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Car Electronics

PUBLISHER: MarketsandMarkets | PRODUCT CODE: 1350669

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PUBLISHER: MarketsandMarkets | PRODUCT CODE: 1350669

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

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Table of Contents

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

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

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

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

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

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

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

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

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

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

  • By company type: Tier 1 - 38%, Tier 2 - 28%, and Tier 3 - 34%
  • By designation: C-Level Executives - 40%, Managers - 30%, and Others - 30%
  • By region: North America - 35%, Europe - 20%, Asia Pacific - 35%, and RoW - 10%

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

Research Coverage

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

Reasons to buy this report:

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

The report provides insights on the following pointers:

  • Analysis of key drivers (enforcement of stringent vehicle safety regulations and continued development of connected vehicles), restraints (high initial investments and connected vehicle research costs), opportunities (emergence of ride-hailing and mobility-as-a-service platforms and introduction of 5g cellular connectivity projects), and challenges (data security and privacy concerns) influencing the growth of the software-defined vehicle market
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the software-defined vehicle market
  • Market Development: Comprehensive information about lucrative markets - the report analyses the software-defined vehicle market across varied regions
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the software-defined vehicle market
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and product/service offerings of leading players like Robert Bosch GmbH (Germany), Nvidia Corporation (US), APTIV (Ireland), Valeo (France), Marelli Holdings Co., Ltd. (Japan), among others in the software-defined vehicle market.
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Product Code: SE 8783

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKETS COVERED
    • FIGURE 1 SOFTWARE-DEFINED VEHICLE MARKET SEGMENTATION
    • 1.3.2 INCLUSIONS AND EXCLUSIONS
    • 1.3.3 REGIONAL SCOPE
    • 1.3.4 YEARS CONSIDERED
    • 1.3.5 CURRENCY CONSIDERED
  • 1.4 LIMITATIONS
  • 1.5 STAKEHOLDERS
  • 1.6 IMPACT OF RECESSION

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 2 SOFTWARE-DEFINED VEHICLE MARKET: RESEARCH DESIGN
    • 2.1.1 SECONDARY DATA
      • 2.1.1.1 Major secondary sources
      • 2.1.1.2 Key data from secondary sources
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Key data from primary sources
      • 2.1.2.2 Breakdown of primaries
    • 2.1.3 SECONDARY AND PRIMARY RESEARCH
      • 2.1.3.1 Key industry insights
  • 2.2 MARKET SIZE ESTIMATION METHODOLOGY
    • 2.2.1 BOTTOM-UP APPROACH
      • 2.2.1.1 Approach to capture market size using bottom-up analysis (demand side)
    • FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
    • 2.2.2 TOP-DOWN APPROACH
      • 2.2.2.1 Approach to capture market size using top-down analysis (supply side)
    • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
    • FIGURE 5 DATA TRIANGULATION
  • 2.4 RESEARCH ASSUMPTIONS
    • TABLE 1 SOFTWARE-DEFINED VEHICLE MARKET: RESEARCH ASSUMPTIONS
  • 2.5 APPROACH TO ANALYZE RECESSION IMPACT
  • 2.6 RESEARCH LIMITATIONS
  • 2.7 RISK ASSESSMENT
    • TABLE 2 SOFTWARE-DEFINED VEHICLE MARKET: RISK ASSESSMENT

3 EXECUTIVE SUMMARY

    • FIGURE 6 SOFTWARE SEGMENT TO EXHIBIT HIGHEST CAGR FROM 2023 TO 2028
    • FIGURE 7 ICE SEGMENT TO HOLD LARGEST SHARE OF SOFTWARE-DEFINED VEHICLE MARKET IN 2023
    • FIGURE 8 LEVEL 2 SEGMENT TO DOMINATE SOFTWARE-DEFINED VEHICLE MARKET DURING FORECAST PERIOD
    • FIGURE 9 ADAS/HAD SEGMENT TO DEPICT HIGHEST CAGR BETWEEN 2023 AND 2028
    • FIGURE 10 ASIA PACIFIC ACCOUNTED FOR LARGEST MARKET SHARE IN 2022

