Report Description Table of Contents Industry Report and Statistics (Facts & Figures) - Number of Industrial Users, Investment Opportunities, Software Installations & Demand by Industry Verticals & Application The global digital twin market will witness a robust CAGR of 40.1%, valued at $6.30 billion in 2021, expected to appreciate and reach $131.09 billion by 2030, confirms Strategic Market Research. North America accounted for a sizeable market share of over 35% in 2021. Digital Twin is a virtual representation that is created to faithfully represent a physical object. The object being researched, such as a wind turbine, is equipped with various sensors connected to key functioning regions. These sensors generate information about various performance characteristics of the physical device, including environmental conditions, energy output, temperature, etc. After generating the information, the processing system applies it to the digital copy. After receiving this information, the virtual model can investigate performance problems, run simulations, and produce potential enhancements to produce useful insights that can later be applied to the original physical device. The Digital twin model can be extensively used in the following applications: the Automotive Industry, power-generation equipment, manufacturing operations, structures, and their systems, healthcare devices, and urban planning. The applications of Digital Twin act as one the significant drivers in the global market. For instance, from a report published by International Energy Agency, it can be stated that the renewables share in the field of global power generation was approximately 29 percent in the year 2020, which was around 3% more than that in 2019. This is solely due to the implementation of Digital Twin technology in the field of power generation. The developments which are going on in the field of the digital twin are a direct result of ongoing innovation in simulation technology and process industries. Engineers have shifted from hand-drawn to computer-aided drafting/design for product drawings and engineering specifications. Key Industry Drivers - Increasing demand for Digital Twin in Simulation, Sustainability, Military & Defence sector. The digital twin market is driven by the increasing demand for simulation, which allows organizations to analyze complex systems, mitigate risks, accelerate innovation, reduce costs, enable training and skill development, and facilitate remote monitoring and operation. The simulation market is growing with a CAGR of 14.01%, poised to reach $40.12 Bn by 2030. Digital twins provide an ideal platform for simulation, allowing organizations to analyze performance metrics, identify bottlenecks, and optimize processes. This adoption is particularly valuable in aerospace, energy, and healthcare industries, where failures or errors can have severe consequences. The demand for cost reduction and operational efficiency further drives the adoption of digital twins for simulation. The UK Atomic Energy Authority (UKAEA) has recently collaborated with Intel & Dell to build a digital twin of the UK's STEP prototype fusion power plant. The project will use a supercomputer based on Intel technologies and 4th generation Intel Xeon processors on Dell PowerEdge Servers. The simulation will use Intel's Data Center GPU Max Series chips for increased power and compatibility with alternative silicon. The growing demand for sustainability drives the digital twin market as businesses strive to minimize environmental impact, reduce resource consumption, and improve overall efficiency. Digital twins enable organizations to achieve sustainability goals by optimizing energy usage, integrating renewable energy sources, supporting sustainable design and product lifecycle management, and promoting smart cities and urban sustainability. By creating virtual replicas of urban infrastructure, digital twins enable efficient resource allocation, traffic flow optimization, and reduced energy consumption. They also allow carbon footprint monitoring and reduction by capturing data from various sources and simulating carbon emissions. Additionally, digital twins facilitate regulatory compliance by providing accurate and real-time data on environmental performance, streamlining data collection, analysis, and reporting processes. Overall, the increasing demand for sustainability drives the adoption of digital twins. Digital twin technology is a market driver in the military and defense sector, offering numerous benefits such as realistic training, simulation, maintenance, and decision-making. These capabilities enable realistic training and simulation, efficient maintenance, mission planning, and command decision support. They also help address system integration and interoperability challenges, enabling better situational awareness and intelligence analysis. Additionally, digital twins provide a secure environment for cybersecurity testing and training, enabling proactive identification and mitigation of cybersecurity risks. The Capgemini Research