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The generative design market size is estimated to grow by USD 195.2 million at a CAGR of 18.54% between 2023 and 2028. Autodesk's Dreamcatcher, a generative design solution, is revolutionizing the engineering industry by automating the design process and generating innovative, efficient solutions. This cloud-based technology uses machine learning algorithms to analyze design objectives and constraints, generating multiple design options that can significantly reduce weight, material usage, and manufacturing costs. The growing demand from the automotive industry, particularly for lightweight and fuel-efficient vehicles, has accelerated the adoption of generative design. Dreamcatcher's availability, with its key offering of a free trial version, has made it accessible to businesses of all sizes. By automating the design process, Dreamcatcher significantly accelerates project speed, enabling companies to bring innovative products to market faster than ever before. This technology is transforming the way industries design and manufacture, offering unprecedented design freedom and efficiency.
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Generative design is revolutionizing the product design and development industry by leveraging advanced technologies such as AI, machine learning, and Big Data. This market encompasses both software and services that enable designers, engineers, architects, and other professionals to explore design goals and spatial requirements in new ways. Generative design software uses algorithms to create unique designs based on specific inputs, such as spatial requirements, design goals, and engineering constraints. The market for generative design is growing rapidly, driven by the adoption of AI and machine learning in various industries. Architecture and engineering firms are using generative design software to optimize building designs for energy efficiency, structural integrity, and spatial utilization. In the automotive and aircraft industries, generative design is being used to optimize designs for weight reduction, aerodynamics, and passenger safety. Generative design software often utilizes on-premises deployment and incorporates advanced technologies like IoT, Building Information Modeling, and 3D renderers with graphic processing units and flow simulators for heat transfer analysis. Data security is a critical concern in this market, as designs contain sensitive information. Learning and training programs are also essential to ensure that designers and engineers are proficient in using generative design tools effectively. The market is expected to grow significantly due to the potential for weight reduction in automotives and aircraft, environmental impact optimization, and improved passenger safety. However, challenges such as data security and the need for specialized skills may hinder market growth. Overall, the future of generative design looks bright, with continued innovation and adoption across various industries. Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
Availability of trial or free version of generative design is notably driving the market growth. Generative design, a revolutionary technology in industrial manufacturing, is driving digital transformation across various end use industries, including automotives, aerospace, and consumer goods. Vendors providing generative design solutions offer trial or free versions to attract SMEs and enterprises seeking to explore the design process further. These versions come with limited features, allowing users to experience the software's capabilities before committing to a purchase.
Furthermore, in the AEC business, generative design can optimize building designs for heat transfer, flow simulation, and aerodynamic efficacy, reducing aircraft weight and enhancing passenger safety. Similarly, in the automotive sector, it can improve durability and lightweight vehicle production, reducing environmental impact. Drones are another application where generative design can optimize designs for optimal performance. With the increasing demand for efficient and sustainable manufacturing processes, the trial or free versions of generative design solutions are an effective way to gain market share and attract new customers. Thus, such factors are driving the growth of the market during the forecast period.
Use of artificial intelligence with generative design is the key trend in the market. The digital transformation of industrial manufacturing industries is driving the adoption of advanced technologies such as generative design solutions. These solutions utilize AI algorithms to generate a multitude of design options based on input parameters, including the weight the product must support, height, strength, and material choices. This design exploration process is particularly beneficial for end use industries like automotives and aerospace, where factors such as aerodynamic efficacy, durability, passenger safety, and environmental impact are crucial. For instance, generative design can help automotive manufacturers create lightweight vehicle components, reducing overall weight and improving fuel efficiency.
Similarly, in the AEC business, generative design can be used to optimize building designs for energy efficiency and structural integrity. In addition, generative design is also finding applications in the manufacturing of consumer goods and drones, where it can help improve product performance and reduce production costs. The use of powerful tools such as 3D renderers, graphic processing units, and flow simulators enables engineers to analyze design alternatives in real-time, leading to more informed decision-making and improved product quality. Ultimately, the integration of generative design into industrial manufacturing processes is set to revolutionize the way products are designed and manufactured, providing a competitive edge in the market. Thus, such trends will shape the growth of the market during the forecast period.
Interoperability issues with other software and legacy systems is the major challenge that affects the growth of the market. In the realm of industrial manufacturing, the digital transformation has led to the deployment of generative design solutions, revolutionizing the design exploration process across various end use industries. However, interoperability issues persist as a significant challenge, with incompatibility problems between different software applications hindering effective collaboration. This lack of interoperability can lead to inefficiencies and errors in information sharing, particularly in industries such as automotives and aerospace, where precise calculations are crucial for factors like aerodynamic efficacy, durability, passenger safety, and environmental impact.
For instance, in the Architecture, Engineering, and Construction (AEC) business, building information modeling (BIM) has become essential for efficient collaboration and information sharing. Yet, the integration of generative design solutions into this process necessitates addressing interoperability issues to ensure seamless workflow. A 3D renderer or a flow simulator, for example, may require specific graphical processing unit capabilities or software versions, making it imperative to ensure compatibility. In the automotive industry, generative design can be used to optimize vehicle weight and design, but the integration of these solutions with existing Computer-Aided Design (CAD) systems and simulation tools must be seamless to maximize their potential benefits. Similarly, in the manufacturing of consumer goods or drones, generative design can lead to lightweight and efficient designs, but the lack of interoperability can hinder the adoption of these solutions, ultimately impacting the competitiveness of the industry. In conclusion, addressing interoperability issues is essential for the successful implementation of generative design solutions in industrial manufacturing, enabling efficient collaboration, reducing errors, and maximizing the potential benefits for end-use industries. Hence, the above factors will impede the growth of the market during the forecast period
The market forecasting report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.
