시장보고서
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1429006

자동차 시뮬레이션 시장 : 전개별, 컴포넌트별, 용도별, 최종 사용자별, 지역별, 기회, 예측(2017-2031년)

Automotive Simulation Market Assessment, By Deployment, By Component, By Application, By End User, By Region, Opportunities and Forecast, 2017-2031F

발행일: | 리서치사: Market Xcel - Markets and Data | 페이지 정보: 영문 228 Pages | 배송안내 : 3-5일 (영업일 기준)

    
    
    


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■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송기일은 문의해 주시기 바랍니다.

세계의 자동차 시뮬레이션 시장 규모는 2024년부터 2031년까지 예측기간 동안 8.95%의 연평균 복합 성장률(CAGR)로 확대될 전망이며, 2023년 21억 8,000만 달러에서 2031년에는 43억 3,000만 달러로 성장할 것으로 예측됩니다. 끊임없이 진화하는 자동차 설계, 자동차 시뮬레이션의 인공지능 적응 및 첨단 소프트웨어가 현대 자동차 제조에 변화를 가져오고 있습니다. 최신 기술 및 시스템을 도입하기 위한 자동차 연구개발 공간의 확대도 시장 확대에 박차를 가하고 있습니다. 시뮬레이션 기술은 변속기, 점화 장치, 배터리 관리 시스템, 배기 가스 시스템, 지각 시스템 등 자동차의 주요 부품에 작용합니다. AI 모델링의 역할은 자동차 설계자가 더 나은 아이디어를 제공할 수 있도록 자동차 시뮬레이션을 고급화하는 것입니다.

또한 전기 자동차 및 스마트 하이브리드 기술의 등장으로 자동차 제품 개발에 새로운 층이 더해지고 있습니다. 최근 개발된 시뮬레이션 기술을 통해 자동차 브랜드는 지속가능성, 신뢰성, 성능 등 제품 요구사항을 최적으로 확인할 수 있습니다. 또한 끊임없이 변화하는 차량 설계는 시뮬레이션 소프트웨어 브랜드에도 그에 맞추어 진화하도록 촉구하고 있습니다. 따라서 새로운 워크플로, AI 모델링 구성 요소 및 업그레이드가 적절하게 추가됩니다.

새로운 ECU 시스템, 차량 안전 부품 및 고급 변속기는 자동차 제품의 설계 업무의 성공으로 탄생합니다. 자동차 기업은 100% 예상대로 제품 설계를 실현하기 위해 새로운 연구개발 프로그램을 시작하고 있습니다. 또한 지속가능하고 기술적으로 선진적이며 멋지게 보이는 자동차에 대한 수요도 공급업체가 제품 테스트 및 프로토타이핑에 주력하는 것을 뒷받침하고 있습니다. 시뮬레이션 소프트웨어를 사용하여 제조업체는 시스템, 서브시스템 및 차량 구성요소를 포함한 V자형 개발 차트를 작성할 수 있습니다. 독자적인 추진력, 배터리 관리 시스템, 모터 부품을 갖춘 전기 자동차의 등장도 자동차 시뮬레이션 시스템 수요를 높이고 있습니다. 또한 컴퓨터 기반 차량 설계에서 증강현실(AR)과 가상현실(VR)을 포함한 확장현실의 역할도 시장 역학을 변화시키고 있습니다. 서비스 공급업체는 다양한 클라우드 공간에 자체 플랫폼을 구축하고 액세스하기 쉽도록 하고 있습니다.

이 보고서는 세계의 자동차 시뮬레이션 시장에 대해 조사했으며, 시장 개요와 함께 배포별, 컴포넌트별, 용도별, 최종 사용자별, 지역별 동향, 시장 진출기업 프로파일 등의 정보를 제공합니다.

목차

제1장 조사 방법

제2장 프로젝트의 범위 및 정의

제3장 주요 요약

제4장 고객의 목소리

제5장 세계의 자동차 시뮬레이션 시장 전망(2017-2031년)

  • 시장 규모 및 예측
  • 전개별
  • 컴포넌트별
  • 용도별
  • 최종 사용자별
  • 지역별
  • 기업별 시장 점유율(%)(2023년)

제6장 세계의 자동차 시뮬레이션 시장 전망 : 지역별(2017-2031년)

  • 북미
  • 유럽
  • 아시아태평양
  • 남미
  • 중동 및 아프리카

제7장 시장 매핑(2023년)

제8장 거시적 환경 및 산업 구조

  • 수요 공급 분석
  • 수출입 분석
  • 밸류체인 분석
  • PESTEL 분석
  • Porter's Five Forces 분석

제9장 시장 역학

제10장 주요 진입기업의 정세

제11장 가격 분석

제12장 사례 연구

제13장 주요 기업의 전망

  • Autodesk Inc.
  • Siemens AG
  • MOOG Inc
  • dSPACE GmbH
  • SIMUL8 Corporation
  • Synopsys Inc.
  • Dassault Systemes SE
  • Parametric Technology Corporation(PTC)
  • Ansys(Swanson Analysis Systems Inc.)
  • Altair Engineering Inc.

