Asia Pacific Predictive Twin Market Analysis, 2020

By Product Type (Parts Twin, Product Twin, Process Twin, System Twin), By Deployment (Cloud, Hybrid, On- Premise), By Application (Machine and Equipment Health Monitoring, Predicti...ve Maintenance, Dynamic Optimization), By End Users (Aerospace & Defense, Automotive, Agriculture, Healthcare & Pharma, Others), By Country (China, Japan, South Korea), By Company Read more

ICT & Electronics
Apr 2020
Pages 167
Report Format: PDF, Excel, PPT

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The Asia Predictive Twin Market Analysis, 2020 research report depicts a deep-dive market analysis of statistics of Asia Predictive Twin market which consists of country-wise market size, market forecast, CAGR market segmentation, market shares of diverse countries, market share of various product type, deployment, applications, end users, etc.

According to MarkNtel Advisors’ research report titled “Asia Predictive Twin Market Analysis, 2020”, the Predictive Twin market is forecast to grow at the exponential CAGR during 2020-25. The major key contributing factors for the growth of the Asia Predictive Twin market is increasing digitalization in the industrial sector. Moreover, the manufacturing sector, automotive, energy, etc., are also deploying IoT-based solutions which are resulting in the growth in the market of Predictive Twins in Asia.

Furthermore, due to government initiatives such as “Make in India”, and “Made in China 2025”, with the aim of increasing the market share of the manufacturing sector across the globe, the demand for predictive twins is expected to witness robust growth in the forecast period too.

China Acquired Lion’s Share in 2019

In 2019, China captured the major market share in the Asia Predictive Twin market. The market share of the country witnessing a robust growth on an account of increasing IoT investments. For instance, in 2020, Xiaomi announced to invest USD 7.17 billion in the next five years in technologies such as IoT, AI, and 5G. Also, the rapid industrialization in the country and the growing digitalization is emerging as a need for predictive twin in the country. Furthermore, the cloud deployment acquired the major share in 2019, due to the benefits such as cost-effective, flexibility and Collaboration efficiency.

Machine and Equipment Health Monitoring Dominated the Market in 2019

In 2019, the machine and equipment health monitoring segment acquired the major market share owing to the increasing need for reducing unplanned downtime to maintain smooth operations. Also, few the other factors such as the need for cost and time management are amongst growth contributors due to which the market share of machine and equipment segment is increasing. However, the end-users are shifting toward the adoption of predictive maintenance solutions for the same. So, it is expected that this would be emerging technology in Asia-Pacific Predictive Twin market in forecast period of 2020-25, as revealed by the MarkNtel Advisors’ research report “Asia Predictive Twin Market Analysis, 2020”.

According to MarkNtel Advisors, the Asia-Pacific Predictive Twin market in highly consolidated, however, the companies are entering in this industry to offer the solution to the industries. The key players with a considerable market share in the Asia Predictive Twin market are General Electric, PTC, Siemens, Dassault Systems, IBM Corporation, ANSYS, Microsoft Corporation and Oracle Corporation.

Key Questions Answered in the Market Research Report

What are the key overall market statistics or market estimates (Market Overview, Market Size- By Value, Forecast Numbers, Market Segmentation, Market Shares) of Asia Pacific Predictive Twin?
What are the country wise industry size, growth drivers and challenges and key market trends?
What are the key innovations, technology upgrades, opportunities, regulations, growth drivers and challenges in Asia Pacific Predictive Twin market?
Who are the key competitors or market players and how they perform in Asia Pacific Predictive Twin competitor benchmarking matrix?
What are the key results derived from the market surveys conducted during the course of Asia Pacific Predictive Twin market study?

Market Outlook, Segmentation and Statistics

Market Size & Analysis
- Revenues
Market Share & Analysis
- By Product Type
  - Parts Twin
  - Product Twin
  - Process Twin
  - System Twin
- By Deployment
  - Cloud
  - On-Premise
  - Hybrid
- By Application
  - Machine and Equipment Health Monitoring
  - Predictive Maintenance
  - Dynamic Optimization
- By End-Users
  - Manufacturing
  - Agriculture
  - Automotive and Transportation
  - Energy and Utilities
  - Aerospace and Defense
  - Others
- By Countries
  - China
  - Japan
  - South Korea
  - Others
- By Company
  - Market Shares, By Revenue
  - Strategic Factorial Indexing
  - Competitor Placement in MarkNtel Quadrant
China Predictive Twin Market Outlook, 2015-2025F (USD Million)
South Korea Predictive Twin Market Outlook, 2015-2025F (USD Million)
Japan Predictive Twin Market Outlook, 2015-2025F (USD Million)
Asia Predictive Twin Market Policies, Regulations, Product Standard
Asia Predictive Twin Market Intellectual Property Rights Analysis
Asia Predictive Twin Market Hotspots & Opportunities
Competition Outlook
- Competition Matrix
- Company Profiles

Frequently Asked Questions

A. The historical data has been provided since 2015, while the base year is 2019 and the data is forecast up-to 2025.

A. The market size/industry size or the market value is measured in terms of USD Million.

A. The CAGR of Asia Predictive Twin Market during 2020-25 is forecast to be more than 30%.

A. It is forecast that China will dominate the market with majority market share, with market size registering considerably higher CAGR during 2020-25.

