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市場調查報告書
商品編碼
1630546

生成設計市場:各零件，各部署模式，各用途，各終端用戶類型，各終端用戶業界，各地區，機會，預測，2018年～2032年

Generative Design Market Assessment, By Component, By Deployment Mode, By Application, By End-User Type, By End-User Industry, By Region, Opportunities and Forecast, 2018-2032F
出版日期: | 出版商: Market Xcel - Markets and Data | 英文 241 Pages | 商品交期: 3-5個工作天內

價格

全球生成設計市場規模預計將從 2024 年的 3.0166 億美元增長到 2032 年的 10.6636 億美元，預測期內（2025-2032 年）的複合年增長率為 17.10%。

由於生成式人工智慧的資金大幅增加，生成式設計市場正經歷強勁成長。據史丹佛大學稱，雖然 2021 年私人對人工智慧的投資有所下降，但對生成式人工智慧的資助卻比 2022 年增長了近 8 倍，達到 252 億美元。投資的大幅增加正在推動生成設計技術的進步，加速其在各行業的應用。公司正在認識到生成設計在提高效率、減少材料浪費和推動創新方面的潛力。將生成設計與人工智慧結合，可以實現更快的迭代，從而改善設計成果，提高建築、工程和製造的效率。這項技術可讓您在特定的限制和要求範圍內擴展解決方案並優化設計。此外，公司正在投資研發以增強生成設計工具，以在不斷變化的市場中保持競爭力。

透過專注於使用者友善的介面和強大的功能，生成設計工具正變得越來越容易被更廣泛的受眾所接受，從而推動了更廣泛的採用。隨著工業領域日益擁抱數位轉型，對生成設計解決方案的需求預計將增長。資金增加、技術進步和行業採用率不斷提高，預計將在未來幾年推動生成設計市場持續擴大。因此，生成設計的未來前景光明，充滿了各領域創新與成長的潛力。

本報告提供全球生成設計市場相關調查，提供市場概要，以及各零件，各部署模式，各用途，各終端用戶類型，各終端用戶業界，各地區趨勢，及加入此市場的主要企業簡介等資訊。

目錄

第1章 計劃的範圍和定義

第2章 調查手法

第3章 摘要整理

第4章 客戶的迴響

第5章 全球生成設計市場預測，2018年～2032年

  • 市場規模的分析與預測
  • 市場佔有率分析與預測
  • 市場地圖分析，2024年
    • 各零件
    • 各部署模式
    • 各用途
    • 各終端用戶類型
    • 各終端用戶業界
    • 各地區

第6章 北美的生成設計市場預測，2018年～2032年

第7章 歐洲的生成設計市場預測，2018年～2032年

第8章 亞太地區的生成設計市場預測，2018年～2032年

第9章 南美的生成設計市場預測，2018年～2032年

第10章 中東·非洲的生成設計市場預測，2018年～2032年

第11章 波特的五力分析

第12章 大環境分析

第13章 市場動態

第14章 市場趨勢與發展

第15章 案例研究

第16章 競爭情形

  • 前五名市場領導的競爭矩陣
  • 前五名參與企業的SWOT分析
  • 前10名市場主要加入企業的形勢
    • Altair Engineering Inc.
    • ANSYS Inc.
    • Autodesk Inc.
    • Bentley Systems, Inc.
    • Caracol AM
    • Dassault Systemes SE
    • Desktop Metal Inc.
    • Diabatix
    • Hexagon AB
    • nTopology, Inc.

第17章 策略性建議

第18章 諮詢方式和免責聲明

Product Code: MX12559

Global generative design market is projected to witness a CAGR of 17.10% during the forecast period 2025-2032, growing from USD 301.66 million in 2024 to USD 1,066.36 million in 2032.

The generative design market is growing significantly with a remarkable increase in funding for generative AI. According to Stanford University, funding for generative AI nearly increased eight times from 2022, amounting to USD 25.2 billion, while private investment in AI declined in 2021. Such a significant increase in investment is fueling the advancement of generative design technologies, which are increasingly being adopted across industries. Companies recognize generative design's potential to improve efficiency, reduce material waste, and foster innovation. Integrating generative design with AI allows for faster iteration toward improved design outcomes, thereby increasing architecture, engineering, and manufacturing efficiency. This technology can expand solutions and optimize designs within specific constraints and requirements. Moreover, companies invest in research and development to enhance generative design tools to stay competitive in an ever-changing market.

