全球衍生設計市場規模：按軟體解決方案、按服務、按部署模型、按地區和預測

衍生設計市場規模和預測

2024 年衍生設計市場規模價值 2.4498 億美元，預計到 2032 年將達到 5.2936 億美元，2026 年至 2032 年的複合年成長率為 10.11%。

衍生設計是一種迭代設計方法，它採用先進的演算法、人工智慧和機器學習，根據給定的參數和限制生成各種設計方案。此方法允許設計師嘗試不同的最優設計，從而提高效率、性能和創新能力。透過輸入目標和限制條件（例如材料、生產流程和成本限制），衍生設計可以產生可評估和開發的可行方案。該技術正在透過提供更具創新性和有效性的設計解決方案，改變建築、工程和產品開發等領域。

對複雜設計的精密製造的需求不斷成長，以及在提高車輛性能的同時減少尺寸的需求，正在推動汽車製造商擴大研發力度並利用衍生設計。

市場成長的動力來自於各個領域對人工智慧和機器學習技術的日益廣泛的使用，這使得設計方法能夠實現自動化，從而實現更快的迭代和更好的結果。

全球衍生設計市場動態

影響全球衍生設計市場的關鍵市場動態是：

關鍵市場促進因素

人工智慧和機器學習的進步：將人工智慧和機器學習融入設計流程是衍生設計業務的關鍵驅動力。這些技術實現了以往無法實現的最佳原創設計。設計師可以利用人工智慧和機器學習來擴展設計選項並提高生產力。

對輕量化、高效產品的需求日益成長：汽車、航太和家用電子電器產品等行業正在尋求在提高產品效率的同時減輕產品重量的方法。衍生設計能夠在保持強度和性能的同時製造輕量化結構。這種需求源自於對提高燃油效率、降低材料價格和滿足嚴格環境標準的渴望。因此，衍生設計正日益成為這些領域的首選解決方案。

智慧製造與工業 4.0 的興起：衍生設計市場受到向智慧製造的轉變和工業 4.0 原則的採用所驅動。這些計劃優先考慮製造流程中的自動化、資料交換和即時監控。衍生設計能夠實現自動化設計最佳化和快速原型製作，非常適合實現這些目標。對更智慧、更有效率的製造流程的需求正在推動衍生設計技術的應用。

注重永續性：各行各業對永續性的日益關注，推動了對環保設計解決方案的需求。衍生設計透過限制材料使用、減少廢棄物和最佳化能源消耗，有助於實現永續永續性目標。企業擴大利用衍生設計來打造符合監管標準的永續產品。對永續性的關注是衍生設計市場成長的關鍵驅動力。

主要問題

初始成本高昂：實施衍生設計技術需要在軟體、硬體和培訓方面進行大量的前期投資。對於缺乏必要資金的中小企業 (SME) 來說，高昂的成本可能會讓阻礙力。此外，投資報酬率 (ROI) 可能無法立即顯現，這使得企業難以證明這筆支出的合理性。成本方面的考量可能會阻礙衍生設計技術的採用。

複雜性和學習曲線：衍生設計運用先進的演算法和人工智慧，因此需要專業知識和技能才能有效發揮作用。工程師和設計師的學習曲線可能比較陡峭，需要大量的訓練才能熟練。這種複雜性可能會使生成式設計難以廣泛應用，因為企業可能難以獲得或培養合適的技能。此外，傳統設計方法的變革阻力也可能是個挑戰。

與現有系統整合：將衍生設計工具整合到現有的 CAD、PLM 和其他設計和製造系統中可能頗具挑戰性。由於相容性問題以及需要在不同的軟體系統之間輕鬆傳輸數據，可能會帶來技術挑戰。這些整合問題可能會導致效率低下和不必要的開支。確保順暢的互通性對於充分發揮衍生設計的優勢至關重要。

智慧財產權與資料安全：雲端基礎的衍生設計技術的使用引發了智慧財產權 (IP) 保護和資料安全的問題。由於資料外洩或未經授權的訪問，企業可能不願將敏感的設計資料儲存在外部伺服器上。有效的安全措施和對資料保護規則的遵守對於建立使用者信任至關重要。

