A Digital Twin is a virtual representation of a connected physical product, process or service across its whole lifecycle. The virtual replica uses operational real-time data to enable the detection of issues and advance learning. It's also used in simulation scenarios for the physical model counterpart. Digital business enablers, such as big data, machine learning, artificial intelligence, software analytics and cloud solutions, as well as the growing demand for sensors to capture and process data, have been significant drivers for the adoption of Digital Twin applications. Digital Twin Market Development According to the latest worldwide market study by Juniper Research, revenues from Digital Twin applications will reach $13 billion by 2023. Recent market growth is estimated at $9.8 billion in 2019 -- with an average annual growth rate of 35 percent during the forecast period. The research found that increased deployments of advanced sensors to capture data, and technolog...
TMT Market Research Summaries and Analysis