURE 16 SOFTWARE-DEFINED VEHICLE MARKET: DRIVERS AND THEIR IMPACT
                    5.2.1.1 Enforcement of stringent vehicle safety regulations
                    5.2.1.2 Continued development of connected vehicles
           5.2.2 RESTRAINTS
                    FIGURE 17 SOFTWARE-DEFINED VEHICLE MARKET: RESTRAINTS AND THEIR IMPACT
                    5.2.2.1 High initial investments and connected vehicle research costs
           5.2.3 OPPORTUNITIES
                    FIGURE 18 SOFTWARE-DEFINED VEHICLE MARKET: OPPORTUNITIES AND THEIR IMPACT
                    5.2.3.1 Emergence of ride-hailing and mobility-as-a-service platforms
                    5.2.3.2 Increasing number of 5G cellular connectivity projects
           5.2.4 CHALLENGES
                    FIGURE 19 SOFTWARE-DEFINED VEHICLE MARKET: CHALLENGES AND THEIR IMPACT
                    5.2.4.1 Data security and privacy concerns
    5.3 VALUE CHAIN ANALYSIS 
           FIGURE 20 SOFTWARE-DEFINED VEHICLE MARKET: VALUE CHAIN ANALYSIS
    5.4 ECOSYSTEM ANALYSIS 
           TABLE 3 SOFTWARE-DEFINED VEHICLE MARKET: COMPANIES AND THEIR ROLES IN ECOSYSTEM
    5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 
           FIGURE 21 REVENUE SHIFTS AND NEW REVENUE POCKETS FOR PLAYERS IN SOFTWARE-DEFINED VEHICLE MARKET
    5.6 PRICING ANALYSIS 
           TABLE 4 AVERAGE SELLING PRICE (ASP) OF SOFTWARE-DEFINED VEHICLE HARDWARE
           5.6.1 AVERAGE SELLING PRICE (ASP) OF AUTOMOTIVE SENSORS (ACCELEROMETERS) OFFERED BY TWO KEY PLAYERS
                    FIGURE 22 AVERAGE SELLING PRICE (ASP) OF AUTOMOTIVE SENSORS (ACCELEROMETERS) OFFERED BY TWO KEY PLAYERS
                    TABLE 5 AVERAGE SELLING PRICE (ASP) OF AUTOMOTIVE SENSORS (ACCELEROMETERS) OFFERED BY TWO KEY PLAYERS
           5.6.2 AVERAGE SELLING PRICE (ASP) OF CONNECTORS OFFERED BY TWO KEY PLAYERS
                    FIGURE 23 AVERAGE SELLING PRICE (ASP) OF CONNECTORS OFFERED BY TWO KEY PLAYERS
                    TABLE 6 AVERAGE SELLING PRICE (ASP) OF CONNECTORS OFFERED BY TWO KEY PLAYERS
    5.7 TECHNOLOGY ANALYSIS 
           5.7.1 OPEN-SOURCE SOFTWARE (OSS)
           5.7.2 SWARM INTELLIGENCE
    5.8 CASE STUDY ANALYSIS 
           5.8.1 INDIE SEMICONDUCTOR DEVELOPS ARM-BASED LED CONTROLLERS TO SUPPORT INTELLIGENT VEHICLE LIGHTING SYSTEMS
           5.8.2 CARDO SYSTEMS PARTNERS WITH HARMAN EMBEDDED AUDIO TO ENHANCE MOTORCYCLE COMMUNICATION SYSTEMS
           5.8.3 APTIV CREATES PREMIUM AUDIO SYSTEMS TO REVOLUTIONIZE IN-VEHICLE INFOTAINMENT EXPERIENCES
    5.9 PATENT ANALYSIS 
           FIGURE 24 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS
           TABLE 7 TOP 20 PATENT OWNERS IN LAST 10 YEARS
           FIGURE 25 NUMBER OF PATENTS GRANTED PER YEAR, 2012–2023
           5.9.1 LIST OF MAJOR PATENTS
                    TABLE 8 SOFTWARE-DEFINED VEHICLE MARKET: LIST OF MAJOR PATENTS
    5.10 TRADE ANALYSIS 
           FIGURE 26 IMPORT DATA FOR HS CODE 8708, BY COUNTRY, 2018–2022 (USD THOUSAND)
           FIGURE 27 EXPORT DATA FOR HS CODE 8708, BY COUNTRY, 2018–2022 (USD THOUSAND)
    5.11 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.11.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 28 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS
                    TABLE 9 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS (%)
           5.11.2 BUYING CRITERIA
                    FIGURE 29 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
                    TABLE 10 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
    5.12 PORTER’S FIVE FORCES ANALYSIS 
           FIGURE 30 SOFTWARE-DEFINED VEHICLE MARKET: PORTER’S FIVE FORCES ANALYSIS
           TABLE 11 SOFTWARE-DEFINED VEHICLE MARKET: PORTER’S FIVE FORCES ANALYSIS
           5.12.1 INTENSITY OF COMPETITIVE RIVALRY
           5.12.2 THREAT OF SUBSTITUTES
           5.12.3 BARGAINING POWER OF BUYERS
           5.12.4 BARGAINING POWER OF SUPPLIERS
           5.12.5 THREAT OF NEW ENTRANTS
    5.13 KEY CONFERENCES AND EVENTS, 2023–2024 
           TABLE 12 SOFTWARE-DEFINED VEHICLE MARKET: LIST OF KEY CONFERENCES AND EVENTS
    5.14 REGULATORY LANDSCAPE 
           TABLE 13 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           TABLE 14 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           TABLE 15 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           TABLE 16 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    5.15 STANDARDS 
           TABLE 17 NORTH AMERICA: SAFETY STANDARDS FOR SOFTWARE-DEFINED VEHICLES
           TABLE 18 EUROPE: SAFETY STANDARDS FOR SOFTWARE-DEFINED VEHICLES
           TABLE 19 ASIA PACIFIC: SAFETY STANDARDS FOR SOFTWARE-DEFINED VEHICLES
           TABLE 20 ROW: SAFETY STANDARDS FOR SOFTWARE-DEFINED VEHICLES
 
