세계의 SDV(Software-Defined Vehicles) 시장 규모 조사 및 예측 : 애플리케이션별, 차종별, 추진 유형별, 자율성 레벨별, 지역별 분석(2023-2030년)

Global Software-Defined Vehicles Market is valued at approximately USD 34.2 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 19% over the forecast period 2023-2030. A Software Defined Vehicle is a vehicle that relies heavily on software to enable its functionalities and operations. This progressive transformation of automobiles involves shifting from a predominantly hardware-oriented product to a software-focused device on wheels, leading to the emergence and expansion of this specific category. The increasing adoption of software-defined vehicles is primarily attributed to their semi-autonomous and autonomous capabilities, particularly in scenarios such as monotonous highway driving, navigating through traffic jams, and challenging parking situations. These vehicles incorporate features such as highway pilot, traffic jam assist, and parking assist, where the vehicle's computer assumes situational control, partially or entirely. The growing demand for higher levels of autonomy in vehicles is a significant driver for the expansion of the software-defined vehicles market.

The market demand for software-defined vehicles is primarily fueled by their ability to significantly mitigate accidents resulting from human error. These vehicles are equipped with advanced safety features such as anti-collision systems and driver assistance technology, which further enhance their safety capabilities. Based on the findings from the U.S. General Services Administration's Office of Motor Vehicle Management, human error is responsible for 98% of car crashes. Additionally, car crashes take place approximately every 5 seconds. Based on the statistics provided by the Centers for Disease Control and Prevention, global roadways witness approximately 1.35 million fatalities annually. This translates to nearly 3,700 deaths every day, resulting from various types of accidents involving cars, buses, motorcycles, bicycles, trucks, or pedestrians. Additionally, the software-defined vehicles market is propelled by several significant factors, including the escalating demand for connected and autonomous vehicles, the increasing emphasis on enhanced safety features, and the growing need for vehicles that are both environmentally friendly and efficient. However, the cost of software-defined vehicles is typically higher compared to traditional cars, which can limit their accessibility to certain consumers. Software-defined vehicles must have a robust infrastructure that may not be universally accessible in all regions, these are the two factors that may stifle market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Software-Defined Vehicles Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022. The growth of the region can be attributed to the concentration of prominent automotive manufacturers and technology companies, coupled with the rising market demand for electric and autonomous vehicles. This convergence of factors is anticipated to drive the expansion and development of the region. Europe is expected to grow significantly during the forecast period, as this region serves as a thriving hub for innovation due to its robust automotive industry and the presence of numerous prominent automotive manufacturers. Its strong foundation in the automotive sector positions it as a center for pioneering advancements in the industry.

Major market player included in this report are:

• Tesla, Inc.
• Toyota Motor Corporation
• Volkswagen Ag
• General Motors Company
• BYD Company Limited
• Hyundai Motor Company
• Ford Motor Company
• Honda Motor Co., Ltd.
• Mercedes Benz Group AG
• BMW Group

Recent Developments in the Market:

• In October 2022, Hyundai Motor Group (South Korea) revealed its strategic entry into the Software-Defined vehicle market, taking a significant leap forward by introducing Software-Defined vehicles in both gasoline and electric variants. The company aims to have 20 million connected vehicles equipped with its internally developed Integrated Modular Architecture (IMA) and Connected Car Operating System (CCOS) on the road by 2025. This ambitious plan demonstrates Hyundai Motor Group's commitment to advanced vehicle technology and connectivity in the automotive industry.
• In October 2022, NVIDIA and Qualcomm have recently unveiled their latest System on Chip (SoC) portfolios for Software-Defined vehicles, namely Drive Thor and Ride Flex SoC. These new offerings are positioned as the "industry's first super-compute class SoC portfolio" and are aimed at capturing a significant share of the semiconductor segment within the Software-Defined vehicle market. With their advanced capabilities, these SoCs are designed to power the next generation of intelligent and connected vehicles.

