April 24, 2024
ICT

Generative AI in Design Market Size to Attain USD 7,754.83 Million By 2030

The global generative AI in design market size was estimated to be around US$ 412.06 million in 2022. It is projected to reach US$ 7,754.83 million by 2032, indicating at a CAGR of 34.11% from 2023 to 2032.

Generative AI in Design Market Size 2023 To 2032

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 market research report on the Generative AI in design market provides a comprehensive analysis of various key aspects. It includes the definition, classification, and application of Generative AI in design products. The report examines the development trends, competitive landscape, and industrial chain structure within the industry. Furthermore, it presents an overview of the industry, analyzes national policies and planning, and offers insights into the latest market dynamics and opportunities at a global level.

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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

Read More: Generative AI in Travel Market Size to Garner USD 3,581.95 Million by 2032

The report presents the volume and value-based market size for the base year 2022 and forecasts the market’s growth between 2023 and 2032. It estimates market numbers based on product form and application, providing size and forecast for each application segment in both global and regional markets.

Focusing on the global Generative AI in design market, the report highlights its status, future forecasts, growth opportunities, key market players, and key market regions such as the United States, Europe, and China. The study aims to present the development of the Generative AI in design market by considering factors like Year-on-Year (Y-o-Y) growth, in addition to Compound Annual Growth Rate (CAGR). This approach enables a better understanding of market certainty and the identification of lucrative opportunities.

Regarding production, the report investigates the capacity, production, value, ex-factory price, growth rate, and market share of major manufacturers, regions, and product types. On the consumption side, the report focuses on the regional consumption of Generative AI in design products across different countries and applications.

Buyers of the report gain access to verified market figures, including global market size in terms of revenue and volume. The report provides reliable estimations and calculations for global revenue and volume by product type from 2023 to 2032. It also includes accurate figures for production capacity and production by region during the same period.

The research includes product parameters, production processes, cost structures, and data classified by region, technology, and application. Furthermore, it conducts SWOT analysis and investment feasibility studies for new projects.

This in-depth research report offers valuable insights into the Generative AI in design market. It employs an objective and fair approach to analyze industry trends, supporting customer competition analysis, development planning, and investment decision-making. The project received support and assistance from technicians and marketing personnel across various links in the industry chain.

The competitive landscape section of the report provides detailed information on Generative AI in design market competitors. It includes company overviews, financials, revenue generation, market potential, research and development investments, new market initiatives, global presence, production sites, production capacities, strengths and weaknesses, product launches, product range, and application dominance. However, the data points provided only focus on the companies’ activities related to the Generative AI in design market.

Prominent players in the market are expected to face tough competition from new entrants. Key players are targeting acquisitions of startup companies to maintain their dominance. The report

Reasons to Purchase this Report:

  • Comprehensive market segmentation analysis incorporating qualitative and quantitative research, considering the impact of economic and policy factors.
  • In-depth regional and country-level analysis, examining the demand and supply dynamics that influence market growth.
  • Market size in USD million and volume in million units provided for each segment and sub-segment.
  • Detailed competitive landscape, including market share of major players, recent projects, and strategies implemented over the past five years.
  • Comprehensive company profiles encompassing product offerings, key financial information, recent developments, SWOT analysis, and employed strategies by major market players.

Key Players

  • 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

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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Prathamesh

I have completed my education in Bachelors in Computer Application. A focused learner having a keen interest in the field of digital marketing, SEO, SMM, and Google Analytics enthusiastic to learn new things along with building leadership skills.

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