Global Generative AI in Industrial Design Market By Deployment Mode(On-Premise and Cloud-Based), By Application (Product Design, Customization, and Others), By Industry (Automotive, Aerospace, Furniture, and Others), By Region and Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends, and Forecast 2023-2032

Report Overview

Generative AI in Industrial Design Market size is expected to be worth around USD 1345.9 Mn by 2032 from USD 158.9 Mn in 2022, growing at a CAGR of 24.5% during the forecast period from 2023 to 2032.

Generative AI is playing an increasingly important role in the industrial design market. This technology uses algorithms & neural networks to generate new content like images, designs, and audio similar to what humans can create. Generative AI in industrial design means an iterative design process containing various software that allows users to create more accurate product designs to create actual product designs.

Recently, the increasing trend toward light vehicle products has created a demand for generative AI in industrial design. Engineers or designers also enter design goals such as materials, production technique, and performance. The generative AI easily generates design alternatives by discovering all variants of solutions. Generative AI allows industrial designers to explore huge design spaces, unlock new levels of creativity and efficiency, and optimize parameters.

Driving factors

Advanced Technologies to Increase Generative AI in Industrial Design Market

There are several drivers for the adoption of generative AI in the industrial design market. One main driver is the advanced technologies in industrial designs. Companies in a variety of industries are looking for ways to increase production through industrial processes to enhance output with reducing costs. For that companies are using new technology to increase product efficiency and advances. Advancements in technologies such as  AI, IoT, big data, and machine learning have boosted market growth. AI gives some guidelines to industries with visualization and complex planning that can be easily abstracted with 3D modeling design.

Another driver for generative AI in industrial design is that design optimization. Designs can be optimized by generative AI by evaluating and generating several iterations using specified criteria. This technology allows designers to explore a larger range of design options efficiently and rapidly, which led to improved products with increased performance.

Restraining Factors

Data Availability and Quality

Generative AI models require large amounts of high-quality data to produce meaningful and accurate designs. Obtaining diverse and well-curated datasets that capture the need for design features and specifications can be challenging. The limited availability of relevant and comprehensive design data may hinder the effectiveness and applicability of generative AI in industrial design.

Covid-19 Impact on Generative AI in Industrial Design Market

The COVID-19 pandemic has significantly impacted the generative AI in the industrial design market. The pandemic has disturbed the traditional design processes that heavily depend on prototyping and physical collaboration.

With remote work and limited access to design studios, industrial designers faced so many challenges in arranging collaborative design sessions. COVID-19 disruption has affected the integration of generative AI into the design workflow. The pandemic has increased the adoption of collaboration tools and remote work.

Generative AI tools have allowed designers to share design files, collaborate remotely, and receive real-time responses from team members, irrespective of their physical locations. This has permitted design teams to continue working on projects and leveraging generative AI algorithms in spite of limitations compulsory by the pandemic.

Also, with limitations on physical testing and prototyping, there has been greater importance on simulation and digital design during the pandemic. Generative AI tools have facilitated the creation of virtual prototypes and the imitation of different design iterations. The pandemic has heightened the focus on productivity and efficiency.

Deployment Mode Analysis

The On-Premise Segment Accounted for the Largest Revenue Share in Generative AI in Industrial Design Market in 2022.

Based on deployment mode market is segmented into on-premise and cloud-based. The on-premise segment holds the largest revenue share of 60% in the industrial design market. In on-premise software is installed on clients' systems and organizations' servers. Therefore, the on-premise segment has a significant market share, but the cloud-based segment also grows over the forecast period.

Cloud-Based is Identified as the Fastest Growing Deployment Segment in Projected Period.

The cloud-based segments will also grow in upcoming years due to cloud-based solutions being scalable, which allows companies to easily adjust their resources to match the changes in demand without the need for additional hardware or infrastructure. They also offer greater flexibility & accessibility as industrial designers & customers can access these solutions from anywhere with an internet connection. Cloud-based solutions are typically more cost-effective than on-premise solutions as they do not require a major initial investment or ongoing maintenance costs.

Application Analysis

Based on application Product Design, Customization, Material Design, Prototyping and Simulation, and Other Applications. The product design segment dominated the generative AI in the industrial design market. With the arrival of new AI technology, industrial design has enlarged its popularity amongst architects and engineers. Because it provides lots of design suggestions directed by many factors such as weight, cost, material, and load.

Generative AI enables designers to explore a large range of design possibilities and iterate on designs quickly. Designers input design objectives and parameters into algorithms and constraints, which then generate multiple design iterations. This iteration may feature various shapes, material distributions, and configurations, allowing designers to explore innovative design option options that may have been overlooked through traditional design processes.

