Digital Transformation in Logistics Market by Logistics Type (Fleet Management, Inventory Management, Order Management), Technology (AI And ML, Big Data Analytics, Blockchain), Deployment Mode, Organization Size, End User - Global Forecast 2025-2032
Description
The Digital Transformation in Logistics Market was valued at USD 20.75 billion in 2024 and is projected to grow to USD 23.52 billion in 2025, with a CAGR of 15.11%, reaching USD 64.00 billion by 2032.
A pragmatic orientation on how integrated digital technologies and operational redesign are redefining logistics performance and executive priorities in the modern supply chain
The logistics sector is undergoing a decisive digital transformation driven by converging technological advancements, evolving customer expectations, and shifting regulatory landscapes. Senior executives and operations leaders are increasingly focused on deploying integrated solutions across fleet operations, inventory control, order orchestration, transportation networks, and warehouse management to achieve greater visibility, resilience, and cost efficiency. Consequently, organizations are moving beyond point solutions toward interoperable platforms that enable end-to-end orchestration and data-driven decision making.
In this context, successful transformation requires blending mature operational practices with emerging capabilities such as artificial intelligence, real-time analytics, blockchain-based provenance, cloud-native deployments, and pervasive connectivity through IoT. As stakeholders prioritize ROI, they are seeking pragmatic roadmaps that align technology adoption with process redesign, workforce enablement, and risk mitigation. This introduction frames the strategic priorities and core tensions that define contemporary digital logistics initiatives, and sets expectations for the analysis that follows.
How converging digital capabilities and operational redesign are dismantling silos and creating unified, data-driven logistics ecosystems that enable dynamic routing and orchestration
The logistics landscape is shifting from siloed operational models to orchestrated ecosystems in which digital platforms act as the connective tissue between stakeholders, assets, and customers. Fleet management has evolved from discrete fuel and maintenance scheduling activities into telematics-driven continuous optimization, while inventory management is increasingly centered on predictive demand modeling and safety stock rationalization. Likewise, order management has moved beyond simple fulfillment to include intelligent tracking and exception handling that improves customer experience and reduces operational friction.
Transportation modalities are converging under unified control towers that integrate air, rail, road, and sea movements, enabling dynamic routing and carrier selection. Warehouse operations are transitioning from manual processes to automated storage and retrieval systems complemented by robotics and advanced warehouse management software. At the same time, enabling technologies such as AI and machine learning, big data analytics, blockchain, cloud computing, and IoT are maturing into practical enablers rather than theoretical differentiators. These transformative shifts are producing new business models, altering vendor ecosystems, and raising expectations for interoperability, data governance, and measurable operational outcomes.
The implications of recent tariff shifts on sourcing, multimodal routing, and logistics network reconfiguration and how organizations are embedding tariff variables into operational planning
Recent tariff dynamics have introduced an additional operational and strategic layer to logistics planning, affecting sourcing strategies, route optimization, and supplier contracts. Tariff adjustments have influenced decisions around modal choice, inventory placement, and forward stocking locations because organizations must now balance landed cost considerations with service-level commitments. For many logistics teams, this means re-evaluating nearshoring versus long-haul sourcing, optimizing multimodal transport mixes, and renegotiating commercial terms to absorb or mitigate increased cross-border costs.
Consequently, procurement and transport planners are integrating tariff-related variables into scenario planning and transport management systems to preserve profitability while maintaining service reliability. Firms are also accelerating investments in transparency and traceability technologies to validate origin, classify goods accurately, and streamline customs processes. As a result, tariff effects are catalyzing closer collaboration among procurement, trade compliance, and logistics operations, prompting organizations to reconfigure networks and contracts in ways that prioritize agility and regulatory alignment.
Detailed segmentation perspective revealing how functional domains, enabling technologies, deployment modes, organizational scale, and vertical end users shape adoption pathways and solution design
Segmentation insight begins with logistics functional domains where fleet operations now encompass fuel optimization, predictive maintenance, and telematics-driven monitoring that together reduce downtime and improve asset utilization. Inventory practices are converging on demand forecasting models and safety stock management routines that leverage real-time sales and supply signals to reduce obsolescence and stockouts. Order processing is becoming more sophisticated through integrated order fulfillment engines and end-to-end tracking that enhance visibility and customer communication. Transportation strategies unify air, rail, road, and sea planning within single orchestration layers to enable cost-effective routing and resilient contingency planning. Warehouse capabilities are advancing with automated storage and retrieval systems, robotics, and modern warehouse management software that collectively increase throughput and accuracy.
