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
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.
“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.
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:
“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.
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)
5.8.2.5 Latin America
5.8.2.5.1 Santiago Declaration (Chile)
5.8.2.5.2 Brazilian Artificial Intelligence Strategy (EBIA)
5.9 PATENT ANALYSIS
5.9.1 METHODOLOGY
5.9.2 PATENTS FILED, BY DOCUMENT TYPE
5.9.3 INNOVATION AND PATENT APPLICATIONS
5.9.4 KEY APPLICANTS IN AI IMAGE AND VIDEO GENERATOR MARKET
5.10 KEY CONFERENCES AND EVENTS
5.11 PORTER’S FIVE FORCES ANALYSIS
5.11.1 THREAT OF NEW ENTRANTS
5.11.2 THREAT OF SUBSTITUTES
5.11.3 BARGAINING POWER OF SUPPLIERS
5.11.4 BARGAINING POWER OF BUYERS
5.11.5 INTENSITY OF COMPETITIVE RIVALRY
5.12 PRICING ANALYSIS
5.12.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY TOP APPLICATION
5.12.2 INDICATIVE PRICING ANALYSIS, BY OFFERING
5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
5.14 KEY STAKEHOLDERS & BUYING CRITERIA
5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.14.2 BUYING CRITERIA
5.15 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
5.16 GENERATIVE AI IMPACT ASSESSMENT INDEX
5.17 AI IMAGE AND VIDEO GENERATOR TECHNOLOGY ROADMAP
6 AI IMAGE AND VIDEO GENERATOR MARKET, BY OFFERING
6.1 INTRODUCTION
6.1.1 OFFERING: AI IMAGE AND VIDEO GENERATOR MARKET DRIVERS
6.2 SOFTWARE
6.2.1 GENERATIVE AI SOFTWARE TO REVOLUTIONIZE VISUAL CONTENT CREATION
6.2.2 TECHNOLOGY
6.2.2.1 Generative adversarial networks
6.2.2.1.1 Conditional GANs
6.2.2.1.2 StyleGANs
6.2.2.1.3 CycleGANs
6.2.2.2 Transformer models
6.2.2.3 Convolutional neural networks
6.2.2.3.1 Image-generating CNNs
6.2.2.3.2 Video-generating CNNs
6.2.2.4 Variational autoencoders
6.2.2.5 Other software technologies
6.2.3 DEPLOYMENT MODE
6.2.3.1 Cloud
6.2.3.2 On-premises
6.3 SERVICES
6.3.1 EXPERTISE IN OPTIMIZING AI MODELS TO ENSURE HIGH-QUALITY OUTPUTS
6.3.2 PROFESSIONAL SERVICES
6.3.2.1 Training & consulting services
6.3.2.2 System integration & implementation services
6.3.2.3 Support & maintenance services
6.3.3 MANAGED SERVICES
7 AI IMAGE AND VIDEO GENERATOR MARKET, BY APPLICATION
7.1 INTRODUCTION
7.1.1 APPLICATION: AI IMAGE & VIDEO GENERATOR MARKET DRIVERS
7.2 AI IMAGE GENERATOR
7.2.1 RISING NEED TO TRANSFORM TEXT PROMPTS INTO HIGHLY REALISTIC IMAGES TO BOOST MARKET GROWTH
7.3 AI VIDEO GENERATOR
7.3.1 VIDEO SYNTHESIS, ENHANCEMENT, AND EXTENSION TO OFFER NEW POSSIBILITIES FOR IMMERSIVE EXPERIENCES
8 AI IMAGE GENERATOR MARKET
8.1 INTRODUCTION
8.1.1 AI IMAGE GENERATOR MARKET DRIVERS
8.2 IMAGE GENERATION
8.2.1 RAPID PROTOTYPING AND CREATIVE EXPLORATION TO ACCELERATE MARKET GROWTH
8.3 SEMANTIC IMAGE-TO-PHOTO TRANSLATION
8.3.1 TRANSLATION OF ABSTRACT REPRESENTATIONS INTO DETAILED, REALISTIC VISUALS TO SIGNIFICANTLY SPEED UP DESIGN WORKFLOWS
8.4 IMAGE-TO-IMAGE CONVERSION
8.4.1 CREATIVE EXPRESSION THROUGH ARTISTIC FILTERS AND STYLES TO DRIVE MARKET
8.5 IMAGE RESOLUTION INCREASE
8.5.1 APPLICATIONS IN FORENSIC ANALYSIS AND MEDICAL DIAGNOSES TO PROPEL MARKET GROWTH
8.6 3D SHAPE GENERATION
8.6.1 GROWING NEED FOR FOSTERING INNOVATION IN CREATING VISUALLY COMPELLING AND FUNCTIONAL 3D MODELS TO BOLSTER MARKET GROWTH
8.7 OTHER IMAGE-BASED APPLICATIONS
9 AI VIDEO GENERATOR MARKET
9.1 INTRODUCTION
9.1.1 AI VIDEO GENERATOR MARKET DRIVERS
9.2 VIDEO GENERATION
9.2.1 SOPHISTICATED NEURAL NETWORKS TO ENABLE AI VIDEO GENERATORS PRODUCE REALISTIC, DETAILED, AND CONTEXTUALLY RELEVANT VIDEOS
9.3 VIDEO PREDICTION
9.3.1 VIDEO PREDICTION TO ENABLE CREATION OF HIGHLY REALISTIC SIMULATIONS AND ENHANCE USER EXPERIENCE
9.4 VIDEO EDITING & ENHANCEMENT
9.4.1 INTEGRATION OF GENAI IN VIDEO EDITING AND ENHANCEMENT TO OFFER INNOVATIVE POSSIBILITIES IN DIGITAL MEDIA LANDSCAPE
9.5 VIDEO COMPRESSION & TRANSMISSION
9.5.1 REAL-TIME PROCESSING AND REDUCED LATENCY TO PROPEL MARKET GROWTH
9.6 CREATIVE STORYTELLING
9.6.1 INTEGRATION OF AI INTO VISUAL CONTENT CREATION TO FOSTER NEW WAVE OF STORYTELLING POSSIBILITIES
9.7 VIDEO ANNOTATION
9.7.1 GROWING NEED FOR COMPREHENSIVE AND PRECISE VIDEO ANNOTATION TO BOOST MARKET
