Market Overview:
The global predictive twin market is expected to grow at a CAGR of 7.5% during the forecast period from 2018 to 2030. The market growth can be attributed to the increasing demand for predictive maintenance across different industries and the rising adoption of big data and analytics. Based on type, the global predictive twin market is segmented into parts twin, product twin, process twin, and system twins. The parts twins segment is expected to hold the largest share of the global predictive Twin market in 2018 owing to its ability to detect defects in components and identify potential failure points before they occur. By application, the aerospace & defense sector is expected to account for the largest share ofthe global predictive Twin market in 2018 followed by automotive & transportation and machine manufacturing sectors respectively.
Product Definition:
A predictive twin is a copy of an original software program that has been modified to predict the behavior of the original program. The purpose of a predictive twin is to help developers test and debug programs, and to help end users understand how the program will behave.
Parts Twin:
The Parts Twin market is expected to witness significant growth over the forecast period. The major factor driving this market is increasing demand for next-generation sequencing (NGS) technology coupled with a rise in the number of research studies using DNA and RNA samples. Moreover, technological advancements such as high-throughput sequencers, multiplexing & data analysis tools are also contributing to the growth of this market.
The Parts Twin Market has been segmented on the basis of products.
Product Twin:
Product twin is a mirror image of the product, which is created for testing purposes. It's an exact replica of the actual product and is used by companies to test their products before selling them in the market. Product twins help companies determine if their products are compatible with other devices or systems. They also help determine if there are any design flaws in a product that would not be visible during normal use.
Companies can create multiple prototypes using 3D printing technology.
Application Insights:
The aerospace & defense application segment accounted for the largest market share in 2017 and is expected to continue its dominance over the forecast period. Predictive twins are used in various applications of the aviation industry, such as aircraft design, manufacturing and maintenance. The system twin concept is gaining popularity in this sector owing to its ability to provide benefits such as improved reliability, reduced downtime and cost savings.
Automotive & transportation was one of the fastest-growing segments with a CAGR of XX% from 2018 to 2030 during the study period owing to factors such as increasing demand for passenger cars across several countries worldwide including China, India Japan Australia etc., coupled with technological advancements that have revolutionized vehicle safety systems over recent years. Predictive tools help manufacturers improve quality by identifying problems before they occur; this factor is anticipated to drive product adoption across automotive & transportation applications during future phases of development or production cycles.
Regional Analysis:
North America dominated the global market in terms of revenue share in 2017. The growth can be attributed to the presence of major aircraft manufacturers such as Boeing and Airbus, which have been using predictive twins for designing better aircraft models. Europe is expected to witness significant growth over the forecast period owing to an increase in investments made by prominent players operating across this region. For instance, In January 2018, Siemens created a new business unit called Digital Factory that uses big data analytics and advanced machine learning technologies for improving manufacturing processes across various industries including automotive and aerospace & defense.
Asia Pacific is anticipated to register substantial CAGR over the forecast period owing to increasing adoption of Predictive Analytics throughout several Asian countries especially China.
Growth Factors:
- Increasing demand for personalized medicine
- Growing popularity of precision medicine
- Rising prevalence of chronic diseases
- Advances in big data and analytics technologies
- Proliferation of genomics research
Scope Of The Report
Report Attributes
Report Details
Report Title
Predictive Twin Market Research Report
By Type
Parts Twin, Product Twin, Process Twin, System Twin
By Application
Aerospace & Defense, Automotive & Transportation, Machine Manufacturing, Energy & Utilities, Others
By Companies
General Electric(US), PTC(US), Siemens(Germany), Dassault Systèmes(France), IBM Corporation(US), ANSYS(US), Microsoft Corporation(US), Oracle Corporation(US)
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
198
Number of Tables & Figures
139
Customization Available
Yes, the report can be customized as per your need.
Global Predictive Twin Market Report Segments:
The global Predictive Twin market is segmented on the basis of:
Types
Parts Twin, Product Twin, Process Twin, System Twin
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Aerospace & Defense, Automotive & Transportation, Machine Manufacturing, Energy & Utilities, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- General Electric(US)
- PTC(US)
- Siemens(Germany)
- Dassault Systèmes(France)
- IBM Corporation(US)
- ANSYS(US)
- Microsoft Corporation(US)
- Oracle Corporation(US)
Highlights of The Predictive Twin Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Parts Twin
- Product Twin
- Process Twin
- System Twin
- By Application:
- Aerospace & Defense
- Automotive & Transportation
- Machine Manufacturing
- Energy & Utilities
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Predictive Twin Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
A predictive twin is a pair of siblings who share 100% of their genetic makeup. This means that if one twin has a condition, the other twin likely also has the same condition. Predictive twins can help scientists better understand how genes influence health and disease.
