Internet Of Things in Logistics Market by Component (Hardware, Service, Software), Application (Cold Chain Monitoring, Fleet Management, Inventory Tracking), Industry Vertical, Deployment Mode, Organization Size - Global Forecast 2025-2032
Description
The Internet Of Things in Logistics Market was valued at USD 53.25 billion in 2024 and is projected to grow to USD 60.37 billion in 2025, with a CAGR of 14.84%, reaching USD 161.17 billion by 2032.
An authoritative framing of IoT’s role in logistics that clarifies how connected systems convert sensor data into operational resilience and competitive differentiation
The Internet of Things (IoT) is redefining how logistics organizations measure, manage and mobilize assets across increasingly complex supply chains. Sensor-enabled visibility, real-time telemetry, and automated alerting capabilities are no longer experimental add-ons but integral building blocks that support operational resilience, regulatory compliance, and differentiated service propositions. As carriers, third-party logistics providers, and shippers integrate connected devices with telematics platforms and warehouse control systems, they gain previously inaccessible insight into asset condition, movement, and performance, enabling more precise exception management and resource allocation.
This introduction frames an executive-level perspective on the convergence of hardware, software and services within logistics operations and highlights how interoperability between edge devices, cloud services and on-premises orchestration layers drives practical outcomes. It explains why decision-makers should approach IoT not merely as a technology investment but as an operational transformation program that requires cross-functional governance, updated process design, and supplier collaboration. The subsequent sections elaborate on the structural shifts reshaping the landscape, the role of tariff dynamics in supply chain decisions, segmentation-driven opportunity areas, and regional nuances that influence adoption strategies.
How integrated connectivity, edge analytics, and platform-centric procurement are reshaping logistics operations and supply chain decision-making across the ecosystem
Logistics is experiencing a sequence of transformative shifts that go beyond incremental automation to alter business models, network design, and customer expectations. Connected devices now provide continuous telemetry across cold chains, fleets, and warehouses, enabling predictive maintenance, temperature-controlled routing, and real-time inventory reconciliation. Edge computing and distributed analytics are reducing latency for critical decisions while enabling data reduction strategies that lower bandwidth demands, and the maturation of secure device management practices has improved the feasibility of large-scale deployments.
At the same time, integrative software platforms are connecting telematics, warehouse management, and last-mile orchestration to create a more cohesive operational fabric. This convergence allows organizations to transition from reactive exception-handling to proactive orchestration that optimizes load planning, route selection, and capacity utilization. There is also a clear shift in procurement patterns: buyers are increasingly seeking vendor ecosystems that combine robust hardware, adaptive software and outcome-oriented services rather than standalone hardware or point solutions. Collectively, these dynamics are forcing logistics operators to re-evaluate technology roadmaps, talent strategies, and partnership models to realize the full promise of IoT-driven transformation.
Assessing how 2025 tariff shifts have reinforced supply chain visibility needs and driven resilient sourcing, modular hardware strategies, and adaptive commercial models
Tariff actions and changes in trade policy introduced in 2025 have exerted a cumulative influence on logistics strategies, vendor sourcing, and cost management practices without altering the underlying strategic value of IoT technologies. Increased duties and broader tariff coverage amplified the importance of supply chain visibility and supplier diversification as procurement teams sought to understand landed cost implications and to mitigate exposure to single-source dependencies. As a result, many organizations accelerated efforts to map multi-tier supplier networks, utilize enhanced visibility tools, and reconfigure transportation lanes to optimize total cost-to-serve rather than purely transactional unit costs.
In parallel, hardware-dependent segments of IoT deployments-such as sensor modules, gateways and telematics devices-faced pressure from component price variability and shipping cost fluctuations. That reality pushed adopters to prioritize modular designs, extended device lifecycles, and strategic inventory positions for critical spares. Service and software providers responded by offering more flexible commercial models, including subscription-based analytics and managed-device services, that absorb some of the procurement volatility. Taken together, these adaptations illustrate that while tariff changes created near-term operational and sourcing challenges, they also reinforced long-term demand for resilient, data-driven logistics architectures and supplier relationships.
