Internet of Things Managed Services Market by Service Type (Application Management, Connectivity, Data Analytics & Visualization), Connectivity Technology (Cellular, Ethernet, LPWAN), Deployment Model, Organization Size, Application, End-User Industry - G
Description
The Internet of Things Managed Services Market was valued at USD 10.46 billion in 2024 and is projected to grow to USD 11.44 billion in 2025, with a CAGR of 11.19%, reaching USD 24.45 billion by 2032.
A clear framing of why managed IoT services have moved from experimental pilots to enterprise-grade operational enablers that demand integrated expertise and outcome orientation
The Internet of Things has evolved from an experimental overlay to a core operational capability across industries, reshaping how organizations design, operate, and secure connected assets. Managed services have emerged as a pivotal delivery model, aggregating specialized capabilities-ranging from device management and connectivity orchestration to advanced analytics and security operations-into scalable offerings that reduce complexity for buyers. As enterprises pursue outcomes such as operational resilience, predictive maintenance, and remote operations, they increasingly prefer outsourced or co-managed arrangements that combine vendor expertise with in-house domain knowledge.
This transition places new demands on service providers to demonstrate not only technical proficiency but also the ability to integrate with enterprise systems, meet regulatory requirements, and deliver measurable business outcomes. Consequently, stakeholders across the technology and industrial stack are refining their go-to-market approaches to emphasize interoperability, standards alignment, and managed service orchestration. In the weeks and months ahead, decision-makers must weigh vendor capabilities against evolving requirements for latency, security, and data governance while balancing total cost of ownership with speed-to-value.
How advances in edge computing, security by design, and flexible commercial models are driving a fundamental reconfiguration of IoT managed services and supplier strategies
Fundamental shifts are reshaping how IoT managed services are designed, procured, and operated, creating strategic inflection points for both providers and buyers. Advances in edge computing and more capable end-point silicon are enabling localized analytics, which in turn reduce backhaul bandwidth requirements and accelerate decision cycles. At the same time, a stronger focus on cybersecurity and privacy by design has elevated security management from a checkbox to an architectural imperative, compelling managed service providers to embed threat detection, patch orchestration, and identity management within core offerings.
Concurrently, the commoditization of connectivity technologies and the proliferation of low-power wide-area networks have broadened the addressable use cases, allowing IoT managed service portfolios to expand beyond traditional telemetry into domains such as smart metering and asset tracking at scale. Commercial models are also evolving, shifting from fixed-term contracts to more flexible, outcomes-based arrangements that align provider incentives with business performance. As a result, buyers are demanding clearer service level objectives, transparent data handling, and demonstrable integration pathways with enterprise resource planning and operational technology systems. These transformative trends are forcing vendors to rethink product architectures, partnerships, and commercialization strategies to remain competitive and relevant.
The broader supply chain and procurement ramifications of tariff-induced component shifts that compel regional sourcing, contract adaptability, and resilience planning in IoT initiatives
Tariff policies adopted in recent trade cycles have introduced new variables into the procurement and supply chain calculus for IoT managed services, particularly as hardware components and gateway devices traverse global manufacturing networks. Increased duties on certain electronic components and finished devices have motivated buyers to reassess sourcing strategies, favoring regionalized supply chains or alternative component substitutions to mitigate cost exposure and delivery risk. As procurement teams respond, product roadmaps and procurement timelines are adjusting to account for lead-time and compliance complexity, giving rise to more rigorous supplier qualification processes and multi-sourcing arrangements.
Beyond direct cost implications, tariff-induced shifts are accelerating strategic decisions about where to locate manufacturing and assembly for critical IoT hardware to maintain service-level continuity in key markets. This has implications for certifications, local regulatory compliance, and logistics planning, which must be integrated into managed service agreements and operational playbooks. At the same time, organizations are increasingly factoring geopolitical risk and tariff volatility into vendor scorecards and contingency planning, instituting clauses that address supply interruptions and change control. The net effect is a more deliberate approach to hardware procurement and contract design, with emphasis on resilience, transparency, and enforceable performance commitments.