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SOFTWARE-DEFINED VEHICLE MARKET
    • FIGURE 11 RISING ADOPTION OF CONNECTED VEHICLE TECHNOLOGIES TO OFFER LUCRATIVE OPPORTUNITIES FOR PLAYERS IN SOFTWARE-DEFINED VEHICLE MARKET
  • 4.2 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE
    • FIGURE 12 BEV SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • 4.3 SOFTWARE-DEFINED VEHICLE MARKET IN ASIA PACIFIC, BY VEHICLE TYPE AND COUNTRY
    • FIGURE 13 ICE SEGMENT AND CHINA HELD LARGEST SHARES OF ASIA PACIFIC SOFTWARE-DEFINED VEHICLE MARKET IN 2022
  • 4.4 SOFTWARE-DEFINED VEHICLE MARKET, BY COUNTRY
    • FIGURE 14 INDIA TO REGISTER HIGHEST CAGR IN SOFTWARE-DEFINED VEHICLE MARKET FROM 2023 TO 2028

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • FIGURE 15 SOFTWARE-DEFINED VEHICLE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
    • 5.2.1 DRIVERS
    • FIGURE 16 SOFTWARE-DEFINED VEHICLE MARKET: DRIVERS AND THEIR IMPACT
      • 5.2.1.1 Enforcement of stringent vehicle safety regulations
      • 5.2.1.2 Continued development of connected vehicles
    • 5.2.2 RESTRAINTS
    • FIGURE 17 SOFTWARE-DEFINED VEHICLE MARKET: RESTRAINTS AND THEIR IMPACT
      • 5.2.2.1 High initial investments and connected vehicle research costs
    • 5.2.3 OPPORTUNITIES
    • FIGURE 18 SOFTWARE-DEFINED VEHICLE MARKET: OPPORTUNITIES AND THEIR IMPACT
      • 5.2.3.1 Emergence of ride-hailing and mobility-as-a-service platforms
      • 5.2.3.2 Increasing number of 5G cellular connectivity projects
    • 5.2.4 CHALLENGES
    • FIGURE 19 SOFTWARE-DEFINED VEHICLE MARKET: CHALLENGES AND THEIR IMPACT
      • 5.2.4.1 Data security and privacy concerns
  • 5.3 VALUE CHAIN ANALYSIS
    • FIGURE 20 SOFTWARE-DEFINED VEHICLE MARKET: VALUE CHAIN ANALYSIS
  • 5.4 ECOSYSTEM ANALYSIS
    • TABLE 3 SOFTWARE-DEFINED VEHICLE MARKET: COMPANIES AND THEIR ROLES IN ECOSYSTEM
  • 5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
    • FIGURE 21 REVENUE SHIFTS AND NEW REVENUE POCKETS FOR PLAYERS IN SOFTWARE-DEFINED VEHICLE MARKET
  • 5.6 PRICING ANALYSIS
    • TABLE 4 AVERAGE SELLING PRICE (ASP) OF SOFTWARE-DEFINED VEHICLE HARDWARE
    • 5.6.1 AVERAGE SELLING PRICE (ASP) OF AUTOMOTIVE SENSORS (ACCELEROMETERS) OFFERED BY TWO KEY PLAYERS
    • FIGURE 22 AVERAGE SELLING PRICE (ASP) OF AUTOMOTIVE SENSORS (ACCELEROMETERS) OFFERED BY TWO KEY PLAYERS
    • TABLE 5 AVERAGE SELLING PRICE (ASP) OF AUTOMOTIVE SENSORS (ACCELEROMETERS) OFFERED BY TWO KEY PLAYERS
    • 5.6.2 AVERAGE SELLING PRICE (ASP) OF CONNECTORS OFFERED BY TWO KEY PLAYERS
    • FIGURE 23 AVERAGE SELLING PRICE (ASP) OF CONNECTORS OFFERED BY TWO KEY PLAYERS
