The cloud logistics market is estimated to be valued at US$ 21.3 billion in 2024. The market is expected to reach US$ 67.8 billion by 2034, developing at a CAGR of 12.3%.
Attributes | Key Insights |
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Cloud Logistics Market Estimated Size in 2024 | US$ 21.3 billion |
Projected Market Value in 2034 | US$ 67.8 billion |
Value-based CAGR from 2024 to 2034 | 12.3% |
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The cloud logistics market began to gain traction owing to the potential benefits of cloud-based solutions for streamlining supply chain processes. Initial adoption was gradual, primarily focusing on basic functionalities like transportation management systems (TMS) and warehouse management systems (WMS).
Initially, industries like retail and manufacturing were early adopters, but over time, cloud logistics solutions penetrated various sectors, including healthcare, automotive, aerospace, and more. The need for efficient supply chains amid globalization and the rise of e-commerce significantly fueled market growth.
Technologies like blockchain for enhanced security and transparency, 5G for improved connectivity, and further advancements in AI and machine learning are anticipated to reshape the cloud logistics landscape, offering more sophisticated and efficient solutions. The demand for cloud logistics is projected to rise at a CAGR of 12.3% from 2024 to 2034.
Market Value 2023 | US$ 19.4 billion |
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Market Value in 2034 | US$ 67.8 billion |
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Forecast CAGRs from 2024 to 2034
Japan | 13.5% |
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The United States | 10.1% |
China | 12.8% |
Australia | 15.8% |
Germany | 11.7% |
The cloud logistics market in the United States is predicted to remain among the most attractive markets during the forecast period. According to the study, the country is expected to witness an impressive CAGR of 10.1% by 2034.
The United States is a hub for technological innovation, and this extends to logistics. Integrating cloud-based solutions with advanced technologies like IoT, AI, and Big Data analytics has greatly enhanced the efficiency and scalability of logistics operations.
The rapid growth of e-commerce, particularly in the United States, has been a major driver for cloud logistics. The need for faster, more flexible, and efficient logistics solutions to meet the demands of online retail has propelled the adoption of cloud-based systems.
The surge in online retail has catalyzed the need for efficient logistics solutions, prompting companies to adopt cloud-based systems to manage the increasing volume of shipments and optimize delivery routes. The cloud logistics market in China is projected to rise at a CAGR of 12.8% from 2024 to 2034.
The Chinese government has been actively promoting technological advancements in logistics. Initiatives such as 'Internet Plus' and the 'Belt and Road' project emphasize integrating technology in logistics, encouraging investments, and fostering innovation in cloud-based solutions.
Due to increased technological innovation, Japan is expected to remain at the forefront of the cloud logistics market. The market in Japan is expected to grow with a CAGR of 13.5% during 2024-2034.
Japan, known for its innovation, has actively integrated cloud-based solutions into logistics operations. Adopting advanced technologies like IoT, AI, and Big Data analytics has improved supply chain visibility, efficiency, and decision-making processes.
Cloud logistics solutions offer automation and optimization, helping mitigate labor shortages' impact on supply chain management. The demand for faster and more efficient logistics solutions has led companies to invest in cloud-based systems to meet the needs of the growing e-commerce sector.
The market in Germany is expected to grow with a CAGR of 11.7% during 2024-2034. Robust manufacturing and export-oriented economy have increased the demand for efficient logistics solutions. Cloud-based systems offer scalability and agility to manage complex supply chains in the automotive, machinery, and chemical industries.
Integration of cloud technologies with IoT, AI, and automation has improved logistics efficiency, inventory management, and predictive maintenance within the country. The need for quick, reliable, and traceable logistics solutions has pushed companies to adopt cloud-based systems to meet the demands of online retail. Government initiatives supporting digitalization and smart logistics have encouraged businesses to adopt cloud-based solutions in Germany.
The cloud logistics market in Australia is poised to expand at a CAGR of 15.8% through 2034. The growing technological advances and increased integration of cloud-based logistics with IoT, AI, and automation enhance supply chain visibility, predictive analytics, and decision-making processes, driving market growth in Australia.
The growing government initiatives and policies promoting technology adoption and investment in infrastructure have encouraged businesses to leverage cloud logistics solutions for more efficient operations in the country.
According to market forecasts, the web-based OS segment will dominate until 2034, with a market share of 53.0%. The large enterprises segment is expected to have a share of 66.0%
Category | Market share |
---|---|
Web Based OS | 53.0% |
Large Enterprises | 66.0% |
Web-based OS segment dominated the market with a revenue share of 53.0% in 2024. Web-based software is accessed and operated through the internet using a web browser. It is purposely built to expedite and improve many areas of logistics management, such as transportation, inventory control, order monitoring, and supply chain coordination.
