Digital Twins in Automotive Market

The Digital twins in automotive market is expected to experience a significant growth rate of 32.6% from 2023 to 2032 owing to rise in environmental regulations and legislation–

Digital twins in the automotive industry refer to non-physical replicas or virtual representations of physical objects, such as vehicles or robotic arms. These digital twins provide real-time access to relevant data collected from the physical objects through specific sensors, allowing for a comprehensive view of the system and its environment, including factors such as road conditions, weather, and surrounding objects or systems.

The primary value of utilizing digital twins in the automotive sector lies in conducting simulations. Simulating various scenarios, such as crash tests, autonomous driving, and other situations, may be achieved more easily and cost-effectively in a virtual environment compared to using physical vehicles.

Through analysis and simulation of manufacturing processes, digital twins may enhance production processes. It offers information on resource allocation, workflow optimization, and the effectiveness of production lines. Automotive businesses may optimize production schedules, reduce downtime, and boost overall productivity by locating bottlenecks, reducing cycle times, and improving processes in a virtual environment. This leads to cost savings through improved production cycle. For instance, in March 2023, BMW formed a partnership with Nvidia to develop a digital replica of its upcoming EV factory. This collaboration is highly advantageous, both in terms of cost savings and streamlining operations. The technology being utilized, known as Omniverse, enables BMW to connect its intricate design databases into one comprehensive database. This virtual factory serves as an exact digital twin of future plant of BMW in Debrecen, Hungary, which is expected to manufacture approximately 150,000 vehicles annually starting in 2025. The implementation of this virtual factory is expected to revolutionize manufacturing processes of BMW and pave the way for increased efficiency and productivity.

Moreover, major digital twins provider published the results of survey about adoption of digital twins in the automotive industry. For instance, in May 2023, Altair, a prominent player in the field of computational science and artificial intelligence (AI), has unveiled findings from an autonomous study showcasing the widespread utilization of digital twin technology within the automotive sector. The survey data highlights the automotive industry's prominent position as the second most fervent adopter of digital twin technology across the 11 industries surveyed, surpassed only by the heavy equipment sector. Notably, an impressive 92% of automotive respondents expressed how digital twin technology has significantly contributed to the development of sustainable products and processes within their respective organizations.

Furthermore, the complexity of vehicle systems is increasing significantly in the automotive industry as a result of technological advancements, electrification, and autonomous driving. Simulation tools are essential in modelling and simulating these complex systems, which allow automakers to analyze and optimize performance, safety, and efficiency. As automakers strive to develop and validate innovative technologies, the demand for simulation tools is anticipated to increase significantly. 

Moreover, the adoption of machine learning is increasing as software companies integrate ML in their digital twin software for autonomous vehicle development. For instance, in September 2020, Siemens and VSI Labs formed a partnership to accelerate the progress of self-driving car technology. As part of this collaboration, Siemens PAVE360 platform will be utilized to develop digital twin simulations for testing and validating the various processors, electronics, sensors, and systems that are crucial to the VSI Labs Capability Demonstrator.

The global digital twins in automotive market is segmented into type, application, technology, and region. On the basis of type, it is bifurcated into system digital twin, product digital twin, and process digital twin. By Application, it is categorized into predictive maintenance, business optimization, product design & development, and others. On the basis of technology, it is segregated into internet of things (IoT), artificial intelligence (AI), machine learning (ML), simulation tools, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Asia-Pacific is a major hub for automotive manufacturing, with countries such as China, Japan, and South Korea being significant players. This manufacturing strength, coupled with the need for operational efficiency and technological advancements, drives the growth of digital twin adoption.

The focus on intelligent transportation systems, smart cities, and connected vehicles of the region presents significant opportunities for digital twin adoption. Digital twins may enable real-time monitoring of traffic, predictive maintenance for vehicles, and optimized routing for logistics operations.

Moreover, as connected and autonomous vehicles become more prevalent, the utilization of digital twins presents promising prospects for enhancing smart transportation systems. Digital twins may facilitate real-time monitoring of vehicle performance, enabling proactive maintenance and the identification of potential issues before they escalate. For instance, in September 2022, China Mobile Research Institute and Rohde & Schwarz formed a partnership to collaborate on research and validation of joint communication and sensing (JCAS) for 6G digital twin simulation in China. In their efforts to advance JCAS technology and prepare it for widespread use, they are expected to utilize Rohde & Schwarz advanced R&S AREG800A automotive radar echo generator as an object simulator in a JCAS testing solution. The R&S AREG800A is specifically designed for scenario generation and functional safety testing of radar-based advanced driver assistance systems (ADAS), autonomous driving, and related applications

The key players profiled in the report include Altair Engineering Inc., ANSYS, Inc, Bosch Rexroth AG, General Electric Company, IBM Corporation, PTC Inc., Rockwell Automation, Inc., SAP SE, Schneider Electric SE., and Siemens.

