The Europe Supply Chain Digital Twin Market would witness market growth of 11.1% CAGR during the forecast period (2023-2030).
The proliferation of data sources, including IoT sensors, RFID tags, and advanced analytics, provides abundant data that can be leveraged to create accurate digital representations of supply chain processes. Due to IoT, cloud computing, and AI developments, digital twins of supply chains are now easier to develop and manage. These technologies enable real-time data capture, analysis, and predictive modeling.
Moreover, SCDTs utilize historical data, market trends, and real-time information to enhance demand forecasting accuracy. This leads to reduced stockouts, excess inventory, and improved customer satisfaction. Accurate representation of inventory positions and stock levels enables just-in-time inventory management, reducing carrying costs and ensuring products are available when needed. SCDTs facilitate scenario analysis and simulations, allowing companies to assess the impact of potential disruptions, reconfigure supply chains, and optimize logistics strategies. Manufacturers can optimize production processes, improve resource allocation, and reduce lead times by integrating production data and schedules into the digital twin.
According to the Germany Trade and Invest of the Government of Germany, Germany is the largest food producer in Europe, and the food and beverage sector is the fourth largest sector in Germany. Almost 6,000 small and medium-sized enterprises (SMEs) are the industry’s most representative. In 2022, they generated a production value of approximately 220 billion euros. In 2022, processed foods and agricultural product exports generated revenues of EUR 76.6 billion, making Germany the world’s third-largest exporter of food and beverages. These factors are expected to boost the expansion of the European market.
The Germany market dominated the Europe Supply Chain Digital Twin Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $363.4 million by 2030. The UK market is exhibiting a CAGR of 10.2% during (2023 - 2030). Additionally, The France market would experience a CAGR of 11.9% during (2023 - 2030).
Based on Enterprise Size, the market is segmented into Large Enterprises and Small & Medium Size Enterprises. Based on Component, the market is segmented into Hardware, Software and Services. Based on Deployment Mode, the market is segmented into On-premise and Cloud. Based on Vertical, the market is segmented into Automotive, Aerospace & Defense, Manufacturing, Pharmaceuticals, Retail, Consumer Goods and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Oracle Corporation, SAP SE, Dassault Systemes SE, Kinaxis, Inc., Schneider Electric SE (AVEVA Group PLC), Siemens AG (Siemens Digital Industries Software), AnyLogic North America, LLC (The AnyLogic Company), Simio LLC and Logivations GmbH
Scope of the Study
By Enterprise Size

  • Large Enterprises
  • Small & Medium Size Enterprises

By Component

  • Hardware
  • Software
  • Services

By Deployment Mode

  • On-premise
  • Cloud

By Vertical

  • Automotive
  • Aerospace & Defense
  • Manufacturing
  • Pharmaceuticals
  • Retail
  • Consumer Goods
  • Others

By Country

  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe

Companies Profiled

  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Dassault Systemes SE
  • Kinaxis, Inc.
  • Schneider Electric SE (AVEVA Group PLC)
  • Siemens AG (Siemens Digital Industries Software)
  • AnyLogic North America, LLC (The AnyLogic Company)
  • Simio LLC
  • Logivations GmbH

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