2026-2030年全球物流領域數位雙胞胎市場

預計 2025 年至 2030 年間，全球物流業的數位雙胞胎市場規模將成長至 41.212 億美元，預測期內複合年成長率為 26.3%。

本報告對全球物流行業的數位雙胞胎市場進行了全面分析，包括市場規模和預測、趨勢、成長要素、挑戰以及對約 25 家公司的供應商分析。

本報告對當前市場狀況、最新市場趨勢和促進因素以及整體市場環境進行了最新分析。推動市場發展的因素包括：對即時可視性和營運透明度的日益成長的需求、物聯網 (IoT) 和互聯基礎設施的快速發展，以及企業為實現永續性和碳中和而做出的策略努力。

本研究客觀地結合了一手和二手訊息，包括主要行業相關人員的意見。報告內容涵蓋主要公司分析、全面的市場規模數據、區域細分分析以及供應商格局。報告還包含歷史數據和預測數據。

本研究指出，生成式人工智慧與預測模擬技術的整合是未來幾年全球物流行業數位雙胞胎市場成長的關鍵促進因素之一。此外，物流元宇宙和高精度空間視覺化技術的興起，以及向協作數據生態系統和「孿生之孿生」概念的轉變，也將產生顯著的市場需求。

目錄

第1章：執行摘要

第2章 Technavio 分析

• 分析定價、生命週期、顧客購買籃子、採用率和購買標準。
• 輸入的重要性及差異化因素
• 干擾因素
• 促進因素和挑戰的影響

第3章 市場狀況

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場的定義
• 市場區隔分析
• 2025年市場規模
• 市場展望，2025-2030年

第5章 市場規模與表現

• 2020-2024年全球物流數位雙胞胎市場
• 基於組件的細分市場分析，2020-2024 年
• 按部署方式分類的細分市場分析，2020-2024 年
• 基於應用領域的細分市場分析，2020-2024 年
• 區域區隔市場分析，2020-2024 年
• 2020-2024年各國細分市場分析

第6章 定性分析

• 人工智慧的影響：全球物流的數位雙胞胎市場
• 地緣政治衝突的影響：全球物流數位雙胞胎市場。

第7章：五力分析

第8章 市場區隔：按組件

• 比較：按組件
• 軟體
• 服務
• 平台解決方案
• 市場機會：按組件分類

第9章 市場區隔：依部署方式

• 比較：依部署方式
• 基於雲端的
• 現場
• 市場機會：依發展階段分類

第10章 市場區隔：依應用

• 比較：按應用
• 倉庫最佳化
• 預測性保護
• 供應鏈規劃
• 車隊管理
• 市場機會：依應用領域分類

第11章 客戶情況

第12章 區域情勢

• 區域細分
• 區域比較
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 澳洲
  • 印尼
• 歐洲
  • 德國
  • 英國
  • 法國
  • 義大利
  • 西班牙
  • 荷蘭
• 中東和非洲
  • UAE
  • 沙烏地阿拉伯
  • 南非
  • 土耳其
  • 以色列
• 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞
• 市場機會：按地區分類

第13章 促進因素、挑戰與機遇

• 市場促進因素
• 市場挑戰
• 促進因素和挑戰的影響
• 市場機遇

第14章 競爭格局

• 概述
• 競爭格局
• 混亂局面
• 產業風險

第15章 競爭分析

• 公司簡介
• 公司排名指標
• 企業市場定位
• Amazon Web Services Inc.
• Bentley Systems Inc.
• Dassault Systemes SE
• General Electric Co.
• Hexagon AB
• IBM Corp.
• Manhattan Associates Inc.
• Microsoft Corp.
• NVIDIA Corp.
• Oracle Corp.
• Palantir Technologies Inc.
• PTC Inc.
• Robert Bosch GmbH
• SAP SE
• Siemens AG

第16章附錄

The global digital twin in logistics market is forecasted to grow by USD 4121.2 mn during 2025-2030, accelerating at a CAGR of 26.3% during the forecast period. The report on the global digital twin in logistics market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by raising demand for real time visibility and operational transparency, rapid advancements in internet of things and connectivity infrastructure, strategic corporate commitment to sustainability and carbon neutrality.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global digital twin in logistics market is segmented as below:

By Component

• Software
• Services
• Platform solutions

By Deployment

• Cloud-based
• On-premises

By Application

• Warehouse optimization
• Predictive maintenance
• Supply chain planning
• Fleet management

Geography

• North America
  • US
  • Canada
  • Mexico
• APAC
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • The Netherlands
• Middle East and Africa
  • UAE
  • South Africa
  • Turkey
• South America
  • Brazil
  • Argentina
  • Colombia
• Rest of World (ROW)

This study identifies the integration of generative artificial intelligence and predictive simulation as one of the prime reasons driving the global digital twin in logistics market growth during the next few years. Also, emergence of logistics metaverse and high fidelity spatial visualization and shift toward collaborative data ecosystems and twin of twins concept will lead to sizable demand in the market.

