AI in Media Market Size, Share and Global Forecast to 2030

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

USD 51.08 BN

MARKET SIZE, 2030

CAGR 35.6%

(2025-2030)

412

REPORT PAGES

353

MARKET TABLES

OVERVIEW

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The AI in media market size is projected to grow from USD 8.21 billion in 2024 to USD 51.08 billion by 2030, at a CAGR of 35.6% during the forecast period. As the media industry evolves, embracing advanced technologies such as AI becomes pivotal in revolutionizing processes and delivering impactful outcomes. AI and its sub-technologies are rapidly integrated across content creation, distribution, and consumption platforms, including personalized streaming services, automated editing tools, and dynamic ad placements. The ultimate objective is optimizing content strategies to cater to diverse audiences, creating hyper-personalized media experiences that captivate and retain viewers.

KEY TAKEAWAYS

North America dominates the AI in Media market by 36.1% share in 2024.
By offering, the audience analytics segment is expected to be the fastest growing segment, with CAGR of 36.6% during the forecast period.
By technology, the Generative AI segment would dominate the market with 49.1% share in 2024.
By application, the fake news detection segment is projected to register as the fastest growing segment, during the forecast period.
By end user, the news & publishing agencies segment is expected to dominate the market.
Microsoft, Google and IBM are identified as some of the star players in the AI in Media market, given their strong market share and product footprint.
Looka, Copy.ai and Synthesia, among others, have distinguished themselves among startups and SMEs by securing strong footholds in specialized niche areas, underscoring their potential as emerging leaders.

AI's integration into the media industry is significantly enhancing user engagement through personalized content recommendations. According to IBM, AI analyzes user data such as browsing history and social media interactions to suggest products and content tailored to individual preferences, which is crucial for platforms like Netflix and Amazon. Additionally, Leeway Hertz highlights that AI technologies enhance audience insights, allowing companies like Netflix to tailor content based on viewing data, thus improving engagement. This shift towards hyper-personalized media experiences is reshaping how users interact with content across various platforms.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

The impact on media organizations stems from evolving content consumption trends and the increasing demand for real-time audience insights. Core areas such as streaming services, news platforms, social media, and digital advertising are primary adopters of AI-driven analytics, with key applications including personalized content recommendations, audience engagement optimization, real-time sentiment analysis, and automated content moderation. Advances in AI capabilities, data processing, and predictive modeling directly enhance content relevance, user experience, and decision-making. This drives investment in AI technologies, improves responsiveness to audience behavior, and boosts overall platform performance, ultimately accelerating growth in the AI in media market.

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers

Impact
Level

Hyper-personalized media experiences with AI
AI revolutionizing animation and visual effects in entertainment

RESTRAINTS

Impact
Level

Ethical and copyright issues in AI-generated content
Inadequate legal protections against deepfake misuse

OPPORTUNITIES

Impact
Level

Enhancing credibility through AI-driven fake news detection
Personalized advertising through AI-driven user insights

CHALLENGES

Impact
Level

AI tools threaten jobs in entertainment industry

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Hyper-personalized media experiences with AI

AI is emerging as a transformative driver in the media and entertainment market by enabling hyper-personalized storytelling and immersive content experiences. Integration into VFX, CGI, and post-production workflows enhances visual realism, while predictive personalization ensures content is precisely tailored to audience preferences. Leading platforms such as Weta Digital and Industrial Light & Magic showcase how AI delivers lifelike avatars and advanced post-production efficiency. Recommendation engines further optimize viewer engagement and monetization. For buyers, the value lies in higher audience retention, differentiated experiences, and precision-driven revenue growth through targeted advertising and content delivery.

Restraint: Inadequate legal protections against deepfake misuse

The media and entertainment market faces a significant restraint due to inadequate legal protections against deepfake and manipulated media. Weak regulatory frameworks and lagging privacy laws expose enterprises to risks of reputation loss, defamation, identity theft, and intellectual property misuse. This absence of standardized legal measures complicates dispute resolution and drives up compliance and content protection costs. Vendors are further challenged by fragmented regulations across jurisdictions, creating operational inefficiencies. For buyers, these gaps reduce trust in AI-enabled solutions, elevate liability concerns, and create barriers to secure, large-scale adoption of AI technologies.

Opportunity: Enhancing credibility through AI-driven fake news detection

AI-driven tools for detecting and neutralizing deepfakes present a strong opportunity within the media and entertainment market. Advanced AI models can authenticate content, monitor millions of streams in real time, and streamline fact-checking workflows, thereby reducing risks of misinformation and manipulation. Buyers benefit from strengthened brand credibility, enhanced audience trust, and improved regulatory compliance. For solution providers, this creates avenues to market compliance-ready, premium platforms positioned as trust-enhancing differentiators. By combining personalization with credibility safeguards, AI allows media enterprises to protect reputations, create new monetization channels, and sustain competitive advantages in a crowded digital ecosystem.

