The digital twin market has seen critical development as of late, determined by the rising reception of trend setting innovations across different businesses. A digital twin alludes to a virtual portrayal of an actual item, cycle, or framework, and it assumes an essential part in upgrading functional effectiveness, enhancing execution, and working with better direction. An important factor driving the growth of the digital twin industry is the growing need from executives for resource and proactive maintenance. Activities such as construction, healthcare, and energy spur digital twins to continuously generate a digital replica of their real resources, enabling them to scrutinize and explore the presented data.
By decreasing margin time, extending the life of hardware, and identifying anticipated issues before they arise, this proactive approach to support helps. The ability of digital twins to interact with sensors and compile real-time data from physical resources enables enterprises to get valuable insights into their operations. Organizations are empowered by this information-driven strategy to make well-informed decisions, advance cycles, and improve overall productivity. The digital twin market has likewise seen development because of the raising reception of Industry 4.0 practices.
As enterprises embrace brilliant assembling and robotization, digital twins become essential parts in making an associated biological system. They empower consistent correspondence and coordination between various components of a framework, encouraging a keener and more responsive functional climate. Moreover, the interest for digital twins is filled by the rising intricacy of modern cycles. From complex assembling work processes to complicated store network organizations, organizations are going to digital twins to reenact, screen, and deal with these diverse frameworks. This aides in recognizing bottlenecks, smoothing out processes, and upgrading by and large efficiency.
As organizations perceive the capability of digital twins in working on functional proficiency, diminishing expenses, and upgrading direction, the reception rate keeps on climbing. The capacity of digital twins to give an all-encompassing perspective on resources and cycles, combined with their prescient capacities, positions them as significant devices for associations trying to remain cutthroat in the present speedy business scene. Besides, the digital twin market is seeing expanded cooperation and associations among industry players. This cooperative methodology speeds up advancement as well as guarantees that digital twin arrangements are customized to meet the requirements of various enterprises.
Report Attribute/Metric | Details |
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Segment Outlook | Type, Technology, End User, and Region |
Digital Twin Market Size was valued at USD 6.5 billion in 2021. The Digital Twin market industry is projected to grow from USD 8.6 Billion in 2022 to USD 64.76 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 33.30% during the forecast period (2024 - 2030).
The surge in adoption of 3D printing technology and pharmaceutical industries, and the growing propensity toward the adoption of IoT solutions across various industries are the key market drivers enhancing the market growth.
Figure 1: Digital Twin Market Size, 2022-2030 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
The incorporation of twin solutions across the healthcare & life science sector is considered one of the emerging trends. These solutions are increasingly deployed across the pharmaceutical sector to estimate the conclusion of procedures, resulting in fewer physical and real-world tests or process completions. These factors assist healthcare users in developing and authenticating drug applicants. According to the Swedish Digital Twin Consortium, product twin solutions are in the emerging phase and could be used to personalize healthcare treatment. The aim is to develop secure network models and then match those twins computationally. With the rise in awareness of digital solutions, key players are engaged in developing digital life science research and development models.
For instance, Hewlett Packard Enterprise used its supercomputer to create digital models of the brain for research purposes in collaboration with Ecole Polytechnique Federale de Lausannes (EPFL). Thus, growing developments and increasing demand for advanced technology in the industry will increase the digital twin market share. Additionally, digital twins technology helps improve physical product design for the entire product lifecycle through pre-analysis of the actual product in its development stage. In the Industrial Internet of Things (IIoT), digital twin technology discovers errors and changes in large machinery equipment through its analytic software connected with IoT components such as smart sensors and networks.
The tools for building digital twins are growing in power and sophistication. It is now possible to design complex what-if simulations, backtrack from detected real-world conditions, and perform millions of simulation processes without overwhelming systems. Further, with the number of vendors increasing, the range of options continues to grow and expand. Moreover, data from real-time asset monitoring technologies such as LiDAR (light detection and ranging) and FLIR (forward-looking infrared) can now be incorporated into digital twin simulations. Therefore, such medical condition has enhanced the Digital Twin market CAGR across the globe in the recent years.