Altair Engineering Inc. - The company offers a generative design that offers design, simulation, digital manufacturing, and collaboration software which includes Catia, Bovina, Goveia, solid works, 3dvia, envoi, net vibes, centric, under the brand name of Altair Engineering Inc.
The market research and growth report also includes detailed analyses of the competitive landscape of the market and information about key companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key market players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
The market share growth by the Software segment will be significant during the forecast period. Generative design, a revolutionary approach to product design and development, leverages advanced technologies such as AI, machine learning, and big data to automate the design process. This software solution caters to various industries, including Aerospace & defense industry and industrial manufacturing, where complex spatial requirements and design goals are paramount.
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The Software segment showed a gradual increase in the market share of USD 73.60 million in 2018. Architects and engineers in the architecture and construction industry also benefit from generative design, particularly in building information modeling and additive manufacturing technology. Generative design software uses IoT data to learn and adapt, enabling automated design, planning processes, and job planning. SMEs in these industries can leverage design and consulting services, as well as support and maintenance services, to implement this technology effectively. The talent gap in engineering and design can be bridged through learning and training programs. Generative design software can be deployed on-premises or in the cloud, ensuring data security and flexibility. Key industries, such as plumbing, mechanical tasks, and electrical tasks, can streamline their design processes with this technology.
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North America is estimated to contribute 36% to the growth of the global market during the forecast period. Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
Generative design, a revolutionary approach to product design and development, leverages advanced technologies such as AI, machine learning, and big data to automate the design process. This software solution is gaining popularity in various industries, including aerospace and defense, industrial manufacturing, and architecture and construction. Engineers and architects are increasingly adopting generative design software to streamline their planning processes, address design goals, and meet spatial requirements. Services in this domain include design and consulting, as well as support and maintenance. On-premises deployment and cloud-based solutions are available to cater to diverse business needs. Data security is a top priority, ensuring that sensitive project information remains protected. Generative design software can be utilized for various tasks, such as plumbing, mechanical, and electrical design in construction projects. Additive manufacturing technology, like 3D printing, is a natural fit for this approach. Construction companies in the SME sector can particularly benefit from automated design capabilities to address the talent gap in their workforce. Advanced technologies like IoT and Building Information Modeling (BIM) are being integrated into generative design software to enhance its functionality. The aerospace and defense industry and industrial manufacturing sector are early adopters, with architecture and construction industries following suit. The future of generative design holds immense potential, as it continues to redefine the landscape of product design and development.
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million " for the period 2024-2028, as well as historical data from 2018 - 2022 for the following segments.
Generative Artificial Intelligence (AI) Market: Generative Artificial Intelligence (AI) Market Analysis North America, APAC, Europe, South America, Middle East and Africa - US, China, Germany, UK, France - Size and Forecast
Industrial Design Market: Industrial Design Market Growth, Size, Trends, Analysis Report by Type, Application, Region and Segment Forecast
Simulation Software Market: Simulation Software Market Analysis North America, APAC, Europe, South America, Middle East and Africa - US, China, Japan, Germany, UK - Size and Forecast
Generative design is revolutionizing product design and development in various industries, including aerospace & defense, industrial manufacturing, and architecture & construction. This innovative approach leverages advanced technologies like AI, machine learning, big data, and IoT to automate design processes and create optimized solutions. Generative design software analyzes design goals and spatial requirements to generate designs that meet specifications, reducing the need for manual iteration. Engineers and architects benefit from this technology by streamlining their workflows and enhancing their creativity. Generative design services include design & consulting, support & maintenance, and learning & training. On-premises deployment and cloud-based solutions cater to different business needs.
Furthermore, designers in these industries face unique challenges, such as complex spatial requirements, integration with building information modeling, and the need for automated design in industries like construction, where tasks like plumbing, mechanical, and electrical work are common. SMEs in these industries can also benefit from generative design to bridge the talent gap and stay competitive. Additive manufacturing technology, such as 3D printing, further enhances the potential of generative design by enabling the creation of complex geometries and structures. As the market for generative design continues to grow, it is essential to prioritize data security and ensure seamless integration with existing systems and workflows. The future of generative design lies in its ability to optimize design processes, reduce costs, and improve efficiency across various industries. With continued advancements in AI and machine learning, we can expect to see even more innovative applications of generative design in the future.
Market Scope |
|
Report Coverage |
Details |
Page number |
147 |
Base year |
2023 |
Historic period |
2018 - 2022 |
Forecast period |
2024-2028 |
Growth momentum & CAGR |
Accelerate at a CAGR of 18.54% |
Market growth 2024-2028 |
USD 195.2 million |
Market structure |
Fragmented |
YoY growth 2023-2024(%) |
15.18 |
Regional analysis |
North America, Europe, APAC, South America, and Middle East and Africa |
Performing market contribution |
North America at 36% |
Key countries |
US, Germany, China, UK, and Japan |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
Key companies profiled |
3DVerkstan AB, A2K Technologies, Altair Engineering Inc., AMFG , ANSYS Inc., Autodesk Inc., Bentley Systems Inc., CIDEON Software & Services GmbH & Co. KG, Dassault Systemes SE, Desktop Metal Inc., Diabatix NV, DIGITAL DESIGN SOLUTIONS, GEO - Design Engineering Services INC., Hexagon AB, nTopology Inc., ParaMatters Inc., Sculpteo Inc., Siemens AG, and Simufact Engineering GmbH |
Market dynamics |
Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, Market condition analysis for market forecast period |
Customization purview |
If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized. |
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Component
7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Opportunity/Restraints
10 Competitive Landscape
11 Competitive Analysis
12 Appendix
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