Press release
The Growth Of Generative AI In Design Fueled By Rising Adoption Of AI Applications Driver: A Major Catalyst in the Evolution of the Generative AI In Design Market in 2025
Generative AI In Design Market Size
The upward trend in the use of AI applications is likely to fuel the expansion of the generative AI in design market. Artificial Intelligence is represented as the capacity of a computer or computer-controlled robot to undertake tasks usually associated with human cognitive functions. The growing intricacy of tasks and the progress in AI technology contribute to the escalating acceptance of AI applications. Generative AI in design employs AI algorithms to independently generate unique designs, simplifying artistic procedures and promoting innovation in a range of fields such as architecture, fashion, and product design. These applications facilitate rapid prototyping, modification, and exploration of an extensive array of design options, altering traditional design workflows significantly. For example, a report issued by the United States Census Bureau in November 2023 indicated that the construction sector's implementation of artificial intelligence amounted to 1.2%, but it was predicted to escalate to 2% within the following six months. Hence, the growing use of AI applications is propelling the expansion of the generative AI in design market.
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What is the projected compound annual growth rate (CAGR) of the generative ai in design market from 2025 to 2034, and what factors influence it?
The market size of generative AI in design has seen a massive increase in the past few years. It is projected to escalate from $0.81 billion in 2024 to $1.11 billion in 2025, with a compound annual growth rate (CAGR) of 38.0%. The growth during the historical period resulted from factors such as access to large data sets, greater awareness and adoption, commitment to ethical and responsible AI practices, availability of educational programs and resources, and the emergence of innovative AI platforms.
The market size of generative AI in design is forecasted to undergo a significant increase in the upcoming years, escalating to $4.01 billion in 2029 with a compound annual growth rate (CAGR) of 37.7%. The substantial growth in the predicted period is largely due to factors like education and skill development, real-time design creation, sustainable and green design, personalized designs powered by AI, and interpretability in AI design. Key trends expected during this period involve the incorporation of generative AI into design tools, the rise of specific applications and services, the use of generative AI in digital twin technology, automated design enabled by AI, and enhanced artistic creativity.
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What trends are poised to drive the future success of the generative ai in design market?
Leading corporations working in the generative AI in design industry are targeting the expansion and enhancement of their generative AI abilities with high-end tech features like auto-clustering, Python, and R coding functionalities, to accelerate their market earnings. This form of AI empowers designers to employ complex data analysis, machine learning, as well as statistical methods to generate novel and optimized design formulas that cater to specific user needs and design goals. For example, in November 2023, Altair Engineering Inc., an American IT firm, upgraded its data analytics and AI system, Altair RapidMiner, introducing more robust generative AI features. The upgraded version comes with auto-clustering, wider SAS, Python and R coding functionalities, etc., with the goal of amplifying the platform's capabilities. It boasts an enhanced range of data visualization elements, new layout models and tools, and evolved styling selections, which makes the formation, sharing, and application of dashboards easier. These improvements lower the setup duration for designers, enabling them to focus on developing and putting into effect more aesthetically pleasing and user-centric dashboards.
What are the major segments of the generative ai in design market and their role in driving growth?
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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Which regions are key players in the growth of the generative ai in design market?
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.
Who are the key firms paving the way for growth 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.
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What Is Covered In The Generative AI In Design Global Market Report?
• Market Size Forecast: Examine the generative ai in design market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the generative ai in design market for a structured understanding.
• Key Players Overview: Analyze major players in the generative ai in design market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the generative ai in design market.
• Segment Contributions: Evaluate how different segments drive overall growth in the generative ai in design market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the generative ai in design market.
• Industry Challenges: Identify potential risks and obstacles affecting the generative ai in design market.
• Competitive Landscape: Review strategic developments in the generative ai in design market, including expansions, agreements, and new product launches.
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