Summary

The AI in media market is projected to grow from USD 8.21 billion in 2024 to USD 51.08 billion by 2030, at a compound annual growth rate (CAGR) of 35.6% during the forecast period. Content generation is poised to lead the AI market in media due to its ability to enhance creativity and efficiency. Generative AI allows for the rapid creation of high-quality content, significantly reducing production time and costs. This technology enables filmmakers and content creators to automate mundane tasks, freeing them to focus on creative aspects. Additionally, it facilitates hyper-personalized content tailored to individual viewer preferences, improving audience engagement and retention.
“By entertainment application, predicting viewer preferences segment will lead the market during the forecast period.”
Predicting viewer preferences is set to lead the AI market in media due to its transformative impact on content personalization and user engagement. By leveraging advanced algorithms, companies can analyze vast datasets, including viewing history and demographic information, to deliver tailored recommendations. This level of personalization not only enhances user satisfaction but also increases retention rates, as audiences are more likely to engage with content that resonates with their interests.
“By region, Asia Pacific to register the highest CAGR market during the forecast period.” The Asia-Pacific region is witnessing the highest CAGR in the AI in media market, driven by several key factors. Rapid internet penetration across emerging economies such as India and Vietnam are significantly expanding online media consumption, fueling the demand for AI-driven solutions. The rising popularity of over-the-top (OTT) streaming platforms is reshaping viewing habits, with an increasing emphasis on delivering personalized content powered by AI technologies. Leading players, including Alibaba and Netflix, are making substantial investments in AI to enhance content creation, management, and distribution, fostering continuous innovation.

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 in media market.
 By Company: Tier I: 45%, Tier II: 35%, and Tier III: 20%
 By Designation: C-Level: 35%, Director Level: 25%, and Others: 40%
 By Region: North America: 40%, Europe: 25%, Asia Pacific: 20%, Middle East & Africa: 10%, and Latin America: 5%.
Google (US), Microsoft (US), IBM (US), Meta (US), OpenAI (US), Baidu (China), AWS (US), Adobe (US), Sprinklr (US), C3 AI (US), Hootsuite (US) ; are some of the key players in the AI in media market.
The study includes an in-depth competitive analysis of these key players in the AI in media market, including their company profiles, recent developments, and key market strategies.
Research Coverage
This research report categorizes the AI in media market by offering (software type and services), software type (content generation, content distribution, audience analytics, workflow automation and others), by deployment mode (cloud and on-premises), services (professional services and managed services), by technology (generative AI and other AI), by application (media (article writing, video production, fake news detection, language moderation, ad safety optimization and newsroom analytics), entertainment (film scriptwriting, VFX and scriptwriting, real-time OTT content moderation, predicting viewer preferences, post-production workflow editing, NPC behavior modelling, gaming content optimization, immersive entertainment), by End user (media (news & publishing, social media platforms, advertising & marketing agencies, broadcasting & journalism, individual users and others), entertainment (film studios, gaming companies/ game development companies, television & OTT platform, live events & sports broadcasting, theme parks/ amusement parks, music production, individual users, and others) and by region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI in media market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions and services, key strategies, Contracts, partnerships, and agreements. new product & service launches, mergers and acquisitions, and recent developments associated with the AI in media market. Competitive analysis of upcoming startups in the AI in media market ecosystem is covered in this report.


Key Benefits of Buying the Report
The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI in media market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and to plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
• Analysis of key drivers (exploring new creative opportunities with generative AI, Hyper-personalized media experiences with AI, and AI revolutionizing animation and visual effects in entertainment), restraints (ethical and copyright issues in AI-generated content and Inadequate legal protection against deepfake issues), opportunities (enhancing credibility through AI-driven fake news detection, personalized advertising through AI-driven user insights, and dynamic storytelling through tailored narratives in media experiences), and challenges (AI tools threaten jobs in entertainment industry, lack of transparency hinders trust in AI decisions, and AI’s impact on creativity and originality influencing the growth of the AI in media market.
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI in media market
• Market Development: Comprehensive information about lucrative markets – the report analyses the AI in media market across varied regions.
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI in media market
• Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players Google (US), Microsoft (US), IBM (US), Meta (US), OpenAI (US), Baidu (China), AWS (US), Adobe (US), Sprinklr (US), C3 AI (US), Hootsuite (US), Veritone (US), Taboola (US), Sprout Social (US), SymphonyAI (US), Brightcove (US), Unity (US), Yellow.ai (US), Appier (US), Snowflake (US), Autodesk (US), Verbit (US), Ubisoft (France), Vimeo (US) among others in AI in media market.

