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1776704

2032 年數位供應鏈市場預測:按組件、功能、部署模式、公司規模、技術、應用和地區進行的全球分析

Digital Supply Chain Market Forecasts to 2032 - Global Analysis By Component, Function, Deployment Mode, Enterprise Size, Technology, Application and By Geography

出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據,全球數位供應鏈市場預計在 2025 年達到 71.4 億美元,到 2032 年將達到 189 億美元,預測期內的複合年成長率為 15.0%。

數位供應鏈是一個技術賦能的網路,它融合了數據、自動化和數位工具,以控制從原料到最終客戶的各個層級的資訊、產品和服務流動。它利用區塊鏈、人工智慧、物聯網和高級分析等技術來改善決策,提高可視性,並促進相關人員的即時協作。與傳統供應鏈相比,數位供應鏈更具韌性、敏捷性和回應能力,使企業能夠降低成本、最大限度地提高績效,並更快地應對市場波動和變化。

物聯網和人工智慧技術的採用日益增多

物聯網感測器透過監控資產、環境條件和貨物,提高透明度和業務效率。人工智慧分析技術可以預測需求,最大化存量基準,並增強決策能力。這些技術可協助企業降低成本、減少延誤,並更快應對突發事件。人工智慧自動化技術還能提高預測準確性,簡化物流。因此,企業可以更聰明、更快速、更靈活地營運其供應鏈,從而獲得競爭優勢。

初始投資高,整合複雜

區塊鏈、物聯網和人工智慧等新興技術的實施成本高昂,令人望而卻步。整合的複雜性需要投入大量的時間、資金和技術知識,這無疑使實施難度有所增加。現有供應鏈通常採用與現代數位工具不相容的舊有系統,導致過渡期間停機時間增加和業務中斷。因此,許多公司推遲或迴避數位轉型,減緩了市場擴張的速度。

電子商務的不斷發展和對端到端可視性的需求

企業越來越需要即時數據和端到端可視性來追蹤貨運、管理庫存並滿足客戶需求。數位供應鏈解決方案透過促進相關人員之間的順暢整合,改善決策並提高透明度。物聯網和進階分析提供的預測洞察可幫助企業減少延誤並最佳化物流。全通路零售的轉變進一步加速了數位技術的採用。因此,數位供應鏈市場正在各行各業迅速擴張。

網路安全漏洞和資料洩露

資料外洩和網路安全漏洞會為供應鏈參與者帶來財務損失、罰款和品牌損害。它們會擾亂即時資料流,影響預測、及時交付和協調。對互聯平台和設備的攻擊也可能導致業務中斷,造成代價高昂的延誤。由於擔心網路風險,企業不願全面採用數位化解決方案。因此,數位轉型投資放緩,限制了整體市場的成長潛力。

COVID-19的影響

新冠疫情嚴重擾亂了數位供應鏈市場,暴露了全球物流的脆弱性,並加速了數位技術的普及。封鎖和勞動力短缺造成了延誤,促使企業投資自動化、人工智慧和即時追蹤系統,以保持業務的連續性。這場危機凸顯了供應鏈韌性的重要性,並促使雲端基礎的平台、預測分析和需求規劃工具的激增。因此,數位轉型已成為策略重點,重塑了各行各業的供應鏈管理。

預計製造業將成為預測期內最大的產業

預計製造業將在預測期內佔據最大的市場佔有率,這得益於自動化、即時數據分析和預測性維護的採用。製造商正在利用數位供應鏈技術來簡化業務、縮短前置作業時間並改善生產計畫。物聯網和人工智慧的融合增強了整個供應網路的可視性,從而能夠更快地響應需求波動。智慧工廠正在利用數位雙胞胎和雲端平台來改善協調和資源管理。這種數位轉型正在提高效率、降低成本並促進供應鏈流程的創新。

巨量資料和分析領域預計將在預測期內實現最高複合年成長率

巨量資料與分析領域預計將在預測期內實現最高成長率,因為它能夠透過預測洞察實現即時決策。分析大量結構化和非結構化資料可以提高供應鏈的可視性和效率。企業可以更準確地預測需求,降低庫存成本,並提高客戶滿意度。分析工具有助於識別瓶頸,並最佳化物流和營運。總而言之,數據主導策略使企業能夠在動態的市場環境中保持敏捷性和競爭力。