    • TABLE 6 AVERAGE SELLING PRICE (ASP) OF CONNECTORS OFFERED BY TWO KEY PLAYERS
  • 5.7 TECHNOLOGY ANALYSIS
    • 5.7.1 OPEN-SOURCE SOFTWARE (OSS)
    • 5.7.2 SWARM INTELLIGENCE
  • 5.8 CASE STUDY ANALYSIS
    • 5.8.1 INDIE SEMICONDUCTOR DEVELOPS ARM-BASED LED CONTROLLERS TO SUPPORT INTELLIGENT VEHICLE LIGHTING SYSTEMS
    • 5.8.2 CARDO SYSTEMS PARTNERS WITH HARMAN EMBEDDED AUDIO TO ENHANCE MOTORCYCLE COMMUNICATION SYSTEMS
    • 5.8.3 APTIV CREATES PREMIUM AUDIO SYSTEMS TO REVOLUTIONIZE IN-VEHICLE INFOTAINMENT EXPERIENCES
  • 5.9 PATENT ANALYSIS
    • FIGURE 24 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS
    • TABLE 7 TOP 20 PATENT OWNERS IN LAST 10 YEARS
    • FIGURE 25 NUMBER OF PATENTS GRANTED PER YEAR, 2012-2023
    • 5.9.1 LIST OF MAJOR PATENTS
    • TABLE 8 SOFTWARE-DEFINED VEHICLE MARKET: LIST OF MAJOR PATENTS
  • 5.10 TRADE ANALYSIS
    • FIGURE 26 IMPORT DATA FOR HS CODE 8708, BY COUNTRY, 2018-2022 (USD THOUSAND)
    • FIGURE 27 EXPORT DATA FOR HS CODE 8708, BY COUNTRY, 2018-2022 (USD THOUSAND)
  • 5.11 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.11.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • FIGURE 28 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS
    • TABLE 9 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS (%)
    • 5.11.2 BUYING CRITERIA
    • FIGURE 29 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
    • TABLE 10 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
  • 5.12 PORTER'S FIVE FORCES ANALYSIS
    • FIGURE 30 SOFTWARE-DEFINED VEHICLE MARKET: PORTER'S FIVE FORCES ANALYSIS
    • TABLE 11 SOFTWARE-DEFINED VEHICLE MARKET: PORTER'S FIVE FORCES ANALYSIS
    • 5.12.1 INTENSITY OF COMPETITIVE RIVALRY
    • 5.12.2 THREAT OF SUBSTITUTES
    • 5.12.3 BARGAINING POWER OF BUYERS
    • 5.12.4 BARGAINING POWER OF SUPPLIERS
    • 5.12.5 THREAT OF NEW ENTRANTS
  • 5.13 KEY CONFERENCES AND EVENTS, 2023-2024
    • TABLE 12 SOFTWARE-DEFINED VEHICLE MARKET: LIST OF KEY CONFERENCES AND EVENTS
  • 5.14 REGULATORY LANDSCAPE
    • TABLE 13 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 14 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 15 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 16 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.15 STANDARDS
    • TABLE 17 NORTH AMERICA: SAFETY STANDARDS FOR SOFTWARE-DEFINED VEHICLES
    • TABLE 18 EUROPE: SAFETY STANDARDS FOR SOFTWARE-DEFINED VEHICLES
    • TABLE 19 ASIA PACIFIC: SAFETY STANDARDS FOR SOFTWARE-DEFINED VEHICLES
    • TABLE 20 ROW: SAFETY STANDARDS FOR SOFTWARE-DEFINED VEHICLES

