Unlocking R&D Tax Relief in Smart Connected Products & Industrial IoT

Smart connected products and Industrial IoT systems are rarely built through straightforward implementation alone. In the UK, companies operating in this space are often trying to solve difficult technical problems around device security, interoperability, connectivity, latency, scalability and lifecycle resilience. Where that work seeks an advance in science or technology and the solution to uncertainty is not readily deducible by a competent professional, it may fall within the scope of UK R&D tax relief. HMRC’s guidance remains centred on that principle: qualifying R&D involves projects that seek an advance in science or technology through resolving scientific or technological uncertainty. For accounting periods beginning on or after 1 April 2024, claims generally sit within the merged RDEC scheme or, where relevant, Enhanced R&D Intensive Support.

Why innovation in connected products and Industrial IoT matters

This is now one of the UK’s most commercially important technology areas. Recent government-commissioned research shows that “Enterprise IoT” is being framed as a practical market category to support future policy and market analysis, reflecting how widely connected devices, sensors, gateways and intelligent endpoints are being deployed across business environments.

The challenge is that these products do not live in controlled lab environments. They are deployed across factories, buildings, infrastructure, transport systems, utilities and field operations, where devices must work reliably over long periods, communicate across mixed networks, and remain secure under evolving threat conditions. At the same time, UK regulation has become more demanding. The Product Security and Telecommunications Infrastructure regime requires relevant consumer connectable products to meet baseline security obligations, and official guidance for manufacturers, importers and distributors was updated again on 17 March 2025.

That means the innovation challenge is not just building a connected device that functions. It is building one that functions securely, interoperates reliably, scales in the field, and continues to operate within technical and regulatory constraints.

Where technological uncertainty typically arises

In Smart Connected Products & Industrial IoT, uncertainty often appears at the interfaces between hardware, firmware, communications infrastructure and data platforms.

A business may know the commercial objective, such as reliable remote monitoring, deterministic industrial control, secure device onboarding, real-time edge decisioning or resilient fleet-wide updates, but not whether that outcome can feasibly be achieved within the limits of available bandwidth, power, protocol compatibility, compute footprint and security overhead.

Cyber-security research on converging technologies highlights exactly these issues. In the IoT and edge context, published analysis points to device and protocol compatibility, data heterogeneity, latency and power consumption as core technical challenges, with further risks arising from security vulnerabilities and the complexity of standardisation across diverse hardware and software platforms.

That is often where qualifying R&D begins: not with a vague ambition to “digitise”, but with a specific technical problem that cannot be solved by routine configuration.

Typical qualifying R&D challenges

Achieving reliable connectivity in real-world deployment conditions

Connected products frequently need to maintain stable communications across mixed environments, not idealised ones. In practice, deployments may depend on combinations of cellular, Wi-Fi, Bluetooth, LPWAN or private-network infrastructure, often with varying coverage quality and intermittent failure modes.

This creates uncertainty where businesses need to determine whether a product can reliably maintain service levels, fail over intelligently, or recover without data loss under real operating conditions. Research into connected devices and IoT-enabled environments continues to treat networks for data transmission as core system components, alongside the sensors and actuators themselves.

Typical qualifying work can include development of adaptive communications logic, multi-network routing strategies, custom edge buffering behaviour, or novel device-level resilience mechanisms where standard connectivity approaches do not achieve the required reliability.

Interoperability between heterogeneous devices and platforms

Industrial IoT environments rarely consist of a single vendor stack. They involve a mix of devices, control systems, communications standards and software platforms that were not necessarily designed to work together.

This is one of the clearest recurring areas of technological uncertainty. Research into Industrial IoT architectures identifies interoperability as a major challenge because Industry 4.0 environments rely on heterogeneous devices, technologies and standards, and because meaningful communication between systems from different vendors is difficult to achieve in practice.

Qualifying R&D may therefore arise where a company must create protocol translation layers, custom gateways, abstraction frameworks or device orchestration logic to enable reliable exchange of data and commands across otherwise incompatible systems.

Security by design in connected and operational environments

Security is now a foundational technical requirement in this market, not an optional add-on. UK guidance under the PSTI regime imposes product-security obligations on relevant connectable products, while wider cyber-security work by government continues to highlight the increased attack surface created by the convergence of IoT, edge computing and operational environments.

For many businesses, the uncertainty is not whether security matters, but how to implement it without undermining usability, performance or maintainability. Secure boot, key provisioning, device authentication, encrypted communications, vulnerability reporting flows, and secure update mechanisms can all introduce substantial design trade-offs, especially on constrained hardware.

This kind of work may qualify where the technical route to achieving the required level of security, performance and operational reliability was not readily deducible at the outset.

Low latency and deterministic system behaviour

Industrial settings often require faster and more predictable response than conventional cloud-centric architectures can offer. Industrial IoT literature identifies latency, reliability, scalability, security and privacy as core requirements, and notes that latency problems become critical where large data volumes and real-time decision-making are involved.