Key Market Insights

By application, the product design and development segment was the highest revenue contributor to the market, with $0.42 billion in 2022, and is estimated to reach $7.25 billion by 2032, with a CAGR of 33.5%.

By technology, the simulation tools segment dominated the global market, and is estimated to reach $13.03 billion by 2032, with a CAGR of 31.8%. However, the artificial intelligence (AI) segment is expected to be the fastest growing segment with a CAGR of 35.9% during the forecast period.

Based on region, North America was the highest revenue contributor, accounting for $0.72 billion in 2022, and is estimated to reach $11.24 billion by 2032, with a CAGR of 32.2%.

Overview

In the automobile sector, digital twins are virtual copies of actual vehicles, procedures, or systems. Digital twins are created in the automotive industry by digitizing or replicating real vehicles, including every part and detail down to the smallest bolt. Because the digital image is meant to be identical to its physical counterpart, the term "twin" is utilized.  

In addition, Japanese automobile collaborated with software companies to utilize digital twins for testing of new vehicle. For instance, in May 2022, UD Trucks partnered with PTC Inc. to implement a new data platform, which aims to improve its engineering and supply chain capabilities in the digital era. By partnering with PTC, UD Trucks is projected to enhance its data-sharing infrastructure, enabling the application of digital twin technology to prototype testing. This advancement will facilitate faster identification of issues and allow for prompt modifications and improvements in the development process.

Furthermore, global automotive companies in India adopted digital twin through their subsidiaries to cater to the requirements of the Indian automobile market. For instance, in June 2022, MG Motor India formed a strategic partnership with Siemens AG to harness the power of digital technologies, including the Internet of Things (IoT), data analytics, Plant Simulation, and MindSphere. Siemens AG developed a digital twin of production, a virtual replica of the manufacturing process, which drives improvements in productivity, cost savings, and emissions reduction. Therefore, this region provides numerus opportunity for digital twins in automotive market owing to continuous efforts from automotive companies to adapt the digital twins solutions to improve efficiency.

Moreover, the adoption of machine learning is increasing as software companies integrate ML in their digital twin software for autonomous vehicle development. For instance, in September 2020, Siemens and VSI Labs formed a partnership to accelerate the progress of self-driving car technology. As part of this collaboration, Siemens PAVE360 platform will be utilized to develop digital twin simulations for testing and validating the various processors, electronics, sensors, and systems that are crucial to the VSI Labs Capability Demonstrator. The use of digital twin simulations is expected to enable thorough testing and verification of the AV technology, contributing to its advancement and readiness for real-world deployment.

In addition, AI-powered digital twin is helping in development and testing of EV battery and its supporting system. For instance, in November 2022, Renault, the French automaker joined forces with Google to adopt a software-centric approach in developing its vehicles. Through the utilization of AI, the two companies aim to build a digital twin of a new vehicle. Moreover, the collaboration aims to personalize the user experience by adapting to frequently visited destinations, including electric vehicle charging stations. Therefore, many software and automotive companies increased utilization of AI in digital twin, which drives the growth of the digital twins in automotive market.

Furthermore, IoT is used in automotive digital twins to install sensors, exchange data, monitor and manage products and systems in real-time, provide real-time performance information, integrate with other technologies, provide real-time data, and monitor and model production vehicle fleets. The use of IoT in automotive digital twins can help reduce costs, improve efficiency, and optimize performance.

 The global digital twins in automotive market is segmented into type, application, technology, and region. On the basis of type, it is bifurcated into system digital twin, product digital twin, and process digital twin. By Application, it is categorized into predictive maintenance, business optimization, product design & development, and others. On the basis of technology, it is segregated into internet of things (IoT), artificial intelligence (AI), machine learning (ML), simulation tools, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Key players profiled in the digital twins in automotive market report include Altair Engineering Inc., ANSYS, Inc, Bosch Rexroth AG, General Electric Company, IBM Corporation, PTC Inc., Rockwell Automation, Inc., SAP SE, Schneider Electric SE., and Siemens.

Key Benefits For Stakeholders

●This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the digital twins in automotive market analysis from 2022 to 2032 to identify the prevailing digital twins in automotive market opportunities.

●The market research is offered along with information related to key drivers, restraints, and opportunities.

●Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.

●In-depth analysis of the digital twins in automotive market segmentation assists to determine the prevailing market opportunities.

●Major countries in each region are mapped according to their revenue contribution to the global market.

●Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.

●The report includes the analysis of the regional as well as global digital twins in automotive market trends, key players, market segments, application areas, and market growth strategies.

