The embedded hardware dilemma: How to make the right platform choice
With growing complexity in embedded system development, engineers face new challenges. The vast variety of available modules and components makes platform selection more difficult. The key question is how to choose a hardware platform that best fits the specific technical, business, and environmental requirements of the application. According to a 2024 Embedded Market Study by AspenCore, 72% of embedded developers cite hardware platform management and platform selection as one of the most critical early decisions in a project lifecycle.
There is no one-size-fits-all solution. What works well for an industrial controller may be entirely unsuitable for a battery-powered IoT device. It may also not fit an interactive HMI system with multimedia capabilities. In this article, we explore the key criteria for selecting a hardware platform. We also highlight important details and explain how to approach this decision strategically and practically. This encompasses considering market realities and project constraints. Many of the trade-offs and challenges are best illustrated through real-world use cases and engineering practice.
High availability systems matter – types of hardware platforms
Selecting a hardware platform is always a trade-off between performance, cost, energy efficiency, and scalability in each case . Microcontrollers (MCUs), such as those from the Renesas RA, or NXP LPC families, are ideal where deterministic response times, low power consumption, and integrated peripherals are critical — typically in edge devices, sensors, measurement systems, or motor controllers. These systems can be precisely configured for minimal energy usage.
Application processors (MPUs), such as NXP’s i.MX or Texas Instruments’ Sitara series, serve different needs. They are better suited for high-availability systems and projects requiring a full Linux OS. They support encryption, high-speed interfaces such as Ethernet, USB, and PCIe. They are designed for handling large data sets or graphics processing tasks. MPUs are also ideal for effective storage management. Common use cases include HMI systems, gateways, and embedded vision platforms.
FPGAs (e.g., Xilinx Zynq, Intel Cyclone) offer maximum flexibility at the hardware level, allowing custom protocol implementation, real-time signal processing, parallel computation, and enhanced connection capabilities. SoCs, especially those combining CPUs and FPGAs (like the Zynq-7000 series), enable hybrid designs that merge general-purpose processing with reconfigurable logic. Ideal for edge AI, Industry 4.0, or high-performance real-time systems.
More about FPGA you can read here:
What is Field-Programmable Gate Array (FPGA) and why is it used in hardware?
Finally, development boards such as Raspberry Pi, Arduino, or BeagleBone are often used in early-stage prototyping or proof-of-concept work, especially for installation demos. However, commercial deployment typically requires a migration to a custom hardware platform tailored to environmental, certification, and public infrastructure requirements.
If you want to learn more about hardware design and engineering, check this out:
How Hardware Design and Engineering Service Shape Product Evolution
Hardware platform management aspect: Key criteria for selecting a hardware platform
In practice, selecting a hardware platform requires analyzing a complex set of interdependencies. What key aspects should engineers consider when making such a decision?
Let’s take a look at the following practical reference points. These are commonly used by experienced embedded system designers when making hardware-layer decisions. They are the very factors kept in mind from day one of system architecture planning:
- Functional and Performance Requirements:
- Identify core system tasks: data processing, user interaction, communication, security.
- Translate functionality into system resources: CPU clock speed, DMA availability, accelerators (crypto, AI, graphics), cache size, bus architecture (AXI, AHB).
- Example: If your device runs AI inference and handles TLS communication, a Cortex-M4 MCU will likely bottleneck the system — you need an SoC or heterogeneous architecture.
- Power Consumption:
- Consider not only TDP, but also power management capabilities: deep sleep modes, wake-up latency, dynamic frequency/voltage scaling.
- In battery-powered systems, choosing between STM32U5 and i.MX RT can mean weeks of difference in battery life.
- Development and Production Costs:
- Look beyond the Bill of Materials (BOM) — integration time, availability of certified libraries (e.g. ISO 26262, IEC 61508), and BSP maturity all affect total project cost.