That is why many businesses in this area explore edge or fog architectures. Yet moving compute closer to the device introduces its own uncertainties: how much processing should remain local, what should be sent upstream, and how can latency targets be achieved without exhausting power or compute budgets?

Typical qualifying work includes development of time-sensitive architectures, deterministic edge processing pipelines, prioritised data-handling strategies or hybrid edge-cloud allocation models where off-the-shelf approaches could not meet the required timing profile.

Scaling fleets and managing massive data flows

As deployments grow from prototype to production, the system challenge changes. What works for 50 devices may not work for 50,000. Industrial IoT research continues to identify scalability as a core technical challenge because of the exponential growth in devices, networks and data volumes.

Companies often face uncertainty around how to provision resources, partition data, manage device states, maintain performance and avoid service degradation at scale. This can involve substantial R&D in fleet orchestration, edge aggregation, compression, event prioritisation, and fault-tolerant architecture design.

Where the route to scalable performance is unclear and requires iterative experimentation, the work may fall within R&D tax relief criteria.

Firmware lifecycle, long-term support and secure updates

Connected products are frequently expected to remain operational in the field for years, sometimes in harsh or safety-sensitive environments. That creates technical uncertainty around how to patch, upgrade and maintain them without compromising device integrity or service continuity.

In practice, firmware lifecycle management becomes an engineering problem in its own right. Secure OTA updates, rollback protection, staged release mechanisms, backwards compatibility and long-life support for ageing hardware can all require systematic development and testing.

This is particularly relevant in regulated connected-product environments, where the security and support posture of the product is increasingly part of the product itself.

What kinds of Smart Connected Products & Industrial IoT projects may qualify?

Qualifying projects in this domain often include work such as:

• developing connected devices that must maintain reliable service across variable network conditions
• integrating mixed fleets of sensors, gateways and industrial systems using incompatible protocols
• building secure onboarding, authentication and device-management frameworks for constrained hardware
• creating low-latency edge-processing architectures for real-time industrial or operational use cases
• resolving fleet-scaling issues linked to data throughput, orchestration and performance degradation
• developing secure firmware update mechanisms for long-lived connected products
• engineering around legacy operational technology environments where modern security controls cannot be applied directly
• creating resilient connected-product architectures that must balance power consumption, connectivity and security simultaneously

The common thread is that the work goes beyond straightforward software development, hardware assembly or cloud integration. It involves trying to resolve a genuine technological problem where the answer was not already available and the final technical outcome could not be inferred in advance, even by experts. The statutory position remains that only projects seeking an advance in science or technology through the resolution of scientific or technological uncertainty qualify.

Why R&D tax relief is relevant

Building connected products and Industrial IoT systems can be technically demanding and expensive. Costs often arise across embedded engineering, firmware development, communications testing, device security, prototyping, integration, edge infrastructure and long-cycle validation in live or simulated environments.

For companies in this market, R&D tax relief can therefore support continued development where technical ambition is high but the route to delivery is uncertain. That is particularly important in a UK environment where security expectations are rising, enterprise IoT is becoming more defined as a policy and market domain, and the convergence of IT, OT, edge and device systems is creating new layers of technical risk and opportunity

Could your IoT or connected-product development qualify?

If your business is designing connected devices, industrial monitoring systems, smart equipment, edge-enabled products or operational IoT platforms, there is a strong possibility that some of your work may involve qualifying R&D.

This is especially true where your engineers had to solve non-trivial problems around device interoperability, field reliability, fleet-scale performance, low-latency operation, secure device management or long-term supportability.

The strongest claims are usually built around a clear technical narrative: what advance was sought, what uncertainties arose, why the solution was not readily deducible, and what development work was undertaken to resolve those issues.

How we help

We work with innovative technology businesses to identify qualifying R&D activity and translate technically complex development into robust, compliant R&D tax relief claims. For Smart Connected Products & Industrial IoT companies, that means understanding the real engineering challenges behind connected-device architecture, firmware design, security implementation, edge deployment and system integration.

Where businesses are going beyond routine implementation and resolving genuine technological uncertainty, R&D tax relief can provide meaningful support for continued innovation.

(E) enquiries@advaloremgroup.uk (T) 01908 219100 (W) advaloremgroup.uk

Written by Panos Farantatos – Senior Technologist

Panos is an ex-CERN R&D Fellow and a 2026 Global MBA candidate from Imperial College London with a 5-year Dipl.Ing. in Electrical & Computer Engineering. Panos has led cutting-edge R&D projects as an R&D Engineer since 2010, specialising in Integrated Systems, Systems Engineering and Project Engineering Lifecycle Management in the domains of Electromagnetics, Electromechanical Manufacturing, Industry 4.0 and Smart Sensing.  

Since 2019, he has been consulting with SMEs and Large Companies on securing government-endorsed innovation funding with emphasis on R&D Tax Relief, helping clients claim over £24M of tax benefits. 

While Panos is sector agnostic, some main domains he has focused on over the years are Software/Fintech/Blockchain, Manufacturing, Agricultural Science, Construction, Automotive Engineering, Electronics/Embedded Systems, Biomedical Engineering, Waste Management, and Architecture.