9.8 VIDEO SYNTHESIS & CONTENT CREATION
9.8.1 RISING DEMAND FOR PERSONALIZED CONTENT GENERATION TO DRIVE MARKET
9.9 OTHER VIDEO-BASED APPLICATIONS
10 GENERATIVE AI VIDEO AND IMAGE MARKET, BY VERTICAL
10.1 INTRODUCTION
10.1.1 VERTICAL: AI IMAGE AND VIDEO GENERATOR MARKET DRIVERS
10.2 MEDIA & ENTERTAINMENT
10.2.1 GENERATIVE AI TO IMPROVE VIEWER ENGAGEMENT AND EXPAND POSSIBILITIES IN VISUAL STORYTELLING
10.2.2 NEWS GENERATION
10.2.3 CREATIVE AD GENERATION
10.2.4 FACE & CHARACTER GENERATION
10.2.5 VISUAL EFFECTS ENHANCEMENT
10.2.6 GAME STRATEGY VISUALIZATION
10.2.7 VIRTUAL NEWS ANCHORS
10.2.8 OTHER MEDIA & ENTERTAINMENT USE CASES
10.3 BFSI
10.3.1 CUSTOMIZED FINANCIAL ADVICE VIDEOS, ENHANCED CLIENT SATISFACTION, AND OPERATIONAL EFFICIENCY TO BOOST MARKET
10.3.2 TRANSACTION ANOMALY DETECTION
10.3.3 VIDEO BIOMETRICS
10.3.4 AUTOMATED CLAIMS REPORTING
10.3.5 INTERACTIVE BANKING TUTORIALS
10.3.6 E-KYC
10.3.7 REAL-TIME RISK MANAGEMENT
10.3.8 OTHER BFSI USE CASES
10.4 HEALTHCARE & LIFE SCIENCES
10.4.1 GENERATIVE AI TRANSFORMS HEALTHCARE WITH ADVANCED IMAGING, DISEASE DETECTION, AND PERSONALIZED PATIENT CARE
10.4.2 SYNTHETIC MEDICAL IMAGING
10.4.3 DISEASE DETECTION & SEGMENTATION
10.4.4 3D ORGAN RECONSTRUCTION
10.4.5 SURGICAL PROCEDURE SIMULATION
10.4.6 DISEASE PROGRESSION VISUALIZATION
10.4.7 COMPOUND SCREENING
10.4.8 OTHER HEALTHCARE & LIFE SCIENCES USE CASES
10.5 MANUFACTURING
10.5.1 SURGING DEMAND FOR IMPROVED DECISION-MAKING AND STREAMLINED PRODUCTION PROCESSES TO DRIVE MARKET
10.5.2 PRODUCT DESIGN/3D PROTOTYPING
10.5.3 PARTS AND COMPONENT CATALOGING
10.5.4 VIRTUAL FACTORY TOURS
10.5.5 MANUFACTURING PROCESS OPTIMIZATION
10.5.6 QUALITY CONTROL & DEFECT DETECTION
10.5.7 INVENTORY MANAGEMENT
10.5.8 OTHER MANUFACTURING USE CASES
10.6 RETAIL & ECOMMERCE
10.6.1 INCREASING NEED FOR STREAMLINED CONTENT CREATION AND IMPROVED ALIGNMENT WITH CONSUMER PREFERENCES TO DRIVE MARKET
10.6.2 VIRTUAL TRY-ON
10.6.3 PERSONALIZED CATALOG GENERATION
10.6.4 STORE LAYOUT VISUALIZATION
10.6.5 VIRTUAL UNBOXING EXPERIENCES
10.6.6 PRODUCT SHOWCASE VIDEOS
10.6.7 VISUAL SEARCH & PRODUCT DISCOVERY
10.6.8 OTHER RETAIL & ECOMMERCE USE CASES
10.7 TRANSPORTATION & LOGISTICS
10.7.1 GENERATIVE AI TRANSFORMS LOGISTICS AND TRANSPORTATION THROUGH ADVANCED VISUALIZATION, NAVIGATION, OPTIMIZATION, AND SECURITY TECHNOLOGIES
10.7.2 WAREHOUSE LAYOUT VISUALIZATION
10.7.3 AR-ENHANCED NAVIGATION
10.7.4 TRAFFIC FLOW SIMULATION
10.7.5 LOADING & UNLOADING OPTIMIZATION
10.7.6 PARKING MANAGEMENT
10.7.7 DRIVER BEHAVIOR ANALYSIS
10.7.8 OTHER TRANSPORTATION & LOGISTICS USE CASES
10.8 CONSTRUCTION & REAL ESTATE
10.8.1 AI-POWERED INTERACTIVE PROPERTY TOURS AND OPTIMIZED PROJECT MANAGEMENT TO DRIVE MARKET
10.8.2 ARCHITECTURAL DESIGN GENERATION
10.8.3 INTERIOR LAYOUT SUGGESTIONS
10.8.4 VIRTUAL STAGING
10.8.5 INTERACTIVE PROPERTY TOURS
10.8.6 CONSTRUCTION WORKFLOW SIMULATION
10.8.7 3D PROPERTY MODELING
10.8.8 OTHER CONSTRUCTION & REAL ESTATE USE CASES
10.9 ENERGY & UTILITIES
10.9.1 SPIKE IN DEMAND FOR SIMPLIFIED OPERATIONS, IMPROVED PREDICTION ABILITIES, AND ENHANCED SAFETY MEASURES TO PROPEL MARKET GROWTH
10.9.2 SUBSURFACE IMAGING
10.9.3 GIS DATA & SATELLITE IMAGERY ANALYSIS
10.9.4 RESERVOIR SIMULATION AND MODELING
10.9.5 SEISMIC IMAGE ANALYSIS
10.9.6 GEOTHERMAL ENERGY EXPLORATION
10.9.7 PIPELINE INTEGRITY MONITORING
10.9.8 OTHER ENERGY & UTILITY USE CASES
10.10 GOVERNMENT & DEFENSE
10.10.1 GENERATIVE AI TO OPEN NEW AVENUES FOR ADDRESSING EVOLVING SECURITY THREATS
10.10.2 SATELLITE IMAGE ANALYSIS
10.10.3 DISASTER RESPONSE SIMULATION
10.10.4 SURVEILLANCE & SECURITY ENHANCEMENT
10.10.5 PUBLIC SAFETY TRAINING SIMULATIONS
10.10.6 EMERGENCY RESPONSE SIMULATIONS
10.10.7 TRAINING SIMULATIONS AND VIRTUAL BATTLEFIELDS
10.10.8 OTHER GOVERNMENT & DEFENSE USE CASES
10.11 IT & ITES
10.11.1 INCREASING DEMAND FOR INNOVATIVE, EFFICIENT, AND COST-EFFICIENT SOLUTIONS TO DRIVE MARKET
10.11.2 IT PROCESS SIMULATION
10.11.3 VIRTUAL IT DEMOS
10.11.4 IT COMPLIANCE TRAINING
10.11.5 IT INFRASTRUCTURE MONITORING
10.11.6 OTHER IT & ITES USE CASES
10.12 TELECOMMUNICATIONS
10.12.1 GENERATIVE AI TO AID IN TRANSFORMING NETWORK SURVEILLANCE, TOPOLOGY MAPPING, AND EXPANSION PLANNING