A layered segmentation perspective that reveals where technical requirements, commercial models, and implementation risk converge for prioritized IoT adoption
Examining the market through a segmentation lens clarifies where adoption momentum and implementation complexity are most pronounced across component, application, deployment mode, industry vertical, and organization size. Based on component, the ecosystem includes hardware, service, and software, where hardware drives physical visibility while software and services extract and operationalize insight. Based on application, deployments concentrate on cold chain monitoring, fleet management, inventory tracking, last mile delivery, and warehouse management, each of which imposes distinct requirements for sensor fidelity, latency tolerance, and integration depth. Based on deployment mode, solutions are realized through cloud or on-premises architectures, with cloud enabling rapid scalability and on-premises offering tighter control for regulated or latency-sensitive environments.
Based on industry vertical, users span automotive, healthcare, manufacturing, oil and gas, retail, and transportation and logistics. The manufacturing segment is further examined through discrete manufacturing and process manufacturing lenses, underscoring divergent asset types and data needs. The retail vertical is differentiated into brick and mortar and ecommerce channels, highlighting differences in fulfillment patterns and last-mile complexity. Transportation and logistics is broken down into air freight, rail freight, road freight, and sea freight, reflecting modal-specific telemetry and regulatory constraints. Finally, based on organization size, the study distinguishes large enterprises from small and medium enterprises, recognizing that scale influences procurement sophistication, integration capability, and appetite for managed services. These layered segment views show where technical requirements, commercial models, and implementation risk align, enabling more precise prioritization of pilot programs and scaled rollouts.
Regional variations in regulation, infrastructure, and commercial ecosystems that dictate distinct IoT adoption pathways across major global markets
Regional dynamics materially influence technology choices, vendor ecosystems, and regulatory considerations, creating differentiated adoption pathways across the Americas, Europe, Middle East & Africa, and Asia-Pacific. In the Americas, logistics organizations often emphasize rapid innovation cycles, telematics-driven fleet optimization, and integration with digital freight platforms, while regulatory frameworks and infrastructure readiness shape deployment speed and cross-border interoperability. In Europe, Middle East & Africa, regulatory stringency around data protection and cross-border customs processes tends to steer implementation toward privacy-preserving architectures and robust compliance controls, with particular attention to sustainability reporting and modal decarbonization efforts.
Asia-Pacific is characterized by a blend of high-volume manufacturing, dense urban logistics challenges, and rapid digital adoption, which drives demand for scalable cloud-native solutions alongside localized device sourcing and manufacturing partnerships. Each region also exhibits variance in the maturity of last-mile ecosystems, cold chain infrastructure, and modal mix, leading organizations to tailor pilot scope and partner selection to regional operational realities. These regional distinctions underscore the importance of aligning technology roadmaps with local logistics practices and regulatory requirements to ensure that IoT investments translate into measurable operational improvements.
How vendor differentiation through device security, edge intelligence, and integrated service models is reshaping competitive positioning in logistics IoT
Competitive dynamics in the IoT logistics space reflect a mix of specialist hardware manufacturers, platform-oriented software providers, and service firms that deliver integration and managed operations. Vendors are differentiating through capabilities such as secure device lifecycle management, edge analytics, domain-specific application templates, and broad protocol support to ease interoperability with legacy telematics and warehouse control systems. Strategic partnerships and channel models are increasingly important as organizations seek bundled solutions that reduce integration overhead and accelerate time-to-first-value.
In addition, there is a clear bifurcation between providers serving large enterprises and those optimized for small and medium enterprises. Larger customers tend to demand bespoke integrations, stringent security certifications, and professional services capacity, whereas smaller organizations prioritize lower entry cost, pre-integrated solutions, and consumption-based pricing. Across the competitive landscape, successful companies demonstrate a capacity to blend hardware reliability with adaptable software and service offerings that accommodate diverse deployment modes and industry-specific needs. This alignment determines long-term commercial viability as buyers migrate from proof-of-concept pilots to operational scale.
Practical governance, modular architecture and supplier alignment tactics to convert IoT pilots into sustainable operational programs that reduce risk and accelerate value
Leaders aiming to extract durable value from IoT investments should pursue a combination of strategic governance, pragmatic pilot design, and supplier alignment. First, establishing cross-functional governance that includes operations, IT, procurement, and compliance ensures that pilots are measured against operational metrics and not just technical milestones. Second, pilots should be scoped to validate both technical interoperability and business outcomes by selecting use cases-such as temperature-controlled shipments or telematics-enabled preventive maintenance-that produce measurable operational improvements and clear ROI pathways.
