The Digital Logistics Market was valued at USD 28.7 Billion in 2023 and is expected to reach USD 128.1 Billion by 2032, growing at a CAGR of 18.13% from 2024-2032.
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The Digital Logistics Market is rapidly evolving, driven by the increasing need for improved supply chain efficiency, real-time tracking, and automation. By integrating technologies like IoT, artificial intelligence, machine learning, blockchain, and cloud computing into logistics operations, businesses can streamline processes, reduce costs, and enhance customer satisfaction through real-time visibility of inventory, shipments, and delivery schedules. A key growth driver for the digital logistics market is the surging demand for e-commerce, which has created a need for more reliable and efficient logistics solutions. As e-commerce expands, businesses are increasingly adopting digital logistics to manage their supply chains, track shipments, and ensure timely deliveries. Another important factor propelling the market is the growing focus on sustainability in logistics operations. Digital solutions, such as route optimization algorithms, help businesses reduce fuel consumption and lower carbon emissions, aligning with global sustainability targets. According to McKinsey, logistics operations contribute to nearly 8% of global carbon emissions, prompting companies to implement digital solutions that promote energy efficiency and environmental responsibility. With global supply chain disruptions, businesses turned to digital platforms for real-time visibility and to mitigate risks. A report revealed that 79% of supply chain executives were increasing investments in digital supply chain technologies to enhance resilience and navigate pandemic-related disruptions.
The continued investment in digital logistics technologies, along with the growing demand for e-commerce and sustainability, is expected to drive substantial market growth. Moreover, the rise of smart warehouses, automated delivery systems, and data-driven decision-making will shape the future of logistics, making it more efficient, agile, and better equipped to meet consumer demands.
Drivers
The rise of automated warehouses and delivery systems improves operational efficiency, reducing human intervention and enhancing speed and accuracy in logistics.
The growth of the Digital Logistics Market is significantly driven by the rise of automated warehouses and delivery systems. Automation in logistics incorporates robotics, artificial intelligence, and machine learning to enhance warehouse operations and streamline delivery processes. In automated warehouses, robots and conveyor belts manage inventory, reducing reliance on manual labor and minimizing errors. These systems accelerate sorting, packaging, and shipping, boosting overall operational efficiency. By leveraging AI, automated warehouses can forecast demand, optimize storage, and enhance inventory management, ensuring products are available when required.
In addition, automated delivery systems, such as drones and autonomous vehicles, are transforming the logistics landscape by reducing delivery times and improving accuracy. These technologies enable faster last-mile deliveries, which are typically the most time-consuming and expensive part of the logistics chain. By minimizing human involvement, automated systems not only improve speed but also reduce operational costs, as fewer resources are needed for manual tasks. Automation also enhances the precision of logistics operations, as automated systems are less prone to human error, ensuring accurate inventory tracking and timely deliveries. Moreover, these systems provide real-time data, allowing businesses to monitor performance, adjust strategies, and boost customer satisfaction. As these technologies continue to advance, the Digital Logistics Market is set to expand, with companies increasingly adopting automated solutions to remain competitive and meet the growing demand for faster, more efficient logistics services.
The increasing demand for online shopping drives the need for efficient logistics solutions to manage inventory, track shipments, and ensure timely deliveries.
Integration of IoT, AI, machine learning, and blockchain enhances real-time tracking, automation, and data-driven decision-making in logistics operations.
Restraints
Integrating new digital solutions with existing legacy systems can be complex and time-consuming, leading to operational disruptions.
The integration of new digital solutions with legacy systems is a significant challenge in the Digital Logistics Market. Many logistics companies still rely on older systems for inventory management, shipment tracking, and other operations, which may not be compatible with advanced technologies like AI, IoT, and blockchain. Integrating these modern technologies with legacy systems can be a complex and time-consuming process due to differences in data formats, system interfaces, and operational workflows. This integration challenge can lead to operational disruptions as businesses face compatibility issues, system downtime, and the risk of data loss or corruption. For example, if a company’s warehouse management system is outdated, incorporating it with a new automated inventory tracking or sorting system could require substantial adjustments. During this transition, businesses may experience delays in order processing, inventory discrepancies, or disruptions in the supply chain.
