AI on edge semiconductor market seen reaching $15.5 billion by 2030

The AI on edge semiconductor market is projected to jump from $6.89 billion in 2025 to $15.5 billion by 2030, driven by faster adoption of edge computing, IoT devices and low-latency AI processing. North America led the market in 2025, while Asia-Pacific is expected to grow fastest.

Why it matters: - AI on edge semiconductors move AI processing onto devices instead of the cloud. - That shift supports faster decisions, lower latency and better energy efficiency for connected products. - The market's growth reflects rising demand for real-time inference, privacy-preserving computing and autonomous edge devices.

What happened: - The AI on edge semiconductor market is projected to grow from $6.89 billion in 2025 to $8.13 billion in 2026. - The market is forecast to reach $15.5 billion by 2030. - The report projects a 17.9% CAGR from 2025 to 2026 and a 17.5% CAGR from 2026 to 2030. - North America held the largest market share in 2025. - Asia-Pacific is expected to be the fastest-growing region in the coming years.

The details: - AI on edge semiconductors are chips built to run artificial intelligence workloads on edge devices without relying on cloud infrastructure. - The chips combine AI acceleration, processing power, memory and connectivity. - The design supports real-time data analysis and low-latency decision-making. - The market's near-term growth is tied to edge computing, real-time data processing, connected devices, low-latency decisions and broader adoption of AI-embedded systems. - Longer-term growth is expected to come from energy-efficient AI processing, localized AI inference, privacy-preserving computing and specialized AI accelerators. - Key trends include on-device AI inference, low-latency operations, energy efficiency, more AI accelerators in edge chips and stronger data privacy at the edge. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - The Business Research Company added market attractiveness scoring, TAM analysis, company scoring matrices, Excel forecasting dashboards, market hotspot infographics, key technology analysis and updated graphics and tables to its 2026 reports. - A free sample report is available here. - The full report is available here.

Between the lines: - The biggest demand driver is the spread of IoT devices, which generate sensor data that edge AI processors can analyze locally. - Local processing improves security and privacy because data does not need to move to a central cloud system. - The European Commission reported in July 2025 that about 40 billion IoT-connected devices were deployed worldwide in 2023 and that number could reach 49 billion by 2026. - That device growth gives semiconductor makers a larger base of endpoints that need onboard AI.

What's next: - Market growth is likely to stay tied to autonomous devices, edge inference and specialized AI hardware. - Asia-Pacific's expansion could narrow the gap with North America as deployment shifts toward higher-volume connected-device markets. - The next competitive focus is likely to be chips that balance performance, power efficiency and privacy at the edge.