Challenge: AI tools threaten jobs in entertainment industry

A core challenge in the media and entertainment market is balancing AI-driven innovation with rising ethical and regulatory demands. While adoption accelerates personalization, creative growth, and operational efficiency, it simultaneously raises issues around privacy, algorithmic bias, and transparency. Content producers must align innovation with compliance and ethical standards, ensuring audience trust is preserved. Vendors are expected to deliver transparent, explainable AI systems that address both performance and accountability requirements. For buyers, the challenge is sustaining growth and innovation while avoiding reputational risks or regulatory setbacks, making governance a critical dimension of AI deployment strategies.

AI in media market: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY	USE CASE DESCRIPTION	BENEFITS
	Sprinklr empowers HyperSpace to achieve growth in social media Interaction	The implementation of Sprinklr led to a remarkable 642% increase in social post engagement within just 30 days, significantly boosting audience interaction and brand visibility.
	Veritone empowers DraftKings to optimize media buying and expand market presence	Utilizing Veritone's AI solutions and the VCAP analytics tool, DraftKings gained 100% visibility into campaign performance across various metrics, enabling data-driven decisions and maximizing return on ad spend.
	SymphonyAI drives efficiency in The Weather Channel's revenue operations	Revedia provides centralized control over signal management across nearly 4,000 active IRDs, facilitating remote authorization and deauthorization of signals, which enhances operational flexibility and responsiveness.
	Warner Music Group and Snowflake empower real-time decision-making in the music Sector	Warner Music Group can access and analyze vast amounts of data seamlessly, enabling better decision-making and collaboration, which supports targeted marketing efforts by leveraging data to reach specific audience segments effectively.

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET ECOSYSTEM

The AI in media market ecosystem comprises a diverse range of stakeholders. Key players include content generation providers, content distribution providers, audience analytics providers, workflow automation providers, and others (scriptwriting, post-production tools, security & compliance, engagement platform providers). These entities collaborate to develop, deliver, and utilize AI-based education tools, driving innovation and growth in the market.

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET SEGMENTS

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

AI in Media Market, By Software

Audience analytics software is witnessing the fastest growth in the AI in media market, driven by the growing emphasis on hyper-personalized content and viewer insights. These solutions utilize advanced AI techniques such as machine learning, predictive analytics, and sentiment analysis to evaluate audience behavior, preferences, and engagement patterns across digital platforms. Media enterprises leverage these insights to tailor programming, advertising, and distribution strategies, maximizing viewer retention and monetization. The rise in streaming consumption and real-time audience measurement is driving the greater adoption of AI-powered audience analytics tools across broadcasters, OTT platforms, and digital media companies.

AI in Media Market, By Deployment Mode

The on-premises deployment segment is registering the fastest growth in the AI in media market due to rising concerns over data privacy, content ownership, and regulatory compliance. Media enterprises, especially large studios and broadcasters, prefer on-premises AI solutions to maintain control over proprietary content, user data, and production workflows. These systems enable low-latency processing for real-time video analytics, content tagging, and recommendation systems, ensuring data security and consistent performance. The increasing use of high-resolution content and the integration of AI with local production infrastructure further strengthen the adoption of on-premises AI deployment among enterprises seeking enhanced security and performance reliability.

AI in Media Market, By Media Application

Fake news detection is experiencing the fastest growth among AI applications in the media segment, driven by escalating misinformation across digital platforms and social media. AI-powered tools leverage natural language processing (NLP), deep learning, and knowledge graphs to identify manipulated or misleading content in real time. Media organizations and news aggregators increasingly deploy these systems to verify sources, detect bias, and maintain credibility. The growing demand for trustworthy journalism and content authenticity amid increasing online disinformation propels the adoption of AI-driven fake news detection solutions, enhancing transparency and protecting brand integrity across digital media ecosystems.

AI in Media Market, By Entertainment End User

Television and OTT platforms are witnessing the fastest growth in AI adoption within the entertainment segment, fueled by the demand for personalized viewing experiences and data-driven content strategies. AI algorithms enable dynamic content recommendations, automated metadata tagging, and predictive viewership analysis, optimizing programming and ad placement. OTT providers use AI for adaptive streaming, audience segmentation, and churn prediction, while broadcasters leverage it for scheduling, editing, and targeted advertising. The convergence of generative AI, recommendation engines, and audience analytics transforms television and OTT operations, enhancing engagement, monetization, and operational efficiency in the rapidly evolving entertainment ecosystem.

REGION

Asia Pacific to be the fastest-growing region in the AI in media market during the forecast period

The Asia Pacific region is witnessing the highest CAGR in the AI in media market, driven by several factors. Increasing use of AI for automated content moderation and compliance management is significantly expanding online media consumption, fueling demand for AI-driven solutions. The rising popularity of OTT platforms is reshaping viewing habits, emphasizing personalized content powered by AI technologies. With its robust AI ecosystem, China is a key player, while India is experiencing rapid growth in AI adoption. Companies like Alibaba and Netflix are investing substantially in AI to enhance content creation, management, and distribution. Japan and South Korea also leverage AI in media to create immersive experiences. The region's cultural diversity supports various entertainment offerings, appealing to varied demographics and expanding audience reach. This collective momentum positions the Asia Pacific region as a dynamic and rapidly evolving hub within the AI in media market.

