Smart & Mobile Supply Chain Solutions Market by Component (Hardware, Services, Software), Deployment (Cloud, On-Premises), Enterprise Size, Industry Vertical, Application - Global Forecast 2025-2032
Description
The Smart & Mobile Supply Chain Solutions Market was valued at USD 25.85 billion in 2024 and is projected to grow to USD 28.82 billion in 2025, with a CAGR of 11.69%, reaching USD 62.61 billion by 2032.
A strategic framing of how integrated mobility, sensing and software reshape operational visibility resilience and competitive differentiation across modern supply chains
The contemporary supply chain is undergoing a rapid convergence of mobility, embedded intelligence and networked sensing that is reconfiguring how goods move, how inventory is managed and how decisions are made across distributed operations. At its core, smart and mobile supply chain solutions combine hardware such as mobile devices and sensors with software for analytics, planning and execution, and services that enable integration, deployment and ongoing support. This combination delivers new operational visibility and decision velocity, reducing latency between event detection and corrective action while enabling more resilient and flexible fulfilment models.
Strategic leaders now regard these solutions not as optional optimizations but as foundational enablers of competitiveness. Investment in enabled workflows and connected devices is unlocking new service propositions, from last-mile delivery orchestration to real-time cold chain integrity. Moreover, the shift toward cloud-native deployments and modular software architectures is lowering barriers to adoption, allowing small and medium enterprises to access capabilities previously reserved for larger players. This introduction sets the stage for a deeper examination of the transformational shifts, tariff impacts, segmentation insights, regional dynamics and actionable recommendations that follow.
How edge intelligence ubiquitous sensing and orchestration platforms are converging to redefine fulfilment models cloud adoption and the role of integration services
The landscape of supply chain technology is marked by several transformative shifts that are remapping capability stacks and enterprise priorities. First, edge intelligence and ubiquitous sensing have graduated from experimental pilots to production-grade deployments, enabling continuous condition monitoring and event-driven automation across warehouses, fleets and manufacturing lines. This transition amplifies the value of hardware such as barcode scanners, RFID readers and sensors, while increasing demand for software that fuses streaming telemetry with inventory and transportation workflows.
Concurrently, orchestration platforms and transportation management systems are evolving to support hybrid fulfilment patterns that blend direct-to-consumer shipments with localized micro-fulfilment and third-party logistics partnerships. Cloud deployment models are accelerating innovation cycles by decoupling updates from physical infrastructure constraints, but on-premises implementations remain relevant for regulated environments and latency-sensitive operations. Services such as consulting, systems integration and ongoing maintenance are therefore critical to bridge the gap between vendor capability and operational reality, ensuring that deployments deliver measurable process improvements and sustainable total cost of ownership.
Practical implications of United States tariff measures on procurement sourcing lead times and architecture choices for hardware intensive supply chain deployments
United States tariff policies enacted and announced for 2025 introduce material considerations for procurement, supplier strategy and total landed cost across global supply networks. Tariff adjustments exert upward pressure on hardware procurement costs for devices and components that traverse tariffed trade lanes, which in turn affects decisions about where to source barcode scanners, connected sensors and robotics. For many organizations, this has prompted a reassessment of supplier diversification, greater scrutiny of bill of materials to identify tariff-exposed content, and renewed interest in nearshoring as a risk mitigation strategy.
Beyond immediate procurement implications, tariffs alter the economics of deployment models. Organizations evaluating cloud versus on-premises tradeoffs now must factor in the capital and operational consequences of hardware acquisition subject to tariffs, as well as the potential for supply chain bottlenecks that lengthen lead times for physical devices. Service delivery models, especially for integration and maintenance, are also affected as labor and travel patterns adjust to new sourcing geographies. As a result, procurement teams and supply chain architects are increasingly collaborating to model scenario-driven responses that prioritize continuity of operations, contractual flexibility and modular architecture choices that reduce exposure to tariff volatility.
A detailed segmentation analysis linking component categories deployment choices enterprise scale and vertical use cases to adoption pathways and capability priorities
A nuanced segmentation view illuminates how adoption pathways vary across technology components, deployment modes, enterprise scale and vertical use cases. When examining component-level dynamics, hardware demand remains anchored by mobile devices and sensors but increasingly includes specialized categories such as drones, robotics and RFID readers that extend visibility beyond traditional scanning touchpoints. Software requirements span analytics and reporting to core inventory and warehouse management systems, with transportation management and order management systems playing a central role in orchestrating distributed fulfilment. Services complement these layers through consulting, systems integration and ongoing maintenance that enable initial deployment and sustain operational performance.
