AI In The Design Market Size, Share, Opportunities, And Trends By End-Users (Small-sized organization, Medium-sized organization, Large-sized organization), By Deployment (Cloud, On-Premise), By Application (Automotive design, Interior design, Architecture, Product design, Graphic design, Others), And By Geography - Forecasts From 2024 To 2029

The AI in the design market is forecasted to witness a growth of CAGR of 36.57%, to reach US$4,268.869 million by 2029, from US$898.546 million in 2024.

AI in design is a software technology that offers the assistance of computer intelligence with the combination of human input into the designing and outlaying of multiple types of projects for industries like media & communication, manufacturing, architecture, and others. Artificial intelligence is integrated into the design stages of projects, such as graphic design, product design, architecture, and user experience (UX) design. The AI in the design market incorporates a wide range of AI-based technologies and applications like machine learning, which help enhance creativity, efficiency, and productivity in the designing process. Some key aspects of this market are AI-powered design tools, generative design solutions, image and video editing software, and simulation and visualization software. Companies provide tools and platforms that use artificial intelligence techniques, including machine learning, computer vision, and natural language processing, to automate design processes, produce new ideas, and help designers with their workflow.

In the designing sector, generative AI tool is commonly used across multiple industries to create designs based on individuals' text or image inputs. Generative design software uses algorithms to create or generate multiple design alternatives based on specified parameters provided by humans; it allows designers to explore innovative and unique solutions to further optimize their designs.

Various types of AI tools are available across the market, like picture & video editing tools and simulation & visualization tools. The AI-powered picture and video editing platform utilizes advanced algorithms and machine learning to automate various types of designing processes like image enhancement, object removal, color correction, and video stabilization, allowing designers to generate visually attractive material more rapidly. The AI-powered simulation and visualization tools allow the designers to virtually model the physical environment and analyze design performance, allowing them to optimize designs suitably.

What are AI in the design market drivers?

• Enhanced creativity and innovation are boosting the market

A major factor boosting the global AI in the design market is the development of AI technologies and the optimum performance offered by such tools. AI programs use multiple algorithms and machine learning tools, which help them produce fresh and unique design concepts, introduce innovative solutions to projects, and investigate new design procedures or methods that human intelligence may lack. The availability of such capabilities encourages widespread innovation in the sector.

Various companies and research organizations introduced and integrated various tools and algorithms, further boosting the capabilities of the AI design platform. For instance, NVIDIA, a global technological leader, developed its design platform, Canvas. It employs AI-based tools to convert brushstrokes into realistic landscape pictures, enabling speedy background creation and concept development. This platform offers nine design styles, allowing the users to paint on distinct layers for each element.

• Enhanced and Improved design quality

The capability of offering enhanced and higher-quality output of AI tools in the design sector is among the major factors contributing to AI in the design market’s growth. AI-powered technologies can analyze large volumes of data inputs, identify variations in trends, and make data-driven design decisions to offer an optimum and higher-quality output. This capability of AI-powered tools helps in generating higher-quality designs that are personalized to the needs of the individual.

Various companies have introduced multiple tools and solutions designed to offer users more personalized and accurate design outputs. For instance, the AI Studio offered by Vertex provides APIs for foundation models, quick prototyping, and application deployment, among others, and uses Google's Gemini multimodal models platform. The AI Studio offers a quick model adaption as well as fully controlled tools for creating extensions that connect models to proprietary data sources or third-party services.

Major challenges hampering AI in the design market

• Security concerns and data privacy

A major challenge to the global AI in the design market’s growth is the increasing risk of data breaches and cyber-attacks. AI in design platforms mostly relies on user behavior, personalization data, and design assets, which the tools collect and store in their dedicated cloud storage. With the increasing risk of data breaches, there are concerns related to data privacy, security breaches, and the abuse of sensitive information. This is discouraging multiple companies and organizations dealing with sensitive information or public data from adopting AI-driven design solutions.

The global cases of data breaches increased significantly over the past few years. The IT Governance UK, in its report, stated that in 2023, the globe witnessed a total of 8.214 billion records breached due to multiple cyber attacks that occurred throughout the year. The organization stated that in 2023, the DarkBeam organization of the UK observed data breaches of about 3.8 billion records. In contrast, the Real Estate Wealth Network of the USA witnessed about 1.52 billion records breaches.

 

Geographical outlooks of AI in the design market

• North America is forecasted to hold a major share of the AI in the design market.

The North American region is forecasted to witness a greater global AI design market share. The North American countries, especially the USA, are among the leading nations in technical innovation. This region is home to several top AI and design organizations, including Autodesk, Adobe, Google, Nvidia, and OpenAI, who are pushing developments in AI-powered design solutions. Companies in North America, particularly in the technology, automotive, aerospace, and entertainment industries, have been early adopters of AI-powered design solutions. Early adoption has helped the area maintain its market leadership. The North American market is large and diverse, encompassing a wide range of industries that benefit from AI in design, including architecture, engineering, graphic design, gaming, and entertainment.

