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市場調查報告書
商品編碼
1896879
電子設計自動化軟體市場規模、佔有率和成長分析(按產品、部署方式、應用、最終用途和地區分類)—產業預測(2026-2033 年)Electronic Design Automation Software Market Size, Share, and Growth Analysis, By Product (Computer-aided Engineering, IC Physical Design and Verification), By Deployment, By Application, By End-use, By Region - Industry Forecast 2026-2033 |
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全球電子設計自動化軟體市場規模預計在 2024 年達到 133.2 億美元,從 2025 年的 145.5 億美元成長到 2033 年的 294.1 億美元,在預測期(2026-2033 年)內複合年成長率為 9.2%。
全球電子設計自動化 (EDA) 軟體市場正經歷強勁成長,這主要得益於市場對先進電子設備日益成長的需求以及人工智慧 (AI) 和物聯網 (IoT) 領域的創新。電子系統複雜性的不斷提升顯著增加了對系統級設計的需求。 EDA 軟體供應商正轉向提供更高抽象層次的解決方案,使設計人員能夠有效率地進行設計和檢驗,從而實現整個系統而非單一元件的設計。此外,將雲端運算整合到 EDA 環境中,可以遠端存取強大的運算資源,從而應對可擴展性挑戰並加強設計團隊之間的協作。這一市場格局的特點是晶片設計日益複雜、向雲端交付模式轉變以及 EDA 工具在傳統電子領域之外的各個領域的應用不斷擴展。
全球電子設計自動化軟體市場促進因素
對緊湊型、高性能電子設備日益成長的需求,推高了設計複雜性,並進一步增加了對先進電子設計自動化 (EDA) 軟體的需求。這類軟體對於應對設計複雜性至關重要,它為模擬、檢驗和最佳化提供了重要的工具。隨著電子設計變得越來越複雜,對更先進的 EDA 解決方案的需求也在成長,從而推動了市場顯著成長。因此,EDA 市場的擴張是必然的結果,也反映了技術格局的內在演變,因為各行業都在尋求創新並提升設備性能。
限制全球電子設計自動化軟體市場的因素
全球電子設計自動化 (EDA) 軟體市場面臨許多限制因素,主要原因在於這些專業工具的高成本。大量的研發投入使得 EDA 軟體價格昂貴,為難以取得最新技術的中小型企業和獨立設計師帶來了挑戰。這種價格壓力使得可負擔性和先進功能之間的平衡變得複雜,最終限制了市場擴張的潛力。因此,經濟壁壘造成了尖端設計工具的獲取障礙,阻礙了該行業的創新和成長。
全球電子設計自動化軟體市場趨勢
全球電子設計自動化 (EDA) 軟體市場正呈現人工智慧 (AI) 和機器學習 (ML) 技術融合的顯著趨勢。這項發展旨在透過最佳化晶片設計、自動化日常任務以及預測潛在的設計問題,來簡化和增強設計流程。採用 AI 驅動的 EDA 工具有望加快設計迭代速度並最大限度地減少設計錯誤,從而提升整體效能。隨著各組織致力於提高效率並加快複雜電子系統的上市速度,將 AI 和 ML 整合到 EDA 解決方案中將在塑造電子設計的未來方面發揮關鍵作用。
Global Electronic Design Automation Software Market size was valued at USD 13.32 Billion in 2024 and is poised to grow from USD 14.55 Billion in 2025 to USD 29.41 Billion by 2033, growing at a CAGR of 9.2% during the forecast period (2026-2033).
The Global Electronic Design Automation (EDA) software market is witnessing robust growth driven by the rising demand for advanced electronics and innovations in AI and IoT. As electronic systems become more intricate, the need for system-level design is increasing significantly. EDA software vendors are shifting towards solutions that enable designers to operate at higher abstraction levels, promoting streamlined design and verification processes for entire systems rather than isolated components. Furthermore, the integration of cloud computing into the EDA landscape allows remote access to powerful computational resources, addressing scalability challenges and enhancing collaboration among design teams. The market is characterized by heightened chip design complexities, a pivot towards cloud-based offerings, and the expanding application of EDA tools across various sectors beyond traditional electronics.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Electronic Design Automation Software 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 Electronic Design Automation Software Market Segments Analysis
Global Electronic Design Automation Software Market is segmented by Product, Deployment, Application, End-use and region. Based on Product, the market is segmented into Computer-aided Engineering (CAE), IC Physical Design and Verification, Printed Circuit Board and Multi-chip Module (PCB and MCM), Semiconductor Intellectual Property (SIP) and Services. Based on Deployment, the market is segmented into Cloud and On-premise. Based on Application, the market is segmented into Aerospace and Defense, Automotive, Healthcare, Industrial, Consumer Electronics and Others. Based on End-use, the market is segmented into Microprocessors & Controllers, Memory Management Unit (MMU) and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Electronic Design Automation Software Market
The rising demand for compact and high-performance electronic devices has resulted in increasingly complex designs, which in turn heightens the necessity for advanced electronic design automation (EDA) software. This software is essential for navigating design intricacies, offering vital tools for simulation, verification, and optimization. As the complexity of electronic designs escalates, there is an undeniable push for more sophisticated EDA solutions, fueling notable growth in the market. Consequently, as industries strive to innovate and enhance device functionalities, the expansion of the EDA market becomes a natural outcome, reflecting an essential evolution in the technology landscape.
Restraints in the Global Electronic Design Automation Software Market
The Global Electronic Design Automation (EDA) Software market faces notable constraints primarily due to the high costs associated with these specialized tools. The significant investment in research and development makes EDA software expensive, posing challenges for smaller firms and independent designers who may struggle to access the latest technologies. This pricing pressure complicates the ability to strike a balance between affordability and the inclusion of advanced features, ultimately restricting the expansion potential of the market. As a result, the financial barriers create a divide in access to cutting-edge design tools, hindering innovation and growth in the sector.
Market Trends of the Global Electronic Design Automation Software Market
The Global Electronic Design Automation (EDA) Software market is witnessing a significant trend towards the integration of artificial intelligence (AI) and machine learning (ML) technologies. This evolution aims to streamline and enhance the design process by optimizing chip design, automating routine tasks, and predicting potential design issues. The adoption of AI-driven EDA tools is projected to facilitate faster design iterations while minimizing design errors, thereby enhancing overall performance. As organizations increasingly focus on improving efficiency and accelerating time-to-market for complex electronic systems, the incorporation of AI and ML in EDA solutions is set to play a pivotal role in shaping the future of electronic design.