This sort of software enables users to view and control logistics data and operations from any place with internet connectivity, allowing for more ease and flexibility in logistics management.
Web-based logistics software frequently provides real-time tracking and reporting capabilities, allowing for more effective decision-making and overall logistics efficiency.
The large enterprise segment dominated the market with a revenue share of 66.0% in 2024. It is anticipated to remain prevalent over the forecast period owing to its heavy utilization. Logistics cloud is becoming a more popular option for large enterprises as they want to streamline their supply chain and logistics operations.
Such solutions enable major organizations to grow their logistics operations as needed. Cloud-based solutions can rapidly and efficiently adapt to changing requirements, whether handling increasing demand during peak seasons or expanding into new areas.
Advanced analytics and machine learning are used in supply chain systems to estimate demand, optimize routes, and identify possible supply chain issues. These insights allow large enterprises to make more informed decisions and improve operational efficiency.
Key players are focusing on organic growth strategies like product launches and product approval. Collaborations and partnerships with key players and the acquisition of niche players are critical strategies followed by leading cloud logistics in the market.
Key Developments
Attributes | Details |
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Estimated Market Size in 2024 | US$ 21.3 billion |
Projected Market Valuation in 2034 | US$ 67.8 billion |
Value-based CAGR 2024 to 2034 | 12.3% |
Forecast Period | 2024 to 2034 |
Historical Data Available for | 2019 to 2023 |
Market Analysis | Value in US$ billion |
Key Regions Covered |
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Key Market Segments Covered |
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Key Countries Profiled |
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Key Companies Profiled |
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As of 2024, the market for cloud logistics is expected to be valued at US$ 21.3 billion.
By 2034, the market value of cloud logistics is expected to reach US$ 67.8 billion.
From 2024to 2034, cloud logistics are expected to flourish at a CAGR of 12.3%
The large enterprise segment is expected to account for a market share of 66.0% in 2024.
The Australia is likely the top-performing market with a CAGR of 15.8%.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2019 to 2023 and Forecast, 2024 to 2034 4.1. Historical Market Size Value (US$ Million) Analysis, 2019 to 2023 4.2. Current and Future Market Size Value (US$ Million) Projections, 2024 to 2034 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Type 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Type, 2019 to 2023 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Type, 2024 to 2034 5.3.1. Public 5.3.2. Private 5.3.3. Hybrid 5.3.4. Multi 5.4. Y-o-Y Growth Trend Analysis By Type, 2019 to 2023 5.5. Absolute $ Opportunity Analysis By Type, 2024 to 2034 6. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By OS Type 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By OS Type, 2019 to 2023 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By OS Type, 2024 to 2034 6.3.1. Native 6.3.2. Web-based 6.4. Y-o-Y Growth Trend Analysis By OS Type, 2019 to 2023 6.5. Absolute $ Opportunity Analysis By OS Type, 2024 to 2034 7. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Enterprise Size 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Enterprise Size , 2019 to 2023 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Enterprise Size , 2024 to 2034 7.3.1. Large Enterprise 7.3.2. Small and Medium Enterprises 7.4. Y-o-Y Growth Trend Analysis By Enterprise Size , 2019 to 2023 7.5. Absolute $ Opportunity Analysis By Enterprise Size , 2024 to 2034 8. