AI chip market seen growing 22% annually through 2032

Makreo Research projects the global AI chip market will grow at a 22% CAGR from 2027 to 2032 as hyperscaler spending, custom silicon, and data center buildouts reshape semiconductor demand. The report points to surging AI infrastructure investment, rising power needs, and intensifying competition among GPUs, ASICs, and proprietary accelerators.

Why it matters: - The AI chip market is being pulled by a massive buildout in data center capacity, with hyperscalers and governments committing capital at unprecedented scale. - Semiconductor demand is shifting from general-purpose GPUs alone toward a mix of GPUs, ASICs, custom accelerators, and advanced memory. - The change affects where capital flows, how chipmakers compete, and how enterprises source AI compute.

What happened: - Makreo Research said the global AI chip market is projected to grow at about 22% CAGR between 2027 and 2032. - The forecast is supported by hyperscaler investment, expanding AI data center infrastructure, and progress in GPUs, ASICs, custom accelerators, and high-bandwidth memory. - The report was published as part of Makreo Research's AI Chip Market and Forecast to 2032. - Global semiconductor sales are projected to reach USD 738.6 billion in 2026. - Global investment in AI data center infrastructure is expected to exceed USD 6.7 trillion between 2025 and 2030. - AI-specific data center power demand is projected to rise from 44 GW in 2025 to 155 GW by 2030.

The details: - Semiconductors account for more than 95% of the content value of a leading AI server rack. - Annual semiconductor revenue deployed in AI data centers is projected to exceed USD 1.2 trillion by 2028. - GPUs remain the dominant chip type by volume because of their parallel-processing advantages in training large-scale AI models. - NVIDIA holds an estimated 70%-plus share of the AI accelerator market. - Google, Amazon, and Apple are advancing proprietary silicon, including TPU v5, Trainium 2, and Neural Engine, to reduce reliance on merchant GPU supply. - NVIDIA's second-quarter fiscal 2027 Data Centre revenue reached USD 89.0 billion, up 117% year over year and about 92% of total company revenue. - Chipmakers are moving beyond general-purpose GPUs into specialized inference silicon. - AMD agreed to acquire Toronto-based Taalas, which hardwires AI model weights directly into silicon for high-speed inference. - Qualcomm is working with Amazon Web Services on customized AI-inference chips and advanced optical connectivity. - Microchip Technology agreed to acquire Israeli edge-AI processor developer Hailo. - ON Semiconductor agreed to acquire Synaptics for about USD 7 billion to expand into physical AI applications. - The study covers 18 global AI chip market companies.

Between the lines: - The market is moving toward heterogeneous AI infrastructure, where multiple chip types work side by side rather than one dominant architecture. - Hyperscaler custom silicon threatens some merchant GPU demand, but it also broadens the market for specialized accelerators and advanced packaging. - Competitive pressure is rising in inference chips as training leadership and deployment-scale efficiency become separate battlegrounds. - Regional policy is now part of the semiconductor race, not just a backdrop to it. - The investment question is shifting from how much AI compute can be added to where it can be built with enough power, supply chain depth, and geopolitical resilience.

What's next: - Makreo Research expects hyperscaler capital spending and chip architecture diversification to keep shaping the market through 2032. - The United States will likely remain a leading AI infrastructure deployment market, while China, South Korea, and Europe continue to push domestic capability. - Huawei moved up the planned launch of its Ascend 960DT AI chip to the first quarter of 2027, three quarters ahead of schedule. - NVIDIA is in early-stage discussions with South Korean AI chip designer Rebellions on a possible technology partnership, investment, or acquisition. - Europe's AI chip market revenue is estimated to reach USD 45.35 billion in 2026. - South Korea's national chip and AI strategy includes new fabrication capacity tied to Samsung Electronics, SK Hynix, and suppliers.

The bottom line: - AI chip demand is no longer just a function of model growth. It is increasingly shaped by custom silicon, infrastructure scale, and the race to secure power, manufacturing, and supply chain control.