Some of the major players in the predictive twin market are General Electric(US), PTC(US), Siemens(Germany), Dassault Syst¨mes(France), IBM Corporation(US), ANSYS(US), Microsoft Corporation(US), Oracle Corporation(US).
The predictive twin market is expected to register a CAGR of 7.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Predictive Twin Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Predictive Twin Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Predictive Twin Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Predictive Twin Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Predictive Twin Market Size & Forecast, 2018-2028
4.5.1 Predictive Twin Market Size and Y-o-Y Growth
4.5.2 Predictive Twin Market Absolute $ Opportunity
Chapter 5 Global Predictive Twin Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Predictive Twin Market Size Forecast by Type
5.2.1 Parts Twin
5.2.2 Product Twin
5.2.3 Process Twin
5.2.4 System Twin
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Predictive Twin Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Predictive Twin Market Size Forecast by Applications
6.2.1 Aerospace & Defense
6.2.2 Automotive & Transportation
6.2.3 Machine Manufacturing
6.2.4 Energy & Utilities
6.2.5 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Predictive Twin Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Predictive Twin Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Predictive Twin Analysis and Forecast
9.1 Introduction
9.2 North America Predictive Twin Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Predictive Twin Market Size Forecast by Type
9.6.1 Parts Twin
9.6.2 Product Twin
9.6.3 Process Twin
9.6.4 System Twin
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Predictive Twin Market Size Forecast by Applications
9.10.1 Aerospace & Defense
9.10.2 Automotive & Transportation
9.10.3 Machine Manufacturing
9.10.4 Energy & Utilities
9.10.5 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Predictive Twin Analysis and Forecast
10.1 Introduction
10.2 Europe Predictive Twin Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Predictive Twin Market Size Forecast by Type
10.6.1 Parts Twin
10.6.2 Product Twin
10.6.3 Process Twin
10.6.4 System Twin
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Predictive Twin Market Size Forecast by Applications
10.10.1 Aerospace & Defense
10.10.2 Automotive & Transportation
10.10.3 Machine Manufacturing
10.10.4 Energy & Utilities
10.10.5 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Predictive Twin Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Predictive Twin Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Predictive Twin Market Size Forecast by Type
11.6.1 Parts Twin
11.6.2 Product Twin
11.6.3 Process Twin
11.6.4 System Twin
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Predictive Twin Market Size Forecast by Applications
11.10.1 Aerospace & Defense
11.10.2 Automotive & Transportation
11.10.3 Machine Manufacturing
11.10.4 Energy & Utilities
11.10.5 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Predictive Twin Analysis and Forecast
12.1 Introduction
12.2 Latin America Predictive Twin Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Predictive Twin Market Size Forecast by Type
12.6.1 Parts Twin
12.6.2 Product Twin
12.6.3 Process Twin
12.6.4 System Twin
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Predictive Twin Market Size Forecast by Applications
12.10.1 Aerospace & Defense
12.10.2 Automotive & Transportation
12.10.3 Machine Manufacturing
12.10.4 Energy & Utilities
12.10.5 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Predictive Twin Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Predictive Twin Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Predictive Twin Market Size Forecast by Type
13.6.1 Parts Twin
13.6.2 Product Twin
13.6.3 Process Twin
13.6.4 System Twin
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Predictive Twin Market Size Forecast by Applications
13.10.1 Aerospace & Defense
13.10.2 Automotive & Transportation
13.10.3 Machine Manufacturing
13.10.4 Energy & Utilities
13.10.5 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Predictive Twin Market: Competitive Dashboard
14.2 Global Predictive Twin Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 General Electric(US)
14.3.2 PTC(US)
14.3.3 Siemens(Germany)
14.3.4 Dassault Systèmes(France)
14.3.5 IBM Corporation(US)
14.3.6 ANSYS(US)
14.3.7 Microsoft Corporation(US)
14.3.8 Oracle Corporation(US)