主要趨勢

與人工智慧和機器學習的融合：衍生設計市場越來越依賴人工智慧和機器學習來改善設計流程。這些技術提供更複雜的最佳化和自動化，使設計師能夠快速測試更廣泛的方案。透過學習過去的創意，基於人工智慧的衍生設計工具會隨著時間的推移而變得更加高效，從而產生更聰明、更具創新性的解決方案。

各行各業的公告衍生設計正在從汽車和航太等傳統產業擴展到建築、消費品、醫療保健等領域。這一趨勢的驅動力源於該技術能夠最佳化設計，從而提高性能、永續性和成本效益。尋求創新和改進產品開發流程的產業越來越依賴衍生設計解決方案來獲得競爭優勢。

注重永續性：隨著企業努力減少對環境的影響，永續性在衍生設計領域變得越來越重要。衍生設計技術能夠創造出輕量化、材料高效的設計，進而減少廢棄物和能源消耗。這種對環保設計技術的關注與更廣泛的行業趨勢相契合，即永續性和法規遵從性，使衍生設計成為環保工作的可行選擇。

雲端基礎的解決方案：轉向雲端基礎的衍生設計解決方案是提升可存取性、協作性和可擴展性的關鍵趨勢。雲端系統允許設計師遠距工作並無縫交換工作成果，從而促進全球協作。這些技術無需大型本地基礎設施即可提供運算能力和儲存空間，使小型企業和新興企業更容易使用複雜的設計工具。

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目錄

第1章 引言

• 市場定義
• 市場區隔
• 調查方法

第2章執行摘要

• 主要發現
• 市場概覽
• 市場亮點

第3章市場概述

• 市場規模和成長潛力
• 市場趨勢
• 市場促進因素
• 市場限制
• 市場機會
• 波特五力分析

第4章衍生設計市場（依軟體解決方案）

• 拓樸最佳化
• 參數化設計工具
• 模擬與分析
• 演算法設計平台

第5章衍生設計市場（按服務）

• 諮詢和培訓
• 實施與整合

第6章衍生設計市場（依部署模型）

• 本地
• 雲端基礎

第7章區域分析

• 北美洲
• 美國
• 加拿大
• 墨西哥
• 歐洲
• 英國
• 德國
• 法國
• 義大利
• 亞太地區
• 中國
• 日本
• 印度
• 澳洲
• 拉丁美洲
• 巴西
• 阿根廷
• 智利
• 中東和非洲
• 南非
• 沙烏地阿拉伯
• 阿拉伯聯合大公國

第8章市場動態

• 市場促進因素
• 市場限制
• 市場機會
• COVID-19 市場影響

第9章 競爭態勢

• 主要企業
• 市場佔有率分析

第10章 公司簡介

• Autodesk Inc.
• Siemens
• Dassault Systeme SE
• Microsoft Corporation
• Bentley Systems
• Nvidia Corporation
• Adobe Inc.
• Google LLC
• OpenAI
• Dassault Systemes SE
• Siemens.

第11章 市場展望與機會

• 新興技術
• 未來市場趨勢
• 投資機會

第12章 附錄

• 簡稱列表
• 來源和參考文獻

Generative Design Market Size And Forecast

Generative Design Market size was valued at USD 244.98 Million in 2024 and is projected to reach USD 529.36 Million by 2032, growing at a CAGR of 10.11% from 2026 to 2032.

Generative design is an iterative design method that employs advanced algorithms, artificial intelligence, and machine learning to generate a variety of design options depending on certain parameters and limitations. This approach enables designers to experiment with a variety of optimum designs, thereby enhancing efficiency, performance, and innovation. By inputting goals and restrictions like as materials, production processes, and cost limits, generative design generates feasible alternatives that can be assessed and developed. This technology is transforming areas such as architecture, engineering, and product development by allowing for more innovative and effective design solutions.

