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市場調查報告書
商品編碼
1530653
到 2030 年現場可程式閘陣列(FPGA) 市場預測:按產品類型、配置類型、節點大小、技術、應用、最終用戶和地區進行的全球分析Field Programmable Gate Array (FPGA) Market Forecasts to 2030 - Global Analysis By Product Type (Flash-Based, Antifuse-Based, Static RAM-Based and Other Product Types), Configuration Type, Node Size, Technology, Application, End User and By Geography |
根據Stratistics MRC預測,2024年全球現場可程式閘陣列(FPGA)市場規模將達130億美元,預計2030年將達到251億美元,預測期內複合年成長率為11.5%。
現場可程式閘陣列(FPGA) 是設計用於在製造後由客戶或設計人員配置的積體電路。與傳統的固定功能晶片不同,它們透過可編程互連連接的可配置邏輯塊矩陣提供靈活性。這允許用戶為特定應用自訂硬體,從而實現快速原型製作、性能最佳化和適應性。
據 NTT India 稱,這些資料中心已預留了約 70% 的類似容量。
更多採用新興技術
市場上擴大採用新興技術正在推動重大進步。這些技術可實現更高的效能、更高的靈活性和更低的功耗,使其成為人工智慧、機器學習和物聯網等各種應用的理想選擇。高速介面、異質運算和增強的安全功能等先進技術的整合使它們走在技術創新的最前沿,以滿足現代數位系統和應用日益成長的需求。
設計和程式設計複雜性
設計和程式設計的複雜性來自於允許在硬體層級進行客製化的靈活架構。這種靈活性需要對硬體和軟體設計原理有深入的了解。工程師必須解決複雜的時序限制、資源分配和最佳化挑戰。此外,程式設計通常使用 HDL,並且需要專門的知識和經驗。整合和檢驗過程進一步增加了整體複雜性。
資料中心和高效能運算 (HPC) 的成長
資料中心和高效能運算的成長正在推動市場需求。這些可程式矽晶片提供高效處理複雜運算和大型資料集所需的高效能和低延遲。隨著資料中心不斷擴展以支援雲端運算和機器學習應用程式,我們提供可擴展的解決方案來加速工作負載、最佳化效能並降低資料處理和 HPC 環境的能耗,這已成為演進的重要組成部分。
與其他技術的競爭
該市場面臨其他技術的競爭,例如專用積體電路(ASIC)和圖形處理單元(GPU)。 ASIC 為特定任務提供更高的效能和更低的功耗,使其適合大量生產應用。 GPU 是人工智慧和機器學習的首選。這種競爭提供了靈活性、可重新配置性和縮短上市時間等優勢,並挑戰了不斷發展以繼續解決各種應用的挑戰。
COVID-19 大流行擾亂了全球供應鏈並導致生產和交貨延誤,對市場產生了重大影響。停工和限制導致製造業活動放緩,減少了汽車和工業等行業的需求。然而,疫情期間對資料中心和通訊基礎設施的需求增加,加速了這些領域的採用,部分抵消了負面影響。
預計馬達控制產業在預測期內將是最大的
預計馬達控制將成為預測期內最大的細分市場。其靈活性、即時處理和並行性使其成為精密馬達控制應用的理想選擇。這包括電動車、工業自動化、機器人、航太等。客製化馬達控制演算法和實施複雜控制策略的能力可提高效能、減少延遲並提高整體系統可靠性。
工業自動化產業預計在預測期內複合年成長率最高
透過採用可重新配置的硬體來提高營運效率和靈活性,預計工業自動化產業在預測期內將出現最高的複合年成長率。 FPGA 透過將複雜的演算法和介面直接整合到硬體中,實現製造過程中的即時處理和控制。該技術可靠且適應性強地最佳化製程控制、監控和資料處理等任務。
由於通訊、汽車和消費性電子產業的進步,預計北美在預測期內將佔據最大的市場佔有率。該地區受益於強勁的研發投資,推動了技術進步和市場擴張。對高效能運算和人工智慧應用的需求不斷成長,進一步推動了市場成長,使該地區成為開發和部署的關鍵中心。
預計亞太地區在預測期內將維持最高的複合年成長率。主要企業正在為各種應用提供創新的解決方案。從智慧型電視到遊戲機再到穿戴式設備,它們用於影像處理、訊號處理以及其他需要高性能和靈活性的功能。它對於各國大力投資的領域也至關重要,例如雷達系統、航空電子設備、衛星通訊和軍事應用。
According to Stratistics MRC, the Global Field Programmable Gate Array (FPGA) Market is accounted for $13.0 billion in 2024 and is expected to reach $25.1 billion by 2030 growing at a CAGR of 11.5% during the forecast period. A Field Programmable Gate Array (FPGA) is an integrated circuit designed to be configured by a customer or a designer after manufacturing. Unlike traditional fixed-function chips, they offer flexibility through a matrix of configurable logic blocks connected via programmable interconnects. This allows users to tailor the hardware for specific applications, enabling rapid prototyping, performance optimization, and adaptability.