Deployment choice between cloud and on-premises is heavily influenced by regulatory constraints, data sovereignty concerns and the need for deterministic performance at the edge. Large enterprises tend to prioritize integrated multi-site deployments and vendor consolidation to manage complexity, while small and medium enterprises focus on modular, consumption-based offerings that reduce upfront investment and enable rapid time-to-value. Industry verticals also drive differentiation: asset-intensive sectors like logistics and manufacturing emphasize asset tracking and fleet management, healthcare and pharmaceuticals demand stringent cold chain monitoring and traceability, and retail and e-commerce prioritize inventory management and rapid order fulfilment. Application-level segmentation further clarifies priorities, as demand planning and forecasting intersect with supplier relationship and transportation management to create end-to-end use cases that span suppliers, warehouses and last-mile carriers.
How regional regulatory frameworks infrastructure maturity and industrial profiles shape differentiated adoption models and deployment priorities globally
Regional dynamics shape both the pace and pattern of smart and mobile supply chain solution adoption, with distinct strategic implications across the Americas, Europe Middle East & Africa, and Asia-Pacific regions. In the Americas, investment momentum is driven by large-scale logistics hubs, e-commerce intensity and a focus on omnichannel fulfilment that favors rapid integration of mobile devices and robust transportation management capabilities. North American regulators and large retail customers also drive demand for detailed chain-of-custody and cold chain compliance, elevating the role of analytics and reporting tools.
Europe, Middle East & Africa present a heterogeneous landscape where regulatory frameworks, infrastructure maturity and labor models vary significantly. Countries with dense urban logistics networks and advanced manufacturing bases show strong appetite for robotics and warehouse management systems, while regions with complex cross-border trade require sophisticated customs-aware supply chain planning. Asia-Pacific continues to be a hotbed for hardware manufacturing and innovation in mobile devices and sensors, with strong adoption where high-volume logistics and rapid fulfilment cycles demand scalable automation and local cloud or hybrid deployment approaches. Across all regions, the interplay between regulatory compliance, talent availability and vendor ecosystems determines the practical path to large-scale adoption and operationalization.
Insights on vendor strategies partnerships and integration models that determine competitive advantage across software hardware and services ecosystems
Competitive dynamics in the smart and mobile supply chain ecosystem reflect a blend of established enterprise software vendors, specialized hardware manufacturers and nimble systems integrators that together form the buyer’s ecosystem. Leading software providers concentrate on expanding platform interoperability and embedding predictive analytics into inventory and transportation workflows, while hardware vendors prioritize ruggedized mobile devices, advanced RFID solutions and robotics capable of operating in high-throughput environments. Systems integrators and consulting practices differentiate through verticalized expertise and packaged service bundles that accelerate time-to-value by reducing integration complexity and aligning technology roadmaps with operational objectives.
Partnerships and channel strategies prove decisive as organizations seek end-to-end outcomes rather than discrete product purchases. Vendors that can demonstrate repeatable deployment models, strong references in targeted verticals and clear roadmaps for continuous improvement and support capture a strategic advantage. Moreover, alliances between cloud providers and niche software vendors create pathways for smaller solution providers to scale, while hardware manufacturers that offer developer ecosystems and robust device management tooling reduce total cost of ownership and operational risk for adopters.
Actionable strategic guidance for leaders to capture immediate operational wins while building resilient procurement and scalable integration capabilities
Industry leaders should pursue a portfolio approach that balances immediate operational wins with foundational investments designed to preserve flexibility amid evolving trade and technology conditions. Short-term efforts should prioritize quick-win deployments that address high-impact use cases such as inventory accuracy, cold chain integrity and transportation exception management, using modular software and cloud-capable systems to accelerate value realization. Simultaneously, leaders must invest in integration frameworks and device management strategies that allow hardware and software components to be swapped or upgraded without disrupting core workflows.
