The artificial intelligence (AI) in industrial design market size is expected to see exponential growth in the next few years. It will grow to $23.2 billion in 2030 at a compound annual growth rate (CAGR) of 29.1%. The growth in the forecast period can be attributed to integration of AI with plm systems, demand for lightweight optimized designs, adoption of cloud based design platforms, increased customization requirements, expansion of digital twin technologies. Major trends in the forecast period include generative design optimization, AI based virtual prototyping, automated design simulation, data driven product design, AI assisted design customization.
The rise of smart manufacturing and Industry 4.0 is expected to support the growth of artificial intelligence (AI) in the industrial design market going forward. Smart manufacturing and Industry 4.0 involve the integration of advanced digital technologies and automation into manufacturing processes to improve efficiency, flexibility, and productivity. These approaches have gained prominence due to the growing need for higher operational efficiency, lower production costs, and improved product quality. AI in industrial design supports intelligent manufacturing by optimizing production workflows, predicting equipment failures, and improving product quality through real-time data analysis and automation. For example, in January 2025, according to the Society of Operations Engineers, a UK-based charitable organization and professional engineering institution, 80% of UK manufacturers expected Industry 4.0 to be implemented within their businesses by 2025. At present, 67% were aware of Industry 4.0, with 23% already adopting digitization and automation and 62% planning to transition. Therefore, the rise of smart manufacturing and Industry 4.0 is contributing to the use of artificial intelligence (AI) in the industrial design market.
Leading companies operating in artificial intelligence (AI) in industrial design are developing advanced tools, such as AI-powered search tools, to enhance design efficiency and accuracy while reducing time-to-market. Search tools use AI-driven image recognition and similarity algorithms to analyze and compare visual elements, enabling users to quickly identify similar designs and streamline registration processes. For example, in February 2024, Corsearch, a UK-based data-driven trademark and domain establishment and protection company, launched an industrial design search tool within its TrademarkNow platform. This AI-powered tool improves the identification and registration of aesthetic industrial designs by allowing professionals to perform faster and more accurate searches that focus on visual product elements rather than functionality. The tool leverages similarity algorithms and enables users to refine searches by geographic regions and Locarno class features.
In June 2023, Accenture Plc, an Ireland-based IT services company, acquired Flutura for an undisclosed amount. This acquisition is designed to enhance Accenture’s industrial AI services, particularly for clients in the energy, chemicals, metals, mining, and pharmaceutical sectors. The acquisition aligns with Accenture’s strategy to support clients in achieving net-zero objectives. Flutura is an India-based industrial artificial intelligence design company.
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 2025. The regions covered in the artificial intelligence (AI) in industrial 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 artificial intelligence (AI) in industrial design market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have influenced the AI in industrial design market by increasing costs of high performance computing systems and specialized design hardware. Import duties on advanced processors and visualization equipment have raised operational expenses for design firms. North america, europe, and asia pacific are most affected due to reliance on global hardware suppliers. These tariffs can increase software deployment costs indirectly. However, tariffs are accelerating cloud based design adoption. This reduces dependency on physical infrastructure and supports scalable innovation.
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 a 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.
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 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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Table of Contents
Executive Summary
Artificial Intelligence (AI) In Industrial Design Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence (AI) in industrial 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 artificial intelligence (AI) in industrial 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 artificial intelligence (AI) in industrial 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 Component: Software; Services2) By Deployment Mode: Cloud-Based; On-Premise
3) By Industry Vertical: Automotive; Consumer Electronics; Aerospace And Defense; Healthcare; Other Industry Verticals
Subsegments:
1) By Software: AI-Driven CAD (Computer-Aided Design) Tools; Generative Design Software; Simulation And Modeling Software; AI-Based Product Lifecycle Management (PLM) Software; AI-Powered 3D Rendering and Visualization Tools; AI-Based Design Automation Tools; AI-Driven Virtual Prototyping Software2) By Services: AI Consulting and Strategy Services; AI System Integration And Implementation Services; AI-Based Design Customization Services; AI Maintenance And Support Services; Training And Education Services For AI Tools; Managed AI Design Services; Data Analytics Services For Design Optimization
Companies Mentioned: 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
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 AI in Industrial Design market report include:- 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
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 8.35 Billion |
| Forecasted Market Value ( USD | $ 23.2 Billion |
| Compound Annual Growth Rate | 29.1% |
| Regions Covered | Global |
| No. of Companies Mentioned | 26 |


