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Manufacturing EngineeringTop 10 Best IoT Development Services of 2026
Ranked top 10 iot development services for device, cloud, and security delivery, with enterprise-focused notes on Globant, Cognizant, and Infosys.
How we ranked these tools
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Framework: Features 40% · Ease 30% · Value 30%
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Globant is the best pick for enterprises that need coordinated IoT delivery across devices, telemetry, and operations at production scale, while Softeq is the stronger alternative fit when you want end-to-end connected solutions with tight device-to-cloud automation and API integration.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Globant
Engineering-to-deployment workflow that ties device onboarding and telemetry interfaces to operational release processes.
Best for: Fits when enterprises need coordinated IoT delivery across device, telemetry, and operations for production-scale rollouts.
Cognizant
Editor pickProgram execution combines fleet onboarding, monitoring workflows, and security lifecycle engineering into one delivery track.
Best for: Fits when enterprise teams need hybrid IoT implementation plus governance-aligned security engineering.
Infosys
Editor pickSecurity lifecycle delivery that ties device identity, provisioning controls, and runtime operations into a single implementation workflow.
Best for: Fits when enterprises need secure IoT programs with hybrid integration and operational governance.
Comparison Table
Globant
enterprise_vendorDigital transformation company with IoT engineering and smart product services.
Engineering-to-deployment workflow that ties device onboarding and telemetry interfaces to operational release processes.
Globant’s IoT delivery typically spans connected device development, backend services, and deployment integration so telemetry does not stay isolated in pilots. Engagements often include gateway or protocol bridging work, message handling, and environment setup needed to scale from device onboarding to production fleet operations. For enterprise teams, the strongest fit appears when multiple systems must coordinate through defined interfaces and repeatable release processes.
A tradeoff shows up when an organization expects a single turnkey IoT platform with minimal engineering effort. Globant’s value is highest when the team can provide domain requirements and accept ongoing integration work across device, backend, and operations. Best fit situations include bringing existing industrial sensors or custom devices into a controlled telemetry pipeline and operational workflow that supports ongoing fleet changes.
- +End-to-end IoT engineering covers device firmware and backend integration
- +Clear interface work for telemetry ingestion and operational workflows
- +Multi-team delivery structure supports repeatable fleet rollout execution
- +Enterprise system integration experience reduces coupling between stacks
- –Less suitable for teams wanting a minimal-effort platform-only implementation
- –Success depends on strong internal inputs for device and operational requirements
- –Heavier process alignment is needed for complex governance expectations
- –Protocol and gateway bridging effort can grow with device diversity
Industrial engineering teams
Migrate sensor fleet into unified telemetry
Fewer integration handoffs
Enterprise IT architects
Integrate IoT with existing enterprise systems
Lower system coupling
Show 2 more scenarios
Operations and reliability teams
Support fleet maintenance and device updates
Faster fleet recovery
Globant links release workflows to device-side update handling and monitoring signals.
Security engineering teams
Harden device identity and lifecycle operations
More controlled access
Globant coordinates secure provisioning and lifecycle flows across device and backend components.
Best for: Fits when enterprises need coordinated IoT delivery across device, telemetry, and operations for production-scale rollouts.
Cognizant
enterprise_vendorGlobal IT services company offering IoT consulting, engineering, and managed services.
Program execution combines fleet onboarding, monitoring workflows, and security lifecycle engineering into one delivery track.
Cognizant fits teams that already have an IoT reference architecture in place and need implementation capacity for hybrid deployments that mix on-prem and cloud components. Delivery work commonly covers device connectivity, message routing, and operational controls for fleet behaviors, including configuration and update orchestration. Integration depth is strongest when the program includes system integration work across existing enterprise platforms, not just greenfield device messaging. Governance is handled through role-based access and audit-oriented operational practices designed to support regulated device operations.
A tradeoff is that Cognizant works best when enterprise stakeholders can provide clear acceptance criteria for telemetry semantics, device lifecycle states, and security requirements. One common usage situation is a connected industrial rollout where field devices must keep reliable device-to-cloud connectivity while IT controls must meet audit expectations. In that scenario, the delivery model helps align edge and cloud responsibilities so operations teams can run onboarding, monitoring, and remediation consistently.