From a technology standpoint, artificial intelligence and machine learning-implemented through computer vision and predictive analytics-are accelerating exception detection and capacity planning, while big data analytics with data mining and real-time analytics enable actionable insights from disparate operational data. Blockchain applications for asset tracking and smart contracts are maturing to support provenance and contractual automation, and cloud computing platforms delivered via PaaS and SaaS models are enabling scalable deployments. Meanwhile, IoT technologies such as GPS tracking and sensor networks provide the continuous telemetry that underpins visibility and predictive maintenance. Deployment preferences vary across cloud, hybrid, and on-premise models, with private and public cloud options, cloud-integrated hybrid architectures, and traditional in-house on-premise solutions continuing to coexist depending on security, latency, and integration requirements. Organization size influences adoption pathways, with large enterprises often pursuing enterprise-scale integrations while small and medium enterprises explore modular, scalable solutions tailored to medium, micro, and small enterprise needs. End users across automotive, food and beverage, healthcare, manufacturing, and retail are applying these capabilities in industry-specific ways: packaged food and perishables require temperature-controlled visibility, hospitals and pharmaceuticals prioritize traceability and compliance, automotive manufacturing demands just-in-time synchronization, electronics manufacturing requires high-precision inventory control, and retail blends brick-and-mortar and online retail strategies to align fulfillment with customer expectations.
How regional regulatory environments, infrastructure maturity, and commercial dynamics across the Americas, Europe Middle East & Africa, and Asia-Pacific drive differentiated logistics transformation strategies
Regional dynamics exert distinct pressures and opportunities that shape logistics digital transformation strategies. In the Americas, investment focus centers on scalable cloud-native platforms, telematics integration for extensive road networks, and advanced analytics to manage complex domestic and cross-border flows. Meanwhile, firms are integrating transportation management systems with last-mile solutions to address urban delivery challenges and e-commerce growth.
Europe, Middle East & Africa present a heterogeneous set of priorities: stringent regulatory environments and mature trade lanes drive investments in traceability, compliance automation, and modal diversification, while emerging hubs within the region prioritize infrastructure modernization and interoperable platforms. In the Asia-Pacific zone, rapid industrialization and dense manufacturing clusters are accelerating automation in warehouses, pervasive IoT deployment, and sophisticated multimodal orchestration to support both export-oriented trade and domestic distribution growth. Collectively, these regional distinctions necessitate locally informed platform configurations, partner ecosystems, and implementation roadmaps to ensure that digital initiatives deliver measurable operational resilience across differing regulatory and infrastructural contexts.
Competitive provider dynamics showing how integrated operational depth, modular architectures, and consultative services determine vendor selection and long-term partnerships
Leading companies in logistics technology and services are emphasizing integrated solutions that combine operational depth with flexible deployment options and strong partner ecosystems. Successful providers demonstrate proven capabilities across fleet telematics, warehouse automation, demand analytics, and transportation orchestration, while offering modular architectures that facilitate phased rollouts and minimum disruption to core operations. In practice, buyer preferences favor vendors that can demonstrate interoperability, robust data governance, and practical use cases with measurable operational outcomes such as improved on-time performance, reduced dwell times, and lower total logistics costs.
Vendors that pair domain expertise with consultative implementation services and predictable support models tend to win larger enterprise engagements, while agile providers offering cloud-native SaaS solutions appeal to SMEs seeking rapid time-to-value. Strategic partnerships, certifications for regulatory compliance, and an emphasis on open APIs and ecosystem integrations are common differentiators. Consequently, procurement teams are prioritizing suppliers that balance technological innovation with reliable delivery and measurable business impact.
Practical, outcome-focused actions leaders should take to align technology selection, governance, and workforce transformation to accelerate value and de-risk large scale logistics initiatives
Industry leaders seeking to realize the full value of digital logistics should adopt a prioritized, outcomes-driven approach that aligns technology investments with clearly defined operational metrics and stakeholder accountability. Start by identifying the highest-impact processes-whether reducing transit variability, improving inventory turns, or shortening order-to-delivery timelines-and then select technologies that demonstrably address those priorities while supporting phased implementation to limit disruption. Moreover, organizations should invest in data governance frameworks and integration layers that enable cross-functional visibility and the reuse of telemetry across use cases.