Strategic procurement that factors tariff exposure and supplier diversification is essential to maintain resilience. Organizations should adopt contract terms that allow for lead-time variability, leverage multi-sourcing where feasible, and explore nearshoring for critical hardware components. On the organizational front, cross-functional teams that pair procurement, IT and operations will shorten decision cycles and ensure that pilot learnings scale effectively. Finally, invest in upskilling programs and change management to embed data-driven decision practices; the full potential of smart and mobile solutions is realized only when technology capabilities are matched by process reengineering and clear performance metrics.
A rigorous mixed methods research approach combining practitioner interviews and secondary validation to produce operationally relevant supply chain intelligence
The research methodology combines qualitative primary engagements and rigorous secondary analysis to ensure findings reflect practical, operational realities and current technology trajectories. Primary research consists of interviews with senior supply chain practitioners, IT architects, procurement specialists and solution providers who have direct responsibility for selection, deployment and performance management of mobile and smart supply chain technologies. These conversations are structured to surface deployment barriers, success factors, integration practices and service delivery models observed in live implementations.
Secondary analysis draws on publicly available regulatory documents, vendor technical specifications, industry whitepapers and case study disclosures to validate patterns observed in primary engagements. Comparative assessment across deployment models and vertical use cases enables identification of common architectural choices and recurring pain points. The methodology emphasizes triangulation: where possible, statements from practitioners are cross-checked against vendor documentation and observable implementation characteristics to ensure robust and actionable conclusions. Throughout, the approach prioritizes operational relevance over theoretical constructs, aiming to provide leaders with practical intelligence they can apply to procurement, architecture and program management decisions.
A concise synthesis that underscores the strategic imperative of integrating devices software and services to achieve resilient efficient and customer centric supply chains
Smart and mobile supply chain solutions are no longer peripheral experiments but central instruments of operational agility, cost management and customer experience enhancement. The integration of specialized hardware, advanced software and professional services creates a capability stack that supports real-time visibility, predictive operations and adaptive fulfilment. While tariff dynamics and regional differences introduce complexity, they also highlight the importance of flexible architecture, diversified sourcing and an organizational capability to translate device-level data into decision-grade insights.
Leaders who align procurement, IT and operations around clear use cases and measurable outcomes will capture disproportionate value. The path to value requires pragmatic investments in integration, device lifecycle management and workforce enablement. By approaching modern supply chain transformation as an iterative program-with pilot, scale and sustain phases-organizations can de-risk adoption while steadily shifting to more resilient, efficient and customer-centric fulfilment models.
Please Note: PDF & Excel + Online Access - 1 Year
A strategic framing of how integrated mobility, sensing and software reshape operational visibility resilience and competitive differentiation across modern supply chains
The contemporary supply chain is undergoing a rapid convergence of mobility, embedded intelligence and networked sensing that is reconfiguring how goods move, how inventory is managed and how decisions are made across distributed operations. At its core, smart and mobile supply chain solutions combine hardware such as mobile devices and sensors with software for analytics, planning and execution, and services that enable integration, deployment and ongoing support. This combination delivers new operational visibility and decision velocity, reducing latency between event detection and corrective action while enabling more resilient and flexible fulfilment models.
Strategic leaders now regard these solutions not as optional optimizations but as foundational enablers of competitiveness. Investment in enabled workflows and connected devices is unlocking new service propositions, from last-mile delivery orchestration to real-time cold chain integrity. Moreover, the shift toward cloud-native deployments and modular software architectures is lowering barriers to adoption, allowing small and medium enterprises to access capabilities previously reserved for larger players. This introduction sets the stage for a deeper examination of the transformational shifts, tariff impacts, segmentation insights, regional dynamics and actionable recommendations that follow.
How edge intelligence ubiquitous sensing and orchestration platforms are converging to redefine fulfilment models cloud adoption and the role of integration services
The landscape of supply chain technology is marked by several transformative shifts that are remapping capability stacks and enterprise priorities. First, edge intelligence and ubiquitous sensing have graduated from experimental pilots to production-grade deployments, enabling continuous condition monitoring and event-driven automation across warehouses, fleets and manufacturing lines. This transition amplifies the value of hardware such as barcode scanners, RFID readers and sensors, while increasing demand for software that fuses streaming telemetry with inventory and transportation workflows.
