![]() |
市场调查报告书
商品编码
1530653
到 2030 年现场可程式闸阵列(FPGA) 市场预测:按产品类型、配置类型、节点大小、技术、应用、最终用户和地区进行的全球分析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 |
根据Stratistics MRC预测,2024年全球现场可程式闸阵列(FPGA)市场规模将达130亿美元,预计2030年将达到251亿美元,预测期内复合年增长率为11.5%。
现场可程式闸阵列(FPGA) 是设计用于在製造后由客户或设计人员配置的积体电路。与传统的固定功能晶片不同,它们透过可编程互连连接的可配置逻辑块矩阵提供灵活性。这允许用户为特定应用自订硬件,从而实现快速原型製作、性能优化和适应性。
据 NTT India 称,这些资料中心已预留了约 70% 的类似容量。
更多采用新兴技术
市场上越来越多地采用新兴技术正在推动重大进步。这些技术可实现更高的效能、更高的灵活性和更低的功耗,使其成为人工智慧、机器学习和物联网等各种应用的理想选择。高速介面、异质运算和增强的安全功能等先进技术的整合使它们走在技术创新的最前沿,以满足现代数位系统和应用日益增长的需求。
设计和程式设计复杂性
设计和程式设计的复杂性来自于允许在硬体层级进行客製化的灵活架构。这种灵活性需要对硬体和软体设计原理有深入的了解。工程师必须解决复杂的时序限制、资源分配和最佳化挑战。此外,程式设计通常使用 HDL,并且需要专门的知识和经验。整合和检验过程进一步增加了整体复杂性。
资料中心和高效能运算 (HPC) 的成长
资料中心和高效能运算的成长正在推动市场需求。这些可程式硅晶片提供高效处理复杂运算和大型资料集所需的高效能和低延迟。随着资料中心不断扩展以支援云端运算和机器学习应用程序,我们提供可扩展的解决方案来加速工作负载、优化效能并降低资料处理和 HPC 环境的能耗,这已成为演进的重要组成部分。
与其他技术的竞争
该市场面临其他技术的竞争,例如专用积体电路(ASIC)和图形处理单元(GPU)。 ASIC 为特定任务提供更高的效能和更低的功耗,使其适合大量生产应用。 GPU 是人工智慧和机器学习的首选。这种竞争提供了灵活性、可重新配置性和缩短上市时间等优势,并挑战了不断发展以继续解决各种应用的挑战。
COVID-19 大流行扰乱了全球供应链并导致生产和交货延误,对市场产生了重大影响。停工和限制导致製造业活动放缓,减少了汽车和工业等行业的需求。然而,疫情期间对资料中心和通讯基础设施的需求增加,加速了这些领域的采用,部分抵消了负面影响。
预计马达控制产业在预测期内将是最大的
预计马达控制将成为预测期内最大的细分市场。其灵活性、即时处理和并行性使其成为精密马达控制应用的理想选择。这包括电动车、工业自动化、机器人、航太等。客製化马达控制演算法和实施复杂控制策略的能力可提高效能、减少延迟并提高整体系统可靠性。
工业自动化产业预计在预测期内复合年增长率最高
透过采用可重新配置的硬体来提高营运效率和灵活性,预计工业自动化产业在预测期内将出现最高的复合年增长率。 FPGA 透过将复杂的演算法和介面直接整合到硬体中,实现製造过程中的即时处理和控制。该技术可靠且适应性强地优化製程控制、监控和资料处理等任务。
由于通讯、汽车和消费性电子产业的进步,预计北美在预测期内将占据最大的市场占有率。该地区受益于强劲的研发投资,推动了技术进步和市场扩张。对高效能运算和人工智慧应用的需求不断增长,进一步推动了市场成长,使该地区成为开发和部署的关键中心。
预计亚太地区在预测期内将维持最高的复合年增长率。主要企业正在为各种应用提供创新的解决方案。从智慧型电视到游戏机再到穿戴式设备,它们用于影像处理、讯号处理以及其他需要高性能和灵活性的功能。它对于各国大力投资的领域也至关重要,例如雷达系统、航空电子设备、卫星通讯和军事应用。
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.