Global Software-Defined Vehicles Market Report Scope:

• Historical Data: 2020 - 2021
• Base Year for Estimatio: 2022
• Forecast period: 2023-2030
• Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
• Segments Covered: Application, Vehicle Type, Propulsion Type, Level of Autonomy, Region
• Regional Scope: North America; Europe; Asia Pacific; Latin America; Middle East & Africa
• Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Application:

• ADAS & Safety
• Connected Vehicle Services
• Autonomous Driving
• Body Control & Comfort System
• Powertrain System

By Vehicle Type:

• Passenger Car
• Commercial Vehicles

By Propulsion Type:

• ICE Vehicles
• Electric Vehicles

By Level Of Autonomy:

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

By Region:

• North America
• U.S.
• Canada
• Europe
• UK
• Germany
• France
• Spain
• Italy
• ROE
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• RoAPAC
• Latin America
• Brazil
• Mexico
• Middle East & Africa
• Saudi Arabia
• South Africa
• Rest of Middle East & Africa

Table of Contents

Chapter 1. Executive Summary

• 1.1. Market Snapshot
• 1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
  • 1.2.1. Software-Defined Vehicles Market, by Region, 2020-2030 (USD Billion)
  • 1.2.2. Software-Defined Vehicles Market, by Application, 2020-2030 (USD Billion)
  • 1.2.3. Software-Defined Vehicles Market, by Vehicle Type, 2020-2030 (USD Billion)
  • 1.2.4. Software-Defined Vehicles Market, by Propulsion Type, 2020-2030 (USD Billion)
  • 1.2.5. Software-Defined Vehicles Market, by Level of Autonomy, 2020-2030 (USD Billion)
• 1.3. Key Trends
• 1.4. Estimation Methodology
• 1.5. Research Assumption

Chapter 2. Global Software-Defined Vehicles Market Definition and Scope

• 2.1. Objective of the Study
• 2.2. Market Definition & Scope
  • 2.2.1. Industry Evolution
  • 2.2.2. Scope of the Study
• 2.3. Years Considered for the Study
• 2.4. Currency Conversion Rates

Chapter 3. Global Software-Defined Vehicles Market Dynamics

• 3.1. Software-Defined Vehicles Market Impact Analysis (2020-2030)
  • 3.1.1. Market Drivers
    • 3.1.1.1. Increasing semi-autonomous and autonomous capabilities
    • 3.1.1.2. Growing demand for higher levels of autonomy in vehicles
  • 3.1.2. Market Challenges
    • 3.1.2.1. High Cost of Software-Defined Vehicles
    • 3.1.2.2. Lack Of Infrastructural Facilities
  • 3.1.3. Market Opportunities
    • 3.1.3.1. Growing need for environmentally friendly and efficient vehicles
    • 3.1.3.2. Escalating demand for connected and autonomous vehicles
    • 3.1.3.3. Increasing emphasis on enhanced safety features

Chapter 4. Global Software-Defined Vehicles Market Industry Analysis

• 4.1. Porter's 5 Force Model
  • 4.1.1. Bargaining Power of Suppliers
  • 4.1.2. Bargaining Power of Buyers
  • 4.1.3. Threat of New Entrants
  • 4.1.4. Threat of Substitutes
  • 4.1.5. Competitive Rivalry
• 4.2. Porter's 5 Force Impact Analysis
• 4.3. PEST Analysis
  • 4.3.1. Political
  • 4.3.2. Economical
  • 4.3.3. Social
  • 4.3.4. Technological
  • 4.3.5. Environmental
  • 4.3.6. Legal
• 4.4. Top investment opportunity
• 4.5. Top winning strategies
• 4.6. COVID-19 Impact Analysis
• 4.7. Disruptive Trends
• 4.8. Industry Expert Perspective
• 4.9. Analyst Recommendation & Conclusion

Chapter 5. Global Software-Defined Vehicles Market, by Application

• 5.1. Market Snapshot
• 5.2. Global Software-Defined Vehicles Market by Application, Performance - Potential Analysis
• 5.3. Global Software-Defined Vehicles Market Estimates & Forecasts by Application 2020-2030 (USD Billion)
• 5.4. Software-Defined Vehicles Market, Sub Segment Analysis
  • 5.4.1. ADAS & Safety
  • 5.4.2. Connected Vehicle Services
  • 5.4.3. Autonomous Driving
  • 5.4.4. Body Control & Comfort System
  • 5.4.5. Powertrain System

Chapter 6. Global Software-Defined Vehicles Market, by Vehicle Type

• 6.1. Market Snapshot
• 6.2. Global Software-Defined Vehicles Market by Vehicle Type, Performance - Potential Analysis
• 6.3. Global Software-Defined Vehicles Market Estimates & Forecasts by Vehicle Type 2020-2030 (USD Billion)
• 6.4. Software-Defined Vehicles Market, Sub Segment Analysis
  • 6.4.1. Passenger Car
  • 6.4.2. Commercial Vehicles