Integrated segmentation insights that align service portfolios, application demands, vertical needs, connectivity choices, deployment models, and organizational scale into strategic go-to-market priorities
A granular segmentation lens reveals how demand drivers and service expectations differ across the primary vectors of the IoT managed services domain. Service portfolios must reconcile application management priorities with connectivity orchestration, data analytics and visualization, device management, and security management to create cohesive, multi-disciplinary offerings. Across application areas, expectations diverge depending on whether solutions target asset tracking, fleet management, predictive maintenance, remote monitoring, or smart metering, each demanding different data cadences, reliability profiles, and integration footprints.
Industry verticals further differentiate requirements: energy and utilities emphasize regulatory compliance and meter accuracy; healthcare prioritizes data privacy and clinical integration; manufacturing focuses on uptime and real-time predictive maintenance workflows; retail seeks inventory visibility and customer experience enhancement; and transportation and logistics require geo-spatial fidelity and route optimization. Connectivity technology choices such as cellular, Ethernet, LPWAN, satellite, and Wi‑Fi influence both architecture and cost structures, while deployment models spanning hybrid cloud, on-premises, private cloud, and public cloud determine where data processing, storage, and control loops reside. Organization size also matters, with large enterprises often demanding bespoke integration and governance frameworks while small and medium enterprises typically prioritize turnkey, cost-effective managed services. Taken together, these segmentation perspectives illuminate where providers should specialize, how to package services, and which integration capabilities will unlock the most commercial value.
How regional demand patterns across the Americas, Europe Middle East & Africa, and Asia-Pacific drive differentiated service designs, compliance imperatives, and partnership strategies
Regional dynamics are shaping demand patterns, operational models, and partnership ecosystems across the Americas, Europe, Middle East & Africa, and Asia-Pacific, each presenting distinct strategic considerations for managed service providers. In the Americas, demand is driven by large-scale deployments in transportation, logistics, and industrial automation, with buyers emphasizing scalability and cloud-native integrations. Across Europe, the Middle East & Africa, regulatory harmonization, energy transition initiatives, and industrial digitalization programs are shaping buyer priorities, pushing providers to demonstrate compliance, sustainability credentials, and robust data governance.
Asia-Pacific exhibits a heterogeneous landscape where manufacturing modernization and smart city initiatives drive significant adoption, yet market maturity varies widely, requiring flexible deployment models and localized partnerships. Providers entering these regions must adapt commercial terms, localization strategies, and service delivery models to regional infrastructure realities and customer expectations. Moreover, cross-border interoperability, roaming for connected assets, and localized compliance introduce operational complexity that should be addressed through modular architectures, local partnerships, and clear data residency approaches. Understanding these nuances is critical for aligning investment, channel strategies, and deployment roadmaps with regional demand dynamics.
Competitive and capability patterns among vendors that emphasize integrated solutions, verticalized expertise, and partnership-based expansion across the managed IoT services ecosystem
Leading companies in the managed IoT services domain are blending technology depth with industry-specific delivery expertise, building partnerships across connectivity providers, platform vendors, and systems integrators to deliver end-to-end solutions. Successful vendors are demonstrating strength in areas such as secure device onboarding, scalable device management, integrated connectivity orchestration, and embedded analytics that convert telemetry into actionable insights. Many are differentiating through domain certifications, compliance frameworks, and verticalized templates that accelerate deployments in sectors like energy, healthcare, and manufacturing.
At the same time, the competitive landscape includes agile niche players that provide specialized capabilities-such as LPWAN connectivity orchestration or advanced edge analytics-that incumbents integrate through partnerships or acquisitions. Buyers increasingly evaluate vendors on metrics beyond technical capability, including service level transparency, data handling practices, and the ability to co-create customized analytics models. Consequently, strong go-to-market execution now requires a balanced combination of product modularity, robust professional services, and channel enablement to align provider capabilities with diverse buyer procurement models and operational constraints.
Practical executive actions to build modular offerings, align commercial incentives with outcomes, and harden supply chains to accelerate adoption and reduce operational risk
Industry leaders should pursue a three-pronged action plan that emphasizes architectural robustness, commercial flexibility, and operational transparency to capture value in managed IoT services. First, invest in modular architectures that enable composable delivery of application management, connectivity orchestration, data analytics, device lifecycle capabilities, and built-in security management so that offerings can be tailored to asset-critical use cases while maintaining economies of scale. Second, adopt commercial models that align incentives with client outcomes, offering flexible consumption structures and clear service level objectives that reduce buyer friction and accelerate procurement cycles.