The report on the global digital twin in logistics market covers the following areas:

• Global digital twin in logistics market sizing
• Global digital twin in logistics market forecast
• Global digital twin in logistics market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global digital twin in logistics market vendors that include Amazon Web Services Inc., Bentley Systems Inc., Blue Yonder Group Inc., Dassault Systemes SE, General Electric Co., Google LLC, Hexagon AB, IBM Corp., Kinaxis Inc., Manhattan Associates Inc., Microsoft Corp., NVIDIA Corp., Oracle Corp., Palantir Technologies Inc., PTC Inc., Robert Bosch GmbH, Rockwell Automation Inc., SAP SE, Siemens AG, Unity Technologies Inc.. Also, the global digital twin in logistics market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Component
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2025
• 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

• 5.1 Global Digital Twin In Logistics Market 2020 - 2024
  • Historic Market Size - Data Table on Global Digital Twin In Logistics Market 2020 - 2024 ($ million)
• 5.2 Component segment analysis 2020 - 2024
  • Historic Market Size - Component Segment 2020 - 2024 ($ million)
• 5.3 Deployment segment analysis 2020 - 2024
  • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
• 5.4 Application segment analysis 2020 - 2024
  • Historic Market Size - Application Segment 2020 - 2024 ($ million)
• 5.5 Geography segment analysis 2020 - 2024
  • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
• 5.6 Country segment analysis 2020 - 2024
  • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

• 6.1 Impact of AI on global digital twin in logistics market
• 6.2 Impact of geopolitical conflicts on global digital twin in logistics market

7 Five Forces Analysis

• 7.1 Five forces summary
  • Five forces analysis - Comparison between 2025 and 2030
• 7.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2025 and 2030
• 7.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
• 7.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2025 and 2030
• 7.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2025 and 2030
• 7.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2025 and 2030
• 7.7 Market condition

8 Market Segmentation by Component

• 8.1 Market segments
• 8.2 Comparison by Component
• 8.3 Software - Market size and forecast 2025-2030
• 8.4 Services - Market size and forecast 2025-2030
• 8.5 Platform solutions - Market size and forecast 2025-2030
• 8.6 Market opportunity by Component
  • Market opportunity by Component ($ million)

9 Market Segmentation by Deployment

• 9.1 Market segments
• 9.2 Comparison by Deployment
• 9.3 Cloud-based - Market size and forecast 2025-2030
• 9.4 On-premises - Market size and forecast 2025-2030
• 9.5 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

10 Market Segmentation by Application

• 10.1 Market segments
• 10.2 Comparison by Application
• 10.3 Warehouse optimization - Market size and forecast 2025-2030
• 10.4 Predictive maintenance - Market size and forecast 2025-2030
• 10.5 Supply chain planning - Market size and forecast 2025-2030
• 10.6 Fleet management - Market size and forecast 2025-2030
• 10.7 Market opportunity by Application
  • Market opportunity by Application ($ million)

11 Customer Landscape

• 11.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

12 Geographic Landscape

• 12.1 Geographic segmentation
• 12.2 Geographic comparison
• 12.3 North America - Market size and forecast 2025-2030
  • 12.3.1 US - Market size and forecast 2025-2030
  • 12.3.2 Canada - Market size and forecast 2025-2030
  • 12.3.3 Mexico - Market size and forecast 2025-2030
• 12.4 APAC - Market size and forecast 2025-2030
  • 12.4.1 China - Market size and forecast 2025-2030
  • 12.4.2 Japan - Market size and forecast 2025-2030
  • 12.4.3 India - Market size and forecast 2025-2030
  • 12.4.4 South Korea - Market size and forecast 2025-2030
  • 12.4.5 Australia - Market size and forecast 2025-2030
  • 12.4.6 Indonesia - Market size and forecast 2025-2030
• 12.5 Europe - Market size and forecast 2025-2030
  • 12.5.1 Germany - Market size and forecast 2025-2030
  • 12.5.2 UK - Market size and forecast 2025-2030
  • 12.5.3 France - Market size and forecast 2025-2030
  • 12.5.4 Italy - Market size and forecast 2025-2030
  • 12.5.5 Spain - Market size and forecast 2025-2030
  • 12.5.6 The Netherlands - Market size and forecast 2025-2030
• 12.6 Middle East and Africa - Market size and forecast 2025-2030
  • 12.6.1 UAE - Market size and forecast 2025-2030
  • 12.6.2 Saudi Arabia - Market size and forecast 2025-2030
  • 12.6.3 South Africa - Market size and forecast 2025-2030
  • 12.6.4 Turkey - Market size and forecast 2025-2030
  • 12.6.5 Israel - Market size and forecast 2025-2030
• 12.7 South America - Market size and forecast 2025-2030
  • 12.7.1 Brazil - Market size and forecast 2025-2030
  • 12.7.2 Argentina - Market size and forecast 2025-2030
  • 12.7.3 Colombia - Market size and forecast 2025-2030
• 12.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