10.12.2 NETWORK INFRASTRUCTURE VISUALIZATION
10.12.3 SIGNAL STRENGTH MAPPING
10.12.4 VIRTUAL NETWORK SLICING DEMONSTRATIONS
10.12.5 NETWORK SECURITY THREAT VISUALIZATION
10.12.6 OTHER TELECOMMUNICATIONS USE CASES
10.13 OTHER VERTICALS
11 AI IMAGE AND VIDEO GENERATOR MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 NORTH AMERICA: AI IMAGE AND VIDEO GENERATOR MARKET DRIVERS
11.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
11.2.3 US
11.2.3.1 Growing need for affordable and high-quality content creation to boost market
11.2.4 CANADA
11.2.4.1 Increasing need for innovative content creation tools to fuel market growth
11.3 EUROPE
11.3.1 EUROPE: AI IMAGE AND VIDEO GENERATOR MARKET DRIVERS
11.3.2 EUROPE: MACROECONOMIC OUTLOOK
11.3.3 UK
11.3.3.1 Growing need for adaptable video and image solutions to drive market
11.3.4 GERMANY
11.3.4.1 Increasing investments in AI R&D and collaborations to accelerate market growth
11.3.5 FRANCE
11.3.5.1 Advancements in deep learning and computer vision technologies to propel market
11.3.6 ITALY
11.3.6.1 Steady developments in AI technology and creative applications to bolster market growth
11.3.7 SPAIN
11.3.7.1 Increasing demand for content creation tools to accelerate market growth
11.3.8 FINLAND
11.3.8.1 New talent and innovative solutions to drive market
11.3.9 REST OF EUROPE
11.4 ASIA PACIFIC
11.4.1 ASIA PACIFIC: AI IMAGE AND VIDEO GENERATOR MARKET DRIVERS
11.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
11.4.3 CHINA
11.4.3.1 Strong inclination toward digital transformation to foster market growth
11.4.4 JAPAN
11.4.4.1 Growing need for automated content creation tools in advertising, entertainment, and social media sectors to boost market
11.4.5 INDIA
11.4.5.1 Advancements in machine learning and increase in digital content creation to propel market growth
11.4.6 SOUTH KOREA
11.4.6.1 Government initiatives and increased development in generative AI video and image industries to boost market
11.4.7 ANZ
11.4.7.1 Rising demand for creative digital content to drive market
11.4.8 SINGAPORE
11.4.8.1 Surging demand for more effective and engaging visual content to foster market growth
11.4.9 REST OF ASIA PACIFIC
11.5 MIDDLE EAST & AFRICA
11.5.1 MIDDLE EAST & AFRICA: AI IMAGE AND VIDEO GENERATOR MARKET DRIVERS
11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
11.5.3 MIDDLE EAST
11.5.3.1 UAE
11.5.3.1.1 Commitment to technological innovation and digital transformation to fuel market growth
11.5.3.2 Saudi Arabia
11.5.3.2.1 Country's focus on digital transformation and achieving Vision 2030 objectives to drive market
11.5.3.3 Qatar
11.5.3.3.1 Increasing utilization of generative AI technologies in various sectors to drive market
11.5.3.4 Turkey
11.5.3.4.1 Developing tech community and increase in creative initiatives using AI to propel market growth
11.5.3.5 Rest of Middle East
11.5.4 AFRICA
11.6 LATIN AMERICA
11.6.1 LATIN AMERICA: AI IMAGE AND VIDEO GENERATOR MARKET DRIVERS
11.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
11.6.3 BRAZIL
11.6.3.1 Rapid technological progress and growing creative sector to drive market
11.6.4 MEXICO
11.6.4.1 Government's encouragement of tech innovation and digital transformation to boost market growth
11.6.5 ARGENTINA
11.6.5.1 Government initiatives and foreign investments to drive market
11.6.6 REST OF LATIN AMERICA
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
12.3 REVENUE ANALYSIS
12.4 MARKET SHARE ANALYSIS
12.4.1 MARKET SHARE OF KEY PLAYERS OFFERING AI IMAGE GENERATOR
12.4.1.1 Market ranking analysis
12.4.2 MARKET SHARE OF KEY PLAYERS OFFERING AI VIDEO GENERATOR
12.4.2.1 Market ranking analysis
12.5 PRODUCT COMPARATIVE ANALYSIS
12.5.1 PRODUCT COMPARATIVE ANALYSIS, BY AI IMAGE GENERATOR
12.5.1.1 DALL-E (OpenAI)
12.5.1.2 Firefly (Adobe)
12.5.1.3 Midjourney (Midjourney)
12.5.1.4 Picasso (NVIDIA)
12.5.1.5 Photoleap (Lightricks)
12.5.2 PRODUCT COMPARATIVE ANALYSIS, BY AI VIDEO GENERATOR
12.5.2.1 Synthesia platform (Synthesia)
12.5.2.2 Lumen5 platform (Lumen5)
12.5.2.3 Elai.io platform (Elai.io)
12.5.2.4 Sora (OpenAI)
12.5.2.5 Creative Reality Studio (D-ID)