Third, fortify supply chain resilience by diversifying component sourcing and establishing contingency clauses in contracts to address tariff or logistics disruptions; this will help ensure continuity for deployments that depend on gateways and specialized hardware. Additionally, prioritize partnerships that close capability gaps-particularly in connectivity and edge analytics-while building internal competencies in data governance, regulatory compliance, and cross-domain integration. Finally, scale professional services and deployment playbooks to bridge the last-mile integration challenges that commonly delay time-to-value, enabling faster realization of operational benefits for end customers.
A rigorous mixed-methods research framework combining practitioner interviews, technical synthesis, and structured segmentation to validate operational and strategic insights
This research adopted a mixed-methods approach to generate insights that combine qualitative expert interviews, primary stakeholder engagement, and secondary source synthesis. Industry practitioners, operations leaders, and technology providers were engaged to validate thematic trends, use case priorities, and supplier capability dimensions. The methodology emphasized triangulation: vendor disclosures and technical white papers were cross-referenced with practitioner feedback and regulatory analysis to ensure balanced interpretation of technology capabilities and operational requirements.
Secondary analysis included review of public standards, regulatory guidance, and technology roadmaps to ground the findings in verifiable technical and policy contexts. The research team applied a structured segmentation framework to evaluate how service type, application area, end-user verticals, connectivity technology, deployment model, and organization size shape requirements and vendor selection criteria. Throughout the process, findings were iteratively validated with subject matter experts to refine practical recommendations and ensure the analysis reflects real-world deployment challenges and strategic trade-offs.
A strategic synthesis that emphasizes modular delivery, governance transparency, and coordinated procurement as prerequisites for scalable and resilient IoT operations
Managed services are central to unlocking the operational potential of connected systems, but realizing that potential requires disciplined attention to architecture, procurement, and regional nuance. Providers that can deliver modular, secure platforms coupled with strong professional services will be best positioned to bridge the gap between pilot projects and scaled production deployments. Buyers should insist on transparency in service level commitments, data governance practices, and contingency planning to safeguard continuity and regulatory compliance.
Looking ahead, the intersection of edge compute capabilities, flexible connectivity options, and heightened security expectations will continue to drive product and commercial innovation. Organizations that proactively align vendor selection, sourcing strategies, and integration roadmaps with these structural shifts will capture outsized value from their IoT investments. In short, success depends on treating managed IoT services not as a commodity procurement but as a strategic program that integrates technology, process, and partnerships to deliver measurable operational outcomes.
Note: PDF & Excel + Online Access - 1 Year
A clear framing of why managed IoT services have moved from experimental pilots to enterprise-grade operational enablers that demand integrated expertise and outcome orientation
The Internet of Things has evolved from an experimental overlay to a core operational capability across industries, reshaping how organizations design, operate, and secure connected assets. Managed services have emerged as a pivotal delivery model, aggregating specialized capabilities-ranging from device management and connectivity orchestration to advanced analytics and security operations-into scalable offerings that reduce complexity for buyers. As enterprises pursue outcomes such as operational resilience, predictive maintenance, and remote operations, they increasingly prefer outsourced or co-managed arrangements that combine vendor expertise with in-house domain knowledge.
This transition places new demands on service providers to demonstrate not only technical proficiency but also the ability to integrate with enterprise systems, meet regulatory requirements, and deliver measurable business outcomes. Consequently, stakeholders across the technology and industrial stack are refining their go-to-market approaches to emphasize interoperability, standards alignment, and managed service orchestration. In the weeks and months ahead, decision-makers must weigh vendor capabilities against evolving requirements for latency, security, and data governance while balancing total cost of ownership with speed-to-value.
How advances in edge computing, security by design, and flexible commercial models are driving a fundamental reconfiguration of IoT managed services and supplier strategies
Fundamental shifts are reshaping how IoT managed services are designed, procured, and operated, creating strategic inflection points for both providers and buyers. Advances in edge computing and more capable end-point silicon are enabling localized analytics, which in turn reduce backhaul bandwidth requirements and accelerate decision cycles. At the same time, a stronger focus on cybersecurity and privacy by design has elevated security management from a checkbox to an architectural imperative, compelling managed service providers to embed threat detection, patch orchestration, and identity management within core offerings.