- +Hybrid delivery experience across on-prem integration and cloud IoT services
- +Security engineering support for certificate-based device identity and update workflows
- +Clear operational controls for fleet management and audit-ready execution
- +Extensibility through integration work across existing enterprise systems
- –Requires strong client-side definition for device lifecycle and telemetry acceptance
- –Governance and integration scope can increase project coordination overhead
- –Deep IoT architecture work may need additional internal engineering leadership
- –Edge-only deployments without cloud integration can feel under-optimized
Industrial operations teams
Deploy monitored fleets with controlled updates
Lower downtime during rollouts
Enterprise security engineers
Implement certificate-based device identity
Consistent identity across fleets
Show 2 more scenarios
Platform integration teams
Bridge telemetry into existing systems
Faster integration to operations
Cognizant builds telemetry pipelines that map event payloads into enterprise APIs and monitoring tools.
Connected product engineering
Onboard gateways and validate interoperability
More predictable field connectivity
Engineering supports gateway messaging integration and interoperability testing needed for heterogeneous device mixes.
Best for: Fits when enterprise teams need hybrid IoT implementation plus governance-aligned security engineering.
Infosys
enterprise_vendorGlobal consulting and IT services firm with IoT engineering and operations services.
Security lifecycle delivery that ties device identity, provisioning controls, and runtime operations into a single implementation workflow.
Infosys can deliver IoT reference architecture implementations that span device-side integration, gateway-based routing, and cloud IoT services for device-to-cloud telemetry. Engagements typically emphasize integration breadth, including connectivity adapters, message ingestion, and downstream system wiring through documented APIs. Security delivery is handled as a lifecycle effort, covering device identity, operational key handling, and hardening steps across provisioning and runtime operations.
A key tradeoff is that enterprise governance and integration work can add project overhead when teams only need a narrow telemetry demo. Infosys is a better fit when a program needs hybrid deployment planning across on-prem and cloud systems, with consistent operational controls for multiple device models and manufacturing batches.
- +Enterprise engineering for device onboarding and fleet operations integration
- +API-first wiring between telemetry pipelines and enterprise systems
- +Security lifecycle focus tied to provisioning and runtime operations
- +Hybrid deployment delivery support across on-prem and cloud environments
- –Higher delivery overhead for narrow proof-of-concept scopes
- –Requires strong input on device specs and operational policies
- –Edge and gateway work depends on site architecture choices
- –Integration sequencing can slow early timeline if dependencies are unclear
Industrial engineering teams
Hybrid fleet telemetry with secure onboarding
Consistent fleet visibility
Enterprise platform teams
API integration for telemetry consumers
Lower integration friction
Show 2 more scenarios
Security and compliance teams
Certificate-based device identity lifecycle
Reduced security exposure
Delivery practices connect provisioning steps to identity handling for operational hardening.
Manufacturing operations teams
Scaled provisioning across device variants
Faster rollout at scale
Engineering supports onboarding workflows that handle device model differences at scale.
Best for: Fits when enterprises need secure IoT programs with hybrid integration and operational governance.
Softeq
specialistIoT hardware and software development company offering end-to-end connected solutions.
Provisioning and lifecycle automation engineered as an API-driven workflow across device identity, updates, and fleet operations.
Softeq is a device-to-cloud and edge-to-cloud IoT development services partner that focuses on end-to-end delivery for industrial and connected products. Its teams tend to cover gateway and embedded work, then connect telemetry and device events into cloud services with automation for provisioning, updates, and fleet operations.
- +End-to-end delivery from embedded gateways to cloud telemetry pipelines
- +Automation focus across provisioning, updates, and fleet-style operations workflows
- +Security engineering aligned to certificate-based device identity patterns
- +API-oriented integration work for connecting device, platform, and ops systems
- –Enterprise governance work adds delivery overhead for small programs
- –Requires clear device interfaces and telemetry contracts before build-out
- –Edge and cloud split architecture can increase integration testing effort
- –Operational tooling breadth depends on the chosen target cloud and stack
Best for: Fits when enterprise teams need coordinated device, cloud, and security implementation with automation and API integration.