6 SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING (Page No. - 72)
    6.1 INTRODUCTION 
           FIGURE 31 SOFTWARE SEGMENT TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
           TABLE 21 SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2019–2022 (USD BILLION)
           TABLE 22 SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2023–2028 (USD BILLION)
    6.2 SOFTWARE 
           6.2.1 INCREASING ADOPTION OF ADAS TO CONTRIBUTE TO SEGMENTAL GROWTH
                    TABLE 23 SOFTWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2019–2022 (USD BILLION)
                    TABLE 24 SOFTWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2023–2028 (USD BILLION)
                    TABLE 25 SOFTWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY TYPE, 2019–2022 (USD BILLION)
                    TABLE 26 SOFTWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY TYPE, 2023–2028 (USD BILLION)
           6.2.2 SOFTWARE, BY TYPE
                    6.2.2.1 Automotive operating systems (OS)
                               6.2.2.1.1 Rising integration of electronic systems into vehicles to fuel segmental growth
                    6.2.2.2 Middleware & hypervisors
                               6.2.2.2.1 Increasing deployment of cloud computing technologies to accelerate market growth
                    6.2.2.3 Application software
                               6.2.2.3.1 Growing adoption of SaaS solutions by automobile manufacturers to drive market
                    6.2.2.4 Cybersecurity
                               6.2.2.4.1 Surging cases of cyber-attacks on connected vehicles to boost segmental growth
    6.3 HARDWARE 
           6.3.1 RAPID ADVANCEMENTS IN AUTOMOTIVE TECHNOLOGIES TO PROPEL MARKET
                    TABLE 27 HARDWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2019–2022 (USD BILLION)
                    TABLE 28 HARDWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2023–2028 (USD BILLION)
                    TABLE 29 HARDWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY TYPE, 2019–2022 (USD BILLION)
                    TABLE 30 HARDWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY TYPE, 2023–2028 (USD BILLION)
           6.3.2 HARDWARE, BY TYPE
                    6.3.2.1 ECU/DCU
                               6.3.2.1.1 Rising need to manage complexity of software-driven systems to fuel segmental growth
                    6.3.2.2 Sensors/Actuators
                               6.3.2.2.1 Increasing production of LCVs and HCVs to contribute to market growth
                    6.3.2.3 Power electronics
                               6.3.2.3.1 Growing demand for electric vehicles to propel market
                    6.3.2.4 Others
    6.4 SERVICES 
           6.4.1 SURGING DEMAND FOR IN-VEHICLE CONNECTIVITY SERVICES TO DRIVE MARKET
                    TABLE 31 SERVICES: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2019–2022 (USD BILLION)
                    TABLE 32 SERVICES: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2023–2028 (USD BILLION)
                    TABLE 33 SERVICES: SOFTWARE-DEFINED VEHICLE MARKET, BY TYPE, 2019–2022 (USD BILLION)
                    TABLE 34 SERVICES: SOFTWARE-DEFINED VEHICLE MARKET, BY TYPE, 2023–2028 (USD BILLION)
           6.4.2 SERVICES, BY TYPE
                    6.4.2.1 Integration services
                               6.4.2.1.1 Need for seamless integration of hardware and software components into vehicles to boost market growth
                    6.4.2.2 Connected services
                               6.4.2.2.1 Rise in in-vehicle connectivity trends to support segmental growth
 
