Increasing use of IoT devices is driving significant growth in the global digital twin market, according to a report from Insight Partners.

The digital twin market was valued a $10.3bn in 2023 and is projected to reach $140.9bn by 2031, a CAGR of 38.7%.

The report attributes this growth to the increasing adoption of IoT devices, large-scale digital transformation and Industry 4.0 adoption across enterprises and surging emphasis on predictive maintenance.

The increasing adoption of IoT devices, large-scale digital transformation and Industry 4.0 across enterprises and surging emphasis on predictive maintenance are a few of the significant factors driving the global digital twin market. Furthermore, the integration of AI, AR, VR and other technologies is likely to propel the demand for digital twins in the future.

In general, the digital twin market comprises a vast array of types, enterprise sizes and end users, which are expected to register strength during the coming years.

Recently, there has been a huge surge in the adoption of IoT technologies due to advancements in mobile and wireless connectivity technologies, and a gradual drop in the cost of sensors and other components. Several industries are using IoT to improve efficiency and reduce the costs of their operations.

According to Finance Online, there were approximately 14.8 billion connected IoT devices as of November 2023, and this figure is expected to rise to 25.4 billion by 2030. As per a forecast by IoT Analytics, 75% of the total devices in use will be IoT enabled by 2030. Furthermore, Finley USA estimated the global IoT spending at $1.1tn in 2023.

The use of digital twins is increasing with the surging adoption of IoT. Digital twins require a continuous flow of data to replicate their physical counterparts accurately. IoT devices can fulfil this requirement with built-in sensors. These sensors facilitate real-time data collection from the environment, human interactions or objects’ functions.

Digital twins rely on IoT sensor data to gather information from a real-world object to create the digital-world object. The insights derived from these data allow organisations to react quickly to improve operational efficiency, customer satisfaction and production quality, among others. As IoT devices transmit data, digital twins update the data in real time, which ensures the virtual model is in sync with the physical entity. By leveraging IoT, a digital twin can represent a complex piece of equipment such as a wind turbine and processes such as customer activities in a retail shop. Thus, the increasing adoption of IoT devices drives the digital twin market.

Predictive maintenance is perceived as the most advanced means to manage maintenance within manufacturing plants. This maintenance approach is enabled by the implementation of technologies such as AI, ML, IoT and big data to monitor equipment and check for part failure. Predictive maintenance helps save maintenance costs by selectively detecting the parts that need attention. It also guides organisations to make small repairs in a timely manner, which aids the extended lifecycle of equipment and helps reduce downtime.

A targeted maintenance approach enabled by predictive maintenance reduces unnecessary inspections and repairs and facilitates early intervention to prevent serious and complex problems down the line. Due to such benefits, predictive maintenance has increasingly been used in economically critical industries, such as manufacturing and automotive, in recent years.

In 2023, North America led the digital twin market, followed by Europe and Asia Pacific. Key players include General Electric, Microsoft, Siemens, Dassault Systèmes, PTC, Bosch, IBM, Oracle, Ansys and Autodesk.

In conclusion, digital twin technology is revolutionising various industries, and it has the potential to shape the future of the manufacturing industry. The increasing use of cloud and services, digital transformation measures taken by governments and industrial sectors, and an emphasis on sustainability are a few of the key factors driving the digital twin market growth. The implementation of digital twins helped end users improve their performance, lower operating costs and provide convenience on a number of levels. Further, the integration of AI, AR and VR technologies is expected to bring new digital twin market trends in the coming years.

To read more on the report, download a sample PDF at www.theinsightpartners.com/sample/TIPRE00017045.