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Table of Contents

1 INTRODUCTION 39
1.1 STUDY OBJECTIVES 39
1.2 MARKET DEFINITION 39
1.2.1 INCLUSIONS AND EXCLUSIONS 40
1.3 MARKET SCOPE 41
1.3.1 MARKET SEGMENTATION 41
1.3.2 YEARS CONSIDERED 44
1.4 CURRENCY CONSIDERED 44
1.5 STAKEHOLDERS 45
2 RESEARCH METHODOLOGY 46
2.1 RESEARCH DATA 46
2.1.1 SECONDARY DATA 47
2.1.2 PRIMARY DATA 47
2.1.2.1 Breakup of primary profiles 48
2.1.2.2 Key industry insights 48
2.2 DATA TRIANGULATION 49
2.3 MARKET SIZE ESTIMATION 50
2.3.1 TOP-DOWN APPROACH 50
2.3.2 BOTTOM-UP APPROACH 51
2.4 MARKET FORECAST 54
2.5 RESEARCH ASSUMPTIONS 55
2.6 RISK ASSESSMENT 57
2.7 RESEARCH LIMITATIONS 57
3 EXECUTIVE SUMMARY 58
4 PREMIUM INSIGHTS 65
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN MEDIA AND
ENTERTAINMENT MARKET 65
4.2 AI IN MEDIA AND ENTERTAINMENT MARKET, BY TOP 3 MEDIA APPLICATIONS 66
4.3 AI IN MEDIA AND ENTERTAINMENT MARKET, BY TOP 3 ENTERTAINMENT APPLICATIONS 66
4.4 NORTH AMERICA: AI IN MEDIA AND ENTERTAINMENT MARKET, BY DEPLOYMENT MODE AND END USER 67
4.5 AI IN MEDIA AND ENTERTAINMENT MARKET, BY REGION 67
 
5 MARKET OVERVIEW 68
5.1 INTRODUCTION 68
5.2 MARKET DYNAMICS 68
5.2.1 DRIVERS 69
5.2.1.1 New creative possibilities unlocked by generative AI 69
5.2.1.2 Hyper-personalized media experiences with AI 70
5.2.1.3 Increasing integration of AI into animation and visual effects sectors 70
5.2.2 RESTRAINTS 70
5.2.2.1 Ethical and copyright issues in AI-generated content 70
5.2.2.2 Inadequate legal protection against deepfake misuse 71
5.2.3 OPPORTUNITIES 71
5.2.3.1 Enhancing credibility through AI-driven fake news detection 71
5.2.3.2 Personalized advertising through AI-driven user insights 71
5.2.3.3 Dynamic storytelling through tailored narratives 72
5.2.4 CHALLENGES 72
5.2.4.1 AI threat to jobs in entertainment industry 72
5.2.4.2 Lack of transparency hindering trust in AI decisions 73
5.2.4.3 Impact of AI on creativity and originality 73
6 INDUSTRY TRENDS 74
6.1 EVOLUTION OF AI IN MEDIA AND ENTERTAINMENT MARKET 74
6.2 CASE STUDY ANALYSIS 76
6.2.1 SPRINKLR EMPOWERS HYPERSPACE TO ENHANCE AUDIENCE ENGAGEMENT AND STREAMLINE OPERATIONS 76
6.2.2 SUCCESS OF DRAFTKINGS THROUGH MULTICHANNEL ADVERTISING STRATEGY WITH VERITONE 77
6.2.3 REVEDIA PLATFORM STREAMLINED MANUAL WORKFLOWS INTO UNIFIED SYSTEM AND IMPROVED OPERATIONAL EFFICIENCY 78
6.2.4 WARNER MUSIC GROUP LEVERAGES SNOWFLAKE AND HIGHTOUCH TO 'SUPER-SERVE' FANS, ARTISTS, AND LABELS 79
6.2.5 ELEVATING SOCIAL MEDIA ENGAGEMENT: DNV'S TRANSFORMATION WITH LUMEN5 80
6.3 ECOSYSTEM ANALYSIS 81
6.3.1 CONTENT GENERATION PROVIDERS 83
6.3.2 CONTENT DISTRIBUTION PROVIDERS 83
6.3.3 AUDIENCE ANALYTICS PROVIDERS 83
6.3.4 WORKFLOW AUTOMATION PROVIDERS 83
6.3.5 OTHER AI TOOL PROVIDERS 84
6.3.6 END USERS 84
6.4 TECHNOLOGY ANALYSIS 84
6.4.1 KEY TECHNOLOGIES 84
6.4.1.1 NLP and deep learning 84
6.4.1.2 Computer vision 84
6.4.1.3 Predictive analytics 85
6.4.1.4 Robotic process automation (RPA) 85
6.4.2 COMPLEMENTARY TECHNOLOGIES 85
6.4.2.1 Cloud computing 85
6.4.2.2 Edge computing 85
6.4.2.3 IoT 86
6.4.2.4 Big data analytics 86
6.4.2.5 Blockchain 86
6.4.3 ADJACENT TECHNOLOGIES 86
6.4.3.1 5G 86
6.4.3.2 Digital twin 86
6.4.3.3 AR/VR 87
6.4.3.4 Quantum computing 87
6.5 REGULATORY LANDSCAPE 87
6.5.1 REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 87
6.5.2 REGULATORY FRAMEWORK 91
6.5.2.1 North America 91
6.5.2.1.1 US 91
6.5.2.1.2 Canada 91
6.5.2.2 Europe 91
6.5.2.2.1 Germany 91
6.5.2.2.2 UK 91
6.5.2.2.3 France 92
6.5.2.3 Asia Pacific 92
6.5.2.3.1 China 92
6.5.2.3.2 South Korea 92
6.5.2.3.3 Singapore 92