• 13.1 Market drivers
  • Raising demand for real time visibility and operational transparency
  • Rapid advancements in internet of things and connectivity infrastructure
  • Strategic corporate commitment to sustainability and carbon neutrality
• 13.2 Market challenges
  • Technological complexities of data integration and interoperability
  • Financial barriers and complexity of return on investment justification
  • Cybersecurity vulnerabilities and expansion of digital attack surface
• 13.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2025 and 2030
• 13.4 Market opportunities
  • Integration of generative artificial intelligence and predictive simulation
  • Emergence of logistics metaverse and high fidelity spatial visualization
  • Shift toward collaborative data ecosystems and twin of twins concept

14 Competitive Landscape

• 14.1 Overview
• 14.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 14.3 Landscape disruption
  • Overview on factors of disruption
• 14.4 Industry risks
  • Impact of key risks on business

15 Competitive Analysis

• 15.1 Companies profiled
  • Companies covered
• 15.2 Company ranking index
  • Company ranking index
• 15.3 Market positioning of companies
  • Matrix on companies position and classification
• 15.4 Amazon Web Services Inc.
  • Amazon Web Services Inc. - Overview
  • Amazon Web Services Inc. - Product / Service
  • Amazon Web Services Inc. - Key offerings
  • SWOT
• 15.5 Bentley Systems Inc.
  • Bentley Systems Inc. - Overview
  • Bentley Systems Inc. - Business segments
  • Bentley Systems Inc. - Key offerings
  • Bentley Systems Inc. - Segment focus
  • SWOT
• 15.6 Dassault Systemes SE
  • Dassault Systemes SE - Overview
  • Dassault Systemes SE - Business segments
  • Dassault Systemes SE - Key offerings
  • Dassault Systemes SE - Segment focus
  • SWOT
• 15.7 General Electric Co.
  • General Electric Co. - Overview
  • General Electric Co. - Business segments
  • General Electric Co. - Key offerings
  • General Electric Co. - Segment focus
  • SWOT
• 15.8 Hexagon AB
  • Hexagon AB - Overview
  • Hexagon AB - Business segments
  • Hexagon AB - Key news
  • Hexagon AB - Key offerings
  • Hexagon AB - Segment focus
  • SWOT
• 15.9 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 15.10 Manhattan Associates Inc.
  • Manhattan Associates Inc. - Overview
  • Manhattan Associates Inc. - Business segments
  • Manhattan Associates Inc. - Key offerings
  • Manhattan Associates Inc. - Segment focus
  • SWOT
• 15.11 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 15.12 NVIDIA Corp.
  • NVIDIA Corp. - Overview
  • NVIDIA Corp. - Business segments
  • NVIDIA Corp. - Key news
  • NVIDIA Corp. - Key offerings
  • NVIDIA Corp. - Segment focus
  • SWOT
• 15.13 Oracle Corp.
  • Oracle Corp. - Overview
  • Oracle Corp. - Business segments
  • Oracle Corp. - Key news
  • Oracle Corp. - Key offerings
  • Oracle Corp. - Segment focus
  • SWOT
• 15.14 Palantir Technologies Inc.
  • Palantir Technologies Inc. - Overview
  • Palantir Technologies Inc. - Business segments
  • Palantir Technologies Inc. - Key offerings
  • Palantir Technologies Inc. - Segment focus
  • SWOT
• 15.15 PTC Inc.
  • PTC Inc. - Overview
  • PTC Inc. - Business segments
  • PTC Inc. - Key offerings
  • PTC Inc. - Segment focus
  • SWOT
• 15.16 Robert Bosch GmbH
  • Robert Bosch GmbH - Overview
  • Robert Bosch GmbH - Product / Service
  • Robert Bosch GmbH - Key offerings
  • SWOT
• 15.17 SAP SE
  • SAP SE - Overview
  • SAP SE - Business segments
  • SAP SE - Key news
  • SAP SE - Key offerings
  • SAP SE - Segment focus
  • SWOT
• 15.18 Siemens AG
  • Siemens AG - Overview
  • Siemens AG - Business segments
  • Siemens AG - Key news
  • Siemens AG - Key offerings
  • Siemens AG - Segment focus
  • SWOT

16 Appendix

• 16.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 16.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 16.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 16.4 Research methodology
  • Research methodology
• 16.5 Data procurement
  • Information sources
• 16.6 Data validation
  • Data validation
• 16.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 16.8 Data synthesis
  • Data synthesis
• 16.9 360 degree market analysis
  • 360 degree market analysis
• 16.10 List of abbreviations
  • List of abbreviations