佔比最大的地區:

預計亞太地區將在預測期內佔據最大市場佔有率,這得益於其強大的製造業基礎、電子商務的普及以及政府的數位轉型舉措。中國、日本和印度等國家在採用人工智慧、物聯網和區塊鏈進行即時追蹤和預測分析方面處於領先地位。對智慧物流和雲端基礎的投資不斷增加,正在改變供應鏈的敏捷性。不斷成長的新興企業生態系統以及對龐大且分散的供應網路可視性的需求,正在加速技術的採用,尤其是在零售、電子和汽車行業。

複合年成長率最高的地區:

在預測期內,北美預計將呈現最高的複合年成長率,主要由美國和加拿大推動。該地區的企業正致力於透過自動化、數據分析和增強的網路安全來最佳化複雜的物流網路。該地區高度重視永續性和合規性,並將ESG目標納入其供應鏈策略。主要技術供應商的存在以及對工業4.0解決方案的早期採用,為高業務效率提供了支撐。與亞太地區不同,該地區的市場更注重改善客戶體驗、風險管理以及增強在地緣政治和經濟不確定性中的韌性。

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  • 公司簡介
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  • 區域細分
    • 根據客戶興趣對主要國家市場進行估計、預測和複合年成長率(註:基於可行性檢查)
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

第5章全球數位供應鏈市場(按組件)

  • 硬體
  • 軟體
  • 服務

6. 全球數位供應鏈市場(按功能)

  • 供應鏈計劃
  • 製造業
  • 物流
  • 倉庫
  • 採購
  • 庫存管理
  • 運輸管理
  • 訂單管理
  • 其他功能

7. 全球數位供應鏈市場(依部署模式)

  • 本地
  • 雲端基礎
  • 混合

第8章全球數位供應鏈市場(依公司規模)

  • 主要企業
  • 小型企業

9. 全球數位供應鏈市場(按技術)

  • 物聯網 (IoT)
  • 人工智慧(AI)
  • 雲端運算
  • 區塊鏈
  • 巨量資料和分析
  • 機器人流程自動化(RPA)
  • 5G連接
  • 擴增實境(AR) 和虛擬實境 (VR)
  • 其他技術

第 10 章全球數位供應鏈市場(按應用)

  • 零售與電子商務
  • 製造業
  • 食品/飲料
  • 醫療保健和醫學
  • 能源與公共產業
  • 運輸/物流
  • 其他用途

第 11 章全球數位供應鏈市場(按地區)

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章:公司概況

  • IBM Corporation
  • SAP SE
  • Oracle Corporation
  • Infor
  • Blue Yonder
  • Kinaxis Inc.
  • Manhattan Associates
  • Descartes Systems Group
  • Cloudera Inc.
  • TIBCO Software
  • SAS Institute
  • Microsoft Corporation
  • Infosys
  • Cognizant
  • Accenture
  • Tata Consultancy Services(TCS)
  • HCL Technologies
  • Coupa Software
Product Code: SMRC30035

According to Stratistics MRC, the Global Digital Supply Chain Market is accounted for $7.14 billion in 2025 and is expected to reach $18.9 billion by 2032 growing at a CAGR of 15.0% during the forecast period. A digital supply chain is a network powered by technology that combines data, automation, and digital tools to control the movement of information, products, and services at every level-from raw materials to final customers. It makes use of technologies like blockchain, artificial intelligence, IoT, and advanced analytics to improve decision-making, increase visibility, and facilitate real-time stakeholder cooperation. Digital supply chains are more resilient, agile, and responsive than traditional ones, which enables businesses to cut expenses, maximise performance, and quickly adjust to interruptions or changes in the market.

Market Dynamics:

Driver:

Increasing adoption of IoT and AI technologies

IoT sensors improve transparency and operational efficiency by monitoring assets, environmental conditions, and merchandise. Analytics driven by AI forecast demand, maximise stock levels, and enhance decision-making. These technologies assist businesses in cutting expenses, cutting down on delays, and reacting quickly to interruptions. AI-powered automation also improves forecasting precision and simplifies logistics. As a result, companies can operate their supply chains more intelligently, quickly, and nimbly, giving them a competitive advantage.