Concurrently, orchestration platforms and transportation management systems are evolving to support hybrid fulfilment patterns that blend direct-to-consumer shipments with localized micro-fulfilment and third-party logistics partnerships. Cloud deployment models are accelerating innovation cycles by decoupling updates from physical infrastructure constraints, but on-premises implementations remain relevant for regulated environments and latency-sensitive operations. Services such as consulting, systems integration and ongoing maintenance are therefore critical to bridge the gap between vendor capability and operational reality, ensuring that deployments deliver measurable process improvements and sustainable total cost of ownership.
Practical implications of United States tariff measures on procurement sourcing lead times and architecture choices for hardware intensive supply chain deployments
United States tariff policies enacted and announced for 2025 introduce material considerations for procurement, supplier strategy and total landed cost across global supply networks. Tariff adjustments exert upward pressure on hardware procurement costs for devices and components that traverse tariffed trade lanes, which in turn affects decisions about where to source barcode scanners, connected sensors and robotics. For many organizations, this has prompted a reassessment of supplier diversification, greater scrutiny of bill of materials to identify tariff-exposed content, and renewed interest in nearshoring as a risk mitigation strategy.
Beyond immediate procurement implications, tariffs alter the economics of deployment models. Organizations evaluating cloud versus on-premises tradeoffs now must factor in the capital and operational consequences of hardware acquisition subject to tariffs, as well as the potential for supply chain bottlenecks that lengthen lead times for physical devices. Service delivery models, especially for integration and maintenance, are also affected as labor and travel patterns adjust to new sourcing geographies. As a result, procurement teams and supply chain architects are increasingly collaborating to model scenario-driven responses that prioritize continuity of operations, contractual flexibility and modular architecture choices that reduce exposure to tariff volatility.
A detailed segmentation analysis linking component categories deployment choices enterprise scale and vertical use cases to adoption pathways and capability priorities
A nuanced segmentation view illuminates how adoption pathways vary across technology components, deployment modes, enterprise scale and vertical use cases. When examining component-level dynamics, hardware demand remains anchored by mobile devices and sensors but increasingly includes specialized categories such as drones, robotics and RFID readers that extend visibility beyond traditional scanning touchpoints. Software requirements span analytics and reporting to core inventory and warehouse management systems, with transportation management and order management systems playing a central role in orchestrating distributed fulfilment. Services complement these layers through consulting, systems integration and ongoing maintenance that enable initial deployment and sustain operational performance.
Deployment choice between cloud and on-premises is heavily influenced by regulatory constraints, data sovereignty concerns and the need for deterministic performance at the edge. Large enterprises tend to prioritize integrated multi-site deployments and vendor consolidation to manage complexity, while small and medium enterprises focus on modular, consumption-based offerings that reduce upfront investment and enable rapid time-to-value. Industry verticals also drive differentiation: asset-intensive sectors like logistics and manufacturing emphasize asset tracking and fleet management, healthcare and pharmaceuticals demand stringent cold chain monitoring and traceability, and retail and e-commerce prioritize inventory management and rapid order fulfilment. Application-level segmentation further clarifies priorities, as demand planning and forecasting intersect with supplier relationship and transportation management to create end-to-end use cases that span suppliers, warehouses and last-mile carriers.
How regional regulatory frameworks infrastructure maturity and industrial profiles shape differentiated adoption models and deployment priorities globally
Regional dynamics shape both the pace and pattern of smart and mobile supply chain solution adoption, with distinct strategic implications across the Americas, Europe Middle East & Africa, and Asia-Pacific regions. In the Americas, investment momentum is driven by large-scale logistics hubs, e-commerce intensity and a focus on omnichannel fulfilment that favors rapid integration of mobile devices and robust transportation management capabilities. North American regulators and large retail customers also drive demand for detailed chain-of-custody and cold chain compliance, elevating the role of analytics and reporting tools.
Europe, Middle East & Africa present a heterogeneous landscape where regulatory frameworks, infrastructure maturity and labor models vary significantly. Countries with dense urban logistics networks and advanced manufacturing bases show strong appetite for robotics and warehouse management systems, while regions with complex cross-border trade require sophisticated customs-aware supply chain planning. Asia-Pacific continues to be a hotbed for hardware manufacturing and innovation in mobile devices and sensors, with strong adoption where high-volume logistics and rapid fulfilment cycles demand scalable automation and local cloud or hybrid deployment approaches. Across all regions, the interplay between regulatory compliance, talent availability and vendor ecosystems determines the practical path to large-scale adoption and operationalization.