Moreover, integrating new digital solutions often requires specialized knowledge and expertise that may not be readily available within the existing workforce. This can lead to higher costs for hiring or training employees with the necessary skills. The complexity of aligning new systems with existing legacy technology can also extend project timelines, delaying the expected benefits such as improved efficiency and reduced operational costs. As a result, businesses may be reluctant to adopt digital logistics solutions due to the potential disruptions and costs associated with the integration process.
The cost of implementing advanced digital logistics technologies such as AI, robotics, and IoT can be prohibitive for small and medium-sized enterprises
The reliance on cloud-based systems and real-time data sharing increases the risk of cyberattacks and data breaches.
By Component
The solutions segment dominated the market and represented a revenue share of more than 64% in 2023, due to the increasing demand for comprehensive, technology-driven solutions that address complex industry challenges. Businesses are seeking integrated solutions that enhance operational efficiency, improve decision-making, and streamline processes. The rapid adoption of AI, IoT, and cloud-based technologies is further driving the growth of the solutions segment, as these technologies enable automation, real-time data processing, and enhanced analytics. As industries such as manufacturing, agriculture, and healthcare embrace digital transformation, the need for scalable, customizable solutions is expected to continue growing, making this segment the market leader.
The services segment is projected to register the fastest CAGR during the forecast period, driven by the increasing demand for expert support and consulting. As businesses adopt more complex digital solutions, the need for specialized services, including implementation, integration, and maintenance, is rising. The growing focus on optimizing system performance, ensuring compliance, and enhancing user experience is further contributing to the demand for services. Additionally, the rise of managed services, where third-party providers handle ongoing operations, is expected to boost market growth. As digital transformation accelerates, the services segment is set to become a key growth driver.
By Deployment
The cloud segment dominated the market and accounted for a revenue share of more than 75% in 2023, due to its scalability, flexibility, and cost-effectiveness. Companies are increasingly adopting cloud-based platforms to lower infrastructure costs, enhance accessibility, and foster collaboration. Cloud solutions support real-time data processing, seamless updates, and the integration of advanced technologies like AI and IoT. The rising demand for remote work solutions, data storage, and disaster recovery further drives cloud adoption. Additionally, cloud platforms offer robust security features and ensure compliance with industry regulations, making them attractive to businesses across sectors such as finance, healthcare, and retail.
The on-premises segment is projected to experience the fastest growth during the forecast period, driven by the need for greater control over sensitive data and security. Industries such as banking, government, and healthcare, where data privacy and compliance are paramount, prefer on-premises solutions. The ability to tailor on-premises systems to specific organizational needs, coupled with increasing concerns over data sovereignty and cybersecurity, is fueling demand. As organizations continue to prioritize security and data integrity, the on-premises segment is expected to witness substantial growth in the coming years.
Regional Analysis
North America dominated the market and accounted for a revenue share of more than 36% in 2023, due to its early adoption of advanced technologies and a strong presence of key players. The region's highly developed infrastructure, coupled with its focus on digital transformation across industries, has fueled the demand for cloud-based solutions and advanced digital tools. The United States, in particular, is home to several major technology companies, making it a hub for innovation and technological advancements. Additionally, the increasing adoption of AI, IoT, and big data analytics in sectors like healthcare, finance, and retail has contributed to the region's market leadership. The strong regulatory environment and emphasis on data security also drive the adoption of advanced technologies in North America.
The Asia-Pacific region is expected to register the fastest CAGR during the forecast period, driven by rapid industrialization, urbanization, and digital transformation initiatives across emerging economies. Countries like China, India, and Japan are investing heavily in technology infrastructure, including cloud computing, AI, and IoT. The growing demand for automation, efficient supply chain management, and data-driven decision-making in sectors like manufacturing, agriculture, and retail is further fueling market growth. Additionally, the increasing adoption of smart cities and government initiatives to promote digitalization are expected to drive significant growth in the APAC region. As businesses in the region embrace digital tools, the market is poised for rapid expansion.
