Artificial Intelligence (AI) in Industrial Design Market Report 2025

This artificial intelligence (AI) in industrial 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 artificial intelligence (AI) in industrial design market size has grown exponentially in recent years. It will grow from $4.98 billion in 2024 to $6.45 billion in 2025 at a compound annual growth rate (CAGR) of 29.5%. The growth in the historic period can be attributed to automation of design processes, data-driven decision making, improvement in computational power, integration with CAD tools, customization and personalization, cost reduction initiatives, and research and development investments.

The artificial intelligence (AI) in industrial design market size is expected to see exponential growth in the next few years. It will grow to $17.99 billion in 2029 at a compound annual growth rate (CAGR) of 29.2%. The growth in the forecast period can be attributed to industry 4 integration, smart manufacturing adoption, sustainability and eco-friendly designs, advanced material development, enhanced simulation and testing, collaborative design platforms, and AI-driven prototyping. Major trends in the forecast period include AI-powered generative design, integration with IoT, cloud-based design solutions, AI-enhanced augmented reality (AR) and virtual reality (VR), machine learning for predictive maintenance, AI-driven quality control, and human-AI collaboration.

The growth of smart manufacturing and Industry 4 is expected to boost the use of artificial intelligence (AI) in the industrial design market. Smart manufacturing and Industry 4 involve integrating advanced technologies and automation into manufacturing processes to improve efficiency, flexibility, and productivity. These approaches are becoming more prevalent due to the increasing demand for better operational efficiency, lower production costs, and higher product quality. In industrial design, AI is utilized to optimize production processes, predict equipment failures, and enhance product quality through real-time data analysis and automation. For example, Conexus Indiana reported in December 2022 that the adoption of smart manufacturing and Industry 4 technologies had increased by 35% compared to 2021. This rise was accompanied by a 13% increase in companies with budgets and strategic plans for technology adoption. Additionally, the use of advanced modeling technologies grew by 27%, up from 24%. This trend highlights how the rise of smart manufacturing and Industry 4 is driving AI adoption in industrial design.

Leading companies in the AI industrial design sector are developing sophisticated tools to improve design efficiency and accuracy while reducing time-to-market. These tools, such as search tools, use AI-driven image recognition and similarity algorithms to analyze and compare visual elements, making it easier to find similar designs and streamline registration. For example, in February 2024, Corsearch, a UK-based company specializing in trademark and domain protection, introduced an industrial design search tool as part of its TrademarkNow platform. This AI-powered tool enhances the identification and registration of aesthetic industrial designs by allowing users to search more quickly and accurately based on visual elements rather than functionality. It also includes similarity algorithms and options to refine searches by geographic regions and Locarno class features.

In June 2023, Accenture Plc, an Ireland-based IT services firm, acquired Flutura for an undisclosed amount. This acquisition is aimed at strengthening Accenture's industrial AI services, particularly for clients in the energy, chemicals, metals, mining, and pharmaceutical sectors. The acquisition supports Accenture's commitment to assisting clients in achieving net-zero goals. Flutura is an India-based company specializing in industrial AI design.

Major companies operating in the artificial intelligence (AI) in industrial design market are Google LLC, Microsoft Corporation, Amazon Web Services Inc. (AWS), Siemens AG, General Electric Company (GE), Intel Corporation, International Business Machines Corporation (IBM), Oracle Corporation, Honeywell International Inc., SAP SE, NVIDIA Corporation, Schaeffler Technologies AG And Co. KG, Atos SE, Rockwell Automation Inc., Dassault Systèmes SE, Hexagon AB, Autodesk Inc., Trimble Inc., Ansys Inc., PTC Inc., Teradata Corporation, Bentley Systems Inc., Cognex Corporation, Altair Engineering Inc., 3D Systems Corporation.

Asia-Pacific was the largest region in the artificial intelligence (AI) in industrial design market in 2023. The regions covered in the artificial intelligence (AI) in industrial design market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) in industrial design market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Artificial intelligence (AI) in industrial design involves employing AI technologies to develop and refine design solutions, predict performance outcomes, and automate repetitive tasks. This application boosts creativity, efficiency, and customization in the design process, enabling designers to discover more innovative and optimized solutions that might not be evident through conventional methods.

The primary components of AI in industrial design include software and services. AI software for industrial design consists of applications and tools that leverage artificial intelligence to aid in the creation, optimization, and analysis of design models. Deployment options encompass both cloud-based and on-premises solutions, serving various industry sectors such as automotive, consumer electronics, aerospace and defense, healthcare, and more.

The artificial intelligence (AI) in industrial design market research report is one of a series of new reports that provides artificial intelligence (AI) in industrial design market statistics, including artificial intelligence (AI) in industrial design industry global market size, regional shares, competitors with an artificial intelligence (AI) in industrial design market share, detailed artificial intelligence (AI) in industrial design market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in industrial design industry. This artificial intelligence (AI) in industrial 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 artificial intelligence (AI) in industrial design market consists of revenues earned by entities by providing services such as AI-driven design optimization, prototype generation, performance prediction, automated design adjustments, and data analysis for design improvements. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in industrial design market also includes sales of AI-powered design software, intelligent CAD tools, automated design platforms, and advanced simulation tools for product development. 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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