Growing Emphasis On Smart Infrastructure Projects Is Driving The Growth Of The Generative AI In Product Design Market.: A Significant Driver Propelling The Generative Artificial Intelligence (AI) In Product Design Market In 2025

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What Is the Generative Artificial Intelligence (AI) In Product Design Market Size and Projected Growth Rate?
In recent years, the market size for generative artificial intelligence (AI) in product design has witnessed considerable growth. The market is projected to surge from $14.1 billion in 2024 to $15.84 billion in 2025, indicating a compound annual growth rate (CAGR) of 12.4%. The historical growth in this market can be linked to the proliferation of educational programs, evolving customer demands, affordable design solutions, adjustments in design in real-time, and the internationalization of design methodologies.

The market for generative artificial intelligence (AI) in product design is projected to experience swift expansion in the coming years. The market size is anticipated to attain $24.99 billion by 2029, with a compound annual growth rate (CAGR) of 12.1%. The escalation during the forecast period can be primarily accredited to the rising focus on sustainability, the growing popularity of industrial design, enhanced computational capabilities, expanded educational programs, and increased public knowledge and acceptance. Notable market trends during this outlook period encompass the integration of multimodal data, improved text generation, the incorporation of quantum computing, AI-boosted user experience (UX) design, and the integration of cross-disciplinary design.

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What Are the Major Segments in the Generative Artificial Intelligence (AI) In Product Design Market?
The generative artificial intelligence (AI) in product design market covered in this report is segmented -

1) By Deployment Model: Cloud-Based; On-Premises
2) 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; Private Cloud; Hybrid Cloud
2) By On-Premises: Small And Medium Enterprises (SMEs); Large Enterprises

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What Are The Driving Generative Artificial Intelligence (AI) In Product Design Market Evolution?
The augmenting focus on smart infrastructure projects is predicted to fuel the expansion of the generative artificial intelligence (AI) in the product design market in the near future. These projects represent efforts that utilize revolutionary technologies and data-centric methods to enhance the design, operation, and administration of infrastructure systems. The escalating focus on these projects is prompted by the demand for sustainable urban growth to effectively handle population expansion and the progression in Internet of Things (IoT) technology that facilitates real-time surveillance and data-influenced decision-making. Generative AI in product design plays a key role in these projects by streamlining design procedures and enabling the development of novel, efficient solutions through rapid scrutiny of enormous data sets and simulation of multiple situations. For example, as reported by the UK's Office for National Statistics in July 2024, digital infrastructure investment in 2022 reached $12.4 (£9.2) billion, demonstrating a 22.9% increase relative to 2021. Consequently, the magnified focus on smart infrastructure projects is triggering the expansion of the generative artificial intelligence (AI) in the product design market.

Which Firms Dominate The Generative Artificial Intelligence (AI) In Product Design Market Segments?
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

What Trends Are Expected to Dominate the Acquired Autoimmune Hemolytic Anemia Market in the Next 5 Years?
Prominent businesses in the generative AI domain for product design are constantly innovating to create sophisticated solutions like artificial intelligence for digital product design, aiming to revolutionize the design landscape in numerous sectors. The term refers to the application of AI technologies in the formation and development of digital merchandise, including apps, websites, and user interfaces. For example, in June 2023, Flytxt, an AI-powered SaaS solutions firm based in the Netherlands, unveiled a Generative AI tool. This tool fosters improved digital product design by facilitating quicker and more efficient production of high-performing goods. This inventive tool specifically addresses the hurdle of swiftly creating high-quality products. It methodically assesses a variety of product designs to determine optimal choices, fine-tuning aspects like pricing structures, product characteristics, and package options in alignment with business goals like augmenting revenue and maintaining customer loyalty. The use of generative AI stands out for its ability to facilitate transparency in decision-making, allowing product managers to scrutinize and comprehend the reasoning behind AI-created designs prior to product launches.

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Which Is The Largest Region In The Generative Artificial Intelligence (AI) In Product Design Market?
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.

Frequently Asked Questions:
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