The increased demand for sophisticated manufacturing with complicated designs, as well as the requirement to reduce size while improving vehicle performance, drives automotive manufacturers to expand R&D efforts and use generative design.

The increased use of AI and ML technologies across a wide range of sectors is driving market growth. These technologies enable the automation of design methods, resulting in faster iterations and better outcomes.

Global Generative Design Market Dynamics

The key market dynamics that are shaping the global Generative Design Market include:

Key Market Drivers:

Advancements in AI and Machine Learning: The incorporation of artificial intelligence and machine learning into design processes is a major driver of the generative design business. These technologies make it possible to create previously impossible, optimal, and inventive designs. Designers can expand their design options and increase productivity by leveraging AI and ML.

Increasing Demand for Lightweight and Efficient Products: Industries such as automotive, aerospace, and consumer electronics are looking for ways to reduce product weight while improving efficiency. Generative design allows for the production of lightweight structures while maintaining strength and performance. This need is driven by the desire to improve fuel economy, lower material prices, and comply with severe environmental standards. As a result, generative design is increasingly preferred solution in these sectors.

The Rise of Smart Manufacturing and Industry 4.0: The market for generative design is being propelled by the shift to smart manufacturing and the adoption of Industry 4.0 principles. These projects prioritize automation, data interchange, and real-time monitoring in manufacturing processes. Generative design ideally matches with these objectives by allowing for automated design optimization and rapid prototyping. The demand for smarter, more efficient manufacturing processes is propelling the use of generative design technology.

Growing emphasis on Sustainability: Many sectors are concerned about sustainability, which is boosting the demand for environmentally friendly design solutions. Generative design contributes to sustainability goals by limiting material use, decreasing waste, and optimizing energy consumption. Companies are increasingly using generative design to generate sustainable products while meeting regulatory standards. The focus on sustainability is a significant driver for the growth of the Generative Design Market.

Key Challenges:

High Initial Costs: Implementing generative design methods sometimes necessitates considerable upfront investments in software, hardware, and training. This hefty cost might be a deterrent for small and medium-sized businesses (SMEs) that lack the essential funds. Furthermore, the return on investment (ROI) may not be immediately obvious, making it difficult for businesses to justify their expense. Cost considerations can hinder the adoption of generative design technology.

Complexity and Learning Curve: Generative design uses advanced algorithms and AI, which necessitates specialized knowledge and skills to be effective. Engineers and designers may encounter a steep learning curve and require significant training to achieve proficiency. This intricacy can make widespread adoption difficult, since businesses may struggle to obtain or build the appropriate skills. Furthermore, resistance to change from traditional design methods can also pose a challenge.

Integration with Existing Systems: Integrating generative design tools into existing CAD, PLM, and other design and manufacturing systems can be difficult. Compatibility concerns and the need for easy data transmission between different software systems might lead to technological challenges. These integration issues can result in inefficiencies and unnecessary expenditures. Ensuring smooth interoperability is critical for reaping the full benefits of generative design.

Intellectual Property and Data Security: The usage of cloud-based generative design technologies poses issues of intellectual property (IP) protection and data security. Companies may be apprehensive about saving critical design data on external servers due to the possibility of data breaches or unwanted access. Building user trust requires effective security measures and compliance with data protection rules.

Key Trends:

Integration with AI and Machine Learning: The Generative Design Market is increasingly relying on artificial intelligence and machine learning to improve design processes. These technologies offer more sophisticated optimization and automation, allowing designers to swiftly test a wider range of options. AI-powered generative design tools can learn from previous ideas, improving their efficiency and effectiveness over time, resulting in wiser, more innovative solutions.

Adoption in Diverse Industries: Generative design is spreading outside conventional industries like automotive and aerospace to architecture, consumer goods, and healthcare. This movement is motivated by technology's capacity to optimize design for performance, sustainability, and cost-effectiveness. Industries looking to innovate and improve their product development processes are increasingly relying on generative design solutions to obtain a competitive advantage.