제14장 전략적 제안

제15장 문의 및 면책사항

AJY 24.03.04

Global automotive simulation market is projected to witness a CAGR of 8.95% during the forecast period 2024-2031, growing from USD 2.18 billion in 2023 to USD 4.33 billion in 2031. Constantly evolving automotive designs, adaptation of artificial intelligence in auto simulation, and advanced software are transforming modern vehicle manufacturing. Increasing automotive research and development space for deploying the latest technologies and systems is also fueling the market expansion. Simulation technology works on the major components of vehicles, such as transmission, ignition, battery management systems, exhaust gas systems, and perception systems. The role of AI modeling is to upscale automotive simulation as it lets auto designers deliver better ideas.

Furthermore, the advent of electric vehicles and smart hybrid technology adds new layers to automotive product development. The recently developed simulation techniques allow automotive brands to confirm product requirements such as sustainability, reliability, and performance optimally. The constantly changing vehicle design also pushes simulation software brands to evolve accordingly. Hence, new workflows, AI-modeling components, and upgrades are added accordingly.

For instance, in January 2024, Siemens AG introduced its Simcenter Mechanical Simulation 2312. The product focuses more on collaborative workflows for advanced simulation and physical testing. The platform brings together the functionalities of Simcenter SPEED, Motorsolve, and MAGNET. The product also includes a template-based design workflow.

Evolving Automotive Design and Higher Adoption of EVs to Fuel Automotive Simulation Market

The new ECU systems, vehicle safety components, and advanced transmission result from a successful automotive product design operation. Automotive companies are setting up new R&D programs to deliver the 100% anticipated product design that can be turned into reality. The demand for sustainable, technologically advanced, and better-looking vehicles is also pushing vendors to focus more on product testing and prototyping. The simulation software allows manufacturers to create V-shaped development charts that include systems, subsystems, and vehicle components. The advent of electric vehicles with unique propulsion, battery management systems, and motor components is also increasing the demand for automotive simulation systems. Furthermore, the role of extended reality involving augmented reality (AR) and virtual reality (VR) in computer-based vehicle design is also transforming the market dynamics. The service vendors introduce their platform on different cloud spaces to make it accessible.

For instance, in November 2023, NVIDIA Corporation announced Omniverse Cloud Services to accelerate automotive acceleration. The company has chosen Microsoft Azure to deploy its virtual factory and autonomous vehicle simulation engines.

AI-Based Modeling and Collaborative Software to Transform Global Automotive Simulation

AI-based modeling and prototyping are trending in the automotive simulation market. Vehicle systems and workflows are also upgrading, and hence, the demand for more compatible and flexible simulation platforms has increased. Furthermore, artificial intelligence technology also helps algorithm development and system optimization. These systems involve subsystems and components like ORVMs, vehicle performance, and connected car (IoT) components.

The collaborative simulation platforms help the auto designer to unite different platforms. It delivers better designs and reduces the chances of inaccurate prototyping. The collaborative platform also helps the defined vehicle prospect in turning into a reality. The integration of multiple platforms like AUTOSAR, Eclipse SDV, SOAFEE, and COVESA.

In December 2023, Continental AG collaborated with Synopsys Inc. to validate software features and applications for Software-Defined Vehicle (SDV). The tie-up integration will utilize Synopsys's prototyping solutions and Continental's cloud-based development framework.

Government Focus on Higher Vehicle Security to Propel Market Growth

Automotive simulation is crucial to the government's plan of pushing eco-friendly transportation solutions. As automotive simulation eliminates the need for multiple physical prototypes through virtual prototyping, government authorities push the use of simulation platforms during automotive designing and product development. Furthermore, the platforms also help the vehicle manufacturer in optimizing energy efficiency to reduce emissions. Auto engineers can easily analyze and fine-tune several vehicle components and systems. Government subsidies and incentives have pushed EV adoption globally, which also works as a driving factor for the automotive simulation market. Climate change has played a crucial role in adopting auto simulation software by OEMs and public authorities. Government aid for green energy and EVs is also helping automotive companies in their research and development projects.