Third, organizations should prefer modular architectures that separate device management, data ingestion, analytics, and application layers; this approach preserves flexibility and reduces vendor lock-in. Fourth, procurement strategies should emphasize total cost-to-serve and lifecycle support, including spares management and firmware update procedures. Fifth, cultivate supplier relationships that include clear SLAs, joint roadmaps, and the ability to scale managed services as internal capabilities mature. Finally, invest in workforce capability through targeted training and change management so that insights derived from IoT systems are operationalized by frontline teams. Collectively, these steps convert technology pilots into sustainable operational programs and create governance structures that manage risk while unlocking efficiency gains.
A rigorous mixed-methods approach combining primary stakeholder interviews, technical evaluations, and triangulated secondary research to validate practical insights
The research methodology integrates primary and secondary approaches to ensure robust, validated insights, combining stakeholder interviews, technology assessments, and cross-sector benchmarking. Primary research included structured interviews with logistics leaders, solution architects, procurement specialists and service providers to capture first-hand perspectives on deployment challenges, commercial models, and operational outcomes. These conversations were complemented by technical reviews of device specifications, protocol compatibility, and security practices to evaluate real-world readiness and integration complexity.
Secondary research synthesized public filings, regulatory documents, supplier whitepapers, and industry press to map technology trends and vendor positioning. Where applicable, triangulation techniques were used to validate qualitative findings, and scenario analysis examined the implications of supply chain disruptions and tariff changes on procurement strategies. Throughout the process, data quality controls-such as cross-validation with multiple sources, transparency on assumptions, and expert review-helped ensure the study’s conclusions are grounded in operational reality and practical applicability for logistics decision-makers.
Firm conclusions on how modular architectures, targeted pilots, and supply chain visibility priorities combine to make IoT a strategic enabler for logistics transformation
In conclusion, the integration of IoT into logistics operations represents a durable shift from episodic visibility solutions to continuous, data-driven orchestration that underpins resilience and competitive differentiation. Organizations that adopt modular architectures, align procurement with total cost objectives, and embed cross-functional governance are better positioned to translate telemetry into operational outcomes. The 2025 tariff environment underscored the importance of supply chain visibility and flexible sourcing strategies, prompting a renewed emphasis on supplier diversification and device lifecycle planning.
Going forward, leaders should balance a pragmatic approach to pilot selection with investments in scale-enabling capabilities such as secure device management, edge analytics, and integration frameworks that bridge legacy systems. Regional nuances demand localized deployment strategies and partner selection, while segmentation insights help prioritize where to invest first-whether in cold chain monitoring for regulated industries, telematics for fleet-intensive operations, or inventory tracking to improve warehouse throughput. Taken together, these conclusions offer a roadmap for organizations seeking to harness IoT to improve service reliability, reduce operational risk, and capture new efficiencies across logistics networks.
Please Note: PDF & Excel + Online Access - 1 Year
An authoritative framing of IoT’s role in logistics that clarifies how connected systems convert sensor data into operational resilience and competitive differentiation
The Internet of Things (IoT) is redefining how logistics organizations measure, manage and mobilize assets across increasingly complex supply chains. Sensor-enabled visibility, real-time telemetry, and automated alerting capabilities are no longer experimental add-ons but integral building blocks that support operational resilience, regulatory compliance, and differentiated service propositions. As carriers, third-party logistics providers, and shippers integrate connected devices with telematics platforms and warehouse control systems, they gain previously inaccessible insight into asset condition, movement, and performance, enabling more precise exception management and resource allocation.
This introduction frames an executive-level perspective on the convergence of hardware, software and services within logistics operations and highlights how interoperability between edge devices, cloud services and on-premises orchestration layers drives practical outcomes. It explains why decision-makers should approach IoT not merely as a technology investment but as an operational transformation program that requires cross-functional governance, updated process design, and supplier collaboration. The subsequent sections elaborate on the structural shifts reshaping the landscape, the role of tariff dynamics in supply chain decisions, segmentation-driven opportunity areas, and regional nuances that influence adoption strategies.
