Generative Design Software Market
Generative Design Software Market Forecasts to 2030 - Global Analysis By Type (Standalone Software and Integrated), Deployment Model (On-premise and Cloud-based), Price, Application, End User and By Geography
|
Years Covered |
2021-2030 |
|
Estimated Year Value (2023) |
US $335.77 MN |
|
Projected Year Value (2030) |
US $1342.98 MN |
|
CAGR (2023 - 2030) |
21.9% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
Asia Pacific |
|
Highest Growing Market |
North America |
According to Stratistics MRC, the Global Generative Design Software Market is accounted for $335.77 million in 2023 and is expected to reach $1342.98 million by 2030 growing at a CAGR of 21.9% during the forecast period. Generative design software utilizes algorithms to explore a multitude of design possibilities, generating variations based on specified parameters and constraints. By mimicking evolutionary processes, it iteratively refines designs, often producing novel and optimized solutions. These tools empower designers to explore complex design spaces efficiently, uncovering innovative concepts and optimal configurations.
According to Sculpteo, a 3D printing company, the highest priorities for Europeans using 3D printing are stimulating product development and offering customized products and limited series.
Market Dynamics:
Driver:
Increasing demand for design optimization
Industries across automotive, aerospace, architecture and manufacturing sectors are seeking solutions that can efficiently produce optimized designs. Generative design software meets this demand by utilizing algorithms to explore a multitude of design variations while considering constraints and objectives. By automating the optimization process, it helps in achieving designs that are cost-effective, efficient, and tailored to specific needs, thereby driving the adoption of generative design technology.
Restraint:
Limitations in design freedom
While generative design software offers unparalleled optimization capabilities, its reliance on predefined parameters and constraints can limit design freedom. Designers may find themselves constrained by the software's predefined algorithms and constraints, restricting their ability to explore unconventional or highly customized designs. This limitation hampers creativity and innovation, potentially alienating designers who seek more expressive and unrestricted design approaches.
Opportunity:
Escalating adoption of industry 4.0
Industry 4.0 principles, including IoT, AI, cloud computing, and big data analytics, synergize with generative design software, enhancing its capabilities for creating optimized, efficient, and innovative designs. By leveraging real-time data, automation, and interconnected systems, generative design software enables industries to achieve higher levels of productivity, cost-effectiveness, and agility, driving its adoption across manufacturing, automotive, aerospace, and other sectors, thus fueling market growth.
Threat:
Legal and ethical concerns
Legal and ethical concerns surrounding generative design software include issues related to intellectual property rights, liability for design outcomes, and potential job displacement due to automation. Protecting ownership of generated designs and ensuring compliance with copyright laws presents challenges. Moreover, concerns about job loss due to automation hinder market growth as companies navigate regulatory frameworks and ethical considerations.
Covid-19 Impact
The covid-19 pandemic has mixed impact on the generative design software market. While initial disruptions in manufacturing and construction industries slowed adoption, remote work accelerated the demand for digital tools, including generative design software, to facilitate collaboration and maintain productivity. However, economic uncertainties and budget constraints in some sectors restrained market growth. Overall, the pandemic underscored the importance of digital transformation, potentially driving long-term adoption of generative design solutions.
The design exploration & variations segment is expected to be the largest during the forecast period
The design exploration & variations segment is estimated to have a lucrative growth. These tools enable designers to explore a vast array of possibilities quickly, facilitating creativity and innovation. By automating the iterative design process, they help optimize designs for specific goals such as performance, efficiency, or aesthetics. This technology empowers designers to efficiently explore and evaluate design alternatives, ultimately leading to more informed decision-making and the development of optimized, innovative solutions in various fields such as architecture, product design, and engineering.
The art & fashion segment is expected to have the highest CAGR during the forecast period
The art & fashion segment is anticipated to witness the highest CAGR growth during the forecast period. Generative design software in art and fashion applications leverages algorithms and computational processes to create novel designs, patterns, and forms. By utilizing parameters and rules set by designers, these tools generate diverse and often unexpected outputs, fostering creativity and innovation. It facilitates the development of unique garments, textiles, and accessories, enabling designers to experiment with shapes, textures, and materials, ultimately leading to the creation of avant-garde and personalized fashion pieces.
Region with largest share:
Asia Pacific is projected to hold the largest market share during the forecast period owing to rapid industrialization and technological advancements. Countries like China, Japan, South Korea, and India are key contributors to market expansion due to their focus on innovation and digital transformation initiatives. Moreover, the rising demand for customized and sustainable designs, coupled with government initiatives to support advanced manufacturing technologies, further propels the growth of generative design software in the Asia-Pacific region.
Region with highest CAGR:
North America is projected to have the highest CAGR over the forecast period, owing to the region's advanced technological infrastructure and strong presence of key market players. The United States and Canada lead market growth, driven by investments in research and development, favourable government initiatives supporting innovation, and the presence of a mature manufacturing ecosystem. Moreover, the increasing emphasis on sustainability, coupled with the need for cost-effective and efficient design solutions, continues to fuel the demand for generative design software in the North American region.
Key players in the market
Some of the key players profiled in the Generative Design Software Market include Autodesk Inc., Dassault Systems, Siemens AG, Parametric Technology Corporation (PTC), Poliark, Altair Engineering Inc., Bentley Systems, Graviky Labs, Desktop Metal, nTopology Inc., Frustum Inc., Hexagon AB, Materialise NV, HatchWorks and MSC Software Corporation.
