IoT based Asset Tracking & Monitoring Market by Component (Hardware, Services, Software), Communication Technology (5G, BLE, GPS), Connectivity Type, Application, End User - Global Forecast 2025-2032
Description
The IoT based Asset Tracking & Monitoring Market was valued at USD 7.80 billion in 2024 and is projected to grow to USD 8.68 billion in 2025, with a CAGR of 11.69%, reaching USD 18.91 billion by 2032.
An incisive overview of IoT-driven asset tracking and monitoring technologies reshaping operational visibility across industries and supply chains globally
The proliferation of connected sensors, edge compute capabilities, and pervasive wireless connectivity has fundamentally redefined how organizations locate, monitor, and manage physical assets. Operational leaders now expect continuous visibility into asset condition, location, and utilization without the delays and manual overhead that characterized legacy processes. As a result, asset tracking and monitoring have evolved from niche projects into enterprise-level capabilities that underpin logistics optimization, maintenance transformation, and regulatory compliance.
This evolution is driven by a convergence of factors: advancements in low-power wide-area networking, affordability of sensor hardware, maturation of cloud platforms, and rising expectations for sustainability and traceability across supply chains. Consequently, organizations are shifting from periodic, manual audits to real-time telemetry and predictive workflows that reduce downtime and improve asset utilization. In addition, integration with enterprise systems such as ERP and maintenance management platforms is making data actionable, enabling automated workflows that convert sensor signals into business outcomes.
Looking forward, the pace of adoption will be influenced by how well vendors and implementers address interoperability, data governance, and the operational burden of device lifecycle management. Strategic implementations will prioritize scalable architectures and clear business cases that align tracking capabilities with measurable KPIs across operations, finance, and compliance functions.
Emerging technological and business model shifts in IoT asset tracking that are accelerating digital transformation and enabling real-time decision making at scale
The landscape for asset tracking and monitoring is experiencing transformative shifts driven by both technology maturation and changing commercial models. Edge computing is becoming more capable, enabling preprocessing of sensor data and reducing latency for high-value real-time decisions. As a result, organizations can execute local automations and condition-based responses without round-trip cloud dependency, which improves resiliency and reduces operational cost pressures.
Simultaneously, communication technologies are diversifying. Cellular options, LPWAN protocols, satellite connectivity, and short-range technologies each play distinct roles depending on asset mobility, geographic coverage, and power budgets. This diversification allows solution architects to tailor connectivity to use-case constraints and cost targets, while hybrid connectivity models are emerging as a best practice for critical assets that migrate across coverage zones.
Business models are also shifting. Outcomes-based and subscription pricing are reducing upfront capital barriers and fostering broader adoption among mid-market enterprises. In parallel, platform consolidation and open APIs are encouraging ecosystems where hardware vendors, connectivity providers, and analytics specialists interoperate to accelerate deployments. Consequently, buyers increasingly prioritize modularity, vendor neutrality, and lifecycle services that reduce integration friction and support rapid scaling.
Assessment of the cumulative effects of United States tariff changes in 2025 on global IoT supply chains hardware sourcing and cross-border deployment strategies
Recent tariff adjustments in the United States have introduced a layer of complexity for global IoT hardware sourcing and logistics planning. Hardware components such as sensors, gateways, and radio modules frequently traverse multiple jurisdictions during manufacturing and assembly, and changes in tariff schedules can affect landed costs, supplier selection, and inventory strategies. Consequently, procurement teams are recalibrating supplier portfolios to balance cost, lead time, and geopolitical risk.
In response, many organizations are diversifying their supplier base and increasing emphasis on nearshoring or regional manufacturing partnerships to mitigate tariff exposure. This shift is complemented by tighter integration between procurement and product engineering teams so that component choices account for both technical suitability and supply chain resilience. Moreover, total cost of ownership analyses now incorporate tariff scenarios and potential duties as part of long-term sourcing decisions.
