Generative Artificial Intelligence (AI) in Product Design Market Report 2025

This Generative Artificial Intelligence (AI) in Product Design market report delivers an in-depth analysis of the market’s key characteristics, including size, growth potential, and segmentation. It provides a detailed breakdown of the market across major regions and leading countries, highlighting historical data and future growth projections. The report also examines the competitive landscape, market share insights, emerging trends, and strategic developments shaping the market.

The generative artificial intelligence (AI) in product design market size has grown rapidly in recent years. It will grow from $14.1 billion in 2024 to $15.84 billion in 2025 at a compound annual growth rate (CAGR) of 12.4%. The growth in the historic period can be attributed to the expansion of educational programs, changing consumer expectations, cost-effective design solutions, real-time design adjustments, and globalization of design practices.

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 $24.99 billion in 2029 at a compound annual growth rate (CAGR) of 12.1%. The growth in the forecast period can be attributed to increasing emphasis on sustainability, increasing the popularity of industrial design, increasing computational power, increasing educational programs, and increasing public awareness and acceptance. Major trends in the forecast period include multimodal data integration, enhanced text generation, quantum computing integration, AI-enhanced user experience (UX) design, and cross-disciplinary design integration.

The increasing focus on smart infrastructure projects is expected to drive the growth of the generative artificial intelligence (AI) in product design market in the future. Smart infrastructure projects use advanced technologies and data-driven methods to enhance the design, operation, and management of infrastructure systems. This focus is driven by the need for sustainable urban development to manage population growth efficiently and by advancements in Internet of Things (IoT) technology that facilitate real-time monitoring and data-driven decision-making. Generative AI supports smart infrastructure projects by optimizing design processes and generating innovative, efficient solutions through rapid data analysis and scenario simulation. For example, in July 2024, the Office for National Statistics reported that digital infrastructure investment reached $12.4 billion (£9.2 billion) in 2022, marking a 22.9% increase from 2021. Thus, the growing emphasis on smart infrastructure projects is fueling the growth of the generative AI in 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., SparkCognition Inc., AI21 Labs Ltd., Cohere Inc., GeekyAnts Inc., LeewayHertz Inc., nTopology Inc., Onshape Inc., DataToBiz Inc., Markovate Inc., Hacarus Inc.

North America was the largest region in the generative artificial intelligence (AI) in product design market in 2024. The regions covered in the generative artificial intelligence (AI) in product design market report are Asia-Pacific, 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, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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 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.

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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