According to NTT India, about 70% of the similar capacity in these data centers has already been reserved.
Increasing adoption of emerging technologies
The increasing adoption of emerging technologies in the market is driving significant advancements. These technologies enable higher performance, enhanced flexibility, and lower power consumption, making them ideal for various applications, including AI, machine learning and IoT. The integration of advanced technologies like high-speed interfaces, heterogeneous computing, and enhanced security features are propelling them to the forefront of innovation, catering to the growing demands of modern digital systems and applications.
Complexity of design and programming
The complexity of designing and programming stems from their highly flexible architecture, which allows for customization at the hardware level. This flexibility necessitates a deep understanding of both hardware and software design principles. Engineers must navigate intricate timing constraints, resource allocation, and optimization challenges. Additionally, programming often involves using HDLs, which require specialized knowledge and experience. The integration and verification processes further add to the overall complexity.
Data center and high-performance computing (HPC) growth
The growth of data centers and high-performance computing is driving the demand for the market. These programmable silicon chips provide the high performance, and low latency needed to handle complex computations and large data sets efficiently. As data centers expand to support cloud computing and machine learning applications, they offer scalable solutions for accelerating workloads, optimizing performance, and reducing energy consumption, making them crucial in the evolving landscape of data processing and HPC environments.
Competition from other technologies
The market faces competition from other technologies such as Application-Specific Integrated Circuits (ASICs) and Graphics Processing Units (GPUs). ASICs offer higher performance and lower power consumption for specific tasks, making them preferable for high-volume applications. GPUs are favored in artificial intelligence and machine learning. This competition challenges to continually evolve, offering advantages like flexibility, reconfigurability, and shorter time-to-market to remain relevant in diverse applications.
The COVID-19 pandemic significantly impacted the market by disrupting global supply chains and causing delays in production and delivery. Lockdowns and restrictions led to a slowdown in manufacturing activities, while demand in sectors like automotive and industrial declined. However, the increased need for data centers and telecommunication infrastructure during the pandemic accelerated adoption in these areas, partially offsetting the negative effects.
The motor control segment is expected to be the largest during the forecast period
The motor control is expected to be the largest during the forecast period. They offer flexibility, real-time processing, and parallelism, making them ideal for precise motor control applications. These include electric vehicles, industrial automation, robotics, and aerospace. The ability to customize motor control algorithms and implement complex control strategies enhances performance, reduces latency, and improves overall system reliability, driving their adoption in the market.
The industrial automation segment is expected to have the highest CAGR during the forecast period
The industrial automation segment is expected to have the highest CAGR during the forecast period employing reconfigurable hardware to enhance operational efficiency and flexibility. FPGAs enable real-time processing and control in manufacturing processes, integrating complex algorithms and interfaces directly into hardware. This technology optimizes tasks like process control, monitoring, and data processing with high reliability and adaptability, crucial for modern industrial environments seeking agile and scalable automation solutions.
North America is projected to hold the largest market share during the forecast period driven by advancements in telecommunications, automotive, and consumer electronics sectors. The region benefits from strong R&D investments, fostering technological advancements and market expansion. Increased demand for high-performance computing and artificial intelligence applications further propels market growth, positioning the region as a pivotal hub for development and deployment.
Asia Pacific is projected to hold the highest CAGR over the forecast period. Key players dominate with innovative solutions tailored for diverse applications. From smart TVs to gaming consoles and wearable devices, they are utilized for image processing, signal processing, and other functionalities that require high performance and flexibility. They are integral to radar systems, avionics, satellite communications, and military applications, sectors where countries are investing heavily.
Key players in the market
Some of the key players in Field Programmable Gate Array (FPGA) market include Synopsys, Inc., Achronix Semiconductor Corporation, SiliconBlue Technologies, Actel Corporation, Efinix Inc., Flex Logix Technologies, Inc., Silego Technology, Teledyne , Intel Corporation, Microchip Technology Inc., Cypress Semiconductor Corporation, NanoXplore Inc., Orange Tree Technologies, InPA Systems, Menta SAS, Rambus Inc., Gowin Semiconductor Corporation and Lattice Semiconductor.
In April 2023, Lattice Semiconductor announced the launch of the Lattice MachXO5T-NX. This new system control FPGA has been developed to address the growing system management design complexity challenges faced by customers.
In October 2023, Microchip Technology Inc. introduced a set of nine new technology and application-specific solution stacks, which support their mid-range FPGA and System-on-Chip (SoC) offerings.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.