A. General Electric, PTC, Siemens, Dassault Systems, IBM Corporation, ANSYS, Microsoft Corporation and Oracle Corporation, etc., are few of the leading players in the Asia Pacific Predictive Twin Market.

A. Machine and Equipment Health Monitoring is expected to attain the highest CAGR during the forecast period and maintain its significant market share.

A. The aerospace and defense along with automotive sector grabbed a significant market share continue to grow at a highest CAGR, presenting immense opportunities for manufacturers and suppliers of Asia Pacific Predictive Twin Market.

Introduction
1. Market Segmentation
2. Product Definition
3. Research Process
4. Assumptions
Executive Summary
Regional Market Overview
Expert Verbatim- What our Experts Say?
Asia Pacific Predictive Twin Market Analysis, 2015-2025F
1. Market Size & Analysis
  1. Revenues
2. Market Share & Analysis
  1. By Product Type
    1. Parts Twin
    2. Product Twin
    3. Process Twin
    4. System Twin
  2. By Deployment
    1. Cloud
    2. On-Premise
    3. Hybrid
  3. By Application
    1. Machine and Equipment Health Monitoring
    2. Predictive Maintenance
    3. Dynamic Optimization
  4. By End-Users
    1. Healthcare & Pharma
    2. Agriculture
    3. Automotive and Transportation
    4. Energy and Utilities
    5. Aerospace and Defense
    6. Others
  5. By Countries
    1. China
    2. South Korea
    3. Japan
    4. Others
  6. By Company
    1. Market Shares, By Revenue
    2. Strategic Factorial Indexing
    3. Competitor Placement in MarkNtel Quadrant
  7. Market Attractiveness Index
    1. By Product Type
    2. By Deployment
    3. By Application
    4. By End-User Type
    5. By Countries
China Predictive Twin Market Analysis, 2015-2025F
1. Market Size & Analysis
  1. Revenues
2. Market Share & Analysis
  1. By Product Type
  2. By Deployment
  3. By Application
  4. By End Users Type
3. Market Attractiveness Index
  1. By Product Type
  2. By Deployment
  3. By Application
  4. By End-User Type
South Korea Predictive Twin Market Analysis, 2015-2025F
1. Market Size & Analysis
  1. Revenues
2. Market Share & Analysis
  1. By Product Type
  2. By Deployment
  3. By Application
  4. By End Users Type
3. Market Attractiveness Index
  1. By Product Type
  2. By Deployment
  3. By Application
  4. By End-User Type
Japan Predictive Twin Market Analysis, 2015-2025F
1. Market Size & Analysis
  1. Revenues
2. Market Share & Analysis
  1. By Product Type
  2. By Deployment
  3. By Application
  4. By End Users Type
3. Market Attractiveness Index
  1. By Product Type
  2. By Deployment
  3. By Application
  4. By End-User Type
Asia Pacific Predictive Twin Market Policies, Regulations, Product Standards
Asia Pacific Predictive Twin Market Trends & Insights
Asia Pacific Predictive Twin Market Dynamics
1. Growth Drivers
2. Challenges
3. Impact Analysis
Asia Pacific Predictive Twin Market Hotspot & Opportunities
Asia Pacific Predictive Twin Market Key Strategic Imperatives for Success & Growth
Competition Outlook
1. Competition Matrix
  1. Service Portfolio
  2. Target Markets
  3. Target End Users
  4. Research & Development
  5. Strategic Alliances
  6. Strategic Initiatives
2. Company Profiles of top companies (Business Description, Product Segments, Business Segments, Financials, Strategic Alliances/ Partnerships, Future Plans)
  1. General Electric
  2. PTC
  3. Siemens
  4. Dassault Systems
  5. IBM Corporation
  6. ANSYS
  7. Microsoft Corporation
  8. Oracle Corporation
  9. SAP
Disclaimer

MarkNtel Advisors follows a robust and iterative research methodology designed to ensure maximum accuracy and minimize deviation in market estimates and forecasts. Our approach combines both bottom-up and top-down techniques to effectively segment and quantify various aspects of the market. A consistent feature across all our research reports is data triangulation, which examines the market from three distinct perspectives to validate findings. Key components of our research process include:

1. Scope & Research Design At the outset, MarkNtel Advisors define the research objectives and formulate pertinent questions. This phase involves determining the type of research—qualitative or quantitative—and designing a methodology that outlines data collection methods, target demographics, and analytical tools. They also establish timelines and budgets to ensure the research aligns with client goals.

2. Sample Selection and Data Collection In this stage, the firm identifies the target audience and determines the appropriate sample size to ensure representativeness. They employ various sampling methods, such as random or stratified sampling, based on the research objectives. Data collection is carried out using tools like surveys, interviews, and observations, ensuring the gathered data is reliable and relevant.

3. Data Analysis and Validation Once data is collected, MarkNtel Advisors undertake a rigorous analysis process. This includes cleaning the data to remove inconsistencies, employing statistical software for quantitative analysis, and thematic analysis for qualitative data. Validation steps are taken to ensure the accuracy and reliability of the findings, minimizing biases and errors.

4. Data Forecast and FinalizationThe final phase involves forecasting future market trends based on the analyzed data. MarkNtel Advisors utilize predictive modeling and time series analysis to anticipate market behaviors. The insights are then compiled into comprehensive reports, featuring visual aids like charts and graphs, and include strategic recommendations to inform client decision-making

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