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建設市場 IoT デジタルツイン/MBD

市場調査レポート

商品コード

1365663

自動車におけるデジタルツイン市場：タイプ別、用途別、技術別：世界の機会分析と産業予測、2023～2032年

Digital Twins in Automotive Market By Type, By Application, By Technology (Internet of Things , Artificial Intelligence, Machine Learning, Simulation tools, Others): Global Opportunity Analysis and Industry Forecast, 2023-2032

出版日: 2023年07月01日 | 発行: Allied Market Research

| ページ情報: 英文 285 Pages | 納期: 2～3営業日

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全表示
概要
図表
目次

概要

サンプル依頼リストに入れる

自動車におけるデジタルツイン市場は、環境規制や法規制の増加により、2023年から2032年にかけて32.6%の大幅な成長が見込まれています。

市場の定義と範囲
主な調査結果
- 影響要因
- 主な投資機会
ポーターのファイブフォース分析
市場力学
- 促進要因
  - 効率的な製品設計と開発に対する需要の増加
  - 効率的な性能モニタリングと予知保全の必要性
  - 仮想テストによるコスト削減
- 抑制要因
  - 既存システムへのデジタルツイン技術の統合
  - サイバー攻撃に対するデジタルツインの脆弱性
- 機会
  - エミュレーションソフトウェアとデジタルツイン技術の活用
  - 持続可能な慣行と環境への影響
COVID-19市場への影響分析

第4章自動車におけるデジタルツイン市場：タイプ別

概要
システムデジタルツイン
プロダクトデジタルツイン
プロセスデジタルツイン

第5章自動車におけるデジタルツイン市場：用途別

概要
予知保全
ビジネス最適化
製品設計と開発
その他

第6章自動車におけるデジタルツイン市場：技術別

概要
モノのインターネット（IoT）
人工知能（AI）
機械学習（ML）
シミュレーションツール
その他

第7章自動車におけるデジタルツイン市場：地域別

概要
北米
- 米国
- カナダ
- メキシコ
欧州
- ドイツ
- フランス
- イタリア
- 英国
- その他
アジア太平洋
- 中国
- 日本
- インド
- 韓国
- その他
ラテンアメリカ
- ラテンアメリカ
- 中東
- アフリカ

第8章競合情勢

イントロダクション
主要成功戦略
主要10社の製品マッピング
競合ダッシュボード
競合ヒートマップ
主要企業のポジショニング、2022年

第9章企業プロファイル

Altair Engineering Inc.
ANSYS, Inc.
Bosch Rexroth AG
General Electric Company
IBM Corporation
PTC Inc.
Rockwell Automation, Inc.
SAP SE
Schneider Electric SE.
Siemens

図表

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 (%)

Product Code: A107608

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- Allied Market Research

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.

Additional benefits you will get with this purchase are:

Quarterly Update and* (only available with a corporate license, on listed price)
5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
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Possible Customization with this report (with additional cost and timeline talk to the sales executive to know more)

Additional company profiles with specific to client's interest
Additional country or region analysis- market size and forecast
Expanded list for Company Profiles
SWOT Analysis

Key Market Segments

By Type

System Digital Twin
Product Digital Twin
Process Digital Twin

By Technology

Internet of Things (IoT)
Artificial Intelligence (AI)
Machine Learning (ML)
Simulation tools
Others

By Application

Predictive Maintenance
Business Optimization
Product Design and Development
Others

By Region

North America
- U.S.
- Canada
- Mexico
Europe
- Germany
- France
- Italy
- UK
- Rest of Europe
Asia-Pacific
- China
- Japan
- India
- South Korea
- Rest of Asia-Pacific
LAMEA
- Latin America
- Middle East
- Africa

Key Market Players:

General Electric Company
Altair Engineering Inc.
SAP SE
IBM Corporation
Schneider Electric SE.
ANSYS, Inc.
Rockwell Automation, Inc.
Siemens
Bosch Rexroth AG
PTC Inc.

