Arm Expands AI Licensing Program to Boost On-Device AI Market Share

In a bold step to strengthen its foothold in the fast-growing on-device artificial intelligence (AI) sector, Arm Holdings has announced an expansion of its AI licensing program.

The British semiconductor design leader — whose technology powers more than 99% of the world’s smartphones — is aiming to accelerate AI innovation at the edge. From mobile devices and wearables to cars and connected sensors, Arm wants to ensure that intelligence happens directly on the device, where speed, efficiency, and privacy matter most.

A New Era for On-Device AI

Artificial intelligence is moving beyond massive cloud servers. Today, users expect smart, seamless AI experiences right on their personal devices — whether it’s real-time language translation, smarter cameras, or voice assistants that work offline.

This shift, often called on-device or edge AI, is one of the fastest-growing areas in modern computing.

To meet this demand, Arm’s expanded licensing program gives semiconductor makers and device manufacturers faster and more flexible access to its AI-ready chip designs. The company is offering:

• New licensing tiers for easier access
• Pre-validated intellectual property (IP) blocks for faster development
• AI-optimized chip architectures designed for energy-efficient performance

“AI is transforming the way people interact with technology, and on-device processing is critical to that evolution,” said Rene Haas, CEO of Arm. “With this expansion, we’re ensuring that developers — from startups to industry giants — can build faster, more efficient, and privacy-focused AI solutions.”

Expanding Beyond Traditional Licensing

Arm’s business model has long revolved around licensing its chip architectures — such as Cortex CPUs and Mali GPUs — to other companies. But this new AI initiative takes things further.

Now, Arm is introducing customizable AI accelerators and more flexible licensing terms to accommodate a wider range of AI applications.

Partners can:

• License pre-designed cores fine-tuned for AI workloads, or
• Co-develop specialized processors alongside Arm engineers

These chips will power everything from smartphones and wearables to cars, industrial machines, and edge servers.

Arm is also expanding its Total Design ecosystem — a collaborative platform that connects chipmakers, software developers, and system integrators. It offers resources like:

• AI model optimization tools
• Hardware verification systems
• Edge software libraries

All are fine-tuned for Arm’s latest Armv9 architecture and upcoming AI-focused cores.

Capturing the On-Device AI Opportunity

The timing couldn’t be better. Analysts predict the on-device AI chip market will surpass $45 billion by 2028, driven by demand for faster, more secure, real-time processing.

As AI models get smarter, the need to process data locally — instead of relying on the cloud — is growing. That’s where Arm’s energy-efficient architectures shine.

“Cloud-based AI is powerful but not always practical,” noted Neil Shah, partner at Counterpoint Research. “Latency, cost, and privacy are major concerns. Arm’s approach solves these issues by putting AI intelligence directly on the device.”

Partnerships with Tech Giants

While Arm hasn’t named specific partners, insiders suggest that long-time collaborators such as Qualcomm, MediaTek, and Samsung stand to benefit most from the expanded licensing program.

These companies are leading the race to build AI-enhanced processors that can power generative features like image creation, voice synthesis, and augmented reality — all without relying on the cloud.

The automotive industry is another key growth area. Arm’s architectures already drive many advanced driver-assistance systems (ADAS) and autonomous vehicle platforms. By enhancing its AI program, Arm aims to deepen its role in powering the intelligent, self-learning systems of the future.

Strengthening Arm’s Competitive Edge

Arm’s latest move also reflects a strategic response to growing competition. NVIDIA, AMD, and Intel are all aggressively pushing AI-focused hardware, while startups are developing new neural processors for edge computing.

Unlike those rivals, Arm emphasizes customization and scalability. Instead of offering a single chip design, it gives partners modular components that can be adapted for specific workloads — from smartphones to IoT devices.

Additionally, Arm’s focus on software optimization complements its hardware innovation. Its development tools — like the Arm Compute Library and Ethos-N AI accelerator software — help engineers deploy AI models efficiently across devices.

This tight integration between hardware and software is a major advantage, positioning Arm as a one-stop platform for end-to-end AI development.

A Step Toward Decentralized Intelligence

Beyond the business implications, Arm’s expansion signals a broader trend: the decentralization of AI.

As AI models grow in size and complexity, relying solely on cloud computing is no longer sustainable. The future lies in hybrid AI systems, where devices handle lighter inference and personalization tasks locally, while heavy computation remains in the cloud.

Arm’s low-power chips are ideal for this shift. By enabling billions of devices to run AI tasks independently, the company is helping build a world where intelligence is distributed, efficient, and accessible.

Looking Ahead

Industry experts view Arm’s move as a clear sign of its ambition to dominate the next wave of computing. After powering the mobile revolution, Arm is now setting the stage for the AI revolution — where every device can think, adapt, and learn.

“Arm’s success has always come from enabling innovation, not controlling it,” said Patrick Moorhead, founder of Moor Insights & Strategy. “By expanding its AI licensing framework, Arm is empowering developers to build the next generation of intelligent, energy-efficient devices.”

As the line between cloud and edge AI continues to blur, Arm’s initiative could redefine how artificial intelligence is deployed globally. From smartphones to smart cars and home appliances, the next generation of technology may owe its intelligence — and efficiency — to Arm’s evolving AI ecosystem.

In essence, Arm’s expanded AI licensing program isn’t just a business move. It’s a step toward a future where every connected device is truly intelligent.