EPAM Systems
enterprise_vendorGlobal product engineering firm with IoT software development and platform services.
Automation-led fleet rollout engineering that standardizes provisioning, device identity handling, and operational runbooks across releases.
EPAM Systems delivers end-to-end IoT engineering that spans device software, cloud IoT services integration, and operational security for fleet deployments. Its delivery model emphasizes integration depth across heterogeneous stacks, including edge runtime patterns, telemetry pipelines, and enterprise system connectivity.
- +Engineering breadth across device, edge, and cloud layers for IoT programs
- +Automation focus for provisioning workflows and fleet rollout repeatability
- +Enterprise integration delivery across identity, telemetry, and operations tooling
- +Strong API and systems engineering practices for multi-vendor device ecosystems
- –Requires disciplined system design to avoid fragmentation across device teams
- –Governance and rollout automation add program overhead for smaller fleets
- –Edge architecture outcomes depend on upfront constraints and runtime decisions
- –Schema governance and telemetry consistency need early alignment with client teams
Best for: Fits when enterprise teams need coordinated device-to-cloud delivery and security lifecycle governance.
Altexsoft
specialistTechnology consulting and engineering company with IoT software development services.
Provisioning and lifecycle automation delivered as an integrated workflow tied to device identity management and operational rollouts.
Altexsoft delivers IoT development for enterprise teams that need custom device-to-cloud integrations and production-grade engineering across device, backend, and security workstreams. The company supports end-to-end workflows such as device onboarding, telemetry pipeline implementation, and operational fleet tooling for monitoring and lifecycle changes.
- +Production delivery across device, backend services, and security tasks
- +API-first integration work for telemetry ingestion and device management workflows
- +Automation support for controlled provisioning and operational rollout processes
- +Engineering artifacts that fit enterprise governance and audit expectations
- –Heavier implementation lift versus vendor-native managed IoT stacks
- –Best results require strong internal product ownership for requirements stability
- –Gateway and field connectivity patterns need explicit architecture alignment
- –Complex protocol and legacy device support can extend integration timelines
Best for: Fits when enterprise teams need custom IoT delivery with strong integration control across devices, cloud services, and security.
Accenture
enterprise_vendorGlobal professional services firm with a dedicated IoT practice across industries.
Security and operations governance embedded into IoT delivery, including identity lifecycle controls and audit-friendly operational procedures.
Accenture frequently structures IoT work around enterprise program delivery, which supports coordinated integration across device teams, cloud teams, and OT or industrial stakeholders.
- +Enterprise-grade integration delivery across cloud, edge, and industrial systems
- +Governance and security lifecycle planning for device identity and operations
- +Strong automation orientation for deployment workflows and operational runbooks
- +Extensibility support for multi-tenant and multi-site IoT architectures
- –Heavier delivery engagement model than teams needing quick, narrow builds
- –Requires defined platform boundaries between device, gateway, and cloud responsibilities
- –Specialized security controls can add dependency on program-wide governance processes
- –Direct developer tooling depth varies by engagement and requires skilled stakeholder alignment
Best for: Fits when enterprises need end-to-end IoT integration with security governance and controlled handoff to operations.
Capgemini
enterprise_vendorMultinational IT services firm with IoT engineering and platform integration capabilities.
Program delivery governance that ties device provisioning, security controls, and fleet operations into one accountable execution workflow.
Capgemini delivers IoT development through enterprise delivery programs that connect device, cloud, and security workstreams under one execution model. The company’s consulting-to-engineering approach supports end-to-end telemetry pipeline design, fleet management workflows, and secure device identity integration.