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Industry Vertical 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Million) Analysis By Industry Vertical, 2019 to 2023 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry Vertical, 2024 to 2034 8.3.1. Retail 8.3.2. Consumer Electronics 8.3.3. Healthcare 8.3.4. Automotive 8.3.5. Food & Beverage 8.3.6. Others 8.4. Y-o-Y Growth Trend Analysis By Industry Vertical, 2019 to 2023 8.5. Absolute $ Opportunity Analysis By Industry Vertical, 2024 to 2034 9. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Region 9.1. Introduction 9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2019 to 2023 9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2024 to 2034 9.3.1. North America 9.3.2. Latin America 9.3.3. Western Europe 9.3.4. Eastern Europe 9.3.5. South Asia and Pacific 9.3.6. East Asia 9.3.7. Middle East and Africa 9.4. Market Attractiveness Analysis By Region 10. North America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 10.2.1. By Country 10.2.1.1. USA. 10.2.1.2. Canada 10.2.2. By Type 10.2.3. By OS Type 10.2.4. By Enterprise Size 10.2.5. By Industry Vertical 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Type 10.3.3. By OS Type 10.3.4. By Enterprise Size 10.3.5. By Industry Vertical 10.4. Key Takeaways 11. Latin America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 11.2.1. By Country 11.2.1.1. Brazil 11.2.1.2. Mexico 11.2.1.3. Rest of Latin America 11.2.2. By Type 11.2.3. By OS Type 11.2.4. By Enterprise Size 11.2.5. By Industry Vertical 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Type 11.3.3. By OS Type 11.3.4. By Enterprise Size 11.3.5. By Industry Vertical 11.4. Key Takeaways 12. Western Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 12.2.1. By Country 12.2.1.1. Germany 12.2.1.2. UK 12.2.1.3. France 12.2.1.4. Spain 12.2.1.5. Italy 12.2.1.6. Rest of Western Europe 12.2.2. By Type 12.2.3. By OS Type 12.2.4. By Enterprise Size 12.2.5. By Industry Vertical 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Type 12.3.3. By OS Type 12.3.4. By Enterprise Size 12.3.5. By Industry Vertical 12.4. Key Takeaways 13. Eastern Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 13.2.1. By Country 13.2.1.1. Poland 13.2.1.2. Russia 13.2.1.3. Czech Republic 13.2.1.4. Romania 13.2.1.5. Rest of Eastern Europe 13.2.2. By Type 13.2.3. By OS Type 13.2.4. By Enterprise Size 13.2.5. By Industry Vertical 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Type 13.3.3. By OS Type 13.3.4. By Enterprise Size 13.3.5. By Industry Vertical 13.4. Key Takeaways 14. South Asia and Pacific Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 14.2.1. By Country 14.2.1.1. India 14.2.1.2. Bangladesh 14.2.1.3. Australia 14.2.1.4. New Zealand 14.2.1.5. Rest of South Asia and Pacific 14.2.2. By Type 14.2.3. By OS Type 14.2.4. By Enterprise Size 14.2.5. By Industry Vertical 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Type 14.3.3. By OS Type 14.3.4. By Enterprise Size 14.3.5. By Industry Vertical 14.4. Key Takeaways 15. East Asia Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 15.2.1. By Country 15.2.1.1. China 15.2.1.2. Japan 15.2.1.3. South Korea 15.2.2. By Type 15.2.3. By OS Type 15.2.4. By Enterprise Size 15.2.5. By Industry Vertical 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Type 15.3.3. By OS Type 15.3.4. By Enterprise Size 15.3.5. By Industry Vertical 15.4. Key Takeaways 16. Middle East and Africa Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country 16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 16.2.1. By Country 16.2.1.1. GCC Countries 16.2.1.2. South Africa 16.2.1.3. Israel 16.2.1.4. Rest of MEA 