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市場調查報告書
商品編碼
2106648
電子設計自動化 (EDA) 市場預測至 2034 年—按產品、部署模式、設計類型、設計階段、應用、最終用戶和地區分類的全球分析Electronic Design Automation Market Forecasts to 2034 - Global Analysis By Product, Deployment Mode, Design Type, Design Stage, Application, End User, and By Geography |
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根據 Stratistics MRC 的數據,預計到 2026 年,全球電子設計自動化 (EDA) 市場規模將達到 226 億美元,並在預測期內以 11.6% 的複合年成長率成長,到 2034 年將達到 545 億美元。
電子設計自動化 (EDA) 指的是用於電子系統(包括積體電路、印刷電路基板、系統晶片(SoC)、現場可程式閘陣列(FPGA) 和電子系統)的設計、模擬、檢驗和製造的軟體工具和服務。這些工具支援整個設計生命週期,從系統級設計、前端設計、後端設計、設計檢驗到最終的製造驗收。該市場的目標客戶包括半導體公司、電子產品製造商、無晶圓廠設計公司和研究機構。半導體設計日益複雜、先進製程節點的廣泛應用、人工智慧和高效能運算晶片需求的成長以及整個產業對電子元件的日益普及,是推動各地區市場成長的主要因素。
半導體和電子設計日益複雜
半導體裝置和電子系統日益成長的複雜性是EDA市場的主要驅動力。 5nm以下的先進製程節點、異質整合以及複雜的晶片架構,都需要能夠處理數十億個電晶體和複雜互連的精密設計和檢驗工具。人工智慧、汽車和高效能運算應用領域向特定領域架構的轉變,催生了對專用設計流程的需求。隨著電子系統整合多種功能和領域,系統級設計要求也不斷擴展。隨著每一代技術的發展,設計複雜性持續增加,對先進EDA工具和服務的需求也不斷成長,市場在所有應用領域持續穩定擴張。
EDA產業的高昂授權成本和市場集中度
EDA工具許可的高昂成本以及大型供應商主導的集中式市場結構是限制市場發展的主要因素。一套完整的EDA設計流程需要在工具許可、維護和支援方面投入大量資金。中小企業和新創公司可能難以承擔實施全套高級工具的成本。 EDA產業的整合會削弱競爭並限制定價柔軟性。工具的採用可能會導致對特定供應商的依賴,進而影響柔軟性和議價能力。這些成本和產業結構因素會限制EDA的普及,尤其是在新興企業和對成本敏感的地區。
將人工智慧和機器學習整合到設計流程中
人工智慧 (AI) 和機器學習與 EDA 工具的日益融合,為市場拓展帶來了巨大的機會。 AI 驅動的設計工具能夠實現自動化最佳化,提升設計質量,並加快產品上市速度。機器學習演算法可輔助進行佈線、佈局、時序分析和設計空間探索。 AI 驅動的檢驗能夠加速模擬並縮短偵錯時間。用於 RTL 程式碼生成和文件編制的生成式 AI 也正在興起。隨著 AI 能力的提升和 EDA 廠商不斷整合智慧功能,生產力的提高和新功能的加入正在擴大市場佔有率,最終提升設計效率和效能。
開放原始碼與內部開發工具之間的競爭
開放原始碼EDA工具的日益普及以及企業內部設計自動化解決方案的開發,對商業EDA市場構成了重大威脅。開放原始碼工具,例如OpenROAD、Yosys以及各種檢驗框架,為特定設計任務提供了免費的替代方案。大型半導體公司會針對特定應用開發自己的工具。新興企業可能會選擇開放原始碼解決方案來降低成本。這種競爭可能會限制某些細分市場的成長,並可能迫使商業供應商透過進階功能和生產力提升來證明其價值。
新冠疫情對EDA市場產生了重大影響。初期,市場受到的衝擊包括顧客參與度降低、專案延期以及供應鏈挑戰。然而,疫情也加速了家用電子電器、電腦和通訊產業對半導體的需求。半導體公司持續投資EDA,以支援產品開發和技術藍圖。遠距辦公的廣泛普及加速了雲端EDA解決方案的採用。即使在疫情結束後,半導體需求和設計活動依然強勁,企業持續投資EDA工具,用於先進節點開發和新型晶片結構。此次危機再次凸顯了電子設計能力的戰略重要性。
在預測期內,「設計檢驗」細分市場預計將佔據最大的市場佔有率。
預計在預測期內,設計檢驗領域將佔據最大的市場佔有率,這主要得益於半導體設計日益複雜以及對全面檢驗以確保功能準確性和可靠性的需求不斷成長。設計檢驗在整個設計工作中佔據重要地位,對於複雜的晶片而言,檢驗團隊的人數超過設計團隊的情況並不少見。該領域涵蓋模擬、形式檢驗、模擬和原型製作工具,這些工具對於在製造前識別設計錯誤至關重要。隨著人工智慧晶片、汽車電子產品和安全關鍵型應用的日益複雜,檢驗要求也變得更加嚴格。隨著設計變得越來越複雜,品質標準不斷提高,設計檢驗在設計階段仍保持最大的市場佔有率。
預計在預測期內,晶片系統(SoC) 設計領域將呈現最高的複合年成長率。
在預測期內,晶片系統(SoC) 設計領域預計將呈現最高的成長率,這主要得益於智慧型手機、汽車電子、人工智慧加速器和物聯網周邊設備,因此需要在設計、檢驗和製造簽核等各個階段使用全面的 EDA 工具。該領域受益於人工智慧、汽車和邊緣運算應用對專用 SoC 日益成長的需求。隨著 SoC 變得越來越複雜,對先進設計、檢驗和實現工具的需求也不斷成長。隨著 SoC 應用範圍的擴大,該領域正經歷最快的成長。
在整個預測期內,北美地區預計將保持最大的市場佔有率,這得益於主要EDA供應商的存在、活躍的半導體設計活動以及大量的技術投資。美國憑藉眾多EDA供應商和領先的半導體公司,正在推動該地區的成長。強大的技術生態系統,包括研究型大學和研發中心,正在推動持續進步。人工智慧、資料中心和汽車應用領域的晶片設計投資也十分活躍。憑藉成熟的供應商和大量的設計投資,北美地區將繼續保持其市場主導地位。
在預測期內,亞太地區預計將呈現最高的複合年成長率,這主要得益於半導體設計的快速擴張、中國和印度晶片設計活動的活性化以及無晶圓廠半導體公司的崛起。該地區龐大且持續成長的電子製造業基礎正在催生EDA工具的需求。中國國內對半導體設計和製造的投資正在支撐市場成長。在印度,晶片設計服務產業的擴張正在創造對EDA的需求。政府為促進國內晶片發展而採取的措施正在加速EDA的普及應用。隨著半導體設計活動在全部區域的擴展,亞太地區正經歷全球EDA市場最快的成長。