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The major key players along with their headquarters
SAP – Walldorf, Germany
Oracle – Austin, Texas, USA
DHL Supply Chain – Bonn, Germany
IBM – Armonk, New York, USA
Tata Consultancy Services (TCS) – Mumbai, India
C.H. Robinson – Eden Prairie, Minnesota, USA
JDA Software (Blue Yonder) – Scottsdale, Arizona, USA
XPO Logistics – Greenwich, Connecticut, USA
Kuehne + Nagel – Schindellegi, Switzerland
Siemens – Munich, Germany
Geodis – Levallois-Perret, France
Ryder System – Miami, Florida, USA
Transplace – Frisco, Texas, USA
Manhattan Associates – Atlanta, Georgia, USA
Infosys – Bangalore, India
Recent Developments
In January 2024, discussions resurfaced regarding the privatization of the United States Postal Service (USPS), following significant financial losses of $9.5 billion in 2024. Privatization could lead to slower deliveries, higher shipping costs, and reduced services, particularly impacting remote areas. The USPS's "universal service obligation" ensures consistent rates nationwide, but without it, private companies may prioritize profit, potentially increasing costs, especially for rural deliveries.
|
Report Attributes |
Details |
|
Market Size in 2023 |
USD 28.7 Billion |
|
Market Size by 2032 |
USD 128.1 Billion |
|
CAGR |
CAGR of 18.13% From 2024 to 2032 |
|
Base Year |
2023 |
|
Forecast Period |
2024-2032 |
|
Historical Data |
2020-2022 |
|
Report Scope & Coverage |
Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
|
Key Segments |
• By Component (Solutions, Services) |
|
Regional Analysis/Coverage |
North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
|
Company Profiles |
SAP, Oracle, DHL Supply Chain, IBM, Tata Consultancy Services (TCS), C.H. Robinson, JDA Software (Blue Yonder), XPO Logistics, Kuehne + Nagel, Siemens, Geodis, Ryder System, Transplace, Manhattan Associates, Infosys |
|
Key Drivers |
• The increasing demand for online shopping drives the need for efficient logistics solutions to manage inventory, track shipments, and ensure timely deliveries. |
|
RESTRAINTS |
• The cost of implementing advanced digital logistics technologies such as AI, robotics, and IoT can be prohibitive for small and medium-sized enterprises |
Ans.The reliance on cloud-based systems and real-time data sharing increases the risk of cyberattacks and data breaches.
Ans. The increasing demand for online shopping drives the need for efficient logistics solutions to manage inventory, track shipments, and ensure timely deliveries.
Ans: - Asia-Pacific is expected to register the fastest CAGR during the forecast period.
Ans: The CAGR of the Digital Logistics Market during the forecast period is 18.13% from 2024-2032.
