AI Booming is Fueling Interface IP 17% YoY Growth
AI explosion is clearly driving semi-industry since 2020. AI processing, based on GPU, need to be as powerful as possible, but a system will reach optimum only if it can rely on top interconnects. The various sub-system parts (memory, processor, co-processor, network) need to be connected with interface links with ever more bandwidth and lower latency: DDR5 or HBM memory controller, PCIe and CXL, 224G SerDes and so on. When you design a supercomputer, raw processing power is important, but the way you access memory, latency and network speed optimization will allow you to succeed. It’s the same with AI, that’s why interconnects protocols are becoming key.
In 2023, the semiconductor market declined, but the interface IP segment grew by 17%. Our forecast shows stronger growth for years 2024 to 2028, comparable to 20% growth in the 2020’s. AI is driving the semiconductor industry and Interconnect protocols efficiency are fueling AI performance. Virtuous cycle!
Related Semiconductor IP
- RISC-V CPU IP
- AES GCM IP Core
- High Speed Ethernet Quad 10G to 100G PCS
- High Speed Ethernet Gen-2 Quad 100G PCS IP
- High Speed Ethernet 4/2/1-Lane 100G PCS
Related Blogs
- IPnest Forecast Interface IP Category Growth to $2.5B in 2025
- Interface IP Protocols: Status (2013), CAGR (2008/2013) & Forecast (to 2020)
- Powering AI and Automotive Applications with the MIPI Camera Interface
- Interface IP in 2021: $1.3B, 22% growth and $3B in 2026
Latest Blogs
- Why Choose Hard IP for Embedded FPGA in Aerospace and Defense Applications
- Migrating the CPU IP Development from MIPS to RISC-V Instruction Set Architecture
- Quintauris: Accelerating RISC-V Innovation for next-gen Hardware
- Say Goodbye to Limits and Hello to Freedom of Scalability in the MIPS P8700
- Why is Hard IP a Better Solution for Embedded FPGA (eFPGA) Technology?