The focus on user-friendly interfaces and robust capabilities is making generative design tools more accessible to a wider audience, which is driving further adoption. As industries increasingly embrace digital transformation, the demand for generative design solutions is expected to rise. This combination of increased funding, technological advancement, and growing industry adoption positions the generative design market for continued expansion in the coming years. The future of generative design, therefore, is promising and full of potential for innovation and growth in all fields.

For example, in April 2024, Autodesk Inc.'s report stated that nearly 300 million people in the design and manufacturing sectors are embracing digitization, with 73% of companies feeling resilient. This shift supports generative design's potential to enhance innovation and adaptability in architecture and engineering.

Cross-Industry Applications Support Generative Design Market Growth

The generative design market is experiencing significant growth, driven by its cross-industry applications that enhance efficiency, reduce costs, and foster innovation. Generative design in the aerospace and defense sectors creates lightweight, high-strength components that meet stringent performance and safety standards. This technology helps reduce raw material usage and manufacturing costs, making it essential for developing advanced aerospace systems. In the automotive industry, manufacturers leverage generative design to optimize vehicle parts for weight and strength, improving fuel efficiency and performance. The rapid prototyping capabilities allow for quicker iterations, reducing time-to-market for new models and enhancing competitiveness. Architects in the construction sector employ generative design to explore complex geometries and optimize material usage, resulting in cost-effective and sustainable building solutions. This approach lowers construction costs and aligns with environmental goals, appealing to eco-conscious clients. Additionally, the consumer goods sector adopts generative design to create personalized products tailored to individual preferences, enhancing customer satisfaction and loyalty. Overall, the cross-industry applications of generative design are promoting its adoption and demonstrating its potential to drive innovation and profitability across diverse sectors, positioning the market for sustained growth.

For example, in January 2024, ANSYS Inc. unveiled Ansys SimAI, a groundbreaking AI-driven software-as-a-service (SaaS) solution that accelerates design processes by 10-100X. This innovative platform enhances virtual testing and creative design across industries, enabling rapid product development and expansive design exploration.

Rapid Prototyping Fueling the Generative Design Market Share

Rapid prototyping is significantly fueling the generative design market by enabling faster and more efficient product development. This allows designers and engineers to quickly make physical models of their designs, facilitating easier testing and evaluation. Generative design empowers companies to generate multi-design options based on parameters like material properties and performance requirements. This will open an avenue for new explorations of innovative solutions that were difficult through conventional design approaches, along with early feedback. Problems and scope for improvement can be found with higher-quality final products at the end with iterative approaches. Rapid prototyping also saves time and costs, which is usually experienced in traditional manufacturing. Therefore, companies may easily test new ideas to evade any financial risks. Industries such as aerospace, automotive, and consumer goods are the ones that benefit the most in this sector. These sectors can come up with more lightweight, efficient, and customized products more quickly by combining generative design with rapid prototyping. Demand for generative design solutions will increase further as the benefits of rapid prototyping continue to grow which further promotes innovation and competitiveness in the generative design market.

For example, in October 2024, Bentley Systems, Inc. launched OpenSite+, the first generative AI-powered civil engineering application, enabling rapid prototyping of site designs. This innovative tool automates drawing production and layout optimization, delivering accurate designs up to 10 times faster than traditional methods.

Government Initiatives Promoting Revenue Growth in Generative Design Market

Government initiatives are key factors driving revenue growth in the generative design market. For instance, the National Aeronautics and Space Administration's (NASA) implementation of generative design in lightweight spaceflight components has established its feasibility in reducing the cost of manufacturing while increasing performance. This can be a model for other industries to increase the demand for generative design solutions. Additionally, the United States Digital Response and Google LLC assist government agencies in integrating generative AI to help enhance public services. This promotes the development of generative design in urban planning and infrastructure through prototypes and use cases and opens opportunities for technology providers.

In addition, AI governance frameworks promote responsible innovation by providing clear guidelines from governments. This creates a secure environment where businesses can invest in generative design technologies. Such an environment attracts private-sector collaboration and further stimulates growth in the generative design market. These initiatives show the economic benefits of generative design and promote its wide usage, which results in further investment and long-term revenue generation in the generative design market.

For example, in June 2024, Amazon Web Services, Inc. launched a USD 50 million Generative AI Impact Initiative aimed at public sector organizations, promoting innovation through generative AI technologies. This initiative supports government efforts to enhance efficiency and adaptability, potentially driving revenue growth in the generative design market.

