Equally important, neuromorphic AI is directly tackling the SWaP problem that prevents conventional AI from running effectively at the edge. In 2022, more than 112 million IoT devices were compromised, and IoT malware surged by 400% the following year. Neuromorphic processors, such as Akida 1000, address these challenges by delivering on‑device, event‑driven anomaly detection without heavy infrastructure requirements. This positions neuromorphic SOC technologies as a practical path to securing IoT, UAVs and critical infrastructure endpoints that cannot support traditional AI models.
Market and strategic implications
Darwin Monkey 3 symbolizes more than a technological achievement; it reflects geopolitical competition in next‑generation AI hardware. The ability to deploy neuromorphic systems across healthcare, ICS, defense, logistics and security may shape both national resilience and private‑sector competitiveness. Importantly, as Furber notes, the hardware is ready — but the ecosystem isn’t. Development tools akin to TensorFlow or PyTorch are still emerging (e.g., PyNN, Lava), and convergence toward standards will be crucial for widespread adoption (IEEE Spectrum, 2024).
Adding to this, a 2025–2035 global market forecast projects significant growth in neuromorphic computing and sensing, spanning sectors such as healthcare, automotive, logistics, aerospace and cybersecurity. The study profiles more than 140 companies, from established giants like Intel and IBM to startups such as BrainChip and Prophesee, which are releasing joint products now, underscoring the breadth of investment and innovation. It also emphasizes challenges in standardization, tooling and supply chain readiness, suggesting that the race will not just be technological but also commercial and regulatory.