16.2.2. By Type 16.2.3. By OS Type 16.2.4. By Enterprise Size 16.2.5. By Industry Vertical 16.3. Market Attractiveness Analysis 16.3.1. By Country 16.3.2. By Type 16.3.3. By OS Type 16.3.4. By Enterprise Size 16.3.5. By Industry Vertical 16.4. Key Takeaways 17. Key Countries Market Analysis 17.1. USA. 17.1.1. Pricing Analysis 17.1.2. Market Share Analysis, 2023 17.1.2.1. By Type 17.1.2.2. By OS Type 17.1.2.3. By Enterprise Size 17.1.2.4. By Industry Vertical 17.2. Canada 17.2.1. Pricing Analysis 17.2.2. Market Share Analysis, 2023 17.2.2.1. By Type 17.2.2.2. By OS Type 17.2.2.3. By Enterprise Size 17.2.2.4. By Industry Vertical 17.3. Brazil 17.3.1. Pricing Analysis 17.3.2. Market Share Analysis, 2023 17.3.2.1. By Type 17.3.2.2. By OS Type 17.3.2.3. By Enterprise Size 17.3.2.4. By Industry Vertical 17.4. Mexico 17.4.1. Pricing Analysis 17.4.2. Market Share Analysis, 2023 17.4.2.1. By Type 17.4.2.2. By OS Type 17.4.2.3. By Enterprise Size 17.4.2.4. By Industry Vertical 17.5. Germany 17.5.1. Pricing Analysis 17.5.2. Market Share Analysis, 2023 17.5.2.1. By Type 17.5.2.2. By OS Type 17.5.2.3. By Enterprise Size 17.5.2.4. By Industry Vertical 17.6. UK 17.6.1. Pricing Analysis 17.6.2. Market Share Analysis, 2023 17.6.2.1. By Type 17.6.2.2. By OS Type 17.6.2.3. By Enterprise Size 17.6.2.4. By Industry Vertical 17.7. France 17.7.1. Pricing Analysis 17.7.2. Market Share Analysis, 2023 17.7.2.1. By Type 17.7.2.2. By OS Type 17.7.2.3. By Enterprise Size 17.7.2.4. By Industry Vertical 17.8. Spain 17.8.1. Pricing Analysis 17.8.2. Market Share Analysis, 2023 17.8.2.1. By Type 17.8.2.2. By OS Type 17.8.2.3. By Enterprise Size 17.8.2.4. By Industry Vertical 17.9. Italy 17.9.1. Pricing Analysis 17.9.2. Market Share Analysis, 2023 17.9.2.1. By Type 17.9.2.2. By OS Type 17.9.2.3. By Enterprise Size 17.9.2.4. By Industry Vertical 17.10. Poland 17.10.1. Pricing Analysis 17.10.2. Market Share Analysis, 2023 17.10.2.1. By Type 17.10.2.2. By OS Type 17.10.2.3. By Enterprise Size 17.10.2.4. By Industry Vertical 17.11. Russia 17.11.1. Pricing Analysis 17.11.2. Market Share Analysis, 2023 17.11.2.1. By Type 17.11.2.2. By OS Type 17.11.2.3. By Enterprise Size 17.11.2.4. By Industry Vertical 17.12. Czech Republic 17.12.1. Pricing Analysis 17.12.2. Market Share Analysis, 2023 17.12.2.1. By Type 17.12.2.2. By OS Type 17.12.2.3. By Enterprise Size 17.12.2.4. By Industry Vertical 17.13. Romania 17.13.1. Pricing Analysis 17.13.2. Market Share Analysis, 2023 17.13.2.1. By Type 17.13.2.2. By OS Type 17.13.2.3. By Enterprise Size 17.13.2.4. By Industry Vertical 17.14. India 17.14.1. Pricing Analysis 17.14.2. Market Share Analysis, 2023 17.14.2.1. By Type 17.14.2.2. By OS Type 17.14.2.3. By Enterprise Size 17.14.2.4. By Industry Vertical 17.15. Bangladesh 17.15.1. Pricing Analysis 17.15.2. Market Share Analysis, 2023 17.15.2.1. By Type 17.15.2.2. By OS Type 17.15.2.3. By Enterprise Size 17.15.2.4. By Industry Vertical 17.16. Australia 17.16.1. Pricing Analysis 17.16.2. Market Share Analysis, 2023 17.16.2.1. By Type 17.16.2.2. By OS Type 17.16.2.3. By Enterprise Size 17.16.2.4. By Industry Vertical 17.17. New Zealand 17.17.1. Pricing Analysis 17.17.2. Market Share Analysis, 2023 17.17.2.1. By Type 17.17.2.2. By OS Type 17.17.2.3. By Enterprise Size 17.17.2.4. By Industry Vertical 17.18. China 17.18.1. Pricing Analysis 17.18.2. Market Share Analysis, 2023 17.18.2.1. By Type 17.18.2.2. By OS Type 17.18.2.3. By Enterprise Size 17.18.2.4. By Industry Vertical 17.19. Japan 17.19.1. Pricing Analysis 17.19.2. Market Share Analysis, 2023 17.19.2.1. By Type 17.19.2.2. By OS Type 17.19.2.3. By Enterprise Size 17.19.2.4. By Industry Vertical 17.20. South Korea 17.20.1. Pricing Analysis 17.20.2. Market Share Analysis, 2023 17.20.2.1. By Type 17.20.2.2. By OS Type 17.20.2.3. By Enterprise Size 17.20.2.4. By