6 SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING

  • 6.1 INTRODUCTION
    • FIGURE 31 SOFTWARE SEGMENT TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 21 SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2019-2022 (USD BILLION)
    • TABLE 22 SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2023-2028 (USD BILLION)
  • 6.2 SOFTWARE
    • 6.2.1 INCREASING ADOPTION OF ADAS TO CONTRIBUTE TO SEGMENTAL GROWTH
    • TABLE 23 SOFTWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2019-2022 (USD BILLION)
    • TABLE 24 SOFTWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2023-2028 (USD BILLION)
    • TABLE 25 SOFTWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY TYPE, 2019-2022 (USD BILLION)
    • TABLE 26 SOFTWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY TYPE, 2023-2028 (USD BILLION)
    • 6.2.2 SOFTWARE, BY TYPE
      • 6.2.2.1 Automotive operating systems (OS)
        • 6.2.2.1.1 Rising integration of electronic systems into vehicles to fuel segmental growth
      • 6.2.2.2 Middleware & hypervisors
        • 6.2.2.2.1 Increasing deployment of cloud computing technologies to accelerate market growth
      • 6.2.2.3 Application software
        • 6.2.2.3.1 Growing adoption of SaaS solutions by automobile manufacturers to drive market
      • 6.2.2.4 Cybersecurity
        • 6.2.2.4.1 Surging cases of cyber-attacks on connected vehicles to boost segmental growth
  • 6.3 HARDWARE
    • 6.3.1 RAPID ADVANCEMENTS IN AUTOMOTIVE TECHNOLOGIES TO PROPEL MARKET
    • TABLE 27 HARDWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2019-2022 (USD BILLION)
    • TABLE 28 HARDWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2023-2028 (USD BILLION)
    • TABLE 29 HARDWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY TYPE, 2019-2022 (USD BILLION)
    • TABLE 30 HARDWARE: SOFTWARE-DEFINED VEHICLE MARKET, BY TYPE, 2023-2028 (USD BILLION)
    • 6.3.2 HARDWARE, BY TYPE
      • 6.3.2.1 ECU/DCU
        • 6.3.2.1.1 Rising need to manage complexity of software-driven systems to fuel segmental growth
      • 6.3.2.2 Sensors/Actuators
        • 6.3.2.2.1 Increasing production of LCVs and HCVs to contribute to market growth
      • 6.3.2.3 Power electronics
        • 6.3.2.3.1 Growing demand for electric vehicles to propel market
      • 6.3.2.4 Others
  • 6.4 SERVICES
    • 6.4.1 SURGING DEMAND FOR IN-VEHICLE CONNECTIVITY SERVICES TO DRIVE MARKET
    • TABLE 31 SERVICES: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2019-2022 (USD BILLION)
    • TABLE 32 SERVICES: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2023-2028 (USD BILLION)
    • TABLE 33 SERVICES: SOFTWARE-DEFINED VEHICLE MARKET, BY TYPE, 2019-2022 (USD BILLION)
    • TABLE 34 SERVICES: SOFTWARE-DEFINED VEHICLE MARKET, BY TYPE, 2023-2028 (USD BILLION)
    • 6.4.2 SERVICES, BY TYPE
      • 6.4.2.1 Integration services
        • 6.4.2.1.1 Need for seamless integration of hardware and software components into vehicles to boost market growth
      • 6.4.2.2 Connected services
        • 6.4.2.2.1 Rise in in-vehicle connectivity trends to support segmental growth

