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Generative AI in Design Market Market Size, Growth, Demands Outlook and Forecasts to 2032

According to the research report, the global generative AI in design market size is expected to touch USD 7,754.83 Million by 2032, from USD 412.06 million in 2022, growing with a significant 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 generative AI in design report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global generative AI in design in conjunction with the geographical landscape of this vertical have also been included in this report.

The report offers intricate dynamics about different aspects of the global generative AI in design market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global generative AI in design during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).

Sample Link @ https://www.precedenceresearch.com/sample/3119

This study covers a detailed segmentation of the global generative AI in design market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global generative AI in design market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.

Key Players

  • Autodesk inc.
  • IBM Corporation
  • Microsoft Corporation
  • Bentley Systems
  • Nvidia Corporation
  • Adobe Inc.
  • Google LLC
  • OpenAI
  • Dassault Systèmes SE
  • Siemens

Market Segmentation

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

Research Methodology

The research methodology adopted by analysts for compiling the global generative AI in design report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.

During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.

For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global 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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