市場調查報告書
商品編碼
1467846
2024-2032 年按架構、配置、最終用途產業和地區分類的現場可程式閘陣列市場報告Field Programmable Gate Array Market Report by Architecture, Configuration, End Use Industry, and Region 2024-2032 |
2023年全球現場可程式閘陣列(FPGA)IMARC Group規模達124億美元。對人工智慧(AI)和機器學習(ML)不斷成長的需求、電子系統複雜性的增加以及對節能和成本節約解決方案不斷成長的需求是推動市場發展的一些關鍵因素。
現場可程式閘陣列 (FPGA) 是一種積體電路 (IC),可在製造後由使用者或設計者進行程式設計和配置。它包括可配置為建立客製化數位電路的可程式邏輯區塊(PLB)和可程式互連,其中PLB包含查找表(LUT)、觸發器和可互連以執行各種邏輯操作的其他邏輯元件。它還涉及使用硬體描述語言 (HDL)(例如 VHDL 或 Verilog)指定所需的電路設計。由於它允許用戶定義和實現自己的數位電路和邏輯功能,因此全球對 FPGA 的需求正在不斷成長。
目前,FPGA的需求不斷成長,因為其能夠提供高效能運算能力,能夠高效處理複雜的演算法和運算,市場前景良好。除此之外,FPGA 還提供平行處理功能,可以同時執行多個任務,這使得它們適合人工智慧 (AI)、資料中心和高效能運算等要求嚴苛的應用。再加上製造後擴大使用 FPGA 來客製化和重新編程硬體功能,正在推動市場的成長。此外,電信、航空航太、汽車和國防產業擴大採用 FPGA 進行快速原型設計、設計修改和迭代開發週期,這也促進了市場的成長。此外,由於與傳統專用積體電路 (ASIC) 相比,FPGA 的上市時間更快,因此對 FPGA 的需求不斷成長,對市場產生了積極影響。
對人工智慧 (AI) 和機器學習 (ML) 的需求不斷成長
人工智慧 (AI) 和機器學習 (ML) 應用程式使用的增加正在刺激對高效能運算平台的需求。此外,這些技術處理大量資料並同時執行複雜的計算。 FPGA 憑藉其平行處理能力,可加速 AI 和 ML 工作負載,並為圖形處理單元 (GPU) 或特定應用加速器提供可行的替代方案。它們可以針對特定演算法和任務進行編程和最佳化,從而實現高效的平行處理和加速性能。此外,開發人員還可以使用 FPGA 設計和實現客製化硬體加速器,從而顯著提高 AI 和 ML 任務的效能和效率。
電子系統的複雜性不斷增加
各行業的電子系統的複雜性不斷成長。 FPGA 提供了一個多功能平台,可將多種功能和介面整合到單一裝置中,減少對多個元件的需求,並簡化系統設計。它們提供並行處理功能和實現自訂邏輯的能力,使設計人員能夠最佳化特定應用的效能。隨著系統複雜性的增加,FPGA也有助於實現複雜的演算法和即時處理大量資料。此外,電子系統不再是獨立的實體,而是擴大連接並整合到更大的系統或網路中。因此,FPGA 提供內建功能,例如高速收發器、記憶體介面和周邊介面,這使得它們適合系統級整合。
對節能和成本節約解決方案的需求不斷成長
與通用處理器或 ASIC 相比,FPGA 具有更高的能源效率。它們可以針對特定任務進行最佳化,並降低功耗和整體系統成本。這使得它們對於電源效率至關重要的應用非常有用,例如邊緣運算、物聯網 (IoT) 和嵌入式系統。此外,FPGA 設計用於執行平行計算,允許同時執行多個操作。這種並行性可以節省能源,因為與順序處理器相比,可以用更少的時脈週期完成相同的任務,從而降低整體功耗。此外,FPGA 更具成本效益,因為它們可以在開發過程中多次重新編程和重新配置,從而無需昂貴且耗時的製造過程。
The global field programmable gate array (FPGA) market size reached US$ 12.4 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 24.6 Billion by 2032, exhibiting a growth rate (CAGR) of 7.8% during 2024-2032. The growing demand for artificial intelligence (AI) and machine learning (ML), increasing complexity of electronics systems, and rising need for energy efficient and cost saving solutions represent some of the key factors propelling the market.
