by Programmable silicon, also known as field-programmable gate array (FPGA), is an integrated circuit that can be reconfigured after manufacturing based on specification requirements. Programmable silicon provides customizable hardware accelerators that enhance artificial intelligence (AI) and machine learning (ML) workloads. The growing deployment of AI across different industries has increased the demand for flexible, scalable and efficient hardware accelerators, driving the need for programmable silicon.
The global programmable silicon market accounted for approximately US$ 69.49 billion in 2020 and is estimated to be valued at US$ 104.99 billion in 2024, exhibiting a CAGR of 6.5% during the forecast period from 2024 to 2030.
Key Takeaways
Key players operating in The Programmable Silicon Market are Becton, Dickinson and Company, B. Braun Melsungen AG, Nipro Corporation, ICU Medical, Inc., Baxter International Inc., Terumo Corporation, Smiths Medical, Fresenius Kabi AG, Eli Lilly and Company, JMS Co. Ltd., and NewIV Medical, Inc.
The key opportunities in the programmable silicon market include increased investments in AI startups, growing demand for cloud computing and edge AI applications, and rising deployment of ML workloads at the network edge. Technological advancements such as FPGA-to-ASIC migration tools, embedded FPGA boards, and AI-optimized SoCs are further fueling the adoption of programmable silicon chips.
Market Drivers
Increased deployment of AI across various industries: Growing adoption of AI technologies across healthcare, automotive, manufacturing, and other industries have augmented the demand programmable silicon chips to power efficient AI systems. Continued investments in AI startups and adoption of AI at the network edge are further expected to drive the programmable silicon market.
Rising need for ML hardware accelerators: Machine learning models have become increasingly complex, requiring more computational power, especially at the network edge. Programmable silicon solutions provide customizable and scalable hardware accelerators to improve ML workflow performance. This is a major factor propelling the programmable silicon market growth.
Current challenges in Programmable Silicon Market
The Programmable Silicon market is currently facing challenges in the development of next generation programmable platforms that are reconfigurable in terms of functionality post fabrication. There is a need for further advancement in integration levels and programmable architectures that can offer higher logic densities and improved device reliability over extended usage periods. Programmable devices also need to seamlessly integrate new applications in domains such as machine learning, autonomous systems and intelligent edge computing. Cost constraints associated with multi-project wafer shuttling and low volumes of some programmable devices also need to be addressed.
SWOT Analysis
Strength: Programmable devices offer design flexibility advantages over custom hardwired ICs. They allow integrated change of functionality across product lifecycles.
Weakness: Initial design costs and time-to-market durations for programmable silicon are higher compared to ASICs. Reliability over long term usage periods needs to be enhanced.
Opportunity: Growing demand for acceleration of AI/ML workloads at edge nodes presents an opportunity. Programmable logic can efficiently power applications in autonomous vehicles and industrial IoT.
Threats: Commoditization of FPGAs and emergence of new domain specific programmable platforms increase competitive pressures.
Geographical regions with market concentration
In terms of value, the Programmable Silicon market is currently highly concentrated in North America and Asia Pacific. This can be attributed to high demand for FPGAs and programmable ICs from sectors like telecommunications, industrial automation, automotive and data centers in these regions.
Fastest growing region
The Asia Pacific region is anticipated to record the fastest CAGR in the global Programmable Silicon market during the forecast period. Significant investments in 5G infrastructure rollouts, proliferation of AI/ML workloads at the network edge and rising semiconductor consumption are fueling market growth in Asia Pacific countries like China, Japan, South Korea and India. Government initiatives to promote domestic chip manufacturing are also aiding regional market expansion.
