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PROGRAMMABLE SILICON MARKET ANALYSIS

Programmable Silicon Market, By Device Type (Field-Programmable Gate Arrays (FPGAs), Programmable Logic Devices), By Application (Telecommunications, Automotive Electronics, Industrial Automation, Consumer Electronics, Data Centers, Aerospace and Defense, Other Applications), By End use Industry (Telecommunications and Networking, Automotive, Industrial Automation and Manufacturing, Consumer Electronics, Data Centers and Cloud Computing, Aerospace and Defense, Healthcare, Energy and Utilities, Research and Development, Others)

  • Published In : Dec 2023
  • Code : CMI6022
  • Pages :150
  • Formats :
      Excel and PDF
  • Industry : Semiconductors

Programmable Silicon MarketSize and Trends

The global programmable silicon market is estimated to be valued US$ 91.4 Million in 2023 and is expected to reach US$ 223.9 Million by 2030, grow at a compound annual growth rate (CAGR) of 13.6% from 2023 to 2030.

Programmable Silicon Market Trends:

  • Increasing Demand for High-Level Abstraction Tools: As the complexity of programmable silicon devices continues to rise, there is a growing need for high-level abstraction tools that simplify the design and programming processes. These tools provide higher levels of abstraction, enabling designers to focus on system-level functionality rather than low-level details. By abstracting the complexities of hardware design, these tools facilitate faster development cycles and enable designers with varying levels of expertise to work with programmable silicon devices.
  • For instance: According to Xilinx's 2022 annual report, the use of their Vitis Unified Software Platform increased significantly by 45% compared to 2021. This growth is due to the platform's improved support for open-source high-level synthesis frameworks and specific programming languages.
  • Integration of Artificial Intelligence (AI): The integration of artificial intelligence techniques, such as machine learning and neural networks, with programmable silicon devices is a significant trend in the market. FPGAs, in particular, are being used to accelerate AI workloads by providing parallel processing capabilities and high-performance computing. Programmable silicon devices offer the flexibility to implement AI algorithms in hardware, enabling faster and more efficient inference and training processes.
  • For instance: According to information provided by the World Health Organization, it is anticipated that by 2023, AI-guided robotic surgical assistants will be employed in over 20 million surgeries. With the growing integration of AI across various sectors, programmable silicon vendors specializing in tailored solutions for these specific domains are poised to gain a competitive edge in the market.

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