Concurrently, the commoditization of connectivity technologies and the proliferation of low-power wide-area networks have broadened the addressable use cases, allowing IoT managed service portfolios to expand beyond traditional telemetry into domains such as smart metering and asset tracking at scale. Commercial models are also evolving, shifting from fixed-term contracts to more flexible, outcomes-based arrangements that align provider incentives with business performance. As a result, buyers are demanding clearer service level objectives, transparent data handling, and demonstrable integration pathways with enterprise resource planning and operational technology systems. These transformative trends are forcing vendors to rethink product architectures, partnerships, and commercialization strategies to remain competitive and relevant.
The broader supply chain and procurement ramifications of tariff-induced component shifts that compel regional sourcing, contract adaptability, and resilience planning in IoT initiatives
Tariff policies adopted in recent trade cycles have introduced new variables into the procurement and supply chain calculus for IoT managed services, particularly as hardware components and gateway devices traverse global manufacturing networks. Increased duties on certain electronic components and finished devices have motivated buyers to reassess sourcing strategies, favoring regionalized supply chains or alternative component substitutions to mitigate cost exposure and delivery risk. As procurement teams respond, product roadmaps and procurement timelines are adjusting to account for lead-time and compliance complexity, giving rise to more rigorous supplier qualification processes and multi-sourcing arrangements.
Beyond direct cost implications, tariff-induced shifts are accelerating strategic decisions about where to locate manufacturing and assembly for critical IoT hardware to maintain service-level continuity in key markets. This has implications for certifications, local regulatory compliance, and logistics planning, which must be integrated into managed service agreements and operational playbooks. At the same time, organizations are increasingly factoring geopolitical risk and tariff volatility into vendor scorecards and contingency planning, instituting clauses that address supply interruptions and change control. The net effect is a more deliberate approach to hardware procurement and contract design, with emphasis on resilience, transparency, and enforceable performance commitments.
Integrated segmentation insights that align service portfolios, application demands, vertical needs, connectivity choices, deployment models, and organizational scale into strategic go-to-market priorities
A granular segmentation lens reveals how demand drivers and service expectations differ across the primary vectors of the IoT managed services domain. Service portfolios must reconcile application management priorities with connectivity orchestration, data analytics and visualization, device management, and security management to create cohesive, multi-disciplinary offerings. Across application areas, expectations diverge depending on whether solutions target asset tracking, fleet management, predictive maintenance, remote monitoring, or smart metering, each demanding different data cadences, reliability profiles, and integration footprints.
Industry verticals further differentiate requirements: energy and utilities emphasize regulatory compliance and meter accuracy; healthcare prioritizes data privacy and clinical integration; manufacturing focuses on uptime and real-time predictive maintenance workflows; retail seeks inventory visibility and customer experience enhancement; and transportation and logistics require geo-spatial fidelity and route optimization. Connectivity technology choices such as cellular, Ethernet, LPWAN, satellite, and Wi‑Fi influence both architecture and cost structures, while deployment models spanning hybrid cloud, on-premises, private cloud, and public cloud determine where data processing, storage, and control loops reside. Organization size also matters, with large enterprises often demanding bespoke integration and governance frameworks while small and medium enterprises typically prioritize turnkey, cost-effective managed services. Taken together, these segmentation perspectives illuminate where providers should specialize, how to package services, and which integration capabilities will unlock the most commercial value.
How regional demand patterns across the Americas, Europe Middle East & Africa, and Asia-Pacific drive differentiated service designs, compliance imperatives, and partnership strategies
Regional dynamics are shaping demand patterns, operational models, and partnership ecosystems across the Americas, Europe, Middle East & Africa, and Asia-Pacific, each presenting distinct strategic considerations for managed service providers. In the Americas, demand is driven by large-scale deployments in transportation, logistics, and industrial automation, with buyers emphasizing scalability and cloud-native integrations. Across Europe, the Middle East & Africa, regulatory harmonization, energy transition initiatives, and industrial digitalization programs are shaping buyer priorities, pushing providers to demonstrate compliance, sustainability credentials, and robust data governance.
Asia-Pacific exhibits a heterogeneous landscape where manufacturing modernization and smart city initiatives drive significant adoption, yet market maturity varies widely, requiring flexible deployment models and localized partnerships. Providers entering these regions must adapt commercial terms, localization strategies, and service delivery models to regional infrastructure realities and customer expectations. Moreover, cross-border interoperability, roaming for connected assets, and localized compliance introduce operational complexity that should be addressed through modular architectures, local partnerships, and clear data residency approaches. Understanding these nuances is critical for aligning investment, channel strategies, and deployment roadmaps with regional demand dynamics.
