AI neuromorphic computing market seen reaching $9.28 billion by 2030

By AI, Created 4:33 PM UTC, May 18, 2026, /AGP/ – The Business Research Company says the artificial intelligence in neuromorphic computing market will grow from $2.76 billion in 2026 to $9.28 billion by 2030, driven by demand for low-power AI hardware, autonomous vehicles, robotics and industrial uses. North America led in 2025, while Asia-Pacific is forecast to be the fastest-growing region.

Why it matters: - The market is moving from niche research into commercial deployment, with potential gains in AI efficiency, latency and power use. - Growth in self-driving vehicles, robotics, healthcare and defense could speed adoption of brain-inspired hardware. - A market projected to reach $9.28 billion by 2030 signals rising demand for specialized AI chips and systems.

What happened: - The Business Research Company released its Artificial Intelligence in Neuromorphic Computing Global Market Report 2026 on May 13, 2026. - The report says the market will rise from $2.04 billion in 2025 to $2.76 billion in 2026. - The report forecasts a 35.1% CAGR from 2025 to 2026. - The report also projects the market will reach $9.28 billion by 2030, at a 35.4% CAGR. - North America held the largest market share in 2025. - Asia-Pacific is projected to be the fastest-growing region during the forecast period.

The details: - Artificial intelligence in neuromorphic computing combines AI software and hardware architectures inspired by the human brain. - The systems are designed to improve computational efficiency, reduce power consumption and support massive parallel processing. - The report says growth in 2026 is being driven by research in brain-inspired computing, demand for low-power AI hardware, wider use in consumer electronics, custom neuromorphic boards, and robotics and automation. - The 2030 outlook is driven by use in edge and cloud AI systems, robotics and industrial manufacturing, healthcare and life sciences, aerospace and defense, and data centers and cloud service providers. - The report highlights edge neuromorphic computing, spiking neural network hardware, neuromorphic memory devices, hybrid computing models, and AI-driven image and signal processing as emerging trends. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - A free sample of the report is available. - The full report is available online.

Between the lines: - Autonomous vehicles stand out as a key growth driver because onboard systems need real-time perception and decision-making under tight latency and power limits. - The report says traditional GPU and CPU architectures struggle with the volume of sensor data generated by self-driving vehicles. - Neuromorphic processors are positioned as a fit because they can deliver event-driven, ultra-low-latency computation. - The report cites a December 2024 National Highway Traffic Safety Administration projection that about 4.5 million autonomous vehicles could be on U.S. roads by 2030. - That forecast suggests a larger installed base for specialized AI hardware in vehicles.

What’s next: - The market will likely be shaped by broader adoption in edge AI, industrial automation and cloud infrastructure. - Adoption of neuromorphic memory, hybrid computing and spiking neural networks may become a clearer commercial test case over the next several years. - Regional momentum may continue to shift toward Asia-Pacific as investment and manufacturing capacity expand.

The bottom line: - Neuromorphic AI is still an emerging market, but the report points to fast scaling as industries look for faster, lower-power computing.