Restraint:

High initial investment and integration complexity

Advanced technologies like blockchain, IoT, and AI can be prohibitively expensive to adopt. Deployment is made more difficult by integration complexity, which calls for a large investment of time, money, and technical know-how. Existing supply chains frequently have legacy systems that are incompatible with contemporary digital tools. During the transition period, this leads to increased downtime and operational disruptions. As a result, a lot of businesses put off or steer clear of digital transformation, which slows market expansion.

Opportunity:

Growing e-commerce and demand for end-to-end visibility

Real-time data and end-to-end visibility are becoming more and more necessary for businesses to track shipments, manage inventories, and satisfy customer demands. Digital supply chain solutions improve decision-making and transparency by facilitating smooth stakeholder integration. Predictive insights from IoT and advanced analytics help businesses cut down on delays and optimise logistics. The adoption of digital technologies is further accelerated by the move towards omnichannel retailing. The market for digital supply chains is therefore expanding rapidly across all industries.

Threat:

Cybersecurity vulnerabilities and data breaches

Data breaches and cybersecurity flaws cause supply chain participants to suffer monetary losses, fines, and harm to their brand. They interfere with the flow of data in real time, which impacts forecasting, timely delivery, and coordination. Operations can be stopped by attacks on linked platforms and devices, resulting in expensive delays. Businesses are reluctant to fully embrace digital solutions due to their concern of cyber dangers. Consequently, the market's total growth potential is limited as investment in digital transformation slows down.

Covid-19 Impact

The Covid-19 pandemic significantly disrupted the Digital Supply Chain Market, exposing vulnerabilities in global logistics and accelerating the adoption of digital technologies. Lockdowns and labor shortages created delays, pushing companies to invest in automation, AI, and real-time tracking systems to maintain operational continuity. The crisis underscored the need for supply chain resilience, prompting a surge in cloud-based platforms, predictive analytics, and demand planning tools. As a result, digital transformation became a strategic priority, reshaping supply chain management across industries.

The manufacturing segment is expected to be the largest during the forecast period

The manufacturing segment is expected to account for the largest market share during the forecast period, due to the adoption of automation, real-time data analytics, and predictive maintenance. Manufacturers leverage digital supply chain technologies to streamline operations, reduce lead times, and improve production planning. Integration of IoT and AI enhances visibility across the supply network, enabling quicker response to demand fluctuations. Smart factories utilize digital twins and cloud platforms for improved coordination and resource management. This digital transformation boosts efficiency, reduces costs, and fosters innovation in supply chain processes.

The big data & analytics segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the big data & analytics segment is predicted to witness the highest growth rate by enabling real-time decision-making through predictive insights. It enhances supply chain visibility and efficiency by analyzing vast amounts of structured and unstructured data. Businesses can forecast demand more accurately, reducing inventory costs and improving customer satisfaction. Analytics tools help identify bottlenecks and optimize logistics and operations. Overall, data-driven strategies empower companies to stay agile and competitive in a dynamic market environment.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to robust manufacturing bases, increasing e-commerce adoption, and the digital transformation initiatives by governments. Countries like China, Japan, and India are leading in adopting AI, IoT, and blockchain for real-time tracking and predictive analytics. Rising investments in smart logistics and cloud-based platforms are transforming supply chain agility. The growing startup ecosystem and demand for visibility across vast and fragmented supply networks are accelerating technology adoption, particularly in retail, electronics, and automotive industries.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, led by the U.S. and Canada. Companies in this region focus on optimizing complex logistics networks through automation, data analytics, and cybersecurity enhancements. The region has a strong emphasis on sustainability and compliance, integrating ESG goals within supply chain strategies. The presence of major technology vendors and early adoption of Industry 4.0 solutions support high operational efficiency. Unlike Asia Pacific, the market here is more focused on enhancing customer experience, risk management, and resilience amid geopolitical and economic uncertainties.

