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市場調查報告書
商品編碼
2008839
現場可程式閘陣列 (FPGA) 市場報告:按架構、配置、最終用途產業和地區分類,2026-2034 年Field Programmable Gate Array Market Report by Architecture, Configuration, End Use Industry, and Region 2026-2034 |
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2025年,全球現場可程式閘陣列(FPGA)市場規模達143億美元。展望未來,IMARC Group預測,到2034年,該市場規模將達到264億美元,2026年至2034年的複合年成長率(CAGR)為6.79%。人工智慧(AI)和機器學習(ML)的日益融合、電子系統日益複雜以及對節能省電解決方案的需求不斷成長,是推動市場成長的主要因素。
對人工智慧 (AI) 和機器學習 (ML) 解決方案的需求日益成長
FPGA 日益廣泛地應用於加速 AI 和 ML 工作負載。這些工作負載通常涉及大規模矩陣運算和並行處理,而 FPGA 的平行架構恰好能夠勝任這些任務。 FPGA 可以被編程執行諸如矩陣乘法、卷積類神經網路(CNN) 運算和加速推理等專用任務,與傳統 CPU 和 GPU 相比,效能顯著提升。例如,低功耗可程式元件領域的領導者萊迪思半導體 (Lattice Semiconductor) 於 2021 年 5 月升級了其 sensAI 解決方案堆疊,以加速在低功耗萊迪思 FPGA 上進行 AI/ML應用開發。新增功能包括支援用於嵌入式處理器開發的「Lattice Propel」設計環境,以及支援用於裝置端推理的深度學習框架「TensorFlow Lite」。最新版本還整合了「Lattice sensAI Studio」設計環境,可實現 ML 模型的端到端訓練、檢驗和編譯。 sensAI 4.0 允許開發人員使用簡單的拖放介面創建包含 RISC-V CPU 和 CNN 加速引擎的 FPGA 設計,從而在功耗受限的邊緣設備上快速輕鬆地實現機器學習應用。此外,與 CPU 和 GPU 相比,FPGA 具有更高的運算效率和更低的功耗,尤其適用於某些 AI 和 ML 任務。這種能源效率對於功耗受限的邊緣設備和電池供電應用至關重要。 FPGA 能夠實現節能的 AI 處理,同時又不影響效能,因此對於物聯網裝置、穿戴式裝置和行動裝置等應用來說,FPGA 是一個極具吸引力的選擇。例如,低功耗可程式元件領域的先驅萊迪思半導體 (Lattice Semiconductor) 於 2024 年 5 月宣布,將在 2024 年嵌入式視覺高峰會上發布其最新的 FPGA 技術。萊迪思的展位將展示業界領先的低功耗和超小型 FPGA,以及支援強大嵌入式視覺、人工智慧和連接功能的特定應用解決方案。萊迪思及其強大的創新合作夥伴正在展示FPGA技術的最新進展,幫助工程師打造面向未來的汽車、工業和安防應用前沿設計。這些因素對現場可程式閘陣列(FPGA)市場的前景產生了積極影響。
電子系統日益複雜
隨著電子系統功能和多功能性的不斷提升,其複雜性也日益增加。與傳統的固定功能積體電路相比,FPGA 提供了無與倫比的設計柔軟性。設計人員可以在單一 FPGA 晶片內實現複雜的邏輯功能、訊號處理演算法和介面,從而減少對多個分立元件的依賴,並簡化系統整合。例如,2024 年 3 月,高效能 FPGA 和嵌入式 FPGA (eFPGA) IP 領域的領導者 Achronix Semiconductor Corporation 與 RISC-V 工具和矽 IP 領域的行業領導者 Bluespec, Inc. 聯合宣布推出一系列支援 Linux 的 RISC-V 軟處理器,用於 Achronixster Speed 77t。 Bluespec 的 RISC-V 處理器可以整合到 Achronix 的2D片上網路 (NoC) 架構中,從而簡化整合,並使工程師能夠輕鬆地為 Achronix FPGA 設計添加可擴展的處理能力。此外,隨著電子系統日益專業化和應用化,對客製化解決方案的需求也不斷成長。 FPGA 允許設計人員實現自訂邏輯、介面和處理演算法,從而最佳化硬體以滿足特定的應用需求。這種客製化能力使得開發適用於航太、汽車、通訊和醫療等各行業的、高度最佳化且高效的電子系統成為可能。例如,英特爾於 2024 年 3 月發布了其最新的獨立 FPGA—Altera。 Altera FPGA 具有可自訂性,這使得與 PCI Express、CXL、乙太網路和 6G 無線網路等新興標準的整合更加便利。這些因素正在推動現場可編程閘陣列 (FPGA) 市場的收入成長。
資料中心部署的擴展
FPGA 用於資料中心的硬體加速,將運算密集型任務從 CPU 和 GPU 卸載。這些任務包括人工智慧整合、機器學習 (ML) 訓練、資料壓縮、加密和視訊轉碼。透過利用基於 FPGA 的加速器,資料中心可以顯著提升效能並縮短這些工作負載的處理時間。例如,NTT 在 2023 年 3 月的三個月內就在印度建造了六個資料中心,另有三個正在興建中。據 NTT 印度公司稱,這些資料中心約 70% 的等效容量已被預訂。此外,由於資料中心消耗大量能源,能源效率對營運商而言至關重要。對於某些工作負載,與 CPU 和 GPU 相比,FPGA 具有更高的運算效率和更低的功耗。透過利用 FPGA 卸載運算密集型任務,資料中心可以在保持高效能的同時降低整體電力消耗和營運成本。例如,Xilinx 於 2021 年 11 月推出了 Alveo U55C,這是一款面向資料中心工作負載的基於 FPGA 的加速卡。這些因素正在推動現場可編程閘陣列(FPGA)市場佔有率的擴大。