Operationally, the tariff environment has accelerated adoption of alternatives where feasible, including components that are exempt from certain duties or sourcing strategies that favor local assembly. At the same time, organizations are investing in inventory visibility and dynamic replenishment strategies to avoid stockouts driven by sudden cost or lead-time changes. Collectively, these responses emphasize the need for flexible supply chain architectures that can adapt to regulatory and trade shifts while sustaining deployment momentum.
Actionable segmentation insights highlighting component choices communication technologies industry verticals applications and connectivity selections guiding deployment decisions
Understanding segmentation is essential for designing solutions that align technical choices with business objectives and operational constraints. Based on Component, market analysis distinguishes hardware, services, and software, each of which plays a distinct role: hardware delivers the physical sensing and connectivity, software enables device management and analytics, and services span integration, deployment, and lifecycle support. These layers must be considered together because hardware decisions have implications for software workflows and ongoing service needs.
Based on Communication Technology, the landscape includes 5G, BLE, GPS, LoRaWAN, NB-IoT, and RFID, technologies that differ in range, power consumption, throughput, and network economics. Selecting the appropriate communication technology requires mapping asset mobility, environmental conditions, and expected data volumes to the technical trade-offs of each option. For example, assets requiring global location and higher bandwidth may lean towards cellular options, while static or low-data assets can often leverage LPWAN technologies.
Based on Industry Vertical, distinct requirements emerge across construction & infrastructure, healthcare, logistics & transportation, manufacturing, oil & gas, and retail & e-commerce. Each vertical imposes unique regulatory, environmental, and operational constraints that influence device ruggedization, connectivity redundancy, and data retention policies. For instance, healthcare requires strict controls for data privacy and device certification, while logistics prioritizes geofencing and chain-of-custody features.
Based on Application, solutions are tailored to condition monitoring, fleet management, inventory management, and real-time asset tracking. These applications vary in update frequency, latency tolerance, and analytic complexity, which in turn influence architecture choices and edge versus cloud processing balance. Finally, based on Connectivity Type, the common options of BLE, cellular, LPWAN, and satellite should be evaluated against power budgets, coverage, and roaming needs to ensure the chosen approach supports intended SLAs and cost targets. A cohesive segmentation-aware strategy enables coherent product roadmaps and deployment playbooks that match technical capabilities to business value.
Regional dynamics and strategic considerations across the Americas Europe Middle East & Africa and Asia-Pacific for scalable and resilient asset tracking rollouts
Regional dynamics materially influence deployment strategies, regulatory compliance, and the choice of partners for scaling IoT-based asset tracking initiatives. In the Americas, widespread cellular infrastructure and a mature enterprise services market encourage integrated solutions combining cellular connectivity, cloud analytics, and professional services. This environment favors faster go-to-market cycles for end-to-end providers and emphasizes partnerships that can provide nationwide coverage and regulatory know-how.
In Europe, Middle East & Africa, diverse regulatory frameworks and heterogeneous infrastructure mean that solution architects must prioritize interoperability and modularity. GDPR-style privacy requirements, spectrum policies, and cross-border logistics rules necessitate careful design of data governance, device provisioning, and connectivity selection. As a result, regional partners and local system integrators are often critical for ensuring compliance and efficient deployments.
In Asia-Pacific, deployments are shaped by rapid urbanization, dense logistics corridors, and ambitious national digital programs that support widespread adoption of connected asset initiatives. Here, hybrid connectivity strategies and localized manufacturing capacity are common, enabling low-cost scaling and faster hardware iteration cycles. Across all regions, successful implementations align technical architectures with local supply chain realities and regulatory constraints to create resilient, scalable rollouts.