Institute reports that aerospace and defense investment in digital twins has increased by 40%, accounting for 2.7% of revenues. This growth is driven by growing confidence in technology's benefit across the value chain, sustainability goals, and digital transformation. Overall, digital twins drive the adoption of these technologies, enhancing operational readiness, decision-making, and effectiveness in military operations. Restraints - Increasing concern for data security associated with IoT and cloud platforms is hindering the market. The digital twin market is rapidly growing due to advancements in IoT and cloud computing technology. These virtual replicas enable real-time monitoring, analysis & optimization of physical assets, products, or processes. However, concerns about data security and privacy have become significant restraints. Data vulnerability, privacy concerns, compliance with regulations, integration complexity, and trust and reliability concerns are all critical challenges. Digital twins generate vast amounts of data from sensors, devices & systems connected to the Internet, which can lead to unauthorized access, data theft/data manipulation. Compliance with GDPR in Europe and CCPA in the USA regulations be complex and expensive, requiring dedicated resources and expertise. To address these challenges, the digital twin market needs to focus on robust security measures, including end-to-end encryption, secure data transmission & storage, access controls, authentication mechanisms & adherence to industry best practices. Collaboration between stakeholders, such as technology providers, regulators, and industry standards bodies, is crucial in establishing comprehensive security frameworks and guidelines for the digital twin ecosystem. Opportunities - Increasing Focus on Cutting-edge Real-Time Data Analytics Real-time data analytics provides an opportunity for the digital twin market. The real-time data analytics market is growing with a robust CAGR of 28%, poised to reach $50 Bn by 2030. A digital twin refers to a replica of a physical object, process, or system that undergoes regular updates using real-time data. Real-time data analytics allows organizations to gain immediate insights & make informed decisions based on data. Integrating technologies like AI, IoT, ML & data analytics offers several benefits, including predictive analytics, problem resolution, iterative optimization, and data-driven decision-making. As organizations continue to adapt to real-time data analytics & the potential of digital twins, the demand for these solutions is expected to grow. Market Analysis Of Different Segments Covered in the Report Based on Enterprise: Large Enterprises Medium Enterprises Small Enterprises Based on Industry: Infrastructure Retail Agriculture Oil and Gas Aerospace Telecommunication Automotive and Transportation Energy and Utilities Healthcare Other Industries Based on Application: Product Design Product Development Inventory Management Predictive Maintenance Performance Monitoring Business Optimization Other Applications Regional Coverage Analysis North America Mexico United States of America Europe France Germany UK Rest of Europe APAC India China South Korea Japan Rest of Asia Pacific Latin America Brazil Mexico Rest of Latin America Rest of the World South America Middle East Africa Enterprise Analysis & Insights The North America had led the global Digital Twin market for medium and small enterprises in the year 2021. North America is expected to rule the global market for small and medium enterprises throughout the forecasted period, that is, 2020-2030. The North American sector is expected to grow at the greatest annual growth rate. After thorough analysis and research, it can be concluded that the military and aerospace industries' share of the North American digital twin industry will increase by more than 30% between 2020 and 2030. North America is the prime hub or rather the home of different manufacturers as well as suppliers. The names of such notable organizations are Amazon (ASW) (US), Microsoft (US), General Electric, and IBM (US). These notable organizations were one of the early implementors and users of the Digital Twin technology in the United States of America. In the North American region, the National Aeronautics and Space Administration was the one who pioneered the adoption and implementation of the digital twin. Aerospace firms such as Boeing (US), Bell Flight (US), Lockheed Martin (US), and Bye Aerospace (US) are concentrated in the area. Microsoft Corporation, in the month of November of 2020, collaborated with Social Alpha to accelerate the growth of health tech start-ups. These organizations regularly invest in digital twin technology and conduct extensive R&D with the technology to optimize their production, lower operational costs, and reduce downtime. Reports conclude that the firms or organizations that have already implemented Digital Twin technology have reduced operational costs and downtime by approximately 30%. Industry Analysis & Insights The industry section