Press release
Digital Twins in Automotive Market : Impact and Future Trends 2023-2032
๐๐๐ญ ๐๐๐ฌ๐๐๐ซ๐๐ก ๐๐๐ฉ๐จ๐ซ๐ญ ๐๐๐ฆ๐ฉ๐ฅ๐ ๐๐๐ ๐๐ฌ & ๐๐๐ : https://www.alliedmarketresearch.com/request-sample/108092
๐๐๐๐๐-๐๐ ๐๐๐ง๐๐๐ฆ๐ข๐ ๐๐ฆ๐ฉ๐๐๐ญ :
The COVID-19 pandemic had a significant impact on the implementation and adoption of digital twin technology in the automotive market. This is attributed to the fact that the pandemic led to disruptions in the global supply chains.
Automotive companies faced challenges in conducting R&D activities during the pandemic.
The disruptions caused by the pandemic acted as a catalyst for digital transformation in the automotive industry.
๐๐ก๐ ๐๐ซ๐จ๐๐ฎ๐๐ญ ๐๐๐ฌ๐ข๐ ๐ง ๐๐ง๐ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐ฆ๐๐ง๐ญ ๐ฌ๐๐ ๐ฆ๐๐ง๐ญ ๐ญ๐จ ๐ฆ๐๐ข๐ง๐ญ๐๐ข๐ง ๐ข๐ญ๐ฌ ๐ฅ๐๐๐๐๐ซ๐ฌ๐ก๐ข๐ฉ ๐ฌ๐ญ๐๐ญ๐ฎ๐ฌ ๐ญ๐ก๐ซ๐จ๐ฎ๐ ๐ก๐จ๐ฎ๐ญ ๐ญ๐ก๐ ๐๐จ๐ซ๐๐๐๐ฌ๐ญ ๐ฉ๐๐ซ๐ข๐จ๐
Based on application, the product design and development segment held the highest market share in 2022, accounting for around two-fifths of the global digital twins in automotive market revenue, and is estimated to maintain its leadership status throughout the forecast period, as designers may utilize digital twins to get real-time data on product performance, which allow them to optimize design and development processes. However, the business optimization segment is projected to manifest the highest CAGR of 33.5% from 2023 to 2032, as business optimization digital twins are utilized to optimize supply chain management, logistics, resource allocation, and operational processes within the automotive industry. The focus on cost reduction, enhanced efficiency, and sustainability drives the growth of this segment.
๐๐ซ๐จ๐๐ฎ๐ซ๐ ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ญ๐ ๐๐๐ฌ๐๐๐ซ๐๐ก ๐๐๐ฉ๐จ๐ซ๐ญ ๐๐จ๐ฐ : https://www.alliedmarketresearch.com/digital-twins-in-automotive-market/purchase-options
๐๐ก๐ ๐๐ฒ๐ฌ๐ญ๐๐ฆ ๐๐ข๐ ๐ข๐ญ๐๐ฅ ๐๐ฐ๐ข๐ง ๐ฌ๐๐ ๐ฆ๐๐ง๐ญ ๐ญ๐จ ๐ฆ๐๐ข๐ง๐ญ๐๐ข๐ง ๐ข๐ญ๐ฌ ๐ฅ๐๐๐๐๐ซ๐ฌ๐ก๐ข๐ฉ ๐ฌ๐ญ๐๐ญ๐ฎ๐ฌ ๐ญ๐ก๐ซ๐จ๐ฎ๐ ๐ก๐จ๐ฎ๐ญ ๐ญ๐ก๐ ๐๐จ๐ซ๐๐๐๐ฌ๐ญ ๐ฉ๐๐ซ๐ข๐จ๐
Based on type, the system digital twin segment held the highest market share in 2022, accounting for nearly three-fifths of the global digital twins in automotive industry revenue and is estimated to maintain its leadership status throughout the forecast period. Also, the same segment is expected to witness the fastest CAGR of 33.2% from 2023 to 2032 and is likely to dominate the market during the forecast period. This is owning to the need for improved system performance, reliability, and safety. The ability to simulate and optimize system behavior contributes to shorter development times and lower development costs.