6.5.2.4 Middle East & Africa 92
6.5.2.4.1 UAE 92
6.5.2.4.2 Saudi Arabia 92
6.5.2.4.3 Kenya 93
6.5.2.5 Latin America 93
6.5.2.5.1 Brazil 93
6.5.2.5.2 Mexico 93
6.5.2.5.3 Argentina 93
6.6 SUPPLY CHAIN ANALYSIS 94
6.7 PORTER’S FIVE FORCES ANALYSIS 95
6.7.1 THREAT OF NEW ENTRANTS 96
6.7.2 THREAT OF SUBSTITUTES 96
6.7.3 BARGAINING POWER OF SUPPLIERS 97
 
6.7.4 BARGAINING POWER OF BUYERS 97
6.7.5 INTENSITY OF COMPETITIVE RIVALRY 97
6.8 KEY CONFERENCES AND EVENTS, 2024–2025 98
6.9 KEY STAKEHOLDERS AND BUYING CRITERIA 99
6.9.1 KEY STAKEHOLDERS IN BUYING PROCESS 99
6.9.2 BUYING CRITERIA 100
6.10 PRICING ANALYSIS 101
6.10.1 INDICATIVE PRICING ANALYSIS, BY SOFTWARE TYPE 101
6.10.2 INDICATIVE PRICING ANALYSIS, BY APPLICATION 102
6.11 PATENT ANALYSIS 102
6.11.1 METHODOLOGY 102
6.11.2 PATENTS FILED, BY DOCUMENT TYPE 102
6.11.3 INNOVATIONS AND PATENT APPLICATIONS 103
6.12 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 107
6.13 INVESTMENT AND FUNDING SCENARIO 108
6.14 IMPACT OF GENERATIVE AI ON AI IN MEDIA AND ENTERTAINMENT MARKET 109
6.14.1 USE CASES AND MARKET POTENTIAL 109
6.14.2 KEY USE CASES 110
6.14.2.1 Enhanced content creation 111
6.14.2.2 Personalization of user experience 111
6.14.2.3 Cost reduction in production 111
6.14.2.4 Improved audience engagement 111
6.14.2.5 Streamlined content distribution 111
6.14.2.6 New monetization opportunities 111
7 AI IN MEDIA AND ENTERTAINMENT MARKET, BY OFFERING 112
7.1 INTRODUCTION 113
7.1.1 OFFERING: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS 113
7.2 SOFTWARE 115
7.2.1 SOFTWARE TYPE 117
7.2.1.1 Content generation 117
7.2.1.1.1 Text 119
7.2.1.1.1.1 Revolutionizing media with AI-driven text content generation 119
7.2.1.1.2 Image 120
7.2.1.1.2.1 Automating visual creativity with generative AI 120
7.2.1.1.3 Audio 121
7.2.1.1.3.1 Empowering music creation with text-to-audio tools 121
7.2.1.1.4 Video 122
7.2.1.1.4.1 Revolutionizing video production through AI automation 122
7.2.1.1.5 Multimodal 123
7.2.1.1.5.1 Personalizing media experiences with user interaction insights 123
7.2.1.2 Content distribution 124
7.2.1.2.1 Ad targeting 125
7.2.1.2.1.1 Maximizing impact with intelligent AI-powered ad-targeting solutions 125
7.2.1.2.2 Personalized recommendations 125
7.2.1.2.2.1 Enhancing user engagement through personalized content recommendations 125
7.2.1.3 Audience analytics 125
7.2.1.3.1 Sentiment analysis 126
7.2.1.3.1.1 Leveraging sentiment analysis to understand audience reactions in media and entertainment 126
7.2.1.3.2 Behavior modeling 127
7.2.1.3.2.1 Enhancing content delivery and marketing strategies through AI-driven behavior modeling 127
7.2.1.3.3 Customer segmentation 127
7.2.1.3.3.1 Optimizing resources with AI-driven customer segmentation 127
7.2.1.3.4 Music recommendation and discovery 127
7.2.1.3.4.1 Elevating engagement and satisfaction with adaptive music recommendations 127
7.2.1.4 Workflow automation 128
7.2.1.4.1 Transcription 129
7.2.1.4.1.1 Revolutionizing live broadcasts with AI-driven transcription services 129
7.2.1.4.2 Metadata tagging 129
7.2.1.4.2.1 Enhancing content management through automated metadata tagging with AI 129
7.2.1.4.3 Indexing 130
7.2.1.4.3.1 Enhancing discoverability with AI solutions for efficient digital asset indexing 130
7.2.1.4.4 Translation and localization 130
7.2.1.4.4.1 Leveraging AI for effective localization in media 130
7.2.1.5 Other software types 130
7.2.2 DEPLOYMENT MODE 132
7.2.2.1 Cloud 133
7.2.2.1.1 Unlocking scalability and cost efficiency in media with cloud infrastructure 133