Industry Vertical 17.21. GCC Countries 17.21.1. Pricing Analysis 17.21.2. Market Share Analysis, 2023 17.21.2.1. By Type 17.21.2.2. By OS Type 17.21.2.3. By Enterprise Size 17.21.2.4. By Industry Vertical 17.22. South Africa 17.22.1. Pricing Analysis 17.22.2. Market Share Analysis, 2023 17.22.2.1. By Type 17.22.2.2. By OS Type 17.22.2.3. By Enterprise Size 17.22.2.4. By Industry Vertical 17.23. Israel 17.23.1. Pricing Analysis 17.23.2. Market Share Analysis, 2023 17.23.2.1. By Type 17.23.2.2. By OS Type 17.23.2.3. By Enterprise Size 17.23.2.4. By Industry Vertical 18. Market Structure Analysis 18.1. Competition Dashboard 18.2. Competition Benchmarking 18.3. Market Share Analysis of Top Players 18.3.1. By Regional 18.3.2. By Type 18.3.3. By OS Type 18.3.4. By Enterprise Size 18.3.5. By Industry Vertical 19. Competition Analysis 19.1. Competition Deep Dive 19.1.1. Bwise 19.1.1.1. Overview 19.1.1.2. Product Portfolio 19.1.1.3. Profitability by Market Segments 19.1.1.4. Sales Footprint 19.1.1.5. Strategy Overview 19.1.1.5.1. Marketing Strategy 19.1.2. IBM Corporation 19.1.2.1. Overview 19.1.2.2. Product Portfolio 19.1.2.3. Profitability by Market Segments 19.1.2.4. Sales Footprint 19.1.2.5. Strategy Overview 19.1.2.5.1. Marketing Strategy 19.1.3. Microsoft Corporation 19.1.3.1. Overview 19.1.3.2. Product Portfolio 19.1.3.3. Profitability by Market Segments 19.1.3.4. Sales Footprint 19.1.3.5. Strategy Overview 19.1.3.5.1. Marketing Strategy 19.1.4. Oracle Corporation 19.1.4.1. Overview 19.1.4.2. Product Portfolio 19.1.4.3. Profitability by Market Segments 19.1.4.4. Sales Footprint 19.1.4.5. Strategy Overview 19.1.4.5.1. Marketing Strategy 19.1.5. SAP SE 19.1.5.1. Overview 19.1.5.2. Product Portfolio 19.1.5.3. Profitability by Market Segments 19.1.5.4. Sales Footprint 19.1.5.5. Strategy Overview 19.1.5.5.1. Marketing Strategy 19.1.6. Thomson Reuters Corporation 19.1.6.1. Overview 19.1.6.2. Product Portfolio 19.1.6.3. Profitability by Market Segments 19.1.6.4. Sales Footprint 19.1.6.5. Strategy Overview 19.1.6.5.1. Marketing Strategy 19.1.7. Trimble Transportation 19.1.7.1. Overview 19.1.7.2. Product Portfolio 19.1.7.3. Profitability by Market Segments 19.1.7.4. Sales Footprint 19.1.7.5. Strategy Overview 19.1.7.5.1. Marketing Strategy 19.1.8. Transplace (an Uber Freight Co.) 19.1.8.1. Overview 19.1.8.2. Product Portfolio 19.1.8.3. Profitability by Market Segments 19.1.8.4. Sales Footprint 19.1.8.5. Strategy Overview 19.1.8.5.1. Marketing Strategy 19.1.9. Descartes Systems Group 19.1.9.1. Overview 19.1.9.2. Product Portfolio 19.1.9.3. Profitability by Market Segments 19.1.9.4. Sales Footprint 19.1.9.5. Strategy Overview 19.1.9.5.1. Marketing Strategy 19.1.10. C. H. Robinson 19.1.10.1. Overview 19.1.10.2. Product Portfolio 19.1.10.3. Profitability by Market Segments 19.1.10.4. Sales Footprint 19.1.10.5. Strategy Overview 19.1.10.5.1. Marketing Strategy 19.1.11. MetricStream, Inc. 19.1.11.1. Overview 19.1.11.2. Product Portfolio 19.1.11.3. Profitability by Market Segments 19.1.11.4. Sales Footprint 19.1.11.5. Strategy Overview 19.1.11.5.1. Marketing Strategy 19.1.12. 3GTMS 19.1.12.1. Overview 19.1.12.2. Product Portfolio 19.1.12.3. Profitability by Market Segments 19.1.12.4. Sales Footprint 19.1.12.5. Strategy Overview 19.1.12.5.1. Marketing Strategy 19.1.13. CargoSmart Limited 19.1.13.1. Overview 19.1.13.2. Product Portfolio 19.1.13.3. Profitability by Market Segments 19.1.13.4. Sales Footprint 19.1.13.5. Strategy Overview 19.1.13.5.1. Marketing Strategy 19.1.14. BluJay Solutions 19.1.14.1. Overview 19.1.14.2. Product Portfolio 19.1.14.3. Profitability by Market Segments 19.1.14.4. Sales Footprint 19.1.14.5. Strategy Overview 19.1.14.5.1. Marketing Strategy 20. Assumptions & Acronyms Used 21. Research Methodology
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