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市場調查報告書
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2030293

衍生設計市場－全球產業規模、佔有率、趨勢、機會、預測：按組件、部署模式、應用、地區和競爭格局分類，2021-2031年

Generative Design Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Deployment Mode, By Application, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球衍生設計市場預計將從 2025 年的 35.8 億美元成長到 2031 年的 89.6 億美元，複合年成長率為 16.52%。

這種基於先進演算法的計算方法利用人工智慧，根據特定目標和參數自主生成大量最佳化設計方案。市場成長主要受以下因素驅動：對創新設計方案日益成長的需求、機器學習和人工智慧的普及，以及最大限度減少材料浪費和縮短產品開發週期的迫切需求。此外，人們對資源效率和永續性的日益關注，也加速了該技術在多個產業高性能輕量化零件製造領域的應用。

市場概覽
預測期 2027-2031
市場規模：2025年 35.8億美元
市場規模：2031年 89.6億美元
複合年成長率：2026-2031年 16.52%
成長最快的細分市場 產品設計與開發
最大的市場 亞太地區

德國工程師協會 (VDI) 於 2025 年 7 月發布的一項調查顯示，75% 的受訪工程師認為生成式人工智慧將顯著提高他們的日常工作效率。然而，未來市場成長可能面臨的一大障礙是，如何將這些先進的生成式設計工具整合到現有的工程工作流程中，因為許多公司仍然嚴重依賴傳統的電腦輔助設計 (CAD) 方法。

市場促進因素

全球衍生設計市場正因人工智慧 (AI) 和機器學習的持續進步而發生翻天覆地的變化。這使得演算法能夠自主探索海量的設計可能性並找到最優解決方案。透過理解性能要求、製造限制和材料屬性等複雜目標和參數，這些平台可以快速產生大量設計方案。這顯著降低了對傳統迭代原型製作和人工設計流程的依賴。 2026 年 4 月，《今日工業》報告了 SimScale 對全球高級工程領導者的調查，調查發現，與使用標準方法的公司相比，採用 AI 驅動工作流程的公司評估的設計方案數量超過三倍，從而加速了各個領域的創新和高度最佳化零件的開發。

此外，縮短產品上市時間和加速產品開發的需求是推動生成式設計應用的主要動力。快速迭代、測試和將產品推向市場的能力，在競爭激烈的行業中提供了決定性的優勢。透過提案可製造的設計方案並自動化日常任務，生成式設計應用顯著縮短了設計週期，使企業能夠更快地響應消費者需求和不斷變化的市場動態。福布斯2025年3月的報告指出，人工智慧驅動的系統可以將概念開發時間縮短高達70%，而這種加速對於維持創新和競爭力至關重要。因此，截至2025年3月，人工智慧在產品設計領域的市場規模估計已達158.4億美元。

市場挑戰

阻礙全球衍生設計市場成長的一大障礙在於如何將這些先進工具整合到現有的工程流程中。許多公司仍然嚴重依賴傳統的電腦輔助設計（CAD）方法，嚴重阻礙了衍生設計技術的順利應用。這種持續的依賴需要投入大量資源和精力來重新培訓員工和維修現有系統，導致這些創新設計方法的過渡緩慢。

這種整合的難度直接阻礙了市場擴張，因為它推高了初始成本並延長了實施所需時間。例如，Digital Engineering 24/7 在 2025 年進行的一項調查發現，只有 12% 的受訪工程專業人員正在積極使用衍生設計工具。儘管這項技術優勢顯而易見，但如此低的採用率凸顯了企業在試圖擺脫傳統設計框架時所面臨的困境。由於衍生設計常常受到阻礙或延誤，這限制了市場成長的潛力。

市場趨勢

一個值得關注的行業趨勢是，基於雲端的衍生設計平台的使用日益普及，這些平台滿足了可擴展運算能力的基本需求。這些雲端解決方案使更多企業能夠使用強大的運算資源和演算法，即使是小規模企業也能在無需巨額初始基礎設施投資的情況下利用尖端設計工具。這種更廣泛的訪問促進了廣泛的實驗和應用，從而能夠快速最佳化和迭代複雜的設計。 2025年9月，TD Securities在《2025年GenAI公有雲支出調查》中報告稱，75%的受訪北美IT負責人已經部署了基於雲端的生成式AI應用程式。雲端技術的廣泛應用顯著簡化了與現有數位系統的整合，並加速了整個產品開發流程。

另一個大趨勢是衍生設計與積層製造之間日益深化的合作，二者強大的綜效正在改變傳統的生產模式。生成式演算法擅長設計高度最佳化且複雜的形狀，而這些形狀是傳統製造技術無法實現的。積層製造（通常稱為 3D 列印）能夠將這些複雜的設計變為現實，生產出高性能、輕量化的零件，同時最大限度地減少材料浪費。這種結合在對性能要求極高以及需要高度客製化的行業中尤其具有變革性意義。為了象徵這項產業變革，通用電氣航空航太公司宣布將於 2026 年 3 月投資 1.15 億美元，以加強其位於俄亥俄州辛辛那提總部的先進金屬 3D 列印業務。這體現了該公司致力於利用這種整合方法來提高製造效率和產品品質的堅定決心。