Automotive Industry Dominates the Generative Design Market

The automotive industry is leading the generative design market by embracing innovative technologies to enhance vehicle performance and efficiency. Generative design is used by manufacturers to quickly explore several design alternatives, which optimizes components for weight reduction and structural integrity. This approach creates lighter and more efficient vehicles, which is especially important for electric vehicles (EVs) seeking improved range and energy efficiency. Furthermore, the integration of generative design and additive manufacturing enables the production of complex geometries that are otherwise impossible by traditional methods can be done. Such an ability results in parts that are lighter but stronger. In generative design processes, machine learning and AI applications allow real-time data analysis, enabling faster iterations and more informed decision-making. With increasing concern over sustainability from the automotive industry, it tends to reduce material wastage and carbon emissions during design creation by optimizing its manufacturability performance with the use of generative design.

North America's Dominance in Generative Design Market

North America dominates the generative design market owing to a mature ecosystem and many solution vendors in the United States. The region is highly rich in the presence of key technology players who foster innovation and technological advancements. Industries in the region, especially aerospace, automotive, manufacturing, and construction, emphasize continuous improvement and advanced technologies, making them growth drivers for the generative design market. Additionally, the region invests highly in the latest technological advancements driving the market. The United States has many technology-based corporations and industrial leaders who have emerged as trendsetters in adopting and developing generative design technologies. This has been powered by the region's very strong digital infrastructure, high-skilled engineering workforce, and an innovation culture among businesses. American companies are now applying generative design across various industries like aerospace, automotive, and medical devices to optimize products and manufacturing processes.

For instance, in November 2024, ANSYS Inc. announced the integration of NVIDIA Modulus AI framework into its SeaScape platform, enhancing semiconductor design by enabling engineers to create customized AI models, significantly speeding up design optimization for products like graphics processing units (GPUs), high-performance computing (HPC) chips, and smartphone processors.

Future Market Scenario (2025-2032F)

The generative design market is expected to grow as industries like automotive and aerospace adopt it to create lightweight, cost-effective, and optimized products.

Generative design will merge with technologies like AI, IoT, and digital twins, enabling smarter designs that adapt to real-time performance data.

Sustainability goals will drive the use of generative design to create eco-friendly, energy-efficient solutions for construction, renewable energy, and urban development.

Cloud platforms will make generative design accessible to small and medium businesses, boosting market adoption and expanding its user base.

Key Players Landscape and Outlook

The key player landscape within the generative design market primarily encompasses a mix of leading technology companies and innovative startups that are developing advanced software solutions based on generative design paired with artificial intelligence, leading to the enhancement of processes used within various industries. Therefore, it is gaining attention to progressing user experience by providing intuitive interfaces as well as powerful tools, which allow for rapid prototyping as well as iteration. Many companies are investing in research and development to refine their generative design algorithms, thus making more accurate simulations and better optimization of materials possible. They are also forming strategic partnerships with educational institutions and industry leaders to foster innovation and expand their market reach. Some players also enhance their cloud-based platforms to support collaborative design efforts, thus enabling teams to work together seamlessly regardless of location. They are also focused on sustainability by developing solutions that will reduce material waste and energy consumption during the design and manufacturing processes.

In March 2024, ANSYS Inc. and NVIDIA Corp. expanded their collaboration to develop next-generation simulation solutions, leveraging accelerated computing and generative AI to advance 6G technologies, digital twins, and enhanced graphics across Ansys products.

In December 2024, Hexagon AB acquired 3D Systems' Geomagic suite, enhancing its 3D modeling and inspection capabilities, which can support generative design processes by providing accurate models for optimized product development in manufacturing.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

  • 4.1. Product and Market Intelligence
  • 4.2. Mode of Brand Awareness
  • 4.3. Factors Considered in Purchase Decisions
    • 4.3.1. Features and Other Value-Added Service
    • 4.3.2. IT Infrastructure Compatibility
    • 4.3.3. Efficiency of Solutions
    • 4.3.4. After-Sales Support
  • 4.4. Consideration of Privacy and Regulations

