Digital Logistics Market
Digital Logistics Market Forecasts to 2032 - Global Analysis By Component (Solutions and Services), Deployment Mode (Cloud-Based and On-Premise), Organization Size, Technology, Application, End User and By Geography
|
Years Covered |
2024-2032 |
|
Estimated Year Value (2025) |
US $38.8 BN |
|
Projected Year Value (2032) |
US $139.3 BN |
|
CAGR (2025-2032) |
20% |
|
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 |
North America |
|
Highest Growing Market |
Asia Pacific |
According to Stratistics MRC, the Global Digital Logistics Market is accounted for $38.8 billion in 2025 and is expected to reach $139.3 billion by 2032, growing at a CAGR of 20.0% during the forecast period. The term ""digital logistics"" describes how digital technologies are incorporated into logistical processes to improve supply chain decision-making, efficiency, and visibility. Technologies such as IoT, AI, cloud computing, and data analytics optimize inventory management, shipping, warehousing, and order fulfillment. Businesses may lower expenses, increase customer happiness, and swiftly adjust to shifting market demands by utilizing digital logistics, which makes real-time tracking, automation, and data-driven insights possible.
According to UN Trade and Development (UNCTAD), in 2023, developing economies surpassed $1 trillion in exports of digitally deliverable services, contributing to a global total of $4.5 trillion.
Market Dynamics:
Driver:
Growing e-commerce and omnichannel retail
One of the main drivers of the adoption of digital logistics is the exponential growth of e-commerce and omnichannel retail. Customers increasingly want delivery services that are dependable, transparent, and quick, which forces businesses to use cutting-edge logistics technologies. To meet these expectations, automated order fulfillment technologies, real-time tracking, and inventory management across numerous channels are essential. Additionally, the need for same-day delivery and the growth in cross-border trade motivate investments in blockchain, IoT, and AI to improve supply chain visibility. Retail behemoths like Amazon and Alibaba are establishing standards and pressuring smaller businesses to use digital technologies to stay competitive in a market that is changing quickly.
Restraint:
High initial investment and integration costs
Substantial upfront costs associated with software, hardware, and worker training discourage small and medium-sized businesses (SMEs) from deploying digital logistics systems. The complexity of integrating legacy systems further increases costs and operational disruptions. Cybersecurity and system upgrades continue to strain budgets. Despite long-term efficiency improvements, many businesses are reluctant to make the shift, especially in developing nations.
Opportunity:
Optimization and automation of processes
By automating processes and lowering operating expenses and human errors, digital logistics has the potential to revolutionize the industry. IoT-enabled sensors improve real-time asset tracking, while AI-driven predictive analytics optimize demand forecasting, warehouse management, and route planning. Robotic process automation (RPA) streamlines repetitive processes, freeing up resources for key projects. The trend toward driverless cars and drone deliveries further demonstrates innovation opportunities.
Threat:
Data security and privacy concerns
The digitization of logistics systems increases their susceptibility to data breaches and cyberattacks. Malicious actors target sensitive data, including shipment records and client information. Adherence to strict laws such as the CCPA and GDPR increases legal risks and operational complexity. High-profile violations result in financial penalties and damage stakeholder trust. Strong encryption, multi-factor authentication, and ongoing monitoring are necessary to mitigate this issue. But the high expense of cybersecurity equipment continues to be a problem, especially for smaller firms.
Covid-19 Impact:
The COVID-19 epidemic revealed weaknesses in the supply chain, hastening the introduction of digital logistics. Lockdowns increased demand for contactless delivery and real-time tracking, which in turn drove an increase in e-commerce. Businesses emphasized cloud-based solutions and artificial intelligence (AI) to improve resilience, even though initial disruptions caused delays. Predictive analytics and hybrid work models were commonplace after the epidemic, which fueled sustained investments in automation. However, labor shortages and issues with semiconductor supply momentarily hampered the spread of technology.
The solutions segment is expected to be the largest during the forecast period
The solutions segment is expected to account for the largest market share during the forecast period. The increase is due to the wide range of services it offers, such as supply chain visibility platforms, warehouse optimization, and transportation management. Businesses prioritize integrated software to enhance decision-making, reduce costs, and streamline processes. Furthermore, the growth of IoT and Big Data analytics is fueling the requirement for scalable systems that can be customized to meet various logistics demands. Leading suppliers like SAP and Oracle are always coming up with new ways to improve functionality and user experience by integrating AI.
The cloud-based segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the cloud-based segment is predicted to witness the highest growth rate due to its scalability, affordability, and remote accessibility. Large companies gain from real-time data exchange over international networks, while SMEs prefer cloud platforms for their cheaper upfront costs and smooth updates. Additionally, hybrid cloud solutions support adoption in regulated businesses by addressing data sovereignty concerns. The move to subscription-based pricing satisfies demands for financial flexibility and solidifies cloud computing as a key segment in digital logistics.