Key Developments:
In February 2024, HatchWorks, a leading Nearshore software development partner, launched its innovative Generative-Driven Development™. This cutting-edge approach represents a significant leap forward in software development, leveraging the power of generative AI to accelerate and streamline the development lifecycle.
In January 2024, Poliark, a relatively new technology company based in New York, launched its first subscription-based product, Kend. Built on generative artificial intelligence technology, Kend is designed for architects and engineers, providing a conversational AI assistant to create 3D models from scratch or from 2D sketches, all using simple text inputs.
Types Covered:
• Standalone Software
• Integrated
Deployment Models Covered:
• On-premise
• Cloud-based
Prices Covered:
• Premium/Paid Software
• Open-source/Free Software
Applications Covered:
• Parametric Modeling
• Topology Optimization
• Lattice Structures Generation
• Evolutionary Algorithms
• Shape Optimization
• Design Exploration & Variations
• Other Applications
End Users Covered:
• Automotive
• Aerospace & Defense
• Architecture, Engineering, and Construction (AEC)
• Consumer Goods & Electronics
• Industrial Manufacturing
• Healthcare & Life Sciences
• Art & Fashion
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Generative Design Software Market, By Type
5.1 Introduction
5.2 Standalone Software
5.3 Integrated
6 Global Generative Design Software Market, By Deployment Model
6.1 Introduction
6.2 On-premise
6.3 Cloud-based
7 Global Generative Design Software Market, By Price
7.1 Introduction
7.2 Premium/Paid Software
7.3 Open-source/Free Software
8 Global Generative Design Software Market, By Application
8.1 Introduction
8.2 Parametric Modeling
8.3 Topology Optimization
8.4 Lattice Structures Generation
8.5 Evolutionary Algorithms
8.6 Shape Optimization
8.7 Design Exploration & Variations
8.8 Other Applications
9 Global Generative Design Software Market, By End User
9.1 Introduction
9.2 Automotive
9.3 Aerospace & Defense
9.4 Architecture, Engineering, and Construction (AEC)
9.5 Consumer Goods & Electronics
9.6 Industrial Manufacturing
9.7 Healthcare & Life Sciences
9.8 Art & Fashion
9.9 Other End Users
10 Global Generative Design Software Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 Autodesk Inc.
12.2 Dassault Systems
12.3 Siemens AG
12.4 Parametric Technology Corporation (PTC)
12.5 Poliark
12.6 Altair Engineering Inc.
12.7 Bentley Systems
12.8 Graviky Labs
12.9 Desktop Metal
12.10 nTopology Inc.
12.11 Frustum Inc.
12.12 Hexagon AB
12.13 Materialise NV
12.14 HatchWorks
12.15 MSC Software Corporation
List of Tables
1 Global Generative Design Software Market Outlook, By Region (2021-2030) ($MN)
2 Global Generative Design Software Market Outlook, By Type (2021-2030) ($MN)
3 Global Generative Design Software Market Outlook, By Standalone Software (2021-2030) ($MN)
4 Global Generative Design Software Market Outlook, By Integrated (2021-2030) ($MN)
5 Global Generative Design Software Market Outlook, By Deployment Model (2021-2030) ($MN)
6 Global Generative Design Software Market Outlook, By On-premise (2021-2030) ($MN)
7 Global Generative Design Software Market Outlook, By Cloud-based (2021-2030) ($MN)
8 Global Generative Design Software Market Outlook, By Price (2021-2030) ($MN)
9 Global Generative Design Software Market Outlook, By Premium/Paid Software (2021-2030) ($MN)
10 Global Generative Design Software Market Outlook, By Open-source/Free Software (2021-2030) ($MN)
11 Global Generative Design Software Market Outlook, By Application (2021-2030) ($MN)
12 Global Generative Design Software Market Outlook, By Parametric Modeling (2021-2030) ($MN)
13 Global Generative Design Software Market Outlook, By Topology Optimization (2021-2030) ($MN)
14 Global Generative Design Software Market Outlook, By Lattice Structures Generation (2021-2030) ($MN)
15 Global Generative Design Software Market Outlook, By Evolutionary Algorithms (2021-2030) ($MN)
16 Global Generative Design Software Market Outlook, By Shape Optimization (2021-2030) ($MN)
17 Global Generative Design Software Market Outlook, By Design Exploration & Variations (2021-2030) ($MN)
18 Global Generative Design Software Market Outlook, By Other Applications (2021-2030) ($MN)
19 Global Generative Design Software Market Outlook, By End User (2021-2030) ($MN)
20 Global Generative Design Software Market Outlook, By Automotive (2021-2030) ($MN)
21 Global Generative Design Software Market Outlook, By Aerospace & Defense (2021-2030) ($MN)
22 Global Generative Design Software Market Outlook, By Architecture, Engineering, and Construction (AEC) (2021-2030) ($MN)
23 Global Generative Design Software Market Outlook, By Consumer Goods & Electronics (2021-2030) ($MN)
24 Global Generative Design Software Market Outlook, By Industrial Manufacturing (2021-2030) ($MN)
25 Global Generative Design Software Market Outlook, By Healthcare & Life Sciences (2021-2030) ($MN)
26 Global Generative Design Software Market Outlook, By Art & Fashion (2021-2030) ($MN)
27 Global Generative Design Software Market Outlook, By Other End Users (2021-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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