- +End-to-end delivery model covering device, cloud, and security engineering
- +Strong integration work for telemetry pipeline and fleet operations
- +Governance-focused approach with auditability for regulated IoT programs
- +Extensive enterprise capability for hybrid deployments and system integration
- –Implementation can be process-heavy for teams needing rapid prototypes
- –Requires clear device and identity ownership to avoid integration delays
- –Edge computing efforts may depend on partner or internal platform choices
- –Automation depth varies by client architecture and target cloud components
Best for: Fits when enterprise teams need coordinated device-to-cloud delivery with governance and long-term operations.
Leverege
specialistIoT solutions provider delivering connected product platforms and managed services.
Production fleet rollout support built around an explicit device provisioning and update workflow plan.
Leverege delivers IoT development work that focuses on device integration, telemetry pipelines, and production-grade delivery workflows. The most distinctive aspect is the ability to cover end to end device-to-cloud build tasks without splitting responsibilities across multiple vendors.
- +End to end delivery from device interfaces through cloud ingestion
- +Repeatable fleet workflows for provisioning and operational changes
- +Clear integration boundaries between device, services, and security steps
- +Practical automation for deployment tasks across multiple environments
- –Requires early alignment on device protocols and expected telemetry shapes
- –Limited public detail on long term fleet analytics and dashboards
- –Tight timelines can reduce iteration cycles for hardware bring up
- –May depend on client supplied infrastructure for on premises patterns
Best for: Fits when enterprise teams need managed integration across device, cloud ingestion, and security delivery.
eInfochips
specialistIoT and embedded engineering services provider serving industrial and consumer markets.
Fleet-focused engineering that combines device provisioning and lifecycle automation with production-ready OTA rollout paths.
eInfochips delivers end-to-end IoT development that spans device software, gateway integration, and cloud-facing telemetry plumbing for industrial and enterprise deployments. Delivery depth is strongest when hardware teams need firmware work plus application integration into existing MQTT or REST-based back ends.
- +End-to-end delivery from firmware through cloud integration and fleet rollout
- +Strong handling of certificate-based device identity and provisioning workflows
- +Practical OTA planning for firmware updates across heterogeneous device models
- +Experience integrating gateway-based architectures with device-to-cloud messaging
- –Tight integration requires early definition of telemetry pipeline and interfaces
- –Governance controls like RBAC and audit logs depend on chosen platform scope
- –Edge computing designs can add integration overhead for small teams
- –Long-running fleet operations require clear change-management ownership
Best for: Fits when enterprise teams need managed IoT engineering across firmware, gateway, and cloud integration.
Conclusion
After evaluating 10 iot development, Globant stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Iot Development
IoT development programs turn device onboarding, telemetry ingestion, and operational release practices into one coordinated engineering workflow, and this guide frames those capabilities through Globant, Cognizant, and Infosys among the top services. The included providers also cover automation-heavy provisioning and lifecycle execution with Softeq and EPAM Systems, plus integration-and-governance delivery models from Accenture and Capgemini.
For procurement teams, the practical differences show up in how providers wire device identity and update workflows into backend integration, how they operationalize fleet rollout, and how they keep security engineering aligned with provisioning controls across hybrid IoT deployments.
IoT Development that connects device onboarding, telemetry pipelines, and fleet security operations
IoT development is the end-to-end engineering work that connects device provisioning, secure identity handling, and operational rollout procedures to telemetry pipelines and cloud or on-prem IoT services. Globant emphasizes an engineering-to-deployment workflow that ties device onboarding and telemetry interfaces to operational release processes, which is built for production-scale coordination.
Cognizant and Infosys both focus on delivery tracks that bind fleet onboarding and monitoring workflows to security lifecycle engineering, including certificate-based device identity and update workflows. Softeq and EPAM Systems extend that same lifecycle automation theme with API-driven provisioning and fleet rollout repeatability, which changes how quickly provisioning contracts and governance controls can be standardized across releases.
IoT Development capabilities that determine delivery outcomes
IoT development succeeds when device onboarding, telemetry ingestion, and operational rollout move through the same engineering workflow rather than separate project silos. That workflow quality shows up in how providers connect provisioning and identity controls to backend interfaces and release operations for fleet-scale deployments.
