Press release
Key Factors to Fuel Growth of the Digital Twin Technology Market through 2017 - 2025
With the rapid spread of IoT, virtual reality (VR) and augmented reality (AR) technology, the new horizon of the digital twin technology is reached. Digital twin technology is the collaboration of data with intelligence, which help enterprises to represent internal structure and behavior of system. With the advent of big data and IoT, digital twin marked its presence in the technical world. It is the virtual image of service, product and process. This bridge between physical and logical world analyze of data and monitoring system, avert problem before they even occur and develop different opportunities for future by using simulations.A sample of this report is available upon request @ https://www.transparencymarketresearch.com/sample/sample.php?flag=B&rep_id=30119
To operate, maintain and predict outcomes of system to a much higher degree of accuracy without even present within physical proximity, is the solution offered by this technology. Sensors equipped in this technology helps in collecting the data of the physical asset that will represent real time data. This benefits several industrial applications and is widely adopted in aircraft engines, wind turbines, smart cities for monitoring and analysis. Digital (software) copies of a physical asset makes it possible to manufacture extremely high quality products. Manufacturers attain the ability to increase the accuracy of predicted failure times as well as adjusting any settings to reduce wear.
Digitization is poised to exert its tremendous influence in the industrial marketplace. The key factor behind the growth of digital twin technology is the technological surge in the digitization market which is empowered due to rise and growth of internet of things. This technology serves manufacturers with high degree of accuracy to design better products, which is possible due to built-in sensors comprised in physical machines. Sensors transmit information to the clone which is analyzed to improve quality of products. To resolve issues faster, these sensors allow ongoing transmission of information to clone for predictive maintenance.
This eventually helps manufacturers to serve better to customers. This is possible due to built-in sensors comprised in physical machines to transmit information to the clone which is analyzed to improve quality of products. The demand for optimized products, digitization of documents and advancement in smart technology, open up opportunities for the growth of the market in the forecast period. Furthermore, increased investment in R&D is also a key factor behind the growth of the digital twin technology market.
Rise in the number of cyber-attacks is a major challenge to market. Furthermore, management among distributers and suppliers for the design of digital files, is also the major restraints faced by the digital twin technology market. Furthermore, less awareness of digital technology in rural areas is also expected to restrain the market growth.
The global digital twin technology market is segmented on the basis of application, end-use industry, software type and geography. On the basis of application the market can be segmented into product design and manufacturing process planning. Based on the end-use industry, the market is segregated into aviation, healthcare, transportation, oil and gas, power and utilities, automotive, chemical, and others. Further, on the basis of software type is segmented into Predix, APDV, DTS-Si and Others The digital twin technology market in North America is expected to dominate the during the forecast period owing to high adoption of industrial IoT technology by medium and large scale enterprises to improve their operational performance. However, North America region is expected to be followed by Western Europe and Asia pacific region
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Some of the key vendor in the digital twin technology market includes General Electric, PTC, Siemens AG, SAP SE, Alphabet Inc., Dell, Cisco Systems, Inc., Bosch Software Innovations GmbH, CSC, AT&T, Schnitger Corporation andTibco Software Inc.
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