시장보고서
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2031020

물류 분야 디지털 트윈 시장(2026-2030년)

Global Digital Twin In Logistics Market 2026-2030

발행일: | 리서치사: 구분자 TechNavio | 페이지 정보: 영문 307 Pages | 배송안내 : 즉시배송

    
    
    




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영문목차
※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 물류 분야 디지털 트윈 시장은 2025년부터 2030년까지 41억 2,120만 달러 증가하고, 예측 기간 동안 CAGR은 26.3%에 달할 것으로 예측됩니다.

세계의 물류 분야 디지털 트윈 시장에 대해 조사 분석했으며, 시장 규모와 예측, 동향, 성장요인, 과제, 약 25개 벤더 분석 등의 정보를 전해드립니다.

본 보고서에서는 현재 시장 상황, 최신 시장 동향 및 촉진요인, 그리고 전체 시장 환경에 대한 최신 분석을 제공합니다. 이 시장은 실시간 가시성과 업무 투명성에 대한 수요 증가, 사물인터넷(IoT) 및 커넥티드 인프라의 급속한 발전, 그리고 지속가능성과 탄소 중립을 향한 기업의 전략적 노력에 의해 주도되고 있습니다.

이번 조사는 업계 주요 관계자들의 의견을 포함한 1차 정보와 2차 정보를 객관적으로 조합하여 실시되었습니다. 이 보고서에는 주요 기업 분석과 함께 종합적인 시장 규모 데이터, 지역별 분석과 함께 부문 및 공급업체 현황이 포함되어 있습니다. 보고서에는 과거 데이터와 예측 데이터가 수록되어 있습니다.

시장 범위
기준 연도 2025년
종료 연도 2030년
조사 기간 2026-2030년
성장 모멘텀 가속
2026년 전년 대비 24.4%
CAGR 26.3%
증가액 41억 2,120만 달러

이번 조사에서는 생성형 AI와 예측 시뮬레이션의 통합이 향후 몇 년 동안 세계 물류 분야 디지털 트윈 시장 성장을 주도할 주요 요인 중 하나로 꼽혔습니다. 또한, 물류 메타버스와 고정밀 공간 시각화의 부상, 그리고 협력적 데이터 생태계와 '트윈 오브 트윈스(Twin of Twins)' 개념으로의 전환은 시장에서 상당한 수요를 창출할 것으로 보입니다.

목차

제1장 주요 요약

제2장 Technavio 분석

제3장 시장 구도

제4장 시장 규모

제5장 시장 규모 실적

제6장 정성 분석

제7장 Five Forces 분석

제8장 시장 세분화 : 구성요소별

제9장 시장 세분화 : 전개별

제10장 시장 세분화 : 용도별

제11장 고객 상황

제12장 지역별 상황

제13장 촉진요인, 과제, 기회

제14장 경쟁 구도

제15장 경쟁 분석

제16장 부록

KSM 26.05.26

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.

Market Scope
Base Year2025
End Year2030
Series Year2026-2030
Growth MomentumAccelerate
YOY 202624.4%
CAGR26.3%
Incremental Value$4121.2 mn

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
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