Supply Chain Digital Twin Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

Description

The Global Supply Chain Digital Twin Market size is anticipated to witness over 12.5% CAGR between 2024 and 2032 led by a growing demand for improved visibility and optimization in supply chain operations. Digital twins serve as real-time virtual replicas of supply chain processes, allowing companies to simulate scenarios, forecast outcomes, and pinpoint inefficiencies. This empowers organizations to make informed decisions, streamline operations, and enhance overall supply chain performance.

Technological advancements, particularly in IoT, big data analytics, and AI, are propelling this market growth. These innovations not only integrate diverse data sources but also boost the accuracy and functionality of digital twins. Moreover, the rise of smart sensors and interconnected devices bolsters the creation of intricate and adaptive digital models. For example, in September 2021, Google Cloud launched Supply Chain Twin, merging data from multiple sources for a holistic view of suppliers, inventories, and other crucial metrics.

The industry is divided into component, enterprise size, deployment mode, industry vertical, and region.

Based on component, the supply chain digital twin market size from the software segment is slated to witness substantial growth during 2024-2032. This surge is attributed to the pivotal role of the software in crafting, managing, and analyzing digital representations of supply chain processes. Cutting-edge software solutions harness real-time data from diverse sources, paving the way for precise and evolving digital twins.

In terms of deployment mode, the supply chain digital twin market from the on-premises segment is may accrue a robust CAGR during 2024-2032. This trend is driven by benefits like enhanced data security, tailored customization, and seamless integration. On-premises setups grant organizations superior control over their digital twin landscapes, enabling bespoke configurations and safeguarding sensitive supply chain information.

Asia Pacific supply chain digital twin industry is anticipated to record considerable growth through 2032 attributed to rapid industrialization, increasing adoption of advanced technologies, and the need for efficient supply chain management. The burgeoning manufacturing and logistics sectors are under pressure to enhance operational efficiency and resilience amid complex global supply chains, further stimulating regional market growth.

Product Code: 10302

Chapter 1 Methodology and Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimation
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market scope and definition

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2018 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Platform provider
- 3.2.2 Automation companies
- 3.2.3 Distribution
- 3.2.4 End user
3.3 Profit margin analysis
3.4 Technology innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Increasing adoption of digital technologies
  - 3.8.1.2 Growing complexities of supply chains
  - 3.8.1.3 Rising costs and risks in supply chains
  - 3.8.1.4 Growing adoption of cloud computing
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 High cost of implementation
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share
4.3 Competitive analysis of major market players
4.4 Competitive positioning matrix
4.5 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, by Component, 2021-2032 ($Mn)

5.1 Key trends
5.2 Software
5.3 Services

Chapter 6 Market Estimates and Forecast, by Enterprise Size, 2021-2032 ($Mn)

6.1 Key trends
6.2 SME
6.3 Large enterprises

Chapter 7 Market Estimates and Forecast, By Deployment Mode, 2021-2032 ($Mn)

7.1 Key trends
7.2 Cloud
7.3 On-premises

Chapter 8 Market Estimates and Forecast, By Industry Vertical, 2021-2032 ($Mn)

8.1 Key trends
8.2 Automotive
8.3 Manufacturing
8.4 Aerospace and defense
8.5 Retail
8.6 Pharmaceuticals
8.7 Consumer goods
8.8 Others

Chapter 9 Market Estimates and Forecast, By Region, 2021-2032 ($Mn)

9.1 Key trends
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
9.3 Europe
- 9.3.1 UK
- 9.3.2 Germany
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Nordics
- 9.3.7 Rest of Europe
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 South Korea
- 9.4.5 Australia
- 9.4.6 Southeast Asia
- 9.4.7 Rest of APAC
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Argentina
- 9.5.4 Rest of LATAM
9.6 MEA
- 9.6.1 South Africa
- 9.6.2 UAE
- 9.6.3 Saudi Arabia
- 9.6.4 Rest of MEA

Chapter 10 Company Profiles

10.1 AVEVA
10.2 Blue Yonder
10.3 Cognition Factory
10.4 Coupa
10.5 Dassault Systemes
10.6 Datumix
10.7 Google
10.8 IBM Corporation
10.9 Kinaxis
10.10 Korber
10.11 Logivations
10.12 Manhattan Associates
10.13 Microsoft Corporation
10.14 Oracle Corporation
10.15 SAP
10.16 SenSat
10.17 Siemens Digital Industries Software
10.18 Simio
10.19 Tata Consulting Services Limited
10.20 The AnyLogic Company