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Key Market Segments

○ PTC Inc

Scope of Digital Twins in Automotive Market Report

1.1. Report description

1.2. Key market segments

1.3. Key benefits to the stakeholders

1.4. Research Methodology

1.4.1. Primary research

1.4.2. Secondary research

1.4.3. Analyst tools and models

2.1. CXO Perspective

3.1. Market definition and scope

3.2. Key findings

3.2.1. Top impacting factors

3.2.2. Top investment pockets

3.3. Porter’s five forces analysis

3.3.1. Moderate bargaining power of suppliers

3.3.2. Low threat of new entrants

3.3.3. Low threat of substitutes

3.3.4. Low intensity of rivalry

3.3.5. Moderate bargaining power of buyers

3.4. Market dynamics

3.4.1. Drivers

3.4.1.1. Increase in demand for efficient product design and development

3.4.1.2. Need for efficient performance monitoring and predictive maintenance

3.4.1.3. Cost reduction due to virtual testing

3.4.2. Restraints

3.4.2.1. Integrating digital twin technology into existing systems

3.4.2.2. Vulnerability of digital twins to cyber attacks

3.4.3. Opportunities

3.4.3.1. Utilization of emulation software and digital twin technology

3.4.3.2. Sustainable practices and environmental impact

3.5. COVID-19 Impact Analysis on the market

4.1. Overview

4.1.1. Market size and forecast

4.2. System Digital Twin

4.2.1. Key market trends, growth factors and opportunities

4.2.2. Market size and forecast, by region

4.2.3. Market share analysis by country

4.3. Product Digital Twin

4.3.1. Key market trends, growth factors and opportunities

4.3.2. Market size and forecast, by region

4.3.3. Market share analysis by country

4.4. Process Digital Twin

4.4.1. Key market trends, growth factors and opportunities

4.4.2. Market size and forecast, by region

4.4.3. Market share analysis by country

5.1. Overview

5.1.1. Market size and forecast

5.2. Predictive Maintenance

5.2.1. Key market trends, growth factors and opportunities

5.2.2. Market size and forecast, by region

5.2.3. Market share analysis by country

5.3. Business Optimization

5.3.1. Key market trends, growth factors and opportunities

5.3.2. Market size and forecast, by region

5.3.3. Market share analysis by country

5.4. Product Design and Development

5.4.1. Key market trends, growth factors and opportunities

5.4.2. Market size and forecast, by region

5.4.3. Market share analysis by country

5.5. Others

5.5.1. Key market trends, growth factors and opportunities

5.5.2. Market size and forecast, by region

5.5.3. Market share analysis by country

6.1. Overview

6.1.1. Market size and forecast

6.2. Internet of Things (IoT)

6.2.1. Key market trends, growth factors and opportunities

6.2.2. Market size and forecast, by region

6.2.3. Market share analysis by country

6.3. Artificial Intelligence (AI)

6.3.1. Key market trends, growth factors and opportunities

6.3.2. Market size and forecast, by region

6.3.3. Market share analysis by country

6.4. Machine Learning (ML)

6.4.1. Key market trends, growth factors and opportunities

6.4.2. Market size and forecast, by region

6.4.3. Market share analysis by country

6.5. Simulation tools

6.5.1. Key market trends, growth factors and opportunities

6.5.2. Market size and forecast, by region

6.5.3. Market share analysis by country

6.6. Others

6.6.1. Key market trends, growth factors and opportunities

6.6.2. Market size and forecast, by region

6.6.3. Market share analysis by country

7.1. Overview

7.1.1. Market size and forecast By Region

7.2. North America

7.2.1. Key trends and opportunities

7.2.2. Market size and forecast, by Type

7.2.3. Market size and forecast, by Application

7.2.4. Market size and forecast, by Technology

7.2.5. Market size and forecast, by country

7.2.5.1. U.S.

7.2.5.1.1. Key market trends, growth factors and opportunities

7.2.5.1.2. Market size and forecast, by Type

7.2.5.1.3. Market size and forecast, by Application

7.2.5.1.4. Market size and forecast, by Technology

7.2.5.2. Canada

7.2.5.2.1. Key market trends, growth factors and opportunities

7.2.5.2.2. Market size and forecast, by Type

7.2.5.2.3. Market size and forecast, by Application

7.2.5.2.4. Market size and forecast, by Technology

7.2.5.3. Mexico

7.2.5.3.1. Key market trends, growth factors and opportunities

7.2.5.3.2. Market size and forecast, by Type

7.2.5.3.3. Market size and forecast, by Application

7.2.5.3.4. Market size and forecast, by Technology