categorizes the digital twin market into infrastructure, retail, agriculture, oil & gas, aerospace, telecommunication, automotive & transportation, energy & utilities & healthcare. The automotive & transportation segment dominates the digital twin market with a revenue share of 25%, poised to reach $32.77 Bn by 2030. The automotive & transportation segment dominates the digital twin market due to its complex and interconnected nature, high reliance on technology and data, and potential for significant cost savings, efficiency improvements, and performance enhancements. Digital twins are virtual replicas or simulations of physical assets, processes, or systems that enable real-time monitoring, analysis, and optimization. Technologies like IoT, AI, and data analytics enable manufacturers to create virtual prototypes of vehicles, components, or subsystems, enabling comprehensive testing, analysis, and optimization before physical manufacturing. Connected & autonomous vehicles (CAVs) generate vast amounts of data from sensors like cameras, radar, lidar & GPS. Digital twins can integrate this data and create a comprehensive virtual representation that simulates the vehicle's behaviour, driving conditions, and responses to different scenarios, enhancing safety and reliability. Supply chain optimization is also valuable in the automotive and transportation industry, as digital twins help analyze and optimize material flow, reduce lead times, and improve overall supply chain efficiency. Fleet management and optimization are also enabled by digital twins, enabling fleet operators to optimize routes, reduce fuel consumption, improve driver safety, and enhance overall operational efficiency. Application Analysis & Insights During the stipulated period, the digital twin market for product design & development applications is anticipated to be dominated by the Aircraft production sector. Additionally, between the years 2020 and 2030, it is anticipated that the aircraft sector will expand by a high CAGR. Along with cloud computing, machine learning, artificial intelligence, and the internet of things, the digital twin technology is one of the developing technologies and is used in the development application, product design, and in robotic process automation. The capital required for designing and developing real aircraft parts is very high. The use of Digital Twin technology in R&Ds solely aims to better the development and designing techniques used by the engineers. For instance, as implied in a report published by Boeing, the company has been able to employ the digital twin asset creation approach to achieve up to a 40% improvisation in the quality of the parts & systems it uses to construct commercial and military aircraft. The aircraft sector utilizes digital twin modeling techniques to build a model for information so that the cost involved in that industry can be minimized. A new milestone in the D328eco production process is achieved by Deutsche Aircraft in collaboration with Umlaut, which is a part of Accenture. The collaboration resulted in digitization and 3D modeling of the wing spar box, which supports the leading and trailing edges of the wings. Digital Twin Market Report Coverage Report Attribute Details Forecast Period 2021 - 2030 The market size value in 2021 USD 6.30 Billion The Revenue forecast in 2030 USD 131.09 Billion Growth rate 40.1% The base year for estimation 2021 Historical data 2017 - 2020 Quantitative units Revenue in $ million/billion and CAGR from 2021 to 2030 Report Coverage Competitive landscape, Revenue Forecast, company ranking, trends, and growth factors, Segments Covered Enterprise, Application, Industry, Region Regional scope Europe, Asia Pacific, North America, Rest of the World Country scope US, Canada, Mexico, Germany, UK, France, Rest of Europe, China, Japan, India, South Korea, Africa, Brazil, Middle East, Rest of Latin America, Rest of Asia Pacific Key companies profiled ABB, Dassault Systems, Siemens, General Electric, Hexagon AB, IBM Corp., SAP, Microsoft Corp., AVEVA Group plc, Global Digital Twin Market Competitive Landscape Analysis Companies are investing in product research, developments, and process automation due to the fierce competition among market leaders to introduce cutting-edge & novel items. Additionally, several automakers are implementing digital twin technology by utilizing interactive dashboards for cars on their websites, allowing customers to personalize their cars whenever they like. This aids businesses in understanding consumer behavior and modifying current models. Businesses implement tactics to seize new market opportunities and target new clients by creating personalized products. For instance, Dassault Systèmes and Renault Group established cooperation in December 2021. The alliance sought to create programs for new vehicles and mobility services utilizing Dassault Systemes' 3DEXPERIENCE platform in the cloud. Renault Group would use the technology to manage its product configurations' virtual twins. In the target industry, there are significant companies, and