A field programmable gate array (FPGA) is a type of integrated circuit (IC) that can be programmed and configured by the user or designer after manufacturing. It comprises programmable logic blocks (PLBs) and programmable interconnects that can be configured to create custom digital circuits, wherein PLBs contain look-up tables (LUTs), flip-flops, and other logic elements that can be interconnected to perform various logical operations. It also involves specifying the desired circuit design using a hardware description language (HDL), such as VHDL or Verilog. As it allows users to define and implement their own digital circuits and logic functions, the demand for FPGA is rising around the world.
At present, the growing demand for FPGAs, as they can provide high-performance computing capabilities and can handle complex algorithms and computations efficiently, is offering a favorable market outlook. Besides this, FPGAs offer parallel processing and can execute multiple tasks simultaneously, which makes them suitable for demanding applications like artificial intelligence (AI), data centers, and high-performance computing. This, along with the rising utilization of FPGAs to customize and reprogram the hardware functionality after fabrication, is propelling the growth of the market. In addition, the increasing adoption of FPGAs in the telecommunications, aerospace, automotive, and defense industries for rapid prototyping, design modifications, and iterative development cycles is strengthening the growth of the market. Moreover, the growing demand for FPGAs, as they offer a faster time-to-market compared to traditional application-specific integrated circuits (ASICs), is positively influencing the market.
Growing demand for artificial intelligence (AI) and machine learning (ML)
A rise in the use of artificial intelligence (AI) and machine learning (ML) applications is catalyzing the demand for high-performance computing platforms. Moreover, these technologies process a large amount of data and perform complex calculations simultaneously. FPGAs, with their parallel processing capabilities, can accelerate AI and ML workloads and offer a viable alternative to graphics processing units (GPUs) or application-specific accelerators. They can be programmed and optimized for specific algorithms and tasks, thereby allowing efficient parallel processing and accelerated performance. In addition, developers can design and implement custom hardware accelerators with FPGAs, which can significantly enhance the performance and efficiency of AI and ML tasks.
Increasing complexity of electronics systems
The complexity of electronic systems is continuously growing across various industries. FPGAs provide a versatile platform for integrating multiple functions and interfaces into a single device, reducing the need for multiple components, and simplifying system design. They offer both parallel processing capabilities and the ability to implement custom logic, which allows designers to optimize performance for specific applications. As system complexity increases, FPGAs also assist in implementing complex algorithms and processing large amounts of data in real time. In addition, electronic systems are no longer standalone entities but are increasingly connected and integrated into larger systems or networks. As a result, FPGAs offer built-in features, such as high-speed transceivers, memory interfaces, and peripheral interfaces, which makes them suitable for system-level integration.
Rising demand for energy efficient and cost saving solutions
FPGAs can be power-efficient compared to general-purpose processors or ASICs. They can be optimized for specific tasks and reduce power consumption and overall system costs. This makes them useful for applications wherein power efficiency is critical, such as edge computing, the Internet of Things (IoT), and embedded systems. In addition, FPGAs are designed to perform parallel computations, allowing multiple operations to be executed simultaneously. This parallelism can lead to energy savings, as the same task can be accomplished with fewer clock cycles as compared to a sequential processor, which reduces overall power consumption. Moreover, FPGAs are more cost-effective, as they can be reprogrammed and reconfigured multiple times during the development process, eliminating the need for expensive and time-consuming fabrication processes.
IMARC Group provides an analysis of the key trends in each segment of the global field programmable gate array (FPGA) market report, along with forecasts at the global, regional and country levels from 2024-2032. Our report has categorized the market based on architecture, configuration, and end use industry.
SRAM-Based FPGA
Anti-Fuse Based FPGA
Flash-Based FPGA
SRAM-based FPGA dominate the market
The report has provided a detailed breakup and analysis of the market based on the architecture. This includes SRAM-based FPGA, anti-fuse based FPGA, and flash-based FPGA. According to the report, SRAM-based FPGA represented the largest segment as it is highly flexible and allows designers to configure the device according to their specific requirements.