Insights on vendor strategies partnerships and integration models that determine competitive advantage across software hardware and services ecosystems
Competitive dynamics in the smart and mobile supply chain ecosystem reflect a blend of established enterprise software vendors, specialized hardware manufacturers and nimble systems integrators that together form the buyer’s ecosystem. Leading software providers concentrate on expanding platform interoperability and embedding predictive analytics into inventory and transportation workflows, while hardware vendors prioritize ruggedized mobile devices, advanced RFID solutions and robotics capable of operating in high-throughput environments. Systems integrators and consulting practices differentiate through verticalized expertise and packaged service bundles that accelerate time-to-value by reducing integration complexity and aligning technology roadmaps with operational objectives.
Partnerships and channel strategies prove decisive as organizations seek end-to-end outcomes rather than discrete product purchases. Vendors that can demonstrate repeatable deployment models, strong references in targeted verticals and clear roadmaps for continuous improvement and support capture a strategic advantage. Moreover, alliances between cloud providers and niche software vendors create pathways for smaller solution providers to scale, while hardware manufacturers that offer developer ecosystems and robust device management tooling reduce total cost of ownership and operational risk for adopters.
Actionable strategic guidance for leaders to capture immediate operational wins while building resilient procurement and scalable integration capabilities
Industry leaders should pursue a portfolio approach that balances immediate operational wins with foundational investments designed to preserve flexibility amid evolving trade and technology conditions. Short-term efforts should prioritize quick-win deployments that address high-impact use cases such as inventory accuracy, cold chain integrity and transportation exception management, using modular software and cloud-capable systems to accelerate value realization. Simultaneously, leaders must invest in integration frameworks and device management strategies that allow hardware and software components to be swapped or upgraded without disrupting core workflows.
Strategic procurement that factors tariff exposure and supplier diversification is essential to maintain resilience. Organizations should adopt contract terms that allow for lead-time variability, leverage multi-sourcing where feasible, and explore nearshoring for critical hardware components. On the organizational front, cross-functional teams that pair procurement, IT and operations will shorten decision cycles and ensure that pilot learnings scale effectively. Finally, invest in upskilling programs and change management to embed data-driven decision practices; the full potential of smart and mobile solutions is realized only when technology capabilities are matched by process reengineering and clear performance metrics.
A rigorous mixed methods research approach combining practitioner interviews and secondary validation to produce operationally relevant supply chain intelligence
The research methodology combines qualitative primary engagements and rigorous secondary analysis to ensure findings reflect practical, operational realities and current technology trajectories. Primary research consists of interviews with senior supply chain practitioners, IT architects, procurement specialists and solution providers who have direct responsibility for selection, deployment and performance management of mobile and smart supply chain technologies. These conversations are structured to surface deployment barriers, success factors, integration practices and service delivery models observed in live implementations.
Secondary analysis draws on publicly available regulatory documents, vendor technical specifications, industry whitepapers and case study disclosures to validate patterns observed in primary engagements. Comparative assessment across deployment models and vertical use cases enables identification of common architectural choices and recurring pain points. The methodology emphasizes triangulation: where possible, statements from practitioners are cross-checked against vendor documentation and observable implementation characteristics to ensure robust and actionable conclusions. Throughout, the approach prioritizes operational relevance over theoretical constructs, aiming to provide leaders with practical intelligence they can apply to procurement, architecture and program management decisions.
A concise synthesis that underscores the strategic imperative of integrating devices software and services to achieve resilient efficient and customer centric supply chains
Smart and mobile supply chain solutions are no longer peripheral experiments but central instruments of operational agility, cost management and customer experience enhancement. The integration of specialized hardware, advanced software and professional services creates a capability stack that supports real-time visibility, predictive operations and adaptive fulfilment. While tariff dynamics and regional differences introduce complexity, they also highlight the importance of flexible architecture, diversified sourcing and an organizational capability to translate device-level data into decision-grade insights.