However, increasing adoption of 3D Simulation and 3D printing software is another factor driving the growth of the Digital Twin market revenue.
The Digital Twin market segmentation, based on type, includes parts twin, product twin, process twin, and system twin. The product twin segment held the majority share in 2021 contribution to around ~40% in respect to the Digital Twin market revenue. The growth is attributed to the rising demand for IoT sensors and electronic manufacturing devices across the healthcare industry. According to IoT World Today, virtual twin is highly adopted across the healthcare industry to develop advanced product twin applications. In healthcare, technology has begun to aid doctors with a better understanding of patients’ diseases, including the corona virus effect on lungs.
The Digital Twin market segmentation, based on technology, includes IoT and IIoT, 5G, big data analytics, blockchain, and artificial. The IoT segment dominated the market in 2021 and is projected to be the faster-growing segment during the forecast period, 2022-2030. IoT devices provide additional benefits to companies as it is refined and digital twin contexts include less complicated objects. Digital twins of complex assets and hierarchical structures can be designed, managed, and visualized using lot. Hence, rising applications for Digital Twin positively impacts the market growth.
Digital Twin End-user InsightsThe Digital Twin market data has been bifurcated by end-user into aerospace & defense, automotive & transportation, manufacturing, healthcare, retail, energy & utilities, home & commercial, it and telecom, and others. The automotive & transportation segment dominated the market in 2021 and is projected to be the faster-growing segment during the forecast period, 2022-2030. The increasing demand for 3D simulation and 3D printing software across applications such as fleet management, vehicle designing & simulation is likely to surge the demand.
Aerospace & defense was the fastest growing. The growth is owing to the rising adoption of automation technologies such as Robotic Process Automation (RPA), industry 4.0, and others. The adoption of these technologies would create opportunities for key players to develop customized solutions to cater to end-users.
By Region, the study provides the market insights into North America, Europe, Asia-Pacific and Rest of the World. North America Digital Twin market accounted for USD 0.88 billion in 2021 and is expected to exhibit a significant CAGR growth during the study period. As end-users across industries, such as healthcare, home & commercial, among others, of the U.S. are investing in adopting parts twin and product twin, this is likely to drive the market growth. Moreover, the U.S. and Canada mark the presence of key providers such as IBM Corporation, Microsoft Corporation, Oracle Corporation, Cisco Systems, Inc., and others.
Further, the major countries studied in the market report are: The U.S, Canada, Germany, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 3: Digital Twin MARKET SHARE BY REGION 2021 (%)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Europe Digital Twin market accounts for the second-largest market share due to the availability of cutting-edge treatment facilities, government backing for the growth of the healthcare industry, an ageing population, and an increase in incidence of degenerative disc disease, rheumatoid arthritis, and osteoarthritis. Further, the Germany Digital Twin market held the largest market share, and the UK Digital Twin market was the fastest growing market in the European region.
The Asia-Pacific Digital Twin Market is expected to grow at the fastest CAGR from 2022 to 2030. The growth of this region can be attributed to the well-established manufacturing and automotive industries in countries such as China, India, Japan, and South Korea. Additionally, smart city development projects across the region and the high demand for consumer products are driving the regional market. Moreover, China Digital Twin market held the largest market share, and the India Digital Twin market was the fastest growing market in the Asia-Pacific region.
Major market players are spending a lot of money on R&D to increase their product lines, which will help the Digital Twin market grow even more. Market participants are also taking a range of strategic initiatives to grow their worldwide footprint, with key market developments such as new product launches, contractual agreements, mergers and acquisitions, increased investments, and collaboration with other organizations. Competitors in the Digital Twin industry must offer cost-effective items to expand and survive in an increasingly competitive and rising market environment.