7.3. Europe

7.3.1. Key trends and opportunities

7.3.2. Market size and forecast, by Type

7.3.3. Market size and forecast, by Application

7.3.4. Market size and forecast, by Technology

7.3.5. Market size and forecast, by country

7.3.5.1. Germany

7.3.5.1.1. Key market trends, growth factors and opportunities

7.3.5.1.2. Market size and forecast, by Type

7.3.5.1.3. Market size and forecast, by Application

7.3.5.1.4. Market size and forecast, by Technology

7.3.5.2. France

7.3.5.2.1. Key market trends, growth factors and opportunities

7.3.5.2.2. Market size and forecast, by Type

7.3.5.2.3. Market size and forecast, by Application

7.3.5.2.4. Market size and forecast, by Technology

7.3.5.3. Italy

7.3.5.3.1. Key market trends, growth factors and opportunities

7.3.5.3.2. Market size and forecast, by Type

7.3.5.3.3. Market size and forecast, by Application

7.3.5.3.4. Market size and forecast, by Technology

7.3.5.4. UK

7.3.5.4.1. Key market trends, growth factors and opportunities

7.3.5.4.2. Market size and forecast, by Type

7.3.5.4.3. Market size and forecast, by Application

7.3.5.4.4. Market size and forecast, by Technology

7.3.5.5. Rest of Europe

7.3.5.5.1. Key market trends, growth factors and opportunities

7.3.5.5.2. Market size and forecast, by Type

7.3.5.5.3. Market size and forecast, by Application

7.3.5.5.4. Market size and forecast, by Technology

7.4. Asia-Pacific

7.4.1. Key trends and opportunities

7.4.2. Market size and forecast, by Type

7.4.3. Market size and forecast, by Application

7.4.4. Market size and forecast, by Technology

7.4.5. Market size and forecast, by country

7.4.5.1. China

7.4.5.1.1. Key market trends, growth factors and opportunities

7.4.5.1.2. Market size and forecast, by Type

7.4.5.1.3. Market size and forecast, by Application

7.4.5.1.4. Market size and forecast, by Technology

7.4.5.2. Japan

7.4.5.2.1. Key market trends, growth factors and opportunities

7.4.5.2.2. Market size and forecast, by Type

7.4.5.2.3. Market size and forecast, by Application

7.4.5.2.4. Market size and forecast, by Technology

7.4.5.3. India

7.4.5.3.1. Key market trends, growth factors and opportunities

7.4.5.3.2. Market size and forecast, by Type

7.4.5.3.3. Market size and forecast, by Application

7.4.5.3.4. Market size and forecast, by Technology

7.4.5.4. South Korea

7.4.5.4.1. Key market trends, growth factors and opportunities

7.4.5.4.2. Market size and forecast, by Type

7.4.5.4.3. Market size and forecast, by Application

7.4.5.4.4. Market size and forecast, by Technology

7.4.5.5. Rest of Asia-Pacific

7.4.5.5.1. Key market trends, growth factors and opportunities

7.4.5.5.2. Market size and forecast, by Type

7.4.5.5.3. Market size and forecast, by Application

7.4.5.5.4. Market size and forecast, by Technology

7.5. LAMEA

7.5.1. Key trends and opportunities

7.5.2. Market size and forecast, by Type

7.5.3. Market size and forecast, by Application

7.5.4. Market size and forecast, by Technology

7.5.5. Market size and forecast, by country

7.5.5.1. Latin America

7.5.5.1.1. Key market trends, growth factors and opportunities

7.5.5.1.2. Market size and forecast, by Type

7.5.5.1.3. Market size and forecast, by Application

7.5.5.1.4. Market size and forecast, by Technology

7.5.5.2. Middle East

7.5.5.2.1. Key market trends, growth factors and opportunities

7.5.5.2.2. Market size and forecast, by Type

7.5.5.2.3. Market size and forecast, by Application

7.5.5.2.4. Market size and forecast, by Technology

7.5.5.3. Africa

7.5.5.3.1. Key market trends, growth factors and opportunities

7.5.5.3.2. Market size and forecast, by Type

7.5.5.3.3. Market size and forecast, by Application

7.5.5.3.4. Market size and forecast, by Technology

8.1. Introduction

8.2. Top winning strategies

8.3. Product Mapping of Top 10 Player

8.4. Competitive Dashboard

8.5. Competitive Heatmap

8.6. Top player positioning, 2022

9.1. Altair Engineering Inc.

9.1.1. Company overview

9.1.2. Key Executives

9.1.3. Company snapshot

9.1.4. Operating business segments

9.1.5. Product portfolio

9.1.6. Business performance

9.1.7. Key strategic moves and developments

9.2. ANSYS, Inc.

9.2.1. Company overview

9.2.2. Key Executives

9.2.3. Company snapshot

9.2.4. Operating business segments

9.2.5. Product portfolio

9.2.6. Business performance

9.2.7. Key strategic moves and developments

9.3. Bosch Rexroth AG

9.3.1. Company overview