7.2.2.2 On-premises 134
7.2.2.2.1 Maximizing security and cost efficiency with on-premises AI solutions in media 134
7.3 SERVICES 135
7.3.1 PROFESSIONAL SERVICES 136
7.3.1.1 Harnessing AI to transform media and entertainment business models 136
7.3.1.2 Consulting & Advisory 139
7.3.1.3 Implementation & deployment 140
7.3.1.4 Support & maintenance 141
7.3.1.5 Training & enablement 142
7.3.2 MANAGED SERVICES 143
7.3.2.1 Optimizing advertising strategies with AI-driven managed services 143
8 AI IN MEDIA AND ENTERTAINMENT, BY TECHNOLOGY 144
8.1 INTRODUCTION 145
8.2 GENERATIVE AI 146
8.2.1 REVOLUTIONIZING CONTENT CREATION AND PERSONALIZATION WITH GENERATIVE AI 146
8.3 OTHER AI 147
8.3.1 UNLOCKING CREATIVITY: AI TRANSFORMS CONTENT CREATION AND USER ENGAGEMENT 147
9 AI IN MEDIA AND ENTERTAINMENT MARKET, BY APPLICATION 148
9.1 INTRODUCTION 149
9.1.1 APPLICATION: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS 149
9.2 MEDIA 149
9.2.1 ARTICLE WRITING & SUMMARIZING 151
9.2.1.1 Content personalization 152
9.2.1.1.1 Enhancing user experience with content personalization 152
9.2.1.2 Multilingual translation 152
9.2.1.2.1 Breaking language barriers through multilingual translation 152
9.2.1.3 Topic clustering and categorization 152
9.2.1.3.1 Streamlining insights with topic clustering and categorization 152
9.2.1.4 Others 153
9.2.2 VIDEO PRODUCTION 153
9.2.2.1 AI-based scene detection and sequencing 154
9.2.2.1.1 Unlocking precision: AI-powered scene detection and sequencing 154
9.2.2.2 Virtual production 154
9.2.2.2.1 Revolutionizing filmmaking: Virtual production technologies 154
9.2.2.3 Motion tracking and enhancement 155
9.2.2.3.1 Elevating performance: Advanced motion tracking and enhancement 155
9.2.2.4 Others 155
9.2.3 FAKE NEWS DETECTION 155
9.2.3.1 Context-based credibility scoring 156
9.2.3.1.1 Enhancing trustworthiness with context-aware scoring systems 156
9.2.3.2 Deepfake identification 157
9.2.3.2.1 Detecting and mitigating deepfake content for secure interactions 157
9.2.3.3 Automated data cross-referencing 157
9.2.3.3.1 Streamlining data validation through automation 157
9.2.3.4 Others 157
9.2.4 LANGUAGE MODERATION 158
9.2.4.1 Cultural sensitivity identification 159
9.2.4.1.1 Fostering respect through cultural sensitivity detection 159
9.2.4.2 Adaptive filtering 159
9.2.4.2.1 Dynamic content moderation with adaptive filtering 159
9.2.4.3 Profanity detection 159
9.2.4.3.1 Ensuring respectful communication with profanity detection 159
9.2.4.4 Others 160
9.2.5 AD SAFETY OPTIMIZATION 160
9.2.5.1 Behavioral pattern analysis 161
9.2.5.1.1 Enhancing security through user behavior insights 161
9.2.5.2 AI-driven ad placement 161
9.2.5.2.1 Maximizing engagement with intelligent ad targeting 161
9.2.5.3 Automated flagging 162
9.2.5.3.1 Swift identification and mitigation of harmful content 162
9.2.5.4 Others 162
9.2.6 NEWSROOM ANALYTICS 162
9.2.6.1 Predictive analytics for breaking news trends 163
9.2.6.1.1 Harnessing predictive analytics to anticipate breaking news trends 163
9.2.6.2 Editorial planning and content scheduling 164
9.2.6.2.1 Optimizing editorial planning and content scheduling for maximum impact 164
9.2.6.3 Competitive media benchmarking 164
9.2.6.3.1 Leveraging competitive media benchmarking to enhance performance 164
9.2.6.4 Others 164
9.3 ENTERTAINMENT 165
9.3.1 FILM SCRIPTWRITING, VFX, & STORYBOARDING 166
9.3.1.1 Dialogue and character development 167
9.3.1.1.1 Voices of conflict: Crafting dialogue to reveal character 167
9.3.1.2 Pre-visualization of scenes 168
