During the forecast period, the market for digital twin financial services and insurance is predicted to rise substantially. Digital twin technology has witnessed tremendous advancements in its capabilities thanks to the assistance of growing technologies such as artificial intelligence (AI), big data, the internet of things (IoT), and computing power. Machine learning, which uses data to model and predict future asset conditions and performance, is propelling the technology forward. The increased usage of digital twins in the energy sector is expected to hasten the transition to renewable energy and pave the way for net-zero emissions.
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Data Bridge Market Research analyses that the Digital Twin Financial Services and Insurance Market was valued at USD 3.61 billion in 2021 and is expected to reach USD 12.07 billion by 2029, registering a CAGR of 16.30% during the forecast period of 2022 to 2029. The growing usage of internet services and rising demand from diverse end users are important factors driving the expansion of the digital twin financial services and insurance sector.
Growing demand for cloud services by banking and financial services industry is expected to drive the market's growth rate
Some technology businesses make significant expenditures in cloud-based platforms, IoT, and analytics. Although digital twin technologies have been used to recreate the physical world for many years, new advances necessitate a second look at existing capabilities. The combination of low-cost sensors and IoT, machine learning, and the cloud's quick, frictionless nature enables more complex analytics and real-time simulations. As a result, the increased adoption of cloud platforms in banking and financial industries is fueling market expansion.
Report Scope and Market Segmentation
Report Metric
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Details
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Forecast Period
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2022 to 2029
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Base Year
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2021
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Historic Years
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2020 (Customizable to 2014- 2019)
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Quantitative Units
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Revenue in USD Billion, Volumes in Units, Pricing in USD
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Segments Covered
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Type (System Digital Twin, Process Digital Twin and Product Digital Twin), Deployment (Cloud and On-Premises), Application (Bank Account Funds Checking, Digital Fund Transfer Checks, Policy Generation and Others), Technology (IOT and IIOT, Artificial Intelligence and Machine Learning, 5G, Big Data Analytics, Blockchain and Augmented Reality, Virtual Reality, and Mixed Reality)
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Countries Covered
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U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America
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Market Players Covered
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General Electric (U.S.), IBM (U.S.), PTC (U.S.), Microsoft (U.S.), Siemens AG (Germany), ANSYS, Inc (U.S.), SAP SE (Germany), Oracle (U.S.), Robert Bosch GmbH (Germany), Swim.ai, Inc. (U.S.)., Atos SE (France), ABB (Switzerland), KELLTON TECH (India), AVEVA Group plc (U.K.), DXC Technology Company (U.S.), Altair Engineering, Inc (U.S.), Hexaware Technologies Limited (India), Tata Consultancy Services Limited (India), Infosys Limited (Bengaluru), NTT DATA, Inc. (Japan), TIBCO Software Inc. (U.S.)
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Data Points Covered in the Report
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In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis
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Segment Analysis:
Global digital twin financial services and insurance market is segmented into four notable segments which are based on the basis of type, technology, deployment and application.
- On the basis of type, the global digital twin financial services and insurance market is segmented into system digital twin, process digital twin and product digital twin. The system digital twin segment is expected to dominate the global digital twin financial services and insurance market with 48.28% market share due to the growing usage of laptops and servers in the workplace for storing and maintenance of large data sets in the organization that is driving the demand of the digital twin system.
- On the basis of technology, the global digital twin financial services and insurance market is segmented into IOT and IIOT, artificial intelligence and machine learning, big data analytics, 5G, blockchain, augmented reality, virtual reality, and mixed reality. The IOT and IIOT segment is expected to dominate the global digital twin financial services and insurance market with 30.29% market share due to integration of all the resources on a single platform and forecasting of customer needs through the data collected. It further supports in improved decision making and enhanced efficiency of risk management.
- On the basis of deployment, the global digital twin financial services and insurance market is segmented into cloud and on-premises. The cloud segment is expected to dominate the global digital twin financial services and insurance market with 66.46% market share. This is mainly due to the increasing focus of the banking industry toward the cloud database, shift toward digitization, improved customer relations, rising trend of internet of things (IoT) technology, the surging requirement for gathering and analyzing real-time data to anticipate potential issues and reduce risks.
The cloud segment will dominate the deployment segment of the digital twin financial services and insurance market
The cloud segment will emerge as the dominating segment under deployment with approximately 66.00% market share. This is because of the growing number of infrastructural development activities in the market especially in the developing economies. Further, growth and expansion of the ICT industry all around the globe will further bolster the growth of this segment.
- On the basis of application, the global digital twin financial services and insurance market is segmented into bank account fund checking, digital fund transfer checks, policy generation and others. The bank account fund checking segment is expected to dominate the global digital twin financial services and insurance market with 38.30% market share. This is due to reduced operational expenditure for banks, improved customer experience management, hanging consumer behaviour towards adopting digital banking services, and switching towards profitable operating models.
The bank account fund checking segment will dominate the application segment of the digital twin financial services and insurance market
The bank account fund checking segment will emerge as the dominating segment under application segment. This is because of the growing number of technological advancements in the market especially in the developing economies. Further, growth and expansion of research development services on a global scale will further bolster the growth of this segment.
Major Players
Data Bridge Market Research recognizes the following companies as the major market players: General Electric (U.S.), IBM (U.S.), PTC (U.S.), Microsoft (U.S.), Siemens AG (Germany), ANSYS, Inc (U.S.), SAP SE (Germany), Oracle (U.S.), Robert Bosch GmbH (Germany), Swim.ai, Inc. (U.S.)., Atos SE (France), ABB (Switzerland), KELLTON TECH (India), AVEVA Group plc (U.K.), DXC Technology Company (U.S.), Altair Engineering, Inc (U.S.), Hexaware Technologies Limited (India), Tata Consultancy Services Limited (India), Infosys Limited (Bengaluru), NTT DATA, Inc. (Japan), TIBCO Software Inc. (U.S.).
Market Development
- In 2022, Google Cloud introduced a supply chain digital twin in January, with the goal of providing distributors and manufacturers with unprecedented visibility into operations occurring in their supply chains. Such inventive solutions, as well as the increased desire for automation across industries, are expected to drive demand for the digital twin platform.
- In 2021, Dassault Systèmes established a relationship with Renault Group in December. The collaboration planned to use Dassault Systèmes' 3DEXPERIENCE cloud platform to build programmes for new vehicles and other mobility services. The technology would be used by Renault Group to manage virtual twins of its product configurations.
Regional Analysis
Geographically, the countries covered in the market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
As per Data Bridge Market Research analysis:
North America is the dominant region in the digital twin financial services and insurance market during the forecast period 2022-2029
North America dominates the digital twin financial services and insurance market in terms of market share and revenue, and this dominance is expected to remain during the projected period. The United States accounted for the greatest market share for the digital twin financial services and insurance organization size sector because to the strong presence of major organizations as well as system, process, and product digital twin in the country.
Europe is estimated to be the fastest growing region in the digital twin financial services and insurance market in the forecast period 2022-2029
Europe, on the other hand, is expected to have the highest growth rate between 2022 and 2029. Germany has the second largest market share in Europe for organization size digital twin financial services and insurance infrastructure due to the availability of advanced digital analytics, artificial intelligence, and machine learning.
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