Key players in the market

Some of the key players profiled in the Digital Supply Chain Market include IBM Corporation, SAP SE, Oracle Corporation, Infor, Blue Yonder, Kinaxis Inc., Manhattan Associates, Descartes Systems Group, Cloudera Inc., TIBCO Software, SAS Institute, Microsoft Corporation, Infosys, Cognizant, Accenture, Tata Consultancy Services (TCS), HCL Technologies and Coupa Software.

Key Developments:

In May 2025, SAP expanded its longstanding partnership with Accenture, launching the ADVANCE initiative. It's a preconfigured pathway leveraging SAP Business Suite and Accenture services to accelerate cloud adoption, optimizing procurement, finance, and supply chain functions with AI-driven insights.

In January 2024, IBM announced a generative-AI integration between IBM watsonx and SAP Direct Distribution to enhance route planning, optimize assortment management, and automate last-mile order fulfillment, enabling retailers and wholesalers to streamline operations and improve supply chain efficiency.

In May 2025, SAP expanded its longstanding partnership with Accenture, launching the ADVANCE initiative. It's a preconfigured pathway leveraging SAP Business Suite and Accenture services to accelerate cloud adoption, optimizing procurement, finance, and supply chain functions with AI-driven insights.

In April 2023, IBM signed a five-year agreement with Baxter Planning to implement its AI-powered Predictive Service Supply Chain solution, aiming to optimize IBM's $300M+ service parts inventory across 74 countries, targeting significant annual cost savings and efficiency improvements.

Components Covered:

  • Hardware
  • Software
  • Services

Functions Covered:

  • Supply Chain Planning
  • Manufacturing
  • Logistics
  • Warehousing
  • Procurement
  • Inventory Management
  • Transportation Management
  • Order Management
  • Other Functions

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based
  • Hybrid

Enterprise Sizes Covered:

  • Large Enterprises
  • Small & Medium Enterprises

Technologies Covered:

  • Internet of Things (IoT)
  • Artificial Intelligence (AI)
  • Cloud Computing
  • Blockchain
  • Big Data & Analytics
  • Robotics Process Automation (RPA)
  • 5G Connectivity
  • Augmented Reality (AR) & Virtual Reality (VR)
  • Other Technologies

Applications Covered:

  • Retail & E-commerce
  • Manufacturing
  • Automotive
  • Food & Beverages
  • Healthcare & Pharmaceuticals
  • Energy & Utilities
  • Transportation & Logistics
  • Other Applications

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Digital Supply Chain Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
  • 5.3 Software
  • 5.4 Services

6 Global Digital Supply Chain Market, By Function

  • 6.1 Introduction
  • 6.2 Supply Chain Planning
  • 6.3 Manufacturing
  • 6.4 Logistics
  • 6.5 Warehousing
  • 6.6 Procurement
  • 6.7 Inventory Management
  • 6.8 Transportation Management
  • 6.9 Order Management
  • 6.10 Other Functions

7 Global Digital Supply Chain Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 On-Premise
  • 7.3 Cloud-Based
  • 7.4 Hybrid

8 Global Digital Supply Chain Market, By Enterprise Size

  • 8.1 Introduction
  • 8.2 Large Enterprises
  • 8.3 Small & Medium Enterprises

9 Global Digital Supply Chain Market, By Technology

  • 9.1 Introduction
  • 9.2 Internet of Things (IoT)
  • 9.3 Artificial Intelligence (AI)
  • 9.4 Cloud Computing
  • 9.5 Blockchain
  • 9.6 Big Data & Analytics
  • 9.7 Robotics Process Automation (RPA)
  • 9.8 5G Connectivity
  • 9.9 Augmented Reality (AR) & Virtual Reality (VR)
  • 9.10 Other Technologies

10 Global Digital Supply Chain Market, By Application

  • 10.1 Introduction
  • 10.2 Retail & E-commerce
  • 10.3 Manufacturing
  • 10.4 Automotive
  • 10.5 Food & Beverages
  • 10.6 Healthcare & Pharmaceuticals
  • 10.7 Energy & Utilities
  • 10.8 Transportation & Logistics
  • 10.9 Other Applications