7 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE (Page No. - 82)
    7.1 INTRODUCTION 
           FIGURE 32 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE
           FIGURE 33 ICE SEGMENT TO DOMINATE SOFTWARE-DEFINED VEHICLE MARKET DURING FORECAST PERIOD
           TABLE 35 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2019–2022 (USD BILLION)
           TABLE 36 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2023–2028 (USD BILLION)
    7.2 ICE 
           7.2.1 REQUIREMENT FOR VEHICLE FUEL EFFICIENCY IMPROVEMENT TO CONTRIBUTE TO SEGMENTAL GROWTH
                    TABLE 37 ICE: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2019–2022 (USD BILLION)
                    TABLE 38 ICE: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2023–2028 (USD BILLION)
                    TABLE 39 ICE: SOFTWARE-DEFINED VEHICLE MARKET, BY REGION, 2019–2022 (USD BILLION)
                    TABLE 40 ICE: SOFTWARE-DEFINED VEHICLE MARKET, BY REGION, 2023–2028 (USD BILLION)
    7.3 BEV 
           7.3.1 ADOPTION OF SUSTAINABLE MOBILITY SOLUTIONS TO ACCELERATE MARKET GROWTH
                    TABLE 41 BEV: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2019–2022 (USD BILLION)
                    TABLE 42 BEV: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2023–2028 (USD BILLION)
                    TABLE 43 BEV: SOFTWARE-DEFINED VEHICLE MARKET, BY REGION, 2019–2022 (USD BILLION)
                    TABLE 44 BEV: SOFTWARE-DEFINED VEHICLE MARKET, BY REGION, 2023–2028 (USD BILLION)
    7.4 HEV/PHEV 
           7.4.1 IMPLEMENTATION OF TAX REBATES ON ELECTRIC VEHICLES TO PROPEL MARKET
                    TABLE 45 HEV/PHEV: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2019–2022 (USD BILLION)
                    TABLE 46 HEV/PHEV: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2023–2028 (USD BILLION)
                    TABLE 47 HEV/PHEV: SOFTWARE-DEFINED VEHICLE MARKET, BY REGION, 2019–2022 (USD BILLION)
                    TABLE 48 HEV/PHEV: SOFTWARE-DEFINED VEHICLE MARKET, BY REGION, 2023–2028 (USD BILLION)
 
8 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE AUTONOMY (Page No. - 90)
    8.1 INTRODUCTION 
           FIGURE 34 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE AUTONOMY
           FIGURE 35 LEVEL 2 SEGMENT TO DOMINATE SOFTWARE-DEFINED VEHICLE MARKET DURING FORECAST PERIOD
           TABLE 49 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE AUTONOMY, 2019–2022 (USD BILLION)
           TABLE 50 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE AUTONOMY, 2023–2028 (USD BILLION)
    8.2 LEVEL 0 
           8.2.1 SAFETY FEATURES OF LEVEL 0 AUTOMATION VEHICLES TO CONTRIBUTE TO MARKET GROWTH
    8.3 LEVEL 1 
           8.3.1 USE OF LEVEL 1 AUTOMATION VEHICLES TO OFFER OPTIMUM LEVEL OF CONTROL AND MANEUVERABILITY TO FUEL SEGMENTAL GROWTH
    8.4 LEVEL 2 
           8.4.1 DEMAND FOR ADAS-EQUIPPED LEVEL 2 AUTOMATION VEHICLES TO PROPEL MARKET
    8.5 LEVEL 3 
           8.5.1 DEVELOPMENT OF LEVEL 3 TRAFFIC JAM ASSISTANCE TECHNOLOGY TO ACCELERATE SEGMENTAL GROWTH
    8.6 LEVEL 4 
           8.6.1 EMPHASIS ON PRODUCTION OF LEVEL 4 EVS AND SHUTTLES TO DRIVE MARKET
    8.7 LEVEL 5 
           8.7.1 ADOPTION OF COLLABORATION STRATEGIES TO TRANSITION TO EVS TO BOOST SEGMENTAL GROWTH
 