Workforce enablement is equally important: leaders must design change management programs that combine role-based training, revised performance metrics, and governance that sustains continuous improvement. Finally, cultivate a partner ecosystem that allows for flexible procurement, coexistence of legacy systems, and access to specialist skills for robotics, AI, and edge computing. By persisting with a disciplined, measurable approach and emphasizing interoperability and people-centric change, organizations can accelerate value realization and reduce program risk.
An evidence-driven research approach combining qualitative executive interviews, secondary source validation, and scenario analysis to produce practical operational insights and vendor assessment
The research grounding this analysis synthesizes primary qualitative engagements with supply chain executives, operations leads, and solution architects, combined with secondary source validation across industry reports, regulatory filings, and technology specifications. Primary inputs included structured interviews that explored implementation challenges, procurement criteria, and performance objectives, while secondary research validated trends in technology adoption, regulatory changes, and modal capacity shifts. Triangulation of findings was applied to ensure that operational anecdotes aligned with documented capability developments and product roadmaps.
Analytical methods emphasized thematic coding of interview data, comparative assessment of technology functionality, and scenario analysis to surface practical implications for sourcing, network design, and operational readiness. Throughout, special attention was paid to verifying claims around interoperability, deployment experience, and measurable operational outcomes to provide decision-makers with evidence-oriented guidance for planning and vendor selection.
A strategic synthesis showing why aligning measurable operational outcomes, workforce enablement, and interoperable platforms is essential for sustainable logistics transformation
Digital transformation in logistics is not an abstract ambition but an operational imperative that requires deliberate alignment of technology investments, process redesign, and human capability development. Organizations that link digital initiatives to specific operational outcomes-such as reduced transit variability, improved inventory responsiveness, or faster order fulfillment-will be best positioned to extract sustained value. Moreover, regional nuances, tariff-related pressures, and supplier dynamics necessitate locally informed strategies that preserve flexibility while enforcing consistent governance and data standards.
Ultimately, success depends on an integrated approach that balances short-term wins through modular deployments with long-term platform thinking that supports interoperability and continuous improvement. By prioritizing measurable objectives, investing in workforce readiness, and choosing partners with proven integration expertise, logistics leaders can transform their operations to meet evolving customer expectations and regulatory requirements while building resilient, efficient supply chains.
Note: PDF & Excel + Online Access - 1 Year
A pragmatic orientation on how integrated digital technologies and operational redesign are redefining logistics performance and executive priorities in the modern supply chain
The logistics sector is undergoing a decisive digital transformation driven by converging technological advancements, evolving customer expectations, and shifting regulatory landscapes. Senior executives and operations leaders are increasingly focused on deploying integrated solutions across fleet operations, inventory control, order orchestration, transportation networks, and warehouse management to achieve greater visibility, resilience, and cost efficiency. Consequently, organizations are moving beyond point solutions toward interoperable platforms that enable end-to-end orchestration and data-driven decision making.
In this context, successful transformation requires blending mature operational practices with emerging capabilities such as artificial intelligence, real-time analytics, blockchain-based provenance, cloud-native deployments, and pervasive connectivity through IoT. As stakeholders prioritize ROI, they are seeking pragmatic roadmaps that align technology adoption with process redesign, workforce enablement, and risk mitigation. This introduction frames the strategic priorities and core tensions that define contemporary digital logistics initiatives, and sets expectations for the analysis that follows.
How converging digital capabilities and operational redesign are dismantling silos and creating unified, data-driven logistics ecosystems that enable dynamic routing and orchestration
The logistics landscape is shifting from siloed operational models to orchestrated ecosystems in which digital platforms act as the connective tissue between stakeholders, assets, and customers. Fleet management has evolved from discrete fuel and maintenance scheduling activities into telematics-driven continuous optimization, while inventory management is increasingly centered on predictive demand modeling and safety stock rationalization. Likewise, order management has moved beyond simple fulfillment to include intelligent tracking and exception handling that improves customer experience and reduces operational friction.
Transportation modalities are converging under unified control towers that integrate air, rail, road, and sea movements, enabling dynamic routing and carrier selection. Warehouse operations are transitioning from manual processes to automated storage and retrieval systems complemented by robotics and advanced warehouse management software. At the same time, enabling technologies such as AI and machine learning, big data analytics, blockchain, cloud computing, and IoT are maturing into practical enablers rather than theoretical differentiators. These transformative shifts are producing new business models, altering vendor ecosystems, and raising expectations for interoperability, data governance, and measurable operational outcomes.