9.3.2. Key Executives

9.3.3. Company snapshot

9.3.4. Operating business segments

9.3.5. Product portfolio

9.3.6. Business performance

9.3.7. Key strategic moves and developments

9.4. General Electric Company

9.4.1. Company overview

9.4.2. Key Executives

9.4.3. Company snapshot

9.4.4. Operating business segments

9.4.5. Product portfolio

9.4.6. Business performance

9.5. IBM Corporation

9.5.1. Company overview

9.5.2. Key Executives

9.5.3. Company snapshot

9.5.4. Operating business segments

9.5.5. Product portfolio

9.5.6. Business performance

9.6. PTC Inc.

9.6.1. Company overview

9.6.2. Key Executives

9.6.3. Company snapshot

9.6.4. Operating business segments

9.6.5. Product portfolio

9.6.6. Business performance

9.6.7. Key strategic moves and developments

9.7. Rockwell Automation, Inc.

9.7.1. Company overview

9.7.2. Key Executives

9.7.3. Company snapshot

9.7.4. Operating business segments

9.7.5. Product portfolio

9.7.6. Business performance

9.7.7. Key strategic moves and developments

9.8. SAP SE

9.8.1. Company overview

9.8.2. Key Executives

9.8.3. Company snapshot

9.8.4. Operating business segments

9.8.5. Product portfolio

9.8.6. Business performance

9.8.7. Key strategic moves and developments

9.9. Schneider Electric SE.

9.9.1. Company overview

9.9.2. Key Executives

9.9.3. Company snapshot

9.9.4. Operating business segments

9.9.5. Product portfolio

9.9.6. Business performance

9.9.7. Key strategic moves and developments

9.10. Siemens

9.10.1. Company overview

9.10.2. Key Executives

9.10.3. Company snapshot

9.10.4. Operating business segments

9.10.5. Product portfolio

9.10.6. Business performance

9.10.7. Key strategic moves and development

LIST OF TABLES

TABLE 01. GLOBAL DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 02. DIGITAL TWINS IN AUTOMOTIVE MARKET FOR SYSTEM DIGITAL TWIN, BY REGION, 2022-2032 ($MILLION)

TABLE 03. DIGITAL TWINS IN AUTOMOTIVE MARKET FOR PRODUCT DIGITAL TWIN, BY REGION, 2022-2032 ($MILLION)

TABLE 04. DIGITAL TWINS IN AUTOMOTIVE MARKET FOR PROCESS DIGITAL TWIN, BY REGION, 2022-2032 ($MILLION)

TABLE 05. GLOBAL DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 06. DIGITAL TWINS IN AUTOMOTIVE MARKET FOR PREDICTIVE MAINTENANCE, BY REGION, 2022-2032 ($MILLION)

TABLE 07. DIGITAL TWINS IN AUTOMOTIVE MARKET FOR BUSINESS OPTIMIZATION, BY REGION, 2022-2032 ($MILLION)

TABLE 08. DIGITAL TWINS IN AUTOMOTIVE MARKET FOR PRODUCT DESIGN AND DEVELOPMENT, BY REGION, 2022-2032 ($MILLION)

TABLE 09. DIGITAL TWINS IN AUTOMOTIVE MARKET FOR OTHERS, BY REGION, 2022-2032 ($MILLION)

TABLE 10. GLOBAL DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 11. DIGITAL TWINS IN AUTOMOTIVE MARKET FOR INTERNET OF THINGS (IOT), BY REGION, 2022-2032 ($MILLION)

TABLE 12. DIGITAL TWINS IN AUTOMOTIVE MARKET FOR ARTIFICIAL INTELLIGENCE (AI), BY REGION, 2022-2032 ($MILLION)

TABLE 13. DIGITAL TWINS IN AUTOMOTIVE MARKET FOR MACHINE LEARNING (ML), BY REGION, 2022-2032 ($MILLION)

TABLE 14. DIGITAL TWINS IN AUTOMOTIVE MARKET FOR SIMULATION TOOLS, BY REGION, 2022-2032 ($MILLION)

TABLE 15. DIGITAL TWINS IN AUTOMOTIVE MARKET FOR OTHERS, BY REGION, 2022-2032 ($MILLION)

TABLE 16. DIGITAL TWINS IN AUTOMOTIVE MARKET, BY REGION, 2022-2032 ($MILLION)

TABLE 17. NORTH AMERICA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 18. NORTH AMERICA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 19. NORTH AMERICA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 20. NORTH AMERICA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY COUNTRY, 2022-2032 ($MILLION)

TABLE 21. U.S. DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 22. U.S. DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 23. U.S. DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 24. CANADA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 25. CANADA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 26. CANADA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 27. MEXICO DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 28. MEXICO DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 29. MEXICO DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 30. EUROPE DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 31. EUROPE DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 32. EUROPE DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 33. EUROPE DIGITAL TWINS IN AUTOMOTIVE MARKET, BY COUNTRY, 2022-2032 ($MILLION)