9.3.1.2.1 Visualizing scenes enhances storytelling and guides in effective production design 168
9.3.1.3 Intelligent adaption of scripts 168
9.3.1.3.1 Adapting scripts intelligently ensures relevance while preserving original narrative essence 168
9.3.1.4 Others 168
9.3.2 REAL-TIME OTT CONTENT MODERATION 169
9.3.2.1 Context-based regional content filtering 170
9.3.2.1.1 Tailoring content delivery based on geographic location 170
9.3.2.2 Prohibited or inappropriate live content detection 170
9.3.2.2.1 Real-time monitoring for inappropriate content during live streams 170
9.3.2.3 Viewer comments analysis 170
9.3.2.3.1 Analyzing viewer feedback to enhance content engagement strategies 170
9.3.2.4 Others 170
9.3.3 PREDICTING VIEWER PREFERENCES 171
9.3.3.1 Contextual analysis 172
9.3.3.1.1 Understanding viewer preferences through contextual insights 172
9.3.3.2 Viewer behavior prediction 172
9.3.3.2.1 Forecasting audience engagement and content choices 172
9.3.3.3 Clustering viewers 172
9.3.3.3.1 Segmenting audiences for tailored recommendations 172
9.3.3.4 Others 172
9.3.4 POST-PRODUCTION WORKFLOW EDITING 173
9.3.4.1 Automated lip-syncing and dubbing 174
9.3.4.1.1 Seamless voice synchronization for global audiences 174
9.3.4.2 Noise reduction and clarity enhancement 174
9.3.4.2.1 Crystal-clear audio: Elevating sound quality 174
9.3.4.3 Frame restoration 174
9.3.4.3.1 Reviving visuals: Restoring frames to perfection 174
9.3.4.4 Others 174
9.3.5 NPC BEHAVIOR MODELING 175
9.3.5.1 Emotion stimulation 176
9.3.5.1.1 Eliciting player emotions through dynamic NPC interactions 176
9.3.5.2 Adaptive storytelling 176
9.3.5.2.1 Crafting personalized narratives with intelligent NPCs 176
9.3.5.3 NPC learning from player patterns 176
9.3.5.3.1 Enhancing NPC intelligence by analyzing player behavior 176
9.3.5.4 Others 176
9.3.6 GAMING CONTENT OPTIMIZATION 177
9.3.6.1 Player feedback integration 178
9.3.6.1.1 Enhancing engagement through player insights 178
9.3.6.2 Game logic testing and debugging 178
9.3.6.2.1 Ensuring flawless gameplay with rigorous testing 178
9.3.6.3 Procedural content generation 178
9.3.6.3.1 Dynamic worlds crafted by intelligent algorithms 178
9.3.6.4 Others 179
9.3.7 IMMERSIVE ENTERTAINMENT 179
9.3.7.1 Multi-sensory interaction 180
9.3.7.1.1 Engaging all senses for unforgettable experiences 180
9.3.7.2 Avatar customization 181
9.3.7.2.1 Crafting identity: Personalizing avatar adventure 181
9.3.7.3 Dynamic storytelling 181
9.3.7.3.1 Shaping narrative: Become the hero of the story 181
9.3.7.4 Others 181
10 AI IN MEDIA AND ENTERTAINMENT MARKET, BY END USER 182
10.1 INTRODUCTION 183
10.1.1 END USER: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS 184
10.2 MEDIA 184
10.2.1 NEWS & PUBLISHING 186
10.2.1.1 AI-driven content recommendation personalizing news feeds for better reader engagement 186
10.2.2 SOCIAL MEDIA 187
10.2.2.1 Employing AI for targeted advertising to analyze user data for better engagement 187
10.2.3 ADVERTISING & MARKETING AGENCIES 188
10.2.3.1 AI tools empowering ad agencies with predictive analytics to forecast trends and enhance campaign effectiveness 188
10.2.4 BROADCASTING & JOURNALISM 189
10.2.4.1 AI streamlining video production for faster, high-quality content 189
10.2.5 INDIVIDUAL USERS 190
10.2.5.1 Integrating AI into personal media consumption to enrich individual experiences and provide tailored interactions 190
10.3 ENTERTAINMENT 191
10.3.1 FILM STUDIOS 193
10.3.1.1 Leveraging AI to improve operational efficiency and create personalized viewing experiences 193
10.3.2 GAME DEVELOPMENT COMPANIES 194