According to Stratistics MRC, the Global Electronic Design Automation Market is accounted for $22.6 billion in 2026 and is expected to reach $54.5 billion by 2034 growing at a CAGR of 11.6% during the forecast period. Electronic Design Automation (EDA) refers to the software tools and services used for designing, simulating, verifying, and manufacturing electronic systems, including integrated circuits, printed circuit boards, systems-on-chip, field-programmable gate arrays, and electronic systems. These tools support the entire design lifecycle across system-level design, front-end design, back-end design, design verification, and manufacturing sign-off stages. The market serves semiconductor companies, electronics manufacturers, fabless design houses, and research institutions. Growing complexity of semiconductor designs, increasing adoption of advanced process nodes, rising demand for AI and high-performance computing chips, and expanding electronics content across industries are key drivers of market expansion across all regions.
Increasing complexity of semiconductor and electronic designs
The growing complexity of semiconductor devices and electronic systems is a primary driver for the EDA market. Advanced process nodes below 5nm, heterogeneous integration, and complex chiplet architectures require sophisticated design and verification tools that can handle billions of transistors and intricate interconnections. The shift toward domain-specific architectures for AI, automotive, and high-performance computing applications creates demand for specialized design flows. System-level design requirements are expanding as electronic systems integrate multiple functions and domains. As design complexity continues increasing with each technology generation, demand for advanced EDA tools and services grows, sustaining strong market expansion across all application areas.
High licensing costs and consolidation in the EDA industry
The significant costs of EDA tool licenses and the concentrated market structure dominated by major vendors represent a major restraint for the market. Comprehensive EDA design flows require substantial investment in tool licenses, maintenance, and support. Smaller companies and startups may struggle to afford full suites of advanced tools. The consolidation of the EDA industry reduces competition and may limit pricing flexibility. Tool adoption creates dependency on specific vendors, affecting flexibility and negotiating power. These cost and industry structure factors may limit EDA adoption, particularly among emerging companies and in cost-sensitive regions.
Integration of AI and machine learning in design flows
The growing integration of artificial intelligence and machine learning into EDA tools presents significant opportunities for market expansion. AI-powered design tools enable automated optimization, improved design quality, and reduced time-to-market. Machine learning algorithms assist in routing, placement, timing analysis, and design space exploration. AI-assisted verification accelerates simulation and reduces debugging time. Generative AI for RTL code generation and documentation is emerging. As AI capabilities advance and EDA vendors incorporate intelligent features, productivity improvements and new capabilities capture growing market share, enabling enhanced design efficiency and performance.