12.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
12.6.1 KEY PLAYERS OFFERING AI IMAGE GENERATORS
12.6.1.1 Stars
12.6.1.2 Emerging leaders
12.6.1.3 Pervasive players
12.6.1.4 Participants
12.6.1.5 Company footprint: key players, 2023
12.6.1.5.1 Company footprint
12.6.1.5.2 Region footprint
12.6.1.5.3 Offering footprint
12.6.1.5.4 Application footprint
12.6.1.5.5 Vertical footprint
12.6.2 KEY PLAYERS OFFERING AI VIDEO GENERATORS
12.6.2.1 Stars
12.6.2.2 Emerging leaders
12.6.2.3 Pervasive players
12.6.2.4 Participants
12.6.2.5 Company footprint: key players, 2023
12.6.2.5.1 Company footprint
12.6.2.5.2 Region footprint
12.6.2.5.3 Offering footprint
12.6.2.5.4 Application footprint
12.6.2.5.5 Vertical footprint
12.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
12.7.1 PROGRESSIVE COMPANIES
12.7.2 RESPONSIVE COMPANIES
12.7.3 DYNAMIC COMPANIES
12.7.4 STARTING BLOCKS
12.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
12.7.5.1 Detailed list of key startups/SMEs
12.7.6 COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
12.8 COMPETITIVE SCENARIO AND TRENDS
12.8.1 PRODUCT LAUNCHES
12.8.2 DEALS
12.9 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
13 COMPANY PROFILES
13.1 INTRODUCTION
13.2 KEY PLAYERS
13.2.1 GOOGLE
13.2.1.1 Business overview
13.2.1.2 Products/Solutions/Services offered
13.2.1.3 Recent developments
13.2.1.4 MnM view
13.2.1.4.1 Key strengths
13.2.1.4.2 Strategic choices made
13.2.1.4.3 Weaknesses and competitive threats
13.2.2 MICROSOFT
13.2.2.1 Business overview
13.2.2.2 Products/Solutions/Services offered
13.2.2.3 Recent developments
13.2.2.4 MnM view
13.2.2.4.1 Key strengths
13.2.2.4.2 Strategic choices made
13.2.2.4.3 Weaknesses and competitive threats
13.2.3 AWS
13.2.3.1 Business overview
13.2.3.2 Products/Solutions/Services offered
13.2.3.3 Recent developments
13.2.3.4 MnM view
13.2.3.4.1 Key strengths
13.2.3.4.2 Strategic choices made
13.2.3.4.3 Weaknesses and competitive threats
13.2.4 ADOBE
13.2.4.1 Business overview
13.2.4.2 Products/Solutions/Services offered
13.2.4.3 Recent developments
13.2.4.4 MnM view
13.2.4.4.1 Key strengths
13.2.4.4.2 Strategic choices made
13.2.4.4.3 Weaknesses and competitive threats
13.2.5 NVIDIA
13.2.5.1 Business overview
13.2.5.2 Products/Solutions/Services offered
13.2.5.3 Recent developments
13.2.5.4 MnM view
13.2.5.4.1 Key strengths
13.2.5.4.2 Strategic choices made
13.2.5.4.3 Weaknesses and competitive threats
13.2.6 OPENAI
13.2.6.1 Business overview
13.2.6.2 Products/Solutions/Services offered
13.2.6.3 Recent developments
13.2.7 META
13.2.7.1 Business overview
13.2.7.2 Products/Solutions/Services offered
13.2.7.3 Recent developments
13.2.8 ANTHROPIC
13.2.8.1 Business overview
13.2.8.2 Products/Solutions/Services offered
13.2.8.3 Recent developments
13.2.9 DATABRICKS
13.2.9.1 Business overview
13.2.9.2 Products/Solutions/Services offered
13.2.9.3 Recent developments
13.2.10 LIGHTRICKS
13.2.11 MIDJOURNEY
13.2.12 VEED.IO
13.2.13 SYNTHESIA
13.2.14 JASPER
13.2.15 ANIMAKER
13.2.16 SPEECHIFY
13.3 OTHER KEY PLAYERS
13.3.1 KREA AI
13.3.2 SIMPLIFIED
13.3.3 LUMEN5
13.3.4 RUNWAY
13.3.5 HYPOTENUSE AI
13.3.6 WRITESONIC
13.3.7 COLOSSYAN
13.3.8 D-ID
13.3.9 DESCRIPT
13.3.10 DEEPBRAIN AI
13.3.11 CASPA AI
13.3.12 FACET AI
13.3.13 FLIKI
13.3.14 ELAI.IO
13.3.15 SYNTHESIS AI
13.3.16 INWORLD AI
13.3.17 INVIDEO
13.3.18 HEYGEN
13.3.19 TAVUS
13.3.20 LOVO AI
13.3.21 APPY PIE
13.3.22 DESIGNS.AI
13.3.23 FLEXCLIP
13.3.24 WONDERSHARE
14 ADJACENT AND RELATED MARKETS
14.1 INTRODUCTION
14.2 ARTIFICIAL INTELLIGENCE (AI) MARKET
14.2.1 MARKET DEFINITION
14.2.2 MARKET OVERVIEW
14.2.3 ARTIFICIAL INTELLIGENCE (AI) MARKET, BY OFFERING
14.2.4 ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY
14.2.5 ARTIFICIAL INTELLIGENCE (AI) MARKET, BY BUSINESS FUNCTION
14.2.6 ARTIFICIAL INTELLIGENCE (AI) MARKET, BY VERTICAL
14.2.7 ARTIFICIAL INTELLIGENCE (AI) MARKET, BY REGION
14.3 GENERATIVE AI MARKET
14.3.1 MARKET DEFINITION
14.3.2 MARKET OVERVIEW
14.3.3 GENERATIVE AI MARKET, BY OFFERING
14.3.4 GENERATIVE AI MARKET, BY DATA MODALITY
14.3.5 GENERATIVE AI MARKET, BY APPLICATION
14.3.6 GENERATIVE AI MARKET, BY VERTICAL
14.3.7 GENERATIVE AI MARKET, BY REGION
15 APPENDIX