9 SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION (Page No. - 95)
    9.1 INTRODUCTION 
           FIGURE 36 SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION
           FIGURE 37 ADAS/HAD SEGMENT TO DEPICT HIGHEST CAGR IN SOFTWARE-DEFINED VEHICLE MARKET FROM 2023 TO 2028
           TABLE 51 SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2019–2022 (USD BILLION)
           TABLE 52 SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2023–2028 (USD BILLION)
    9.2 POWERTRAIN & CHASSIS 
           9.2.1 DEMAND FOR FUEL-EFFICIENT VEHICLES WITH IMPROVED ENGINE PERFORMANCE TO DRIVE SEGMENTAL GROWTH
                    TABLE 53 POWERTRAIN & CHASSIS: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2019–2022 (USD BILLION)
                    TABLE 54 POWERTRAIN & CHASSIS: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2023–2028 (USD BILLION)
                    TABLE 55 POWERTRAIN & CHASSIS: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2019–2022 (USD BILLION)
                    TABLE 56 POWERTRAIN & CHASSIS: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2023–2028 (USD BILLION)
    9.3 BODY & ENERGY 
           9.3.1 ADOPTION OF SOFTWARE-DRIVEN TECHNOLOGIES IN DESIGN AND MANAGEMENT OF VEHICLE BODIES TO PROPEL MARKET
                    TABLE 57 BODY & ENERGY: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2019–2022 (USD BILLION)
                    TABLE 58 BODY & ENERGY: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2023–2028 (USD BILLION)
                    TABLE 59 BODY & ENERGY: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2019–2022 (USD BILLION)
                    TABLE 60 BODY & ENERGY: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2023–2028 (USD BILLION)
    9.4 ADAS/HAD 
           9.4.1 RELIANCE ON INTELLIGENT SYSTEMS TO IMPROVE VEHICLE SAFETY TO FUEL SEGMENTAL GROWTH
                    TABLE 61 ADAS/HAD: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2019–2022 (USD BILLION)
                    TABLE 62 ADAS/HAD: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2023–2028 (USD BILLION)
                    TABLE 63 ADAS/HAD: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2019–2022 (USD BILLION)
                    TABLE 64 ADAS/HAD: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2023–2028 (USD BILLION)
    9.5 INFOTAINMENT 
           9.5.1 PREFERENCE FOR VEHICLES WITH ENTERTAINMENT AND SAFETY FEATURES TO ACCELERATE SEGMENTAL GROWTH
                    TABLE 65 INFOTAINMENT: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2019–2022 (USD BILLION)
                    TABLE 66 INFOTAINMENT: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2023–2028 (USD BILLION)
                    TABLE 67 INFOTAINMENT: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2019–2022 (USD BILLION)
                    TABLE 68 INFOTAINMENT: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2023–2028 (USD BILLION)
    9.6 CONNECTIVITY & SECURITY 
           9.6.1 DEPLOYMENT OF OVER-THE-AIR (OTA) SOFTWARE IN VEHICLES TO CONTRIBUTE TO SEGMENTAL GROWTH
                    TABLE 69 CONNECTIVITY & SECURITY: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2019–2022 (USD BILLION)
                    TABLE 70 CONNECTIVITY & SECURITY: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2023–2028 (USD BILLION)
                    TABLE 71 CONNECTIVITY & SECURITY: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2019–2022 (USD BILLION)
                    TABLE 72 CONNECTIVITY & SECURITY: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2023–2028 (USD BILLION)
 
