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市場調査レポート
商品コード
1724900
フィールド・プログラマブル・ゲート・アレイ市場規模、シェア、成長分析、構成別、ノードサイズ別、技術別、業界別、地域別 - 産業予測、2025-2032年Field Programmable Gate Array Market Size, Share, and Growth Analysis, By Configuration (Low-end FPGA, Mid-range FPGA), By Node-Size (<=16 nm, 20-90 nm), By Technology, By Vertical, By Region - Industry Forecast 2025-2032 |
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フィールド・プログラマブル・ゲート・アレイ市場規模、シェア、成長分析、構成別、ノードサイズ別、技術別、業界別、地域別 - 産業予測、2025-2032年 |
出版日: 2025年05月10日
発行: SkyQuest
ページ情報: 英文 195 Pages
納期: 3~5営業日
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フィールド・プログラマブル・ゲート・アレイ(FPGA)の世界市場規模は、2023年に124億米ドルと評価され、2024年の138億米ドルから2032年には325億米ドルに成長し、予測期間(2025-2032年)のCAGRは11.3%で成長する見通しです。
フィールド・プログラマブル・ゲート・アレイの世界市場は、通信、防衛、自動車、データセンターなどの分野での採用が増加し、力強い成長を遂げています。フィールド・プログラマブル・ゲート・アレイは、高い計算密度、再プログラム可能性、低消費電力が支持され、ディープパケットインスペクションやネットワークセキュリティなどのアプリケーションに最適です。エッジ・コンピューティングとAIワークロードへのシフトは、リアルタイム・データ分析におけるフィールド・プログラマブル・ゲート・アレイの使用をさらに強化しています。注目すべき進歩としては、QuickLogic社の低消費電力アプリケーション向けPolarPro 3 FPGAの導入や、AMD社のネットワーク・セキュリティとAI処理を強化するVersal Premium VP1902などがあります。Intelのような大手企業による継続的な研究開発投資と、5G、自律走行車、産業オートメーションにおける技術革新の推進により、市場は大きな成長を遂げようとしています。
Global Field Programmable Gate Array Market size was valued at USD 12.4 billion in 2023 and is poised to grow from USD 13.8 billion in 2024 to USD 32.5 billion by 2032, growing at a CAGR of 11.3% during the forecast period (2025-2032).
The global market for field-programmable gate arrays (FPGAs) is witnessing robust growth, spurred by their rising adoption across sectors like telecommunications, defense, automotive, and data centers. FPGAs are favored for their high computational density, reprogrammability, and low power consumption, making them ideal for applications such as deep packet inspection and network security. The shift towards edge computing and AI workloads is further intensifying their use in real-time data analytics. Noteworthy advancements include QuickLogic Corporation's introduction of the PolarPro 3 FPGA for low-power applications and AMD's Versal Premium VP1902 for enhanced network security and AI processing. With ongoing R&D investments from major players like Intel and the push for innovations in 5G, autonomous vehicles, and industrial automation, the market is set for significant growth.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Field Programmable Gate Array market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Field Programmable Gate Array Market Segments Analysis
Global Field Programmable Gate Array Market is segmented by Configuration, Node-Size, Technology, Vertical and region. Based on Configuration, the market is segmented into Low-end FPGA, Mid-range FPGA and High-end FPGA. Based on Node-Size, the market is segmented into <=16 nm, 20-90 nm and 90 nm. Based on Technology, the market is segmented into SRAM, Flash, Antifuse, By Size:, FPGA and eFPGA. Based on Vertical, the market is segmented into Telecommunications, Consumer Electronics, Data Center & Computing, Military & Aerospace, Industrial, Automotive, Healthcare, Multimedia and Broadcasting. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Field Programmable Gate Array Market
The Global Field Programmable Gate Array (FPGA) market is experiencing significant growth driven by the rising complexity of AI workloads, which necessitate high-speed, energy-efficient computing solutions within data centers. FPGAs are being increasingly utilized to accelerate deep learning inference and facilitate AI model training, providing the necessary flexibility and real-time adaptability that modern applications demand. Notably, in 2024, Microsoft Azure expanded its integration of Intel Agilex FPGAs to improve cloud-based AI inference, enhancing the performance of AI-driven applications, such as speech recognition and recommendation systems. This trend underscores the integral role FPGAs play in advancing AI technologies and optimizing computational efficiency.
Restraints in the Global Field Programmable Gate Array Market
The Global Field Programmable Gate Array (FPGA) market faces certain restraints primarily due to the specialized knowledge required for programming FPGAs. Unlike Graphics Processing Units (GPUs), which benefit from widely adopted software libraries like CUDA, FPGAs necessitate proficiency in hardware description languages (HDLs). This steep learning curve, coupled with the associated high development costs, hampers widespread adoption. For instance, a mid-sized AI startup in 2024 encountered significant challenges while attempting to incorporate FPGAs into its AI solutions. The scarcity of qualified FPGA developers resulted in delays in deployment and escalated research and development expenses, underscoring the barriers to entry in this market.
Market Trends of the Global Field Programmable Gate Array Market
The Global Field Programmable Gate Array (FPGA) market is experiencing significant growth, driven by the integration of FPGAs in AI-powered autonomous systems. As industries increasingly adopt AI-driven technologies, such as drones and autonomous vehicles, FPGAs are emerging as critical components due to their reconfigurability and efficient power consumption. For instance, Tesla's recent integration of Xilinx FPGAs into its Full Self-Driving (FSD) system in 2024 exemplifies the trend, enhancing real-time AI inference for object detection and navigation. This ongoing demand for high-performance computing in autonomous applications is expected to propel the FPGA market forward, reflecting an expanding scope for innovation and investment.