Competitive and capability patterns among vendors that emphasize integrated solutions, verticalized expertise, and partnership-based expansion across the managed IoT services ecosystem
Leading companies in the managed IoT services domain are blending technology depth with industry-specific delivery expertise, building partnerships across connectivity providers, platform vendors, and systems integrators to deliver end-to-end solutions. Successful vendors are demonstrating strength in areas such as secure device onboarding, scalable device management, integrated connectivity orchestration, and embedded analytics that convert telemetry into actionable insights. Many are differentiating through domain certifications, compliance frameworks, and verticalized templates that accelerate deployments in sectors like energy, healthcare, and manufacturing.
At the same time, the competitive landscape includes agile niche players that provide specialized capabilities-such as LPWAN connectivity orchestration or advanced edge analytics-that incumbents integrate through partnerships or acquisitions. Buyers increasingly evaluate vendors on metrics beyond technical capability, including service level transparency, data handling practices, and the ability to co-create customized analytics models. Consequently, strong go-to-market execution now requires a balanced combination of product modularity, robust professional services, and channel enablement to align provider capabilities with diverse buyer procurement models and operational constraints.
Practical executive actions to build modular offerings, align commercial incentives with outcomes, and harden supply chains to accelerate adoption and reduce operational risk
Industry leaders should pursue a three-pronged action plan that emphasizes architectural robustness, commercial flexibility, and operational transparency to capture value in managed IoT services. First, invest in modular architectures that enable composable delivery of application management, connectivity orchestration, data analytics, device lifecycle capabilities, and built-in security management so that offerings can be tailored to asset-critical use cases while maintaining economies of scale. Second, adopt commercial models that align incentives with client outcomes, offering flexible consumption structures and clear service level objectives that reduce buyer friction and accelerate procurement cycles.
Third, fortify supply chain resilience by diversifying component sourcing and establishing contingency clauses in contracts to address tariff or logistics disruptions; this will help ensure continuity for deployments that depend on gateways and specialized hardware. Additionally, prioritize partnerships that close capability gaps-particularly in connectivity and edge analytics-while building internal competencies in data governance, regulatory compliance, and cross-domain integration. Finally, scale professional services and deployment playbooks to bridge the last-mile integration challenges that commonly delay time-to-value, enabling faster realization of operational benefits for end customers.
A rigorous mixed-methods research framework combining practitioner interviews, technical synthesis, and structured segmentation to validate operational and strategic insights
This research adopted a mixed-methods approach to generate insights that combine qualitative expert interviews, primary stakeholder engagement, and secondary source synthesis. Industry practitioners, operations leaders, and technology providers were engaged to validate thematic trends, use case priorities, and supplier capability dimensions. The methodology emphasized triangulation: vendor disclosures and technical white papers were cross-referenced with practitioner feedback and regulatory analysis to ensure balanced interpretation of technology capabilities and operational requirements.
Secondary analysis included review of public standards, regulatory guidance, and technology roadmaps to ground the findings in verifiable technical and policy contexts. The research team applied a structured segmentation framework to evaluate how service type, application area, end-user verticals, connectivity technology, deployment model, and organization size shape requirements and vendor selection criteria. Throughout the process, findings were iteratively validated with subject matter experts to refine practical recommendations and ensure the analysis reflects real-world deployment challenges and strategic trade-offs.
A strategic synthesis that emphasizes modular delivery, governance transparency, and coordinated procurement as prerequisites for scalable and resilient IoT operations
Managed services are central to unlocking the operational potential of connected systems, but realizing that potential requires disciplined attention to architecture, procurement, and regional nuance. Providers that can deliver modular, secure platforms coupled with strong professional services will be best positioned to bridge the gap between pilot projects and scaled production deployments. Buyers should insist on transparency in service level commitments, data governance practices, and contingency planning to safeguard continuity and regulatory compliance.
Looking ahead, the intersection of edge compute capabilities, flexible connectivity options, and heightened security expectations will continue to drive product and commercial innovation. Organizations that proactively align vendor selection, sourcing strategies, and integration roadmaps with these structural shifts will capture outsized value from their IoT investments. In short, success depends on treating managed IoT services not as a commodity procurement but as a strategic program that integrates technology, process, and partnerships to deliver measurable operational outcomes.