Competitive landscape and partner ecosystem trends revealing capabilities and strategic moves by leading companies in IoT asset tracking and monitoring solutions
The competitive environment in asset tracking and monitoring blends established industrial players with nimble specialized vendors and a growing set of systems integrators. Leading companies are differentiating through integrated platforms that combine device management, secure connectivity, and analytics tailored to vertical workflows. Many are also enhancing offerings with managed services that reduce buyer friction, provide lifecycle support, and deliver ongoing performance optimization.
Strategic partnerships are a recurring theme, with hardware vendors collaborating with connectivity providers and analytics firms to offer turnkey solutions that address common pain points such as installation complexity and data integration. In addition, channel models continue to evolve as regional integrators and value-added resellers bridge technical capabilities and customer-specific system requirements. Consequently, buyers evaluate vendors not only on product features but also on their ecosystem reach, deployment track record, and ability to provide sustained operational support.
Innovation agendas emphasize interoperability, device security, and lifecycle management. Companies that invest in open APIs, robust device onboarding processes, and transparent security controls tend to win larger enterprise engagements. Moreover, aftermarket services-such as battery replacement programs, device recycling, and firmware management-are increasingly important differentiators that influence long-term customer relationships and vendor selection.
Practical and prioritized recommendations for industry leaders to accelerate adoption mitigate risk and capture operational value from IoT asset tracking initiatives
Industry leaders should adopt a pragmatic, phased approach to maximize value and control risk when deploying asset tracking and monitoring systems. Start by identifying high-impact use cases that deliver clear operational savings or compliance benefits, and use these pilot projects to validate technology choices and integration approaches. Early wins help build internal sponsorship and create repeatable playbooks for scale.
Next, prioritize architectures that support multi-protocol connectivity and modular integration with enterprise systems. This reduces vendor lock-in and allows organizations to match connectivity types to asset classes and geographic constraints as deployments expand. Additionally, establish governance frameworks for data stewardship, security, and device lifecycle management to prevent fragmentation and to ensure consistent performance across deployments.
Finally, invest in supplier diversification and partnerships that bring complementary skills such as systems integration, field services, and analytics expertise. Align procurement, engineering, and operations early to balance total cost, availability, and regulatory considerations. By combining targeted pilots, modular architectures, strong governance, and strategic partnerships, leaders can accelerate adoption while maintaining control over risk and long-term value realization.
Transparent research methodology outlining data sources collection techniques analytical frameworks and validation approaches used to derive insights in this report
The research underpinning this report leverages a blended methodology that combines primary interviews, technical literature review, and comparative analysis of solution capabilities. Primary engagements included structured discussions with procurement leaders, solution architects, and field operations managers to surface operational priorities, deployment constraints, and vendor selection criteria. These primary inputs were complemented by technical reviews of connectivity protocols, device classes, and deployment case studies to ensure the analysis reflects real-world implementation dynamics.
Analytical frameworks focused on mapping use-case requirements to technology trade-offs, assessing supply chain risk factors, and evaluating commercial models that influence adoption. Validation was achieved through triangulation across multiple data sources and iterative review with domain experts to confirm practical relevance. In addition, the methodology emphasized scenario analysis to explore how changes in regulatory or trade environments would affect sourcing choices and deployment timelines.
Transparency, replicability, and practitioner relevance guided the methodological choices. As a result, the insights synthesize qualitative evidence and technical assessment to inform decision-making for procurement, operations, and strategy teams considering or expanding IoT-based asset tracking and monitoring initiatives.
Concluding synthesis of key findings strategic implications and the imperative for informed investment and governance in IoT-based asset tracking initiatives
In closing, the convergence of advanced connectivity, smarter edge processing, and increasingly modular commercial models is transforming how organizations approach asset visibility and condition monitoring. These shifts enable real-time decision-making, reduce operational inefficiencies, and support compliance objectives across multiple industry verticals. However, realizing these benefits at scale requires intentional choices about architecture, supplier strategy, and governance to manage complexity and sustain performance.