Ans:
The Digital Logistics Market was valued at USD 28.7 Billion in 2023 and is expected to reach USD 128.1 Billion by 2032
TABLE OF CONTENTS
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Adoption Rates of Emerging Technologies
5.2 Network Infrastructure Expansion, by Region
5.3 Cybersecurity Incidents, by Region (2020-2023)
5.4 Cloud Services Usage, by Region
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Digital Logistics Market Segmentation, by Component
7.1 Chapter Overview
7.2 Solution
7.2.1 Solution Market Trends Analysis (2020-2032)
7.2.2 Solution Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3Services
7.3.1Services Market Trends Analysis (2020-2032)
7.3.2Services Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Digital Logistics Market Segmentation, By Deployment
8.1 Chapter Overview
8.2 Cloud
8.2.1 Cloud Market Trends Analysis (2020-2032)
8.2.2 Cloud Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 On-premises
8.3.1 On-premises Market Trends Analysis (2020-2032)
8.3.2 On-premises Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Digital Logistics Market Segmentation, By Application
9.1 Chapter Overview
9.2 Transportation Management
9.2.1 Transportation Management Market Trends Analysis (2020-2032)
9.2.2 Transportation Management Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Warehouse Management
9.3.1 Warehouse Management Market Trends Analysis (2020-2032)
9.3.2 Warehouse Management Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Order Management
9.4.1 Order Management Market Trends Analysis (2020-2032)
9.4.2 Order Management Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 EDI
9.5.1 EDI Market Trends Analysis (2020-2032)
9.5.2 EDI Market Size Estimates and Forecasts to 2032 (USD Billion)
9.6 Others
9.6.1 Others Market Trends Analysis (2020-2032)
9.6.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Digital Logistics Market Segmentation, By End-use
10.1 Chapter Overview
10.2 Automotive
10.2.1 Automotive Market Trends Analysis (2020-2032)
10.2.2 Automotive Market Size Estimates and Forecasts to 2032 (USD Billion)
10.3 Retail & E-commerce
10.3.1 Retail & E-commerce Market Trends Analysis (2020-2032)
10.3.2 Retail & E-commerce Market Size Estimates and Forecasts to 2032 (USD Billion)
10.4 Food & Beverage
10.4.1 Food & Beverage Market Trends Analysis (2020-2032)
10.4.2 Food & Beverage Market Size Estimates and Forecasts to 2032 (USD Billion)
10.5 Healthcare & Pharmaceuticals
10.5.1 Healthcare & Pharmaceuticals Market Trends Analysis (2020-2032)
10.5.2 Healthcare & Pharmaceuticals Market Size Estimates and Forecasts to 2032 (USD Billion)
10.6 Consumer Electronics
10.6.1 Consumer Electronics Market Trends Analysis (2020-2032)
10.6.2 Consumer Electronics Market Size Estimates and Forecasts to 2032 (USD Billion)
10.7 Others
10.7.1 Others Market Trends Analysis (2020-2032)
10.7.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
11. Regional Analysis
11.1 Chapter Overview
11.2 North America
11.2.1 Trends Analysis
11.2.2 North America Digital Logistics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.2.3 North America Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.2.4 North America Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.2.5 North America Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.2.6 North America Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.2.7 USA
11.2.7.1 USA Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.2.7.2 USA Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.2.7.3 USA Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.2.7.4 USA Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.2.8 Canada
11.2.8.1 Canada Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.2.8.2 Canada Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.2.8.3 Canada Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.2.8.4 Canada Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.2.9 Mexico
11.2.9.1 Mexico Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.2.9.2 Mexico Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.2.9.3 Mexico Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.2.9.4 Mexico Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3 Europe
11.3.1 Eastern Europe
11.3.1.1 Trends Analysis
11.3.1.2 Eastern Europe Digital Logistics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.3.1.3 Eastern Europe Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.1.4 Eastern Europe Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.1.5 Eastern Europe Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.6 Eastern Europe Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3.1.7 Poland
11.3.1.7.1 Poland Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.1.7.2 Poland Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.1.7.3 Poland Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.7.4 Poland Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3.1.8 Romania
11.3.1.8.1 Romania Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.1.8.2 Romania Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.1.8.3 Romania Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.8.4 Romania Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3.1.9 Hungary
11.3.1.9.1 Hungary Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.1.9.2 Hungary Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.1.9.3 Hungary Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.9.4 Hungary Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3.1.10 Turkey
11.3.1.10.1 Turkey Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.1.10.2 Turkey Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.1.10.3 Turkey Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.10.4 Turkey Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3.1.11 Rest of Eastern Europe
11.3.1.11.1 Rest of Eastern Europe Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.1.11.2 Rest of Eastern Europe Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.1.11.3 Rest of Eastern Europe Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.11.4 Rest of Eastern Europe Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3.2 Western Europe
11.3.2.1 Trends Analysis