5. Global Generative Design Market Outlook, 2018-2032F

  • 5.1. Market Size Analysis & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share Analysis & Forecast
    • 5.2.1. By Component
      • 5.2.1.1. Software
        • 5.2.1.1.1. Topology Optimization
        • 5.2.1.1.2. Parametric Design Tools
        • 5.2.1.1.3. Simulation and Analysis Tools
        • 5.2.1.1.4. Algorithmic Design Platforms
      • 5.2.1.2. Services
        • 5.2.1.2.1. Design and Consulting Services
        • 5.2.1.2.2. Support and Maintenance Services
    • 5.2.2. By Deployment Mode
      • 5.2.2.1. On-Premises
      • 5.2.2.2. Cloud Based
    • 5.2.3. By Application
      • 5.2.3.1. Product Design
      • 5.2.3.2. Graphic Design
      • 5.2.3.3. Interior Design
      • 5.2.3.4. Architecture
      • 5.2.3.5. Fashion Design
      • 5.2.3.6. Others
    • 5.2.4. By End-User Type
      • 5.2.4.1. Large Enterprises (>1000 Employees)
      • 5.2.4.2. Small and Medium Enterprises (SMEs) (<1000 Employees)
      • 5.2.4.3. Individual Users
    • 5.2.5. By End-User Industry
      • 5.2.5.1. Automotive
      • 5.2.5.2. Aerospace and Defense
      • 5.2.5.3. Architecture and Construction
      • 5.2.5.4. Manufacturing
      • 5.2.5.5. Healthcare
      • 5.2.5.6. Energy and Utilities
      • 5.2.5.7. Others
    • 5.2.6. By Region
      • 5.2.6.1. North America
      • 5.2.6.2. Europe
      • 5.2.6.3. Asia-Pacific
      • 5.2.6.4. South America
      • 5.2.6.5. Middle East and Africa
    • 5.2.7. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
  • 5.3. Market Map Analysis, 2024
    • 5.3.1. By Component
    • 5.3.2. By Deployment Mode
    • 5.3.3. By Application
    • 5.3.4. By End-User Type
    • 5.3.5. By End-User Industry
    • 5.3.6. By Region

6. North America Generative Design Market Outlook, 2018-2032F*

  • 6.1. Market Size Analysis & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share Analysis & Forecast
    • 6.2.1. By Component
      • 6.2.1.1. Software
        • 6.2.1.1.1. Topology Optimization
        • 6.2.1.1.2. Parametric Design Tools
        • 6.2.1.1.3. Simulation and Analysis Tools
        • 6.2.1.1.4. Algorithmic Design Platforms
      • 6.2.1.2. Services
        • 6.2.1.2.1. Design and Consulting Services
        • 6.2.1.2.2. Support and Maintenance Services
    • 6.2.2. By Deployment Mode
      • 6.2.2.1. On-Premises
      • 6.2.2.2. Cloud Based
    • 6.2.3. By Application
      • 6.2.3.1. Product Design
      • 6.2.3.2. Graphic Design
      • 6.2.3.3. Interior Design
      • 6.2.3.4. Architecture
      • 6.2.3.5. Fashion Design
      • 6.2.3.6. Others
    • 6.2.4. By End-User Type
      • 6.2.4.1. Large Enterprises (>1000 Employees)
      • 6.2.4.2. Small and Medium Enterprises (SMEs) (<1000 Employees)
      • 6.2.4.3. Individual Users
    • 6.2.5. By End-User Industry
      • 6.2.5.1. Automotive
      • 6.2.5.2. Aerospace and Defense
      • 6.2.5.3. Architecture and Construction
      • 6.2.5.4. Manufacturing
      • 6.2.5.5. Healthcare
      • 6.2.5.6. Energy and Utilities
      • 6.2.5.7. Others
    • 6.2.6. By Country Share
      • 6.2.6.1. United States
      • 6.2.6.2. Canada
      • 6.2.6.3. Mexico
  • 6.3. Country Market Assessment
    • 6.3.1. United States Generative Design Market Outlook, 2018-2032F*
      • 6.3.1.1. Market Size Analysis & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share Analysis & Forecast
        • 6.3.1.2.1. By Component
          • 6.3.1.2.1.1. Software
          • 6.3.1.2.1.1.1. Topology Optimization
          • 6.3.1.2.1.1.2. Parametric Design Tools
          • 6.3.1.2.1.1.3. Simulation and Analysis Tools
          • 6.3.1.2.1.1.4. Algorithmic Design Platforms
          • 6.3.1.2.1.2. Services
          • 6.3.1.2.1.2.1. Design and Consulting Services
          • 6.3.1.2.1.2.2. Support and Maintenance Services
        • 6.3.1.2.2. By Deployment Mode
          • 6.3.1.2.2.1. On-Premises
          • 6.3.1.2.2.2. Cloud Based
        • 6.3.1.2.3. By Application
          • 6.3.1.2.3.1. Product Design
          • 6.3.1.2.3.2. Graphic Design
          • 6.3.1.2.3.3. Interior Design
          • 6.3.1.2.3.4. Architecture
          • 6.3.1.2.3.5. Fashion Design
          • 6.3.1.2.3.6. Others
        • 6.3.1.2.4. By End-User Type
          • 6.3.1.2.4.1. Large Enterprises (>1000 Employees)
          • 6.3.1.2.4.2. Small and Medium Enterprises (SMEs) (<1000 Employees)
          • 6.3.1.2.4.3. Individual Users
        • 6.3.1.2.5. By End-User Industry
          • 6.3.1.2.5.1. Automotive
          • 6.3.1.2.5.2. Aerospace and Defense
          • 6.3.1.2.5.3. Architecture and Construction
          • 6.3.1.2.5.4. Manufacturing
          • 6.3.1.2.5.5. Healthcare
          • 6.3.1.2.5.6. Energy and Utilities
          • 6.3.1.2.5.7. Others
    • 6.3.2. Canada
    • 6.3.3. Mexico