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. Adoption of edge computing platforms to enhance real-time IoT data processing and analytics
- 5.2. Integration of artificial intelligence modules for predictive maintenance in industrial IoT environments
- 5.3. Deployment of secure 5G connectivity solutions to support high bandwidth IoT device networks
- 5.4. Proliferation of digital twins for comprehensive simulation and management of IoT asset performance
- 5.5. Implementation of blockchain ledgers to ensure scalable and tamper proof IoT data integrity
- 5.6. Utilization of low code and no code platforms for rapid IoT application development and deployment
- 5.7. Emphasis on zero trust security frameworks for continuous protection across distributed IoT systems
- 5.8. Expansion of managed services supporting interoperable multivendor IoT device ecosystems at scale
- 5.9. Growth of subscription based operational models for scalable IoT device monitoring and lifecycle management
- 5.10. Focus on environmental sustainability metrics through advanced IoT sensor data analytics solutions
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Internet of Things Managed Services Market, by Service Type
- 8.1. Application Management
- 8.2. Connectivity
- 8.3. Data Analytics & Visualization
- 8.4. Device Management
- 8.5. Security Management
- 9. Internet of Things Managed Services Market, by Connectivity Technology
- 9.1. Cellular
- 9.2. Ethernet
- 9.3. LPWAN
- 9.4. Satellite
- 9.5. Wi-Fi
- 10. Internet of Things Managed Services Market, by Deployment Model
- 10.1. Hybrid Cloud
- 10.2. On-Premises
- 10.3. Private Cloud
- 10.4. Public Cloud
- 11. Internet of Things Managed Services Market, by Organization Size
- 11.1. Large Enterprises
- 11.2. Small & Medium Enterprises
- 12. Internet of Things Managed Services Market, by Application
- 12.1. Asset Tracking
- 12.2. Fleet Management
- 12.3. Predictive Maintenance
- 12.4. Remote Monitoring
- 12.5. Smart Metering
- 13. Internet of Things Managed Services Market, by End-User Industry
- 13.1. Energy & Utilities
- 13.2. Healthcare
- 13.3. Manufacturing
- 13.4. Retail
- 13.5. Transportation & Logistics
- 14. Internet of Things Managed Services Market, by Region
- 14.1. Americas
- 14.1.1. North America
- 14.1.2. Latin America
- 14.2. Europe, Middle East & Africa
- 14.2.1. Europe
- 14.2.2. Middle East
- 14.2.3. Africa
- 14.3. Asia-Pacific
- 15. Internet of Things Managed Services Market, by Group
- 15.1. ASEAN
- 15.2. GCC
- 15.3. European Union
- 15.4. BRICS
- 15.5. G7
- 15.6. NATO
- 16. Internet of Things Managed Services Market, by Country
- 16.1. United States
- 16.2. Canada
- 16.3. Mexico
- 16.4. Brazil
- 16.5. United Kingdom
- 16.6. Germany
- 16.7. France
- 16.8. Russia
- 16.9. Italy
- 16.10. Spain
- 16.11. China
- 16.12. India
- 16.13. Japan
- 16.14. Australia
- 16.15. South Korea
- 17. Competitive Landscape
- 17.1. Market Share Analysis, 2024
- 17.2. FPNV Positioning Matrix, 2024
- 17.3. Competitive Analysis
- 17.3.1. Accenture plc
- 17.3.2. Advantech Co., Ltd.
- 17.3.3. Alphabet Inc.
- 17.3.4. Amazon Web Services, Inc.
- 17.3.5. Arm Limited
- 17.3.6. AT&T Inc.
- 17.3.7. Capgemini SE
- 17.3.8. Cisco Systems, Inc.
- 17.3.9. General Electric Company
- 17.3.10. Hewlett Packard Enterprise Company
- 17.3.11. Huawei Technologies Co., Ltd.
- 17.3.12. International Business Machines Corporation
- 17.3.13. KORE Wireless Group, Inc.
- 17.3.14. Microsoft Corporation
- 17.3.15. Oracle Corporation
- 17.3.16. Orange S.A.
- 17.3.17. PTC Inc.
- 17.3.18. Robert Bosch GmbH
- 17.3.19. Samsara Inc.
- 17.3.20. Software AG
- 17.3.21. Verizon Communications Inc.
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