AI in media market: COMPANY EVALUATION MATRIX

In the AI in media market matrix, Microsoft (Star) leads with a strong market presence and a comprehensive suite of AI-driven media capabilities, enabling large-scale adoption in areas such as intelligent content creation, automated dubbing and subtitling, advanced audience targeting, and immersive media experiences. Vimeo (Emerging Leader) is gaining traction with its AI-powered video editing, adaptive streaming, and creator-focused monetization tools, helping media enterprises deliver personalized and engaging content in real time. While Microsoft dominates with scale, innovation, and enterprise-wide integration, Vimeo demonstrates strong growth potential, steadily advancing toward the star quadrant.

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

MARKET SCOPE

REPORT METRIC	DETAILS
Market Size in 2023 (Value)	USD 5.55 Billion
Market Forecast in 2030 (Value)	USD 51.08 Billion
Growth Rate	CAGR of 35.6% from 2025 to 2030
Years Considered	2019–2030
Base Year	2023
Forecast Period	2024–2030
Units Considered	Value (USD Million/Billion)
Report Coverage	Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Segments Covered	By Offering - Software Services Software - Content Generation Content Distribution Audience Analytics Workflow Automation Other Software Types Services - Professional Managed services Deployment Mode - Cloud On-Premises Technology - Generative AI Other AI Application - Media (Article Writing & Summarizing Video Production Fake News Detection Language Moderation Ad Safety Optimization Newsroom Analytics) Entertainment (Film scriptwriting, VFX & storyboarding Real-time ott content moderation Predicting viewer preferences Post-production workflow editing NPC behavior modeling Gaming content optimization Immersive entertainment) End User - Media (News & publishing Social media Advertising & marketing agencies Broadcasting & journalism Individual Users) Entertainment (Film studios Game development companies Television & OTT platforms Live events & sports broadcasting Theme & amusement parks Music production Individual users )
Regions Covered	North America, Asia Pacific, Europe, the Middle East & Africa, and Latin America

WHAT IS IN IT FOR YOU: AI in media market REPORT CONTENT GUIDE

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST	CUSTOMIZATION DELIVERED	VALUE ADDS
Leading Solution Provider (US)	Competitive profiling of additional vendors Brand Comparative Analysis Complete Drill-Down of Additional Countries by Segmentation	Competitive Positioning Insights Product Differentiation Overview In-depth Market Insights Across Multiple Countries and Segments
Leading Solution Provider (Europe)	Competitive profiling of additional vendors Brand Comparative Analysis Complete Drill-Down of Additional Countries by Segmentation	Competitive Positioning Insights Product Differentiation Overview In-depth Market Insights Across Multiple Countries and Segments

RECENT DEVELOPMENTS

February 2025 : Mediapro and Google Cloud are expanding their partnership to develop innovative, media-focused GenAI solutions. The collaboration, revealed at ISE 2025, includes establishing a creativity lab to build specialized platforms for image and video generation. Mediapro aims to develop generative video and image creation solutions and personalized assistants for the media industry using Google Cloud's AI technology. They will also explore Gemini models for personalized AI assistance and multimodal capabilities for content tagging and intelligent archiving to enhance content value.
February 2025 : OpenAI and Guardian Media Group launched a content partnership to integrate Guardian journalism into OpenAI's platforms, enhancing AI-generated responses with credible, high-quality news. This collaboration ensures users access reliable information while supporting the Guardian's journalism through potential revenue opportunities. The partnership emphasizes ethical AI use, transparency, and respect for intellectual property, aiming to bridge the gap between AI technology and trusted news sources. It reflects a shared commitment to fostering informed public discourse in the digital age.
February 2025 : Baidu acquired JOYY's live streaming business in China to bolster its cloud and AI capabilities. This acquisition enhances Baidu’s presence in the live streaming market, aligning with its mission to simplify the world through technology. This strategic move aims to leverage live streaming to integrate AI and cloud services further, improving user engagement and expanding Baidu's digital ecosystem.
January 2025 : Banijay Entertainment partnered with BASE and AWS to drive innovation in the creative industry. This collaboration aims to leverage cutting-edge cloud and AI technologies to enhance content production, distribution, and audience engagement. By integrating AWS's advanced infrastructure and BASE's expertise in media solutions, Banijay seeks to streamline workflows, improve efficiency, and unlock new creative possibilities. The partnership underscores a commitment to embracing digital transformation, fostering collaboration, and delivering high-quality entertainment experiences. Together, they aim to set new standards in the industry, empowering creators and meeting evolving audience demands in a rapidly changing media landscape.
January 2025 : Dentsu partnered with Adobe to launch Adobe GenStudio Dentsu Plus, a solution designed to enhance personalized marketing and content creation. This collaboration integrates Adobe's GenStudio platform with Dentsu's expertise in data-driven marketing, enabling brands to deliver tailored, real-time content at scale. The tool leverages AI and automation to streamline workflows, improve efficiency, and drive customer engagement. Combining Adobe's cutting-edge technology with Dentsu's strategic insights, the partnership aims to empower marketers to create more impactful, data-informed campaigns, fostering innovation and delivering superior customer experiences in the evolving digital landscape.