All segments will be provided for all regions and countries covered

7. Europe Generative Design Market Outlook, 2018-2032F

  • 7.1. Germany
  • 7.2. France
  • 7.3. Italy
  • 7.4. United Kingdom
  • 7.5. Russia
  • 7.6. Netherlands
  • 7.7. Spain
  • 7.8. Turkey
  • 7.9. Poland

8. Asia-Pacific Generative Design Market Outlook, 2018-2032F

  • 8.1. India
  • 8.2. China
  • 8.3. Japan
  • 8.4. Australia
  • 8.5. Vietnam
  • 8.6. South Korea
  • 8.7. Indonesia
  • 8.8. Philippines

9. South America Generative Design Market Outlook, 2018-2032F

  • 9.1. Brazil
  • 9.2. Argentina

10. Middle East and Africa Generative Design Market Outlook, 2018-2032F

  • 10.1. Saudi Arabia
  • 10.2. UAE
  • 10.3. South Africa

11. Porter's Five Forces Analysis

12. PESTLE Analysis

13. Market Dynamics

  • 13.1. Market Drivers
  • 13.2. Market Challenges

14. Market Trends and Developments

15. Case Studies

16. Competitive Landscape

  • 16.1. Competition Matrix of Top 5 Market Leaders
  • 16.2. SWOT Analysis for Top 5 Players
  • 16.3. Key Players Landscape for Top 10 Market Players
    • 16.3.1. Altair Engineering Inc.
      • 16.3.1.1. Company Details
      • 16.3.1.2. Key Management Personnel
      • 16.3.1.3. Products and Services
      • 16.3.1.4. Financials (As Reported)
      • 16.3.1.5. Key Market Focus and Geographical Presence
      • 16.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisitions
    • 16.3.2. ANSYS Inc.
    • 16.3.3. Autodesk Inc.
    • 16.3.4. Bentley Systems, Inc.
    • 16.3.5. Caracol AM
    • 16.3.6. Dassault Systemes SE
    • 16.3.7. Desktop Metal Inc.
    • 16.3.8. Diabatix
    • 16.3.9. Hexagon AB
    • 16.3.10. nTopology, Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

17. Strategic Recommendations

18. About Us and Disclaimer

List of Tables

  • Table 1. Pricing Analysis of Products from Key Players
  • Table 2. Competition Matrix of Top 5 Market Leaders
  • Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
  • Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

