AI In Media Market

Report Code TC 9268
Published in Jan, 2025, By MarketsandMarkets™
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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

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 continues to evolve, embracing advanced technologies such as AI is becoming pivotal in revolutionizing processes and delivering impactful outcomes. AI and its sub-technologies are being rapidly integrated across content creation, distribution, and consumption platforms, including personalized streaming services, automated editing tools, and dynamic ad placements. The ultimate objective lies in optimizing content strategies to cater to diverse audiences, thereby creating hyper-personalized media experiences that captivate and retain viewers.

AI's integration into the media industry is significantly enhancing user engagement through personalized content recommendations. According to IBM, AI analyses 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.

AI In Media Market

Attractive Opportunities in the AI In Media Market

ASIA PACIFIC

The Asia Pacific region has significant growth in AI in media market, primarily in China, India and South Korea. Key companies such as IBM and Amazon leveraging AI to innovate in content creation, video production and viewer engagement. These companies are utilizing AI technologies, include machine learning and generative AI, to personalize content, optimize media production, and enhance user experiences across various entertainment platforms.

AI is transforming animation and visual effects by automating processes, enhancing creativity, and delivering more realistic, immersive experiences in entertainment.

The North American AI in media market is driven by innovation in content personalization, advanced analytics, and immersive experiences.

AI-driven user insights offer significant opportunities for personalized advertising, enabling targeted content delivery and enhancing engagement in media and entertainment.

The North American AI in media market is expected to be worth USD 15.93 billion by 2030, growing at a CAGR of 32.3% during the forecast period.

Impact of AI on AI In Media Market

Generative AI is significantly transforming the media landscape by enhancing content creation and audience engagement. According to Red Apple Tech, it enables personalized content delivery, allowing companies to quickly serve tailored movies, shows, and music to specific audience segments. This technology streamlines workflows, enabling studios to launch engaging content consistently without compromising quality. Furthermore, as noted by Big Oh Tech, generative AI fosters deeper user interaction through immersive elements like chatbots and NPCs, creating more engaging experiences. Additionally, it automates repetitive tasks, reducing production costs and time, which is crucial for meeting the rising consumer demand for fresh content in a competitive market.

AI In Media Market Impact

Global AI In Media Market Dynamics

Driver: Hyper-Personalized Media Experiences with AI

The integration of AI in VFX is not merely about enhancing productivity; it is also about elevating the creative potential of artists, allowing for innovative storytelling and richer viewer experiences. As AI technologies evolve, they will likely play an increasingly central role in shaping the future of animation and visual effects in entertainment. Major companies like Weta Digital and Industrial Light & Magic are utilizing AI to create lifelike characters and immersive settings that blend seamlessly with live action footage. Spotify employs similar tactics by sending personalized notifications about newly released music from artists that users have recently listened to, thereby increasing in-app engagement. The shift from traditional personalization to hyper-personalization is marked by the ability to predict user behavior in real-time, creating a seamless interaction that feels intuitive and relevant. Moreover, AI democratizes VFX production, enabling smaller studios and independent filmmakers to produce high-quality content that was previously inaccessible due to budget constraints. As AI continues to evolve, its impact on animation and visual storytelling is expected to deepen, fostering innovation and creativity across the industry.

Restraint: Inadequate Legal Protections Against Deepfake Misuse

The media industry is grappling with significant challenges posed by the misuse of deepfake technology, largely due to inadequate legal protections. Existing laws were established before deepfakes became prevalent, rendering them ineffective against the unique threats these technologies pose. For instance, privacy laws often fail to safeguard individuals from unauthorized use of their likenesses in deepfakes, leaving a legal vacuum that can be exploited without consequences. This gap complicates the prosecution of defamation and harassment cases involving manipulated media, as establishing malicious intent is difficult when perpetrators frequently operate anonymously. The rapid dissemination of deepfake content across digital platforms can cause extensive reputational damage before victims even become aware of the harmful material. Moreover, the technical complexity of deepfakes presents evidentiary challenges in legal proceedings, as courts may lack the necessary expertise to accurately assess such evidence. Consequently, victims often struggle to find adequate remedies, leading to emotional distress and reputational harm. There is an urgent need for comprehensive regulations that can effectively differentiate between harmful and legitimate uses of deepfake technology while ensuring that victims have access to justice and protection from exploitation.