the names of those significant players in the market are mentioned below: ABB Siemens Oracle Corporation General Electric IBM Corporation Bosch SAP Dassault Systemes Microsoft Corporation AVEVA Group plc Hexagon AB Recent Developments: On June 2023, NEXSYS-ONE, a global leader in cloud-based enterprise software solutions, and vHive, a leading digital twin software solution, partnered to provide integration options between their products, enhancing customers' experience by providing one source of truth of asset data. This will improve time to revenue, prevent revenue leakage, and reduce costs. The integration will simplify telecos and towercos digital transformation journey by enhancing asset representation, analytics, and insights. NEXSYS-ONE's TOWER-ONE, ASSET-ONE, and TASK-ONE modules will offer value-added features, such as tower management functionality, visual asset registration, fault diagnostics, and troubleshooting. The partnership will accelerate the implementation of new technologies, co-location processes, and ongoing maintenance work. These services will be available globally for operators, towercos, system integrators, and businesses supporting telecom networks and renewable energy infrastructure. On June 2023, Honeywell has recently unveiled Digital Prime, an innovative digital twin solution platform that aims to revolutionize the management of process controls and industrial systems. The platform is hosted in the cloud, allowing users, particularly those in the oil and gas industry, to perform frequent testing while minimizing the need for reactive maintenance interventions. The platform will become available in November and aims to provide industrial businesses with dependable and efficient cloud-based testing capabilities in real time. Digital Prime offers a state-of-the-art "lab system as a service" that consistently adapts to accommodate modifications in the production environment. This service provides users with a dependable digital twin that ensures optimal reliability. The platform enables users to manage changes effectively, conduct factory acceptance tests, and enhance project execution and training without causing disruptions to normal production system operations. On June 2023, Wegaw was granted a Swiss Accelerator Grant of CHF 1.4 million by Innosuisse. This funding will advance geospatial digital twin technology development, specifically for near-real-time monitoring of snow, glaciers, and water resources. This technology aims to offer unparalleled precision in predicting future water and energy availability. The government of Switzerland is partnering with Wegaw to strengthen energy generation and forecasting capabilities. The project will collaborate with Hydrique and Mitta to develop a precise digital replica of water, glacier, and snow resource datasets. The objective is to create a highly sophisticated snow, glacier, and water forecasting tool to empower Swiss companies, utilities, and public agencies to enhance their energy generation, trading pricing strategies, and water demand management. On June 2023, DataMesh integrated its digital twin and XR applications, such as DataMesh Director, with AR glasses like the Lenovo ThinkReality A3. The goal is to make digital twins more accessible to frontline workers and creators in North America and beyond, addressing workflow challenges in training, planning, and everyday operations. DataMesh is displaying its FactVerse applications at AWE USA 2023, focusing on Training, Experience, Monitoring and Control, and Simulation (TEMS) scenarios. The FactVerse enterprise metaverse platform strives to enhance everyday operations and foster enterprise motivation by offering a seamless plug-and-play experience for frontline employees. On June 2023, LlamaZOO is excited to announce the release of the beta version of its cutting-edge digital twin editing software known as Clarity Digital Twin. This innovative software can generate highly immersive replicas of various physical assets. The software analyzes data from multiple sources, including satellite imaging and physical mapping, to create 3D replicas for efficient data visualization. It can be used in numerous industries, including industrial management and land-based decision-making. ClarityDT offers various applications, such as land and project planning, ecological disaster visualization, and climate resiliency assessment. Applications are now open for industrial and land-based resource operators, and the platform will be available globally in the first half of 2024. On June 2023, The Safety, Infrastructure & Geospatial division of Hexagon, in collaboration with Fujitsu Limited, has recently unveiled their joint efforts in developing digital twin applications. These applications are specifically designed to forecast and address the occurrence of natural disasters and traffic accidents, aiming to enhance safety and mitigate potential risks. The objective of this partnership is to establish cities that are resilient and capable of withstanding disasters. This will be achieved by integrating Fujitsu's