Engineering-to-deployment workflow coverage
Globant ties device onboarding and telemetry interfaces directly to operational release processes so the rollout plan stays coupled to integration work. EPAM Systems focuses on automation-led fleet rollout engineering that standardizes provisioning, device identity handling, and operational runbooks across releases.
Provisioning and lifecycle automation via API-driven execution
Softeq implements provisioning and lifecycle automation as an API-driven workflow spanning device identity, updates, and fleet operations. Altexsoft delivers provisioning and lifecycle automation as an integrated workflow tied to device identity management and operational rollouts.
Security lifecycle engineering integrated with operational governance
Infosys packages security lifecycle delivery that ties device identity, provisioning controls, and runtime operations into one implementation workflow. Accenture embeds security and operations governance into IoT delivery with identity lifecycle controls and audit-friendly operational procedures.
Hybrid delivery across on-prem integration and cloud IoT operations
Cognizant combines fleet onboarding, monitoring workflows, and security lifecycle engineering into one delivery track across hybrid IoT implementation. Capgemini provides an end-to-end delivery model covering device, cloud, and security engineering with coordinated fleet operations integration.
Fleet rollout repeatability for provisioning and operational changes
Leverege supports production fleet rollout with an explicit device provisioning and update workflow plan that repeats across operational changes. eInfochips combines certificate-based device identity and provisioning with production-ready OTA rollout paths and fleet rollout execution.
How to choose an IoT Development service for device-to-cloud delivery
The decision should start with how the provider keeps device onboarding, telemetry interfaces, and security lifecycle controls synchronized through deployment operations. Then it should branch into integration surface depth versus automation workflow standardization based on the organization’s internal platform boundaries and delivery governance model.
Map delivery ownership across device, backend telemetry, and release operations
If coordinated engineering from onboarding through operational releases is required, Globant aligns device onboarding and telemetry interfaces to operational release processes. If the program expects standard runbooks and repeated rollout mechanics across releases, EPAM Systems centers automation-led fleet rollout engineering that keeps identity handling and operational procedures consistent.
Choose between API-driven provisioning automation versus heavier governance orchestration
If device identity, updates, and fleet operations need provisioning and lifecycle automation expressed as API-driven workflows, Softeq and Altexsoft are built around automation and integration control. If governance-heavy execution and controlled handoff to operations matter more than minimizing delivery overhead, Accenture and Capgemini place security lifecycle governance inside the delivery model.
Decide whether hybrid integration is the primary delivery constraint
For hybrid IoT implementation that includes on-prem integration alongside cloud IoT services, Cognizant connects fleet onboarding, monitoring workflows, and security lifecycle engineering into a single execution track. For coordinated device-to-cloud delivery with long-term operational accountability, Capgemini ties device provisioning, security controls, and fleet operations into one accountable execution workflow.
Select for security lifecycle depth tied to provisioning controls and runtime operations
For security lifecycle delivery that explicitly connects device identity, provisioning controls, and runtime operations, Infosys structures the implementation workflow around those linkages. For security and operations governance with identity lifecycle controls and audit-friendly operational procedures, Accenture embeds governance inside IoT delivery so identity and operation stay aligned.
Validate readiness for fleet rollout standardization and early telemetry contract definition
If repeatable fleet workflows for provisioning and operational changes are required, Leverege is positioned around an explicit provisioning and update workflow plan. If early definition of telemetry pipeline interfaces is available and certificate-based device identity must be handled during OTA rollout paths, eInfochips combines production-ready OTA rollout execution with provisioning and lifecycle automation.
Who should buy IoT Development services from these providers
Procurement teams should match provider delivery design to the organization’s release orchestration model and identity governance expectations. Enterprises that treat provisioning, telemetry ingestion, and security lifecycle operations as one execution workflow will extract the most value from providers designed for end-to-end coordination.
Enterprises running production-scale IoT rollouts across device onboarding, telemetry ingestion, and operational release
Globant is built to tie device onboarding and telemetry interfaces to operational release processes. EPAM Systems supports automation-led fleet rollout engineering that standardizes provisioning and operational runbooks across releases.