The global field programmable gate array (FPGA) market size reached USD 14.3 Billion in 2025. Looking forward, IMARC Group expects the market to reach USD 26.4 Billion by 2034, exhibiting a growth rate (CAGR) of 6.79% during 2026-2034. 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.
Growing Demand for Artificial Intelligence (AI) And Machine Learning (ML) solutions
FPGAs are increasingly utilized to accelerate AI and ML workloads. These workloads often involve large-scale matrix operations and parallel processing, which are well-suited to the parallel architecture of FPGAs. FPGAs can be programmed to perform specialized tasks such as matrix multiplication, convolutional neural network (CNN) operations, and inference acceleration, leading to significant performance gains compared to traditional CPUs or GPUs. For instance, in May 2021, Lattice Semiconductor, a low-power programmable leader, upgraded its sensAI solution stack to accelerate AI/ML application development on low-power Lattice FPGAs. New features include support for the Lattice Propel design environment for embedded processor-based development and the TensorFlow Lite deep-learning framework for on-device inference. The latest version incorporates the Lattice sensAI Studio design environment, which enables end-to-end ML model training, validation, and compilation. With sensAI 4.0, developers may utilize a simple drag-and-drop interface to create FPGA designs with a RISC-V CPU and a CNN acceleration engine, allowing for the quick and easy implementation of ML applications on power-constrained edge devices. In addition, FPGAs provide high computational efficiency with lower power consumption compared to CPUs and GPUs, especially for specific AI and ML tasks. This energy efficiency is critical for edge devices and battery-powered applications where power constraints are significant. FPGAs enable energy-efficient AI processing without compromising performance, making them attractive for applications such as IoT devices, wearables, and mobile devices. For instance, in May 2024, Lattice Semiconductor, the low-power programmable pioneer, announced that it would present its latest FPGA technology at the Embedded Vision Summit 2024. The Lattice booth will showcase industry-leading low power, tiny form factor FPGAs and application-specific solutions that enable powerful embedded vision, artificial intelligence, and connectivity capabilities. Lattice, along with a strong lineup of innovation partners, will demonstrate its most recent FPGA breakthroughs, allowing engineers to future-proof their designs for automotive, industrial, and security applications at the edge. These factors are positively influencing the field programmable gate array market forecast.