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE

PAGE NO

INTRODUCTION

RESEARCH METHODOLOGY

EXECUTIVE SUMMARY

PREMIUM INSIGHTS

MARKET OVERVIEW

Generative AI is revolutionizing media with hyper-personalization, yet ethical and job market challenges loom.

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

INDUSTRY TRENDS

AI-driven innovations redefine media engagement and efficiency with cutting-edge analytics and automation.

6.1

EVOLUTION OF AI IN MEDIA AND ENTERTAINMENT MARKET

6.2

CASE STUDY ANALYSIS

6.2.1

SPRINKLR EMPOWERED HYPERSPACE TO ENHANCE AUDIENCE ENGAGEMENT AND STREAMLINE OPERATIONS

6.2.2

DRAFTKINGS IMPLEMENTED 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 LEVERAGED SNOWFLAKE AND HIGHTOUCH TO 'SUPER-SERVE' FANS, ARTISTS, AND LABELS

6.2.5

DNV GL ELEVATED SOCIAL MEDIA ENGAGEMENT THROUGH TRANSFORMATION WITH LUMEN5

6.3

ECOSYSTEM

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

SCRIPTWRITING, POST – PRODUCTION TOOLS, SECURITY & COMPLIANCE, ENGAGEMENT PLATFORM 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

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

6.5.2.1.2

CANADA

6.5.2.2

EUROPE

6.5.2.2.1

GERMANY

6.5.2.2.2

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, 2025–2026

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

AI IN MEDIA AND ENTERTAINMENT MARKET, BY OFFERING

Market Size & Growth Rate Forecast Analysis to 2030 in USD Million | 50 Data Tables

113

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

7.2.1.1.2

IMAGE

7.2.1.1.3

AUDIO

7.2.1.1.4

VIDEO

7.2.1.1.5

MULTIMODAL

7.2.1.2

CONTENT DISTRIBUTION

7.2.1.2.1

AD TARGETING

7.2.1.2.2

PERSONALIZED RECOMMENDATIONS

7.2.1.3

AUDIENCE ANALYTICS

7.2.1.3.1

SENTIMENT ANALYSIS

7.2.1.3.2

BEHAVIOR MODELING

7.2.1.3.3

CUSTOMER SEGMENTATION

7.2.1.3.4

MUSIC RECOMMENDATION AND DISCOVERY

7.2.1.4

WORKFLOW AUTOMATION

7.2.1.4.1

TRANSCRIPTION

7.2.1.4.2

METADATA TAGGING

7.2.1.4.3

INDEXING

7.2.1.4.4

TRANSLATION AND LOCALIZATION

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

AI IN MEDIA AND ENTERTAINMENT, BY TECHNOLOGY

Market Size & Growth Rate Forecast Analysis to 2030 in USD Million | 6 Data Tables

145

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

AI IN MEDIA AND ENTERTAINMENT MARKET, BY APPLICATION

Market Size & Growth Rate Forecast Analysis to 2030 in USD Million | 30 Data Tables

149

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

9.3.4.2

NOISE REDUCTION AND CLARITY ENHANCEMENT

9.3.4.2.1

CRYSTAL-CLEAR AUDIO: ELEVATING SOUND QUALITY

9.3.4.3

FRAME RESTORATION

9.3.4.3.1

REVIVING VISUALS: RESTORING FRAMES TO PERFECTION

9.3.4.4

OTHERS

9.3.5

NPC BEHAVIOR MODELING

9.3.5.1

EMOTION STIMULATION

9.3.5.1.1

ELICITING PLAYER EMOTIONS THROUGH DYNAMIC NPC INTERACTIONS

9.3.5.2

ADAPTIVE STORYTELLING

9.3.5.2.1

CRAFTING PERSONALIZED NARRATIVES WITH INTELLIGENT NPCS

9.3.5.3

NPC LEARNING FROM PLAYER PATTERNS

9.3.5.3.1

ENHANCING NPC INTELLIGENCE BY ANALYZING PLAYER BEHAVIOR

9.3.5.4

OTHERS

9.3.6

GAMING CONTENT OPTIMIZATION

9.3.6.1

PLAYER FEEDBACK INTEGRATION

9.3.6.1.1

ENHANCING ENGAGEMENT THROUGH PLAYER INSIGHTS

9.3.6.2

GAME LOGIC TESTING AND DEBUGGING

9.3.6.2.1

ENSURING FLAWLESS GAMEPLAY WITH RIGOROUS TESTING

9.3.6.3

PROCEDURAL CONTENT GENERATION

9.3.6.3.1

DYNAMIC WORLDS CRAFTED BY INTELLIGENT ALGORITHMS

9.3.6.4

OTHERS

9.3.7

IMMERSIVE ENTERTAINMENT

9.3.7.1

MULTI-SENSORY INTERACTION

9.3.7.1.1

ENGAGING ALL SENSES FOR UNFORGETTABLE EXPERIENCES

9.3.7.2

AVATAR CUSTOMIZATION

9.3.7.2.1

CRAFTING IDENTITY: PERSONALIZING AVATAR ADVENTURE

9.3.7.3

DYNAMIC STORYTELLING

9.3.7.3.1

SHAPING NARRATIVE: BECOME THE HERO OF THE STORY

9.3.7.4

OTHERS

AI IN MEDIA AND ENTERTAINMENT MARKET, BY END USER

Market Size & Growth Rate Forecast Analysis to 2030 in USD Million | 30 Data Tables