Organizations needing hybrid IoT implementation that combines on-prem integration with cloud IoT services and governance-aligned security engineering
Cognizant delivers fleet onboarding and monitoring workflows together with security lifecycle engineering for hybrid IoT programs. Cognizant also emphasizes certificate-based device identity and update workflow support inside the same delivery track.
Enterprises prioritizing security lifecycle engineering that connects identity, provisioning controls, and runtime operations
Infosys structures security lifecycle delivery around device identity, provisioning controls, and runtime operations. Accenture adds governance into the delivery workflow with identity lifecycle controls and audit-friendly operational procedures.
Programs requiring provisioning and lifecycle automation that is standardized through API-driven workflows
Softeq builds provisioning and lifecycle automation as an API-driven workflow covering device identity, updates, and fleet operations. Altexsoft provides provisioning and lifecycle automation as an integrated workflow linked to device identity management and operational rollouts.
Common pitfalls in IoT Development procurement
IoT projects fail when the organization purchases engineering capabilities without also defining how device identity, telemetry acceptance, and operational release steps will be owned and validated. Another frequent failure mode is under-scoping governance and operational handoff, which causes rollout work to stall when device and backend interfaces do not agree.
Treating provisioning and telemetry interface work as independent workstreams
Globant and EPAM Systems both connect onboarding and telemetry interfaces to rollout or runbooks. Buying teams that separate these efforts often create integration drift that blocks fleet-scale releases.
Underestimating the governance and coordination overhead required for security lifecycle plus hybrid integration
Cognizant and Capgemini can expand project coordination overhead when governance and integration scope grows. Procurement teams that expect low-coordination delivery often hit schedule risk during device lifecycle and telemetry acceptance alignment.
Starting with narrow proof-of-concept scope without budgeting for secure lifecycle delivery overhead
Infosys signals higher delivery overhead for narrow proof-of-concept scopes because security lifecycle delivery ties device identity, provisioning controls, and runtime operations together. Programs that reduce early scope usually reduce the value of integrated security and operational execution.
Assuming governance controls like RBAC and audit logs are included without specifying the platform scope
eInfochips indicates that governance controls such as RBAC and audit logs depend on the chosen platform scope. Procurement teams should align platform boundaries so governance requirements do not get deferred into later integration phases.
How We Selected and Ranked These Providers
We evaluated Globant, Cognizant, Infosys, Softeq, EPAM Systems, Altexsoft, Accenture, Capgemini, Leverege, and eInfochips using feature coverage at 40%, delivery ease at 30%, and value at 30%. Feature coverage prioritized how each provider ties device onboarding or provisioning workflows to telemetry ingestion and operational rollout practices.
Delivery ease emphasized how consistently the provider can execute when device specs, telemetry contracts, and device lifecycle definitions are supplied by the client. Value weighed coordination overhead signals from delivery constraints, and Globant stood out for an engineering-to-deployment workflow that ties device onboarding and telemetry interfaces to operational release processes.
Frequently Asked Questions About Iot Development
How should device-to-cloud integration and API contracts be handled to prevent telemetry from stalling after a pilot?
Which providers tend to support hybrid IoT deployments that split responsibilities across on-prem and cloud?
When is gateway-based architecture a requirement instead of direct device-to-cloud messaging?
How does device provisioning work when certificate-based identity must be managed across fleets?
What security lifecycle steps should be built into the IoT delivery workflow, not added later?
Where does each provider’s admin controls and RBAC coverage show up during fleet operations?
What breaks if telemetry data models and semantic expectations are not aligned across device and backend teams?
How do teams handle over-the-air firmware update workflows without creating operational risk during rollout waves?
Which tradeoff matters when an organization expects a single turnkey platform with minimal engineering effort?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
- AI In IndustryTop 10 Best IoT Application Development Services of 2026
- Digital Transformation In IndustryTop 10 Best AWS IoT Core Development Services of 2026
- Data Science AnalyticsTop 10 Best IoT Data Services of 2026
- AI In IndustryTop 10 Best Iot Development Software of 2026
- Manufacturing EngineeringTop 10 Best Engineering Services Software of 2026
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