10.3.2.1 Employing AI to create immersive experiences and enhance gameplay 194
10.3.3 TELEVISION & OTT PLATFORMS 195
10.3.3.1 Leveraging AI to transform content delivery and viewer engagement 195
10.3.4 LIVE EVENTS & SPORTS BROADCASTING 196
10.3.4.1 Integrating AI technologies for immersive and engaging experiences 196
10.3.5 THEME & AMUSEMENT PARKS 197
10.3.5.1 Leveraging AI to enhance guest experiences and streamline operations 197
10.3.6 MUSIC PRODUCTION 198
10.3.6.1 Utilizing AI algorithms to explore new creative avenues 198
10.3.7 INDIVIDUAL USERS 199
10.3.7.1 Implementing AI tools to create videos, captions, and scripts for broader audience engagement in real-time 199
 
11 AI IN MEDIA AND ENTERTAINMENT MARKET, BY REGION 200
11.1 INTRODUCTION 201
11.2 NORTH AMERICA 202
11.2.1 NORTH AMERICA: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS 203
11.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK 203
11.2.3 US 212
11.2.3.1 AI transforming media and entertainment with enhanced production efficiency 212
11.2.4 CANADA 213
11.2.4.1 Increasing focus on AI regulations and investments in media and entertainment 213
11.3 EUROPE 214
11.3.1 EUROPE: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS 214
11.3.2 EUROPE: MACROECONOMIC OUTLOOK 215
11.3.3 UK 223
11.3.3.1 Emerging generative AI firms transforming media and entertainment landscape 223
11.3.4 GERMANY 224
11.3.4.1 Fostering AI innovation through strategic collaborations in media sector 224
11.3.5 FRANCE 225
11.3.5.1 Enforcing stricter regulations on influencers to enhance transparency and consumer protection 225
11.3.6 ITALY 226
11.3.6.1 AI revolutionizing content personalization in media landscape 226
11.3.7 SPAIN 227
11.3.7.1 Harnessing AI to revolutionize storytelling and content creation 227
11.3.8 REST OF EUROPE 228
11.4 ASIA PACIFIC 229
11.4.1 ASIA PACIFIC: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS 229
11.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK 230
11.4.3 CHINA 239
11.4.3.1 AI revolutionizing media and entertainment 239
11.4.4 JAPAN 240
11.4.4.1 Strategic AI collaborations and regulatory frameworks in media and entertainment 240
11.4.5 INDIA 241
11.4.5.1 Harnessing AI for immersive media experiences 241
11.4.6 SOUTH KOREA 242
11.4.6.1 AI innovations enhancing fan engagement and production in entertainment industry 242
11.4.7 AUSTRALIA & NEW ZEALAND 243
11.4.7.1 Rise of AI technologies leading to innovative applications to create immersive experiences 243
11.4.8 ASEAN 244
11.4.8.1 Transforming media and entertainment through partnerships and AI innovations 244
11.4.9 REST OF ASIA PACIFIC 245
11.5 MIDDLE EAST & AFRICA 246
11.5.1 MIDDLE EAST & AFRICA: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS 247
11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK 247
11.5.3 MIDDLE EAST 256
11.5.3.1 KSA 257
11.5.3.1.1 AI revolution transforming media and entertainment landscape 257
11.5.3.2 UAE 258
11.5.3.2.1 Enhancing media experiences through global tech partnerships and AI 258
11.5.3.3 Bahrain 259
11.5.3.3.1 Fostering innovation through partnerships between local media firms and tech giants 259
11.5.3.4 Kuwait 260
11.5.3.4.1 Harnessing AI and emerging technologies for transformative media experiences 260
11.5.3.5 Rest of Middle East 261
11.5.4 AFRICA 262
11.5.4.1 Surge in startups focusing on AI solutions for video editing, scriptwriting, and audience segmentation 262
11.6 LATIN AMERICA 263
11.6.1 LATIN AMERICA: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS 263
11.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK 264
