The generative artificial intelligence (AI) in product design market size is expected to see rapid growth in the next few years. It will grow to $27.67 billion in 2030 at a compound annual growth rate (CAGR) of 11.8%. The growth in the forecast period can be attributed to integration of AI in design workflows, demand for sustainable product design, cloud based collaboration tools, growth of digital twins, customization driven manufacturing. Major trends in the forecast period include AI driven design exploration, automated design optimization, generative simulation models, mass customization enablement, AI assisted prototyping.
The increasing focus on smart infrastructure projects is expected to drive the growth of generative artificial intelligence (AI) in the product design market in the coming years. Smart infrastructure projects involve initiatives that utilize advanced technologies and data-driven methods to enhance the design, operation, and management of infrastructure systems. The rising emphasis on smart infrastructure projects is fueled by the need for sustainable urban development to effectively manage population growth, along with advancements in Internet of Things (IoT) technologies that support real-time monitoring and data-informed decision-making. Generative AI in product design supports smart infrastructure projects by streamlining design processes and enabling the development of innovative and efficient solutions through rapid analysis of large datasets and simulation of multiple scenarios. For example, in February 2024, according to the Institute of the Americas, a US-based non-profit and independent organization, global momentum in smart city development continued to strengthen, with spending projected to exceed $190 billion by the end of 2023, regional IoT connections expected to reach 1.2-1.3 billion by 2025, IoT revenue in Latin America forecast to surpass $47 billion by 2025, and industrial IoT deployments increasingly focused on smart buildings and smart utilities, accounting for one-third and 23 percent, respectively, by 2025. Therefore, the growing emphasis on smart infrastructure projects is fueling the expansion of generative artificial intelligence (AI) in the product design market.
Major companies in the generative artificial intelligence (AI) in product design market are advancing the industry with innovative solutions, such as generative AI for digital product design, to enhance design processes across various sectors. Generative AI for digital product design involves using AI technologies to assist in creating and developing digital products such as websites, apps, and user interfaces. For example, in June 2023, Flytxt, a Netherlands-based provider of AI-powered SaaS solutions, introduced a Generative AI tool to improve digital product design by enabling faster and more effective creation of high-performing products. This tool addresses the challenge of quickly and efficiently developing products at scale by programmatically evaluating multiple design options to identify the most effective ones. It optimizes factors such as price points, product attributes, and bundling options to achieve business goals such as revenue growth and customer retention. This generative AI application is notable for providing transparency in decision-making, allowing product managers to review and understand the rationale behind AI-generated designs before launching products.
In July 2024, Canva, an Australia-based graphic design company, acquired Leonardo.AI for an undisclosed amount. This acquisition is intended to enhance Canva's generative AI capabilities, allowing users to create high-quality visual assets more efficiently and broadening its suite of AI tools for improved creative control and flexibility. Leonardo.AI is an Australian developer of a generative artificial intelligence platform specializing in interior design tools.
Major companies operating in the generative artificial intelligence (AI) in product design market are Microsoft Corporation, Amazon Web Services Inc., Siemens AG, International Business Machines Corporation (IBM), NVIDIA Corporation, Adobe Inc., Dassault Systèmes SE, Hexagon AB, Autodesk Inc., ANSYS Inc., PTC Inc., Unity Technologies Inc., Bentley Systems Incorporated, Altair Engineering Inc., Xometry Inc., nTopology Inc., Onshape Inc., ParaMatters, Dyndrite, MSC Software, Spectral Labs, GenCAD‑3D, CADScribe, Shapr3D, SimScale.
North America was the largest region in the generative artificial intelligence (AI) in product design market in 2025. The regions covered in the generative artificial intelligence (AI) in product design market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence (AI) in product design market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have impacted the generative artificial intelligence in product design market by increasing costs of imported hardware, design workstations, and manufacturing related computing infrastructure. These effects are visible in automotive, industrial, and construction sectors across asia pacific, europe, and north america. Higher costs have influenced investment decisions for advanced design platforms. Positively, tariffs are encouraging localized production, cloud based design tools, and innovation in cost optimized generative design software, strengthening long term market growth.