11.3.2.2 Western Europe Digital Logistics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.3.2.3 Western Europe Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.2.4 Western Europe Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.2.5 Western Europe Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.6 Western Europe Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3.2.7 Germany
11.3.2.7.1 Germany Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.2.7.2 Germany Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.2.7.3 Germany Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.7.4 Germany Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3.2.8 France
11.3.2.8.1 France Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.2.8.2 France Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.2.8.3 France Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.8.4 France Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3.2.9 UK
11.3.2.9.1 UK Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.2.9.2 UK Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.2.9.3 UK Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.9.4 UK Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3.2.10 Italy
11.3.2.10.1 Italy Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.2.10.2 Italy Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.2.10.3 Italy Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.10.4 Italy Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3.2.11 Spain
11.3.2.11.1 Spain Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.2.11.2 Spain Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.2.11.3 Spain Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.11.4 Spain Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3.2.12 Netherlands
11.3.2.12.1 Netherlands Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.2.12.2 Netherlands Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.2.12.3 Netherlands Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.12.4 Netherlands Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3.2.13 Switzerland
11.3.2.13.1 Switzerland Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.2.13.2 Switzerland Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.2.13.3 Switzerland Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.13.4 Switzerland Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3.2.14 Austria
11.3.2.14.1 Austria Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.2.14.2 Austria Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.2.14.3 Austria Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.14.4 Austria Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.3.2.15 Rest of Western Europe
11.3.2.15.1 Rest of Western Europe Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.3.2.15.2 Rest of Western Europe Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.3.2.15.3 Rest of Western Europe Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.15.4 Rest of Western Europe Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.4 Asia Pacific
11.4.1 Trends Analysis
11.4.2 Asia Pacific Digital Logistics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.4.3 Asia Pacific Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.4.4 Asia Pacific Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.4.5 Asia Pacific Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.6 Asia Pacific Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.4.7 China
11.4.7.1 China Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.4.7.2 China Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.4.7.3 China Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.7.4 China Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.4.8 India
11.4.8.1 India Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.4.8.2 India Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.4.8.3 India Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.8.4 India Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.4.9 Japan
11.4.9.1 Japan Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.4.9.2 Japan Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.4.9.3 Japan Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.9.4 Japan Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.4.10 South Korea
11.4.10.1 South Korea Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.4.10.2 South Korea Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.4.10.3 South Korea Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.10.4 South Korea Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.4.11 Vietnam
11.4.11.1 Vietnam Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.4.11.2 Vietnam Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.4.11.3 Vietnam Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.11.4 Vietnam Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.4.12 Singapore
11.4.12.1 Singapore Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.4.12.2 Singapore Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.4.12.3 Singapore Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.12.4 Singapore Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.4.13 Australia
11.4.13.1 Australia Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.4.13.2 Australia Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.4.13.3 Australia Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.13.4 Australia Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.4.14 Rest of Asia Pacific
11.4.14.1 Rest of Asia Pacific Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.4.14.2 Rest of Asia Pacific Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.4.14.3 Rest of Asia Pacific Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.14.4 Rest of Asia Pacific Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.5 Middle East and Africa
11.5.1 Middle East
11.5.1.1 Trends Analysis
11.5.1.2 Middle East Digital Logistics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.5.1.3 Middle East Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.5.1.4 Middle East Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.5.1.5 Middle East Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.6 Middle East Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.5.1.7 UAE
11.5.1.7.1 UAE Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.5.1.7.2 UAE Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.5.1.7.3 UAE Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.7.4 UAE Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.5.1.8 Egypt