15.1 DISCUSSION GUIDE
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.3 CUSTOMIZATION OPTIONS
15.4 RELATED REPORTS
15.5 AUTHOR DETAILS
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)
5.8.2.5 Latin America
5.8.2.5.1 Santiago Declaration (Chile)
5.8.2.5.2 Brazilian Artificial Intelligence Strategy (EBIA)
5.9 PATENT ANALYSIS
5.9.1 METHODOLOGY
5.9.2 PATENTS FILED, BY DOCUMENT TYPE
5.9.3 INNOVATION AND PATENT APPLICATIONS
5.9.4 KEY APPLICANTS IN AI IMAGE AND VIDEO GENERATOR MARKET
5.10 KEY CONFERENCES AND EVENTS
5.11 PORTER’S FIVE FORCES ANALYSIS
5.11.1 THREAT OF NEW ENTRANTS
5.11.2 THREAT OF SUBSTITUTES
5.11.3 BARGAINING POWER OF SUPPLIERS
5.11.4 BARGAINING POWER OF BUYERS
5.11.5 INTENSITY OF COMPETITIVE RIVALRY
5.12 PRICING ANALYSIS
5.12.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY TOP APPLICATION
5.12.2 INDICATIVE PRICING ANALYSIS, BY OFFERING
5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
5.14 KEY STAKEHOLDERS & BUYING CRITERIA
5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.14.2 BUYING CRITERIA
5.15 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
5.16 GENERATIVE AI IMPACT ASSESSMENT INDEX
5.17 AI IMAGE AND VIDEO GENERATOR TECHNOLOGY ROADMAP
6 AI IMAGE AND VIDEO GENERATOR MARKET, BY OFFERING
6.1 INTRODUCTION
6.1.1 OFFERING: AI IMAGE AND VIDEO GENERATOR MARKET DRIVERS
6.2 SOFTWARE
6.2.1 GENERATIVE AI SOFTWARE TO REVOLUTIONIZE VISUAL CONTENT CREATION
6.2.2 TECHNOLOGY
6.2.2.1 Generative adversarial networks
6.2.2.1.1 Conditional GANs
6.2.2.1.2 StyleGANs
6.2.2.1.3 CycleGANs
6.2.2.2 Transformer models
6.2.2.3 Convolutional neural networks
6.2.2.3.1 Image-generating CNNs
6.2.2.3.2 Video-generating CNNs
6.2.2.4 Variational autoencoders
6.2.2.5 Other software technologies
6.2.3 DEPLOYMENT MODE
6.2.3.1 Cloud
6.2.3.2 On-premises
6.3 SERVICES
6.3.1 EXPERTISE IN OPTIMIZING AI MODELS TO ENSURE HIGH-QUALITY OUTPUTS
6.3.2 PROFESSIONAL SERVICES
6.3.2.1 Training & consulting services
6.3.2.2 System integration & implementation services
6.3.2.3 Support & maintenance services
6.3.3 MANAGED SERVICES
7 AI IMAGE AND VIDEO GENERATOR MARKET, BY APPLICATION
7.1 INTRODUCTION
7.1.1 APPLICATION: AI IMAGE & VIDEO GENERATOR MARKET DRIVERS
7.2 AI IMAGE GENERATOR
7.2.1 RISING NEED TO TRANSFORM TEXT PROMPTS INTO HIGHLY REALISTIC IMAGES TO BOOST MARKET GROWTH
7.3 AI VIDEO GENERATOR
7.3.1 VIDEO SYNTHESIS, ENHANCEMENT, AND EXTENSION TO OFFER NEW POSSIBILITIES FOR IMMERSIVE EXPERIENCES
8 AI IMAGE GENERATOR MARKET
8.1 INTRODUCTION
8.1.1 AI IMAGE GENERATOR MARKET DRIVERS
8.2 IMAGE GENERATION
8.2.1 RAPID PROTOTYPING AND CREATIVE EXPLORATION TO ACCELERATE MARKET GROWTH
8.3 SEMANTIC IMAGE-TO-PHOTO TRANSLATION
8.3.1 TRANSLATION OF ABSTRACT REPRESENTATIONS INTO DETAILED, REALISTIC VISUALS TO SIGNIFICANTLY SPEED UP DESIGN WORKFLOWS
8.4 IMAGE-TO-IMAGE CONVERSION
8.4.1 CREATIVE EXPRESSION THROUGH ARTISTIC FILTERS AND STYLES TO DRIVE MARKET
8.5 IMAGE RESOLUTION INCREASE
8.5.1 APPLICATIONS IN FORENSIC ANALYSIS AND MEDICAL DIAGNOSES TO PROPEL MARKET GROWTH
8.6 3D SHAPE GENERATION
8.6.1 GROWING NEED FOR FOSTERING INNOVATION IN CREATING VISUALLY COMPELLING AND FUNCTIONAL 3D MODELS TO BOLSTER MARKET GROWTH
8.7 OTHER IMAGE-BASED APPLICATIONS
9 AI VIDEO GENERATOR MARKET
9.1 INTRODUCTION
9.1.1 AI VIDEO GENERATOR MARKET DRIVERS
9.2 VIDEO GENERATION
9.2.1 SOPHISTICATED NEURAL NETWORKS TO ENABLE AI VIDEO GENERATORS PRODUCE REALISTIC, DETAILED, AND CONTEXTUALLY RELEVANT VIDEOS
9.3 VIDEO PREDICTION
9.3.1 VIDEO PREDICTION TO ENABLE CREATION OF HIGHLY REALISTIC SIMULATIONS AND ENHANCE USER EXPERIENCE
9.4 VIDEO EDITING & ENHANCEMENT
9.4.1 INTEGRATION OF GENAI IN VIDEO EDITING AND ENHANCEMENT TO OFFER INNOVATIVE POSSIBILITIES IN DIGITAL MEDIA LANDSCAPE
9.5 VIDEO COMPRESSION & TRANSMISSION
9.5.1 REAL-TIME PROCESSING AND REDUCED LATENCY TO PROPEL MARKET GROWTH
9.6 CREATIVE STORYTELLING
9.6.1 INTEGRATION OF AI INTO VISUAL CONTENT CREATION TO FOSTER NEW WAVE OF STORYTELLING POSSIBILITIES
9.7 VIDEO ANNOTATION
9.7.1 GROWING NEED FOR COMPREHENSIVE AND PRECISE VIDEO ANNOTATION TO BOOST MARKET
9.8 VIDEO SYNTHESIS & CONTENT CREATION
9.8.1 RISING DEMAND FOR PERSONALIZED CONTENT GENERATION TO DRIVE MARKET
