ARM64 Architecture In IoT: How It Powers Modern Connected Devices

ARM64 Architecture In IoT

IoT devices today are expected to do far more than just collect and send data. They process information locally, secure sensitive communication, and often make real-time decisions at the edge. To meet these growing demands, the underlying processor architecture must be powerful, efficient, and future-ready. This is where ARM64 Architecture in IoT plays a crucial role. From smart home hubs to industrial gateways and medical devices, ARM64 has become a trusted foundation for modern connected systems. In this blog, we’ll explore why ARM64 matters in IoT, how it works in real-world deployments, and why it is increasingly preferred for next-generation devices.

ARM64 Architecture in IoT is a 64-bit processor design that powers modern connected devices. It combines high performance, low power consumption, and strong security, making it ideal for edge computing and AI-enabled IoT systems. By enabling real-time processing and supporting advanced operating systems, ARM64 helps devices operate smarter and more efficiently.

Why Processor Architecture Is Critical in IoT Systems

Unlike traditional computers, IoT devices often run continuously, operate in remote environments, and rely on limited power sources. A poor processor choice can lead to higher power consumption, security risks, and shorter device lifecycles.

An ideal IoT processor architecture must:

  • Consume minimal power
  • Handle multiple tasks reliably
  • Support modern operating systems
  • Offer long-term security and scalability

ARM64 Architecture in IoT addresses these requirements by balancing performance with efficiency, making it suitable for both simple and advanced IoT systems.

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What Is ARM64 Architecture and Why Was It Introduced?

ARM64, also known as AArch64, is a 64-bit processor architecture developed by ARM. It was introduced to overcome the limitations of older 32-bit designs, especially as software and data requirements continued to grow.

ARM64 enables:

  • Larger memory addressing
  • Faster data processing
  • Improved instruction handling
  • Stronger security mechanisms

For IoT devices that now run complex software stacks and intelligent workloads, this transition to 64-bit architecture is a natural and necessary evolution.

Why ARM64 Is a Practical Choice for Modern IoT Devices

ARM64 is not just about higher bit width it’s about real-world usability in embedded systems.

High Performance With Low Power Consumption

ARM processors are known for efficiency, and ARM64 continues this legacy. It delivers higher computational performance without significantly increasing power usage, which is essential for battery-powered and always-on IoT devices.

Support for Advanced Applications

Modern IoT devices handle encryption, networking, analytics, and even AI inference. ARM64 provides the processing headroom needed for these tasks without moving to power-hungry desktop-class CPUs.

Long-Term Software Compatibility

As operating systems and frameworks move toward 64-bit environments, ARM64 ensures IoT devices remain compatible, secure, and upgradable for years.

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ARM64 Architecture In IoT: Key Capabilities and Benefits

Feature

ARM64 Architecture In IoT

Why It Matters for IoT Devices

Processing Width

64-bit architecture

Handles larger data sets and complex applications

Power Efficiency

Optimized performance per watt

Extends battery life and reduces maintenance

Memory Support

Large memory addressing

Enables multitasking, AI, and modern OS support

Security Features

TrustZone, secure boot, encryption

Protects firmware and sensitive data

Edge Computing Support

High local processing capability

Reduces latency and cloud dependency

AI & ML Readiness

SIMD and accelerator support

Enables real-time AI inference

OS Compatibility

Linux, Android, Ubuntu Core, RTOS

Flexible development and deployment

Scalability

From edge nodes to gateways

Suitable for diverse IoT use cases

 

How ARM64 Enables Edge Computing in IoT

Edge computing has become a core part of modern IoT architectures. Instead of sending all data to the cloud, devices process information locally to reduce latency and improve reliability.

With ARM64 Architecture in IoT, devices can:

  • Analyze data at the source
  • Respond instantly to events
  • Reduce bandwidth usage
  • Continue operating even with limited connectivity

This approach is widely used in industrial automation, smart surveillance, and real-time monitoring systems.

ARM64 and AI at the Edge

AI is no longer limited to cloud servers. Many IoT devices now perform machine learning inference locally, especially where speed and privacy are critical.

ARM64 supports edge AI by:

  • Enabling vector and SIMD processing
  • Supporting AI frameworks and libraries
  • Integrating with dedicated AI accelerators

This allows smart cameras, voice assistants, and predictive maintenance systems to make fast and accurate decisions without relying entirely on the cloud.

Security Advantages of ARM64 Architecture in IoT

Security is a major concern in IoT due to the massive number of connected devices and potential attack surfaces. ARM64 includes built-in hardware security features designed for embedded environments.

Key security benefits include:

  • Secure boot to prevent unauthorized firmware
  • ARM TrustZone for isolated execution
  • Hardware-backed encryption support
  • Memory protection mechanisms

These features make ARM64 suitable for sensitive applications such as healthcare, automotive systems, and industrial control.

Operating System Support for ARM64-Based IoT Devices

ARM64 benefits from a strong and mature software ecosystem. Most modern operating systems fully support ARM64, giving developers flexibility and long-term stability.

Commonly used platforms include:

This wide support simplifies development and speeds up product deployment.

Real-World Applications of ARM64 in IoT

Industrial IoT and Automation

ARM64-powered controllers and gateways are used for machine monitoring, diagnostics, and predictive maintenance.

Smart Cities and Infrastructure

Traffic systems, smart lighting, and environmental monitoring rely on ARM64 for continuous operation and real-time processing.

Healthcare and Wearable Devices

Medical IoT devices benefit from ARM64’s efficiency, reliability, and strong security features.

Consumer IoT and Smart Homes

Smart displays, home automation hubs, and voice-enabled devices use ARM64 to manage multimedia, connectivity, and intelligent features.

ARM64 vs 32-Bit Architectures in IoT

While 32-bit processors are still used in basic IoT sensors, they struggle with modern workloads.

ARM64 offers:

  • Larger memory addressing
  • Better multitasking support
  • Improved security architecture
  • Higher performance for advanced applications

As IoT systems continue to evolve, ARM64 is becoming the preferred long-term solution.

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Final Thoughts: Why ARM64 Is Central to the Future of IoT

ARM64 Architecture in IoT is more than just a technical upgrade; it is a foundation for smarter, more secure, and more capable connected devices. By combining performance, efficiency, scalability, and security, ARM64 enables IoT systems to move beyond basic connectivity into intelligent, edge-driven solutions. As IoT continues to expand across industries, ARM64 will remain a key technology powering the connected world.

 It is a 64-bit ARM processor design used in IoT devices for better performance, memory support, and energy efficiency.

ARM64 handles larger data, supports advanced applications, improves multitasking, and offers stronger security.

Yes, ARM64 supports vector processing, AI accelerators, and local inference for real-time decision-making.

Absolutely. It delivers high performance per watt, extending battery life and reducing maintenance.

ARM64 supports Embedded Linux, Ubuntu Core, Android, and real-time operating systems (RTOS).


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Author

Embedded Systems Trainer – IIES

Updated On: 30-01-26

 10+ years of hands-on industry experience, Indian Institute of Embedded Systems (IIES), Bangalore, delivers practical, job-oriented training in Embedded Systems, ARM architecture, Linux, and IoT technologies