According to a recent research report titled ” Generative AI in Design Market (By Application: Product Design, Graphic Design, Interior Design, Fashion Design, Architecture; By End-Users: Large Enterprises, Small And Medium-Sized Enterprises (SMEs), Individual Users) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032″ published by Precedence Research, the global generative AI in design market size is projected to touch around USD 7,754.83 million by 2032 and growing at a CAGR of 34.11% over the forecast period 2023 to 2032. This comprehensive study examines various factors and their impact on the growth of the GENERATIVE AI IN DESIGN market.
Key Takeaways:
- North America generated more than 40% of revenue share in 2022.
- By application, the graphic design segment shows a leading growth in the generative AI in the design market.
- By end-user, the large enterprises segment contributed more than 47% of revenue share in 2022.
The report primarily focuses on the volume and value of the GENERATIVE AI IN DESIGN market at the global, regional, and company levels. At the global level, the report analyzes historical data and future prospects to present an overview of the overall market size. Regionally, the study emphasizes key regions such as North America, Europe, the Middle East & Africa, Latin America, and others.
Furthermore, the research report provides specific segmentations based on regions (countries), companies, and all market segments. This analysis offers insights into the growth and revenue trends during the historical period of 2017 to 2032, as well as the projected period. By understanding these segments, it becomes possible to identify the significance of different factors that contribute to market growth.
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The research also highlights significant progressions in both organic and inorganic growth strategies within the global generative AI in design market. Numerous companies are placing emphasis on new product launches, gaining product approvals, and implementing various business expansion tactics. Moreover, the report presents detailed profiles of firms operating in the generative AI in design market, along with their respective market strategies. Additionally, the study concentrates on prominent industry participants, furnishing details such as company profiles, product offerings, financial updates, and noteworthy advancements.
Generative AI in Design Market Report Scope
| Report Coverage | Details |
| Market Size in 2023 | USD 552.61 Million |
| Market Size by 2032 | USD 7,754.83 Million |
| Growth Rate from 2023 to 2032 | CAGR of 34.11% |
| Largest Market | North America |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Segments Covered | By Application and By End-Users |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
Also read: Generative AI in Travel Market Size to Worth US$ 3,581.95 Million By 2032
Major Key Points Covered in Report:
Executive Summary: It includes key trends of the electric vehicle fuel cell market related to products, applications, and other crucial factors. It also provides analysis of the competitive landscape and CAGR and market size of the electric vehicle fuel cell market based on production and revenue.
Production and Consumption by Region: It covers all regional markets to which the research study relates. Prices and key players in addition to production and consumption in each regional market are discussed.
Key Players: Here, the report throws light on financial ratios, pricing structure, production cost, gross profit, sales volume, revenue, and gross margin of leading and prominent companies competing in the Electric vehicle fuel cell market.
Market Segments: This part of the report discusses product, application and other segments of the electric vehicle fuel cell market based on market share, CAGR, market size, and various other factors.
Research Methodology: This section discusses the research methodology and approach used to prepare the report. It covers data triangulation, market breakdown, market size estimation, and research design and/or programs.
Market Key Players
The report incorporates company profiles of key players in the market. These profiles encompass vital information such as product portfolio, key strategies, and a comprehensive SWOT analysis for each player. Additionally, the report presents a matrix illustrating the presence of each prominent player, enabling readers to gain actionable insights. This facilitates a thoughtful assessment of the market status and aids in predicting the level of competition in the generative AI in design market.
Some of the prominent players in the generative AI in design market include
- Autodesk inc.
- IBM Corporation
- Microsoft Corporation
- Bentley Systems
- Nvidia Corporation
- Adobe Inc.
- Google LLC
- OpenAI
- Dassault Systèmes SE
- Siemens
Generative AI in Design Market Segmentations
By Application
- Product Design
- Graphic Design
- Interior Design
- Fashion Design
- Architecture
By End-Users
- Large Enterprises
- Small And Medium-Sized Enterprises (SMEs)
- Individual Users
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa
Why should you invest in this report?
This report presents a compelling investment opportunity for those interested in the global generative AI in design market. It serves as an extensive and informative guide, offering clear insights into this niche market. By delving into the report, you will gain a comprehensive understanding of the various major application areas for generative AI in design. Furthermore, it provides crucial information about the key regions worldwide that are expected to experience substantial growth within the forecast period of 2023-2032. Armed with this knowledge, you can strategically plan your market entry approaches.
Moreover, this report offers a deep analysis of the competitive landscape, equipping you with valuable insights into the level of competition prevalent in this highly competitive market. If you are already an established player, it will enable you to assess the strategies employed by your competitors, allowing you to stay ahead as market leaders. For newcomers entering this market, the extensive data provided in this report is invaluable, providing a solid foundation for informed decision-making.
Some of the key questions answered in this report:
- What is the size of the overall Generative AI in design market and its segments?
- What are the key segments and sub-segments in the market?
- What are the key drivers, restraints, opportunities and challenges of the Generative AI in design market and how they are expected to impact the market?
- What are the attractive investment opportunities within the Generative AI in design market?
- What is the Generative AI in design market size at the regional and country-level?
- Who are the key market players and their key competitors?
- What are the strategies for growth adopted by the key players in Generative AI in design market?
- What are the recent trends in Generative AI in design market? (M&A, partnerships, new product developments, expansions)?
- What are the challenges to the Generative AI in design market growth?