9.9 OTHER VIDEO-BASED APPLICATIONS
10 GENERATIVE AI VIDEO AND IMAGE MARKET, BY VERTICAL
10.1 INTRODUCTION
10.1.1 VERTICAL: AI IMAGE AND VIDEO GENERATOR MARKET DRIVERS
10.2 MEDIA & ENTERTAINMENT
10.2.1 GENERATIVE AI TO IMPROVE VIEWER ENGAGEMENT AND EXPAND POSSIBILITIES IN VISUAL STORYTELLING
10.2.2 NEWS GENERATION
10.2.3 CREATIVE AD GENERATION
10.2.4 FACE & CHARACTER GENERATION
10.2.5 VISUAL EFFECTS ENHANCEMENT
10.2.6 GAME STRATEGY VISUALIZATION
10.2.7 VIRTUAL NEWS ANCHORS
10.2.8 OTHER MEDIA & ENTERTAINMENT USE CASES
10.3 BFSI
10.3.1 CUSTOMIZED FINANCIAL ADVICE VIDEOS, ENHANCED CLIENT SATISFACTION, AND OPERATIONAL EFFICIENCY TO BOOST MARKET
10.3.2 TRANSACTION ANOMALY DETECTION
10.3.3 VIDEO BIOMETRICS
10.3.4 AUTOMATED CLAIMS REPORTING
10.3.5 INTERACTIVE BANKING TUTORIALS
10.3.6 E-KYC
10.3.7 REAL-TIME RISK MANAGEMENT
10.3.8 OTHER BFSI USE CASES
10.4 HEALTHCARE & LIFE SCIENCES
10.4.1 GENERATIVE AI TRANSFORMS HEALTHCARE WITH ADVANCED IMAGING, DISEASE DETECTION, AND PERSONALIZED PATIENT CARE
10.4.2 SYNTHETIC MEDICAL IMAGING
10.4.3 DISEASE DETECTION & SEGMENTATION
10.4.4 3D ORGAN RECONSTRUCTION
10.4.5 SURGICAL PROCEDURE SIMULATION
10.4.6 DISEASE PROGRESSION VISUALIZATION
10.4.7 COMPOUND SCREENING
10.4.8 OTHER HEALTHCARE & LIFE SCIENCES USE CASES
10.5 MANUFACTURING
10.5.1 SURGING DEMAND FOR IMPROVED DECISION-MAKING AND STREAMLINED PRODUCTION PROCESSES TO DRIVE MARKET
10.5.2 PRODUCT DESIGN/3D PROTOTYPING
10.5.3 PARTS AND COMPONENT CATALOGING
10.5.4 VIRTUAL FACTORY TOURS
10.5.5 MANUFACTURING PROCESS OPTIMIZATION
10.5.6 QUALITY CONTROL & DEFECT DETECTION
10.5.7 INVENTORY MANAGEMENT
10.5.8 OTHER MANUFACTURING USE CASES
10.6 RETAIL & ECOMMERCE
10.6.1 INCREASING NEED FOR STREAMLINED CONTENT CREATION AND IMPROVED ALIGNMENT WITH CONSUMER PREFERENCES TO DRIVE MARKET
10.6.2 VIRTUAL TRY-ON
10.6.3 PERSONALIZED CATALOG GENERATION
10.6.4 STORE LAYOUT VISUALIZATION
10.6.5 VIRTUAL UNBOXING EXPERIENCES
10.6.6 PRODUCT SHOWCASE VIDEOS
10.6.7 VISUAL SEARCH & PRODUCT DISCOVERY
10.6.8 OTHER RETAIL & ECOMMERCE USE CASES
10.7 TRANSPORTATION & LOGISTICS
10.7.1 GENERATIVE AI TRANSFORMS LOGISTICS AND TRANSPORTATION THROUGH ADVANCED VISUALIZATION, NAVIGATION, OPTIMIZATION, AND SECURITY TECHNOLOGIES
10.7.2 WAREHOUSE LAYOUT VISUALIZATION
10.7.3 AR-ENHANCED NAVIGATION
10.7.4 TRAFFIC FLOW SIMULATION
10.7.5 LOADING & UNLOADING OPTIMIZATION
10.7.6 PARKING MANAGEMENT
10.7.7 DRIVER BEHAVIOR ANALYSIS
10.7.8 OTHER TRANSPORTATION & LOGISTICS USE CASES
10.8 CONSTRUCTION & REAL ESTATE
10.8.1 AI-POWERED INTERACTIVE PROPERTY TOURS AND OPTIMIZED PROJECT MANAGEMENT TO DRIVE MARKET
10.8.2 ARCHITECTURAL DESIGN GENERATION
10.8.3 INTERIOR LAYOUT SUGGESTIONS
10.8.4 VIRTUAL STAGING
10.8.5 INTERACTIVE PROPERTY TOURS
10.8.6 CONSTRUCTION WORKFLOW SIMULATION
10.8.7 3D PROPERTY MODELING
10.8.8 OTHER CONSTRUCTION & REAL ESTATE USE CASES
10.9 ENERGY & UTILITIES
10.9.1 SPIKE IN DEMAND FOR SIMPLIFIED OPERATIONS, IMPROVED PREDICTION ABILITIES, AND ENHANCED SAFETY MEASURES TO PROPEL MARKET GROWTH
10.9.2 SUBSURFACE IMAGING
10.9.3 GIS DATA & SATELLITE IMAGERY ANALYSIS
10.9.4 RESERVOIR SIMULATION AND MODELING
10.9.5 SEISMIC IMAGE ANALYSIS
10.9.6 GEOTHERMAL ENERGY EXPLORATION
10.9.7 PIPELINE INTEGRITY MONITORING
10.9.8 OTHER ENERGY & UTILITY USE CASES
10.10 GOVERNMENT & DEFENSE
10.10.1 GENERATIVE AI TO OPEN NEW AVENUES FOR ADDRESSING EVOLVING SECURITY THREATS
10.10.2 SATELLITE IMAGE ANALYSIS
10.10.3 DISASTER RESPONSE SIMULATION
10.10.4 SURVEILLANCE & SECURITY ENHANCEMENT
10.10.5 PUBLIC SAFETY TRAINING SIMULATIONS
10.10.6 EMERGENCY RESPONSE SIMULATIONS
10.10.7 TRAINING SIMULATIONS AND VIRTUAL BATTLEFIELDS
10.10.8 OTHER GOVERNMENT & DEFENSE USE CASES
10.11 IT & ITES
10.11.1 INCREASING DEMAND FOR INNOVATIVE, EFFICIENT, AND COST-EFFICIENT SOLUTIONS TO DRIVE MARKET
10.11.2 IT PROCESS SIMULATION
10.11.3 VIRTUAL IT DEMOS
10.11.4 IT COMPLIANCE TRAINING
10.11.5 IT INFRASTRUCTURE MONITORING
10.11.6 OTHER IT & ITES USE CASES
10.12 TELECOMMUNICATIONS
10.12.1 GENERATIVE AI TO AID IN TRANSFORMING NETWORK SURVEILLANCE, TOPOLOGY MAPPING, AND EXPANSION PLANNING
10.12.2 NETWORK INFRASTRUCTURE VISUALIZATION
10.12.3 SIGNAL STRENGTH MAPPING
10.12.4 VIRTUAL NETWORK SLICING DEMONSTRATIONS