Leaders that prioritize clarity of use case, interoperability, and supplier diversity will be best positioned to capture value while mitigating supply chain and regulatory risks. Moreover, integrating asset tracking data into broader enterprise systems and workflows converts isolated telemetry into actionable business intelligence that can improve utilization, reduce downtime, and enhance customer experience. Ultimately, success rests on aligning technology investments with measurable operational outcomes and ensuring that implementation plans are resilient to evolving trade and regulatory environments.
Note: PDF & Excel + Online Access - 1 Year
An incisive overview of IoT-driven asset tracking and monitoring technologies reshaping operational visibility across industries and supply chains globally
The proliferation of connected sensors, edge compute capabilities, and pervasive wireless connectivity has fundamentally redefined how organizations locate, monitor, and manage physical assets. Operational leaders now expect continuous visibility into asset condition, location, and utilization without the delays and manual overhead that characterized legacy processes. As a result, asset tracking and monitoring have evolved from niche projects into enterprise-level capabilities that underpin logistics optimization, maintenance transformation, and regulatory compliance.
This evolution is driven by a convergence of factors: advancements in low-power wide-area networking, affordability of sensor hardware, maturation of cloud platforms, and rising expectations for sustainability and traceability across supply chains. Consequently, organizations are shifting from periodic, manual audits to real-time telemetry and predictive workflows that reduce downtime and improve asset utilization. In addition, integration with enterprise systems such as ERP and maintenance management platforms is making data actionable, enabling automated workflows that convert sensor signals into business outcomes.
Looking forward, the pace of adoption will be influenced by how well vendors and implementers address interoperability, data governance, and the operational burden of device lifecycle management. Strategic implementations will prioritize scalable architectures and clear business cases that align tracking capabilities with measurable KPIs across operations, finance, and compliance functions.
Emerging technological and business model shifts in IoT asset tracking that are accelerating digital transformation and enabling real-time decision making at scale
The landscape for asset tracking and monitoring is experiencing transformative shifts driven by both technology maturation and changing commercial models. Edge computing is becoming more capable, enabling preprocessing of sensor data and reducing latency for high-value real-time decisions. As a result, organizations can execute local automations and condition-based responses without round-trip cloud dependency, which improves resiliency and reduces operational cost pressures.
Simultaneously, communication technologies are diversifying. Cellular options, LPWAN protocols, satellite connectivity, and short-range technologies each play distinct roles depending on asset mobility, geographic coverage, and power budgets. This diversification allows solution architects to tailor connectivity to use-case constraints and cost targets, while hybrid connectivity models are emerging as a best practice for critical assets that migrate across coverage zones.
Business models are also shifting. Outcomes-based and subscription pricing are reducing upfront capital barriers and fostering broader adoption among mid-market enterprises. In parallel, platform consolidation and open APIs are encouraging ecosystems where hardware vendors, connectivity providers, and analytics specialists interoperate to accelerate deployments. Consequently, buyers increasingly prioritize modularity, vendor neutrality, and lifecycle services that reduce integration friction and support rapid scaling.
Assessment of the cumulative effects of United States tariff changes in 2025 on global IoT supply chains hardware sourcing and cross-border deployment strategies
Recent tariff adjustments in the United States have introduced a layer of complexity for global IoT hardware sourcing and logistics planning. Hardware components such as sensors, gateways, and radio modules frequently traverse multiple jurisdictions during manufacturing and assembly, and changes in tariff schedules can affect landed costs, supplier selection, and inventory strategies. Consequently, procurement teams are recalibrating supplier portfolios to balance cost, lead time, and geopolitical risk.
In response, many organizations are diversifying their supplier base and increasing emphasis on nearshoring or regional manufacturing partnerships to mitigate tariff exposure. This shift is complemented by tighter integration between procurement and product engineering teams so that component choices account for both technical suitability and supply chain resilience. Moreover, total cost of ownership analyses now incorporate tariff scenarios and potential duties as part of long-term sourcing decisions.