- What are the key market trends impacting the growth of Generative AI in design market?
Table of Content:
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology (Premium Insights)
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Generative AI in Design Market
5.1. COVID-19 Landscape: Generative AI in Design Industry Impact
5.2. COVID 19 – Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Generative AI in Design Market, By Application
8.1. Generative AI in Design Market, by Application, 2023-2032
8.1.1. Product Design
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Graphic Design
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Interior Design
8.1.3.1. Market Revenue and Forecast (2020-2032)
8.1.4. Fashion Design
8.1.4.1. Market Revenue and Forecast (2020-2032)
8.1.5. Architecture
8.1.5.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Generative AI in Design Market, By End-Users
9.1. Generative AI in Design Market, by End-Users, 2023-2032
9.1.1. Large Enterprises
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Small And Medium-Sized Enterprises (SMEs)
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Individual Users
9.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Generative AI in Design Market, Regional Estimates and Trend Forecast
10.1. North America
10.1.1. Market Revenue and Forecast, by Application (2020-2032)
10.1.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.1.3. U.S.
10.1.3.1. Market Revenue and Forecast, by Application (2020-2032)
10.1.3.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.1.4. Rest of North America
10.1.4.1. Market Revenue and Forecast, by Application (2020-2032)
10.1.4.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.2. Europe
10.2.1. Market Revenue and Forecast, by Application (2020-2032)
10.2.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.2.3. UK
10.2.3.1. Market Revenue and Forecast, by Application (2020-2032)
10.2.3.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.2.4. Germany
10.2.4.1. Market Revenue and Forecast, by Application (2020-2032)
10.2.4.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.2.5. France
10.2.5.1. Market Revenue and Forecast, by Application (2020-2032)
10.2.5.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.2.6. Rest of Europe
10.2.6.1. Market Revenue and Forecast, by Application (2020-2032)
10.2.6.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.3. APAC
10.3.1. Market Revenue and Forecast, by Application (2020-2032)
10.3.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.3.3. India
10.3.3.1. Market Revenue and Forecast, by Application (2020-2032)
10.3.3.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.3.4. China
10.3.4.1. Market Revenue and Forecast, by Application (2020-2032)
10.3.4.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.3.5. Japan
10.3.5.1. Market Revenue and Forecast, by Application (2020-2032)
10.3.5.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.3.6. Rest of APAC
10.3.6.1. Market Revenue and Forecast, by Application (2020-2032)
10.3.6.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.4. MEA
10.4.1. Market Revenue and Forecast, by Application (2020-2032)
10.4.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.4.3. GCC
10.4.3.1. Market Revenue and Forecast, by Application (2020-2032)
10.4.3.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.4.4. North Africa
10.4.4.1. Market Revenue and Forecast, by Application (2020-2032)
10.4.4.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.4.5. South Africa
10.4.5.1. Market Revenue and Forecast, by Application (2020-2032)
10.4.5.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.4.6. Rest of MEA
10.4.6.1. Market Revenue and Forecast, by Application (2020-2032)
10.4.6.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.5. Latin America
10.5.1. Market Revenue and Forecast, by Application (2020-2032)
10.5.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.5.3. Brazil
10.5.3.1. Market Revenue and Forecast, by Application (2020-2032)
10.5.3.2. Market Revenue and Forecast, by End-Users (2020-2032)
10.5.4. Rest of LATAM
10.5.4.1. Market Revenue and Forecast, by Application (2020-2032)
10.5.4.2. Market Revenue and Forecast, by End-Users (2020-2032)
Chapter 11. Company Profiles
11.1. Autodesk inc.
11.1.1. Company Overview
11.1.2. Product Offerings
11.1.3. Financial Performance
11.1.4. Recent Initiatives
11.2. IBM Corporation
11.2.1. Company Overview
11.2.2. Product Offerings
11.2.3. Financial Performance
11.2.4. Recent Initiatives
11.3. Microsoft Corporation
11.3.1. Company Overview
11.3.2. Product Offerings
11.3.3. Financial Performance
11.3.4. Recent Initiatives
11.4. Bentley Systems
11.4.1. Company Overview
11.4.2. Product Offerings
11.4.3. Financial Performance
11.4.4. Recent Initiatives
11.5. Nvidia Corporation
11.5.1. Company Overview
11.5.2. Product Offerings
11.5.3. Financial Performance
11.5.4. Recent Initiatives
11.6. Adobe Inc.
11.6.1. Company Overview
11.6.2. Product Offerings
11.6.3. Financial Performance
11.6.4. Recent Initiatives
11.7. Google LLC
11.7.1. Company Overview
11.7.2. Product Offerings
11.7.3. Financial Performance
11.7.4. Recent Initiatives
11.8. OpenAI
11.8.1. Company Overview
11.8.2. Product Offerings
11.8.3. Financial Performance
11.8.4. Recent Initiatives
11.9. Dassault Systèmes SE
11.9.1. Company Overview
11.9.2. Product Offerings
11.9.3. Financial Performance
11.9.4. Recent Initiatives
11.10. Siemens
11.10.1. Company Overview
11.10.2. Product Offerings
11.10.3. Financial Performance
11.10.4. Recent Initiatives
Chapter 12. Research Methodology
12.1. Primary Research
12.2. Secondary Research
12.3. Assumptions
Chapter 13. Appendix
13.1. About Us
13.2. Glossary of Terms
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