Region with largest share:
During the forecast period, the North America region is expected to hold the largest market share because of its developed technology infrastructure, high rate of e-commerce, and presence of forward-thinking logistics companies like FedEx and UPS. Government programs that support sustainability and smart transportation further accelerate adoption. Furthermore, the area maintains its market supremacy by concentrating on using blockchain and artificial intelligence to reduce supply chain bottlenecks.
Region with highest CAGR:
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by the expansion of e-commerce in China and India as well as efforts to modernize infrastructure. Governments make significant investments in digital trade routes and smart ports, and SMEs use cloud computing to become more competitive. Cross-border trade agreements, urbanization, and growing disposable incomes further increase the need for effective logistics networks in the region.
Key players in the market
Some of the key players in Digital Logistics Market include SAP SE, Oracle Corporation, IBM Corporation, Microsoft Corporation, Deutsche Post DHL Group, FedEx Corporation, Kuehne + Nagel International AG, C.H. Robinson Worldwide, Inc., Trimble Inc., Descartes Systems Group, Manhattan Associates, Inc., Project44, FourKites, Expeditors International, XPO Logistics, Inc., United Parcel Service (UPS), A.P. Moller – Maersk, and DSV Panalpina A/S.
Key Developments:
In April 2025, IBM announced it has acquired Hakkoda Inc., a leading global data and AI consultancy. Hakkoda will expand IBM Consulting's data transformation services portfolio, adding specialized data platform expertise to help clients get their data ready to fuel AI-powered business operations. This acquisition amplifies IBM's ability to meet the rapidly growing demand for data services and help clients build integrated enterprise data estates that are optimized for speed, cost and efficiency across multiple business use cases.
In October 2024, C.H. Robinson achieved automation across the entire lifecycle of a freight shipment using generative AI. This technology automates tasks from pricing to delivery, processing over 10,000 routine transactions daily, reducing processing time from hours to seconds.
Components Covered:
• Solutions
• Services
Deployment Modes Covered:
• Cloud-Based
• On-Premise
Organization Sizes Covered:
• Large Enterprises
• Small and Medium-Sized Enterprises (SMEs)
Technologies Covered:
• Internet of Things (IoT)
• Big Data Analytics
• Artificial Intelligence (AI) and Machine Learning (ML)
• Blockchain Technology
• Cloud Computing
• Mobile Logistics
• Telematics and GPS
• Robotics and Automation
Applications Covered:
• Warehouse Management
• Transportation and Freight Management
• Inventory Management
• Supply Chain Visibility
• Labor Management
• Last-Mile Delivery
End Users Covered:
• Retail and E-commerce
• Manufacturing
• Healthcare and Pharmaceuticals
• Automotive
• Energy and Utilities
• Food and Beverage
• Logistics and Transportation Providers
• Other End Users
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 End User Analysis
3.9 Emerging Markets
3.10 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 Logistics Market, By Component