Leaders who align procurement, IT and operations around clear use cases and measurable outcomes will capture disproportionate value. The path to value requires pragmatic investments in integration, device lifecycle management and workforce enablement. By approaching modern supply chain transformation as an iterative program-with pilot, scale and sustain phases-organizations can de-risk adoption while steadily shifting to more resilient, efficient and customer-centric fulfilment models.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
187 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. Integration of AI-powered predictive analytics for real-time demand forecasting across multi-tier supply networks
- 5.2. Deployment of blockchain-enabled traceability solutions via mobile scanning devices to secure end-to-end product provenance
- 5.3. Adoption of edge computing architectures in IoT-enabled warehouses to accelerate on-device data processing and reduce latency
- 5.4. Implementation of autonomous mobile robots guided by computer vision to optimize order picking in high-density distribution centers
- 5.5. Leveraging 5G connectivity to unify remote asset monitoring and control across geographically dispersed logistics operations
- 5.6. Utilization of digital twin simulations to validate supply chain disruption scenarios and accelerate contingency planning
- 5.7. Integration of cloud-native transportation management systems with smartphone interfaces for dynamic route optimization and live tracking
- 5.8. Deployment of RFID-enabled inventory management via mobile handheld readers to achieve real-time stock accuracy and replenishment
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Smart & Mobile Supply Chain Solutions Market, by Component
- 8.1. Hardware
- 8.1.1. Barcode Scanners
- 8.1.2. Drones & Robotics
- 8.1.3. Mobile Devices
- 8.1.4. RFID Tags & Readers
- 8.1.5. Sensors & IoT Devices
- 8.2. Services
- 8.2.1. Consulting
- 8.2.2. Integration And Deployment
- 8.2.3. Support And Maintenance
- 8.3. Software
- 8.3.1. Analytics & Reporting Tools
- 8.3.2. Inventory Management Software
- 8.3.3. Order Management Systems
- 8.3.4. Procurement Software
- 8.3.5. Supply Chain Planning Software
- 8.3.6. Transportation Management Systems (TMS)
- 8.3.7. Warehouse Management Systems (WMS)
- 9. Smart & Mobile Supply Chain Solutions Market, by Deployment
- 9.1. Cloud
- 9.2. On-Premises
- 10. Smart & Mobile Supply Chain Solutions Market, by Enterprise Size
- 10.1. Large Enterprise
- 10.2. Small & Medium Enterprise
- 11. Smart & Mobile Supply Chain Solutions Market, by Industry Vertical
- 11.1. Agriculture
- 11.2. Automotive
- 11.3. Consumer Electronics
- 11.4. Energy & Utilities
- 11.5. Food & Beverage
- 11.6. Healthcare & Pharmaceuticals
- 11.7. Logistics & Transportation
- 11.8. Manufacturing
- 11.9. Retail & E-commerce
- 12. Smart & Mobile Supply Chain Solutions Market, by Application
- 12.1. Asset Tracking & Fleet Management
- 12.2. Cold Chain Monitoring
- 12.3. Demand Planning & Forecasting
- 12.4. Inventory & Warehouse Management
- 12.5. Order Fulfillment & Reverse Logistics
- 12.6. Supplier Relationship Management
- 12.7. Transportation & Logistics Management
- 13. Smart & Mobile Supply Chain Solutions 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. Smart & Mobile Supply Chain Solutions Market, by Group
- 14.1. ASEAN
- 14.2. GCC
- 14.3. European Union
- 14.4. BRICS
- 14.5. G7
- 14.6. NATO
- 15. Smart & Mobile Supply Chain Solutions 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. SAP SE
- 16.3.2. Oracle Corporation
- 16.3.3. IBM Corporation
- 16.3.4. Manhattan Associates, Inc.
- 16.3.5. Blue Yonder Group, Inc.
- 16.3.6. Kinaxis Inc.
- 16.3.7. Coupa Software Inc.
- 16.3.8. Descartes Systems Group Inc.
- 16.3.9. E2open, LLC
- 16.3.10. Infor, Inc.
- 16.3.11. Epicor Software Corporation
- 16.3.12. HighJump Software Inc.
- 16.3.13. Kewill Systems PLC
- 16.3.14. JDA Software Group, Inc.
- 16.3.15. Logility, Inc.
- 16.3.16. ToolsGroup
- 16.3.17. One Network Enterprises
- 16.3.18. Omnibus
- 16.3.19. Zebra Technologies Corporation
- 16.3.20. Honeywell International Inc.
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