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AI In The Design Market - Forecasts from 2025 to 2030

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    Report

  • 142 Pages
  • December 2024
  • Region: Global
  • Knowledge Sourcing Intelligence LLP
  • ID: 6030791
The AI in the design market is projected to grow at a CAGR of 24.93% over the forecast period, increasing from US$20.085 billion in 2025 to US$60.654 billion by 2030.

An AI or Artificial intelligence is a system developed using computer-generated codes. This system can understand human input, be it text, voice, or images and videos, and can generate the desired output accordingly. The AI for designing uses these inputs and helps the operator or user to develop or generate an output in the form of an image or video, that can be further used for designing purposes in multiple industries.

One of the major driving factors for AI in the design market's growth is the increasing demand for social media and attractive design solutions by brands. Nearly all companies, be they small or big, around the globe have their presence on social media. This platform is majorly for the promotions of their products and announcements. They also use social media posts, in the form of images or videos, to enhance their visibility.

With the increasing number of social media users, the demand for designing is expected to increase, increasing the market size of AI for design solutions. In its annual report, Meta (Facebook) stated that Facebook had about 2.11 billion active daily users by the end of December 2023, which increased by about 6% from 2022, when about 2 billion active users were recorded. The company's monthly active users were recorded at about 3.07 billion by the end of December 2023, which increased by about 3% from the previous year when the monthly active users were recorded at 2.96 billion.

AI in the design market drivers

Increase in the global adoption of AI

The continuous and growing adoption of AI in the global market by companies and governmental organizations is expected to propel AI for the design market, as it is sure to introduce new technologies and investments in the future. Various countries like India, Japan, and France have also invested heavily in the development of a state-of-the-art landscape for AI in the region.

The Artificial Intelligence Index Report 2024, published by Stanford University, stated that various organizations worldwide have fully operationalized AI in their operations. The report further stated that in Asia and Latin America, about 25% of the organizations each have adopted responsible AI into the workforce, followed by Europe and North America, with organizational rates at 18% and 17%, respectively.

AI in the design market Geographical Outlook

By geography, the AI in the design market is segmented into North America, South America, Europe, the Middle East and Africa, and Asia-Pacific.

The North American AI in the design market has been segmented into the United States, Canada, and Mexico. The United States is expected to hold a substantial market share owing to the presence of key players in the nation.

The United States AI market for design is anticipated to propel significantly. This is owing to factors such as the high penetration of technologically advanced companies in the region coupled with the increasing use of technology such as AI and generative AIin various end-use industries. Additionally, the country has a high penetration of artificial intelligence in industries such as engineering, graphic designing, and architecture among others.

New and innovative product launches by companies in the AI for design market are also expected to positively influence market growth. For instance, in July 2024, Microsoft, headquartered in Washington, United States, announced the launch of the Microsoft Designer App, which will be available to anyone with a personal Microsoft account. This app will help in creating and editing new ideas using AI.

Reasons for buying this report:

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub-segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

AI In The Design Market is analyzed into the following segments:

By End-User

  • 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
  • South America
  • Europe
  • Middle East and Africa
  • Asia-Pacific

Table of Contents

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 Stakeholders
2. RESEARCH METHODOLOGY
2.1. Research Design
2.2. Research Process
2.3. Data Validation
3. EXECUTIVE SUMMARY
3.1. Key Findings
3.2. Analyst View
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porter's Five Forces Analysis
4.3.1. Bargaining Power of Supplier
4.3.2. Bargaining Power of Buyers
4.3.3. Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
5. AI IN THE DESIGN MARKET BY END-USER
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
8.2. North America
8.2.1. By End-User
8.2.2. By Deployment
8.2.3. By Application
8.2.4. By Country
8.2.4.1. United States
8.2.4.2. Canada
8.2.4.3. Mexico
8.3. South America
8.3.1. By End-User
8.3.2. By Deployment
8.3.3. By Application
8.3.4. By Country
8.3.4.1. Brazil
8.3.4.2. Argentina
8.3.4.3. Rest of South America
8.4. Europe
8.4.1. By End-User
8.4.2. By Deployment
8.4.3. By Application
8.4.4. By Country
8.4.4.1. United Kingdom
8.4.4.2. Germany
8.4.4.3. France
8.4.4.4. Spain
8.4.4.5. Rest of Europe
8.5. Middle East and Africa
8.5.1. By End-User
8.5.2. By Deployment
8.5.3. By Application
8.5.4. By Country
8.5.4.1. Saudi Arabia
8.5.4.2. United Arab Emirates
8.5.4.3. Israel
8.5.4.4. Rest of Middle East and Africa
8.6. Asia-Pacific
8.6.1. By End-User
8.6.2. By Deployment
8.6.3. By Application
8.6.4. By Country
8.6.4.1. China
8.6.4.2. India
8.6.4.3. Japan
8.6.4.4. South Korea
8.6.4.5. Indonesia
8.6.4.6. Taiwan
8.6.4.7. Rest of Asia-Pacific
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
9.1. Major Players and Strategy Analysis
9.2. Emerging Players and Market Lucrativeness
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. Uizard
10.12. Designs.AI
10.13. Looka Inc.
10.14. Let's Enhance, Inc.
10.15. MidJourney

Companies Mentioned

  • Autodesk
  • Adobe
  • Google
  • Nvidia
  • OpenAI
  • galileo.ai
  • Coohom
  • Canva
  • Siemens
  • Monolith
  • Uizard
  • Designs.AI
  • Looka Inc.
  • Let’s Enhance, Inc.
  • MidJourney

Methodology

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Table Information