BrainChip (BRN) investor relations material

Market trends and technology positioning

• Edge AI market is projected to grow from $31B to $69B between 2026 and 2031 at 18% CAGR, with physical AI expanding from $4B to $26B at 34% annually.

• AI adoption is in its early stages, with significant growth potential and increasing maturity in customer use cases.

• Power efficiency is critical in AI, especially for edge and physical AI, driving demand for specialized silicon.

• Demand for edge intelligence is driven by privacy, data sovereignty, and latency needs.

• Edge AI is expanding rapidly across sectors such as oil and gas, medical, defense, and wearables.

Technology and product innovation

• Event-driven neuromorphic processing reduces power consumption and latency, breaking from traditional von Neumann paradigms.

• The company has commercialized neuromorphic technology, making it mainstream, portable, and easy to adopt with a robust tool chain and model zoo.

• Portfolio includes modules, chips, IP, and plug-and-play solutions for edge AI, with 67 patents secured or under review.

• Hybrid compute approach balances workloads across NPUs, CPUs, and GPUs for efficiency.

• Offerings have expanded from a single IP level to four, with chips, modules, and reference designs now available.

Product and business model evolution

• The business model is balanced between IP/royalties and chip/module sales, with royalties expected to become a major revenue stream.

• Strong patent portfolio and a variety of chips, modules, and IP packages support customer choice and competitive advantage.

• Focused on scalable platforms, developer tools, and reference designs to accelerate adoption.