10 SOFTWARE-DEFINED VEHICLE MARKET, BY REGION (Page No. - 105)
     10.1 INTRODUCTION 
             FIGURE 38 SOFTWARE-DEFINED VEHICLE MARKET, BY COUNTRY
             FIGURE 39 ASIA PACIFIC TO REGISTER HIGHEST CAGR IN SOFTWARE-DEFINED VEHICLE MARKET DURING FORECAST PERIOD
             TABLE 73 SOFTWARE-DEFINED VEHICLE MARKET, BY REGION, 2019–2022 (USD BILLION)
             TABLE 74 SOFTWARE-DEFINED VEHICLE MARKET, BY REGION, 2023–2028 (USD BILLION)
     10.2 NORTH AMERICA 
             FIGURE 40 NORTH AMERICA: SOFTWARE-DEFINED VEHICLE MARKET SNAPSHOT
             TABLE 75 NORTH AMERICA: SOFTWARE-DEFINED VEHICLE MARKET, BY COUNTRY, 2019–2022 (USD BILLION)
             TABLE 76 NORTH AMERICA: SOFTWARE-DEFINED VEHICLE MARKET, BY COUNTRY, 2023–2028 (USD BILLION)
             TABLE 77 NORTH AMERICA: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2019–2022 (USD BILLION)
             TABLE 78 NORTH AMERICA: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2023–2028 (USD BILLION)
             10.2.1 US
                        10.2.1.1 Rising investments in autonomous driving systems to drive market
             10.2.2 CANADA
                        10.2.2.1 Increasing OTA updates by automakers to contribute to market growth
             10.2.3 MEXICO
                        10.2.3.1 Surging rollouts of 5G networks to fuel market growth
             10.2.4 IMPACT OF RECESSION ON MARKET IN NORTH AMERICA
     10.3 EUROPE 
             FIGURE 41 EUROPE: SOFTWARE-DEFINED VEHICLE MARKET SNAPSHOT
             TABLE 79 EUROPE: SOFTWARE-DEFINED VEHICLE MARKET, BY COUNTRY, 2019–2022 (USD BILLION)
             TABLE 80 EUROPE: SOFTWARE-DEFINED VEHICLE MARKET, BY COUNTRY, 2023–2028 (USD BILLION)
             TABLE 81 EUROPE: SOFTWARE-DEFINED VEHICLE MARKET, VEHICLE TYPE, 2019–2022 (USD BILLION)
             TABLE 82 EUROPE: SOFTWARE-DEFINED VEHICLE MARKET, VEHICLE TYPE, 2023–2028 (USD BILLION)
             10.3.1 UK
                        10.3.1.1 Implementation of zero-emission targets to boost adoption of software-defined vehicles
             10.3.2 GERMANY
                        10.3.2.1 Introduction of bills to roll out self-driving cars to propel market
             10.3.3 FRANCE
                        10.3.3.1 Integration of AR safety applications into electric trucks to accelerate market growth
             10.3.4 REST OF EUROPE
             10.3.5 IMPACT OF RECESSION ON MARKET IN EUROPE
     10.4 ASIA PACIFIC 
             FIGURE 42 ASIA PACIFIC: SOFTWARE-DEFINED VEHICLE MARKET SNAPSHOT
             TABLE 83 ASIA PACIFIC: SOFTWARE-DEFINED VEHICLE MARKET, BY COUNTRY, 2019–2022 (USD BILLION)
             TABLE 84 ASIA PACIFIC: SOFTWARE-DEFINED VEHICLE MARKET, BY COUNTRY, 2023–2028 (USD BILLION)
             TABLE 85 ASIA PACIFIC: SOFTWARE-DEFINED VEHICLE MARKET, VEHICLE TYPE, 2019–2022 (USD BILLION)
             TABLE 86 ASIA PACIFIC: SOFTWARE-DEFINED VEHICLE MARKET, VEHICLE TYPE, 2023–2028 (USD BILLION)
             10.4.1 CHINA
                        10.4.1.1 Issuance of government subsidies on electric cars to propel market
             10.4.2 JAPAN
                        10.4.2.1 Focus on increasing level 4 autonomous driving to boost market growth
             10.4.3 INDIA
                        10.4.3.1 Development of electric vehicle infrastructure to contribute to market growth
             10.4.4 REST OF ASIA PACIFIC
             10.4.5 IMPACT OF RECESSION ON MARKET IN ASIA PACIFIC
     10.5 ROW 
             FIGURE 43 ROW: SOFTWARE-DEFINED VEHICLE MARKET SNAPSHOT
             TABLE 87 ROW: SOFTWARE-DEFINED VEHICLE MARKET, BY COUNTRY, 2019–2022 (USD BILLION)
             TABLE 88 ROW: SOFTWARE-DEFINED VEHICLE MARKET, BY COUNTRY, 2023–2028 (USD BILLION)
             TABLE 89 ROW: SOFTWARE-DEFINED VEHICLE MARKET, VEHICLE TYPE, 2019–2022 (USD BILLION)
             TABLE 90 ROW: SOFTWARE-DEFINED VEHICLE MARKET, VEHICLE TYPE, 2023–2028 (USD BILLION)
             10.5.1 MIDDLE EAST & AFRICA
                        10.5.1.1 High penetration of IoT technology to boost adoption
             10.5.2 SOUTH AMERICA
                        10.5.2.1 Increasing number of vehicle manufacturing units to propel market
 