Operationally, the tariff environment has accelerated adoption of alternatives where feasible, including components that are exempt from certain duties or sourcing strategies that favor local assembly. At the same time, organizations are investing in inventory visibility and dynamic replenishment strategies to avoid stockouts driven by sudden cost or lead-time changes. Collectively, these responses emphasize the need for flexible supply chain architectures that can adapt to regulatory and trade shifts while sustaining deployment momentum.
Actionable segmentation insights highlighting component choices communication technologies industry verticals applications and connectivity selections guiding deployment decisions
Understanding segmentation is essential for designing solutions that align technical choices with business objectives and operational constraints. Based on Component, market analysis distinguishes hardware, services, and software, each of which plays a distinct role: hardware delivers the physical sensing and connectivity, software enables device management and analytics, and services span integration, deployment, and lifecycle support. These layers must be considered together because hardware decisions have implications for software workflows and ongoing service needs.
Based on Communication Technology, the landscape includes 5G, BLE, GPS, LoRaWAN, NB-IoT, and RFID, technologies that differ in range, power consumption, throughput, and network economics. Selecting the appropriate communication technology requires mapping asset mobility, environmental conditions, and expected data volumes to the technical trade-offs of each option. For example, assets requiring global location and higher bandwidth may lean towards cellular options, while static or low-data assets can often leverage LPWAN technologies.
Based on Industry Vertical, distinct requirements emerge across construction & infrastructure, healthcare, logistics & transportation, manufacturing, oil & gas, and retail & e-commerce. Each vertical imposes unique regulatory, environmental, and operational constraints that influence device ruggedization, connectivity redundancy, and data retention policies. For instance, healthcare requires strict controls for data privacy and device certification, while logistics prioritizes geofencing and chain-of-custody features.
Based on Application, solutions are tailored to condition monitoring, fleet management, inventory management, and real-time asset tracking. These applications vary in update frequency, latency tolerance, and analytic complexity, which in turn influence architecture choices and edge versus cloud processing balance. Finally, based on Connectivity Type, the common options of BLE, cellular, LPWAN, and satellite should be evaluated against power budgets, coverage, and roaming needs to ensure the chosen approach supports intended SLAs and cost targets. A cohesive segmentation-aware strategy enables coherent product roadmaps and deployment playbooks that match technical capabilities to business value.
Regional dynamics and strategic considerations across the Americas Europe Middle East & Africa and Asia-Pacific for scalable and resilient asset tracking rollouts
Regional dynamics materially influence deployment strategies, regulatory compliance, and the choice of partners for scaling IoT-based asset tracking initiatives. In the Americas, widespread cellular infrastructure and a mature enterprise services market encourage integrated solutions combining cellular connectivity, cloud analytics, and professional services. This environment favors faster go-to-market cycles for end-to-end providers and emphasizes partnerships that can provide nationwide coverage and regulatory know-how.
In Europe, Middle East & Africa, diverse regulatory frameworks and heterogeneous infrastructure mean that solution architects must prioritize interoperability and modularity. GDPR-style privacy requirements, spectrum policies, and cross-border logistics rules necessitate careful design of data governance, device provisioning, and connectivity selection. As a result, regional partners and local system integrators are often critical for ensuring compliance and efficient deployments.
In Asia-Pacific, deployments are shaped by rapid urbanization, dense logistics corridors, and ambitious national digital programs that support widespread adoption of connected asset initiatives. Here, hybrid connectivity strategies and localized manufacturing capacity are common, enabling low-cost scaling and faster hardware iteration cycles. Across all regions, successful implementations align technical architectures with local supply chain realities and regulatory constraints to create resilient, scalable rollouts.
