![]() |
市场调查报告书
商品编码
1701948
2025 年至 2033 年现场可程式闸阵列 (FPGA) 市场报告(按架构、配置、最终用途产业和地区)Field Programmable Gate Array Market Report by Architecture, Configuration, End Use Industry, and Region 2025-2033 |
2024 年全球现场可程式闸阵列 (FPGA) 市场规模达 134 亿美元。展望未来, IMARC Group预计到 2033 年市场规模将达到 255 亿美元,2025-2033 年期间的成长率 (CAGR) 为 7.37%。人工智慧 (AI) 和机器学习 (ML) 的日益融合、电子系统的日益复杂以及对节能和节省成本的解决方案的需求不断增长是推动市场成长的一些关键因素。
现场可程式闸阵列 (FPGA) 是一种积体电路 (IC),可在製造后由使用者或设计人员进行程式设计和配置。它包括可程式逻辑区块 (PLB) 和可程式化互连,可配置为建立自订数位电路,其中 PLB 包含查找表 (LUT)、触发器和其他可互连以执行各种逻辑运算的逻辑元件。它还涉及使用硬体描述语言(HDL)(例如 VHDL 或 Verilog)指定所需的电路设计。由于它允许用户定义和实现自己的数位电路和逻辑功能,因此全球对 FPGA 的需求正在上升。
目前,由于FPGA能够提供高效能运算能力,能够高效处理复杂的演算法和运算,市场需求不断增长,前景看好。除此之外,FPGA 还提供并行处理并且可以同时执行多个任务,这使其适用于人工智慧 (AI)、资料中心和高效能运算等要求严苛的应用。这一点,加上 FPGA 在製造后客製化和重新编程硬体功能的利用率不断提高,推动了市场的成长。此外,电信、航太、汽车和国防工业越来越多地采用 FPGA 进行快速原型设计、设计修改和迭代开发週期,这也促进了市场的成长。此外,由于与传统专用积体电路 (ASIC) 相比,FPGA 具有更快的上市时间,因此对 FPGA 的需求不断增长,对市场产生了积极影响。
对人工智慧 (AI) 和机器学习 (ML) 的需求不断增长
人工智慧 (AI) 和机器学习 (ML) 应用的使用率上升正在催化对高效能运算平台的需求。此外,这些技术可以同时处理大量资料并执行复杂的计算。 FPGA 凭藉其平行处理能力,可加速 AI 和 ML 工作负载,并为图形处理单元 (GPU) 或特定应用加速器提供可行的替代方案。它们可以针对特定的演算法和任务进行编程和最佳化,从而实现高效的并行处理和加速的性能。此外,开发人员可以使用 FPGA 设计和实现客製化硬体加速器,这可以显着提高 AI 和 ML 任务的效能和效率。
电子系统日益复杂
各行各业的电子系统的复杂性都在增加。 FPGA 提供了一个多功能平台,可将多种功能和介面整合到单一装置中,从而减少了对多个元件的需求,并简化了系统设计。它们既提供并行处理能力,又提供实现自订逻辑的能力,这使得设计人员能够针对特定应用程式最佳化效能。随着系统复杂度的增加,FPGA也协助实现复杂的演算法和即时处理大量资料。此外,电子系统不再是独立的实体,而是越来越多地连接并整合到更大的系统或网路中。因此,FPGA 提供内建功能,例如高速收发器、记忆体介面和周边接口,使其适合系统级整合。
对节能和节省成本的解决方案的需求不断增长
与通用处理器或 ASIC 相比,FPGA 更节能。它们可以针对特定任务进行最佳化,并降低功耗和整体系统成本。这使得它们对于电源效率至关重要的应用非常有用,例如边缘运算、物联网 (IoT) 和嵌入式系统。此外,FPGA 设计用于执行平行计算,允许同时执行多个操作。这种并行性可以节省能源,因为与顺序处理器相比,相同的任务可以用更少的时脉週期完成,从而降低整体功耗。此外,FPGA 更具成本效益,因为它们可以在开发过程中多次重新编程和重新配置,从而无需昂贵且耗时的製造过程。
The global field programmable gate array (FPGA) market size reached USD 13.4 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 25.5 Billion by 2033, exhibiting a growth rate (CAGR) of 7.37% during 2025-2033. The growing integration of 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 growth.
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.
SRAM-based FPGA dominate the market
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 holds the biggest market share
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 accounts for the majority of the 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.
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.