Moreover, SRAM-based FPGAs offer high-performance capabilities, as they use static random-access memory (SRAM) cells for configuration storage. SRAM cells can be quickly and easily reprogrammed, which allows for the efficient implementation of complex logic functions, memory structures, and high-speed interfaces. They also provide the ability to reprogram the device on the fly and enables designers to perform design iterations and debugging at the hardware level. The flexibility of SRAM-based FPGAs also allows for faster time-to-market. With SRAM-based FPGAs, designers can implement and validate their designs without the need for custom ASIC development or lengthy fabrication processes.
Low-range FPGA
Mid-range FPGA
High-range FPGA
Low-range FPGA holds the biggest market share
A detailed breakup and analysis of the market based on the configuration has also been provided in the report. This includes low-range FPGA, mid-range FPGA, and high-range FPGA. According to the report, low-range FPGA accounted for the largest market share as it is more cost-effective compared to its higher-end counterparts. It is often more affordable and can offer a balance between price and functionality, which makes it suitable for cost-sensitive applications.
It consumes less power as compared to high-end FPGA. This lower power consumption can be advantageous in applications wherein power efficiency is critical, such as battery-powered devices or embedded systems. Moreover, it has simpler architecture and fewer features compared to high-end FPGAs, which can make it easier to understand, program, and integrate into designs, especially for beginners or projects with less complex requirements. It is also available in smaller form factors and makes them suitable for space-constrained applications.
IT and Telecommunication
Consumer Electronics
Automotive
Industrial
Military and Aerospace
Others
IT and telecommunication accounts for the majority of the market share
A detailed breakup and analysis of the market based on the end use industry has also been provided in the report. This includes IT and telecommunication, consumer electronics, automotive, industrial, military and aerospace, and others. According to the report, IT and telecommunication accounted for the largest market share.
FPGAs offer a high degree of flexibility in hardware design and functionality. They can be reprogrammed or reconfigured after manufacturing, allowing for quick prototyping, iterative design changes, and customization to meet specific application requirements. This flexibility is particularly valuable in the IT and telecommunication industry that experiences rapid technological advancements and evolving standards. FPGAs also provide parallel processing capabilities that can be tailored to match the requirements of specific applications, making them suitable for demanding tasks, such as signal processing, data analytics, cryptography, and high-speed networking. Moreover, in telecommunications, they can be used in network switches, routers, and base stations to handle data packet routing and processing with minimal delay.
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
Asia Pacific exhibits a clear dominance, accounting for the largest field programmable gate array (FPGA) market share
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa.
Asia Pacific held the biggest market share as it is a major manufacturing hub for electronic devices and components. As FPGAs are crucial components in various electronic systems, the demand for FPGAs is increasing in parallel with the growth of the semiconductor industry. Moreover, the growing adoption of advanced technologies and automation in industries, such as telecommunications, automotive, consumer electronics, and healthcare, is catalyzing the demand for FPGAs in the region, as they offer flexible and customizable solutions for these industries, which enables them to implement complex functionalities, enhance performance, and reduce time-to-market for their products.
The level of competition in the market is moderate with a moderate threat of new entrants. Established players have a long history of developing and refining FPGA technologies, which provides them with a competitive advantage. As for the threat of new entrants, it can be somewhat challenging for new companies to enter the FPGA market, as developing FPGA technology requires significant research and development (R&D) investments, as well as expertise in semiconductor design and manufacturing. The established players in the market have made substantial investments in these areas over many years, giving them a strong technological advantage. However, numerous advancements in technology and evolving market dynamics can create opportunities for new entrants, such as hybrid FPGAs, machine learning (ML) accelerators, and high-performance computing solutions.
Achronix Semiconductor
Cypress Semiconductor Corporation (Infineon Technologies AG)
Efinix Inc.
EnSilica Limited
Flex Logix Technologies Inc.
Gidel Inc.
Intel Corporation
Lattice Semiconductor Corporation
Microsemi Corporation (Microchip Technology Inc.)
Quicklogic Corporation
Taiwan Semiconductor Manufacturing Company
Xilinx Inc.
In April 2020, Infineon Technologies AG announced the closing of the acquisition of Cypress Semiconductor Corporation.
In March 2023, Efinix Inc., an innovator in programmable product platforms and technology, announced support from the Lauterbach TRACE32(R) suite of debug and trace tools for its quad core, Linux capable, Sapphire RISC-V processor.
EnSilica Limited, a leading ASIC and mixed signal chip maker, recently released an evaluation platform to speed up the development of wearable fitness and healthcare vital-sign monitoring systems.