Increasing Complexity of Electronics Systems
The complexity of electronic systems is growing as they become more feature-rich and multifunctional. FPGAs offer unparalleled flexibility in design compared to traditional fixed-function integrated circuits. Designers can implement complex logic functions, signal processing algorithms, and interfaces within a single FPGA chip, reducing the need for multiple discrete components and simplifying system integration. For instance, in March 2024, Achronix Semiconductor Corporation, a leader in high-performance FPGAs and embedded FPGA (eFPGA) IP, and Bluespec, Inc., an industry leader in RISC-V tools and silicon IP, introduced a range of Linux-capable RISC-V soft processors for the Achronix Speedster 7t FPGA family. Bluespec's RISC-V processors can integrate into the Achronix 2D network-on-chip (NoC) architecture, simplifying integration and allowing engineers to simply add scalable processing to Achronix FPGA designs. Additionally, as electronic systems become more specialized and application-specific, there's a growing demand for customized solutions. FPGAs allow designers to tailor the hardware to specific application requirements by implementing custom logic, interfaces, and processing algorithms. This customization capability enables the development of highly optimized and efficient electronic systems for various industries, including aerospace, automotive, telecommunications, and healthcare. For instance, in March 2024, Intel launched its latest venture, named Altera, a standalone FPGA. Altera's FPGA allows customization that further allows the integration of upcoming standards such as PCl Express, CXL, ethernet, and 6G wireless. These factors are thereby bolstering the field programmable gate array market revenue.
Rising Deployment of Data Centers
FPGAs are used for hardware acceleration in data centers to offload compute-intensive tasks from CPUs and GPUs. This includes tasks like AI integration, machine learning (ML) training, data compression, encryption, and video transcoding. By leveraging FPGA-based accelerators, data centers can achieve significant performance improvements and reduce processing times for these workloads. For instance, in March 2023, NTT established six data centers in India over a period of three months, with three more on the way. According to NTT India, about 70% of the similar capacity in these data centers has already been reserved. In addition, data centers consume massive amounts of energy and energy efficiency is a critical concern for operators. FPGAs offer higher computational efficiency and lower power consumption compared to CPUs and GPUs for certain workloads. By using FPGAs to offload compute-intensive tasks, data centers can reduce overall power consumption and operating costs while maintaining high performance. For instance, in November 2021, Xilinx launched Alveo U55C, FPGA based accelerator card in order to target workloads in data centers. These factors are contributing to the field programmable gate array market share.
SRAM-based FPGA dominate the market
SRAM-based FPGA is highly flexible and allows designers to configure the device according to their specific requirements. Moreover, they 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 enable 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. For instance, in November 2023, GOWIN Semiconductor launched ARORA V SRAM FPGAs, that promises to boost 30% in performance along with 60% drop in power consumption as compared to previous series.
Low-range FPGA holds the biggest market share
According to the field programmable market overview, low-range FPGA 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. For instance, in October 2023, QuickLogic Corporation and YorChip partnered to develop a line of low cost and low power FPGA chiplets that can be used in various application including edge IoT and AI/ML.
IT and telecommunication accounts for the majority of the market share
As per the field programmable gate array market outlook, 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. For instance, in March 2024, Intel, a leading technology corporation, launched its latest venture, named Altera, a standalone FPGA. Altera's FPGA allows customization that further allows the integration of upcoming standards such as PCl Express, CXL, ethernet, and 6G wireless.
Asia-Pacific exhibits a clear dominance in the market
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. According to the field programmable market report, Asia Pacific accounted for the largest market share.
Asia Pacific is a major hub for IoT device manufacturing and deployment across various industries, including automotive, healthcare, agriculture, etc. FPGAs provide the flexibility and reconfigurability required for IoT devices to adapt to changing requirements, driving their adoption in the region. Countries in Asia Pacific are at the forefront of 5G network deployment. FPGAs are essential components in 5G infrastructure for tasks such as baseband processing, beamforming, and protocol handling. As 5G adoption accelerates, the demand for FPGAs in telecommunications equipment is expected to grow significantly. For instance, in February 2024, HCLSoftware collaborated with Viettel High Technologies, a subsidiary of Viettel group, company based in Vietnam, to launch a 5G UPF acceleration solution powered by Intel. Using Intel's Agilex 7 FPGA Technology-based SmartNIC/IPU/DPU Platforms and HCLSoftware's 5G User Plane Function (UPF) telecommunications software. The collaboration increases 5G network performance and reduces latency, ultimately improving subscriber user experiences.
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.