Competitive landscape and partner ecosystem trends revealing capabilities and strategic moves by leading companies in IoT asset tracking and monitoring solutions
The competitive environment in asset tracking and monitoring blends established industrial players with nimble specialized vendors and a growing set of systems integrators. Leading companies are differentiating through integrated platforms that combine device management, secure connectivity, and analytics tailored to vertical workflows. Many are also enhancing offerings with managed services that reduce buyer friction, provide lifecycle support, and deliver ongoing performance optimization.
Strategic partnerships are a recurring theme, with hardware vendors collaborating with connectivity providers and analytics firms to offer turnkey solutions that address common pain points such as installation complexity and data integration. In addition, channel models continue to evolve as regional integrators and value-added resellers bridge technical capabilities and customer-specific system requirements. Consequently, buyers evaluate vendors not only on product features but also on their ecosystem reach, deployment track record, and ability to provide sustained operational support.
Innovation agendas emphasize interoperability, device security, and lifecycle management. Companies that invest in open APIs, robust device onboarding processes, and transparent security controls tend to win larger enterprise engagements. Moreover, aftermarket services-such as battery replacement programs, device recycling, and firmware management-are increasingly important differentiators that influence long-term customer relationships and vendor selection.
Practical and prioritized recommendations for industry leaders to accelerate adoption mitigate risk and capture operational value from IoT asset tracking initiatives
Industry leaders should adopt a pragmatic, phased approach to maximize value and control risk when deploying asset tracking and monitoring systems. Start by identifying high-impact use cases that deliver clear operational savings or compliance benefits, and use these pilot projects to validate technology choices and integration approaches. Early wins help build internal sponsorship and create repeatable playbooks for scale.
Next, prioritize architectures that support multi-protocol connectivity and modular integration with enterprise systems. This reduces vendor lock-in and allows organizations to match connectivity types to asset classes and geographic constraints as deployments expand. Additionally, establish governance frameworks for data stewardship, security, and device lifecycle management to prevent fragmentation and to ensure consistent performance across deployments.
Finally, invest in supplier diversification and partnerships that bring complementary skills such as systems integration, field services, and analytics expertise. Align procurement, engineering, and operations early to balance total cost, availability, and regulatory considerations. By combining targeted pilots, modular architectures, strong governance, and strategic partnerships, leaders can accelerate adoption while maintaining control over risk and long-term value realization.
Transparent research methodology outlining data sources collection techniques analytical frameworks and validation approaches used to derive insights in this report
The research underpinning this report leverages a blended methodology that combines primary interviews, technical literature review, and comparative analysis of solution capabilities. Primary engagements included structured discussions with procurement leaders, solution architects, and field operations managers to surface operational priorities, deployment constraints, and vendor selection criteria. These primary inputs were complemented by technical reviews of connectivity protocols, device classes, and deployment case studies to ensure the analysis reflects real-world implementation dynamics.
Analytical frameworks focused on mapping use-case requirements to technology trade-offs, assessing supply chain risk factors, and evaluating commercial models that influence adoption. Validation was achieved through triangulation across multiple data sources and iterative review with domain experts to confirm practical relevance. In addition, the methodology emphasized scenario analysis to explore how changes in regulatory or trade environments would affect sourcing choices and deployment timelines.
Transparency, replicability, and practitioner relevance guided the methodological choices. As a result, the insights synthesize qualitative evidence and technical assessment to inform decision-making for procurement, operations, and strategy teams considering or expanding IoT-based asset tracking and monitoring initiatives.
Concluding synthesis of key findings strategic implications and the imperative for informed investment and governance in IoT-based asset tracking initiatives
In closing, the convergence of advanced connectivity, smarter edge processing, and increasingly modular commercial models is transforming how organizations approach asset visibility and condition monitoring. These shifts enable real-time decision-making, reduce operational inefficiencies, and support compliance objectives across multiple industry verticals. However, realizing these benefits at scale requires intentional choices about architecture, supplier strategy, and governance to manage complexity and sustain performance.