How integrated connectivity, edge analytics, and platform-centric procurement are reshaping logistics operations and supply chain decision-making across the ecosystem
Logistics is experiencing a sequence of transformative shifts that go beyond incremental automation to alter business models, network design, and customer expectations. Connected devices now provide continuous telemetry across cold chains, fleets, and warehouses, enabling predictive maintenance, temperature-controlled routing, and real-time inventory reconciliation. Edge computing and distributed analytics are reducing latency for critical decisions while enabling data reduction strategies that lower bandwidth demands, and the maturation of secure device management practices has improved the feasibility of large-scale deployments.
At the same time, integrative software platforms are connecting telematics, warehouse management, and last-mile orchestration to create a more cohesive operational fabric. This convergence allows organizations to transition from reactive exception-handling to proactive orchestration that optimizes load planning, route selection, and capacity utilization. There is also a clear shift in procurement patterns: buyers are increasingly seeking vendor ecosystems that combine robust hardware, adaptive software and outcome-oriented services rather than standalone hardware or point solutions. Collectively, these dynamics are forcing logistics operators to re-evaluate technology roadmaps, talent strategies, and partnership models to realize the full promise of IoT-driven transformation.
Assessing how 2025 tariff shifts have reinforced supply chain visibility needs and driven resilient sourcing, modular hardware strategies, and adaptive commercial models
Tariff actions and changes in trade policy introduced in 2025 have exerted a cumulative influence on logistics strategies, vendor sourcing, and cost management practices without altering the underlying strategic value of IoT technologies. Increased duties and broader tariff coverage amplified the importance of supply chain visibility and supplier diversification as procurement teams sought to understand landed cost implications and to mitigate exposure to single-source dependencies. As a result, many organizations accelerated efforts to map multi-tier supplier networks, utilize enhanced visibility tools, and reconfigure transportation lanes to optimize total cost-to-serve rather than purely transactional unit costs.
In parallel, hardware-dependent segments of IoT deployments-such as sensor modules, gateways and telematics devices-faced pressure from component price variability and shipping cost fluctuations. That reality pushed adopters to prioritize modular designs, extended device lifecycles, and strategic inventory positions for critical spares. Service and software providers responded by offering more flexible commercial models, including subscription-based analytics and managed-device services, that absorb some of the procurement volatility. Taken together, these adaptations illustrate that while tariff changes created near-term operational and sourcing challenges, they also reinforced long-term demand for resilient, data-driven logistics architectures and supplier relationships.
A layered segmentation perspective that reveals where technical requirements, commercial models, and implementation risk converge for prioritized IoT adoption
Examining the market through a segmentation lens clarifies where adoption momentum and implementation complexity are most pronounced across component, application, deployment mode, industry vertical, and organization size. Based on component, the ecosystem includes hardware, service, and software, where hardware drives physical visibility while software and services extract and operationalize insight. Based on application, deployments concentrate on cold chain monitoring, fleet management, inventory tracking, last mile delivery, and warehouse management, each of which imposes distinct requirements for sensor fidelity, latency tolerance, and integration depth. Based on deployment mode, solutions are realized through cloud or on-premises architectures, with cloud enabling rapid scalability and on-premises offering tighter control for regulated or latency-sensitive environments.
Based on industry vertical, users span automotive, healthcare, manufacturing, oil and gas, retail, and transportation and logistics. The manufacturing segment is further examined through discrete manufacturing and process manufacturing lenses, underscoring divergent asset types and data needs. The retail vertical is differentiated into brick and mortar and ecommerce channels, highlighting differences in fulfillment patterns and last-mile complexity. Transportation and logistics is broken down into air freight, rail freight, road freight, and sea freight, reflecting modal-specific telemetry and regulatory constraints. Finally, based on organization size, the study distinguishes large enterprises from small and medium enterprises, recognizing that scale influences procurement sophistication, integration capability, and appetite for managed services. These layered segment views show where technical requirements, commercial models, and implementation risk align, enabling more precise prioritization of pilot programs and scaled rollouts.
