Artificial Intelligence and Machine Learning to boost the growth of Digital Twin Market

The global Digital Twin Market is estimated to be valued at US$ 12.26 Bn in 2023 and is expected to exhibit a CAGR of 4.2% over the forecast period 2023 to 2030, as highlighted in a new report published by Coherent Market Insights.

Market Overview:
The digital twin market comprises of products and solutions that create interactive digital replicas of physical assets, processes and systems. Digital twin technology helps improve operational efficiencies, reduce costs and enhance productivity by simulating real-world scenarios. It combines multiple technologies such as IoT, artificial intelligence, machine learning, augmented reality, and analytics to provide insights on physical assets. Digital twins help monitor assets remotely, predict failures, and optimize maintenance strategies which helps lower operational costs for organizations.

Market key trends:
One of the major trend gaining popularity in the Global Digital Twin Market is the increased use of artificial intelligence and machine learning capabilities. AI and ML helps digital twins analyze huge amounts of data from physical assets and connected sensors to identify patterns and predict future behaviors and outcomes. This helps operators take preventive actions and make better decisions. For example, AI-powered digital twins are able to learn from past failure patterns and predict component deterioration over time, allowing maintenance schedules to be customized for each individual asset. As AI and ML technologies continue to advance, they will make digital twins even more powerful predictive and optimization tools.
Porter’s Analysis

Threat of new entrants: Low capital requirements and lack of significant economies of scale help new firms enter the market easily. However, established brand names and customer loyalty to existing market players make entry difficult.

Bargaining power of buyers: Buyers have moderate bargaining power due to availability of substitutes and price sensitivity of customers. However, switching costs and brand loyalty limits bargaining power.

Bargaining power of suppliers: A few technology giants dominate the supply of digital twin solutions, giving them significant bargaining power over buyers. Suppliers can also threaten to integrate forward.

Threat of new substitutes: Moderate threat as technologies like IoT and AI offer substitute solutions. However, switching costs exist as organizations invest in existing digital twin infrastructure.

Competitive rivalry: Intense as technology giants compete to increase market share and develop new capabilities around AI and IoT. Price competition and differentiation strategies lead to tighter competition.

Key Takeaways

The global Digital Twin Market is expected to witness high growth, exhibiting CAGR of 42% over the forecast period, due to increasing demand for predictive maintenance solutions across industrial sectors.

The digital twin market in North America is expected to dominate the global market during the forecast period. This is attributed to technological advancements and rising investments for Industry 4.0 technologies in the region. Additionally, the growth of the automotive industry in Europe and rising adoption of digital twin technology by manufacturing industries are fueling the European market growth.

Key players operating in the digital twin market are SAP SE, Siemens AG, ANSYS, Inc., Hitachi Ltd, and Microsoft Corporation. SAP SE provides industry solution experiences for digital twins. Siemens PLM Software offers NX Virtual Reality for design review and automation. ANSYS offers simulation solutions like ANSYS Twin Builder for development of digital twins. Hitachi provides Lumada manufacturing innovation cloud technologies. Microsoft provides Azure Digital Twins platform for development of IoT solutions.


Read More:

Leave a Reply

© 2023 THEWION - WordPress Theme by WPEnjoy