Leaders that prioritize clarity of use case, interoperability, and supplier diversity will be best positioned to capture value while mitigating supply chain and regulatory risks. Moreover, integrating asset tracking data into broader enterprise systems and workflows converts isolated telemetry into actionable business intelligence that can improve utilization, reduce downtime, and enhance customer experience. Ultimately, success rests on aligning technology investments with measurable operational outcomes and ensuring that implementation plans are resilient to evolving trade and regulatory environments.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
186 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-driven predictive analytics for real-time IoT asset management
- 5.2. Adoption of low-power wide-area networks for battery-efficient asset tracking across remote areas
- 5.3. Implementation of blockchain-based secure data logging to enhance asset traceability and security
- 5.4. Shift towards edge computing in IoT trackers to reduce latency and bandwidth dependence
- 5.5. Utilization of digital twin models for comprehensive monitoring and simulation of tracked assets
- 5.6. Deployment of 5G connectivity to support high-density asset tracking in industrial environments
- 5.7. Development of cross-platform IoT ecosystems for seamless integration of multi-vendor asset sensors
- 5.8. Increasing demand for environment-resistant IoT tags for monitoring assets in extreme conditions
- 5.9. Emergence of AI-powered anomaly detection to trigger automated maintenance alerts for tracked equipment
- 5.10. Growing emphasis on energy harvesting technologies to power IoT asset trackers indefinitely
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. IoT based Asset Tracking & Monitoring Market, by Component
- 8.1. Hardware
- 8.2. Services
- 8.3. Software
- 9. IoT based Asset Tracking & Monitoring Market, by Communication Technology
- 9.1. 5G
- 9.2. BLE
- 9.3. GPS
- 9.4. LoRaWAN
- 9.5. NB-IoT
- 9.6. RFID
- 10. IoT based Asset Tracking & Monitoring Market, by Connectivity Type
- 10.1. BLE
- 10.2. Cellular
- 10.3. LPWAN
- 10.4. Satellite
- 11. IoT based Asset Tracking & Monitoring Market, by Application
- 11.1. Condition Monitoring
- 11.2. Fleet Management
- 11.3. Inventory Management
- 11.4. Real-Time Asset Tracking
- 12. IoT based Asset Tracking & Monitoring Market, by End User
- 12.1. Construction & Infrastructure
- 12.2. Healthcare
- 12.3. Logistics & Transportation
- 12.4. Manufacturing
- 12.5. Oil & Gas
- 12.6. Retail & E-commerce
- 13. IoT based Asset Tracking & Monitoring 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. IoT based Asset Tracking & Monitoring Market, by Group
- 14.1. ASEAN
- 14.2. GCC
- 14.3. European Union
- 14.4. BRICS
- 14.5. G7
- 14.6. NATO
- 15. IoT based Asset Tracking & Monitoring 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. Analog Devices, Inc.
- 16.3.3. Biz4Intellia Inc.
- 16.3.4. Comarch SA
- 16.3.5. Datacake GmbH
- 16.3.6. Fibocom Wireless Inc.
- 16.3.7. Hilti Corporation
- 16.3.8. Huawei Technologies Co., Ltd.
- 16.3.9. Link Labs
- 16.3.10. MeiG Smart Technology Co., Ltd.
- 16.3.11. Neoway Technology Co. Ltd.
- 16.3.12. Nordic Semiconductor
- 16.3.13. Omnitracs, LLC
- 16.3.14. Particle Industries, Inc.
- 16.3.15. Quectel Wireless Solutions Co., Ltd.
- 16.3.16. Radiant RFID, LLC
- 16.3.17. Samsara Inc.
- 16.3.18. Semtech Corporation
- 16.3.19. SmartMakers GmbH
- 16.3.20. Sony Semiconductor Solutions Corporation
- 16.3.21. Tata Communications
- 16.3.22. TEKTELIC Communications Inc.
- 16.3.23. Telit Corporate Group
- 16.3.24. Thales Group
- 16.3.25. u-blox AG
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