Competition from open-source and in-house tools
The increasing availability of open-source EDA tools and development of in-house design automation solutions poses significant threats to the commercial EDA market. Open-source tools including OpenROAD, Yosys, and various verification frameworks offer free alternatives for certain design tasks. Large semiconductor companies develop proprietary tools for specialized applications. Emerging companies may choose open-source solutions to reduce costs. This competition may limit market growth in certain segments and pressure commercial vendors to demonstrate value through advanced capabilities and productivity gains.
The COVID-19 pandemic had a significant impact on the EDA market. Initial disruptions included reduced customer engagement, project delays, and supply chain challenges. However, the pandemic accelerated demand for semiconductors across consumer electronics, computing, and telecommunications. Semiconductor companies maintained EDA investment to support product development and technology roadmaps. Remote work accelerated adoption of cloud-based EDA solutions. Post-pandemic, semiconductor demand and design activity have remained strong, with continued investment in EDA tools for advanced node development and new chip architectures. The crisis reinforced the strategic importance of electronic design capabilities.
The Design Verification segment is expected to be the largest during the forecast period
The Design Verification segment is expected to account for the largest market share during the forecast period, driven by the increasing complexity of semiconductor designs and the growing need for comprehensive verification to ensure functional correctness and reliability. Design verification consumes a substantial portion of the overall design effort, with verification teams often outnumbering design teams for complex chips. The segment includes simulation, formal verification, emulation, and prototyping tools essential for identifying design errors before manufacturing. Growing complexity of AI chips, automotive electronics, and safety-critical applications intensifies verification requirements. As designs become more complex and quality standards rise, design verification maintains the largest design stage market share.
The System-on-Chip (SoC) Design segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the System-on-Chip (SoC) Design segment is predicted to witness the highest growth rate, fueled by the increasing integration of multiple functions onto single chips for smartphones, automotive electronics, AI accelerators, and IoT devices. SoC designs combine processors, memory, accelerators, and peripherals, requiring comprehensive EDA tools across design, verification, and manufacturing sign-off stages. The segment benefits from growing demand for specialized SoCs for AI, automotive, and edge computing applications. Increasing SoC complexity drives demand for advanced design, verification, and implementation tools. As SoC adoption expands across applications, this segment delivers the fastest application growth.
During the forecast period, the North America region is expected to hold the largest market share, supported by the presence of major EDA vendors, strong semiconductor design activity, and significant technology investment. The United States leads regional growth with substantial EDA vendor presence and major semiconductor companies. Strong technology ecosystem including research universities and innovation centers drives continuous advancement. High investment in chip design for AI, data center, and automotive applications. With established vendor presence and significant design investment, North America maintains its dominant market position.
Over the forecast period, the Asia-Pacific region is anticipated to exhibit the highest CAGR, driven by rapid semiconductor design expansion, growing chip design activity in China and India, and increasing fabless semiconductor companies. The region's large and growing electronics manufacturing base creates demand for EDA tools. China's investment in domestic semiconductor design and manufacturing supports market growth. India's expanding chip design services sector creates EDA demand. Government initiatives promoting domestic chip development are accelerating adoption. As semiconductor design activity expands across the region, Asia Pacific delivers the fastest EDA market growth globally.
Key players in the market
Some of the key players in Electronic Design Automation include Synopsys, Inc., Cadence Design Systems, Inc., Siemens Digital Industries Software, ANSYS, Inc., Keysight Technologies, Inc., Altium Limited, Zuken Inc., Silvaco Group, Inc., Empyrean Technology Co., Ltd., Aldec, Inc., Primarius Technologies Co., Ltd., eInfochips (Arrow Electronics), Dassault Systemes SE, Xpeedic Technology Co., Ltd., and EasyEDA Technology Co., Ltd.
In April 2026, Siemens announced an expanded collaboration with TSMC at the 2026 Technology Symposium to deliver AI-driven EDA automation, including automated Design Rule Check (DRC) fixes using its Fuse(TM) EDA AI System and Solido Simulation certification across TSMC's advanced A14 and N2P nodes.
In February 2026, Cadence completed the integration of its acquisition of Hexagon's Design & Engineering software business, expanding its capabilities into Physical AI, multi-body dynamics, and complex electromechanical design analysis.
In January 2026, Synopsys advanced its agentic AI strategy by expanding its Synopsys.ai full-stack EDA suite, enabling autonomous multi-die multi-physics optimization and automated physical verification for sub-2nm designs.
Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.