Focus on Sustainability: Sustainability is becoming increasingly important in the generative design sector, as organizations strive to reduce their environmental effect. Generative design methods enable the creation of lightweight, material-efficient designs that reduce waste and energy consumption. This emphasis on eco-friendly design approaches is consistent with broader industry trends toward sustainability and regulatory compliance, making generative design a viable option for green efforts.

Cloud-Based Solutions: The transition to cloud-based generative design solutions is an important trend that provides greater accessibility, collaboration, and scalability. Cloud systems enable designers to work remotely and exchange their work smoothly, promoting worldwide collaboration. These technologies also give computing power and storage without the need for a large on-premises infrastructure, making complex design tools more accessible to small businesses and startups.

Our reports include actionable data and forward-looking analysis that help you craft pitches, create business plans, build presentations and write proposals.

Global Generative Design Market Regional Analysis

Here is a more detailed regional analysis of the global Generative Design Market:

North America:

North America leads the Generative Design Market due to its strong technological infrastructure and increasing adoption of sophisticated technologies. Many of the region's leading technological corporations and startups fuel generative design innovation. This robust ecosystem promotes the development and integration of cutting-edge design solutions across several industries, ensuring that North America remains at the forefront of the industry.

The existence of big businesses in North America, such as Autodesk, IBM, and Microsoft, helps to cement the region's dominant position. These companies invest extensively in R&D, pushing the limits of generative design capabilities. Their enormous resources and skills encourage continual innovation and new uses of generative design technology, driving more organizations to use these solutions.

North America's established manufacturing and automotive industries use generative design to improve product development and innovation. The region's emphasis on modern manufacturing processes, such as 3D printing and additive manufacturing, complements the advantages of generative design. This convergence between industry needs and technology improvements is driving the adoption of generative design in North America.

Government funding and favorable policies also contribute significantly to North America's prominence in the generative design business. Initiatives fostering digital transformation and innovation urge firms to invest in cutting-edge design technologies. Furthermore, collaborations among academia, industry, and government agencies foster generative design research and application, reinforcing North America's market dominance.

Asia Pacific:

The Asia Pacific area is the fastest-growing market for generative design, thanks to its constantly increasing manufacturing industry. China, Japan, and South Korea are important manufacturing hubs for automobiles, airplanes, and consumer electronics. These industries are progressively using advanced design technology to improve productivity, save costs, and create new product designs. The region's emphasis on preserving a competitive advantage propels the adoption of generative design solutions.

The proliferation of smart manufacturing and Industry 4.0 efforts in Asia Pacific has accelerated the implementation of generative design. Governments across the area are investing extensively in digital transformation and sophisticated industrial technology. For example, China's "Made in China 2025" and Japan's "Society 5.0" projects seek to upgrade manufacturing capacities. These policies promote the integration of generative design into optimize production processes and develop high-quality products.

The Asia Pacific area is the fastest-growing market for generative design, thanks to its constantly increasing manufacturing industry. China, Japan, and South Korea are important manufacturing hubs for automobiles, airplanes, and consumer electronics. These industries are progressively using advanced design technology to improve productivity, save costs, and create new product designs. The region's emphasis on preserving a competitive advantage propels the adoption of generative design solutions.

The proliferation of smart manufacturing and Industry 4.0 efforts in Asia Pacific has accelerated the implementation of generative design. Governments across the area are investing extensively in digital transformation and sophisticated industrial technology. For example, China's "Made in China 2025" and Japan's "Society 5.0" projects seek to upgrade manufacturing capacities. These policies promote the integration of generative design to optimize production processes and develop high-quality products.

Global Generative Design Market: Segmentation Analysis

The Global Generative Design Market is Segmented on the basis of Software Solutions, Services, Deployment Models, and Geography.