11 COMPETITIVE LANDSCAPE (Page No. - 122)
     11.1 OVERVIEW 
     11.2 STRATEGIES ADOPTED BY KEY PLAYERS, 2020–2023 
             TABLE 91 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS, 2020–2023
             11.2.1 PRODUCT PORTFOLIO
             11.2.2 REGIONAL FOCUS
             11.2.3 ORGANIC/INORGANIC GROWTH STRATEGIES
     11.3 MARKET SHARE ANALYSIS, 2022 
             FIGURE 44 SOFTWARE-DEFINED VEHICLE MARKET SHARE ANALYSIS, 2022
             TABLE 92 SOFTWARE-DEFINED VEHICLE MARKET: DEGREE OF COMPETITION
     11.4 REVENUE ANALYSIS OF 5 KEY PLAYERS, 2022 
             FIGURE 45 REVENUE ANALYSIS OF 5 KEY PLAYERS, 2022
     11.5 EVALUATION MATRIX OF KEY PLAYERS, 2022 
             11.5.1 STARS
             11.5.2 PERVASIVE PLAYERS
             11.5.3 EMERGING LEADERS
             11.5.4 PARTICIPANTS
                        FIGURE 46 SOFTWARE-DEFINED VEHICLE MARKET: EVALUATION MATRIX OF KEY PLAYERS, 2022
     11.6 EVALUATION MATRIX OF START-UPS/SMALL AND MEDIUM-SIZED ENTERPRISES (SMES), 2022 
             11.6.1 PROGRESSIVE COMPANIES
             11.6.2 RESPONSIVE COMPANIES
             11.6.3 DYNAMIC COMPANIES
             11.6.4 STARTING BLOCKS
                        FIGURE 47 SOFTWARE-DEFINED VEHICLE MARKET: EVALUATION MATRIX OF START-UPS/SMES, 2022
     11.7 COMPETITIVE BENCHMARKING 
             TABLE 93 OVERALL COMPANY FOOTPRINT
             TABLE 94 COMPANY FOOTPRINT, BY OFFERING
             TABLE 95 COMPANY FOOTPRINT, BY APPLICATION
             TABLE 96 COMPANY FOOTPRINT, BY REGION
             TABLE 97 SOFTWARE-DEFINED VEHICLE MARKET: LIST OF KEY START-UPS/SMES
             TABLE 98 SOFTWARE-DEFINED VEHICLE MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES
     11.8 COMPETITIVE SCENARIOS AND TRENDS 
             11.8.1 PRODUCT LAUNCHES
                        TABLE 99 SOFTWARE-DEFINED VEHICLE MARKET: PRODUCT LAUNCHES, JANUARY 2020– SEPTEMBER 2023
             11.8.2 DEALS
                        TABLE 100 SOFTWARE-DEFINED VEHICLE MARKET: DEALS, JANUARY 2019–SEPTEMBER 2023
             11.8.3 OTHERS
                        TABLE 101 SOFTWARE-DEFINED VEHICLE MARKET: OTHERS, JANUARY 2019–SEPTEMBER 2023
 