advanced computing and software technologies with Hexagon's M.App Enterprise, a real-time geospatial application. The integrated solution utilizes digital rehearsal technology to analyze and validate potential disaster threats and determine the most effective preparedness measures in advance. The application is designed to represent areas that experience high levels of traffic accidents visually. It analyzes various factors such as traffic volumes, road design, and signage. Based on this analysis, the application offers recommendations for mitigating traffic accidents. These recommendations align with the Road Safety Toolkit developed by the International Road Assessment Programme (iRAP). Fujitsu and Hexagon will proceed with ongoing field trials involving customers in the administrative, municipal, and transportation sectors. These trials aim to facilitate decision-making processes for urban environmental optimization. Various Devices that Market Leaders are Manufacturing Name Feature Key Player Azure Digital Twins You may construct a digital representation of things, locations, business processes, and people in the real world using the Azure Digital Twins Internet of Things (IoT) platform. Gain knowledge that will enable you to improve goods, streamline processes and cut costs while delivering ground-breaking consumer experiences. Microsoft Corporation IBM Digital Twin Exchange For businesses managing corporate-wide digital assets with tools like IBM Maximo enterprise asset management, the IBM Digital Twin Exchange is a useful resource. IBM Corporation Bosch IoT Things It is an open-source platform with the help of which different devices communicate efficiently & directly over an API. Authentication mechanism, as well as security, is also supported by this platform. Bosch Frequently Asked Question About This Report How big is the digital twin market? The Digital Twin Market showcased a Market Share of USD 7.6 Billion in the year 2021. What is the digital twin market growth? The annual growth rate during the forecasted period, that is, 2020-2030, is 40.1 %. What is the digital twin in Blockchain? Blockchain technology and digital twins modify industrial applications and guarantee data management security. Additionally, Blockchain and Digital Twins provide useful information for decision-making. Additionally, Blockchain-based solutions offer security and dependability for Digital Twins. Because of this, combining Blockchain with Digital Twins gives firms a boost in efficiency and legitimacy. How the infrastructure industry contribute to the overall market growth by 2030? Cities may use digital twins to more precisely design buildings, identify more robust methods to improve physical infrastructure to lower the cost of disaster response and incorporate green design elements to produce long-term energy savings. As a result, the infrastructure industry will contribute to increase the overall digital twin market share by the end of 2030. Is digital twin expensive? Digital Twin are pretty expensive, and the high-cost act as a restraint on the growth of the digital twin market. What is a digital twin example? Azure Digital twin, which is developed by Microsoft Corporation is a perfect example of the digital twin. Sources https://www.iea.org/reports/global-energy-review-2021/renewables https://oden.io/.well-known/captcha/?r=%2Fblog%2Fdowntime-in-manufacturing-the-true-cost%2F https://www.mckinsey.com/~/media/McKinsey/Industries/Capital%20Projects%20and%20Infrastructure/Our%20Insights/The%20next%20normal%20in%20construction/The-next-normal-in-construction.pdf https://www.sciencedirect.com/science/article/pii/S0166361521001652 https://www.mdpi.com/2571-5577/5/4/65 https://blog.ptvgroup.com/en/city-and-mobility/cavs-interaction-infrastructure/ https://www.globalialogisticsnetwork.com/blog/2021/12/15/the-use-of-digital-twins-in-transportation-and-logistics/ https://www.rtinsights.com/what-differentiates-real-time-digital-twins/ https://www.confluent.io/learn/real-time-data-and-analytics/ https://www.csoonline.com/article/574179/the-cybersecurity-challenges-and-opportunities-of-digital-twins.html https://spacenews.com/digital-twins-gaining-traction-in-military-satellite-programs/ https://www.boxarr.com/post/digital-twin-defence-ecosystem https://www.capgemini.com/news/press-releases/ se/ https://www.forbes.com/sites/jefffromm/2022/12/12/brands-can-leverage-digital-twins-to-drive-sustainability/?sh=196c41025c07 https://www.weforum.org/agenda/2023/05/digital-twins-manufacturing-sustainability/ https://www.challenge.org/insights/digital-twin-simulations/ https://www.itpro.com/infrastructure/servers-and-storagent 1. Introduction 1.1. Study Objective 1.2. Market Definition 1.3. Study Scope 1.3.1. Markets Covered 1.3.2. Geographic Scope 1.3.3. Years Considered 1.3.4. Stakeholders 2. Research Methodology 2.1. Data Procurement 2.2. Paid Database 2.2.1. Secondary Data 2.2.1.1. Key Secondary sources 2.2.2. Primary Data 2.2.2.1 Primary sources 2.2.2.2. Key industry insights 2.2.2.3. Primary interviews with experts 2.2.2.4. Key primary