세계의 미디어용 AI 시장 예측(-2030년) : 소프트웨어 유형(컨텐츠 배포, 워크플로우 자동화(트랜스크립션, 메타데이터 태깅, 인덱스 작성), 시청자 분석), 기술, 용도별(영상 제작, 페이크 뉴스 탐지, 컨텐츠 모더레이션)
AI In Media Market by Software Type (Content Distribution, Workflow Automation (Transcription, Metadata Tagging, Indexing), Audience Analysis), Technology, Application (Video Production, Fake News Detection, Content Moderation) - Global Forecast to 2030
상품코드:1636634
리서치사:MarketsandMarkets
발행일:2025년 01월
페이지 정보:영문 413 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
미디어용 AI 시장 규모는 2024년 82억 1,000만 달러에서 예측 기간 중 35.6%의 CAGR로 추이하며, 2030년에는 510억 8,000만 달러 규모로 성장할 것으로 예측됩니다.
컨텐츠 생성은 창조성과 효율성을 높이는 능력에 의해 미디어용 AI 시장을 선도하는 태세를 갖추고 있습니다. 생성형 AI는 고품질 컨텐츠를 빠르게 생성하고 제작 시간과 비용을 크게 절감할 수 있습니다. 이 기술을 통해 영화 제작자와 컨텐츠 제작자는 단순한 작업을 자동화하고 창의적인 측면에 집중할 수 있습니다. 또한 시청자 개개인의 취향에 맞는 초개인화된 컨텐츠를 쉽게 제작할 수 있으며, 시청자 참여와 유지율을 높일 수 있습니다.
조사 범위
조사 대상연도
2019-2030년
기준연도
2023년
예측 기간
2024-2030년
검토 단위
달러(달러)
부문
제공·기술·용도·최종사용자·지역
대상 지역
북미·유럽·아시아태평양·중동 & 아프리카·라틴아메리카
"엔터테인먼트 용도별로는 시청자의 선호도 예측 분야가 예측 기간 중 시장을 선도할 전망"
시청자 선호도 예측은 컨텐츠 개인화 및 사용자 참여에 혁신적인 영향을 미치기 때문에 이 분야가 시장을 주도할 것으로 예상됩니다. 기업은 고도화된 알고리즘을 활용하여 시청 기록과 인구통계학적 정보를 포함한 방대한 데이터세트를 분석하여 맞춤형 추천을 제공할 수 있습니다. 이러한 개인화 수준은 사용자 만족도를 높일 뿐만 아니라, 시청자가 자신의 관심사에 공감하는 컨텐츠에 참여할 가능성이 높아지기 때문에 시청자 유지율도 높아집니다.
"지역별로는 아시아태평양이 예측 기간 중 가장 높은 CAGR을 나타낼 것으로 예상"
인도, 베트남 등 신흥 국가에서 인터넷의 급속한 확산으로 온라인 미디어 소비가 크게 증가하면서 AI 기반 솔루션에 대한 수요가 증가하고 있으며, OTT 스트리밍 플랫폼의 인기가 높아짐에 따라 AI 기술을 활용한 개인화된 컨텐츠의 제공에 점점 더 중점을 두고 시청 습관을 재편하고 있습니다. 알리바바와 넷플릭스와 같은 주요 기업은 컨텐츠 제작, 관리 및 배포를 강화하기 위해 AI에 많은 투자를 하고 있으며, 이는 지속적인 혁신을 촉진하고 있습니다.
세계의 미디어용 AI 시장을 조사했으며, 시장 개요, 시장 성장에 대한 각종 영향요인 분석, 기술·특허의 동향, 법규제 환경, 사례 연구, 시장 규모 추이·예측, 각종 구분·지역별 상세 분석, 경쟁 환경, 주요 기업의 개요 등을 정리하여 전해드립니다.