184

10.1

INTRODUCTION

10.1.1

END USER: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS

10.2

MEDIA

10.2.1

NEWS & PUBLISHING

10.2.1.1

AI-DRIVEN CONTENT RECOMMENDATION PERSONALIZING NEWS FEEDS FOR BETTER READER ENGAGEMENT

10.2.2

SOCIAL MEDIA

10.2.2.1

EMPLOYING AI FOR TARGETED ADVERTISING TO ANALYZE USER DATA FOR BETTER ENGAGEMENT

10.2.3

ADVERTISING & MARKETING AGENCIES

10.2.3.1

AI TOOLS EMPOWERING AD AGENCIES WITH PREDICTIVE ANALYTICS TO FORECAST TRENDS AND ENHANCE CAMPAIGN EFFECTIVENESS

10.2.4

BROADCASTING & JOURNALISM

10.2.4.1

AI STREAMLINING VIDEO PRODUCTION FOR FASTER, HIGH-QUALITY CONTENT

10.2.5

INDIVIDUAL USERS

10.2.5.1

INTEGRATING AI INTO PERSONAL MEDIA CONSUMPTION TO ENRICH INDIVIDUAL EXPERIENCES AND PROVIDE TAILORED INTERACTIONS

10.3

ENTERTAINMENT

10.3.1

FILM STUDIOS

10.3.1.1

LEVERAGING AI TO IMPROVE OPERATIONAL EFFICIENCY AND CREATE PERSONALIZED VIEWING EXPERIENCES

10.3.2

GAME DEVELOPMENT COMPANIES

10.3.2.1

EMPLOYING AI TO CREATE IMMERSIVE EXPERIENCES AND ENHANCE GAMEPLAY

10.3.3

TELEVISION & OTT PLATFORMS

10.3.3.1

LEVERAGING AI TO TRANSFORM CONTENT DELIVERY AND VIEWER ENGAGEMENT

10.3.4

LIVE EVENTS & SPORTS BROADCASTING

10.3.4.1

INTEGRATING AI TECHNOLOGIES FOR IMMERSIVE AND ENGAGING EXPERIENCES

10.3.5

THEME & AMUSEMENT PARKS

10.3.5.1

LEVERAGING AI TO ENHANCE GUEST EXPERIENCES AND STREAMLINE OPERATIONS

10.3.6

MUSIC PRODUCTION

10.3.6.1

UTILIZING AI ALGORITHMS TO EXPLORE NEW CREATIVE AVENUES

10.3.7

INDIVIDUAL USERS

10.3.7.1

IMPLEMENTING AI TOOLS TO CREATE VIDEOS, CAPTIONS, AND SCRIPTS FOR BROADER AUDIENCE ENGAGEMENT IN REAL-TIME

AI IN MEDIA AND ENTERTAINMENT MARKET, BY REGION

Comprehensive coverage of 7 Regions with country-level deep-dive of 17 Countries | 186 Data Tables.