目錄

第1章概述

第2章：調查方法

第3章執行摘要

第4章：客戶心聲

第5章：全球衍生設計市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 按組件（解決方案和服務）
    • 依部署方式（雲端和本機部署）
    • 依應用領域（產品設計與開發、成本最佳化）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美衍生設計市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國別分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲衍生設計市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國別分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區衍生設計市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國別分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東與非洲衍生設計市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東與非洲：國別分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲衍生設計市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國別分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進因素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 近期趨勢

第13章：全球衍生設計市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商的議價能力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • Autodesk, Inc.
  • Siemens Aktiengesellschaft
  • Dassault Systemes SE
  • PTC Inc.
  • Autodesk Technology Centers, LLC
  • Altair Engineering Inc.
  • ANSYS, Inc.
  • Bentley Systems, Incorporated
  • MSC Software Corporation
  • Hexagon AB

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 3939

The Global generative design market is anticipated to expand from USD 3.58 billion in 2025 to USD 8.96 billion by 2031, reflecting a compound annual growth rate (CAGR) of 16.52%. This advanced, algorithm-based computational approach uses artificial intelligence to autonomously generate numerous optimized design alternatives according to specific goals and parameters. The market's growth is heavily fueled by a rising need for innovative design solutions, the widespread adoption of machine learning and AI, and the critical need to minimize material waste and shorten product development cycles. Additionally, an increasing focus on resource efficiency and sustainability is accelerating its implementation for manufacturing high-performance, lightweight parts across multiple industries.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 3.58 Billion
Market Size 2031USD 8.96 Billion
CAGR 2026-203116.52%
Fastest Growing SegmentProduction Design & Development
Largest MarketAsia Pacific

A July 2025 study released by the Verein Deutscher Ingenieure (VDI) revealed that 75% of engineers surveyed expect generative AI to deliver substantial efficiency improvements in their daily operations. However, a major obstacle that may slow down future market growth is the difficult process of incorporating these advanced generative design tools into established engineering workflows, as many companies still depend heavily on conventional computer-aided design methods.

Market Driver

The Global generative design market is being profoundly reshaped by continuous improvements in artificial intelligence and machine learning, which allow algorithms to independently navigate vast design possibilities to find the most optimal solutions. By understanding intricate objectives and parameters like performance needs, manufacturing limits, and material characteristics, these platforms can quickly produce a multitude of design variations. This drastically lowers the reliance on traditional iterative prototyping and manual design processes. In April 2026, Industry Today reported on a SimScale survey of global senior engineering leaders, revealing that companies utilizing AI-driven workflows assessed over three times the number of design alternatives compared to those using standard methods, thereby promoting innovation and the development of highly optimized parts across various sectors.

Furthermore, the push to decrease time-to-market and speed up product development is a major catalyst for the adoption of generative design. The capacity to quickly iterate, test, and formulate products provides a crucial edge in fiercely competitive industries. By suggesting designs that are ready for manufacturing and automating routine duties, generative design applications significantly compress design schedules, enabling businesses to react faster to consumer demands and shifting market dynamics. A March 2025 Forbes report highlighted that AI-powered systems have the potential to cut concept development times by as much as 70%, an acceleration vital for sustaining an innovative and competitive edge. Consequently, the overarching market for AI in product design reached an estimated $15.84 billion in March 2025.

Market Challenge

A major obstacle hindering the growth of the global generative design market is the complicated task of merging these sophisticated tools into existing engineering procedures. A large number of companies still lean heavily on conventional computer-aided design methods, which presents a significant barrier to smoothly adopting generative design technologies. This deep-rooted dependence requires substantial investments in resources and effort to retrain staff and modify current systems, thereby delaying the shift toward these innovative design practices.

The difficulty of this integration directly stifles market expansion by driving up upfront costs and lengthening the time required for implementation. For example, a 2025 survey conducted by Digital Engineering 24/7 found that a mere 12% of engineering professionals surveyed were actively utilizing generative design tools. Despite the clear advantages of the technology, this low rate of adoption highlights the struggles businesses encounter when trying to shift away from their traditional design frameworks. The requirement for comprehensive workflow modifications and system retooling frequently stops or delays organizations from embracing generative design, ultimately limiting the market's potential for growth.

Market Trends

A prominent trend in the industry is the rising utilization of cloud-based generative design platforms, which fulfill the essential requirement for scalable computing power. These cloud solutions make robust computational resources and algorithms accessible to a wider range of businesses, empowering even small companies to use cutting-edge design tools without making massive initial infrastructure investments. This enhanced accessibility encourages extensive experimentation and broader adoption, facilitating the quick optimization and iteration of intricate designs. In September 2025, TD Securities reported in their 'GenAI Public Cloud Spend Survey 2025' that 75% of North American IT purchasers surveyed were already employing cloud-based generative AI applications. This extensive use of cloud technologies greatly simplifies their incorporation into current digital systems and speeds up the overall product development process.