๐๐ก๐ ๐๐ข๐ฆ๐ฎ๐ฅ๐๐ญ๐ข๐จ๐ง ๐ญ๐จ๐จ๐ฅ๐ฌ ๐ฌ๐๐ ๐ฆ๐๐ง๐ญ ๐ญ๐จ ๐ฆ๐๐ข๐ง๐ญ๐๐ข๐ง ๐ข๐ญ๐ฌ ๐ฅ๐๐๐ ๐ฉ๐จ๐ฌ๐ข๐ญ๐ข๐จ๐ง ๐๐ฎ๐ซ๐ข๐ง๐ ๐ญ๐ก๐ ๐๐จ๐ซ๐๐๐๐ฌ๐ญ ๐ฉ๐๐ซ๐ข๐จ๐
Based on technology, the simulation tools segment accounted for the largest share in 2022, contributing to around two-fifths of the global digital twins in automotive market revenue, and is estimated to maintain its leadership status throughout the forecast period, as automakers strive to develop and validate innovative technologies for modelling and simulating automotive complex systems. However, the artificial intelligence (AI) segment is expected to portray the largest CAGR of 35.9% from 2023 to 2032 and is projected to maintain its lead position during the forecast period. This is owing to many software and automotive companies increased utilization of AI in digital twin.
๐๐จ๐ซ๐ญ๐ก ๐๐ฆ๐๐ซ๐ข๐๐ ๐ญ๐จ ๐ฆ๐๐ข๐ง๐ญ๐๐ข๐ง ๐ข๐ญ๐ฌ ๐๐จ๐ฆ๐ข๐ง๐๐ง๐๐ ๐๐ฒ ๐๐๐๐
Based on region, North America held the highest market share in terms of revenue in 2022, accounting for around one-third of the global digital twins in automotive market revenue, and is estimated to maintain its leadership status throughout the forecast period, as North American companies collaborated with robot automation companies to provide advanced automotive manufacturing process. However, the Asia-Pacific segment is expected to portray the largest CAGR of 33.6% from 2023 to 2032 and is projected to maintain its lead position during the forecast period, as digital twins are adopted to improve manufacturing efficiency, reduce costs, and enhance quality control in automotive industry.
๐๐ง๐ช๐ฎ๐ข๐ซ๐ ๐๐๐๐จ๐ซ๐ ๐๐ฎ๐ฒ๐ข๐ง๐ : https://www.alliedmarketresearch.com/purchase-enquiry/108092
๐๐๐๐๐ข๐ง๐ ๐๐๐ซ๐ค๐๐ญ ๐๐ฅ๐๐ฒ๐๐ซ๐ฌ :
Altair Engineering Inc.
ANSYS, Inc.
Bosch Rexroth AG
General Electric Company
IBM Corporation
PTC Inc.
Rockwell Automation, Inc.
SAP SE
Schneider Electric SE.
Siemens
๐๐ข๐ฆ๐ข๐ฅ๐๐ซ ๐๐๐ฉ๐จ๐ซ๐ญ๐ฌ ๐๐ ๐๐๐ฏ๐ ๐จ๐ง ๐๐ฎ๐ญ๐จ๐ฆ๐จ๐ญ๐ข๐ฏ๐ ๐๐ง๐๐ฎ๐ฌ๐ญ๐ซ๐ฒ :
๐๐ฎ๐ญ๐จ๐ฆ๐จ๐ญ๐ข๐ฏ๐ ๐๐๐๐ซ๐ข๐ง๐ ๐ฌ ๐๐๐ซ๐ค๐๐ญ :
https://www.globenewswire.com/en/news-release/2021/04/15/2211063/0/en/Automotive-Bearing-Market-to-Generate-48-41-Billion-by-2027-Allied-Market-Research.html
๐๐ฎ๐ญ๐จ๐ฆ๐จ๐ญ๐ข๐ฏ๐ ๐๐ง๐ญ๐ข๐๐ซ๐๐๐ณ๐ ๐๐๐ซ๐ค๐๐ญ :
https://www.prnewswire.com/news-releases/automotive-antifreeze-market-to-reach-6-01-bn-globally-by-2027-at-7-9-cagr-allied-market-research-301213833.html
๐๐ฎ๐ญ๐จ๐ฆ๐จ๐ญ๐ข๐ฏ๐ ๐๐ง๐ญ๐๐ซ๐ข๐จ๐ซ๐ฌ ๐๐๐ซ๐ค๐๐ญ :
https://www.globenewswire.com/en/news-release/2019/03/08/1750305/0/en/Global-Automotive-Interiors-Market-to-Reach-29-35-Bn-Globally-by-2025-at-4-7-CAGR-Says-Allied-Market-Research.html
๐๐จ๐ง๐ญ๐๐๐ญ :
David Correa
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Web: www.alliedmarketresearch.com
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๐๐๐จ๐ฎ๐ญ ๐ฎ๐ฌ :
Allied Market Research (AMR) is a full-service market research and business consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions. AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.
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