202

11.1

INTRODUCTION

11.2

NORTH AMERICA

11.2.1

NORTH AMERICA: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS

11.2.2

NORTH AMERICA: MACROECONOMIC OUTLOOK

11.2.3

11.2.3.1

AI TRANSFORMING MEDIA AND ENTERTAINMENT WITH ENHANCED PRODUCTION EFFICIENCY

11.2.4

CANADA

11.2.4.1

INCREASING FOCUS ON AI REGULATIONS AND INVESTMENTS IN MEDIA AND ENTERTAINMENT

11.3

EUROPE

11.3.1

EUROPE: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS

11.3.2

EUROPE: MACROECONOMIC OUTLOOK

11.3.3

11.3.3.1

EMERGING GENERATIVE AI FIRMS TRANSFORMING MEDIA AND ENTERTAINMENT LANDSCAPE

11.3.4

GERMANY

11.3.4.1

FOSTERING AI INNOVATION THROUGH STRATEGIC COLLABORATIONS IN MEDIA SECTOR

11.3.5

FRANCE

11.3.5.1

ENFORCING STRICTER REGULATIONS ON INFLUENCERS TO ENHANCE TRANSPARENCY AND CONSUMER PROTECTION

11.3.6

ITALY

11.3.6.1

AI REVOLUTIONIZING CONTENT PERSONALIZATION IN MEDIA LANDSCAPE

11.3.7

SPAIN

11.3.7.1

HARNESSING AI TO REVOLUTIONIZE STORYTELLING AND CONTENT CREATION

11.3.8

REST OF EUROPE

11.4

ASIA PACIFIC

11.4.1

ASIA PACIFIC: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS

11.4.2

ASIA PACIFIC: MACROECONOMIC OUTLOOK

11.4.3

CHINA

11.4.3.1

AI REVOLUTIONIZING MEDIA AND ENTERTAINMENT

11.4.4

JAPAN

11.4.4.1

STRATEGIC AI COLLABORATIONS AND REGULATORY FRAMEWORKS IN MEDIA AND ENTERTAINMENT

11.4.5

INDIA

11.4.5.1

HARNESSING AI FOR IMMERSIVE MEDIA EXPERIENCES

11.4.6

SOUTH KOREA

11.4.6.1

AI INNOVATIONS ENHANCING FAN ENGAGEMENT AND PRODUCTION IN ENTERTAINMENT INDUSTRY

11.4.7

AUSTRALIA & NEW ZEALAND

11.4.7.1

RISE OF AI TECHNOLOGIES LEADING TO INNOVATIVE APPLICATIONS TO CREATE IMMERSIVE EXPERIENCES

11.4.8

ASEAN

11.4.8.1

TRANSFORMING MEDIA AND ENTERTAINMENT THROUGH PARTNERSHIPS AND AI INNOVATIONS

11.4.9

REST OF ASIA PACIFIC

11.5

MIDDLE EAST & AFRICA

11.5.1

MIDDLE EAST & AFRICA: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS

11.5.2

MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK

11.5.3

MIDDLE EAST

11.5.3.1

KSA

11.5.3.1.1

AI REVOLUTION TRANSFORMING MEDIA AND ENTERTAINMENT LANDSCAPE

11.5.3.2

UAE

11.5.3.2.1

ENHANCING MEDIA EXPERIENCES THROUGH GLOBAL TECH PARTNERSHIPS AND AI

11.5.3.3

BAHRAIN

11.5.3.3.1

FOSTERING INNOVATION THROUGH PARTNERSHIPS BETWEEN LOCAL MEDIA FIRMS AND TECH GIANTS

11.5.3.4

KUWAIT

11.5.3.4.1

HARNESSING AI AND EMERGING TECHNOLOGIES FOR TRANSFORMATIVE MEDIA EXPERIENCES

11.5.3.5

REST OF MIDDLE EAST

11.5.4

AFRICA

11.5.4.1

SURGE IN STARTUPS FOCUSING ON AI SOLUTIONS FOR VIDEO EDITING, SCRIPTWRITING, AND AUDIENCE SEGMENTATION

11.6

LATIN AMERICA

11.6.1

LATIN AMERICA: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS

11.6.2

LATIN AMERICA: MACROECONOMIC OUTLOOK

11.6.3

BRAZIL

11.6.3.1

FOSTERING AI INNOVATION THROUGH STRATEGIC COLLABORATIONS AMONG RESEARCH CENTERS

11.6.4

MEXICO

11.6.4.1

ENHANCING MEDIA WITH AI PARTNERSHIPS AND CLOUD SOLUTIONS

11.6.5

ARGENTINA

11.6.5.1

AI PARTNERSHIPS TRANSFORMING ENTERTAINMENT SECTOR

11.6.6

REST OF LATIN AMERICA

COMPETITIVE LANDSCAPE

Gain insights into market dominance with key player strategies and financial metrics analysis.

278

12.1

OVERVIEW

12.2

KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024

12.3

REVENUE ANALYSIS, 2019–2023

12.4

MARKET SHARE ANALYSIS, 2023

12.4.1

MARKET SHARE ANALYSIS OF KEY PLAYERS (MEDIA)

12.4.2

MARKET RANKING ANALYSIS (MEDIA), 2023

12.4.3

MARKET SHARE ANALYSIS OF KEY PLAYERS (ENTERTAINMENT)

12.4.4

MARKET RANKING ANALYSIS (ENTERTAINMENT)

12.5

BRAND/PRODUCT COMPARISON, BY SOFTWARE TYPE

12.5.1

PRODUCT COMPARATIVE ANALYSIS, BY CONTENT GENERATION

12.5.1.1

JASPER AI

12.5.1.2

DEEPBRAIN AI

12.5.1.3

VIMEO

12.5.2

PRODUCT COMPARATIVE ANALYSIS, BY AUDIENCE ANALYTICS

12.5.2.1

TABLEAU WITH EINSTEIN ANALYTICS (SALESFORCE)

12.5.2.2

CANVS AI

12.5.2.3

IBM WATSONX

12.5.3

PRODUCT COMPARATIVE ANALYSIS, BY WORKFLOW AUTOMATION

12.5.3.1

FILM ANALYTICS TOOLS (CINELYTIC)

12.5.3.2

FRAME.IO (ADOBE)

12.5.3.3

OTTER.AI

12.6

COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS

12.7

COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023

12.7.1

COMPANY EVALUATION MATRIX: KEY PLAYERS (MEDIA)