respondent list 2.3. Market Size Estimation 2.4. Bottom-Up and Top-Down Approaches 2.4.1. Bottom-Up Approach 2.4.1.1. Approach for arriving at Market size by bottom-up analysis 2.4.2. Top-Down Approach 2.4.2.1. Approach for Capturing Market Size by Top-Down Analysis 2.5. Market Breakdown and Data Triangulation 2.6. Research Methodology 2.7. Risk Assessment 3. Executive Summary 3.1 Digital Twin Market: Post-Covid-19 3.1.1 Actual Scenario 3.1.2 Pessimistic Scenario 3.1.3 Optimistic Scenario 3.1.4 Market Summary 4. Industry Outlook 4.1 Market Snapshot 4.2 Digital Twin Market 4.2.1 Market, 2020 – 2028 (USD Million) 4.3 Regional Business Analysis 4.3.1 Market, by region, 2021-2030 (USD Million) 4.4 By Enterprise Business Analysis 4.4.1 Market, By Enterprise, 2021-2030 (USD Million) 4.5 By Industry Business Analysis 4.5.1 Market, By Industry, 2021-2030 (USD Million) 4.6 Application Business Analysis 4.6.1 Market, By Application, 2021-2030 (USD Million) 4.7 Value Chain Analysis 4.8 Market Variable Analysis 4.8.1 Market Drivers Analysis 4.8.2 Market Restraints Analysis 4.9 Business Environment Analysis Tool 4.9.1 Market PEST analysis 4.9.2 Market Porter’s analysis 4.10 Penetration & Growth Prospect Mapping 5. Market Dynamics 5.1. Introduction 5.2. Market Dynamics 5.2.1. Drivers 5.2.2. Restraints 5.2.3. Opportunities 5.2.4. Challenges 5.3. Impact of Covid-19 On Market 5.4. Value Chain Analysis 5.5. Ecosystem 5.6. Patent Analysis 5.7. Trade Analysis 5.8. Tariff Analysis 5.9. Case Study Analysis 5.10. Porter’s Five Forces Analysis 5.10.1 Threat of New Entrants 5.10.2 Threat of Substitutes 5.10.3 Bargaining Power of Buyers 5.10.4 Bargaining Power of Suppliers 5.10.5 Degree of Competition 5.11. Application Analysis 5.11.1. Trends in Application (2014-2020) 5.11.2. Trends in Application (2021-2028) 5.12. Pricing Analysis 5.12.1. Average Price Trend Analysis (By Region, By Countries) 6. Competitive & Vendor Landscape 6.1. Company Market Share Analysis 6.2. Manufacturers Manufacturing Sites, Area Served, Enterprise 6.3. Market Competitive Situation and Trends 6.4. Manufacturers Mergers & Acquisitions, Expansion Plans 7. Market: By Enterprise Segment Analysis 7.1. Introduction 7.2. Sales Volume & Revenue Analysis (2021-2030) 7.3. Large Enterprises 7.3.1. Large Enterprises, 2021-2030 (USD Million) 7.4. Medium Enterprises 7.4.1. Medium Enterprises Market, 2021-2030 (USD Million) 7.5. Small Enterprises 7.5.1. Small Enterprises Market, 2021-2030 (USD Million) 8. Market: By Industry Segment Analysis 8.1. Introduction 8.2. Sales Volume & Revenue Analysis (2021-2030) 8.3. Infrastructure 8.3.1. Infrastructure Market, 2021-2030 (USD Million) 8.4. Retail 8.4.1. Retail Market, 2021-2030 (USD Million) 8.5. Agriculture 8.5.1. Agriculture Market, 2021-2030 (USD Million) 8.6. Oil and Gas 8.6.1. Oil and Gas Market, 2021-2030 (USD Million) 8.7. Aerospace 8.7.1. Aerospace Market, 2021-2030 (USD Million) 8.8. Telecommunication 8.8.1. Telecommunication Market, 2021-2030 (USD Million) 8.9. Automotive and Transportation 8.9.1. Automotive and Transportation Market, 2021-2030 (USD Million) 8.10. Healthcare 8.10.1. Healthcare Market, 2021-2030 (USD Million) 8.11. Other Industries 8.11.1. Other Industries Market, 2021-2030 (USD Million) 9. Market: By Application Segment Analysis 9.1. Introduction 9.2. Sales Volume & Revenue Analysis (2021-2030) 9.3. Product Design 9.3.1. Product Design Market, 2021-2030 (USD Million) 9.4. Product Development 9.4.1. Product Development Market, 2021-2030 (USD Million) 9.5. Inventory Management 9.5.1. Inventory Management Market, 2021-2030 (USD Million) 9.6. Predictive Maintenance 9.6.1. Predictive Maintenance Market, 2021-2030 (USD Million) 9.7. Performance Monitoring 9.7.1. Performance Monitoring Market, 2021-2030 (USD Million) 9.8. Business Optimization 9.8.1. Business Optimization Market, 2021-2030 (USD Million) 9.9. Other Applications 9.9.1. Other Applications Market, 2021-2030 (USD Million) 10. Market: Regional Outlook 10.1 North America 10.1.1. North America Market, By Enterprise, 2021-2030 (USD Million) 10.1.2. North America Market, By Industry, 2021-2030 (USD Million) 10.1.3. North America Market, by Application, 2021-2030 (USD Million) 10.1.4. North America Market, by Country, 2021-2030 (USD Million) 10.1.4.1. U.S. 10.1.4.1.1. U.S. Market, By Enterprise, 2021-2030 (USD Million) 10.1.4.1.2. U.S. Market, By Industry, 2021-2030 (USD Million) 10.1.4.1.3. U.S. Market, by Application, 2021-2030 (USD Million) 10.1.4.2. Canada 10.1.4.2.1. Canada Market, By Enterprise, 2021-2030 (USD Million) 10.1.4.2.2. Canada Market, By Industry, 2021-2030 (USD Million) 10.1.4.2.3. Canada Market, by Application, 2021-2030 (USD Million) 10.2. Europe 10.2.1. Europe Market, By Enterprise, 2021-2030 (USD Million) 10.2.2. Europe Market, By Industry, 2021-2030 (USD Million) 10.2.3. Europe Market, by Application, 2021-2030 (USD Million) 10.2.4. Europe Market, by country, 2021-2030 (USD Million) 10.2.4.1 U.K. 10.2.4.1.1. U.K. Market, By Enterprise, 2021-2030 (USD Million) 10.2.4.1.2. U.K. Market, By Industry, 2021-2030 (USD Million) 10.2.4.1.3. U.K. Market, by