11.6.3 BRAZIL 272
11.6.3.1 Fostering AI innovation through strategic collaborations among research centers 272
11.6.4 MEXICO 273
11.6.4.1 Enhancing media with AI partnerships and cloud solutions 273
11.6.5 ARGENTINA 274
11.6.5.1 AI partnerships transforming entertainment sector 274
11.6.6 REST OF LATIN AMERICA 275
12 COMPETITIVE LANDSCAPE 276
12.1 OVERVIEW 276
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024 276
12.3 REVENUE ANALYSIS, 2019–2023 278
12.4 MARKET SHARE ANALYSIS, 2023 280
12.4.1 MARKET SHARE ANALYSIS OF KEY PLAYERS (MEDIA) 280
12.4.2 MARKET RANKING ANALYSIS (MEDIA), 2023 281
12.4.3 MARKET SHARE ANALYSIS OF KEY PLAYERS (ENTERTAINMENT) 282
12.4.4 MARKET RANKING ANALYSIS (ENTERTAINMENT) 283
12.5 PRODUCT COMPARISON, BY SOFTWARE TYPE 284
12.5.1 PRODUCT COMPARATIVE ANALYSIS, BY CONTENT GENERATION 285
12.5.1.1 Jasper AI 285
12.5.1.2 DeepBrain AI 285
12.5.1.3 Vimeo 285
12.5.2 PRODUCT COMPARATIVE ANALYSIS, BY AUDIENCE ANALYTICS 285
12.5.2.1 Tableau with Einstein Analytics (Salesforce) 285
12.5.2.2 Canvs AI 286
12.5.2.3 IBM Watsonx 286
12.5.3 PRODUCT COMPARATIVE ANALYSIS, BY WORKFLOW AUTOMATION 286
12.5.3.1 Film analytics tools (Cinelytic) 286
12.5.3.2 Frame.io (Adobe) 286
12.5.3.3 Otter.ai 287
12.6 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS 287
12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 288
12.7.1 COMPANY EVALUATION MATRIX: KEY PLAYERS (MEDIA) 288
12.7.1.1 Stars 288
12.7.1.2 Emerging leaders 288
12.7.1.3 Pervasive players 289
12.7.1.4 Participants 289
12.7.2 COMPANY EVALUATION MATRIX: KEY PLAYERS (ENTERTAINMENT) 290
12.7.2.1 Stars 290
12.7.2.2 Emerging leaders 290
12.7.2.3 Pervasive players 290
12.7.2.4 Participants 290
12.7.3 COMPANY FOOTPRINT: KEY PLAYERS 292
12.7.3.1 Company footprint 292
12.7.3.2 Region footprint 294
12.7.3.3 Software type footprint 295
12.7.3.4 Application footprint (Media) 296
12.7.3.5 Application footprint (Entertainment) 297
12.7.3.6 End user footprint (Media) 298
12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 299
12.8.1 COMPANY EVALUATION MATRIX: STARTUPS/SMES (MEDIA) 299
12.8.1.1 Progressive companies 299
12.8.1.2 Responsive companies 299
12.8.1.3 Dynamic companies 299
12.8.1.4 Starting blocks 299
 
12.8.2 COMPANY EVALUATION MATRIX: STARTUPS/SMES (ENTERTAINMENT) 300
12.8.2.1 Progressive companies 300
12.8.2.2 Responsive companies 301
12.8.2.3 Dynamic companies 301
12.8.2.4 Starting blocks 301
12.8.3 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023 302
12.8.3.1 Detailed list of key startups/SMEs 302
12.8.3.2 Competitive benchmarking of key startups/SMEs (Media) 304
12.8.3.3 Competitive benchmarking of key startups/SMEs (Entertainment) 305
12.9 COMPETITIVE SCENARIO 306
12.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS 306
12.9.2 DEALS 308
13 COMPANY PROFILES 310
13.1 INTRODUCTION 310
13.2 KEY PLAYERS 310
13.2.1 GOOGLE 310
13.2.1.1 Business overview 310
13.2.1.2 Products/Solutions/Services offered 312
13.2.1.3 Recent developments 313
13.2.1.3.1 Product launches and enhancements 313
13.2.1.3.2 Deals 314
13.2.1.4 MnM view 314
13.2.1.4.1 Key strengths 314
13.2.1.4.2 Strategic choices 315
13.2.1.4.3 Weaknesses and competitive threats 315
13.2.2 MICROSOFT 316
13.2.2.1 Business overview 316
13.2.2.2 Products/Solutions/Services offered 317
13.2.2.3 Recent developments 319
13.2.2.3.1 Product launches and enhancements 319
13.2.2.3.2 Deals 320
13.2.2.4 MnM view 321
13.2.2.4.1 Key strengths 321
13.2.2.4.2 Strategic choices 321
13.2.2.4.3 Weaknesses and competitive threats 321
13.2.3 IBM 322
13.2.3.1 Business overview 322
