Processing in Memory AI Chips Market Projected to Reach $44 Billion by 2032

The global processing in memory AI chips market is expected to grow from 231 million dollars in 2025 to 44.3 billion dollars by 2032, at a compound annual growth rate of 112.4 percent from 2026 to 2032, according to a press release.

Growth in this market is being driven by increasing inefficiencies in data movement within AI compute architectures, latency constraints, and the need to control power consumption and deployment costs. Processing in memory (PIM) chips reduce the distance between memory and computation, improving inference speed and throughput under limited thermal and energy conditions.

DRAM based PIM technology is leading adoption by addressing the high cost of data transfer between memory and logic, while SRAM based PIM supports low latency and power efficient use cases in compact environments. The expansion of edge AI is further promoting demand for these chips as inference workloads move closer to the data source.

The market’s momentum reflects a shift toward hardware designs optimized for AI inference performance and cost per inference rather than peak processing power.