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Predictive Twin-Global Market Insights and Sales Trends 2024
Synopsis
Predictive twin is a concept that combines digital twin and predictive analytics to create a virtual representation of a physical system or process that can forecast its future behavior and performance. A digital twin is a digital model that simulates the current state and condition of a real-world entity, such as a product, machine, or environment. Predictive analytics is a branch of data analysis that uses statistical methods, machine learning, and artificial intelligence to extract insights and patterns from historical and real-time data. By integrating these two technologies, predictive twin can help optimize the design, operation, maintenance, and decision-making of complex systems or processes .
The global Predictive Twin market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Predictive Twin in various end use industries. The expanding demands from the Aerospace & Defense, Automotive & Transportation, Machine Manufacturing and Energy & Utilities, are propelling Predictive Twin market. Parts Twin, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Product Twin segment is estimated at % CAGR for the next seven-year period.
The industry trend of predictive twin is expected to be positive, as the global market is projected to grow at a CAGR of 15.4% from 2020 to 2025. The main factors driving the market growth are the increasing demand for predictive twin in the industrial, automotive, aerospace, and healthcare sectors, the rising adoption of internet of things (IoT), cloud computing, and big data technologies, and the growing innovation and research in predictive twin applications. Some of the key applications of predictive twin in the industrial sector include production planning, quality control, energy efficiency, and asset management. Predictive twin can help improve the productivity, reliability, and sustainability of industrial processes . In the automotive sector, predictive twin is used for vehicle design, testing, simulation, and optimization. Predictive twin can help enhance the performance, safety, and comfort of vehicles . In the aerospace sector, predictive twin is used for aircraft design, maintenance, flight control, and navigation. Predictive twin can help reduce the cost, risk, and environmental impact of aerospace operations . In the healthcare sector, predictive twin is used for patient diagnosis, treatment, monitoring, and prevention. Predictive twin can help improve the accuracy, effectiveness, and personalization of healthcare services .
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Predictive Twin, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Predictive Twin market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Predictive Twin market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Predictive Twin sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Predictive Twin covered in this report include General Electric(US), PTC(US), Siemens(Germany), Dassault Systèmes(France), IBM Corporation(US), ANSYS(US), Microsoft Corporation(US) and Oracle Corporation(US), etc.
The global Predictive Twin market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
General Electric(US)
PTC(US)
Siemens(Germany)
Dassault Systèmes(France)
IBM Corporation(US)
ANSYS(US)
Microsoft Corporation(US)
Oracle Corporation(US)
Global Predictive Twin market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Predictive Twin market, Segment by Type:
Parts Twin
Product Twin
Process Twin
System Twin
Global Predictive Twin market, by Application
Aerospace & Defense
Automotive & Transportation
Machine Manufacturing
Energy & Utilities
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Predictive Twin companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Predictive twin is a concept that combines digital twin and predictive analytics to create a virtual representation of a physical system or process that can forecast its future behavior and performance. A digital twin is a digital model that simulates the current state and condition of a real-world entity, such as a product, machine, or environment. Predictive analytics is a branch of data analysis that uses statistical methods, machine learning, and artificial intelligence to extract insights and patterns from historical and real-time data. By integrating these two technologies, predictive twin can help optimize the design, operation, maintenance, and decision-making of complex systems or processes .
The global Predictive Twin market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Predictive Twin in various end use industries. The expanding demands from the Aerospace & Defense, Automotive & Transportation, Machine Manufacturing and Energy & Utilities, are propelling Predictive Twin market. Parts Twin, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Product Twin segment is estimated at % CAGR for the next seven-year period.
The industry trend of predictive twin is expected to be positive, as the global market is projected to grow at a CAGR of 15.4% from 2020 to 2025. The main factors driving the market growth are the increasing demand for predictive twin in the industrial, automotive, aerospace, and healthcare sectors, the rising adoption of internet of things (IoT), cloud computing, and big data technologies, and the growing innovation and research in predictive twin applications. Some of the key applications of predictive twin in the industrial sector include production planning, quality control, energy efficiency, and asset management. Predictive twin can help improve the productivity, reliability, and sustainability of industrial processes . In the automotive sector, predictive twin is used for vehicle design, testing, simulation, and optimization. Predictive twin can help enhance the performance, safety, and comfort of vehicles . In the aerospace sector, predictive twin is used for aircraft design, maintenance, flight control, and navigation. Predictive twin can help reduce the cost, risk, and environmental impact of aerospace operations . In the healthcare sector, predictive twin is used for patient diagnosis, treatment, monitoring, and prevention. Predictive twin can help improve the accuracy, effectiveness, and personalization of healthcare services .
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Predictive Twin, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Predictive Twin market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Predictive Twin market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Predictive Twin sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Predictive Twin covered in this report include General Electric(US), PTC(US), Siemens(Germany), Dassault Systèmes(France), IBM Corporation(US), ANSYS(US), Microsoft Corporation(US) and Oracle Corporation(US), etc.