목차
제1장 서론
제2장 조사 방법
제3장 개요
제4장 주요 인사이트
제5장 시장 개요
시장 역학
촉진요인
억제요인
기회
과제
제6장 업계의 동향
미디어 & 엔터테인먼트 시장에서 AI의 진화
사례 연구 분석
에코시스템 분석
기술 분석
규제 상황
공급망 분석
Porter's Five Forces 분석
2024-2025년의 주요 컨퍼런스와 이벤트
주요 이해관계자와 구입 기준
가격 분석
특허 분석
고객 사업에 영향을 미치는 동향/파괴적 변화
투자와 자금조달 시나리오
생성형 AI가 미디어 & 엔터테인먼트용 AI 시장에 미치는 영향
제7장 미디어 & 엔터테인먼트용 AI 시장 : 제공별
소프트웨어
소프트웨어 유형별
도입 모드별
서비스
전문 서비스
매니지드 서비스
제8장 미디어 & 엔터테인먼트용 AI 시장 : 기술별
생성형 AI
기타 AI
제9장 미디어 & 엔터테인먼트용 AI 시장 : 용도별
미디어
기사 집필·요약
영상 제작
페이크 뉴스 탐지
언어 모더레이션
광고 안전성 최적화
뉴스룸 분석
엔터테인먼트
영화 각본·VFX·스토리보딩
실시간 OTT 컨텐츠 모더레이션
시청자 선호도 예측
포스트프로덕션 워크플로우 편집
NPC 행동 모델링
게임 컨텐츠 최적화
몰입형 엔터테인먼트
제10장 미디어 & 엔터테인먼트용 AI 시장 : 최종사용자별
미디어
뉴스·출판
소셜미디어
광고·마케팅 대리점
방송·저널리즘
개인 사용자
엔터테인먼트
영화 스튜디오
게임 개발 회사
TV·OTT 플랫폼
라이브 이벤트·스포츠 방송
테마파크 & 놀이공원
음악 제작
개인 사용자
제11장 미디어 & 엔터테인먼트용 AI 시장 : 지역별
북미
시장 성장 촉진요인
거시경제 전망
미국
캐나다
유럽
시장 성장 촉진요인
거시경제 전망
영국
독일
프랑스
이탈리아
스페인
기타
아시아태평양
시장 성장 촉진요인
거시경제 전망
중국
일본
인도
한국
호주와 뉴질랜드
ASEAN
기타
중동 및 아프리카
시장 성장 촉진요인
거시경제 전망
중동
아프리카
라틴아메리카
시장 성장 촉진요인
거시경제 전망
브라질
멕시코
아르헨티나
기타
제12장 경쟁 구도
개요
주요 참여 기업의 전략/강점
매출 분석
시장 점유율 분석
소프트웨어 유형별 제품 비교
주요 벤더의 기업 평가와 재무 지표
기업 평가 매트릭스 : 주요 기업
기업 평가 매트릭스 : 스타트업/중소기업
경쟁 시나리오
제13장 기업 개요
주요 기업
GOOGLE
MICROSOFT
IBM
META
OPENAI
BAIDU
AWS
ADOBE
SPRINKLR
C3 AI
HOOTSUITE
VERITONE
TABOOLA
SPROUT SOCIAL
SYMPHONYAI
BRIGHTCOVE
UNITY
YELLOW.AI
APPIER
SNOWFLAKE
AUTODESK
VERBIT
UBISOFT
VIMEO
NVIDIA
SALESFORCE
AI-MEDIA
CANVA
스타트업 /SME
CINELYTIC
VAULT AI
STORYFIT
SCRIPTBOOK
SYNTHESIA
MURF AI
LUMEN5
JASPER
AIVA TECHNOLOGIES
DEEPMOTION
HYPERWRITE
CANVS AI
CAPTIONS
VEED.IO
KRIKEY
VISTA SOCIAL
BEATOVEN.AI
CONTAI.IO
LOOKA
제14장 인접 시장과 관련 시장
제15장 부록
KSA
영문 목차
영문목차
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.
Scope of the Report
Years Considered for the Study
2019-2030
Base Year
2023
Forecast Period
2024-2030
Units Considered
USD (Billion)
Segments
Offering, Technology, Application, End user, and Region
Regions covered
North America, Europe, Asia Pacific, Middle East & Africa, Latin America
"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.