The implications of recent tariff shifts on sourcing, multimodal routing, and logistics network reconfiguration and how organizations are embedding tariff variables into operational planning
Recent tariff dynamics have introduced an additional operational and strategic layer to logistics planning, affecting sourcing strategies, route optimization, and supplier contracts. Tariff adjustments have influenced decisions around modal choice, inventory placement, and forward stocking locations because organizations must now balance landed cost considerations with service-level commitments. For many logistics teams, this means re-evaluating nearshoring versus long-haul sourcing, optimizing multimodal transport mixes, and renegotiating commercial terms to absorb or mitigate increased cross-border costs.
Consequently, procurement and transport planners are integrating tariff-related variables into scenario planning and transport management systems to preserve profitability while maintaining service reliability. Firms are also accelerating investments in transparency and traceability technologies to validate origin, classify goods accurately, and streamline customs processes. As a result, tariff effects are catalyzing closer collaboration among procurement, trade compliance, and logistics operations, prompting organizations to reconfigure networks and contracts in ways that prioritize agility and regulatory alignment.
Detailed segmentation perspective revealing how functional domains, enabling technologies, deployment modes, organizational scale, and vertical end users shape adoption pathways and solution design
Segmentation insight begins with logistics functional domains where fleet operations now encompass fuel optimization, predictive maintenance, and telematics-driven monitoring that together reduce downtime and improve asset utilization. Inventory practices are converging on demand forecasting models and safety stock management routines that leverage real-time sales and supply signals to reduce obsolescence and stockouts. Order processing is becoming more sophisticated through integrated order fulfillment engines and end-to-end tracking that enhance visibility and customer communication. Transportation strategies unify air, rail, road, and sea planning within single orchestration layers to enable cost-effective routing and resilient contingency planning. Warehouse capabilities are advancing with automated storage and retrieval systems, robotics, and modern warehouse management software that collectively increase throughput and accuracy.
From a technology standpoint, artificial intelligence and machine learning-implemented through computer vision and predictive analytics-are accelerating exception detection and capacity planning, while big data analytics with data mining and real-time analytics enable actionable insights from disparate operational data. Blockchain applications for asset tracking and smart contracts are maturing to support provenance and contractual automation, and cloud computing platforms delivered via PaaS and SaaS models are enabling scalable deployments. Meanwhile, IoT technologies such as GPS tracking and sensor networks provide the continuous telemetry that underpins visibility and predictive maintenance. Deployment preferences vary across cloud, hybrid, and on-premise models, with private and public cloud options, cloud-integrated hybrid architectures, and traditional in-house on-premise solutions continuing to coexist depending on security, latency, and integration requirements. Organization size influences adoption pathways, with large enterprises often pursuing enterprise-scale integrations while small and medium enterprises explore modular, scalable solutions tailored to medium, micro, and small enterprise needs. End users across automotive, food and beverage, healthcare, manufacturing, and retail are applying these capabilities in industry-specific ways: packaged food and perishables require temperature-controlled visibility, hospitals and pharmaceuticals prioritize traceability and compliance, automotive manufacturing demands just-in-time synchronization, electronics manufacturing requires high-precision inventory control, and retail blends brick-and-mortar and online retail strategies to align fulfillment with customer expectations.
How regional regulatory environments, infrastructure maturity, and commercial dynamics across the Americas, Europe Middle East & Africa, and Asia-Pacific drive differentiated logistics transformation strategies
Regional dynamics exert distinct pressures and opportunities that shape logistics digital transformation strategies. In the Americas, investment focus centers on scalable cloud-native platforms, telematics integration for extensive road networks, and advanced analytics to manage complex domestic and cross-border flows. Meanwhile, firms are integrating transportation management systems with last-mile solutions to address urban delivery challenges and e-commerce growth.
Europe, Middle East & Africa present a heterogeneous set of priorities: stringent regulatory environments and mature trade lanes drive investments in traceability, compliance automation, and modal diversification, while emerging hubs within the region prioritize infrastructure modernization and interoperable platforms. In the Asia-Pacific zone, rapid industrialization and dense manufacturing clusters are accelerating automation in warehouses, pervasive IoT deployment, and sophisticated multimodal orchestration to support both export-oriented trade and domestic distribution growth. Collectively, these regional distinctions necessitate locally informed platform configurations, partner ecosystems, and implementation roadmaps to ensure that digital initiatives deliver measurable operational resilience across differing regulatory and infrastructural contexts.