Another major trend is the increasing alignment of generative design with additive manufacturing, which is transforming traditional production models through the powerful synergy of both fields. Generative algorithms are exceptionally skilled at devising highly optimized, complex shapes that are frequently impossible to produce using conventional manufacturing techniques. Additive manufacturing, commonly known as 3D printing, allows these intricate designs to be brought to life, yielding high-performance, lightweight parts while minimizing material waste. This pairing is especially transformative in industries that demand critical performance capabilities or extensive customization. Highlighting this industrial shift, GE Aerospace announced in March 2026 an investment of $115 million to enhance the advanced 3D metal printing operations at its Cincinnati, Ohio headquarters, demonstrating a strong commitment to utilizing this integrated approach to boost manufacturing efficiency and product quality.

Key Market Players

  • Autodesk, Inc.
  • Siemens Aktiengesellschaft
  • Dassault Systemes SE
  • PTC Inc.
  • Autodesk Technology Centers, LLC
  • Altair Engineering Inc.
  • ANSYS, Inc.
  • Bentley Systems, Incorporated
  • MSC Software Corporation
  • Hexagon AB

Report Scope

In this report, the Global Generative Design Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Generative Design Market, By Component

  • Solution
  • Services

Generative Design Market, By Deployment Mode

  • Cloud
  • On-premise

Generative Design Market, By Application

  • Production Design & Development
  • Cost Optimization

Generative Design Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Generative Design Market.

Available Customizations:

Global Generative Design Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Generative Design Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Solution & Services)
    • 5.2.2. By Deployment Mode (Cloud & On-premise)
    • 5.2.3. By Application (Production Design & Development, Cost Optimization)
    • 5.2.4. By Region
    • 5.2.5. By Company (2025)
  • 5.3. Market Map

6. North America Generative Design Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Deployment Mode
    • 6.2.3. By Application
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Generative Design Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Component
        • 6.3.1.2.2. By Deployment Mode
        • 6.3.1.2.3. By Application
    • 6.3.2. Canada Generative Design Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Component
        • 6.3.2.2.2. By Deployment Mode
        • 6.3.2.2.3. By Application
    • 6.3.3. Mexico Generative Design Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Component
        • 6.3.3.2.2. By Deployment Mode
        • 6.3.3.2.3. By Application

7. Europe Generative Design Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Deployment Mode
    • 7.2.3. By Application
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Generative Design Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Deployment Mode
        • 7.3.1.2.3. By Application
    • 7.3.2. France Generative Design Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Deployment Mode
        • 7.3.2.2.3. By Application
    • 7.3.3. United Kingdom Generative Design Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Deployment Mode
        • 7.3.3.2.3. By Application
    • 7.3.4. Italy Generative Design Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Component
        • 7.3.4.2.2. By Deployment Mode
        • 7.3.4.2.3. By Application
    • 7.3.5. Spain Generative Design Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Component
        • 7.3.5.2.2. By Deployment Mode
        • 7.3.5.2.3. By Application

8. Asia Pacific Generative Design Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Deployment Mode
    • 8.2.3. By Application
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Generative Design Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Deployment Mode
        • 8.3.1.2.3. By Application
    • 8.3.2. India Generative Design Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Deployment Mode
        • 8.3.2.2.3. By Application
    • 8.3.3. Japan Generative Design Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Deployment Mode
        • 8.3.3.2.3. By Application
    • 8.3.4. South Korea Generative Design Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Deployment Mode
        • 8.3.4.2.3. By Application
    • 8.3.5. Australia Generative Design Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Deployment Mode
        • 8.3.5.2.3. By Application

9. Middle East & Africa Generative Design Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Deployment Mode
    • 9.2.3. By Application
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Generative Design Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Deployment Mode
        • 9.3.1.2.3. By Application
    • 9.3.2. UAE Generative Design Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Deployment Mode
        • 9.3.2.2.3. By Application
    • 9.3.3. South Africa Generative Design Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Deployment Mode
        • 9.3.3.2.3. By Application

10. South America Generative Design Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Deployment Mode
    • 10.2.3. By Application
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Generative Design Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Deployment Mode
        • 10.3.1.2.3. By Application
    • 10.3.2. Colombia Generative Design Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Deployment Mode
        • 10.3.2.2.3. By Application
    • 10.3.3. Argentina Generative Design Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Deployment Mode
        • 10.3.3.2.3. By Application

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Generative Design Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Autodesk, Inc.
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. Siemens Aktiengesellschaft
  • 15.3. Dassault Systemes SE
  • 15.4. PTC Inc.
  • 15.5. Autodesk Technology Centers, LLC
  • 15.6. Altair Engineering Inc.
  • 15.7. ANSYS, Inc.
  • 15.8. Bentley Systems, Incorporated
  • 15.9. MSC Software Corporation
  • 15.10. Hexagon AB

16. Strategic Recommendations

17. About Us & Disclaimer