North America Supply Chain Digital Twin Market Size, Share & Industry Trends Analysis Report By Enterprise Size, By Component (Hardware, Software and Services), By Deployment Mode (On-premise and Cloud), By Vertical, By Country and Growth Forecast, 2023 -

North America Supply Chain Digital Twin Market Size, Share & Industry Trends Analysis Report By Enterprise Size, By Component (Hardware, Software and Services), By Deployment Mode (On-premise and Cloud), By Vertical, By Country and Growth Forecast, 2023 - 2030


The North America Supply Chain Digital Twin Market would witness market growth of 10.7% CAGR during the forecast period (2023-2030).

The concept of a digital twin, initially rooted in manufacturing and product design, has evolved and extended its reach into the complex and interconnected world of supply chain management. The market is experiencing a profound transformation, driven by the increasing need for visibility, agility, and resilience in global supply chains. The adoption of supply chain digital twins (SCDTs) has gained momentum across various industries due to their potential to revolutionize supply chain operations.

SCDTs provide a holistic view of these intricacies, enabling better decision-making. Modern consumers expect quick deliveries and accurate order tracking. SCDTs offer real-time visibility into inventory, shipments, and demand, helping companies meet customer expectations and maintain competitiveness. SCDTs allow companies to simulate and strategize for potential disruptions, enhancing resilience.

As per the Manufacturing Industry Statistics released by the United States National Institute of Standards and Technology, in 2021, manufacturing contributed $2.3 trillion to the U.S. GDP, amounting to 12.0 % of total U.S. GDP. Including direct and indirect (i.e., purchases from other industries) value-added, manufacturing contributed an estimated 24 % of GDP. In 2020, U.S. manufacturing imported 18.2 % of its intermediate goods/services, resulting in 10.6 % foreign output. Moreover, Canada's abundant natural resources, such as minerals, forestry products, and energy resources, have led to a robust processing and manufacturing industry. This includes wood and paper manufacturing, mining and metal processing, and petroleum refining. According to the data provided by the Government of Canada, manufacturing revenues reached $7.7 billion of total $8.3 billion in 2020. These factors will boost the demand for supply chain digital twin in the North America region.

The US market dominated the North America 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 $1,307.6 million by 2030. The Canada market is experiencing a CAGR of 13.2% during (2023 - 2030). Additionally, The Mexico market would exhibit a CAGR of 12.2% 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 U.S., Mexico, Canada, and Rest of North America.

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

Market Segments covered in the Report:

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
  • US
  • Canada
  • Mexico
  • Rest of North America
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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Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America Supply Chain Digital Twin Market, by Enterprise Size
1.4.2 North America Supply Chain Digital Twin Market, by Component
1.4.3 North America Supply Chain Digital Twin Market, by Deployment Mode
1.4.4 North America Supply Chain Digital Twin Market, by Vertical
1.4.5 North America Supply Chain Digital Twin Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2022
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2019, Feb – 2023, May) Leading Players
4.5 Porter’s Five Force Analysis
Chapter 5. North America Supply Chain Digital Twin Market by Enterprise Size
5.1 North America Large Enterprises Market by Region
5.2 North America Small & Medium Size Enterprises Market by Region
Chapter 6. North America Supply Chain Digital Twin Market by Component
6.1 North America Hardware Market by Country
6.2 North America Software Market by Country
6.3 North America Services Market by Country
Chapter 7. North America Supply Chain Digital Twin Market by Deployment Mode
7.1 North America On-premise Market by Country
7.2 North America Cloud Market by Country
Chapter 8. North America Supply Chain Digital Twin Market by Vertical
8.1 North America Automotive Market by Country
8.2 North America Aerospace & Defense Market by Country
8.3 North America Manufacturing Market by Country
8.4 North America Pharmaceuticals Market by Country
8.5 North America Retail Market by Country
8.6 North America Consumer Goods Market by Country
8.7 North America Others Market by Country
Chapter 9. North America Supply Chain Digital Twin Market by Country
9.1 US Supply Chain Digital Twin Market
9.1.1 US Supply Chain Digital Twin Market by Enterprise Size
9.1.2 US Supply Chain Digital Twin Market by Component
9.1.3 US Supply Chain Digital Twin Market by Deployment Mode
9.1.4 US Supply Chain Digital Twin Market by Vertical
9.2 Canada Supply Chain Digital Twin Market
9.2.1 Canada Supply Chain Digital Twin Market by Enterprise Size
9.2.2 Canada Supply Chain Digital Twin Market by Component
9.2.3 Canada Supply Chain Digital Twin Market by Deployment Mode
9.2.4 Canada Supply Chain Digital Twin Market by Vertical
9.3 Mexico Supply Chain Digital Twin Market
9.3.1 Mexico Supply Chain Digital Twin Market by Enterprise Size
9.3.2 Mexico Supply Chain Digital Twin Market by Component
9.3.3 Mexico Supply Chain Digital Twin Market by Deployment Mode
9.3.4 Mexico Supply Chain Digital Twin Market by Vertical
9.4 Rest of North America Supply Chain Digital Twin Market
9.4.1 Rest of North America Supply Chain Digital Twin Market by Enterprise Size
9.4.2 Rest of North America Supply Chain Digital Twin Market by Component
9.4.3 Rest of North America Supply Chain Digital Twin Market by Deployment Mode
9.4.4 Rest of North America Supply Chain Digital Twin Market by Vertical
Chapter 10. Company Profiles
10.1 IBM Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent strategies and developments:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.6 SWOT Analysis
10.2 Oracle Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expense
10.2.5 Recent strategies and developments:
10.2.5.1 Partnerships, Collaborations, and Agreements:
10.2.6 SWOT Analysis
10.3 SAP SE
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expenses
10.3.5 Recent strategies and developments:
10.3.5.1 Partnerships, Collaborations, and Agreements:
10.3.6 SWOT Analysis
10.4 Dassault Systemes SE
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Product Category and Regional Analysis
10.4.4 Research & Development Expense
10.4.5 Recent strategies and developments:
10.4.5.1 Partnerships, Collaborations, and Agreements:
10.4.6 SWOT Analysis
10.5 Kinaxis, Inc.
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Regional Analysis
10.5.4 Research & Development Expenses
10.5.5 SWOT Analysis
10.6 Schneider Electric SE (AVEVA Group PLC)
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expense
10.6.5 Recent strategies and developments:
10.6.5.1 Partnerships, Collaborations, and Agreements:
10.6.5.2 Product Launches and Product Expansions:
10.6.6 SWOT Analysis
10.7 Siemens AG (Siemens Digital Industries Software)
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental and Regional Analysis
10.7.4 Research & Development Expense
10.7.5 Recent strategies and developments:
10.7.5.1 Partnerships, Collaborations, and Agreements:
10.7.5.2 Acquisition and Mergers:
10.7.6 SWOT Analysis
10.8 AnyLogic North America, LLC (The AnyLogic Company)
10.8.1 Company Overview
10.8.2 SWOT Analysis
10.9 Simio LLC
10.9.1 Company Overview
10.9.2 SWOT Analysis
10.10. Logivations GmbH
10.10.1 Company Overview
10.10.2 SWOT Analysis

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