Industry Analysis

Based on industry market is segmented into automotive, aerospace, furniture, construction and architecture, and other industries. The automotive segment dominated the generative AI in the industrial design market and is projected to grow at a CAGR of 26%. Industrial design in the automotive industry involves the creation and development of vehicles to be safe and functionally efficient.

The automotive industrial design focuses on creating distinctive exteriors for vehicles and is visually appealing. Automakers are adding more electronics and electrical companies into their car to enable a more excellent range of electrically stimulating features. Generative design is a vital enabler for new and established automotive businesses to shape next-generation vehicle platforms.

Key Market Segments

Based on Deployment Mode

• On-Premise
• Cloud-Based

Based on Application

• Product Design
• Customization
• Material Design
• Prototyping and Simulation
• Other Applications

Based on Industry

• Automotive
• Aerospace
• Furniture
• Construction & Architecture
• Other Industries

Growth Opportunity

AI Technologies to Create Profitable Opportunities in the Generative AI in Industrial Design Market

Based on industry market is segmented into automotive, aerospace, furniture, construction and architecture, and other industries. The automotive segment dominated the generative AI in the industrial design market and is projected to grow at a CAGR of 16%. Industrial design in the automotive industry involves the creation and development of vehicles to be safe and functionally efficient.

The automotive, industrial design focuses on creating distinctive exteriors for vehicles and is visually appealing. Automakers are adding more electronics and electrical companies into their car to enable a more excellent range of electrically stimulating features. Generative design is a vital enabler for new and established automotive businesses to shape next-generation vehicle platforms.

Product Customization

Generative AI can transform product customization by providing custom-made design solutions to individual customers. By including preferences, user input, and other related data, AI algorithms can generate unique variations of product design. This allows customers to personalize and customize their products, meeting their preferences and particular requirements.

Latest Trends

Personalization, AI-assisted Prototyping, Sustainability and Efficiency, and Integration of IoT are Trending in the Market.

The latest trends in generative AI for the industrial design market include personalization, AI-assisted prototyping, sustainability and efficiency, and integration of IoT. Using generative AI companies can provide personalized design solutions to consumers. Generative AI allows for the making of Designs based on particular user preferences, which led to more customer-centric products.

Furthermore, generative AI is playing an increasingly important role in the industrial design market helping companies to improve the customer experience and industrial design.

Regional Analysis

North America Accounted for the Largest Revenue Share in Generative AI in Industrial Design Market in 2022.

North America will be the dominant region in the global generative AI in the industrial design market. It is expected that North America will have the highest revenue share, 46.5%. Owing to the presence of companies like Google, Tesla, Microsoft, and various startups in this region. North America is traditionally the leader in AI research & development and it continues to be at the forefront of the generative AI market. In these regions, there are many AI companies & research institutions that are developing cutting-edge generative AI technologies for various industries like healthcare, finance, and entertainment.

Europe is expected as Fastest Growing Region in Projected Period in Generative AI in Industrial Design Market.

Europe is expected as the fastest-growing region in the forecast period in the Generative AI in the industrial design market. Companies like BMW, Philips, and Airbus in this region are investing in AI to develop their design process. Also, many companies in these countries are using generative AI for improving their products & services to gain a competitive advantage in the global market.

Key Regions and Countries

North America

• US
• Canada
• Mexico

Western Europe

• Germany
• France
• The UK
• Spain
• Italy
• Portugal
• Ireland
• Austria
• Switzerland
• Benelux
• Nordic
• Rest of Western Europe

Eastern Europe

• Russia
• Poland
• The Czech Republic
• Greece
• Rest of Eastern Europe

APAC

• China
• Japan
• South Korea
• India
• Australia & New Zealand
• Indonesia
• Malaysia
• Philippines
• Singapore
• Thailand
• Vietnam
• Rest of APAC

Latin America

• Brazil
• Colombia
• Chile
• Argentina
• Costa Rica
• Rest of Latin America

Middle East & Africa

• Algeria
• Egypt
• Israel
• Kuwait
• Nigeria
• Saudi Arabia
• South Africa
• Turkey
• United Arab Emirates
• Rest of MEA

Market Share & Key Players Analysis

The market for generative AI in industrial Design is still evolving & expanding rapidly with the large number of players competing for market share. The market for generative AI in industrial Design is highly competitive, with a large number of players offering a range of AI-powered solutions. The key players in this market are those who have developed strong AI capabilities & have a track record of delivering high-quality industry Design solutions.

Top Key Players in Generative AI in Industrial Design Market

• Autodesk, Inc.
• Siemens
• Adobe Inc.
• Ansys, Inc.
• Dassault Systèmes SE
• PTC Inc.
• Hexagon AB
• Other Key Players

Recent Development

In January 2019, Autodesk has work in partnership with HP and GE to develop generative design software tools compatible with 3D printers. This helps Autodesk to surge in prototyping for 3D parts.

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