10.12.5 NETWORK SECURITY THREAT VISUALIZATION
10.12.6 OTHER TELECOMMUNICATIONS USE CASES
10.13 OTHER VERTICALS
11 AI IMAGE AND VIDEO GENERATOR MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 NORTH AMERICA: AI IMAGE AND VIDEO GENERATOR MARKET DRIVERS
11.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
11.2.3 US
11.2.3.1 Growing need for affordable and high-quality content creation to boost market
11.2.4 CANADA
11.2.4.1 Increasing need for innovative content creation tools to fuel market growth
11.3 EUROPE
11.3.1 EUROPE: AI IMAGE AND VIDEO GENERATOR MARKET DRIVERS
11.3.2 EUROPE: MACROECONOMIC OUTLOOK
11.3.3 UK
11.3.3.1 Growing need for adaptable video and image solutions to drive market
11.3.4 GERMANY
11.3.4.1 Increasing investments in AI R&D and collaborations to accelerate market growth
11.3.5 FRANCE
11.3.5.1 Advancements in deep learning and computer vision technologies to propel market
11.3.6 ITALY
11.3.6.1 Steady developments in AI technology and creative applications to bolster market growth
11.3.7 SPAIN
11.3.7.1 Increasing demand for content creation tools to accelerate market growth
11.3.8 FINLAND
11.3.8.1 New talent and innovative solutions to drive market
11.3.9 REST OF EUROPE
11.4 ASIA PACIFIC
11.4.1 ASIA PACIFIC: AI IMAGE AND VIDEO GENERATOR MARKET DRIVERS
11.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
11.4.3 CHINA
11.4.3.1 Strong inclination toward digital transformation to foster market growth
11.4.4 JAPAN
11.4.4.1 Growing need for automated content creation tools in advertising, entertainment, and social media sectors to boost market
11.4.5 INDIA
11.4.5.1 Advancements in machine learning and increase in digital content creation to propel market growth
11.4.6 SOUTH KOREA
11.4.6.1 Government initiatives and increased development in generative AI video and image industries to boost market
11.4.7 ANZ
11.4.7.1 Rising demand for creative digital content to drive market
11.4.8 SINGAPORE
11.4.8.1 Surging demand for more effective and engaging visual content to foster market growth
11.4.9 REST OF ASIA PACIFIC
11.5 MIDDLE EAST & AFRICA
11.5.1 MIDDLE EAST & AFRICA: AI IMAGE AND VIDEO GENERATOR MARKET DRIVERS
11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
11.5.3 MIDDLE EAST
11.5.3.1 UAE
11.5.3.1.1 Commitment to technological innovation and digital transformation to fuel market growth
11.5.3.2 Saudi Arabia
11.5.3.2.1 Country's focus on digital transformation and achieving Vision 2030 objectives to drive market
11.5.3.3 Qatar
11.5.3.3.1 Increasing utilization of generative AI technologies in various sectors to drive market
11.5.3.4 Turkey
11.5.3.4.1 Developing tech community and increase in creative initiatives using AI to propel market growth
11.5.3.5 Rest of Middle East
11.5.4 AFRICA
11.6 LATIN AMERICA
11.6.1 LATIN AMERICA: AI IMAGE AND VIDEO GENERATOR MARKET DRIVERS
11.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
11.6.3 BRAZIL
11.6.3.1 Rapid technological progress and growing creative sector to drive market
11.6.4 MEXICO
11.6.4.1 Government's encouragement of tech innovation and digital transformation to boost market growth
11.6.5 ARGENTINA
11.6.5.1 Government initiatives and foreign investments to drive market
11.6.6 REST OF LATIN AMERICA
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
12.3 REVENUE ANALYSIS
12.4 MARKET SHARE ANALYSIS
12.4.1 MARKET SHARE OF KEY PLAYERS OFFERING AI IMAGE GENERATOR
12.4.1.1 Market ranking analysis
12.4.2 MARKET SHARE OF KEY PLAYERS OFFERING AI VIDEO GENERATOR
12.4.2.1 Market ranking analysis
12.5 PRODUCT COMPARATIVE ANALYSIS
12.5.1 PRODUCT COMPARATIVE ANALYSIS, BY AI IMAGE GENERATOR
12.5.1.1 DALL-E (OpenAI)
12.5.1.2 Firefly (Adobe)
12.5.1.3 Midjourney (Midjourney)
12.5.1.4 Picasso (NVIDIA)
12.5.1.5 Photoleap (Lightricks)
12.5.2 PRODUCT COMPARATIVE ANALYSIS, BY AI VIDEO GENERATOR
12.5.2.1 Synthesia platform (Synthesia)
12.5.2.2 Lumen5 platform (Lumen5)
12.5.2.3 Elai.io platform (Elai.io)
12.5.2.4 Sora (OpenAI)
12.5.2.5 Creative Reality Studio (D-ID)
12.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
12.6.1 KEY PLAYERS OFFERING AI IMAGE GENERATORS
12.6.1.1 Stars
12.6.1.2 Emerging leaders