Application, 2021-2030 (USD Million) 10.2.4.2. Germany 10.2.4.2.1. Germany Market, By Enterprise, 2021-2030 (USD Million) 10.2.4.2.2. Germany Market, By Industry, 2021-2030 (USD Million) 10.2.4.2.3. Germany Market, by Application, 2021-2030 (USD Million) 10.2.4.3. France 10.2.4.3.1. France Market, By Enterprise, 2021-2030 (USD Million) 10.2.4.3.2. France Market, By Industry, 2021-2030 (USD Million) 10.2.4.3.3. France Market, by Application, 2021-2030 (USD Million) 10.2.4.4. Rest of Europe 10.2.4.4.1. Rest of Europe Market, By Enterprise, 2021-2030 (USD Million) 10.2.4.4.2. Rest of Europe Market, By Industry, 2021-2030 (USD Million) 10.2.4.4.3. Rest of Europe Market, by Application, 2021-2030 (USD Million) 10.3. Asia Pacific 10.3.1. Asia Pacific Market, By Enterprise, 2021-2030 (USD Million) 10.3.2. Asia Pacific Market, By Industry, 2021-2030 (USD Million) 10.3.3. Asia Pacific Market, by Application, 2021-2030 (USD Million) 10.3.4. Asia Pacific Market, by country, 2021-2030 (USD Million) 10.3.4.1. China 10.3.4.1.1. China Market, By Enterprise, 2021-2030 (USD Million) 10.3.4.1.2. China Market, By Industry, 2021-2030 (USD Million) 10.3.4.1.3. China Market, by Application, 2021-2030 (USD Million) 10.3.4.2. India 10.3.4.2.1. India Market, By Enterprise, 2021-2030 (USD Million) 10.3.4.2.2. India Market, By Industry, 2021-2030 (USD Million) 10.3.4.2.3. India Market, by Application, 2021-2030 (USD Million) 10.3.4.3. Japan 10.3.4.3.1. Japan Market, By Enterprise, 2021-2030 (USD Million) 10.3.4.3.2. Japan Market, By Industry, 2021-2030 (USD Million) 10.3.4.3.3. Japan Market, by Application, 2021-2030 (USD Million) 10.3.4.4. South Korea 10.3.4.4.1. South Korea Market, By Enterprise, 2021-2030 (USD Million) 10.3.4.4.2. South Korea Market, By Industry, 2021-2030 (USD Million) 10.3.4.4.3. South Korea Market, by Application, 2021-2030 (USD Million) 10.3.4.5. Rest of ASIA PACIFIC 10.3.4.5.1. Rest of ASIA PACIFIC Market, By Enterprise, 2021-2030 (USD Million) 10.3.4.5.2. Rest of ASIA PACIFIC Market, By Industry, 2021-2030 (USD Million) 10.3.4.5.3. Rest of ASIA PACIFIC Market, by Application, 2021-2030 (USD Million) 10.4. Latin America 10.4.1. Latin America Market, By Enterprise, 2021-2030 (USD Million) 10.4.2. Latin America Market, By Industry, 2021-2030 (USD Million) 10.4.3. Latin America Market, by Application, 2021-2030 (USD Million) 10.4.4. Latin America Market, by country, 2021-2030 (USD Million) 10.4.4.1. Brazil 10.4.4.1.1. Brazil Market, By Enterprise, 2021-2030 (USD Million) 10.4.4.1.2. Brazil Market, By Industry, 2021-2030 (USD Million) 10.4.4.1.3. Brazil Market, by Application, 2021-2030 (USD Million) 10.4.4.2. Mexico 10.4.4.2.1. Mexico Market, By Enterprise, 2021-2030 (USD Million) 10.4.4.2.2. Mexico Market, By Industry, 2021-2030 (USD Million) 10.4.4.2.3. Mexico Market, by Application, 2021-2030 (USD Million) 10.4.4.3. Rest of Latin America 10.4.4.3.1. Rest of the Latin America Market, By Enterprise, 2021-2030 (USD Million) 10.4.4.3.2. Rest of the Latin America Market, By Industry, 2021-2030 (USD Million) 10.4.4.3.3. Rest of the Latin America Market, by Application, 2021-2030 (USD Million) 10.5. MEA 10.5.1. MEA Market, By Enterprise, 2021-2030 (USD Million) 10.5.2. MEA Market, By Industry, 2021-2030 (USD Million) 10.5.3. MEA Market, by Application, 2021-2030 (USD Million) 10.5.4. MEA Market, by Region, 2021-2030 (USD Million) 11. Competitive Landscape 11.1 ABB 11.1.1. Company overview 11.1.2. Financial performance 11.1.3. EnterprisePortfolio Analysis 11.1.4. Business Strategy & Recent Development 11.2. Siemens 11.2.1. Company overview 11.2.2. Financial performance 11.2.3. Enterprise Portfolio Analysis 11.2.4. Business Strategy & Recent Development 11.3. Oracle Corporation 11.3.1. Company overview 11.3.2. Financial performance 11.3.3. Enterprise Portfolio Analysis 11.3.4. Business Strategy & Recent Development 11.4. General Electric 11.4.1. Company overview 11.4.2. Financial performance 11.4.3. Enterprise Portfolio Analysis 11.4.4. Business Strategy & Recent Development 11.5. IBM Corporation 11.5.1. Company overview 11.5.2. Financial performance 11.5.3. Enterprise Portfolio Analysis 11.5.4. Business Strategy & Recent Development 11.6. Bosch 11.6.1. Company overview 11.6.2. Financial performance 11.6.3. Enterprise Portfolio Analysis 11.6.4. Business Strategy & Recent Development 11.7. SAP 11.7.1. Company overview 11.7.2. Financial performance 11.7.3. Enterprise Portfolio Analysis 11.7.4. Business Strategy & Recent Development 11.8. Dassault Systemes 11.8.1. Company overview 11.8.2. Financial performance 11.8.3. Enterprise Portfolio Analysis 11.8.4. Business Strategy & Recent Development 11.9. Microsoft Corporation 11.9.1. Company overview 11.9.2. Financial performance 11.9.3. Enterprise Portfolio Analysis 11.9.4. Business Strategy & Recent Development 11.10. AVEVA Group plc 11.10.1. Company overview 11.10.2. Financial performance 11.10.3. Enterprise Portfolio Analysis 11.10.4. Business Strategy & Recent Development 11.11. Hexagon AB 11.11.1. Company overview 11.11.2. Financial performance 11.11.3. Enterprise