The global generative design market size is projected to reach USD 7 billion by 2030, from USD 2 billion in 2021, and is anticipated to register a CAGR of 16 % during 2022–2030. A design exploration approach is known as generative design. Designers or engineers enter design goals, as well as characteristics like performance or spatial requirements, materials, production techniques, and cost limitations, into generative design software. The software swiftly generates design alternatives by exploring all conceivable variants of a solution. It tests and learns what works and what doesn't with each iteration.
Get more information on this report Download Sample Report
Companies in a variety of industries are looking for ways to improve production efficiency throughout their manufacturing processes in order to maximize output while minimizing costs. Companies are rapidly using new technology to drive product innovation and production efficiency in order to achieve this.
Advanced technologies minimize industry fragmentation, increase efficiency, and lower the high costs of insufficient interoperability. Advancements in big data, IoT, AI, and machine learning, among other technologies, have propelled this expansion.
Building Information Modeling (BIM) is quickly becoming a standard in the architecture and construction industries. BIM is a virtual design tool for developing a set of interconnected policies, processes, and technologies, as well as a technique for managing significant building design and project data in digital format, with major advantages over traditional computer-aided design (CAD).
The market's growth is being aided by additive manufacturing technology, which provides a variety of opportunities in the production, design, and performance of unique architectural shapes, construction systems, and materials. It is a more innovative, quicker, more agile approach to product development and manufacturing.
The planning and designing stage consumes a large portion of a budget. As a result, any delays in this process result in financial losses and lower production quality. To overcome such obstacles, solid design and planning are essential, which aid in the production's completion on schedule and on budget.
AI is assisting construction companies with better visualizing and planning complex plumbing, mechanical, and electrical tasks that can be easily conceptualized within a 3D modeling design. Logistical issues can be resolved even when planning, saving time and money during the construction phase.
Advancements in technology necessitate either equipping existing workers with the technology or replacing them with professional and experienced workers. This is largely due to the difficulty of using the software and other technical tools.
There is currently a skills gap preventing industries from optimizing their production processes. As a result of a scarcity of qualified and skilled applicants, manufacturers across industries are having difficulty operating and deploying generative design software and other technologies.
The use of automated design and planning processes, operation of generative design tools, and job planning are among the core knowledge areas where there is a deficit. There is also a significant disconnect between students' and employers' opinions of the significance of design abilities, problem-solving skills, and expertise in the aforementioned areas. Because of the intricacy involved in using the software, this underscores the fact that the talent gap is a major stumbling block to the market's growth.
Furthermore, even in developing nations, SMEs have a poor adoption rate since training and educating existing designers, or replacing them with professional and competent designers, raises the cost of manufacturing. This prevents SMEs from using such software since they cannot afford the costs. As a result, this aspect is limiting market expansion.
The manufacturing industry's skills requirements have shifted from largely manual work to increasingly skill-intensive programming and control of complicated machinery. Employees with lower qualifications, on the other hand, are at significant risk of being replaced unless they can be retrained.
The generative design focuses on an enhanced approach to engineering that was previously unavailable in digital contexts. The procedure closely resembles an evolutionary approach to design, taking into account all of the necessary traits. In addition, when high-performance computing and the cloud are combined, the industry has seen previously unimaginable capabilities.
Companies like Under Armour, Airbus, Black & Decker, and others in many areas are rapidly embracing generative design as a trend that is gradually altering the engineering sector's future. It has enabled engineers to delegate the task of finding the best solutions to a set of limitations to the software, considerably enhancing the engineer's creativity.
Furthermore, examples of generative design in many industries are becoming more widespread, and engineers are increasingly incorporating the tool into their processes. These software's creating the future continually augment the way goods are made and engineered. The end of product design and manufacturing is rapidly evolving.
Modern technologies are replacing traditional ways. Digital simulation and analysis software has advanced to the point that designs may now be reviewed in seconds or less. With no operator interaction, complex algorithms can automatically alter the geometry of a part between simulations. These new generative design tools can also explore a considerably bigger universe of possible solutions, comparing the outcomes of millions of simulations to narrow in on a design that can yield the best combination of specified features, thanks to AI approaches.