12.6.1.3 Pervasive players
12.6.1.4 Participants
12.6.1.5 Company footprint: key players, 2023
12.6.1.5.1 Company footprint
12.6.1.5.2 Region footprint
12.6.1.5.3 Offering footprint
12.6.1.5.4 Application footprint
12.6.1.5.5 Vertical footprint
12.6.2 KEY PLAYERS OFFERING AI VIDEO GENERATORS
12.6.2.1 Stars
12.6.2.2 Emerging leaders
12.6.2.3 Pervasive players
12.6.2.4 Participants
12.6.2.5 Company footprint: key players, 2023
12.6.2.5.1 Company footprint
12.6.2.5.2 Region footprint
12.6.2.5.3 Offering footprint
12.6.2.5.4 Application footprint
12.6.2.5.5 Vertical footprint
12.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
12.7.1 PROGRESSIVE COMPANIES
12.7.2 RESPONSIVE COMPANIES
12.7.3 DYNAMIC COMPANIES
12.7.4 STARTING BLOCKS
12.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
12.7.5.1 Detailed list of key startups/SMEs
12.7.6 COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
12.8 COMPETITIVE SCENARIO AND TRENDS
12.8.1 PRODUCT LAUNCHES
12.8.2 DEALS
12.9 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
13 COMPANY PROFILES
13.1 INTRODUCTION
13.2 KEY PLAYERS
13.2.1 GOOGLE
13.2.1.1 Business overview
13.2.1.2 Products/Solutions/Services offered
13.2.1.3 Recent developments
13.2.1.4 MnM view
13.2.1.4.1 Key strengths
13.2.1.4.2 Strategic choices made
13.2.1.4.3 Weaknesses and competitive threats
13.2.2 MICROSOFT
13.2.2.1 Business overview
13.2.2.2 Products/Solutions/Services offered
13.2.2.3 Recent developments
13.2.2.4 MnM view
13.2.2.4.1 Key strengths
13.2.2.4.2 Strategic choices made
13.2.2.4.3 Weaknesses and competitive threats
13.2.3 AWS
13.2.3.1 Business overview
13.2.3.2 Products/Solutions/Services offered
13.2.3.3 Recent developments
13.2.3.4 MnM view
13.2.3.4.1 Key strengths
13.2.3.4.2 Strategic choices made
13.2.3.4.3 Weaknesses and competitive threats
13.2.4 ADOBE
13.2.4.1 Business overview
13.2.4.2 Products/Solutions/Services offered
13.2.4.3 Recent developments
13.2.4.4 MnM view
13.2.4.4.1 Key strengths
13.2.4.4.2 Strategic choices made
13.2.4.4.3 Weaknesses and competitive threats
13.2.5 NVIDIA
13.2.5.1 Business overview
13.2.5.2 Products/Solutions/Services offered
13.2.5.3 Recent developments
13.2.5.4 MnM view
13.2.5.4.1 Key strengths
13.2.5.4.2 Strategic choices made
13.2.5.4.3 Weaknesses and competitive threats
13.2.6 OPENAI
13.2.6.1 Business overview
13.2.6.2 Products/Solutions/Services offered
13.2.6.3 Recent developments
13.2.7 META
13.2.7.1 Business overview
13.2.7.2 Products/Solutions/Services offered
13.2.7.3 Recent developments
13.2.8 ANTHROPIC
13.2.8.1 Business overview
13.2.8.2 Products/Solutions/Services offered
13.2.8.3 Recent developments
13.2.9 DATABRICKS
13.2.9.1 Business overview
13.2.9.2 Products/Solutions/Services offered
13.2.9.3 Recent developments
13.2.10 LIGHTRICKS
13.2.11 MIDJOURNEY
13.2.12 VEED.IO
13.2.13 SYNTHESIA
13.2.14 JASPER
13.2.15 ANIMAKER
13.2.16 SPEECHIFY
13.3 OTHER KEY PLAYERS
13.3.1 KREA AI
13.3.2 SIMPLIFIED
13.3.3 LUMEN5
13.3.4 RUNWAY
13.3.5 HYPOTENUSE AI
13.3.6 WRITESONIC
13.3.7 COLOSSYAN
13.3.8 D-ID
13.3.9 DESCRIPT
13.3.10 DEEPBRAIN AI
13.3.11 CASPA AI
13.3.12 FACET AI
13.3.13 FLIKI
13.3.14 ELAI.IO
13.3.15 SYNTHESIS AI
13.3.16 INWORLD AI
13.3.17 INVIDEO
13.3.18 HEYGEN
13.3.19 TAVUS
13.3.20 LOVO AI
13.3.21 APPY PIE
13.3.22 DESIGNS.AI
13.3.23 FLEXCLIP
13.3.24 WONDERSHARE
14 ADJACENT AND RELATED MARKETS
14.1 INTRODUCTION
14.2 ARTIFICIAL INTELLIGENCE (AI) MARKET
14.2.1 MARKET DEFINITION
14.2.2 MARKET OVERVIEW
14.2.3 ARTIFICIAL INTELLIGENCE (AI) MARKET, BY OFFERING
14.2.4 ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY
14.2.5 ARTIFICIAL INTELLIGENCE (AI) MARKET, BY BUSINESS FUNCTION
14.2.6 ARTIFICIAL INTELLIGENCE (AI) MARKET, BY VERTICAL
14.2.7 ARTIFICIAL INTELLIGENCE (AI) MARKET, BY REGION
14.3 GENERATIVE AI MARKET
14.3.1 MARKET DEFINITION
14.3.2 MARKET OVERVIEW
14.3.3 GENERATIVE AI MARKET, BY OFFERING
14.3.4 GENERATIVE AI MARKET, BY DATA MODALITY
14.3.5 GENERATIVE AI MARKET, BY APPLICATION
14.3.6 GENERATIVE AI MARKET, BY VERTICAL
14.3.7 GENERATIVE AI MARKET, BY REGION
15 APPENDIX
15.1 DISCUSSION GUIDE
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.3 CUSTOMIZATION OPTIONS
15.4 RELATED REPORTS
15.5 AUTHOR DETAILS