Chapter 7. Global Software-Defined Vehicles Market, by Propulsion Type

• 7.1. Market Snapshot
• 7.2. Global Software-Defined Vehicles Market by Propulsion Type, Performance - Potential Analysis
• 7.3. Global Software-Defined Vehicles Market Estimates & Forecasts by Propulsion Type 2020-2030 (USD Billion)
• 7.4. Software-Defined Vehicles Market, Sub Segment Analysis
  • 7.4.1. ICE Vehicles
  • 7.4.2. Electric Vehicles

Chapter 8. Global Software-Defined Vehicles Market, by Level of Autonomy

• 8.1. Market Snapshot
• 8.2. Global Software-Defined Vehicles Market by Level of Autonomy, Performance - Potential Analysis
• 8.3. Global Software-Defined Vehicles Market Estimates & Forecasts by Level of Autonomy 2020-2030 (USD Billion)
• 8.4. Software-Defined Vehicles Market, Sub Segment Analysis
  • 8.4.1. Level 1
  • 8.4.2. Level 2
  • 8.4.3. Level 3
  • 8.4.4. Level 4
  • 8.4.5. Level 5

Chapter 9. Global Software-Defined Vehicles Market, Regional Analysis

• 9.1. Top Leading Countries
• 9.2. Top Emerging Countries
• 9.3. Software-Defined Vehicles Market, Regional Market Snapshot
• 9.4. North America Software-Defined Vehicles Market
  • 9.4.1. U.S. Software-Defined Vehicles Market
    • 9.4.1.1. Application breakdown estimates & forecasts, 2020-2030
    • 9.4.1.2. Vehicle Type breakdown estimates & forecasts, 2020-2030
    • 9.4.1.3. Propulsion Type breakdown estimates & forecasts, 2020-2030
    • 9.4.1.4. Level of Autonomy breakdown estimates & forecasts, 2020-2030
  • 9.4.2. Canada Software-Defined Vehicles Market
• 9.5. Europe Software-Defined Vehicles Market Snapshot
  • 9.5.1. U.K. Software-Defined Vehicles Market
  • 9.5.2. Germany Software-Defined Vehicles Market
  • 9.5.3. France Software-Defined Vehicles Market
  • 9.5.4. Spain Software-Defined Vehicles Market
  • 9.5.5. Italy Software-Defined Vehicles Market
  • 9.5.6. Rest of Europe Software-Defined Vehicles Market
• 9.6. Asia-Pacific Software-Defined Vehicles Market Snapshot
  • 9.6.1. China Software-Defined Vehicles Market
  • 9.6.2. India Software-Defined Vehicles Market
  • 9.6.3. Japan Software-Defined Vehicles Market
  • 9.6.4. Australia Software-Defined Vehicles Market
  • 9.6.5. South Korea Software-Defined Vehicles Market
  • 9.6.6. Rest of Asia Pacific Software-Defined Vehicles Market
• 9.7. Latin America Software-Defined Vehicles Market Snapshot
  • 9.7.1. Brazil Software-Defined Vehicles Market
  • 9.7.2. Mexico Software-Defined Vehicles Market
• 9.8. Middle East & Africa Software-Defined Vehicles Market
  • 9.8.1. Saudi Arabia Software-Defined Vehicles Market
  • 9.8.2. South Africa Software-Defined Vehicles Market
  • 9.8.3. Rest of Middle East & Africa Software-Defined Vehicles Market

Chapter 10. Competitive Intelligence

• 10.1. Key Company SWOT Analysis
  • 10.1.1. Company 1
  • 10.1.2. Company 2
  • 10.1.3. Company 3
• 10.2. Top Market Strategies
• 10.3. Company Profiles
  • 10.3.1. Tesla, Inc
    • 10.3.1.1. Key Information
    • 10.3.1.2. Overview
    • 10.3.1.3. Financial (Subject to Data Availability)
    • 10.3.1.4. Product Summary
    • 10.3.1.5. Recent Developments
  • 10.3.2. Toyota Motor Corporation
  • 10.3.3. Volkswagen Ag
  • 10.3.4. General Motors Company
  • 10.3.5. BYD Company Limited
  • 10.3.6. Hyundai Motor Company
  • 10.3.7. Ford Motor Company
  • 10.3.8. Honda Motor Co., Ltd.
  • 10.3.9. Mercedes Benz Group AG
  • 10.3.10. BMW Group

Chapter 11. Research Process

• 11.1. Research Process
  • 11.1.1. Data Mining
  • 11.1.2. Analysis
  • 11.1.3. Market Estimation
  • 11.1.4. Validation
  • 11.1.5. Publishing
• 11.2. Research Attributes
• 11.3. Research Assumption