The emergence of COVID-19 prompted the manufacturing industry to rethink its traditional manufacturing procedures, with a focus on digital transformation and advanced manufacturing practices throughout production lines. Robot deployment and the adoption of 3D printing, additive manufacturing, and generative design manufacturing technologies are examples of these practices.
Manufacturers are also being driven to develop and execute a variety of novel ways to product and quality control. The likelihood of COVID-19 spreading is mainly caused by interior design, occupancy, and ventilation. Over 90% of all illnesses originate in enclosed, heavily populated situations with inadequate air exchange or recycled air.
Due to the pandemic's social distancing needs, there are more obstacles when planning and building public spaces. This is also projected to increase demand for technologies like generative design software.
Australia's national COVID-19 safe workplace principles stipulate that businesses and workers must actively limit COVID-19 transmission while at work and plan for the likelihood of COVID-19 instances in the workplace. They must respond quickly, appropriately, effectively, and efficiently, and by health authority recommendations. The AEC business attempts to design and construct settings with fast-changing aims and restrictions related to the new rules, such as 1.5-meter social distance limits and other client requirements.
By deployment, the market is segmented into on-premises and cloud. The on-premises deployment accounted for the largest shareholder in the general design market and is anticipated to grow at a CAGR of 15%, generating revenue of USD 5 billion by 2030.
On-premise software is typically installed on clients' personal computers and servers on the organization’s premises. On-premise deployments have a considerable market share, but cloud deployments are likely to rise dramatically over the next several years.
On-premise implementation of generative design software gives businesses control over their data, business processes, and internal regulations, allowing them to manage risks better and comply with external compliance standards. The segment's growth can also be due to the flexibility it provides in terms of customizing software to meet the needs of the enterprise, as well as data protection and privacy. Design is critical for product distinctiveness and can disclose a company's strategy.
By end-user vertical, the industry is divided into automotive, aerospace and defense, architecture and construction, industrial manufacturing, and other end-user verticals. The automotive segment dominated the global generative design market and is projected to grow at a CAGR of 16%, generating a revenue of USD 3 billion by 2030.
Automakers are adding more electrical and electronic (E/E) components into their car chassis to enable a more excellent range of electrically stimulating features. The increased complexity of automobile design necessitates a shift from conventional design flows that rely primarily on manual design effort, data sharing, and requirement tracking.
Generative design is a crucial enabler for new and established automotive businesses to build next-generation vehicle platforms. Teams can manage complexity and do early design exploration and optimization with the capacity to develop electrical system architectures automatically.
Based on region, the global network encryption market share is divided into North America, Europe, Asia-Pacific, and the Rest of the World (Latin America and the Middle East & Africa)
Regional Growth Insights Request Sample Pages
The North American region dominated the global generative design market, with revenue forecasted to grow at a CAGR of 15% to USD 3 billion by 2030.
The generative design market is likely to be led by North America, including the United States and Canada. An increase in demand for storage solutions and industrial automation and a greater focus on minimizing infrastructure cost, a growing requirement for business insights, and real-time data availability are driving the market.
GM was the first major automaker in North America to use Autodesk, generative design software, to outperform traditional design optimization techniques in terms of weight reduction. By 2023, GM hopes to have at least 20 electric or fuel-cell vehicles on the market, with generative design assisting in resolving various issues by allowing for lighter vehicles and a shorter supply chain.
The Europe region accounts for the second-largest share of the global generative design market, with a CAGR of 17% expected to generate USD 2 billion in sales by 2030.
The European automotive sector has risen to a significant position in the global automobile industry. Europe is seeing widespread adoption of 3D printing technology for design formulation and R&D applications in the automobile industry, thanks to major multinational car OEMs.
Top automakers such as Mercedes-Benz, Audi, BMW, Jaguar, Land Rover, Volkswagen, and others have created a potential market for 3D printing and technology in Europe. Over the last 25 years, the BMW Group has used 3D printing technology to design various auto parts. It printed nearly 200,000 3D components in 2018, a 42% increase over the previous years.