Portfolio Analysis 11.11.4. Business Strategy & Recent Development List of Tables (62 Tables) TABLE 1. Market, By Enterprise, 2021-2030 (USD Million) TABLE 2. Market FOR Large Enterprises, BY REGION, 2021-2030 (USD Million) TABLE 3. Market FOR Medium Enterprises, BY REGION, 2021-2030 (USD Million) TABLE 4. Market FOR Small Enterprises, BY REGION, 2021-2030 (USD Million) TABLE 5. Market, By Industry, 2021-2030 (USD Million) TABLE 6. Market FOR Infrastructure, BY REGION, 2021-2030 (USD Million) TABLE 7. Market FOR Retail, BY REGION, 2021-2030 (USD Million) TABLE 8. Market FOR Agriculture, BY REGION, 2021-2030 (USD Million) TABLE 9. Market FOR Oil and Gas, BY REGION, 2021-2030 (USD Million) TABLE 10. Market FOR Aerospace, BY REGION, 2021-2030 (USD Million) TABLE 11. Market FOR Telecommunication, BY REGION, 2021-2030 (USD Million) TABLE 12. Market FOR Automotive and Transportation, BY REGION, 2021-2030 (USD Million) TABLE 13. Market FOR Energy and Utilities, BY REGION, 2021-2030 (USD Million) TABLE 14. Market FOR Healthcare, BY REGION, 2021-2030 (USD Million) TABLE 15. Market FOR Other Industries, BY REGION, 2021-2030 (USD Million) TABLE 16. Market, BY APPLICATION, 2021-2030 (USD Million) TABLE 17. Market FOR Product Design, BY REGION, 2021-2030 (USD Million) TABLE 18. Market FOR Product Development, BY REGION, 2021-2030 (USD Million) TABLE 19. Market FOR Inventory Management, BY REGION, 2021-2030 (USD Million) TABLE 20. Market FOR Predictive Maintenance, BY REGION, 2021-2030 (USD Million) TABLE 21. Market FOR Performance Monitoring, BY REGION, 2021-2030 (USD Million) TABLE 22. Market FOR Business Optimization, BY REGION, 2021-2030 (USD Million) TABLE 23. Market FOR Other Applications, BY REGION, 2021-2030 (USD Million) TABLE 24. Market, BY REGION, 2021-2030 (USD Million) TABLE 25. NORTH AMERICA Market, BY COUNTRY, 2021-2030 (USD Million) TABLE 26. NORTH AMERICA Market, By Enterprise, 2021-2030 (USD Million) TABLE 27. NORTH AMERICA Market, By Industry, 2021-2030 (USD Million) TABLE 28. NORTH AMERICA Market, BY APPLICATION, 2021-2030 (USD Million) TABLE 29. EUROPE Market, BY COUNTRY, 2021-2030 (USD Million) TABLE 30. EUROPE Market, By Enterprise, 2021-2030 (USD Million) TABLE 31. EUROPE Market, By Industry, 2021-2030 (USD Million) TABLE 32. EUROPE Market, BY APPLICATION, 2021-2030 (USD Million) TABLE 33. ASIA-PACIFIC Market, BY COUNTRY, 2021-2030 (USD Million) TABLE 34. ASIA-PACIFIC Market, By Enterprise, 2021-2030 (USD Million) TABLE 35. ASIA-PACIFIC Market, By Industry, 2021-2030 (USD Million) TABLE 36. ASIA-PACIFIC Market, BY APPLICATION, 2021-2030 (USD Million) TABLE 37. LAMEA Market, BY COUNTRY, 2021-2030 (USD Million) TABLE 38. LAMEA Market, By Enterprise, 2021-2030 (USD Million) TABLE 39. LAMEA Market, By Industry, 2021-2030 (USD Million) TABLE 40. LAMEA Market, BY APPLICATION, 2021-2030 (USD Million) TABLE 41. ABB.: COMPANY SNAPSHOT TABLE 42. ABB.: OPERATING SEGMENTS TABLE 43. Siemens: COMPANY SNAPSHOT TABLE 44. Siemens: OPERATING SEGMENTS TABLE 45. Oracle Corporation: COMPANY SNAPSHOT TABLE 46. Oracle Corporation: OPERATING SEGMENTS TABLE 47. General Electric: COMPANY SNAPSHOT TABLE 48. General Electric: OPERATING SEGMENTS TABLE 49. IBM Corporation: COMPANY SNAPSHOT TABLE 50. IBM Corporation: OPERATING SEGMENTS TABLE 51. Bosch: COMPANY SNAPSHOT TABLE 52. Bosch: OPERATING SEGMENTS TABLE 53. SAP: COMPANY SNAPSHOT TABLE 54. SAP: OPERATING SEGMENTS TABLE 55. Microsoft Corporation: COMPANY SNAPSHOT TABLE 56. Microsoft Corporation: OPERATING SEGMENTS TABLE 57. AVEVA Group plc.: COMPANY SNAPSHOT TABLE 58. AVEVA Group plc.: OPERATING SEGMENTS TABLE 59. Hexagon AB: COMPANY SNAPSHOT TABLE 60. Hexagon AB: OPERATING SEGMENTS TABLE 61. Dassault Systemes: COMPANY SNAPSHOT TABLE 62. Dassault Systemes: OPERATING SEGMENTS List of Figures (21 Figures) Figure 1 Digital Twin Market: Research Methodology Steps Figure 2 Research Design Figure 3 Breakdown of Primaries: Market Figure 4 Research Methodology: Hypothesis Building Figure 5 Market Enterprise-Based Estimation Figure 6 Top 11 Companies with Highest No. Of Patent in Last 9 Years Figure 7 No. Of Patents Granted Per Year, 2019–2020 Figure 8 Import Data for Digital Twin, By Country, 2016–2020 (USD Thousand) Figure 9 Export Data for Digital Twin, By Country, 2016–2020 (USD Thousand) Figure 10 Data Triangulation Methodology Figure 11 Market, By Industry, 2019 vs 2025 (USD Million) Figure 12 Market Share, By Application, 2019 vs 2025 (USD Million) Figure 13 Market Share, By Enterprise, 2019 vs 2025 (USD Million) Figure 14 Geographical Snapshot of the Market Figure 15 Product Design & Development to Witness Higher CAGR in Market for Application Segment during Forecast Period. Figure 16 Automotive and Transportation to Witness Higher CAGR in the Market for Industry Segment during Forecast Period. Figure 17 North America Region Accounted for the Largest Share of the Market, By Regional Basis, in 2019 Figure 18 Market: Drivers, Restraints, Opportunities, and Challenges Figure 19 North America: Market Snapshot Figure 20 Asia Pacific: Market Snapshot Figure 21 Vendor Dive: Evaluation Overview