The global Predictive Twin market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
General Electric(US)
PTC(US)
Siemens(Germany)
Dassault Systèmes(France)
IBM Corporation(US)
ANSYS(US)
Microsoft Corporation(US)
Oracle Corporation(US)
Global Predictive Twin market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Predictive Twin market, Segment by Type:
Parts Twin
Product Twin
Process Twin
System Twin
Global Predictive Twin market, by Application
Aerospace & Defense
Automotive & Transportation
Machine Manufacturing
Energy & Utilities
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Predictive Twin companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of Predictive Twin
1.1 Predictive Twin Market Overview
1.1.1 Predictive Twin Product Scope
1.1.2 Predictive Twin Market Status and Outlook
1.2 Global Predictive Twin Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Predictive Twin Market Size by Region (2018-2029)
1.4 Global Predictive Twin Historic Market Size by Region (2018-2023)
1.5 Global Predictive Twin Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Predictive Twin Market Size (2018-2029)
1.6.1 North America Predictive Twin Market Size (2018-2029)
1.6.2 Europe Predictive Twin Market Size (2018-2029)
1.6.3 Asia-Pacific Predictive Twin Market Size (2018-2029)
1.6.4 Latin America Predictive Twin Market Size (2018-2029)
1.6.5 Middle East & Africa Predictive Twin Market Size (2018-2029)
2 Predictive Twin Market by Type
2.1 Introduction
2.1.1 Parts Twin
2.1.2 Product Twin
2.1.3 Process Twin
2.1.4 System Twin
2.2 Global Predictive Twin Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Predictive Twin Historic Market Size by Type (2018-2023)
2.2.2 Global Predictive Twin Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Predictive Twin Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Predictive Twin Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Predictive Twin Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Predictive Twin Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Predictive Twin Revenue Breakdown by Type (2018-2029)
3 Predictive Twin Market Overview by Application
3.1 Introduction
3.1.1 Aerospace & Defense
3.1.2 Automotive & Transportation
3.1.3 Machine Manufacturing
3.1.4 Energy & Utilities
3.1.5 Others
3.2 Global Predictive Twin Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Predictive Twin Historic Market Size by Application (2018-2023)
3.2.2 Global Predictive Twin Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Predictive Twin Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Predictive Twin Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Predictive Twin Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Predictive Twin Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Predictive Twin Revenue Breakdown by Application (2018-2029)
4 Predictive Twin Competition Analysis by Players
4.1 Global Predictive Twin Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Predictive Twin as of 2022)
4.3 Date of Key Players Enter into Predictive Twin Market
4.4 Global Top Players Predictive Twin Headquarters and Area Served
4.5 Key Players Predictive Twin Product Solution and Service
4.6 Competitive Status
4.6.1 Predictive Twin Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 General Electric(US)
5.1.1 General Electric(US) Profile
5.1.2 General Electric(US) Main Business
5.1.3 General Electric(US) Predictive Twin Products, Services and Solutions
5.1.4 General Electric(US) Predictive Twin Revenue (US$ Million) & (2018-2023)
5.1.5 General Electric(US) Recent Developments
5.2 PTC(US)
5.2.1 PTC(US) Profile
5.2.2 PTC(US) Main Business
5.2.3 PTC(US) Predictive Twin Products, Services and Solutions
5.2.4 PTC(US) Predictive Twin Revenue (US$ Million) & (2018-2023)
5.2.5 PTC(US) Recent Developments
5.3 Siemens(Germany)
5.3.1 Siemens(Germany) Profile
5.3.2 Siemens(Germany) Main Business
5.3.3 Siemens(Germany) Predictive Twin Products, Services and Solutions
5.3.4 Siemens(Germany) Predictive Twin Revenue (US$ Million) & (2018-2023)
5.3.5 Dassault Systèmes(France) Recent Developments
5.4 Dassault Systèmes(France)
5.4.1 Dassault Systèmes(France) Profile
5.4.2 Dassault Systèmes(France) Main Business
5.4.3 Dassault Systèmes(France) Predictive Twin Products, Services and Solutions
5.4.4 Dassault Systèmes(France) Predictive Twin Revenue (US$ Million) & (2018-2023)
5.4.5 Dassault Systèmes(France) Recent Developments
5.5 IBM Corporation(US)
5.5.1 IBM Corporation(US) Profile
5.5.2 IBM Corporation(US) Main Business
5.5.3 IBM Corporation(US) Predictive Twin Products, Services and Solutions
5.5.4 IBM Corporation(US) Predictive Twin Revenue (US$ Million) & (2018-2023)
5.5.5 IBM Corporation(US) Recent Developments
5.6 ANSYS(US)
5.6.1 ANSYS(US) Profile
5.6.2 ANSYS(US) Main Business
5.6.3 ANSYS(US) Predictive Twin Products, Services and Solutions
5.6.4 ANSYS(US) Predictive Twin Revenue (US$ Million) & (2018-2023)
5.6.5 ANSYS(US) Recent Developments
5.7 Microsoft Corporation(US)
5.7.1 Microsoft Corporation(US) Profile
5.7.2 Microsoft Corporation(US) Main Business
5.7.3 Microsoft Corporation(US) Predictive Twin Products, Services and Solutions
5.7.4 Microsoft Corporation(US) Predictive Twin Revenue (US$ Million) & (2018-2023)
5.7.5 Microsoft Corporation(US) Recent Developments
5.8 Oracle Corporation(US)
5.8.1 Oracle Corporation(US) Profile
5.8.2 Oracle Corporation(US) Main Business
5.8.3 Oracle Corporation(US) Predictive Twin Products, Services and Solutions
5.8.4 Oracle Corporation(US) Predictive Twin Revenue (US$ Million) & (2018-2023)
5.8.5 Oracle Corporation(US) Recent Developments
6 North America
6.1 North America Predictive Twin Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Predictive Twin Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Predictive Twin Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Predictive Twin Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Predictive Twin Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Predictive Twin Market Dynamics
11.1 Predictive Twin Industry Trends
11.2 Predictive Twin Market Drivers
11.3 Predictive Twin Market Challenges
11.4 Predictive Twin Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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