The report forecasts the global DM market in automotive industry to grow at a CAGR of 8.13% during the period 2016-2020.
The report, Global DM Market in Automotive Industry 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.
One of latest trends in the market is increasing use of DM in manufacturing intelligent cars. The automotive industry is moving toward producing intelligent vehicles, which include completely digitized vehicles (in some cases auto driven) with proper connectivity, apps, and infotainment systems using mediums such as Wi-Fi. Companies such as Tesla have invested a large amount in the R&D of intelligent electric vehicles post 2014. Tesla spent more than $700 million on R&D in 2015. Once an intelligent car model is designed, it should be made in a factory environment, which requires additional facilities such as testing simulations in driverless mode. This increases the complexity associated with the manufacturing processes.
According to the report, one of the primary drivers in the market is increased use of DM for improved traceability. The major solution for the reduction or elimination of product recalls is traceability. Traceability is the process of verifying the systems or products with the help of well-documented past data. One of the major factors that drives the market for DM is its role in traceability in manufacturing processes. DM collects all the data about the manufacturing process, compares it with the production plans, and warns the management in case of any inconsistency. It also provides detailed data about the list of operations performed using a particular part and the products made using that part. This helps to identify any issues affecting the product from the root level.
Further, the report states that one major challenge in the market is high cost of implementation.
- Dassault Systèmes
- Siemens PLM Software
Key Topics Covered:
Part 01: Executive summary
Part 02: Scope of the report
Part 03: Market research methodology
Part 04: Introduction
Part 05: PLM overview
Part 06: DM market overview
Part 07: Role of DM in automotive manufacturing
Part 08: DM value creation
Part 09: Market landscape
Part 10: Geographical segmentation
Part 11: Buying criteria
Part 12: Market drivers
Part 13: Impact of drivers
Part 14: Market challenges
Part 15: Impact of drivers and challenges
Part 16: Market trends
Part 17: Impact of trends
Part 18: Five forces model
Part 19: Vendor landscape
Part 20: Appendix
For more information about this report visit http://www.researchandmarkets.com/research/vn42px/global_dm_market
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SOURCE Research and Markets