Competitive provider dynamics showing how integrated operational depth, modular architectures, and consultative services determine vendor selection and long-term partnerships
Leading companies in logistics technology and services are emphasizing integrated solutions that combine operational depth with flexible deployment options and strong partner ecosystems. Successful providers demonstrate proven capabilities across fleet telematics, warehouse automation, demand analytics, and transportation orchestration, while offering modular architectures that facilitate phased rollouts and minimum disruption to core operations. In practice, buyer preferences favor vendors that can demonstrate interoperability, robust data governance, and practical use cases with measurable operational outcomes such as improved on-time performance, reduced dwell times, and lower total logistics costs.
Vendors that pair domain expertise with consultative implementation services and predictable support models tend to win larger enterprise engagements, while agile providers offering cloud-native SaaS solutions appeal to SMEs seeking rapid time-to-value. Strategic partnerships, certifications for regulatory compliance, and an emphasis on open APIs and ecosystem integrations are common differentiators. Consequently, procurement teams are prioritizing suppliers that balance technological innovation with reliable delivery and measurable business impact.
Practical, outcome-focused actions leaders should take to align technology selection, governance, and workforce transformation to accelerate value and de-risk large scale logistics initiatives
Industry leaders seeking to realize the full value of digital logistics should adopt a prioritized, outcomes-driven approach that aligns technology investments with clearly defined operational metrics and stakeholder accountability. Start by identifying the highest-impact processes-whether reducing transit variability, improving inventory turns, or shortening order-to-delivery timelines-and then select technologies that demonstrably address those priorities while supporting phased implementation to limit disruption. Moreover, organizations should invest in data governance frameworks and integration layers that enable cross-functional visibility and the reuse of telemetry across use cases.
Workforce enablement is equally important: leaders must design change management programs that combine role-based training, revised performance metrics, and governance that sustains continuous improvement. Finally, cultivate a partner ecosystem that allows for flexible procurement, coexistence of legacy systems, and access to specialist skills for robotics, AI, and edge computing. By persisting with a disciplined, measurable approach and emphasizing interoperability and people-centric change, organizations can accelerate value realization and reduce program risk.
An evidence-driven research approach combining qualitative executive interviews, secondary source validation, and scenario analysis to produce practical operational insights and vendor assessment
The research grounding this analysis synthesizes primary qualitative engagements with supply chain executives, operations leads, and solution architects, combined with secondary source validation across industry reports, regulatory filings, and technology specifications. Primary inputs included structured interviews that explored implementation challenges, procurement criteria, and performance objectives, while secondary research validated trends in technology adoption, regulatory changes, and modal capacity shifts. Triangulation of findings was applied to ensure that operational anecdotes aligned with documented capability developments and product roadmaps.
Analytical methods emphasized thematic coding of interview data, comparative assessment of technology functionality, and scenario analysis to surface practical implications for sourcing, network design, and operational readiness. Throughout, special attention was paid to verifying claims around interoperability, deployment experience, and measurable operational outcomes to provide decision-makers with evidence-oriented guidance for planning and vendor selection.
A strategic synthesis showing why aligning measurable operational outcomes, workforce enablement, and interoperable platforms is essential for sustainable logistics transformation
Digital transformation in logistics is not an abstract ambition but an operational imperative that requires deliberate alignment of technology investments, process redesign, and human capability development. Organizations that link digital initiatives to specific operational outcomes-such as reduced transit variability, improved inventory responsiveness, or faster order fulfillment-will be best positioned to extract sustained value. Moreover, regional nuances, tariff-related pressures, and supplier dynamics necessitate locally informed strategies that preserve flexibility while enforcing consistent governance and data standards.
