Generative Artificial Intelligence (AI) in Architecture Market Report 2025

This Generative Artificial Intelligence (AI) in Architecture 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 architecture market size has grown exponentially in recent years. It will grow from $1.05 billion in 2024 to $1.48 billion in 2025 at a compound annual growth rate (CAGR) of 41.3%. The growth in the historic period can be attributed to rise of parametric design, the need for sustainable and efficient building practices, increasing complexity in architectural projects, the growing demand for personalized design solutions, the rise of computational design methodologies, the growing importance of sustainability.

The generative artificial intelligence (AI) in architecture market size is expected to see exponential growth in the next few years. It will grow to $5.85 billion in 2029 at a compound annual growth rate (CAGR) of 41.1%. The growth in the forecast period can be attributed to expansion of digital fabrication technologies, introduction of parametric design tools, increasing demand for smart and adaptive buildings, growing emphasis on user experience, expansion of virtual and augmented reality applications. Major trends in the forecast period include rise of AI-driven adaptive building systems, integration with real-time environmental data, growth in AI-generated sustainable design solutions, the emergence of AI-powered design assistants, increasing use of generative design in urban planning, and the proliferation of AI-enhanced virtual and augmented reality tools for architectural visualization.

The growing demand for infrastructure development projects is expected to drive the expansion of generative artificial intelligence (AI) in the architecture market. Infrastructure development projects involve large-scale initiatives aimed at constructing, enhancing, or expanding the fundamental systems and structures crucial for the operation and growth of societies or organizations. Economic growth fuels infrastructure development by increasing the need for essential projects such as roads and utilities, which in turn stimulates further economic activity and investment. Generative AI enhances these projects by streamlining design processes, improving efficiency, and reducing costs. It allows architects and planners to quickly generate innovative designs, assess multiple scenarios, and refine project plans, thus increasing the demand for infrastructure development. For example, in July 2024, the Office for National Statistics (ONS), a UK government department, reported that total general government investment in infrastructure in the UK rose by 9.6% to £26 billion ($28.76 billion) in 2022 compared to 2021. Consequently, the rising demand for infrastructure development projects is driving the growth of generative AI in architecture.

Leading companies in the generative artificial intelligence in architecture market are focusing on creating subscription-based design platforms to explore complex design possibilities and develop innovative architectural solutions. A subscription-based design platform is a software service that provides users with continuous access to design tools and resources through regular payments, typically on a monthly or annual basis. This approach eliminates large upfront costs and often includes customer support and regular updates. For example, in January 2024, Poliark, a US-based AI company, introduced Kend, a cloud-based application designed to facilitate real-time collaboration among team members and stakeholders. This platform allows simultaneous work on the same model, reducing project delays and errors. Kend enables users to generate 3D models and floor plans from text prompts, producing results in approximately 30 seconds. It also supports interactive design changes and integrates existing buildings into new projects, helping firms modernize or expand designs. Additionally, Kend includes a catalog of 500 materials with embedded carbon data, assisting users in forecasting and managing carbon emissions, which supports adherence to new carbon tracking regulations in construction.

In April 2024, One Click LCA, a Finland-based construction software company, acquired Buildrz for an undisclosed sum. This acquisition is intended to strengthen One Click LCA's role as a leading sustainability software platform for the construction and manufacturing industries. Buildrz, a France-based company, specializes in generative artificial intelligence (AI) technology for developing 3D models and designs for architects.

Major companies operating in the generative artificial intelligence (AI) in architecture market are Microsoft Corporation, NVIDIA Corporation, Adobe Inc., Dassault Systèmes S.A., Autodesk Inc., ANSYS Inc., Hexaware Technologies Limited, Bentley Systems Inc., Altair Engineering Inc., Graphisoft SE, Matterport Inc., SketchUp, Bricsys NV, LeewayHertz, OpenSpace Labs Inc., Sidewalk Labs LLC, TestFit Inc., Archistar Pty Ltd., Coohom Inc., Digital Blue Foam Pte Ltd., TOGAL.AI INC.

North America was the largest region in the generative artificial intelligence in architecture market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in architecture 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 architecture market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Generative artificial intelligence in architecture involves using advanced algorithms to autonomously create and refine designs by learning from existing data. This technology allows architects to explore a wide range of design options rapidly, enhancing both creativity and decision-making. The primary aim is to automate and optimize the design process, freeing architects to address more complex challenges.

Generative AI in architecture can be deployed either via cloud-based or on-premises models. Cloud-based solutions utilize remote servers and scalable computing resources accessible over the Internet, enabling flexible collaboration and resource management without heavy local hardware requirements. These solutions incorporate technologies such as machine learning algorithms, software platforms, and hardware infrastructure for applications such as architectural design, urban planning, and interior design. End-users include architectural firms, real estate developers, government agencies, municipalities, and construction companies.

The generative artificial intelligence (AI) in architecture market research report is one of a series of new reports that provides generative artificial intelligence (AI) in architecture market statistics, including generative artificial intelligence (AI) in architecture industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in architecture market share, detailed generative artificial intelligence (AI) in architecture market segments, market trends, and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in architecture industry. This generative artificial intelligence (AI) in architecture 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 in the architecture market consists of revenues earned by entities by providing services such as design optimization services, consulting, and implementation. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence in the architecture market also includes sales of edge computing devices, three-dimensional (3D) printers, sensor networks, high-performance graphics processing units. 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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