Generative Design Market, By Software Solutions

• Topology Optimization
• Parametric Design Tools
• Simulation and Analysis
• Algorithmic Design Platforms

Based on Software Solutions, the market is bifurcated into Topology Optimization, Parametric Design Tools, Simulation and Analysis, and Algorithmic Design Platforms. Simulation and analysis dominate the Generative Design Market because they enable software to test millions of design variations quickly. This allows designers to select the best solution that fits their requirements (strength, weight, etc.) from a large pool of options. Essentially, it offers the data that generative design needs to work its magic.

Generative Design Market, By Services

• Consulting and Training
• Implementation and Integration

Based on Services, the market is bifurcated into Consulting and Training and Implementation and Integration. Implementation and Integration dominate the market because they help bridge the gap between software and real-world applications. These professionals assist firms in incorporating generative design into their existing design workflows, ensuring that the software communicates with existing engineering tools and production processes. This seamless integration is critical for businesses to actually use the designs provided by the program.

Generative Design Market, By Deployment Models

• On-Premises
• Cloud-Based

Based on Deployment Models, the market is segmented into On-Premises and Cloud-Based. Cloud-based generative design is the dominant segment because the cloud provides huge processing capacity, which is essential for executing complex generative design simulations. It offers scalability - businesses can easily alter their consumption based on project requirements. Cloud solutions benefit from frequent updates and innovation from providers. Finally, with the right security measures, cloud storage can be as secure as on-premises choices for many businesses.

Generative Design Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the World
• On the basis of Geography, the "Global Molecular Diagnostics Market" is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America is the dominant region owing to established technology clusters and a general commitment to innovation have positioned the region for early adoption of this cutting-edge instrument. Asia Pacific (APAC) is the fastest-growing region because This expansion is fueled by several factors. Government programs aggressively promote technical developments, fostering a fruitful environment for creativity. Furthermore, APAC's booming manufacturing base represents a large pool of potential users eager to capitalize on generative design's optimization capabilities.

Key Players

The "Global Generative Design Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Autodesk Inc., IBM Corporation, Microsoft Corporation, Bentley Systems, Nvidia Corporation, Adobe Inc., Google LLC, OpenAI, Dassault Systemes SE, and Siemens.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Key Developments

• In June 2024, Bentley Systems Incorporated announced the release of iTwin Activate. It is a 20-week collaborative development program designed to accelerate early-stage entrepreneurs in infrastructure software. It is arranged in cohorts according to the industrial field and is governed by Bentley iTwin Ventures. The $100 million enterprise venture capital fund fosters innovation through co-investment in businesses and developing corporations.
• In May 2024, Toyota said that it is upgrading seat structures to improve safety, comfort, and longevity. It focuses on design criteria like weight and size that human designers would not have addressed. It contributes to the creation of a modest yet lovely life and, over time, raises the level of living.
• In February 2024, NASA revealed that it was considering employing artificial intelligence to construct mission gear. The design developed using AI models seeks to be lightweight, able to withstand structural loads, and take less time to construct.

TABLE OF CONTENTS

1. INTRODUCTION

• Market Definition
• Market Segmentation
• Research Methodology

2. Executive Summary

• Key Findings
• Market Overview
• Market Highlights

3. Market Overview

• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis

4. Generative Design Market, By Software Solutions

• Topology Optimization
• Parametric Design Tools
• Simulation and Analysis
• Algorithmic Design Platforms

5. Generative Design Market, By Services

• Consulting and Training
• Implementation and Integration

6. Generative Design Market, By Deployment Models

• On-Premises
• Cloud-Based

7. Regional Analysis

• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Italy
• Asia-Pacific
• China
• Japan
• India
• Australia
• Latin America
• Brazil
• Argentina
• Chile
• Middle East and Africa
• South Africa
• Saudi Arabia
• UAE

8. Market Dynamics

• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market

9. Competitive Landscape

• Key Players
• Market Share Analysis

10. Company Profiles

• Autodesk Inc.
• Siemens
• Dassault Systeme SE
• Microsoft Corporation
• Bentley Systems
• Nvidia Corporation
• Adobe Inc.
• Google LLC
• OpenAI
• Dassault Systemes SE
• Siemens.

11. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

12. Appendix

• List of Abbreviations
• Sources and References