13.2.3.2 Products/Solutions/Services offered 323
13.2.3.3 Recent developments 324
13.2.3.3.1 Product launches and enhancements 324
 
13.2.3.4 MnM view 325
13.2.3.4.1 Key strengths 325
13.2.3.4.2 Strategic choices 325
13.2.3.4.3 Weaknesses and competitive threats 325
13.2.4 META 326
13.2.4.1 Business overview 326
13.2.4.2 Products/Solutions/Services offered 327
13.2.4.3 Recent developments 329
13.2.4.3.1 Product launches and enhancements 329
13.2.4.3.2 Deals 330
13.2.4.4 MnM view 331
13.2.4.4.1 Key strengths 331
13.2.4.4.2 Strategic choices 331
13.2.4.4.3 Weaknesses and competitive threats 331
13.2.5 OPENAI 332
13.2.5.1 Business overview 332
13.2.5.2 Products/Solutions/Services offered 333
13.2.5.3 Recent developments 334
13.2.5.3.1 Product launches and enhancements 334
13.2.5.3.2 Deals 335
13.2.5.4 MnM view 335
13.2.5.4.1 Key strengths 335
13.2.5.4.2 Strategic choices 335
13.2.5.4.3 Weaknesses and competitive threats 335
13.2.6 BAIDU 336
13.2.6.1 Business overview 336
13.2.6.2 Products/Solutions/Services offered 337
13.2.6.3 Recent developments 338
13.2.6.3.1 Product launches and enhancements 338
13.2.7 AWS 339
13.2.7.1 Business overview 339
13.2.7.2 Products/Solutions/Services offered 340
13.2.7.3 Recent developments 341
13.2.7.3.1 Product launches and enhancements 341
13.2.8 ADOBE 343
13.2.8.1 Business overview 343
13.2.8.2 Products/Solutions/Services offered 344
13.2.8.3 Recent developments 346
13.2.8.3.1 Product launches and enhancements 346
13.2.8.3.2 Deals 347
 
13.2.9 SPRINKLR 348
13.2.9.1 Business overview 348
13.2.9.2 Products/Solutions/Services offered 350
13.2.10 C3 AI 352
13.2.10.1 Business overview 352
13.2.10.2 Products/Solutions/Services offered 354
13.2.10.3 Recent developments 355
13.2.10.3.1 Deals 355
13.2.11 HOOTSUITE 356
13.2.12 VERITONE 357
13.2.13 TABOOLA 358
13.2.14 SPROUT SOCIAL 359
13.2.15 SYMPHONYAI 360
13.2.16 BRIGHTCOVE 361
13.2.17 UNITY 362
13.2.18 YELLOW.AI 363
13.2.19 APPIER 364
13.2.20 SNOWFLAKE 365
13.2.21 AUTODESK 366
13.2.22 VERBIT 367
13.2.23 UBISOFT 368
13.2.24 VIMEO 369
13.2.25 NVIDIA 370
13.2.26 SALESFORCE 371
13.2.27 AI-MEDIA 372
13.2.28 CANVA 373
13.3 STARTUPS/SMES 374
13.3.1 CINELYTIC 374
13.3.2 VAULT AI 375
13.3.3 STORYFIT 376
13.3.4 SCRIPTBOOK 376
13.3.5 SYNTHESIA 377
13.3.6 MURF AI 378
13.3.7 LUMEN5 379
13.3.8 JASPER 380
13.3.9 AIVA TECHNOLOGIES 381
13.3.10 DEEPMOTION 381
13.3.11 HYPERWRITE 382
13.3.12 CANVS AI 383
13.3.13 CAPTIONS 384
 
13.3.14 VEED.IO 385
13.3.15 KRIKEY 386
13.3.16 VISTA SOCIAL 387
13.3.17 BEATOVEN.AI 388
13.3.18 CONTAI.IO 388
13.3.19 LOOKA 389
14 ADJACENT AND RELATED MARKETS 390
14.1 INTRODUCTION 390
14.2 ARTIFICIAL INTELLIGENCE (AI) MARKET – GLOBAL FORECAST TO 2030 390
14.2.1 MARKET DEFINITION 390
14.2.2 MARKET OVERVIEW 390
14.2.2.1 Artificial intelligence market, by offering 391
14.2.2.2 Artificial intelligence market, by business function 392
14.2.2.3 Artificial intelligence market, by technology 393
14.2.2.4 Artificial intelligence market, by vertical 394
14.2.2.5 Artificial intelligence market, by region 396
14.3 AI IN SOCIAL MEDIA MARKET 397
14.3.1 MARKET DEFINITION 397
14.3.2 MARKET OVERVIEW 397
14.3.2.1 AI in social media market, by product type 397
14.3.2.2 AI in social media market, by deployment mode 398
14.3.2.3 AI in social media market, by use case 399
14.3.2.4 AI in social media market, by end user 400
14.3.2.5 AI in social media market, by region 401
15 APPENDIX 402
15.1 DISCUSSION GUIDE 402
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 409
15.3 CUSTOMIZATION OPTIONS 411
15.4 RELATED REPORTS 411
15.5 AUTHOR DETAILS 412