Regional variations in regulation, infrastructure, and commercial ecosystems that dictate distinct IoT adoption pathways across major global markets
Regional dynamics materially influence technology choices, vendor ecosystems, and regulatory considerations, creating differentiated adoption pathways across the Americas, Europe, Middle East & Africa, and Asia-Pacific. In the Americas, logistics organizations often emphasize rapid innovation cycles, telematics-driven fleet optimization, and integration with digital freight platforms, while regulatory frameworks and infrastructure readiness shape deployment speed and cross-border interoperability. In Europe, Middle East & Africa, regulatory stringency around data protection and cross-border customs processes tends to steer implementation toward privacy-preserving architectures and robust compliance controls, with particular attention to sustainability reporting and modal decarbonization efforts.
Asia-Pacific is characterized by a blend of high-volume manufacturing, dense urban logistics challenges, and rapid digital adoption, which drives demand for scalable cloud-native solutions alongside localized device sourcing and manufacturing partnerships. Each region also exhibits variance in the maturity of last-mile ecosystems, cold chain infrastructure, and modal mix, leading organizations to tailor pilot scope and partner selection to regional operational realities. These regional distinctions underscore the importance of aligning technology roadmaps with local logistics practices and regulatory requirements to ensure that IoT investments translate into measurable operational improvements.
How vendor differentiation through device security, edge intelligence, and integrated service models is reshaping competitive positioning in logistics IoT
Competitive dynamics in the IoT logistics space reflect a mix of specialist hardware manufacturers, platform-oriented software providers, and service firms that deliver integration and managed operations. Vendors are differentiating through capabilities such as secure device lifecycle management, edge analytics, domain-specific application templates, and broad protocol support to ease interoperability with legacy telematics and warehouse control systems. Strategic partnerships and channel models are increasingly important as organizations seek bundled solutions that reduce integration overhead and accelerate time-to-first-value.
In addition, there is a clear bifurcation between providers serving large enterprises and those optimized for small and medium enterprises. Larger customers tend to demand bespoke integrations, stringent security certifications, and professional services capacity, whereas smaller organizations prioritize lower entry cost, pre-integrated solutions, and consumption-based pricing. Across the competitive landscape, successful companies demonstrate a capacity to blend hardware reliability with adaptable software and service offerings that accommodate diverse deployment modes and industry-specific needs. This alignment determines long-term commercial viability as buyers migrate from proof-of-concept pilots to operational scale.
Practical governance, modular architecture and supplier alignment tactics to convert IoT pilots into sustainable operational programs that reduce risk and accelerate value
Leaders aiming to extract durable value from IoT investments should pursue a combination of strategic governance, pragmatic pilot design, and supplier alignment. First, establishing cross-functional governance that includes operations, IT, procurement, and compliance ensures that pilots are measured against operational metrics and not just technical milestones. Second, pilots should be scoped to validate both technical interoperability and business outcomes by selecting use cases-such as temperature-controlled shipments or telematics-enabled preventive maintenance-that produce measurable operational improvements and clear ROI pathways.
Third, organizations should prefer modular architectures that separate device management, data ingestion, analytics, and application layers; this approach preserves flexibility and reduces vendor lock-in. Fourth, procurement strategies should emphasize total cost-to-serve and lifecycle support, including spares management and firmware update procedures. Fifth, cultivate supplier relationships that include clear SLAs, joint roadmaps, and the ability to scale managed services as internal capabilities mature. Finally, invest in workforce capability through targeted training and change management so that insights derived from IoT systems are operationalized by frontline teams. Collectively, these steps convert technology pilots into sustainable operational programs and create governance structures that manage risk while unlocking efficiency gains.
A rigorous mixed-methods approach combining primary stakeholder interviews, technical evaluations, and triangulated secondary research to validate practical insights
The research methodology integrates primary and secondary approaches to ensure robust, validated insights, combining stakeholder interviews, technology assessments, and cross-sector benchmarking. Primary research included structured interviews with logistics leaders, solution architects, procurement specialists and service providers to capture first-hand perspectives on deployment challenges, commercial models, and operational outcomes. These conversations were complemented by technical reviews of device specifications, protocol compatibility, and security practices to evaluate real-world readiness and integration complexity.
Secondary research synthesized public filings, regulatory documents, supplier whitepapers, and industry press to map technology trends and vendor positioning. Where applicable, triangulation techniques were used to validate qualitative findings, and scenario analysis examined the implications of supply chain disruptions and tariff changes on procurement strategies. Throughout the process, data quality controls-such as cross-validation with multiple sources, transparency on assumptions, and expert review-helped ensure the study’s conclusions are grounded in operational reality and practical applicability for logistics decision-makers.
