What is Predictive Twin?
Predictive twins are virtual representations of objects, processes, and systems that exist in real time. While digital twins can represent purely digital objects, they are most often used to connect the physical and digital worlds. A digital twin, for example, could provide a digital view of a factory's operations, a communications network's operations, or the flow of packages through a logistics system. A digital twin implementation is an encapsulated software object or model that mirrors a unique physical object, process, organization, person, or other abstraction. Data from multiple digital twins can be combined to form a composite view of a variety of real-world entities and processes, such as a power plant or a city.
|Unit||Value (USD Million)|
|Key Companies Profiled||Microsoft Corporation (United States), Bosch (Germany), General Electric Company (United States), IBM Corporation (United States), Siemens (Germany), Oracle Corporation (United States), Cisco Systems (United States), Dassault Systemes (France), Ansys (United States) and PTC Inc. (United States)|
The study covers a detailed analysis segmented by key business segments i.e. by type (Component Twins/Parts Twins, Asset Twins, Unit Twins and Process Twins) , by application (Aerospace & Defense, Automotive & Transportation, Machine Manufacturing, Energy & Utilities and Others) and major geographies. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Predictive Twin market throughout the predicted period.
The competition is expected to become even more intense in the years to come due to the entry of several new players in the market. To help clients improve their revenue shares in the market, this research study provides an in-depth analysis of the markets competitive landscape and offers information on the products offered by various leading companies. Additionally, this Predictive Twin market report suggests strategies that Players can follow and highlights key areas they should focus on, in order to take maximum benefits of growth opportunities.
The report offers several leading Players, some of them are Microsoft Corporation (United States), Bosch (Germany), General Electric Company (United States), IBM Corporation (United States), Siemens (Germany), Oracle Corporation (United States), Cisco Systems (United States), Dassault Systemes (France), Ansys (United States) and PTC Inc. (United States).
The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies.
Predictive Twin Market Dynamics:
- Developing Usage Of Connected Devices Across Various Administrations
- Increasing Acceptance Of Iot And Cloud-Based Solutions
- Lack Of Awareness About The Predictive Twin
|Road Blocks / Challenges|
- Lack Of Presence Skilled Workforce & Technical Knowledge
|Gaps & Opportunities|
- Growing Utilization Of Predictive Twin In Supply Chain Management (SCM)
Key highlights of the Global Predictive Twin market Study:
CAGR of the market during the forecast period 2021-2027
In-depth information on growth factors that will accelerate the Predictive Twin market in next few years.
Detailed Insights on futuristic trends and changing consumer behavior
Forecast of the Global Predictive Twin market size and its contribution to the parent market by type, application and by country.
A broad view of customer demand
Uncover markets competitive landscape and in-depth information on various Players
Comprehensive information about factors that will challenge the growth of Predictive Twin Players
Transformation and Important Triggers:
Business transformation has taken hold across the broad corporate landscape due to the confluence of several important triggers, including:
A tipping point in globalization
A major slowdown in Western economies
Significant shifts in technology and cost structure
The challenges of regulatory compliance
New forms of competition developing
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Predictive Twin market.
In order to reach an exhaustive list of functional and relevant players, various industry classification standards are closely followed such as NAICS, ICB, and SIC to penetrate deep into important geographies by players, and a thorough validation test is conducted to reach the most relevant players for survey in Predictive Twin market.
In order to make a priority list sorting is done based on revenue generated based on the latest reporting, using paid databases such as Factiva, Bloomberg, etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment> by targeting key target audience that includes Predictive Twin Developer, New Entrants and Investors, Venture Capitalists, Government Bodies, Corporate Entities, Government and Private Research Organizations and Others.
This helps us to gather the data for the players revenue, operating cycle and expense, profit along with product or service growth, etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that include Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, Annual reports, press releases, etc.