Ultimately, success depends on an integrated approach that balances short-term wins through modular deployments with long-term platform thinking that supports interoperability and continuous improvement. By prioritizing measurable objectives, investing in workforce readiness, and choosing partners with proven integration expertise, logistics leaders can transform their operations to meet evolving customer expectations and regulatory requirements while building resilient, efficient supply chains.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
199 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Integrating AI-driven predictive analytics for real-time fleet maintenance scheduling across multimodal transportation networks
- 5.2. Deploying autonomous drone networks for expedited inventory audits in large-scale warehouse facilities
- 5.3. Implementing blockchain-enabled smart contracts for transparent supply chain finance and vendor compliance tracking
- 5.4. Utilizing IoT sensor arrays and digital twins to monitor cold chain integrity from source to retail outlets
- 5.5. Adopting edge computing platforms to analyze vehicle telematics data for dynamic route optimization under variable traffic conditions
- 5.6. Leveraging 5G connectivity to coordinate synchronized operations between automated guided vehicles and sorting systems
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Digital Transformation in Logistics Market, by Logistics Type
- 8.1. Fleet Management
- 8.1.1. Fuel Management
- 8.1.2. Maintenance Management
- 8.1.3. Telematics
- 8.2. Inventory Management
- 8.2.1. Demand Forecasting
- 8.2.2. Safety Stock Management
- 8.3. Order Management
- 8.3.1. Order Fulfillment
- 8.3.2. Order Tracking
- 8.4. Transportation Management
- 8.4.1. Air Transportation
- 8.4.2. Rail Transportation
- 8.4.3. Road Transportation
- 8.4.4. Sea Transportation
- 8.5. Warehouse Management
- 8.5.1. Automated Storage And Retrieval System
- 8.5.2. Warehouse Robotics
- 8.5.3. WMS Software
- 9. Digital Transformation in Logistics Market, by Technology
- 9.1. AI And ML
- 9.1.1. Computer Vision
- 9.1.2. Predictive Analytics
- 9.2. Big Data Analytics
- 9.2.1. Data Mining
- 9.2.2. Real Time Analytics
- 9.3. Blockchain
- 9.3.1. Asset Tracking
- 9.3.2. Smart Contracts
- 9.4. Cloud Computing
- 9.4.1. PaaS
- 9.4.2. SaaS
- 9.5. IoT
- 9.5.1. GPS Tracking
- 9.5.2. Sensor Technology
- 10. Digital Transformation in Logistics Market, by Deployment Mode
- 10.1. Cloud
- 10.1.1. Private Cloud
- 10.1.2. Public Cloud
- 10.2. Hybrid
- 10.2.1. Cloud Integrated
- 10.2.2. On Premise Integrated
- 10.3. On Premise
- 11. Digital Transformation in Logistics Market, by Organization Size
- 11.1. Large Enterprises
- 11.2. SMEs
- 11.2.1. Medium Enterprise
- 11.2.2. Micro Enterprise
- 11.2.3. Small Enterprise
- 12. Digital Transformation in Logistics Market, by End User
- 12.1. Automotive
- 12.2. Food And Beverage
- 12.2.1. Packaged Food
- 12.2.2. Perishables
- 12.3. Healthcare
- 12.3.1. Hospitals
- 12.3.2. Pharmaceuticals
- 12.4. Manufacturing
- 12.4.1. Automotive Manufacturing
- 12.4.2. Electronics Manufacturing
- 12.5. Retail
- 12.5.1. Brick And Mortar
- 12.5.2. Online Retail
- 13. Digital Transformation in Logistics Market, by Region
- 13.1. Americas
- 13.1.1. North America
- 13.1.2. Latin America
- 13.2. Europe, Middle East & Africa
- 13.2.1. Europe
- 13.2.2. Middle East
- 13.2.3. Africa
- 13.3. Asia-Pacific
- 14. Digital Transformation in Logistics Market, by Group
- 14.1. ASEAN
- 14.2. GCC
- 14.3. European Union
- 14.4. BRICS
- 14.5. G7
- 14.6. NATO
- 15. Digital Transformation in Logistics Market, by Country
- 15.1. United States
- 15.2. Canada
- 15.3. Mexico
- 15.4. Brazil
- 15.5. United Kingdom
- 15.6. Germany
- 15.7. France
- 15.8. Russia
- 15.9. Italy
- 15.10. Spain
- 15.11. China
- 15.12. India
- 15.13. Japan
- 15.14. Australia
- 15.15. South Korea
- 16. Competitive Landscape
- 16.1. Market Share Analysis, 2024
- 16.2. FPNV Positioning Matrix, 2024
- 16.3. Competitive Analysis
- 16.3.1. Amazon Web Services, Inc.
- 16.3.2. Blue Yonder GmbH
- 16.3.3. Cisco Systems, Inc.
- 16.3.4. E2open, LLC
- 16.3.5. FourKites, Inc.
- 16.3.6. HCL Technologies Ltd.
- 16.3.7. Honeywell International Inc.
- 16.3.8. IBM Corporation
- 16.3.9. Infosys Limited
- 16.3.10. Manhattan Associates, Inc.
- 16.3.11. Oracle Corporation
- 16.3.12. project44, Inc.
- 16.3.13. SAP SE
- 16.3.14. tech Mahindra Limited
- 16.3.15. The Descartes Systems Group Inc.
- 16.3.16. Trimble Inc.
- 16.3.17. WiseTech Global Limited
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.