7 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE

  • 7.1 INTRODUCTION
    • FIGURE 32 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE
    • FIGURE 33 ICE SEGMENT TO DOMINATE SOFTWARE-DEFINED VEHICLE MARKET DURING FORECAST PERIOD
    • TABLE 35 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2019-2022 (USD BILLION)
    • TABLE 36 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2023-2028 (USD BILLION)
  • 7.2 ICE
    • 7.2.1 REQUIREMENT FOR VEHICLE FUEL EFFICIENCY IMPROVEMENT TO CONTRIBUTE TO SEGMENTAL GROWTH
    • TABLE 37 ICE: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2019-2022 (USD BILLION)
    • TABLE 38 ICE: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2023-2028 (USD BILLION)
    • TABLE 39 ICE: SOFTWARE-DEFINED VEHICLE MARKET, BY REGION, 2019-2022 (USD BILLION)
    • TABLE 40 ICE: SOFTWARE-DEFINED VEHICLE MARKET, BY REGION, 2023-2028 (USD BILLION)
  • 7.3 BEV
    • 7.3.1 ADOPTION OF SUSTAINABLE MOBILITY SOLUTIONS TO ACCELERATE MARKET GROWTH
    • TABLE 41 BEV: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2019-2022 (USD BILLION)
    • TABLE 42 BEV: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2023-2028 (USD BILLION)
    • TABLE 43 BEV: SOFTWARE-DEFINED VEHICLE MARKET, BY REGION, 2019-2022 (USD BILLION)
    • TABLE 44 BEV: SOFTWARE-DEFINED VEHICLE MARKET, BY REGION, 2023-2028 (USD BILLION)
  • 7.4 HEV/PHEV
    • 7.4.1 IMPLEMENTATION OF TAX REBATES ON ELECTRIC VEHICLES TO PROPEL MARKET
    • TABLE 45 HEV/PHEV: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2019-2022 (USD BILLION)
    • TABLE 46 HEV/PHEV: SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2023-2028 (USD BILLION)
    • TABLE 47 HEV/PHEV: SOFTWARE-DEFINED VEHICLE MARKET, BY REGION, 2019-2022 (USD BILLION)
    • TABLE 48 HEV/PHEV: SOFTWARE-DEFINED VEHICLE MARKET, BY REGION, 2023-2028 (USD BILLION)

8 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE AUTONOMY

  • 8.1 INTRODUCTION
    • FIGURE 34 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE AUTONOMY
    • FIGURE 35 LEVEL 2 SEGMENT TO DOMINATE SOFTWARE-DEFINED VEHICLE MARKET DURING FORECAST PERIOD
    • TABLE 49 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE AUTONOMY, 2019-2022 (USD BILLION)
    • TABLE 50 SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE AUTONOMY, 2023-2028 (USD BILLION)
  • 8.2 LEVEL 0
    • 8.2.1 SAFETY FEATURES OF LEVEL 0 AUTOMATION VEHICLES TO CONTRIBUTE TO MARKET GROWTH
  • 8.3 LEVEL 1
    • 8.3.1 USE OF LEVEL 1 AUTOMATION VEHICLES TO OFFER OPTIMUM LEVEL OF CONTROL AND MANEUVERABILITY TO FUEL SEGMENTAL GROWTH
  • 8.4 LEVEL 2
    • 8.4.1 DEMAND FOR ADAS-EQUIPPED LEVEL 2 AUTOMATION VEHICLES TO PROPEL MARKET
  • 8.5 LEVEL 3
    • 8.5.1 DEVELOPMENT OF LEVEL 3 TRAFFIC JAM ASSISTANCE TECHNOLOGY TO ACCELERATE SEGMENTAL GROWTH
  • 8.6 LEVEL 4
    • 8.6.1 EMPHASIS ON PRODUCTION OF LEVEL 4 EVS AND SHUTTLES TO DRIVE MARKET
  • 8.7 LEVEL 5
    • 8.7.1 ADOPTION OF COLLABORATION STRATEGIES TO TRANSITION TO EVS TO BOOST SEGMENTAL GROWTH