CHAPTER 1: INTRODUCTION

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

CHAPTER 2: EXECUTIVE SUMMARY

2.1. CXO Perspective

CHAPTER 3: MARKET OVERVIEW

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

CHAPTER 4: DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE

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

CHAPTER 5: DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION

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

CHAPTER 6: DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY

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

CHAPTER 7: DIGITAL TWINS IN AUTOMOTIVE MARKET, BY REGION

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

CHAPTER 8: COMPETITIVE LANDSCAPE

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

CHAPTER 9: COMPANY PROFILES

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 developments

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デジタルツイン

自動車におけるデジタルツイン市場：タイプ別、用途別、技術別：世界の機会分析と産業予測、2023～2032年

Digital Twins in Automotive Market By Type, By Application, By Technology (Internet of Things , Artificial Intelligence, Machine Learning, Simulation tools, Others): Global Opportunity Analysis and Industry Forecast, 2023-2032

目次

第1章イントロダクション

第2章エグゼクティブサマリー

第3章市場概要

第4章自動車におけるデジタルツイン市場：タイプ別

第5章自動車におけるデジタルツイン市場：用途別

第6章自動車におけるデジタルツイン市場：技術別

第7章自動車におけるデジタルツイン市場：地域別

第8章競合情勢

第9章企業プロファイル

LIST OF TABLES

LIST OF FIGURES

Key Benefits For Stakeholders

Key Market Segments

By Type

By Technology

By Application

By Region

Key Market Players:

TABLE OF CONTENTS

CHAPTER 1: INTRODUCTION

CHAPTER 2: EXECUTIVE SUMMARY

CHAPTER 3: MARKET OVERVIEW

CHAPTER 4: DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE

CHAPTER 5: DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION

CHAPTER 6: DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY

CHAPTER 7: DIGITAL TWINS IN AUTOMOTIVE MARKET, BY REGION

CHAPTER 8: COMPETITIVE LANDSCAPE

CHAPTER 9: COMPANY PROFILES

自動車におけるデジタルツイン市場：タイプ別、用途別、技術別：世界の機会分析と産業予測、2023～2032年

Digital Twins in Automotive Market By Type, By Application, By Technology (Internet of Things , Artificial Intelligence, Machine Learning, Simulation tools, Others): Global Opportunity Analysis and Industry Forecast, 2023-2032

目次

第1章 イントロダクション

第2章 エグゼクティブサマリー

第3章 市場概要

第4章 自動車におけるデジタルツイン市場：タイプ別

第5章 自動車におけるデジタルツイン市場：用途別

第6章 自動車におけるデジタルツイン市場：技術別

第7章 自動車におけるデジタルツイン市場：地域別

第8章 競合情勢

第9章 企業プロファイル

LIST OF TABLES

LIST OF FIGURES

Key Benefits For Stakeholders

Key Market Segments

By Type

By Technology

By Application

By Region

Key Market Players:

TABLE OF CONTENTS

CHAPTER 1: INTRODUCTION

CHAPTER 2: EXECUTIVE SUMMARY

CHAPTER 3: MARKET OVERVIEW

CHAPTER 4: DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TYPE

CHAPTER 5: DIGITAL TWINS IN AUTOMOTIVE MARKET, BY APPLICATION

CHAPTER 6: DIGITAL TWINS IN AUTOMOTIVE MARKET, BY TECHNOLOGY

CHAPTER 7: DIGITAL TWINS IN AUTOMOTIVE MARKET, BY REGION

CHAPTER 8: COMPETITIVE LANDSCAPE

CHAPTER 9: COMPANY PROFILES

第1章イントロダクション

第2章エグゼクティブサマリー

第3章市場概要

第4章自動車におけるデジタルツイン市場：タイプ別

第5章自動車におけるデジタルツイン市場：用途別

第6章自動車におけるデジタルツイン市場：技術別

第7章自動車におけるデジタルツイン市場：地域別

第8章競合情勢

第9章企業プロファイル