12 COMPANY PROFILES (Page No. - 137)
     12.1 KEY PLAYERS 
(Business overview, Products/Services/Solutions offered, Recent developments, Deals, MnM view, Key strengths/Right to win, Strategic choices made, and Weaknesses/Competitive threats)*  
             12.1.1 ROBERT BOSCH GMBH
                        TABLE 102 ROBERT BOSCH GMBH: COMPANY OVERVIEW
                        FIGURE 48 ROBERT BOSCH GMBH: COMPANY SNAPSHOT
                        TABLE 103 ROBERT BOSCH GMBH: PRODUCTS/SERVICES/SOLUTIONS OFFERED
                        TABLE 104 ROBERT BOSCH GMBH: DEALS
             12.1.2 CONTINENTAL AG
                        TABLE 105 CONTINENTAL AG: COMPANY OVERVIEW
                        FIGURE 49 CONTINENTAL AG: COMPANY SNAPSHOT
                        TABLE 106 CONTINENTAL AG: PRODUCTS/SERVICES/SOLUTIONS OFFERED
                        TABLE 107 CONTINENTAL AG: DEALS
             12.1.3 VALEO
                        TABLE 108 VALEO: COMPANY OVERVIEW
                        FIGURE 50 VALEO: COMPANY SNAPSHOT
                        TABLE 109 VALEO: PRODUCTS/SERVICES/SOLUTIONS OFFERED
                        TABLE 110 VALEO: DEALS
             12.1.4 APTIV
                        TABLE 111 APTIV: COMPANY OVERVIEW
                        FIGURE 51 APTIV: COMPANY SNAPSHOT
                        TABLE 112 APTIV: PRODUCTS/SERVICES/SOLUTIONS OFFERED
                        TABLE 113 APTIV: PRODUCT LAUNCHES
                        TABLE 114 APTIV: DEALS
             12.1.5 MARELLI HOLDINGS CO., LTD.
                        TABLE 115 MARELLI HOLDINGS CO., LTD.: COMPANY OVERVIEW
                        FIGURE 52 MARELLI HOLDINGS CO., LTD.: COMPANY SNAPSHOT
                        TABLE 116 MARELLI HOLDINGS CO., LTD.: PRODUCTS/SERVICES/SOLUTIONS OFFERED
                        TABLE 117 MARELLI HOLDINGS CO., LTD.: DEALS
                        TABLE 118 MARELLI HOLDINGS CO., LTD.: OTHERS
             12.1.6 TESLA
                        TABLE 119 TESLA: COMPANY OVERVIEW
                        FIGURE 53 TESLA: COMPANY SNAPSHOT
                        TABLE 120 TESLA: PRODUCTS/SERVICES/SOLUTIONS OFFERED
                        TABLE 121 TESLA: OTHERS
             12.1.7 NVIDIA CORPORATION
                        TABLE 122 NVIDIA CORPORATION: COMPANY OVERVIEW
                        FIGURE 54 NVIDIA CORPORATION: COMPANY SNAPSHOT
                        TABLE 123 NVIDIA CORPORATION: PRODUCTS/SERVICES/SOLUTIONS OFFERED
                        TABLE 124 NVIDIA CORPORATION: PRODUCT LAUNCHES
                        TABLE 125 NVIDIA: DEALS
             12.1.8 VOLKSWAGEN
                        TABLE 126 VOLKSWAGEN: COMPANY OVERVIEW
                        FIGURE 55 VOLKSWAGEN: COMPANY SNAPSHOT
                        TABLE 127 VOLKSWAGEN: PRODUCTS/SERVICES/SOLUTIONS OFFERED
                        TABLE 128 VOLKSWAGEN: DEALS
             12.1.9 HARMAN INTERNATIONAL
                        TABLE 129 HARMAN INTERNATIONAL: COMPANY OVERVIEW
                        TABLE 130 HARMAN INTERNATIONAL: PRODUCTS/SERVICES/SOLUTIONS OFFERED
                        TABLE 131 HARMAN INTERNATIONAL: PRODUCT LAUNCHES
                        TABLE 132 HARMAN INTERNATIONAL: DEALS
             12.1.10 BLACKBERRY LIMITED
                        TABLE 133 BLACKBERRY LIMITED: COMPANY OVERVIEW
                        FIGURE 56 BLACKBERRY LIMITED: COMPANY SNAPSHOT
                        TABLE 134 BLACKBERRY LIMITED: PRODUCTS/SERVICES/SOLUTIONS OFFERED
                        TABLE 135 BLACKBERRY LIMITED: DEALS
     12.2 OTHER PLAYERS 
             12.2.1 ZF FRIEDRICHSHAFEN AG
             12.2.2 LEAR CORP.
             12.2.3 SIBROS TECHNOLOGIES INC.
             12.2.4 SIEMENS
             12.2.5 NXP SEMICONDUCTORS
             12.2.6 ANALOG DEVICES, INC.
             12.2.7 INTEL CORPORATION
             12.2.8 RENESAS ELECTRONICS CORPORATION
             12.2.9 QUALCOMM TECHNOLOGIES, INC.
             12.2.10 ARM LIMITED
             12.2.11 RENAULT GROUP
             12.2.12 GENERAL MOTORS
             12.2.13 AMAZON WEB SERVICES, INC.
             12.2.14 KPIT
             12.2.15 VECTOR INFORMATIK GMBH
             12.2.16 KIA CORPORATION
             12.2.17 TOYOTA MOTOR CORPORATION
*Details on Business overview, Products/Services/Solutions offered, Recent developments, Deals, MnM view, Key strengths/Right to win, Strategic choices made, and Weaknesses/Competitive threats might not be captured in case of unlisted companies.  
 
13 APPENDIX (Page No. - 188)
     13.1 DISCUSSION GUIDE 
     13.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     13.3 CUSTOMIZATION OPTIONS 
     13.4 RELATED REPORTS 
     13.5 AUTHOR DETAILS 
 

 

The research process for this study included systematic gathering, recording, and analysis of data about customers and companies operating in the software-defined vehicle market. This process involved the extensive use of secondary sources, directories, and databases (Factiva, Oanda, and OneSource) for identifying and collecting valuable information for the comprehensive, technical, market-oriented, and commercial study of the software-defined vehicle market. In-depth interviews were conducted with primary respondents, including experts from core and related industries and preferred manufacturers, to obtain and verify critical qualitative and quantitative information as well as to assess growth prospects. Key players in the software-defined vehicle market were identified through secondary research, and their market rankings were determined through primary and secondary research. This research included studying annual reports of top players and interviewing key industry experts such as CEOs, directors, and marketing executives.

Secondary Research

In the secondary research process, various secondary sources were referred to for identifying and collecting information important for this study. Secondary sources included corporate filings, such as annual reports, investor presentations, and financial statements; trade, business, and professional associations; white papers; software-defined vehicle products-related journals; certified publications; articles by recognized authors; directories; and databases.