  • Figure 1. Global Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 2. Global Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 3. Global Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 4. Global Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 5. Global Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 6. Global Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 7. Global Generative Design Market Share (%), By Region, 2018-2032F
  • Figure 8. North America Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 9. North America Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 10. North America Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 11. North America Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 12. North America Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 13. North America Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 14. North America Generative Design Market Share (%), By Country, 2018-2032F
  • Figure 15. United States Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 16. United States Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 17. United States Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 18. United States Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 19. United States Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 20. United States Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 21. Canada Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 22. Canada Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 23. Canada Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 24. Canada Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 25. Canada Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 26. Canada Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 27. Mexico Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 28. Mexico Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 29. Mexico Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 30. Mexico Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 31. Mexico Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 32. Mexico Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 33. Europe Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 34. Europe Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 35. Europe Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 36. Europe Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 37. Europe Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 38. Europe Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 39. Europe Generative Design Market Share (%), By Country, 2018-2032F
  • Figure 40. Germany Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 41. Germany Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 42. Germany Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 43. Germany Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 44. Germany Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 45. Germany Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 46. France Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 47. France Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 48. France Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 49. France Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 50. France Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 51. France Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 52. Italy Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 53. Italy Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 54. Italy Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 55. Italy Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 56. Italy Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 57. Italy Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 58. United Kingdom Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 59. United Kingdom Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 60. United Kingdom Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 61. United Kingdom Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 62. United Kingdom Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 63. United Kingdom Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 64. Russia Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 65. Russia Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 66. Russia Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 67. Russia Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 68. Russia Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 69. Russia Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 70. Netherlands Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 71. Netherlands Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 72. Netherlands Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 73. Netherlands Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 74. Netherlands Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 75. Netherlands Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 76. Spain Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 77. Spain Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 78. Spain Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 79. Spain Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 80. Spain Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 81. Spain Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 82. Turkey Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 83. Turkey Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 84. Turkey Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 85. Turkey Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 86. Turkey Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 87. Turkey Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 88. Poland Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 89. Poland Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 90. Poland Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 91. Poland Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 92. Poland Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 93. Poland Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 94. South America Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 95. South America Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 96. South America Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 97. South America Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 98. South America Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 99. South America Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 100. South America Generative Design Market Share (%), By Country, 2018-2032F
  • Figure 101. Brazil Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 102. Brazil Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 103. Brazil Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 104. Brazil Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 105. Brazil Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 106. Brazil Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 107. Argentina Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 108. Argentina Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 109. Argentina Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 110. Argentina Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 111. Argentina Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 112. Argentina Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 113. Asia-Pacific Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 114. Asia-Pacific Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 115. Asia-Pacific Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 116. Asia-Pacific Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 117. Asia-Pacific Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 118. Asia-Pacific Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 119. Asia-Pacific Generative Design Market Share (%), By Country, 2018-2032F
  • Figure 120. India Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 121. India Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 122. India Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 123. India Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 124. India Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 125. India Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 126. China Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 127. China Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 128. China Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 129. China Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 130. China Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 131. China Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 132. Japan Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 133. Japan Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 134. Japan Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 135. Japan Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 136. Japan Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 137. Japan Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 138. Australia Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 139. Australia Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 140. Australia Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 141. Australia Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 142. Australia Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 143. Australia Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 144. Vietnam Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 145. Vietnam Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 146. Vietnam Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 147. Vietnam Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 148. Vietnam Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 149. Vietnam Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 150. South Korea Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 151. South Korea Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 152. South Korea Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 153. South Korea Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 154. South Korea Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 155. South Korea Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 156. Indonesia Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 157. Indonesia Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 158. Indonesia Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 159. Indonesia Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 160. Indonesia Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 161. Indonesia Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 162. Philippines Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 163. Philippines Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 164. Philippines Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 165. Philippines Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 166. Philippines Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 167. Philippines Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 168. Middle East & Africa Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 169. Middle East & Africa Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 170. Middle East & Africa Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 171. Middle East & Africa Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 172. Middle East & Africa Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 173. Middle East & Africa Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 174. Middle East & Africa Generative Design Market Share (%), By Country, 2018-2032F
  • Figure 175. Saudi Arabia Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 176. Saudi Arabia Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 177. Saudi Arabia Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 178. Saudi Arabia Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 179. Saudi Arabia Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 180. Saudi Arabia Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 181. UAE Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 182. UAE Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 183. UAE Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 184. UAE Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 185. UAE Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 186. UAE Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 187. South Africa Generative Design Market, By Value, In USD Million, 2018-2032F
  • Figure 188. South Africa Generative Design Market Share (%), By Component, 2018-2032F
  • Figure 189. South Africa Generative Design Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 190. South Africa Generative Design Market Share (%), By Application, 2018-2032F
  • Figure 191. South Africa Generative Design Market Share (%), By End-User Type, 2018-2032F
  • Figure 192. South Africa Generative Design Market Share (%), By End-User Industry, 2018-2032F
  • Figure 193. By Component Map-Market Size (USD Million) & Growth Rate (%), 2024
  • Figure 194. By Deployment Mode Map-Market Size (USD Million) & Growth Rate (%), 2024
  • Figure 195. By Application Map-Market Size (USD Million) & Growth Rate (%), 2024
  • Figure 196. By End-User Type Map-Market Size (USD Million) & Growth Rate (%), 2024
  • Figure 197. By End-User Industry Map-Market Size (USD Million) & Growth Rate (%), 2024
  • Figure 198. By Region Map-Market Size (USD Million) & Growth Rate (%), 2024