12.7.1.1

STARS

12.7.1.2

EMERGING LEADERS

12.7.1.3

PERVASIVE PLAYERS

12.7.1.4

PARTICIPANTS

12.7.2

COMPANY EVALUATION MATRIX: KEY PLAYERS (ENTERTAINMENT)

12.7.2.1

STARS

12.7.2.2

EMERGING LEADERS

12.7.2.3

PERVASIVE PLAYERS

12.7.2.4

PARTICIPANTS

12.7.3

COMPANY FOOTPRINT: KEY PLAYERS

12.7.3.1

COMPANY FOOTPRINT

12.7.3.2

REGIONAL FOOTPRINT

12.7.3.3

SOFTWARE TYPE FOOTPRINT

12.7.3.4

APPLICATION FOOTPRINT (MEDIA)

12.7.3.5

APPLICATION FOOTPRINT (ENTERTAINMENT)

12.7.3.6

END-USER FOOTPRINT (MEDIA)

12.8

COMPANY EVALUATION MATRIX: START-UPS/SMES, 2023

12.8.1

COMPANY EVALUATION MATRIX: START-UPS/SMES (MEDIA)

12.8.1.1

PROGRESSIVE COMPANIES

12.8.1.2

RESPONSIVE COMPANIES

12.8.1.3

DYNAMIC COMPANIES

12.8.1.4

STARTING BLOCKS

12.8.2

COMPANY EVALUATION MATRIX: START-UPS/SMES (ENTERTAINMENT)

12.8.2.1

PROGRESSIVE COMPANIES

12.8.2.2

RESPONSIVE COMPANIES

12.8.2.3

DYNAMIC COMPANIES

12.8.2.4

STARTING BLOCKS

12.8.3

COMPETITIVE BENCHMARKING: START-UPS/SMES, 2023

12.8.3.1

DETAILED LIST OF KEY START-UPS/SMES

12.8.3.2

COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES (MEDIA)

12.8.3.3

COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES (ENTERTAINMENT)

12.9

COMPETITIVE SCENARIO

12.9.1

PRODUCT LAUNCHES AND ENHANCEMENTS

12.9.2

DEALS

COMPANY PROFILES

In-depth Company Profiles of Leading Market Players with detailed Business Overview, Product and Service Portfolio, Recent Developments, and Unique Analyst Perspective (MnM View)

316

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

13.2.1.3.1

PRODUCT LAUNCHES AND ENHANCEMENTS

13.2.1.3.2

DEALS

13.2.1.4

MNM VIEW

13.2.1.4.1

KEY STRENGTHS

13.2.1.4.2

STRATEGIC CHOICES

13.2.1.4.3

WEAKNESSES AND COMPETITIVE THREATS

13.2.2

MICROSOFT

13.2.3

IBM

13.2.4

Methodology

The study involved major activities in estimating the current market size for the AI in media market. Exhaustive secondary research was done to collect information on the AI in media market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain using primary research. Different approaches, such as top-down and bottom-up, were employed to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the AI in media market.

Secondary Research

The market for the companies offering AI in media solutions is arrived at by secondary data available through paid and unpaid sources, analyzing the product portfolios of the major companies in the ecosystem, and rating the companies by their performance and quality. Various sources were referred to in the secondary research process to identify and collect information for this study. The secondary sources include annual reports, press releases, investor presentations of companies, white papers, journals, certified publications, and articles from recognized authors, directories, and databases.

In the secondary research process, various secondary sources were referred to for identifying and collecting information related to the study. Secondary sources included annual reports, press releases, and investor presentations of AI in media vendors, forums, certified publications, and whitepapers. The secondary research was used to obtain critical information on the industry’s value chain, the total pool of key players, market classification, and segmentation from the market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various key companies and organizations operating in the AI in media market. After the complete market engineering (calculations for market statistics, market breakdown, market size estimations, market forecasting, and data triangulation), extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. Primary research was also conducted to identify the segmentation types, industry trends, competitive landscape of AI in media solutions offered by various market players, and key market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key player strategies. In the complete market engineering process, the top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform the market estimation and market forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to list the key information/insights throughout the report.

Note: Tier 1 companies account for annual revenue of >USD 10 billion; tier 2 companies’ revenue ranges
between USD 1 and 10 billion; and tier 3 companies’ revenue ranges between USD 500 million–USD 1
billion

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Both top-down and bottom-up approaches were used to estimate and validate the total size of the cell culture market. These methods were also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:

AI In Media Market : Top-Down and Bottom-Up Approach

Data Triangulation

After arriving at the overall market size using the market size estimation processes explained above, the market was split into various segments and subsegments. The data triangulation and market breakup procedures were employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment. The data was triangulated by studying various factors and trends from both the demand and supply sides.

Market Definition

AI in media refers to the use of tools and ML models to effectively manage media content generated by various sources. Most of the media firms relying on AI tools to automate routine tasks, analyze audience data, create visually appealing contents, and so on. AI-driven tools like predictive analytics, recommendation engines, customer engagement, and audience segmentation shaping the overall future of media industry in building a more interactive and enhanced customer experience.