TABLE 34. GERMANY DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 35. GERMANY DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 36. GERMANY DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 37. FRANCE DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 38. FRANCE DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 39. FRANCE DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 40. ITALY DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 41. ITALY DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 42. ITALY DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 43. UK DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 44. UK DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 45. UK DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 46. REST OF EUROPE DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 47. REST OF EUROPE DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 48. REST OF EUROPE DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 49. ASIA-PACIFIC DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 50. ASIA-PACIFIC DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 51. ASIA-PACIFIC DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 52. ASIA-PACIFIC DIGITAL TWINS IN AUTOMOTIVE MARKET, BY COUNTRY, 2022-2032 ($MILLION)

TABLE 53. CHINA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 54. CHINA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 55. CHINA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 56. JAPAN DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 57. JAPAN DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 58. JAPAN DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 59. INDIA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 60. INDIA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 61. INDIA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 62. SOUTH KOREA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 63. SOUTH KOREA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 64. SOUTH KOREA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 65. REST OF ASIA-PACIFIC DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 66. REST OF ASIA-PACIFIC DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 67. REST OF ASIA-PACIFIC DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 68. LAMEA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 69. LAMEA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 70. LAMEA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 71. LAMEA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY COUNTRY, 2022-2032 ($MILLION)

TABLE 72. LATIN AMERICA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 73. LATIN AMERICA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 74. LATIN AMERICA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 75. MIDDLE EAST DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 76. MIDDLE EAST DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 77. MIDDLE EAST DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 78. AFRICA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022-2032 ($MILLION)

TABLE 79. AFRICA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022-2032 ($MILLION)

TABLE 80. AFRICA DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)