Firm conclusions on how modular architectures, targeted pilots, and supply chain visibility priorities combine to make IoT a strategic enabler for logistics transformation
In conclusion, the integration of IoT into logistics operations represents a durable shift from episodic visibility solutions to continuous, data-driven orchestration that underpins resilience and competitive differentiation. Organizations that adopt modular architectures, align procurement with total cost objectives, and embed cross-functional governance are better positioned to translate telemetry into operational outcomes. The 2025 tariff environment underscored the importance of supply chain visibility and flexible sourcing strategies, prompting a renewed emphasis on supplier diversification and device lifecycle planning.
Going forward, leaders should balance a pragmatic approach to pilot selection with investments in scale-enabling capabilities such as secure device management, edge analytics, and integration frameworks that bridge legacy systems. Regional nuances demand localized deployment strategies and partner selection, while segmentation insights help prioritize where to invest first-whether in cold chain monitoring for regulated industries, telematics for fleet-intensive operations, or inventory tracking to improve warehouse throughput. Taken together, these conclusions offer a roadmap for organizations seeking to harness IoT to improve service reliability, reduce operational risk, and capture new efficiencies across logistics networks.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
185 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. Edge computing integration for real time analytics in autonomous logistics networks
- 5.2. Blockchain based supply chain traceability to enhance cargo transparency and trust
- 5.3. AI driven predictive maintenance models for proactive fleet performance monitoring
- 5.4. 5G enabled telematics solutions for ultra low latency tracking and communication
- 5.5. Digital twin implementations for warehouse optimization and virtual logistics testing
- 5.6. Sensor fusion techniques to improve cold chain compliance and perishable goods safety
- 5.7. Energy harvesting IoT sensors for long term asset monitoring in remote logistics hubs
- 5.8. End to end cybersecurity frameworks for securing interconnected logistics IoT environments
- 5.9. Cloud native microservices architecture for scalable real time IoT data orchestration
- 5.10. Autonomous drone integration for last mile delivery with dynamic IoT routing optimization
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Internet Of Things in Logistics Market, by Component
- 8.1. Hardware
- 8.2. Service
- 8.3. Software
- 9. Internet Of Things in Logistics Market, by Application
- 9.1. Cold Chain Monitoring
- 9.2. Fleet Management
- 9.3. Inventory Tracking
- 9.4. Last Mile Delivery
- 9.5. Warehouse Management
- 10. Internet Of Things in Logistics Market, by Industry Vertical
- 10.1. Automotive
- 10.2. Healthcare
- 10.3. Manufacturing
- 10.3.1. Discrete Manufacturing
- 10.3.2. Process Manufacturing
- 10.4. Oil And Gas
- 10.5. Retail
- 10.5.1. Brick And Mortar
- 10.5.2. Ecommerce
- 10.6. Transportation And Logistics
- 10.6.1. Air Freight
- 10.6.2. Rail Freight
- 10.6.3. Road Freight
- 10.6.4. Sea Freight
- 11. Internet Of Things in Logistics Market, by Deployment Mode
- 11.1. Cloud
- 11.2. On Premises
- 12. Internet Of Things in Logistics Market, by Organization Size
- 12.1. Large Enterprises
- 12.2. Small And Medium Enterprises
- 13. Internet Of Things 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. Internet Of Things 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. Internet Of Things 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. AT&T Inc.
- 16.3.2. Bosch.IO GmbH
- 16.3.3. CalAmp Corp.
- 16.3.4. Cisco Systems, Inc.
- 16.3.5. Eurotech S.p.A.
- 16.3.6. Honeywell International Inc.
- 16.3.7. IBM Corporation
- 16.3.8. KORE Wireless Group, Inc.
- 16.3.9. Oracle Corporation
- 16.3.10. ORBCOMM Inc.
- 16.3.11. PTC Inc.
- 16.3.12. SAP SE
- 16.3.13. Siemens AG
- 16.3.14. Telit Communications PLC
- 16.3.15. Verizon Communications Inc.
- 16.3.16. Zebra Technologies Corporation
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