The generative artificial intelligence (AI) in product design market research report is one of a series of new reports that provides generative artificial intelligence (AI) in product design market statistics, including generative artificial intelligence (AI) in product design industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in product design market share, detailed generative artificial intelligence (AI) in product design market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in product design industry. This generative artificial intelligence (AI) in product design market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Generative AI in product design involves using artificial intelligence algorithms and models to support the creation and optimization of design solutions. This approach employs advanced algorithms to automate and refine the design process by analyzing data, exploring different design options, and offering insights that boost creativity and efficiency.
The primary deployment models for generative AI in product design are cloud-based and on-premises. Cloud-based generative AI refers to tools and platforms hosted on remote servers and accessed via the internet. This model facilitates various applications, such as design exploration, optimization and simulation, customization, and personalization, serving a wide range of end-users, including automotive manufacturers, healthcare and medical device manufacturers, and construction and architecture firms, among others.
The generative artificial intelligence (AI) in product design market consists of revenues earned by entities by providing services such as design optimization, rapid prototyping, simulation and testing, automated design generation, and design for manufacturability. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence (AI) in product design market also includes sales of products including text-to-image generation tools, generative design software, rapid prototyping kits, and generative AI starter kits. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Generative Artificial Intelligence (AI) In Product Design Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses generative artificial intelligence (AI) in product design market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for generative artificial intelligence (AI) in product design? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The generative artificial intelligence (AI) in product design market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Deployment Model: Cloud-Based; On-Premises2) By Application: Design Exploration And Ideation; Design Optimization And Simulation; Customization And Personalization; Other Applications
3) By End-User: Automotive Manufacturers; Healthcare And Medical Device Manufacturers; Contraction And Architecture Firms; Other End-Users
Subsegments:
1) By Cloud-Based: Public Cloud Generative Artificial Intelligence (AI) Product Design Platforms; Private Cloud Generative Artificial Intelligence (AI) Product Design Platforms; Hybrid Cloud Generative Artificial Intelligence (AI) Product Design Solutions; Software-As-A-Service (SaaS) Generative Artificial Intelligence (AI) Design Tools2) By On-Premises: Enterprise On-Premises Generative Artificial Intelligence (AI) Product Design Systems; Department-Level On-Premises Generative Artificial Intelligence (AI) Design Solutions; Custom-Deployed On-Premises Generative Artificial Intelligence (AI) Design Platforms; Secure In-House Generative Artificial Intelligence (AI) Product Design Tools
Companies Mentioned: Microsoft Corporation; Amazon Web Services Inc.; Siemens AG; International Business Machines Corporation (IBM); NVIDIA Corporation; Adobe Inc.; Dassault Systèmes SE; Hexagon AB; Autodesk Inc.; ANSYS Inc.; PTC Inc.; Unity Technologies Inc.; Bentley Systems Incorporated; Altair Engineering Inc.; Xometry Inc.; nTopology Inc.; Onshape Inc.; ParaMatters; Dyndrite; MSC Software; Spectral Labs; GenCAD‑3D; CADScribe; Shapr3D; SimScale
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Generative AI in Product Design market report include:- Microsoft Corporation
- Amazon Web Services Inc.
- Siemens AG
- International Business Machines Corporation (IBM)
- NVIDIA Corporation
- Adobe Inc.
- Dassault Systèmes SE
- Hexagon AB
- Autodesk Inc.
- ANSYS Inc.
- PTC Inc.
- Unity Technologies Inc.
- Bentley Systems Incorporated
- Altair Engineering Inc.
- Xometry Inc.
- nTopology Inc.
- Onshape Inc.
- ParaMatters
- Dyndrite
- MSC Software
- Spectral Labs
- GenCAD‑3D
- CADScribe
- Shapr3D
- SimScale
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 17.69 Billion |
| Forecasted Market Value ( USD | $ 27.67 Billion |
| Compound Annual Growth Rate | 11.8% |
| Regions Covered | Global |
| No. of Companies Mentioned | 26 |