TABLE 81. ALTAIR ENGINEERING INC.: KEY EXECUTIVES

TABLE 82. ALTAIR ENGINEERING INC.: COMPANY SNAPSHOT

TABLE 83. ALTAIR ENGINEERING INC.: PRODUCT SEGMENTS

TABLE 84. ALTAIR ENGINEERING INC.: PRODUCT PORTFOLIO

TABLE 85. ALTAIR ENGINEERING INC.: KEY STRATERGIES

TABLE 86. ANSYS, INC.: KEY EXECUTIVES

TABLE 87. ANSYS, INC.: COMPANY SNAPSHOT

TABLE 88. ANSYS, INC.: PRODUCT SEGMENTS

TABLE 89. ANSYS, INC.: PRODUCT PORTFOLIO

TABLE 90. ANSYS, INC.: KEY STRATERGIES

TABLE 91. BOSCH REXROTH AG: KEY EXECUTIVES

TABLE 92. BOSCH REXROTH AG: COMPANY SNAPSHOT

TABLE 93. BOSCH REXROTH AG: PRODUCT SEGMENTS

TABLE 94. BOSCH REXROTH AG: PRODUCT PORTFOLIO

TABLE 95. BOSCH REXROTH AG: KEY STRATERGIES

TABLE 96. GENERAL ELECTRIC COMPANY: KEY EXECUTIVES

TABLE 97. GENERAL ELECTRIC COMPANY: COMPANY SNAPSHOT

TABLE 98. GENERAL ELECTRIC COMPANY: PRODUCT SEGMENTS

TABLE 99. GENERAL ELECTRIC COMPANY: PRODUCT PORTFOLIO

TABLE 100. IBM CORPORATION: KEY EXECUTIVES

TABLE 101. IBM CORPORATION: COMPANY SNAPSHOT

TABLE 102. IBM CORPORATION: SERVICE SEGMENTS

TABLE 103. IBM CORPORATION: PRODUCT PORTFOLIO

TABLE 104. PTC INC.: KEY EXECUTIVES

TABLE 105. PTC INC.: COMPANY SNAPSHOT

TABLE 106. PTC INC.: PRODUCT SEGMENTS

TABLE 107. PTC INC.: PRODUCT PORTFOLIO

TABLE 108. PTC INC.: KEY STRATERGIES

TABLE 109. ROCKWELL AUTOMATION, INC.: KEY EXECUTIVES

TABLE 110. ROCKWELL AUTOMATION, INC.: COMPANY SNAPSHOT

TABLE 111. ROCKWELL AUTOMATION, INC.: PRODUCT SEGMENTS

TABLE 112. ROCKWELL AUTOMATION, INC.: PRODUCT PORTFOLIO

TABLE 113. ROCKWELL AUTOMATION, INC.: KEY STRATERGIES

TABLE 114. SAP SE: KEY EXECUTIVES

TABLE 115. SAP SE: COMPANY SNAPSHOT

TABLE 116. SAP SE: SERVICE SEGMENTS

TABLE 117. SAP SE: PRODUCT PORTFOLIO

TABLE 118. SAP SE: KEY STRATERGIES

TABLE 119. SCHNEIDER ELECTRIC SE.: KEY EXECUTIVES

TABLE 120. SCHNEIDER ELECTRIC SE.: COMPANY SNAPSHOT

TABLE 121. SCHNEIDER ELECTRIC SE.: PRODUCT SEGMENTS

TABLE 122. SCHNEIDER ELECTRIC SE.: PRODUCT PORTFOLIO

TABLE 123. SCHNEIDER ELECTRIC SE.: KEY STRATERGIES

TABLE 124. SIEMENS: KEY EXECUTIVES

TABLE 125. SIEMENS: COMPANY SNAPSHOT

TABLE 126. SIEMENS: PRODUCT SEGMENTS

TABLE 127. SIEMENS: PRODUCT PORTFOLIO

TABLE 128. SIEMENS: KEY STRATERGIES LIST OF FIGURES

FIGURE 01. DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032

FIGURE 02. SEGMENTATION OF DIGITAL TWINS IN AUTOMOTIVE MARKET,2022-2032

FIGURE 03. TOP INVESTMENT POCKETS IN DIGITAL TWINS IN AUTOMOTIVE MARKET (2023-2032)

FIGURE 04. MODERATE BARGAINING POWER OF SUPPLIERS

FIGURE 05. LOW THREAT OF NEW ENTRANTS

FIGURE 06. LOW THREAT OF SUBSTITUTES

FIGURE 07. LOW INTENSITY OF RIVALRY

FIGURE 08. MODERATE BARGAINING POWER OF BUYERS

FIGURE 09. GLOBAL DIGITAL TWINS IN AUTOMOTIVE MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES

FIGURE 10. DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE, 2022(%)

FIGURE 11. COMPARATIVE SHARE ANALYSIS OF DIGITAL TWINS IN AUTOMOTIVE MARKET FOR SYSTEM DIGITAL TWIN, BY COUNTRY 2022 AND 2032(%)

FIGURE 12. COMPARATIVE SHARE ANALYSIS OF DIGITAL TWINS IN AUTOMOTIVE MARKET FOR PRODUCT DIGITAL TWIN, BY COUNTRY 2022 AND 2032(%)

FIGURE 13. COMPARATIVE SHARE ANALYSIS OF DIGITAL TWINS IN AUTOMOTIVE MARKET FOR PROCESS DIGITAL TWIN, BY COUNTRY 2022 AND 2032(%)

FIGURE 14. DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION, 2022(%)

FIGURE 15. COMPARATIVE SHARE ANALYSIS OF DIGITAL TWINS IN AUTOMOTIVE MARKET FOR PREDICTIVE MAINTENANCE, BY COUNTRY 2022 AND 2032(%)

FIGURE 16. COMPARATIVE SHARE ANALYSIS OF DIGITAL TWINS IN AUTOMOTIVE MARKET FOR BUSINESS OPTIMIZATION, BY COUNTRY 2022 AND 2032(%)

FIGURE 17. COMPARATIVE SHARE ANALYSIS OF DIGITAL TWINS IN AUTOMOTIVE MARKET FOR PRODUCT DESIGN AND DEVELOPMENT, BY COUNTRY 2022 AND 2032(%)

FIGURE 18. COMPARATIVE SHARE ANALYSIS OF DIGITAL TWINS IN AUTOMOTIVE MARKET FOR OTHERS, BY COUNTRY 2022 AND 2032(%)

FIGURE 19. DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY, 2022(%)

FIGURE 20. COMPARATIVE SHARE ANALYSIS OF DIGITAL TWINS IN AUTOMOTIVE MARKET FOR INTERNET OF THINGS (IOT), BY COUNTRY 2022 AND 2032(%)

FIGURE 21. COMPARATIVE SHARE ANALYSIS OF DIGITAL TWINS IN AUTOMOTIVE MARKET FOR ARTIFICIAL INTELLIGENCE (AI), BY COUNTRY 2022 AND 2032(%)

FIGURE 22. COMPARATIVE SHARE ANALYSIS OF DIGITAL TWINS IN AUTOMOTIVE MARKET FOR MACHINE LEARNING (ML), BY COUNTRY 2022 AND 2032(%)

FIGURE 23. COMPARATIVE SHARE ANALYSIS OF DIGITAL TWINS IN AUTOMOTIVE MARKET FOR SIMULATION TOOLS, BY COUNTRY 2022 AND 2032(%)

FIGURE 24. COMPARATIVE SHARE ANALYSIS OF DIGITAL TWINS IN AUTOMOTIVE MARKET FOR OTHERS, BY COUNTRY 2022 AND 2032(%)

FIGURE 25. DIGITAL TWINS IN AUTOMOTIVE MARKET BY REGION, 2022(%)

