AI Image Generator Market by Technology (Convolutional Neural Networks, Autoregressive Models, Diffusion Models; Image Generation, Image Captioning, Image Manipulation, Video Generation, Video Synthesis, Video Editing) - Global Forecast to 2030
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AWS
ADOBE
NVIDIA
OPENAI
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SYNTHESIA
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SIMPLIFIED
LUMEN5
RUNWAY
HYPOTENUSE AI
WRITESONIC
COLOSSYAN
D-ID
DESCRIPT
DEEPBRAIN AI
CASPA AI
FACET AI
FLIKI
ELAI.IO
SYNTHESIS AI
INWORLD AI
INVIDEO
HEYGEN
TAVUS
LOVO AI
APPY PIE
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The global AI image generator market is valued at USD 8.7 billion in 2024 and is estimated to reach USD 60.8 billion in 2030, registering a CAGR of 38.2% during the forecast period. By utilizing deep learning algorithms, AI image generators creates new content from preexisting data. In terms of image models such as diffusion models and GANs (Generative Adversarial Networks) allow the creation of photorealistic imagery design and art from textual descriptions or other images. By predicting images or producing lifelike animations generative AI in video can produce entire scenes or modify already-existing footage. These models use extensive dataset analysis to spot trends and subtleties which they then use to create original content. Digital content production and consumption are being revolutionized by applications that span from virtual reality and simulation to entertainment and advertising. Its quick development can be ascribed to important developments in AI algorithms and processing power which make it possible to produce high-quality content quickly and effectively.
Scope of the Report
Years Considered for the Study
2019-2030
Base Year
2023
Forecast Period
2024-2030
Units Considered
USD (Billion)
Segments
Offering, Image, Video, Vertical, and Region
Regions covered
North America, Europe, Asia Pacific, Middle East & Africa, Latin America
"By offering, the software segment is projected to hold the largest market share during the forecast period."
The software segment is anticipated to lead the AI image generator market due to its advanced AI tools that enable the creation of high-quality visual content across various industries. The rise is caused by the growing need for advanced AI tools that allow for the production of top-notch visual content in sectors such as advertising, entertainment, and design. Software options in this category provide robust features like image recognition, content creation, and editing tools that simplify creative workflows. Furthermore, improvements in machine learning and deep learning algorithms boost the performance and impact of these tools, making them crucial for businesses looking to utilize AI-powered visual content.
"By video segment, video generation application is registered to grow at the highest CAGR during the forecast period."
The rapid growth of video generation applications in the AI image generator market is driven by the need for dynamic and engaging content across various industries. Industries such as media, entertainment, and advertising are taking advantage of AI's ability to create high-quality images, reducing the need for traditional processing. Furthermore, progress in generative AI has sped up the expansion of the market by enhancing the quality and efficiency of video creation, making it suitable for various uses, ranging from advertising campaigns to virtual reality adventures.
"By vertical, the media and entertainment sector are projected to hold the largest market share during the forecast period."
The media and entertainment industry is projected to hold largest market share in AI image generator market due to its intrinsic demand for creative content creation and the ability of generative AI to create of high-quality images and videos at a fraction of time and cost. Media companies can produce personalized and dynamic content that engages audiences more effectively. With this technology the business in media and entertainment sector can explore new creative avenues and remain competitive in a market where visual storytelling and audience engagement are critical elements. The sectors need for continuous innovation and its capacity to swiftly prototype and refine visual concepts using Generative AI tools further solidify its leadership in embracing and applying generative AI technologies.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the AI image generator market.
By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%
By Region: North America - 30%, Europe - 20%, Asia Pacific - 40%, Middle East & Africa - 5%, and Latin America - 5%
Major vendors offering AI image generator solution and services across the globe are Google (US), Microsoft (US), AWS (US), Adobe (US), Nvidia (US), OpenAI (US), Meta (US), Anthropic (US), Databricks (US), Synthesia (UK), Runway AI (US), Jasper (US), Krea AI (US), Simplified (US), Lumen5 (US), Lightricks (Israel), Hypotenuse AI (US), Writesonic (US), Colossyan (UK), D-ID (Israel), Midjourney (US), Descript (US), Animaker (US), DeepBrain (US), Caspa AI (UK), Facet AI (US), Fliki (US), Elai (US), Speechify (US), Inworld AI (US), Invideo (US), HeyGen (US), Tavus (US), Lovo AI (US).
Research Coverage
The market study covers AI image and video generator across segments. It aims to estimate the market size and the growth potential across different segments, such as offering, model type, application, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall market for AI image and video generator and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the market's pulse and provides information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
Analysis of key drivers (Rising demand for generative AI in visual arts and production, Growing demand to enhance immersive experiences by creating realistic virtual environments), restraints (Growing concern with content authenticity, Navigating bias and accuracy challenges), opportunities (Growing potential of generative AI for designing and prototyping, Rising integration of generative AI and computer vision for advanced image manipulation), and challenges (Navigating the ethical challenges of deepfake in generative AI, Issues related with high dimensionality of images impedes the market growth)
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new solutions & service launches in the AI image generator market.
Market Development: Comprehensive information about lucrative markets - the report analyses the AI image generator market across varied regions.
