Generative AI In Design Market Research, Growth And Forecast To 2034

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How much is the generative ai in design market worth, and how is it expected to expand?
The generative AI in design market size has grown exponentially in recent years. It will grow from $0.81 billion in 2024 to $1.11 billion in 2025 at a compound annual growth rate (CAGR) of 38.0%. The growth in the historic period can be attributed to the availability of large-scale datasets, increased awareness and adoption, ethical and responsible AI practices, educational programs and resources, and the rise of creative AI platforms.
The generative AI in design market size is expected to see exponential growth in the next few years. It will grow to $4.01 billion in 2029 at a compound annual growth rate (CAGR) of 37.7%. The growth in the forecast period can be attributed to education and skill development, real-time design generation, sustainability and eco-friendly design, AI-driven personalization, explainable AI in design. Major trends in the forecast period include the integration of generative AI in design tools, the emergence of niche applications and services, generative AI in digital twin technology, AI-enabled design automation, and augmented creativity.
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What are the top drivers to the rising demand in the generative ai in design market?
The rising adoption of AI applications is expected to propel the growth of generative AI in design market going forward. Artificial intelligence refers to the ability of a computer or computer-controlled robot to execute tasks that are often connected to human intellectual processes. The adoption of AI applications is rising due to the increasing complexity of tasks coupled with advancements in AI technology. Generative AI in design leverages AI algorithms to autonomously produce novel designs, streamlining creative processes and fostering innovation in various industries such as architecture, fashion, and product design. These applications enable rapid prototyping, customization, and exploration of vast design possibilities, revolutionizing traditional design workflows. For instance, in November 2023, according to a report published by the United States Census Bureau, a US-based governing agency, the adoption of artificial intelligence by the construction sector was 1.2%, and it was expected to increase to 2% in the next 6 months. Therefore, the rising adoption of AI applications is driving the growth of the generative AI in design market.
How is the generative ai in design market segmented?
The generative AI in design market covered in this report is segmented –
1) By Deployment: On-Premise, Cloud
2) By Application: Product Design, Graphic Design, Interior Design, Fashion Design, Architecture
3) By End-Users: Large Enterprises, Small And Medium-Sized Enterprises (SMEs), Individual Users
Subsegments:
1) By On-Premise: Self-Hosted Design Solutions, On-Premise AI Design Software, Secure, Localized Design Processing
2) By Cloud: Saas-Based Design Platforms, Cloud-Hosted Generative AI Tools, Scalable Cloud Infrastructure For Design
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Who are the top competitors in the generative ai in design market?
Major companies operating in the generative AI in design market report are Alphabet Inc.; Microsoft Corporation; Siemens AG; NVIDIA Corporation; Adobe Inc.; Dassault Systèmes SE; Autodesk Inc.; Trimble Inc.; Ansys Inc.; PTC Inc.; Bentley Systems Incorporated; Anthropic AI; Altair Engineering Inc.; DeepMind Technologies Limited; OpenAI Inc.; Jasper Technologies Inc; Corel Corporation; Hugging Face Inc.; Chaos Group; Vectorworks Inc.; AI21 Labs; Onshape Inc.; Stability AI LLC; Midjourney Inc.
What significant trends should we anticipate in the generative ai in design market over the forecast period?
Major companies operating in the generative AI in design market are focused on developing and upgrading their generative AI capabilities with advanced technological functionalities such as auto-clustering, Python, and R coding capabilities, and more, to boost their revenues in the market. These generative AI enables designers to leverage sophisticated data analysis, machine learning, and statistical techniques to create innovative and optimized design solutions tailored to specific user requirements and design objectives. For instance, in November 2023, Altair Engineering Inc., a US-based information technology company, upgraded its data analytics and AI platform, Altair RapidMiner, to deliver powerful next-generation generative AI capabilities. Updates include several features such as auto-clustering, expanded SAS, Python, and R coding capabilities, and more, aiming to elevate the platform’s capabilities. It features an updated array of data visualization components, fresh layout templates and utilities, and enhanced style options, simplifying the process of creating, sharing, and utilizing dashboards. These enhancements reduce setup time for designers, allowing them to concentrate on crafting and implementing more visually appealing and user-friendly dashboards.
Which regional trends are influencing the generative ai in design market, and which area dominates the industry?
North America was the largest region in the generative AI in design market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in design market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Does The Generative AI In Design Market Report 2025 Offer?
The generative ai in design market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Generative AI in design refers to the use of artificial intelligence (AI) algorithms to automatically generate and iterate design solutions based on predefined objectives, restrictions, and parameters. Generative AI in design aims to enhance human creativity and streamline the design process by utilizing computational power to explore enormous design spaces, produce novel alternatives, and optimize design solutions.
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