FIGURE 26. U.S. DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 27. CANADA DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 28. MEXICO DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 29. GERMANY DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 30. FRANCE DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 31. ITALY DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 32. UK DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 33. REST OF EUROPE DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 34. CHINA DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 35. JAPAN DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 36. INDIA DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 37. SOUTH KOREA DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 38. REST OF ASIA-PACIFIC DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 39. LATIN AMERICA DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 40. MIDDLE EAST DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 41. AFRICA DIGITAL TWINS IN AUTOMOTIVE MARKET, 2022-2032 ($MILLION)

FIGURE 42. TOP WINNING STRATEGIES, BY YEAR

FIGURE 43. TOP WINNING STRATEGIES, BY DEVELOPMENT

FIGURE 44. TOP WINNING STRATEGIES, BY COMPANY

FIGURE 45. PRODUCT MAPPING OF TOP 10 PLAYERS

FIGURE 46. COMPETITIVE DASHBOARD

FIGURE 47. COMPETITIVE HEATMAP: DIGITAL TWINS IN AUTOMOTIVE MARKET

FIGURE 48. TOP PLAYER POSITIONING, 2022

FIGURE 49. ALTAIR ENGINEERING INC.: NET REVENUE, 2020-2022 ($MILLION)

FIGURE 50. ALTAIR ENGINEERING INC.: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)

FIGURE 51. ALTAIR ENGINEERING INC.: REVENUE SHARE BY SEGMENT, 2022 (%)

FIGURE 52. ALTAIR ENGINEERING INC.: REVENUE SHARE BY REGION, 2022 (%)

FIGURE 53. ANSYS, INC.: NET REVENUE, 2020-2022 ($MILLION)

FIGURE 54. ANSYS, INC.: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)

FIGURE 55. ANSYS, INC.: REVENUE SHARE BY REGION, 2022 (%)

FIGURE 56. BOSCH REXROTH AG: NET SALES, 2020-2022 ($MILLION)

FIGURE 57. BOSCH REXROTH AG: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)

FIGURE 58. BOSCH REXROTH AG: REVENUE SHARE BY REGION, 2022 (%)

FIGURE 59. GENERAL ELECTRIC COMPANY: NET REVENUE, 2020-2022 ($MILLION)

FIGURE 60. GENERAL ELECTRIC COMPANY: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)

FIGURE 61. GENERAL ELECTRIC COMPANY: REVENUE SHARE BY SEGMENT, 2022 (%)

FIGURE 62. GENERAL ELECTRIC COMPANY: REVENUE SHARE BY REGION, 2022 (%)

FIGURE 63. IBM CORPORATION: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)

FIGURE 64. IBM CORPORATION: NET REVENUE, 2020-2022 ($MILLION)

FIGURE 65. IBM CORPORATION: REVENUE SHARE BY SEGMENT, 2022 (%)

FIGURE 66. IBM CORPORATION: REVENUE SHARE BY REGION, 2022 (%)

FIGURE 67. PTC INC.: NET REVENUE, 2020-2022 ($MILLION)

FIGURE 68. PTC INC.: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)

FIGURE 69. PTC INC.: REVENUE SHARE BY REGION, 2022 (%)

FIGURE 70. PTC INC.: REVENUE SHARE BY SEGMENT, 2022 (%)

FIGURE 71. ROCKWELL AUTOMATION, INC.: NET REVENUE, 2020-2022 ($MILLION)

FIGURE 72. ROCKWELL AUTOMATION, INC.: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)

FIGURE 73. ROCKWELL AUTOMATION, INC.: REVENUE SHARE BY SEGMENT, 2021 (%)

FIGURE 74. ROCKWELL AUTOMATION, INC.: REVENUE SHARE BY REGION, 2022 (%)

FIGURE 75. SAP SE: NET REVENUE, 2020-2022 ($MILLION)

FIGURE 76. SAP SE: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)

FIGURE 77. SAP SE: REVENUE SHARE BY SEGMENT, 2022 (%)

FIGURE 78. SAP SE: REVENUE SHARE BY REGION, 2022 (%)

FIGURE 79. SCHNEIDER ELECTRIC SE.: NET REVENUE, 2020-2022 ($MILLION)

FIGURE 80. SCHNEIDER ELECTRIC SE.: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)

FIGURE 81. SCHNEIDER ELECTRIC SE.: REVENUE SHARE BY SEGMENT, 2022 (%)

FIGURE 82. SCHNEIDER ELECTRIC SE.: REVENUE SHARE BY REGION, 2022 (%)

FIGURE 83. SIEMENS: NET REVENUE, 2020-2022 ($MILLION)

FIGURE 84. SIEMENS: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)

FIGURE 85. SIEMENS: REVENUE SHARE BY SEGMENT, 2022 (%)

FIGURE 86. SIEMENS: REVENUE SHARE BY REGION, 2021 (%