Stakeholders

AI in media software developers
AI in media service vendors
Content creators
Advertising Agencies
Broadcast Networks
Advertising Agencies
Event Organizers
Distributors and Value-added Resellers (VARs)
Independent Software Vendors (ISV)
Managed service providers
Support & maintenance service providers
System Integrators (SIs)/migration service providers
OEMs
Technology providers

Report Objectives

To define, describe, and predict the AI in media market by offering (software by type, services, and deployment mode), technology, application, end users, and region
To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
To analyze the micro markets with respect to individual growth trends, prospects, and their contributions to the total market
To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the AI in media market
To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
To forecast the market size of five main regions: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
To profile key players and comprehensively analyze their market rankings and core competencies
To analyze competitive developments, such as partnerships, new product launches, and mergers & acquisitions, in the AI in media market
To analyze the impact of the recession across all regions in the AI in media market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:

Product Analysis

Product quadrant, which gives a detailed comparison of the product portfolio of each company.

Geographic Analysis as per Feasibility

Further breakup of the North American AI In Media Market
Further breakup of the North American AI in media market
Further breakup of the European AI in media market
Further breakup of the Asia Pacific AI in media market
Further breakup of the Middle Eastern & African AI in media market
Further breakup of the Latin America AI in media market

Key Questions Addressed by the Report

How have Trump-era tariffs affected the operational strategies of AI vendors in the media sector?

Tariffs introduced during the Trump administration led to a shift in sourcing and production strategies among AI providers catering to media enterprises. Increased costs on imported components pushed vendors to reassess supply chain models and, in many cases, seek domestic or alternative partners. This disruption influenced deployment timelines and required companies to invest more in resilience planning, impacting both short-term margins and long-term scalability.

What are the opportunities for the AI in media market?

The key opportunities for AI in the education market include enhancing credibility through AI-powered fake news detection, which ensures trustworthy content and builds audience confidence. Personalized advertising, enabled by AI-driven user insights, allows marketers to deliver tailored messages that resonate with individual preferences, optimizing engagement and ROI. Additionally, dynamic storytelling through tailored narratives creates immersive media experiences, as AI analyzes audience behavior to craft content that adapts to viewers' interests, redefining how stories are consumed and shared.

Define the AI in media market.

Which region is expected to have the largest CAGR in the AI in media market?

The Asia Pacific region has the largest CAGR of the AI in media market during the forecast period.

Which are the major market players covered in the report?

Some of the key companies in the AI in media market are Google (US), Microsoft (US), IBM (US), Meta (US), OpenAI (US), Baidu (China), AWS (US), Adobe (US), Sprinklr (US), C3 AI (US), Hootsuite (US), HubSpot (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), NVIDIA (US), Salesforce (US), AI-media (Australia), Canva (Australia), Cinelytic (US), Vault AI (US), StoryFit (US), ScriptBook AI (Belgium), Synthesia (England), Murf AI (US), Lumen5 (US), Jasper (US), Aiva Technologies (Luxembourg), DeepMotion (US), HyperWrite (US), Canvs AI (US), Captions (US), VEED.IO (England), Krikey (US), Vista Social (US), Beatoven.ai (India), Contai.io (UK), Looka (US), ContentStudio.io (US), Browse AI (Canada), Copy.ai (US), Filmora (China), OpusClip (US), DeepSeek (China).

How big is the global AI in media market today?

The global AI in media market is projected to grow from USD 8.21 billion in 2024 to USD 51.08 billion by 2030, at a CAGR of 35.6% during the forecast period.

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

OVERVIEW

KEY TAKEAWAYS

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

MARKET DYNAMICS

Driver: Hyper-personalized media experiences with AI

Restraint: Inadequate legal protections against deepfake misuse

Opportunity: Enhancing credibility through AI-driven fake news detection

Challenge: AI tools threaten jobs in entertainment industry

AI in media market: COMMERCIAL USE CASES ACROSS INDUSTRIES

MARKET ECOSYSTEM

MARKET SEGMENTS

AI in Media Market, By Software

AI in Media Market, By Deployment Mode

AI in Media Market, By Media Application

AI in Media Market, By Entertainment End User

REGION

Asia Pacific to be the fastest-growing region in the AI in media market during the forecast period

AI in media market: COMPANY EVALUATION MATRIX

KEY MARKET PLAYERS

MARKET SCOPE

WHAT IS IN IT FOR YOU: AI in media market REPORT CONTENT GUIDE

DELIVERED CUSTOMIZATIONS

RECENT DEVELOPMENTS

Table of Contents

Methodology

Secondary Research

Primary Research

Market Size Estimation

AI In Media Market : Top-Down and Bottom-Up Approach

Data Triangulation

Market Definition

Stakeholders

Report Objectives

Available Customizations

Product Analysis

Geographic Analysis as per Feasibility

Company Information

Key Questions Addressed by the Report

TABLE OF CONTENTS

METHODOLOGY

Need a Tailored Report?

Personalize This Research

Let Us Help You

Growth opportunities and latent adjacency in AI In Media Market