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Embedded Field-Programmable Gate Array (FPGA) Market: Industry Trends, Market Segmentation, Growth Factors, and Technological Advancements
Embedded Field-Programmable Gate Array (FPGA) Market
As per the report, the embedded field-programmable gate array market size has grown rapidly in recent years. It will grow from $9.6 billion in 2023 to $11.09 billion in 2024 at a compound annual growth rate (CAGR) of 15.4%. The embedded field-programmable gate array market size is expected to see rapid growth in the next few years. It will grow to $19.49 billion in 2028 at a compound annual growth rate (CAGR) of 15.1%.
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5G Networks Fueling Growth In The Embedded Field-Programmable Gate Arrays Market
The rapid expansion of 5G networks is expected to propel the growth of the embedded field-programmable gate array market going forward. 5G networks are the fifth generation of mobile networks, providing faster data transfer rates, lower latency, and increased capacity for wireless communication. 5G networks enhance embedded field-programmable gate arrays (FPGAs) by providing high-speed wireless connectivity, enabling efficient communication and data transfer in IoT and embedded systems. This integration facilitates real-time processing and responsiveness in diverse applications. For instance, in September 2023, according to 5G Americas, a US-based industry trade organization, in North America, 40% of the population now uses 5G, and it's growing fast at 25.5% in the first half of 2023. Additionally, by 2028, it's expected to reach 669 million connections. Therefore, the rapid expansion of 5G networks drives the growth of the embedded field-programmable gate array market.
Innovative Developments In Embedded Field-Programmable Gate Arrays
Major companies operating in the embedded field-programmable gate array (FPGA) market are developing innovative technology such as the FPGA-based adaptive (system-on-chip) SoC, to increase profitability in the market. An FPGA-based adaptive SoC is a type of semiconductor device that combines the flexibility and reconfigurability of an FPGA with the functionality of a traditional SoC. For instance, in June 2023, Advanced Micro Devices Inc., a US-based multinational corporation and semiconductor company, launched the AMD Versal Premium VP1902 adaptive SoC. This chip is made for emulation and prototyping, with twice the capacity of older FPGAs. It helps simplify testing complex semiconductor designs, especially for AI and other emerging technologies in application-specific integrated circuits (ASIC) and SoC development.
The embedded field-programmable gate array (FPGA) market covered in this report is segmented -
1) By Type: Electrically Erasable Programmable Read-only Memory, Antifuse, Static Random Access Memory, Factual Lines About Submarine Hazards, Other Types
2) By Technology: Very Large-Scale Integration (VLSI), Integrated Circuit, Programmable Logic Device
3) By Application: Data Processing, Consumer Electronics, Industrial, Military And Aerospace, Automotive, Telecommunications, Other Applications
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Major companies operating in the embedded field-programmable gate array (FPGA) market are Intel Corporation, Broadcom Limited, NVIDIA Corporation, AMD Inc., Toshiba, Texas Instruments, Infineon Technologies, NXP Semiconductors N.V., Analog Devices Inc., Microchip Technology, Renesas Electronics Corporation, Lattice Semiconductor Corporation, Altera, Menta, Quick Logic Corporation, Zilog, Flex Logix, Achronix Semiconductor Corporation, Microsemi, Efinix, Cypress Semiconductor, Atmel, GOWIN Semiconductor
Contents of the report:
1. Executive Summary
2. Embedded Field-Programmable Gate Array (FPGA) Market Report Structure
3. Embedded Field-Programmable Gate Array (FPGA) Market Trends And Strategies
4. Embedded Field-Programmable Gate Array (FPGA) Market - Macro Economic Scenario
5. Embedded Field-Programmable Gate Array (FPGA) Market Size And Growth
…..
27. Embedded Field-Programmable Gate Array (FPGA) Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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