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
1.3.2 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key industry insights
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 RISK ASSESSMENT
2.7 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN MEDIA AND ENTERTAINMENT MARKET
4.2 AI IN MEDIA AND ENTERTAINMENT MARKET, BY TOP 3 MEDIA APPLICATIONS
4.3 AI IN MEDIA AND ENTERTAINMENT MARKET, BY TOP 3 ENTERTAINMENT APPLICATIONS
4.4 NORTH AMERICA: AI IN MEDIA AND ENTERTAINMENT MARKET, BY DEPLOYMENT MODE AND END USER
4.5 AI IN MEDIA AND ENTERTAINMENT MARKET, BY REGION
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 New creative possibilities unlocked by generative AI
5.2.1.2 Hyper-personalized media experiences with AI
5.2.1.3 Increasing integration of AI into animation and visual effects sectors
5.2.2 RESTRAINTS
5.2.2.1 Ethical and copyright issues in AI-generated content
5.2.2.2 Inadequate legal protection against deepfake misuse
5.2.3 OPPORTUNITIES
5.2.3.1 Enhancing credibility through AI-driven fake news detection
5.2.3.2 Personalized advertising through AI-driven user insights
5.2.3.3 Dynamic storytelling through tailored narratives
5.2.4 CHALLENGES
5.2.4.1 AI threat to jobs in entertainment industry
5.2.4.2 Lack of transparency hindering trust in AI decisions
5.2.4.3 Impact of AI on creativity and originality
6 INDUSTRY TRENDS
6.1 EVOLUTION OF AI IN MEDIA AND ENTERTAINMENT MARKET
6.2 CASE STUDY ANALYSIS
6.2.1 SPRINKLR EMPOWERS HYPERSPACE TO ENHANCE AUDIENCE ENGAGEMENT AND STREAMLINE OPERATIONS
6.2.2 SUCCESS OF DRAFTKINGS THROUGH MULTICHANNEL ADVERTISING STRATEGY WITH VERITONE
6.2.3 REVEDIA PLATFORM STREAMLINED MANUAL WORKFLOWS INTO UNIFIED SYSTEM AND IMPROVED OPERATIONAL EFFICIENCY
6.2.4 WARNER MUSIC GROUP LEVERAGES SNOWFLAKE AND HIGHTOUCH TO 'SUPER-SERVE' FANS, ARTISTS, AND LABELS
6.2.5 ELEVATING SOCIAL MEDIA ENGAGEMENT: DNV'S TRANSFORMATION WITH LUMEN5
6.3 ECOSYSTEM ANALYSIS
6.3.1 CONTENT GENERATION PROVIDERS
6.3.2 CONTENT DISTRIBUTION PROVIDERS
6.3.3 AUDIENCE ANALYTICS PROVIDERS
6.3.4 WORKFLOW AUTOMATION PROVIDERS
6.3.5 OTHER AI TOOL PROVIDERS
6.3.6 END USERS
6.4 TECHNOLOGY ANALYSIS
6.4.1 KEY TECHNOLOGIES
6.4.1.1 NLP and deep learning
6.4.1.2 Computer vision
6.4.1.3 Predictive analytics
6.4.1.4 Robotic process automation (RPA)
6.4.2 COMPLEMENTARY TECHNOLOGIES
6.4.2.1 Cloud computing
6.4.2.2 Edge computing
6.4.2.3 IoT
6.4.2.4 Big data analytics
6.4.2.5 Blockchain
6.4.3 ADJACENT TECHNOLOGIES
6.4.3.1 5G
6.4.3.2 Digital twin
6.4.3.3 AR/VR
6.4.3.4 Quantum computing
6.5 REGULATORY LANDSCAPE
6.5.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
6.5.2 REGULATORY FRAMEWORK
6.5.2.1 North America
6.5.2.1.1 US
6.5.2.1.2 Canada
6.5.2.2 Europe
6.5.2.2.1 Germany
6.5.2.2.2 UK
6.5.2.2.3 France
6.5.2.3 Asia Pacific
6.5.2.3.1 China
6.5.2.3.2 South Korea
6.5.2.3.3 Singapore
6.5.2.4 Middle East & Africa
6.5.2.4.1 UAE
6.5.2.4.2 Saudi Arabia
6.5.2.4.3 Kenya
6.5.2.5 Latin America
6.5.2.5.1 Brazil
6.5.2.5.2 Mexico
6.5.2.5.3 Argentina
6.6 SUPPLY CHAIN ANALYSIS
6.7 PORTER'S FIVE FORCES ANALYSIS
6.7.1 THREAT OF NEW ENTRANTS
6.7.2 THREAT OF SUBSTITUTES
6.7.3 BARGAINING POWER OF SUPPLIERS
6.7.4 BARGAINING POWER OF BUYERS
6.7.5 INTENSITY OF COMPETITIVE RIVALRY
6.8 KEY CONFERENCES AND EVENTS, 2024-2025
6.9 KEY STAKEHOLDERS AND BUYING CRITERIA
6.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
6.9.2 BUYING CRITERIA
6.10 PRICING ANALYSIS
6.10.1 INDICATIVE PRICING ANALYSIS, BY SOFTWARE TYPE
6.10.2 INDICATIVE PRICING ANALYSIS, BY APPLICATION
