Globalization has made companies to focus more on digitalization both in the business and consumer market places. Over the past few years’ IoT has been reaching milestones in the world of technology and it has paved the path for the evolution of various new technologies for enterprises. Digital twin is one such technology which is changing the industry dynamics. Digital twin refers to simulation modules of a physical object.
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This technology is capable of supporting conceptualization’ comparison’ and collaboration for high-end innovations and problem-solving. Further’ the technology provides real-time status and working conditions of the physical objects by accessing data from the sensors installed in the objects. Industry players benefit from this technology in terms of efficiency’ higher productivity’ lean manufacturing’ and cost-effectiveness.
Digital twin works on a simulation platform connected to a predictive analytics platform and it integrates several manufacturing assets’ underlying parts’ and system processes in real-time with the help of sensors and communicates to the operator in a simulation module. The system senses data from a wide range of devices/machines and analyzes the work. Digital twin is currently used for reducing operational loss’ designing and repairing of airplanes and turbines’ controlling supply chain loss in a manufacturing plant’ and others.
Market Revenue and Segmentation Analysis:
The digital twin market is expected to grow at a CAGR of 24.7% during the forecast period 2017-2023. The market is analyzed based on digital twin types’ verticals’ deployment type’ applications’ and regions. The digital twin types considered are product twin’ part twin’ process twin’ and system twin’ wherein the process and systems twins are at a high demand in the end-user industries owing to its wide functionalities. The deployment type segment includes’ cloud-based’ on-premises’ and hybrid. Currently’ cloud deployment is expected to contribute a major share followed by the on-premises and hybrid during the forecast period 2017-2023.
The applications covered are business optimization’ operation optimization’ asset performance management’ edge computing’ cyber security’ and others. The business and process optimizations are set to bring the innovations in the digital twin technology as they control supply chain loss and offer better lean manufacturing capabilities and data driven solutions to improve the productivity.
Regions and Vertical Analysis:
The regions covered in report are Americas’ Europe’ Asia Pacific’ and ROW. Among these’ Americas is expected to grow at a higher CAGR during the forecast period 2017-2023. The US’ Canada’ the UK’ Germany’ and Japan are expected to adopt more digital twin technologies’ and Brazil’ Switzerland’ and Poland are the emerging countries for the digital twin technology adoption owing to the policy changes for the development of their manufacturing capabilities and the rising trend for spending on industrial digital technologies.
Digital twin is used across industries’ such as manufacturing’ power’ oil & gas’ BFSI’ healthcare’ aviation’ smart cities’ and others. The manufacturing industry could receive a wide range of benefits from digital twin’ from product designing to monitoring the plant operations’ load forecasting’ fleet dispatch’ monitoring production losses’ and expected delays in the production and others. In aviation and power industries’ digital twin is used to monitor the working of machines such as propellers’ turbines’ and others. Predictive diagnostics’ asset condition monitoring’ and finding new revenue streams are the popular functions of digital twin in the end-user industries.
Benefits and Vendors
The report contains an in-depth analysis of vendor profiles’ which include financial health’ business units’ key business priorities’ SWOT’ strategy’ and views; and competitive landscape. Digital twin technology is expected to change the way industries work by 2030 with its wide range of capabilities. The report covers an in-depth analysis of Infosys’ General Electric’ Siemens’ AT & T’ IBM’ and others.
The study offers a comprehensive analysis of the “Global Digital Twin Market”. Bringing out the complete key insights of the industry’ the report aims to provide an opportunity for players to understand the latest trends’ current market scenario’ government initiatives’ and technologies related to the market. In addition’ it helps the venture capitalists in understanding the companies better and take informed decisions.
Region/Country Cover in the Report
Regions – Americas’ Europe’ Asia Pacific’ and ROW
Key Players Covered in the Report
Infosys’ General Electric’ Siemens’ AT & T’ IBM’ and others
Some of the metrics this research service discusses are:
Market Size:
- This metric quantifies the total value or volume of a market, providing an understanding of the market’s scale and potential.
Market Growth Rate:
- This metric measures the rate at which the market is growing over a specific period.
- It helps assess the market’s attractiveness and potential for investment.
Market Share:
- Market share metrics indicate the portion or percentage of the market captured by a specific company or product.
- It provides insights into the competitive position of market players.
Customer Satisfaction:
- Customer satisfaction metrics assess the level of satisfaction or dissatisfaction among customers with a product, service, or brand.
- It helps gauge customer loyalty and identify areas for improvement.
Pricing Analysis:
- Pricing metrics analyze the pricing strategies used in the market.
- This includes metrics such as average prices, price differentials between products or competitors, and price elasticity.
Market Segmentation:
- Segmentation metrics involve dividing the market into distinct segments based on factors such as demographics, geography, behavior, or psychographics.
- This helps understand the varying needs and preferences of different customer groups.
Customer Acquisition Cost (CAC):
- CAC is a metric that calculates the cost of acquiring a new customer. It helps evaluate the efficiency of marketing and sales efforts.
Customer Lifetime Value (CLV):
- CLV measures the total value a customer generates over their entire relationship with a company. It helps assess the long-term profitability of customer relationships.
Return on Investment (ROI):
- ROI metrics evaluate the profitability and effectiveness of an investment or marketing campaign.
- It measures the return or gain generated relative to the cost of investment.
Competitive Analysis:
- Competitive analysis metrics assess the performance and strategies of competitors in the market.
- This includes metrics such as market share, revenue growth, product portfolio, and customer satisfaction.
Key Performance Indicators (KPIs):
- KPIs are specific metrics that measure the performance of a business or organization.
- They can include metrics such as sales growth, market penetration, customer retention rate, and profitability.
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