- Example: A well-supported MCU with stable HAL might save weeks compared to a cheaper SoC with poor documentation and fragmented SDKs.
- Operating System Support:
- Bare-metal, RTOS, or full Linux — this choice affects firmware architecture, OTA capabilities, security model, and time-to-market.
- Not all platforms support stable mainline Linux; always check upstream kernel compatibility.
- Communication Interfaces and I/O:
- Consider not just interface types (CAN, USB, MIPI, Ethernet), but also quantity, operational modes (e.g., USB dual-role), pin multiplexing, and driver support.
- Avoid external bridges where possible — they increase BOM, layout complexity, and EMC risk.
- Scalability and Availability:
- Prefer platform families with long-term roadmaps and multiple performance tiers (e.g., STM32F4 → STM32H7 or NXP i.MX 6 → i.MX 8).
- Check supply chain status (lead time, MOQ, EOL risk), and ensure LTS support is available from the vendor.
Evaluation of the development environment
The efficiency of an engineering team largely depends on the context of maturity of the development environment provided by the hardware platform vendor. According to Umer Farooq, CTO at MRS Technologies: “Embedded System Engineering is not just about writing code; it is more about understanding the entire hardware ecosystem, the physical limitations, and how software orchestrates the hardware’s operation.” In practice, this means access to a stable and well-integrated toolchain. This includes an IDE, compilers, and debuggers. It also involves support for standard communication protocol stacks. Equally important is the consistency and usability of the available HAL or SDK. This contains relevant code examples and documentation. If commonly required functions like USB CDC, MQTT, or TLS are not officially supported, development becomes harder. Such limitations can make development cycles significantly longer and more error-prone.
Documentation quality is equally critical. This involves not only reference manuals but also code examples, peripheral architecture descriptions, configuration flows, and backup debugging guides. In complex systems, good documentation makes a big difference. The ability to quickly trace protocol stack behavior or integrate third-party middleware depends heavily on well-structured and up-to-date reference material.
Finally, a strong developer community is extremely valuable. Active forums, widely followed technical blogs, GitHub repositories, and official support channels often prove more helpful than formal documentation alone. Platforms with active ecosystems enable faster problem-solving. They allow teams to leverage proven solutions, reducing both risk and time-to-market.
InTechHouse’s benefits package: From hardware to embedded systems, all under one roof
Before choosing a platform, ask yourself this question to decide: Will this choice help my team build something that works faster, and can be maintained for years? If the answer is “yes,” you’re on the right track. The best test of a hardware decision isn’t in benchmarks or datasheets. It’s in real-world implementation: peripheral communication, OS integration, boot stability, and the quality of the documentation.
Whether you’re building a device from scratch, optimizing an existing solution, or need support in software development, InTechHouse is the partner that can guide your project end to end. Our teams specialize not only in designing reliable hardware but also in developing modern embedded systems, control applications, and cloud integrations. We combine expertise in electronics, low-level firmware, and high-level software to deliver production-ready solutions. Trust our experience and take advantage of a free consultation today.
FAQ
Is it worth starting prototyping with boards like Arduino or Raspberry Pi?
Yes, if the goal is to quickly build a proof of concept that meets the needs of the users . However, for commercial projects, particularly those involving big data it is essential to eventually migrate to a platform optimized for cost, energy efficiency, and reliability.
When is it better to choose a microcontroller over an application processor?
When the system requires deterministic response times, low power consumption, and relatively simple logic. Microcontrollers are the dominant choice in IoT devices, sensors, and industrial controllers.
How to assess the risk related to component availability (EOL, lead time)?
Check whether the component is marked as “Not recommended for new designs” for customers and monitor the vendor’s product roadmap. Components with long lead times pose a significant risk to the supply chain.
What specifications should you look for when evaluating platform documentation?
Not just the volume of materials, but especially the quality of code examples, clarity of hardware diagrams, and how up-to-date the content is. A well-documented SDK can save considerable development time.