11 Global Digital Supply Chain Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 IBM Corporation
  • 13.2 SAP SE
  • 13.3 Oracle Corporation
  • 13.4 Infor
  • 13.5 Blue Yonder
  • 13.6 Kinaxis Inc.
  • 13.7 Manhattan Associates
  • 13.8 Descartes Systems Group
  • 13.9 Cloudera Inc.
  • 13.10 TIBCO Software
  • 13.11 SAS Institute
  • 13.12 Microsoft Corporation
  • 13.13 Infosys
  • 13.14 Cognizant
  • 13.15 Accenture
  • 13.16 Tata Consultancy Services (TCS)
  • 13.17 HCL Technologies
  • 13.18 Coupa Software

List of Tables

  • Table 1 Global Digital Supply Chain Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Digital Supply Chain Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Digital Supply Chain Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Digital Supply Chain Market Outlook, By Software (2024-2032) ($MN)
  • Table 5 Global Digital Supply Chain Market Outlook, By Services (2024-2032) ($MN)
  • Table 6 Global Digital Supply Chain Market Outlook, By Function (2024-2032) ($MN)
  • Table 7 Global Digital Supply Chain Market Outlook, By Supply Chain Planning (2024-2032) ($MN)
  • Table 8 Global Digital Supply Chain Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 9 Global Digital Supply Chain Market Outlook, By Logistics (2024-2032) ($MN)
  • Table 10 Global Digital Supply Chain Market Outlook, By Warehousing (2024-2032) ($MN)
  • Table 11 Global Digital Supply Chain Market Outlook, By Procurement (2024-2032) ($MN)
  • Table 12 Global Digital Supply Chain Market Outlook, By Inventory Management (2024-2032) ($MN)
  • Table 13 Global Digital Supply Chain Market Outlook, By Transportation Management (2024-2032) ($MN)
  • Table 14 Global Digital Supply Chain Market Outlook, By Order Management (2024-2032) ($MN)
  • Table 15 Global Digital Supply Chain Market Outlook, By Other Functions (2024-2032) ($MN)
  • Table 16 Global Digital Supply Chain Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 17 Global Digital Supply Chain Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 18 Global Digital Supply Chain Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 19 Global Digital Supply Chain Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 20 Global Digital Supply Chain Market Outlook, By Enterprise Size (2024-2032) ($MN)
  • Table 21 Global Digital Supply Chain Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 22 Global Digital Supply Chain Market Outlook, By Small & Medium Enterprises (2024-2032) ($MN)
  • Table 23 Global Digital Supply Chain Market Outlook, By Technology (2024-2032) ($MN)
  • Table 24 Global Digital Supply Chain Market Outlook, By Internet of Things (IoT) (2024-2032) ($MN)
  • Table 25 Global Digital Supply Chain Market Outlook, By Artificial Intelligence (AI) (2024-2032) ($MN)
  • Table 26 Global Digital Supply Chain Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • Table 27 Global Digital Supply Chain Market Outlook, By Blockchain (2024-2032) ($MN)
  • Table 28 Global Digital Supply Chain Market Outlook, By Big Data & Analytics (2024-2032) ($MN)
  • Table 29 Global Digital Supply Chain Market Outlook, By Robotics Process Automation (RPA) (2024-2032) ($MN)
  • Table 30 Global Digital Supply Chain Market Outlook, By 5G Connectivity (2024-2032) ($MN)
  • Table 31 Global Digital Supply Chain Market Outlook, By Augmented Reality (AR) & Virtual Reality (VR) (2024-2032) ($MN)
  • Table 32 Global Digital Supply Chain Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 33 Global Digital Supply Chain Market Outlook, By Application (2024-2032) ($MN)
  • Table 34 Global Digital Supply Chain Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 35 Global Digital Supply Chain Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 36 Global Digital Supply Chain Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 37 Global Digital Supply Chain Market Outlook, By Food & Beverages (2024-2032) ($MN)
  • Table 38 Global Digital Supply Chain Market Outlook, By Healthcare & Pharmaceuticals (2024-2032) ($MN)
  • Table 39 Global Digital Supply Chain Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 40 Global Digital Supply Chain Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
  • Table 41 Global Digital Supply Chain Market Outlook, By Other Applications (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.