Digital Supply Chain Market
Digital Supply Chain Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software and Services), Function (Supply Chain Planning, Manufacturing, Logistics, Warehousing and Other Functions), Deployment Mode, Enterprise Size, Technology, Application and By Geography
|
Years Covered |
2024-2032 |
|
Estimated Year Value (2025) |
US $7.14 BN |
|
Projected Year Value (2032) |
US $18.9 BN |
|
CAGR (2025-2032) |
15.0% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
Asia Pacific |
|
Highest Growing Market |
North America |
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
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o 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
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o 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
1 Global Digital Supply Chain Market Outlook, By Region (2024-2032) ($MN)
2 Global Digital Supply Chain Market Outlook, By Component (2024-2032) ($MN)
3 Global Digital Supply Chain Market Outlook, By Hardware (2024-2032) ($MN)
4 Global Digital Supply Chain Market Outlook, By Software (2024-2032) ($MN)
5 Global Digital Supply Chain Market Outlook, By Services (2024-2032) ($MN)
6 Global Digital Supply Chain Market Outlook, By Function (2024-2032) ($MN)
7 Global Digital Supply Chain Market Outlook, By Supply Chain Planning (2024-2032) ($MN)
8 Global Digital Supply Chain Market Outlook, By Manufacturing (2024-2032) ($MN)
9 Global Digital Supply Chain Market Outlook, By Logistics (2024-2032) ($MN)
10 Global Digital Supply Chain Market Outlook, By Warehousing (2024-2032) ($MN)
11 Global Digital Supply Chain Market Outlook, By Procurement (2024-2032) ($MN)
12 Global Digital Supply Chain Market Outlook, By Inventory Management (2024-2032) ($MN)
13 Global Digital Supply Chain Market Outlook, By Transportation Management (2024-2032) ($MN)
14 Global Digital Supply Chain Market Outlook, By Order Management (2024-2032) ($MN)
15 Global Digital Supply Chain Market Outlook, By Other Functions (2024-2032) ($MN)
16 Global Digital Supply Chain Market Outlook, By Deployment Mode (2024-2032) ($MN)
17 Global Digital Supply Chain Market Outlook, By On-Premise (2024-2032) ($MN)
18 Global Digital Supply Chain Market Outlook, By Cloud-Based (2024-2032) ($MN)
19 Global Digital Supply Chain Market Outlook, By Hybrid (2024-2032) ($MN)
20 Global Digital Supply Chain Market Outlook, By Enterprise Size (2024-2032) ($MN)
21 Global Digital Supply Chain Market Outlook, By Large Enterprises (2024-2032) ($MN)
22 Global Digital Supply Chain Market Outlook, By Small & Medium Enterprises (2024-2032) ($MN)
23 Global Digital Supply Chain Market Outlook, By Technology (2024-2032) ($MN)
24 Global Digital Supply Chain Market Outlook, By Internet of Things (IoT) (2024-2032) ($MN)
25 Global Digital Supply Chain Market Outlook, By Artificial Intelligence (AI) (2024-2032) ($MN)
26 Global Digital Supply Chain Market Outlook, By Cloud Computing (2024-2032) ($MN)
27 Global Digital Supply Chain Market Outlook, By Blockchain (2024-2032) ($MN)
28 Global Digital Supply Chain Market Outlook, By Big Data & Analytics (2024-2032) ($MN)
29 Global Digital Supply Chain Market Outlook, By Robotics Process Automation (RPA) (2024-2032) ($MN)
30 Global Digital Supply Chain Market Outlook, By 5G Connectivity (2024-2032) ($MN)
31 Global Digital Supply Chain Market Outlook, By Augmented Reality (AR) & Virtual Reality (VR) (2024-2032) ($MN)
32 Global Digital Supply Chain Market Outlook, By Other Technologies (2024-2032) ($MN)
33 Global Digital Supply Chain Market Outlook, By Application (2024-2032) ($MN)
34 Global Digital Supply Chain Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
35 Global Digital Supply Chain Market Outlook, By Manufacturing (2024-2032) ($MN)
36 Global Digital Supply Chain Market Outlook, By Automotive (2024-2032) ($MN)
37 Global Digital Supply Chain Market Outlook, By Food & Beverages (2024-2032) ($MN)
38 Global Digital Supply Chain Market Outlook, By Healthcare & Pharmaceuticals (2024-2032) ($MN)
39 Global Digital Supply Chain Market Outlook, By Energy & Utilities (2024-2032) ($MN)
40 Global Digital Supply Chain Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
41 Global Digital Supply Chain Market Outlook, By Other Applications (2024-2032) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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