For instance, in October 2023, the government of the United Kingdom awarded Aston Martin Lagonda Global Holdings plc 9 million euros for its high-performance electrification strategy. The government's funding came through its Advanced Propulsion Center UK (APC).

Software Component lead with Advanced Component Research and High-Performance Systems

The market is distributed into software and service segments based on component type. The software segment will likely perform better as automakers adopt different systems for advanced component research. The software can once be deployed to the system to help the R&D for product design, tests, and prototypes. Furthermore, the intersection of artificial intelligence and simulation is also powering software development. The integration of AI also enhanced the R&D workflows to streamline the modeling procedure. The data for training and validating AI models is also being utilized for software development. The automotive manufacturers, OEMs, and government regulatory authorities consume the software component of automotive simulation programs. Automotive companies also partner to work on software development and auto simulation.

For instance, in April 2023, Hyundai Motor and Kia announced their software development alliance to fuel Software Defined Vehicle (SDV) conversion. Both companies signed a multilateral MoU with 17 companies named Hyundai Motor Group Model-Based Development (MBD) Consortium to enhance virtual verification technology.

Asia-Pacific Dominates Automotive Simulation Market

The Asia-Pacific has become the center for automotive research and development. This is due to the higher consumption of vehicles, the government's focus on product development, and the origin of major automotive brands. The talented workforce, favorable business climate, and automotive research hubs are expected to make Asia-Pacific a leading global automotive simulation market region. Furthermore, emerging economies like China and India hold many automotive companies and startups. India, with its vibrant research ecosystem, has skilled engineers who are constantly developing automotive simulation technology. The international simulation experts are also keenly interested in serving market players in the Asia-Pacific region.

For example, in November 2023, Simulation specialist IPG Automotive established its space in India to support local automotive manufacturers while expanding its international presence.

Future Market Scenario (2024 - 2031F)

Frequently changing vehicle design, the advent of electric vehicles, advanced prototyping, and testing operations are expected to transform the market dynamics.

The expanding research and development projects along with government support to promote eco-friendly manufacturing are likely to fuel the market growth.

New automotive startups and EV producers are projected to consume the major portion of the market.

The integration of artificial intelligence and machine learning platforms with automotive simulation is expected to help in faster testing and prototyping. The multi-model setups to integrate different platforms are also going to transform product development.

Key Players Landscape and Outlook

Key players in the automotive simulator market focus on making their platforms more compatible and inclusive. The key players collaborate, partner, and acquire companies to expand their sales channels. The players also adopt different cloud platforms for easy deployment of software. Key players try to expand their space in Asia-Pacific nations as they hold higher potential. Major brands collaborate with government regulatory bodies for them to validate vehicle design and performance.

For instance, in January 2024, Ansys (Swanson Analysis Systems Inc) partnered with DXOMARK Image Labs SAS to deliver a breakthrough solution to validate virtual cameras. The enhanced process will improve optical performance along with the integrated workflow.

In January 2024, Synopsys Inc. announced the acquisition of Ansys to foster energy synergy between electronics and physics. The acquisition deal aims to expand operations and distribution channels while utilizing Ansys's artificial intelligence experience.

Table of Contents

1. Research Methodology

2. Project Scope & Definitions

3. Executive Summary

4. Voice of Customer

  • 4.1. Product and Market Intelligence
  • 4.2. Mode of Brand Awareness
  • 4.3. Factors Considered in Purchase Decisions
    • 4.3.1. Realism
    • 4.3.2. Accurate Vehicle Dynamics
    • 4.3.3. Inclusivity
    • 4.3.4. Robustness of Environmental Modeling
    • 4.3.5. Compatibility
    • 4.3.6. Customization
  • 4.4. Consideration of Privacy & Safety Regulations

5. Global Automotive Simulation Market Outlook, 2017-2031F

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. By Deployment
    • 5.2.1. On-premises
    • 5.2.2. Cloud
  • 5.3. By Component
    • 5.3.1. Software
    • 5.3.2. Service
  • 5.4. By Application
    • 5.4.1. Prototyping
    • 5.4.2. Testing
  • 5.5. By End User
    • 5.5.1. Automotive Component Manufacturers
    • 5.5.2. OEMs
    • 5.5.3. Regulatory Bodies
  • 5.6. By Region
    • 5.6.1. North America
    • 5.6.2. Europe
    • 5.6.3. Asia-Pacific
    • 5.6.4. South America
    • 5.6.5. Middle East and Africa
  • 5.7. By Company Market Share (%), 2023