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in AI image generator market strategies; the report also helps stakeholders understand the pulse of the AI image generator market and provides them with information on key market drivers, restraints, challenges, and opportunities.
Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as Google (US), Microsoft (US), OpenAI (US), and AWS (US) among others, in the AI image generator market.
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 MARKET SCOPE
1.3.1 MARKET SEGMENTATION
1.4 YEARS CONSIDERED
1.5 CURRENCY CONSIDERED
1.6 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.3 BREAKUP OF PRIMARY PROFILES
2.1.4 KEY INSIGHTS FROM INDUSTRY EXPERTS
2.2 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
2.4 MARKET FORECAST
2.5 RESEARCH ASSUMPTIONS
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN AI IMAGE AND VIDEO GENERATOR MARKET
4.2 OVERVIEW OF RECESSION IN GLOBAL AI IMAGE AND VIDEO GENERATOR MARKET
4.3 AI IMAGE AND VIDEO GENERATOR MARKET, BY KEY VERTICAL, 2024-2030
4.4 AI IMAGE AND VIDEO GENERATOR MARKET, BY OFFERING AND KEY VERTICAL, 2024
4.5 AI IMAGE AND VIDEO GENERATOR MARKET, BY REGION, 2024
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Rising demand for generative AI in visual arts and production
5.2.1.2 Growing advent of AI-generated models
5.2.1.3 Surging demand for enhanced immersive experiences by creating realistic virtual environments
5.2.2 RESTRAINTS
5.2.2.1 Growing concerns with content authenticity
5.2.2.2 Navigating bias and accuracy challenges
5.2.3 OPPORTUNITIES
5.2.3.1 Growing potential of generative AI for designing and prototyping
5.2.3.2 Rising integration of generative AI and computer vision for advanced image manipulation
5.2.4 CHALLENGES
5.2.4.1 Navigating ethical challenges of deepfakes in generative AI
5.2.4.2 Issues related to high dimensionality of images
5.3 CASE STUDY ANALYSIS
5.3.1 D-ID'S CREATIVE REALITY STUDIO AND POWERPOINT PLUG-IN HELPED DIPLOMAT GROUP REDUCE PRODUCTION TIME AND VENDOR DEPENDENCE
5.3.2 SYNTHESIA'S PLATFORM CONTRIBUTED TO IMPROVED PERFORMANCE AND PRODUCTIVITY AMONG CEMEX'S COMMERCIAL TEAMS
5.3.3 EMERSON'S TRANSFORMATION OF VIDEO CONTENT WITH LUMEN5 ENGAGEMENT STRATEGIES
5.3.4 IMPLEMENTATION OF D-ID'S TECHNOLOGY SIGNIFICANTLY ENHANCED GAMELOFT'S USER ACQUISITION CAMPAIGNS
5.3.5 DEEPBRAIN AI HELPED KB KOOKMIN BANK OPTIMIZE CUSTOMER CONVENIENCE AND SATISFACTION
5.4 EVOLUTION OF AI IMAGE AND VIDEO GENERATOR MARKET
5.5 ECOSYSTEM ANALYSIS
5.5.1 SOFTWARE PROVIDERS
5.5.2 CLOUD PROVIDERS
5.5.3 SERVICE PROVIDERS
5.5.4 API-AS-A-SERVICE PROVIDERS
5.5.5 END USERS
5.5.6 REGULATORY BODIES
5.6 TECHNOLOGY ANALYSIS
5.6.1 KEY TECHNOLOGIES
5.6.1.1 Generative adversarial networks
5.6.1.2 Variational autoencoders
5.6.1.3 Transfer learning
5.6.1.4 Attention mechanisms
5.6.2 COMPLEMENTARY TECHNOLOGIES
5.6.2.1 Cloud computing
5.6.2.2 Big data analytics
5.6.2.3 High-performance computing
5.6.2.4 Explainable AI
5.6.3 ADJACENT TECHNOLOGIES
5.6.3.1 Computer vision
5.6.3.2 Augmented reality and virtual reality
5.6.3.3 Natural language processing
5.7 SUPPLY CHAIN ANALYSIS
5.8 REGULATORY LANDSCAPE
5.8.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.8.2 REGULATIONS
5.8.2.1 North America
5.8.2.1.1 SCR 17: Artificial Intelligence Bill (California)
5.8.2.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut)
5.8.2.1.3 National Artificial Intelligence Initiative Act (NAIIA) (US)
5.8.2.1.4 Artificial Intelligence and Data Act (AIDA) (Canada)
5.8.2.2 Europe
5.8.2.2.1 The European Union (EU) - Artificial Intelligence Act (AIA)
5.8.2.2.2 General Data Protection Regulation (Europe)
5.8.2.3 Asia Pacific
5.8.2.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China)
5.8.2.3.2 The National AI Strategy (Singapore)
5.8.2.3.3 Hiroshima AI Process Comprehensive Policy Framework (Japan)
5.8.2.4 Middle East & Africa
5.8.2.4.1 National Strategy for Artificial Intelligence (UAE)
5.8.2.4.2 The National Artificial Intelligence Strategy (Qatar)
5.8.2.4.3 AI Ethics Principles and Guidelines (Dubai)