6.11 PATENT ANALYSIS
6.11.1 METHODOLOGY
6.11.2 PATENTS FILED, BY DOCUMENT TYPE
6.11.3 INNOVATIONS AND PATENT APPLICATIONS
6.12 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
6.13 INVESTMENT AND FUNDING SCENARIO
6.14 IMPACT OF GENERATIVE AI ON AI IN MEDIA AND ENTERTAINMENT MARKET
6.14.1 USE CASES AND MARKET POTENTIAL
6.14.2 KEY USE CASES
6.14.2.1 Enhanced content creation
6.14.2.2 Personalization of user experience
6.14.2.3 Cost reduction in production
6.14.2.4 Improved audience engagement
6.14.2.5 Streamlined content distribution
6.14.2.6 New monetization opportunities
7 AI IN MEDIA AND ENTERTAINMENT MARKET, BY OFFERING
7.1 INTRODUCTION
7.1.1 OFFERING: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS
7.2 SOFTWARE
7.2.1 SOFTWARE TYPE
7.2.1.1 Content generation
7.2.1.1.1 Text
7.2.1.1.1.1 Revolutionizing media with AI-driven text content generation
7.2.1.1.2 Image
7.2.1.1.2.1 Automating visual creativity with generative AI
7.2.1.1.3 Audio
7.2.1.1.3.1 Empowering music creation with text-to-audio tools
7.2.1.1.4 Video
7.2.1.1.4.1 Revolutionizing video production through AI automation
7.2.1.1.5 Multimodal
7.2.1.1.5.1 Personalizing media experiences with user interaction insights
7.2.1.2 Content distribution
7.2.1.2.1 Ad targeting
7.2.1.2.1.1 Maximizing impact with intelligent AI-powered ad-targeting solutions
7.2.1.2.2 Personalized recommendations
7.2.1.2.2.1 Enhancing user engagement through personalized content recommendations
7.2.1.3 Audience analytics
7.2.1.3.1 Sentiment analysis
7.2.1.3.1.1 Leveraging sentiment analysis to understand audience reactions in media and entertainment
7.2.1.3.2 Behavior modeling
7.2.1.3.2.1 Enhancing content delivery and marketing strategies through AI-driven behavior modeling
7.2.1.3.3 Customer segmentation
7.2.1.3.3.1 Optimizing resources with AI-driven customer segmentation
7.2.1.3.4 Music recommendation and discovery
7.2.1.3.4.1 Elevating engagement and satisfaction with adaptive music recommendations
7.2.1.4 Workflow automation
7.2.1.4.1 Transcription
7.2.1.4.1.1 Revolutionizing live broadcasts with AI-driven transcription services
7.2.1.4.2 Metadata tagging
7.2.1.4.2.1 Enhancing content management through automated metadata tagging with AI
7.2.1.4.3 Indexing
7.2.1.4.3.1 Enhancing discoverability with AI solutions for efficient digital asset indexing
7.2.1.4.4 Translation and localization
7.2.1.4.4.1 Leveraging AI for effective localization in media
7.2.1.5 Other software types
7.2.2 DEPLOYMENT MODE
7.2.2.1 Cloud
7.2.2.1.1 Unlocking scalability and cost efficiency in media with cloud infrastructure
7.2.2.2 On-premises
7.2.2.2.1 Maximizing security and cost efficiency with on-premises AI solutions in media
7.3 SERVICES
7.3.1 PROFESSIONAL SERVICES
7.3.1.1 Harnessing AI to transform media and entertainment business models
7.3.1.2 Consulting & Advisory
7.3.1.3 Implementation & deployment
7.3.1.4 Support & maintenance
7.3.1.5 Training & enablement
7.3.2 MANAGED SERVICES
7.3.2.1 Optimizing advertising strategies with AI-driven managed services
8 AI IN MEDIA AND ENTERTAINMENT, BY TECHNOLOGY
8.1 INTRODUCTION
8.2 GENERATIVE AI
8.2.1 REVOLUTIONIZING CONTENT CREATION AND PERSONALIZATION WITH GENERATIVE AI
8.3 OTHER AI
8.3.1 UNLOCKING CREATIVITY: AI TRANSFORMS CONTENT CREATION AND USER ENGAGEMENT
9 AI IN MEDIA AND ENTERTAINMENT MARKET, BY APPLICATION
9.1 INTRODUCTION
9.1.1 APPLICATION: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS
9.2 MEDIA
9.2.1 ARTICLE WRITING & SUMMARIZING