6. Global Automotive Simulation Market Outlook, By Region, 2017-2031F

  • 6.1. North America*
    • 6.1.1. Market Size & Forecast
      • 6.1.1.1. By Value
    • 6.1.2. By Deployment
      • 6.1.2.1. On-premises
      • 6.1.2.2. Cloud
    • 6.1.3. By Component
      • 6.1.3.1. Software
      • 6.1.3.2. Service
    • 6.1.4. By Application
      • 6.1.4.1. Prototyping
      • 6.1.4.2. Testing
    • 6.1.5. By End-user
      • 6.1.5.1. Automotive component Manufacturers
      • 6.1.5.2. OEMs
      • 6.1.5.3. Regulatory Bodies
    • 6.1.6. United States*
      • 6.1.6.1. Market Size & Forecast
      • 6.1.6.1.1. By Value
      • 6.1.6.2. By Deployment
      • 6.1.6.2.1. On-premises
      • 6.1.6.2.2. Cloud
      • 6.1.6.3. By Component
      • 6.1.6.3.1. Software
      • 6.1.6.3.2. Service
      • 6.1.6.4. By Application
      • 6.1.6.4.1. Prototyping
      • 6.1.6.4.2. Testing
      • 6.1.6.5. By End-user
      • 6.1.6.5.1. Automotive component Manufacturers
      • 6.1.6.5.2. OEMs
      • 6.1.6.5.3. Regulatory Bodies
    • 6.1.7. Canada
    • 6.1.8. Mexico

All segments will be provided for all regions and countries covered

  • 6.2. Europe
    • 6.2.1. Germany
    • 6.2.2. France
    • 6.2.3. Italy
    • 6.2.4. United Kingdom
    • 6.2.5. Russia
    • 6.2.6. Netherlands
    • 6.2.7. Spain
    • 6.2.8. Turkey
    • 6.2.9. Poland
  • 6.3. Asia-Pacific
    • 6.3.1. India
    • 6.3.2. China
    • 6.3.3. Japan
    • 6.3.4. Australia
    • 6.3.5. Vietnam
    • 6.3.6. South Korea
    • 6.3.7. Indonesia
    • 6.3.8. Philippines
  • 6.4. South America
    • 6.4.1. Brazil
    • 6.4.2. Argentina
  • 6.5. Middle East & Africa
    • 6.5.1. Saudi Arabia
    • 6.5.2. UAE
    • 6.5.3. South Africa

7. Market Mapping, 2023

  • 7.1. By Deployment
  • 7.2. By Component
  • 7.3. By Application
  • 7.4. By End-user
  • 7.5. By Region

8. Macro Environment and Industry Structure

  • 8.1. Demand Supply Analysis
  • 8.2. Import Export Analysis
  • 8.3. Value Chain Analysis
  • 8.4. PESTEL Analysis
    • 8.4.1. Political Factors
    • 8.4.2. Economic System
    • 8.4.3. Social Implications
    • 8.4.4. Technological Advancements
    • 8.4.5. Environmental Impacts
    • 8.4.6. Legal Compliances and Regulatory Policies (Statutory Bodies Included)
  • 8.5. Porter's Five Forces Analysis
    • 8.5.1. Supplier Power
    • 8.5.2. Buyer Power
    • 8.5.3. Substitution Threat
    • 8.5.4. Threat from New Entrants
    • 8.5.5. Competitive Rivalry

9. Market Dynamics

  • 9.1. Growth Drivers
  • 9.2. Growth Inhibitors (Challenges and Restraints)

10. Key Players Landscape

  • 10.1. Competition Matrix of Top Five Market Leaders
  • 10.2. Market Revenue Analysis of Top Five Market Leaders (in %, 2023)
  • 10.3. Mergers and Acquisitions/Joint Ventures (If Applicable)
  • 10.4. SWOT Analysis (For Five Market Players)
  • 10.5. Patent Analysis (If Applicable)

11. Pricing Analysis

12. Case Studies

13. Key Players Outlook

  • 13.1. Autodesk Inc.
    • 13.1.1. Company Details
    • 13.1.2. Key Management Personnel
    • 13.1.3. Products & Services
    • 13.1.4. Financials (As reported)
    • 13.1.5. Key Market Focus & Geographical Presence
    • 13.1.6. Recent Developments
  • 13.2. Siemens AG
  • 13.3. MOOG Inc
  • 13.4. dSPACE GmbH
  • 13.5. SIMUL8 Corporation
  • 13.6. Synopsys Inc.
  • 13.7. Dassault Systemes SE
  • 13.8. Parametric Technology Corporation (PTC)
  • 13.9. Ansys (Swanson Analysis Systems Inc.)
  • 13.10. Altair Engineering Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

14. Strategic Recommendations

15. About Us & Disclaimer

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