Secondary research was conducted to obtain key information about the industry supply chain, market value chain, key players, market classification and segmentation as per industry trends to the bottom-most level, geographic markets, and key developments from both market- and technology-oriented perspectives. Data from secondary research was collected and analyzed to determine the overall market size, which was further validated by primary research.

Primary Research

In the primary research process, various primary sources from the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. Primary sources from the supply side included industry experts such as CEOs, VPs, marketing directors, technology & innovation directors, and key executives from major companies in the software-defined vehicle market.

After going through market engineering (which includes calculations for market statistics, market breakdown, market size estimations, market forecasting, and data triangulation), extensive primary research was conducted to gather information and verify and validate the critical numbers obtained. Primary research was conducted to identify segmentation types, industry trends, key players, competitive landscape, and key market dynamics such as drivers, restraints, opportunities, and challenges, along with the key strategies adopted by players operating in the market.

Software-defined Vehicle Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market size Estimation

In the complete market engineering process, both top-down and bottom-up approaches were used, along with several data triangulation methods, to estimate and forecast the size of the market and its segments and subsegments listed in the report. Extensive qualitative and quantitative analyses were carried out on the complete market engineering process to list the key information/insights pertaining to the software-defined vehicle market.

The key players in the market were identified through secondary research, and their rankings in the respective regions were determined through primary and secondary research. This entire procedure involved the study of the annual and financial reports of top players, as well as interviews with industry experts such as chief executive officers, vice presidents, directors, and marketing executives for quantitative and qualitative key insights. All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources. All parameters that affect the markets covered in this research study were accounted for, viewed in extensive detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data. This data was consolidated and enhanced with detailed inputs and analysis from MarketsandMarkets and presented in this report.

Software-defined vehicle market: Bottom-up Approach

Software-defined Vehicle Market Size, and Bottom-up Approach

Software-defined vehicle market: Top-down Approach

Software-defined Vehicle Market Size, and Top-down Approach

Data Triangulation

After arriving at the overall size of the software-defined vehicle market from the market size estimation process explained above, the total market was split into several segments and subsegments. Where applicable, the market breakdown and data triangulation procedures were employed to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments. The data was triangulated by studying various factors and trends from both the demand and supply sides. Along with this, the market size was validated using top-down and bottom-up approaches.

Market Definition

A software-defined vehicle (SDV) is a concept in the automotive industry that represents a significant shift in the way vehicles are designed, built, and operated. In an SDV, much of the vehicle’s functionality and behavior is defined and controlled by software rather than being hardwired or mechanically controlled. This software-centric approach enables greater flexibility, adaptability, and upgradability in vehicles.

Software-defined vehicles are the next evolution of the automotive industry. They are the foundation of many other advancements, including self-driving and connected cars. With increased automation and electrification and a growing focus on user experience, the automotive industry witnessed major disruption. A high-end car has more than 100 billion lines of code, and new features and business opportunities continue to be powered by software upgradability.

Key Stakeholders

  • ADAS system manufacturers
  • Raw material suppliers for system manufacturers
  • Sensor manufacturers
  • Semiconductor manufacturers
  • Research institutes and government organizations
  • Automotive electronic system traders, distributors, and suppliers
  • Automobile manufacturers
  • Automotive sensor manufacturers
  • Automotive software manufacturers and providers
  • Autonomous vehicle manufacturers
  • ICE/EV/HEV component manufacturers
  • ICE/EV/HEV distributors and retailers
  • ICE/EV/HEV manufacturers
  • Automobile industry and regional automobile associations

Report Objectives

  • To define, describe, and forecast the software-defined vehicle market based on offering, vehicle type, vehicle autonomy, application, and region
  • To forecast the sizes of various segments with respect to four major regions—
    North America, Europe, Asia Pacific, and RoW (Rest of the World)
  • To provide a detailed analysis of the software-defined vehicle supply chain
  • To analyze the impact of the recession on the software-defined vehicle market
  • To strategically analyze the micro markets with respect to individual growth trends and prospects and their contributions to the overall market
  • To analyze competitive developments, such as expansions, agreements, partnerships, acquisitions, product developments, and research and development (R&D), in the software-defined vehicle market
  • To analyze the opportunities for market players and provide details of the competitive landscape of the market
  • To benchmark the market players using the proprietary company evaluation matrix framework, which analyzes the market players on various parameters within the broad categories of business strategy excellence and strength of product portfolios
  • To strategically profile the key players and comprehensively analyze their market positions in terms of ranking and core competencies, along with a detailed competitive landscape of the market.

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Report Code
SE 8783
Published ON
Sep, 2023
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