9.2.1.1 Content personalization
9.2.1.1.1 Enhancing user experience with content personalization
9.2.1.2 Multilingual translation
9.2.1.2.1 Breaking language barriers through multilingual translation
9.2.1.3 Topic clustering and categorization
9.2.1.3.1 Streamlining insights with topic clustering and categorization
9.2.1.4 Others
9.2.2 VIDEO PRODUCTION
9.2.2.1 AI-based scene detection and sequencing
9.2.2.1.1 Unlocking precision: AI-powered scene detection and sequencing
9.2.2.2 Virtual production
9.2.2.2.1 Revolutionizing filmmaking: Virtual production technologies
9.2.2.3 Motion tracking and enhancement
9.2.2.3.1 Elevating performance: Advanced motion tracking and enhancement
9.2.2.4 Others
9.2.3 FAKE NEWS DETECTION
9.2.3.1 Context-based credibility scoring
9.2.3.1.1 Enhancing trustworthiness with context-aware scoring systems
9.2.3.2 Deepfake identification
9.2.3.2.1 Detecting and mitigating deepfake content for secure interactions
9.2.3.3 Automated data cross-referencing
9.2.3.3.1 Streamlining data validation through automation
9.2.3.4 Others
9.2.4 LANGUAGE MODERATION
9.2.4.1 Cultural sensitivity identification
9.2.4.1.1 Fostering respect through cultural sensitivity detection
9.2.4.2 Adaptive filtering
9.2.4.2.1 Dynamic content moderation with adaptive filtering
9.2.4.3 Profanity detection
9.2.4.3.1 Ensuring respectful communication with profanity detection
9.2.4.4 Others
9.2.5 AD SAFETY OPTIMIZATION
9.2.5.1 Behavioral pattern analysis
9.2.5.1.1 Enhancing security through user behavior insights
9.2.5.2 AI-driven ad placement
9.2.5.2.1 Maximizing engagement with intelligent ad targeting
9.2.5.3 Automated flagging
9.2.5.3.1 Swift identification and mitigation of harmful content
9.2.5.4 Others
9.2.6 NEWSROOM ANALYTICS
9.2.6.1 Predictive analytics for breaking news trends
9.2.6.1.1 Harnessing predictive analytics to anticipate breaking news trends
9.2.6.2 Editorial planning and content scheduling
9.2.6.2.1 Optimizing editorial planning and content scheduling for maximum impact
9.2.6.3 Competitive media benchmarking
9.2.6.3.1 Leveraging competitive media benchmarking to enhance performance
9.2.6.4 Others
9.3 ENTERTAINMENT
9.3.1 FILM SCRIPTWRITING, VFX, & STORYBOARDING
9.3.1.1 Dialogue and character development
9.3.1.1.1 Voices of conflict: Crafting dialogue to reveal character
9.3.1.2 Pre-visualization of scenes
9.3.1.2.1 Visualizing scenes enhances storytelling and guides in effective production design
9.3.1.3 Intelligent adaption of scripts
9.3.1.3.1 Adapting scripts intelligently ensures relevance while preserving original narrative essence
9.3.1.4 Others
9.3.2 REAL-TIME OTT CONTENT MODERATION
9.3.2.1 Context-based regional content filtering
9.3.2.1.1 Tailoring content delivery based on geographic location
9.3.2.2 Prohibited or inappropriate live content detection
9.3.2.2.1 Real-time monitoring for inappropriate content during live streams
9.3.2.3 Viewer comments analysis
9.3.2.3.1 Analyzing viewer feedback to enhance content engagement strategies
9.3.2.4 Others
9.3.3 PREDICTING VIEWER PREFERENCES
9.3.3.1 Contextual analysis
9.3.3.1.1 Understanding viewer preferences through contextual insights
9.3.3.2 Viewer behavior prediction
9.3.3.2.1 Forecasting audience engagement and content choices
9.3.3.3 Clustering viewers
9.3.3.3.1 Segmenting audiences for tailored recommendations
9.3.3.4 Others
9.3.4 POST-PRODUCTION WORKFLOW EDITING
9.3.4.1 Automated lip-syncing and dubbing
9.3.4.1.1 Seamless voice synchronization for global audiences
