PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1568801
PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1568801
AI Image Generator Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032
The Global AI image generator market size is anticipated to grow at over 17.5% CAGR between 2024 and 2032 fueled by a rising demand for high-quality, customizable visuals across diverse industries. As both businesses and individuals strive for unique visual assets in marketing, advertising, entertainment, and social media, AI image generators emerge as efficient and scalable solutions. For instance, in August 2024, Amazon rolled out the second iteration of its proprietary AI image generator, catering to its Amazon Web Services clientele.
With advancements in algorithms and neural networks, these systems now produce increasingly realistic and intricate images. This capability proves invaluable for applications demanding detailed and creative visuals. Furthermore, as AI image generators find their way into numerous software platforms and creative tools, their accessibility and usability will surge, driving broader adoption.
The industry is divided into component, deployment model, organization size, end user, and region.
Based on component, the AI image generator market size from the services segment is poised to grow between 2024 and 2032. This is due to the increasing integration of AI-driven image generation capabilities into various service offerings, such as design, advertising, and content creation. Service providers leverage AI image generators to deliver customized and high-quality visual content quickly and cost-effectively to meet the diverse needs of clients across different industries.
In terms of end user, the AI image generator market value from the healthcare segment is set to witness a significant CAGR from 2024 to 2032 owing to the increasing application of AI technology in medical imaging and diagnostics. AI image generators are utilized to enhance medical imaging processes, like generating synthetic medical images for training, creating detailed visualizations for surgical planning, and improving diagnostic accuracy through advanced image analysis.
Asia Pacific AI image generator industry is expected to accrue notable growth from 2024 to 2032 attributed to rapid technological advancements, increasing digitalization, and rising demand for personalized content across various sectors. The robust expansion in industries, such as advertising, entertainment, and e-commerce creates a strong need for innovative and high-quality visual content in the region, which AI image generators efficiently provide.
Report content
Chapter 1 Methodology and Scope
- 1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
- 1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimation
- 1.3 Forecast model
- 1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
- 1.5 Market definition
Chapter 2 Executive Summary
- 2.1 Industry 360° synopsis, 2021 - 2032
Chapter 3 Industry Insights
- 3.1 Industry ecosystem analysis
- 3.2 Supplier landscape
- 3.2.1 Solution providers
- 3.2.2 Service providers
- 3.2.3 Technology providers
- 3.2.4 End-user
- 3.3 Profit margin analysis
- 3.4 Technology and innovation landscape
- 3.5 Patent analysis
- 3.6 Key news and initiatives
- 3.6.1 Partnership/Collaboration
- 3.6.2 Merger/Acquisition
- 3.6.3 Investment
- 3.6.4 Product launch and innovation
- 3.7 Regulatory landscape
- 3.8 Impact forces
- 3.8.1 Growth drivers
- 3.8.1.1 Supportive initiatives by government
- 3.8.1.2 Rising online shopping and e-commerce sector
- 3.8.1.3 The increasing reliance on visual content in social media, and digital marketing
- 3.8.1.4 Continuous research and development in AI technology
- 3.8.2 Industry pitfalls and challenges
- 3.8.2.1 Risk of generating biased or inappropriate content
- 3.8.1 Growth drivers
- 3.9 Growth potential analysis
- 3.10 Porter's analysis
- 3.11 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
- 4.1 Introduction
- 4.2 Company market share analysis
- 4.3 Competitive positioning matrix
- 4.4 Strategic outlook matrix
Chapter 5 Market Estimates and Forecast, By Component, 2021-2032, ($Mn)
- 5.1 Key trends
- 5.2 Solution
- 5.3 Services
Chapter 6 Market Estimates and Forecast, By Deployment Model, 2021 - 2032 ($Bn)
- 6.1 Key trends
- 6.2 On-premises
- 6.3 Cloud
Chapter 7 Market Estimates and Forecast, By Organization Size, 2021 - 2032 ($Bn)
- 7.1 Key trends
- 7.2 SME
- 7.3 Large organization
Chapter 8 Market Estimates and Forecast, By End-User, 2021-2032, ($Mn)
- 8.1 Key trends
- 8.2 Media and Entertainment
- 8.2.1 On-premises
- 8.2.2 Cloud
- 8.3 Healthcare
- 8.3.1 On-premises
- 8.3.2 Cloud
- 8.4 Fashion
- 8.4.1 On-premises
- 8.4.2 Cloud
- 8.5 E-commerce and retail
- 8.5.1 On-premises
- 8.5.2 Cloud
- 8.6 Education and training
- 8.6.1 On-premises
- 8.6.2 Cloud
- 8.7 Marketing and advertising
- 8.7.1 On-premises
- 8.7.2 Cloud
- 8.8 Others
- 8.8.1 On-premises
- 8.8.2 Cloud
Chapter 9 Market Estimates and Forecast, By Region, 2021-2032, ($Mn)
- 9.1 Key trends, by region
- 9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
- 9.3 Europe
- 9.3.1 UK
- 9.3.2 Germany
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Russia
- 9.3.7 Rest of Europe
- 9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 South Korea
- 9.4.5 ANZ
- 9.4.6 Southeast Asia
- 9.4.7 Rest of APAC
- 9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Argentina
- 9.5.4 Rest of LATAM
- 9.6 MEA
- 9.6.1 UAE
- 9.6.2 Saudi Arabia
- 9.6.3 South Africa
- 9.6.4 Rest of MEA
Chapter 10 Company Profiles
- 10.1 Abode
- 10.2 AISEO
- 10.3 Akvis Sketch
- 10.4 Box 20 LLC
- 10.5 CodeSandbox
- 10.6 Craiyon LLC.
- 10.7 DeepAI
- 10.8 Dreamstudio
- 10.9 Jasper.ai
- 10.10 Lightricks
- 10.11 MAGIX Photostory Deluxe
- 10.12 Meta
- 10.13 neuroflash
- 10.14 NightCafe Studio
- 10.15 Panabee, LLC.
- 10.16 Pho.to
- 10.17 Pikazo
- 10.18 Prisma
- 10.19 Runway ML