Major players and products in AI in the design market

• NVIDIA Corporation is a leading technological corporation based in the USA. The company offers a wide range of products and solutions for multiple industries, including automotive, consumer internet, energy, cybersecurity, BFSI, and gaming. The company’s solutions include an AI platform, AI inference, AI workflows, generative AI, data analytics, and machine learning. It offers NVIDIA Canvas, which offers realistic landscape images and uses AI tools to generate personalized designs.
• Autodesk is among the leading global designing solution providers. The company offers a wide range of products and solutions, which includes solutions for architecture, engineering & construction, product design & manufacturing, and media & entertainment. In AI in the design market, the company offers the Autodesk AI platform, which aims to enhance the efficiency of the design.

Key developments in AI in the design market

• In February 2024, Ikea, a global furniture and interior design leader, launched IKEA Kreative, an AI-powered designing tool that features lifelike spatial features that can transform the home's physical environment into a 3D showroom of the company.
• In February 2023, NASA announced the usage of artificial intelligence to build mission gear that resembles extraterrestrial bones but was lighter and more stress-resistant. It also took less time to construct than human-designed parted, despite the possibility of increased structural stresses.

AI In The Design Market Scope:

Report Metric	Details
AI In The Design Market Size in 2024	US$898.546 million
AI In The Design Market Size in 2029	US$4,268.869 million
Growth Rate	CAGR of 36.57%
Study Period	2019 to 2029
Historical Data	2019 to 2022
Base Year	2024
Forecast Period	2024 – 2029
Forecast Unit (Value)	USD Million
Segmentation	End-Users Deployment Application Geography
Geographical Segmentation	North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in AI In The Design Market	Autodesk Adobe Google Nvidia OpenAI
Customization Scope	Free report customization with purchase

 

The AI in the design market is analyzed into the following segments:

• By End-Users
  • Small-Sized Organization
  • Medium-Sized Organization
  • Large-Sized Organization
• By Deployment
  • Cloud
  • On-Premise
• By Application
  • Automotive Design
  • Interior Design
  • Architecture
  • Product Design
  • Graphic Design
  • Others
• By Geography
  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • Germany
    • France
    • UK
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Indonesia
    • Taiwan
    • Others

1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base and Forecast Years Timeline

1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY  

2.1. Research Design

2.2. Research Process

3. EXECUTIVE SUMMARY

3.1. Key Findings

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. The Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

4.5. Analyst View

5. AI IN THE DESIGN MARKET BY END-USERS

5.1. Introduction

5.2. Small-sized Organization

5.3. Medium-sized Organization

5.4. Large-sized Organization

6. AI IN THE DESIGN MARKET BY DEPLOYMENT

6.1. Introduction

6.2. Cloud

6.3. On-Premise

7. AI IN THE DESIGN MARKET BY APPLICATION

7.1. Introduction

7.2. Automotive Design

7.3. Interior Design

7.4. Architecture

7.5. Product Design

7.6. Graphic Design

7.7. Others

8. AI IN THE DESIGN MARKET BY GEOGRAPHY

8.1. Introduction

8.1. North America

8.1.1. By End-Users

8.1.2. By Deployment

8.1.3. By Application

8.1.4. By Country

8.1.4.1. United States

8.1.4.2. Canada

8.1.4.3. Others

8.2. South America

8.2.1. By End-Users

8.2.2. By Deployment

8.2.3. By Application

8.2.4. By Country

8.2.4.1. Brazil

8.2.4.2. Argentina

8.2.4.3. Others

8.3. Europe

8.3.1. By End-Users

8.3.2. By Deployment

8.3.3. By Application

8.3.4. By Country

8.3.4.1. Germany

8.3.4.2. France

8.3.4.3. United Kingdom

8.3.4.4. Spain

8.3.4.5. Others

8.4. Middle East and Africa

8.4.1. By End-Users

8.4.2. By Deployment

8.4.3. By Application

8.4.4. By Country

8.4.4.1. Saudi Arabia

8.4.4.2. UAE

8.4.4.3. Israel

8.4.4.4. Others

8.5. Asia Pacific

8.5.1. By End-Users

8.5.2. By Deployment

8.5.3. By Application

8.5.4. By Country

8.5.4.1. China

8.5.4.2. Japan

8.5.4.3. India

8.5.4.4. South Korea

8.5.4.5. Indonesia

8.5.4.6. Taiwan

8.5.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Competitive Dashboard

10. COMPANY PROFILES

10.1. Autodesk

10.2. Adobe

10.3. Google

10.4. Nvidia

10.5. OpenAI

10.6. Galileo.ai

10.7. Coohom

10.8. Canva

10.9. Siemens

10.10. Monolith

10.11. Cieden

10.12. Uizard Technologies

10.13. Visily

Autodesk 

Adobe 

Google 

Nvidia 

OpenAI 

Galileo.ai 

Coohom 

Canva 

Siemens 

Monolith 

Cieden 

Uizard Technologies 

Visily