One of the primary business strategies adopted by manufacturers in the Digital Twin industry to benefit clients and expand the market sector is to manufacture locally to reduce operating costs. In recent years, Digital Twin industry has provided medicine with some of the most significant benefits. The Digital Twin market major player such as Cupix, Ansys, Inc. and others are working to expand the market demand by investing in research and development activities.Cupix provides a cloud based software to automatically map 360 photos and create 3D models only with consumer grade 360 cameras.
In June 2021, Cupix announced the availability of CupixWorks 2.0, a significant update to its leading product, CupixWorks. CupixWorks 2.0 is the industry’s most advanced 3D digital twin platform, enabling building owners, general contractors, and project managers to build smarter, transforming any construction site into an easy-to-manage project and creating value across the entire life cycle of a property.
Also, Ansys, Inc. is an American multinational company with its headquarters based in Canonsburg, Pennsylvania. It develops and markets CAE/multiphysics engineering simulation software for product design, testing and operation and offers its products and services to customers worldwide. In March 2021, Ansys, a company from the USA, and GlobalFoundries (GF) collaborated to offer silicon photonics solutions to address the growth of data volumes while significantly reducing power consumption.
General Electric (US)
AI (US)
IBM (US)
Siemens AG (Germany)
PTC (US)
ANSYS (US)
Oracle (US)
SAP (Germany)
Robert Bosch (Germany), among others
In November 2022, AECO Innovation Lab carried out executed the project named AI-enabled Digital Twins for Automation of Regulatory Processes in the Built Environment. The project supported innovation and digital transformation of the Architecture, Engineering, and Construction industries and related sectors within the public sector. This study examines how new ideas, digital tools, and technology can improve or transform the approval process.
Mevea has announced delivering digital twins, simulation software, and training simulators to Siemens in June 2023. For instance, Siemens integrates these solutions with its open and modular SIMOCRANE Remote Control Systems (RCOS) to remotely control all relevant crane types such as STS (Ship-to-Shore), Cantilever ARMG (Automated Rail Mounted Gantry), End Loading ASC (Automated Stacking Crane) and RTG (Rubber Tyre Gantry). Among other things, digital twins are used for automation of cranes, software testing & development as well as operator training.
In March 2023, ANSYS Inc., a global engineering simulation company, entered into an MOU with L&T Technology Services Limited to establish the LTTS-Ansys Center of Excellence (CoE) for Digital Twin. The center will see LTTS demonstrate industry use cases as well as develop futuristic concepts that would optimize design, manufacturing and supply chain processes for its customers. Furthermore, Ansys’ Twin Builder solution will be leveraged by LTTS to raise its market share in digital twin areas.
In February 2023, Prevu3D led a Series A funding round that was concluded at USD 10 million by Cycle Capital. Cycle Capital is known as a growth-stage climate tech venture capital firm that participated in the Prevu3D-led Series A fundraising round that raised a total of USD 10 million. The deployment of Prevu3D's 3D digital twin platform in industrial contexts could be expanded and accelerated with additional funding.
In February 2023, RICO, the German start-up that is ready to advance AI-driven digital twin generation in manufacturing, undertook a pre-seed investment round, which raised USD1.5 million from Earlybird Venture Capital and US-based investors. The company gives manufacturing organizations the ability to create digital factory layouts at the shop floor level; this would enable businesses to extract data directly from the shop floor into a factory digital twin using deep learning on 3D scans that provide virtual representations of products, processes, services or capabilities for visualization purposes by mapping out a real factory in three dimensions as well as tracking and representing it through a virtual representation.
Parts Twin
Product Twin
Process Twin
System Twin
IoT and IIoT
5G
Big data analytics
Blockchain
Artificial intelligence
Aerospace & Defense
Automotive & Transportation
Electronics & Electrical/ Machine Manufacturing
Healthcare
Retail
Others
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