한글목차

세계 제너레이티브 디자인 시장 규모는 2025년부터 2032년까지 예측 기간 동안 17.10%의 연평균 복합 성장률(CAGR)로 확대되어 2024년 3억 166만 달러에서 2032년 10억 6,636만 달러로 성장할 것으로 예상됩니다.

생성형 AI에 대한 자금 지원이 크게 증가하면서 제너레이티브 디자인 시장이 크게 성장하고 있습니다. 스탠포드 대학에 따르면, 2021년 AI에 대한 민간 투자는 감소한 반면, 생성형 AI에 대한 자금은 2022년까지 8배 가까이 증가하여 252억 달러에 달할 것으로 예상했습니다. 이러한 투자 증가는 제너레이티브 디자인 기술의 발전에 박차를 가하고 있으며, 업계 전반에 걸쳐 채택이 확대되고 있습니다. 기업들은 제너레이티브 디자인이 효율성을 개선하고 재료 낭비를 줄이며 혁신을 촉진할 수 있는 잠재력을 인식하고 있습니다. AI와 제너레이티브 디자인을 통합하면 설계 결과를 개선하기 위해 더 빠르게 반복할 수 있어 건축, 엔지니어링 및 제조 효율성을 향상시킬 수 있습니다. 이 기술은 솔루션을 확장하고 특정 제약 조건과 요구 사항 내에서 설계를 최적화할 수 있습니다. 또한, 기업들은 변화하는 시장에서 경쟁력을 유지하기 위해 제너레이티브 디자인 툴을 강화하는 연구개발에 투자하고 있습니다.

사용자 친화적인 인터페이스와 견고한 기능에 중점을 두면서 제너레이티브 디자인 툴은 더 많은 사용자가 쉽게 사용할 수 있게 되어 도입이 확대되고 있습니다. 산업계가 디지털 전환을 점점 더 많이 수용함에 따라 제너레이티브 디자인 솔루션에 대한 수요는 더욱 증가할 것으로 예상됩니다. 이러한 자금 조달 증가, 기술 발전, 산업계의 채택 확대가 결합되어 향후 몇 년동안 제너레이티브 디자인 시장은 지속적으로 확대될 것으로 예상됩니다. 따라서 제너레이티브 디자인의 미래는 유망하며, 모든 분야에서 혁신과 성장의 잠재력이 가득합니다.

이 보고서는 세계 제너레이티브 디자인 시장을 조사했으며, 시장 개요와 함께 구성요소별, 배포 모드별, 용도별, 최종사용자 유형별, 최종사용자 산업별, 지역별 동향, 시장 진출기업 프로파일 등의 정보를 제공합니다.

목차

제1장 프로젝트의 범위와 정의

제2장 조사 방법

제3장 주요 요약

제4장 고객의 소리

제5장 세계의 제너러티브 디자인 시장 전망, 2018년-2032년

• 시장 규모 분석과 예측
• 시장 점유율 분석과 예측
• 시장 맵 분석, 2024년
  • 컴포넌트별
  • 전개 모드별
  • 용도별
  • 최종사용자 유형별
  • 최종사용자 업계별
  • 지역별

제6장 북미 제너러티브 디자인 시장 전망, 2018년-2032년

제7장 유럽 제너러티브 디자인 시장 전망, 2018년-2032년

제8장 아시아태평양 제너러티브 디자인 시장 전망, 2018년-2032년

제9장 남미 제너러티브 디자인 시장 전망, 2018년-2032년

제10장 중동 및 아프리카 제너러티브 디자인 시장 전망, 2018년-2032년

제11장 Porter의 Five Forces 분석

제12장 PESTLE 분석

제13장 시장 역학

제14장 시장 동향과 발전

제15장 사례 연구

제16장 경쟁 구도

• 시장 리더 TOP 5경쟁 매트릭스
• 참여 기업 TOP 5SWOT 분석
• 시장 주요 시장 진출기업 TOP 10상황
  • Altair Engineering Inc.
  • ANSYS Inc.
  • Autodesk Inc.
  • Bentley Systems, Inc.
  • Caracol AM
  • Dassault Systemes SE
  • Desktop Metal Inc.
  • Diabatix
  • Hexagon AB
  • nTopology, Inc.

제17장 전략적 제안

제18장 문의와 면책사항

영문목차

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