5.1 Introduction
5.2 Solutions
5.2.1 Transportation Management Systems (TMS)
5.2.2 Warehouse Management Systems (WMS)
5.2.3 Inventory Management Solutions
5.2.4 Supply Chain Visibility Solutions
5.2.5 Fleet Management Systems
5.2.6 Order Management Systems
5.2.7 Electronic Data Interchange (EDI) Solutions
5.3 Services
5.3.1 Planning and Consulting
5.3.2 Implementation and Integration
5.3.3 Support and Maintenance
6 Global Digital Logistics Market, By Deployment Mode
6.1 Introduction
6.2 Cloud-Based
6.3 On-Premise
7 Global Digital Logistics Market, By Organization Size
7.1 Introduction
7.2 Large Enterprises
7.3 Small and Medium-Sized Enterprises (SMEs)
8 Global Digital Logistics Market, By Technology
8.1 Introduction
8.2 Internet of Things (IoT)
8.3 Big Data Analytics
8.4 Artificial Intelligence (AI) and Machine Learning (ML)
8.5 Blockchain Technology
8.6 Cloud Computing
8.7 Mobile Logistics
8.8 Telematics and GPS
8.9 Robotics and Automation
9 Global Digital Logistics Market, By Application
9.1 Introduction
9.2 Warehouse Management
9.3 Transportation and Freight Management
9.4 Inventory Management
9.5 Supply Chain Visibility
9.6 Labor Management
9.7 Last-Mile Delivery
10 Global Digital Logistics Market, By End User
10.1 Introduction
10.2 Retail and E-commerce
10.3 Manufacturing
10.4 Healthcare and Pharmaceuticals
10.5 Automotive
10.6 Energy and Utilities
10.7 Food and Beverage
10.8 Logistics and Transportation Providers
10.9 Other End Users
11 Global Digital Logistics 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 SAP SE
13.2 Oracle Corporation
13.3 IBM Corporation
13.4 Microsoft Corporation
13.5 Deutsche Post DHL Group
13.6 FedEx Corporation
13.7 Kuehne + Nagel International AG
13.8 C.H. Robinson Worldwide, Inc.
13.9 Trimble Inc.
13.10 Descartes Systems Group
13.11 Manhattan Associates, Inc.
13.12 Project44
13.13 FourKites
13.14 Expeditors International
13.15 XPO Logistics, Inc.
13.16 United Parcel Service (UPS)
13.17 A.P. Moller – Maersk
13.18 DSV Panalpina A/S
List of Tables
1 Global Digital Logistics Market Outlook, By Region (2024-2032) ($MN)
2 Global Digital Logistics Market Outlook, By Component (2024-2032) ($MN)
3 Global Digital Logistics Market Outlook, By Solutions (2024-2032) ($MN)
4 Global Digital Logistics Market Outlook, By Transportation Management Systems (TMS) (2024-2032) ($MN)
5 Global Digital Logistics Market Outlook, By Warehouse Management Systems (WMS) (2024-2032) ($MN)
6 Global Digital Logistics Market Outlook, By Inventory Management Solutions (2024-2032) ($MN)
7 Global Digital Logistics Market Outlook, By Supply Chain Visibility Solutions (2024-2032) ($MN)
8 Global Digital Logistics Market Outlook, By Fleet Management Systems (2024-2032) ($MN)
9 Global Digital Logistics Market Outlook, By Order Management Systems (2024-2032) ($MN)
10 Global Digital Logistics Market Outlook, By Electronic Data Interchange (EDI) Solutions (2024-2032) ($MN)
11 Global Digital Logistics Market Outlook, By Services (2024-2032) ($MN)
12 Global Digital Logistics Market Outlook, By Planning and Consulting (2024-2032) ($MN)
13 Global Digital Logistics Market Outlook, By Implementation and Integration (2024-2032) ($MN)
14 Global Digital Logistics Market Outlook, By Support and Maintenance (2024-2032) ($MN)
15 Global Digital Logistics Market Outlook, By Deployment Mode (2024-2032) ($MN)
16 Global Digital Logistics Market Outlook, By Cloud-Based (2024-2032) ($MN)
17 Global Digital Logistics Market Outlook, By On-Premise (2024-2032) ($MN)
18 Global Digital Logistics Market Outlook, By Organization Size (2024-2032) ($MN)
19 Global Digital Logistics Market Outlook, By Large Enterprises (2024-2032) ($MN)
20 Global Digital Logistics Market Outlook, By Small and Medium-Sized Enterprises (SMEs) (2024-2032) ($MN)
21 Global Digital Logistics Market Outlook, By Technology (2024-2032) ($MN)
22 Global Digital Logistics Market Outlook, By Internet of Things (IoT) (2024-2032) ($MN)
23 Global Digital Logistics Market Outlook, By Big Data Analytics (2024-2032) ($MN)
24 Global Digital Logistics Market Outlook, By Artificial Intelligence (AI) and Machine Learning (ML) (2024-2032) ($MN)
25 Global Digital Logistics Market Outlook, By Blockchain Technology (2024-2032) ($MN)
26 Global Digital Logistics Market Outlook, By Cloud Computing (2024-2032) ($MN)
27 Global Digital Logistics Market Outlook, By Mobile Logistics (2024-2032) ($MN)
28 Global Digital Logistics Market Outlook, By Telematics and GPS (2024-2032) ($MN)
29 Global Digital Logistics Market Outlook, By Robotics and Automation (2024-2032) ($MN)
30 Global Digital Logistics Market Outlook, By Application (2024-2032) ($MN)
31 Global Digital Logistics Market Outlook, By Warehouse Management (2024-2032) ($MN)
32 Global Digital Logistics Market Outlook, By Transportation and Freight Management (2024-2032) ($MN)
33 Global Digital Logistics Market Outlook, By Inventory Management (2024-2032) ($MN)
34 Global Digital Logistics Market Outlook, By Supply Chain Visibility (2024-2032) ($MN)
35 Global Digital Logistics Market Outlook, By Labor Management (2024-2032) ($MN)
36 Global Digital Logistics Market Outlook, By Last-Mile Delivery (2024-2032) ($MN)
37 Global Digital Logistics Market Outlook, By End User (2024-2032) ($MN)
38 Global Digital Logistics Market Outlook, By Retail and E-commerce (2024-2032) ($MN)
39 Global Digital Logistics Market Outlook, By Manufacturing (2024-2032) ($MN)
40 Global Digital Logistics Market Outlook, By Healthcare and Pharmaceuticals (2024-2032) ($MN)
41 Global Digital Logistics Market Outlook, By Automotive (2024-2032) ($MN)
42 Global Digital Logistics Market Outlook, By Energy and Utilities (2024-2032) ($MN)
43 Global Digital Logistics Market Outlook, By Food and Beverage (2024-2032) ($MN)
44 Global Digital Logistics Market Outlook, By Logistics and Transportation Providers (2024-2032) ($MN)
45 Global Digital Logistics Market Outlook, By Other End Users (2024-2032) ($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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