9 SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION

  • 9.1 INTRODUCTION
    • FIGURE 36 SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION
    • FIGURE 37 ADAS/HAD SEGMENT TO DEPICT HIGHEST CAGR IN SOFTWARE-DEFINED VEHICLE MARKET FROM 2023 TO 2028
    • TABLE 51 SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2019-2022 (USD BILLION)
    • TABLE 52 SOFTWARE-DEFINED VEHICLE MARKET, BY APPLICATION, 2023-2028 (USD BILLION)
  • 9.2 POWERTRAIN & CHASSIS
    • 9.2.1 DEMAND FOR FUEL-EFFICIENT VEHICLES WITH IMPROVED ENGINE PERFORMANCE TO DRIVE SEGMENTAL GROWTH
    • TABLE 53 POWERTRAIN & CHASSIS: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2019-2022 (USD BILLION)
    • TABLE 54 POWERTRAIN & CHASSIS: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2023-2028 (USD BILLION)
    • TABLE 55 POWERTRAIN & CHASSIS: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2019-2022 (USD BILLION)
    • TABLE 56 POWERTRAIN & CHASSIS: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2023-2028 (USD BILLION)
  • 9.3 BODY & ENERGY
    • 9.3.1 ADOPTION OF SOFTWARE-DRIVEN TECHNOLOGIES IN DESIGN AND MANAGEMENT OF VEHICLE BODIES TO PROPEL MARKET
    • TABLE 57 BODY & ENERGY: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2019-2022 (USD BILLION)
    • TABLE 58 BODY & ENERGY: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2023-2028 (USD BILLION)
    • TABLE 59 BODY & ENERGY: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2019-2022 (USD BILLION)
    • TABLE 60 BODY & ENERGY: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2023-2028 (USD BILLION)
  • 9.4 ADAS/HAD
    • 9.4.1 RELIANCE ON INTELLIGENT SYSTEMS TO IMPROVE VEHICLE SAFETY TO FUEL SEGMENTAL GROWTH
    • TABLE 61 ADAS/HAD: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2019-2022 (USD BILLION)
    • TABLE 62 ADAS/HAD: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2023-2028 (USD BILLION)
    • TABLE 63 ADAS/HAD: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2019-2022 (USD BILLION)
    • TABLE 64 ADAS/HAD: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2023-2028 (USD BILLION)
  • 9.5 INFOTAINMENT
    • 9.5.1 PREFERENCE FOR VEHICLES WITH ENTERTAINMENT AND SAFETY FEATURES TO ACCELERATE SEGMENTAL GROWTH
    • TABLE 65 INFOTAINMENT: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2019-2022 (USD BILLION)
    • TABLE 66 INFOTAINMENT: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2023-2028 (USD BILLION)
    • TABLE 67 INFOTAINMENT: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2019-2022 (USD BILLION)
    • TABLE 68 INFOTAINMENT: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2023-2028 (USD BILLION)
  • 9.6 CONNECTIVITY & SECURITY
    • 9.6.1 DEPLOYMENT OF OVER-THE-AIR (OTA) SOFTWARE IN VEHICLES TO CONTRIBUTE TO SEGMENTAL GROWTH
    • TABLE 69 CONNECTIVITY & SECURITY: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2019-2022 (USD BILLION)
    • TABLE 70 CONNECTIVITY & SECURITY: SOFTWARE-DEFINED VEHICLE MARKET, BY OFFERING, 2023-2028 (USD BILLION)
    • TABLE 71 CONNECTIVITY & SECURITY: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2019-2022 (USD BILLION)
    • TABLE 72 CONNECTIVITY & SECURITY: SOFTWARE-DEFINED VEHICLE MARKET, BY VEHICLE TYPE, 2023-2028 (USD BILLION)

10 SOFTWARE-DEFINED VEHICLE MARKET, BY REGION

  • 10.1 INTRODUCTION
    • 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

  • 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

  • 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

  • 13.1 DISCUSSION GUIDE
  • 13.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 13.3 CUSTOMIZATION OPTIONS
  • 13.4 RELATED REPORTS
  • 13.5 AUTHOR DETAILS
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