11.5.1.8.1 Egypt Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.5.1.8.2 Egypt Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.5.1.8.3 Egypt Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.8.4 Egypt Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.5.1.9 Saudi Arabia
11.5.1.9.1 Saudi Arabia Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.5.1.9.2 Saudi Arabia Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.5.1.9.3 Saudi Arabia Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.9.4 Saudi Arabia Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.5.1.10 Qatar
11.5.1.10.1 Qatar Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.5.1.10.2 Qatar Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.5.1.10.3 Qatar Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.10.4 Qatar Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.5.1.11 Rest of Middle East
11.5.1.11.1 Rest of Middle East Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.5.1.11.2 Rest of Middle East Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.5.1.11.3 Rest of Middle East Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.11.4 Rest of Middle East Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.5.2 Africa
11.5.2.1 Trends Analysis
11.5.2.2 Africa Digital Logistics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.5.2.3 Africa Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.5.2.4 Africa Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.5.2.5 Africa Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.2.6 Africa Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.5.2.7 South Africa
11.5.2.7.1 South Africa Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.5.2.7.2 South Africa Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.5.2.7.3 South Africa Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.2.7.4 South Africa Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.5.2.8 Nigeria
11.5.2.8.1 Nigeria Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.5.2.8.2 Nigeria Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.5.2.8.3 Nigeria Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.2.8.4 Nigeria Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.5.2.9 Rest of Africa
11.5.2.9.1 Rest of Africa Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.5.2.9.2 Rest of Africa Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.5.2.9.3 Rest of Africa Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.2.9.4 Rest of Africa Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.6 Latin America
11.6.1 Trends Analysis
11.6.2 Latin America Digital Logistics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.6.3 Latin America Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.6.4 Latin America Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.6.5 Latin America Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.6.6 Latin America Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.6.7 Brazil
11.6.7.1 Brazil Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.6.7.2 Brazil Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.6.7.3 Brazil Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.6.7.4 Brazil Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.6.8 Argentina
11.6.8.1 Argentina Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.6.8.2 Argentina Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.6.8.3 Argentina Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.6.8.4 Argentina Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.6.9 Colombia
11.6.9.1 Colombia Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.6.9.2 Colombia Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.6.9.3 Colombia Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.6.9.4 Colombia Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11.6.10 Rest of Latin America
11.6.10.1 Rest of Latin America Digital Logistics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
11.6.10.2 Rest of Latin America Digital Logistics Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11.6.10.3 Rest of Latin America Digital Logistics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.6.10.4 Rest of Latin America Digital Logistics Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
12. Company Profiles
12.1 DHL Supply Chain
12.1.1 Company Overview
12.1.2 Financial
12.1.3 Products/ Services Offered
12.1.4 SWOT Analysis
12.2 Tata Consultancy Services (TCS)
12.2.1 Company Overview
12.2.2 Financial
12.2.3 Products/ Services Offered
12.2.4 SWOT Analysis
12.3 C.H. Robinson
12.3.1 Company Overview
12.3.2 Financial
12.3.3 Products/ Services Offered
12.3.4 SWOT Analysis
12.4 IBM
12.4.1 Company Overview
12.4.2 Financial
12.4.3 Products/ Services Offered
12.4.4 SWOT Analysis
12.5 JDA Software
12.5.1 Company Overview
12.5.2 Financial
12.5.3 Products/ Services Offered
12.5.4 SWOT Analysis
12.6 XPO Logistics
12.6.1 Company Overview
12.6.2 Financial
12.6.3 Products/ Services Offered
12.6.4 SWOT Analysis
12.7 Siemens
12.7.1 Company Overview
12.7.2 Financial
12.7.3 Products/ Services Offered
12.7.4 SWOT Analysis
12.8 Geodis
12.8.1 Company Overview
12.8.2 Financial
12.8.3 Products/ Services Offered
12.8.4 SWOT Analysis
12.9 Ryder System
12.9.1 Company Overview
12.9.2 Financial
12.9.3 Products/ Services Offered
12.9.4 SWOT Analysis
12.10 Transplace
12.10.1 Company Overview
12.10.2 Financial
12.10.3 Products/ Services Offered
12.10.4 SWOT Analysis
13. Use Cases and Best Practices
14. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Component
Solutions
Services
By Deployment
Cloud
On-premises
By Application
Transportation Management
Warehouse Management
Order Management
EDI
Others
By End-Use
Retail & E-commerce
Automotive
Healthcare & Pharmaceuticals
Food & Beverage
Consumer Electronics
Others
Request for Segment Customization as per your Business Requirement: Segment Customization Request
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Product Matrix which gives a detailed comparison of product portfolio of each company
Geographic Analysis
Additional countries in any of the regions
Company Information
Detailed analysis and profiling of additional market players (Up to five)
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