 

Opportunity: Enhancing Credibility Through AI-Driven Fake News Detection

The integration of AI-driven fake news detection represents a transformative opportunity for the media industry, particularly in enhancing credibility amidst the growing threat of misinformation. As highlighted by Insights2TechInfo, generative AI models excel at analyzing content and authenticating sources, which is essential as misinformation increasingly undermines social stability and democratic institutions. Traditional detection methods often fall short due to the rapid proliferation of fake news, making AI's advanced capabilities crucial for accurate identification and verification. Appinventiv emphasizes that AI's ability to detect deepfakes is vital for maintaining trust in media platforms, especially as these technologies evolve quickly. Furthermore, the Trusted Web notes that AI tools can monitor over one million web domains in real-time, assessing the veracity of claims and significantly curbing the spread of false narratives. This capability not only enhances the efficiency of fact-checking processes but also empowers users by providing them with reliable information. By leveraging machine learning algorithms that analyze large volumes of data and identify patterns indicative of fake news, media organizations can better protect their audiences from misinformation, thereby reinforcing their credibility and fostering a more informed public discourse. The proactive deployment of these technologies is essential for navigating the complexities of modern information landscapes.

Challenge: AI Tools Threaten Jobs in Entertainment Industry

The rise of AI presents significant challenges to the media industry, particularly concerning job disruptions. A study by CVL Economics projects that around 62,000 entertainment jobs in California and approximately 204,000 across the United States could be affected by AI within the next three years. This disruption is largely attributed to the fact that about 72% of entertainment companies are adopting generative AI technologies, which are seen as tools for enhancing productivity and reducing operational costs. However, the implications for entry-level positions are especially alarming, as these roles are most vulnerable to automation; AI can perform many tasks traditionally handled by junior staff much more efficiently and at a lower cost. While some industry experts suggest that AI could create new job opportunities, there is considerable skepticism regarding whether displaced workers will possess the necessary skills for these emerging roles. As AI continues to evolve and reshape workflows within media organizations, the challenge remains to balance technological advancements with the need for a skilled workforce capable of adapting to new demands. This evolving landscape necessitates a proactive approach to workforce development and retraining programs to mitigate the adverse effects of AI on employment in the media sector.

Global AI In Media Market Ecosystem Analysis

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 other providers. These entities collaborate to develop, deliver, and utilize AI-based education tools, driving innovation and growth in the market.

Top Companies in AI In Media Market

Note: The above diagram only shows the representation of the AI in media market ecosystem; it is not limited to the companies represented above.
Source: Secondary Research, Interviews with Experts, and MarketsandMarkets Analysis

 

By software type, the content generation will lead the market during the forecast period.

Content generation is rapidly emerging as a leading force in the AI market within the media industry, driven by its potential to enhance both creativity and efficiency. Generative AI technologies enable the swift production of high-quality content, significantly reducing both production time and costs. By automating mundane tasks, filmmakers and content creators can redirect their focus toward more creative aspects of their work, fostering innovation and experimentation. This capability is particularly valuable as consumer expectations evolve, with an increasing demand for fresh and engaging content. Moreover, generative AI facilitates hyper-personalized content tailored to individual viewer preferences, which enhances audience engagement and retention. As media companies strive to remain competitive in a crowded landscape, leveraging generative AI becomes essential for meeting diverse audience needs. The technology not only streamlines content creation but also opens new avenues for storytelling, allowing creators to explore unique narratives and interactive experiences. As generative AI continues to advance, its integration into media processes will likely redefine how content is produced and consumed, ensuring that companies can adapt to the dynamic demands of their audiences while maintaining high standards of quality and creativity.

By media end users, the social media platforms will register the highest CAGR during the forecast period.

Social media platforms are poised to experience significant growth in the AI-driven media market, primarily due to their increasing reliance on personalized user experiences and advanced data analytics. These platforms utilize AI to analyze vast amounts of user-generated content, enabling them to deliver tailored recommendations that enhance user engagement. By predicting user behavior and preferences, AI facilitates more effective advertising strategies, making platforms like Facebook and Instagram essential for brands aiming for targeted outreach. Additionally, AI tools play a crucial role in content moderation and sentiment analysis, which help maintain a safer and more engaging environment for users. As social media continues to evolve, the integration of AI technologies becomes vital for keeping users interested and driving growth in an increasingly competitive landscape. The ability of these platforms to adapt in real-time to user interactions ensures that content remains relevant and personalized, fostering deeper connections between brands and their audiences. This transformation not only enhances user satisfaction but also positions social media as a dynamic space where businesses can thrive by leveraging AI to meet the ever-changing demands of consumers. Ultimately, the strategic application of AI will be a key factor in shaping the future of social media engagement.

By entertainment application, predicting viewer preferences segment will lead the market during the forecast period.

Predicting viewer preferences is emerging as a pivotal focus in the AI market within the media industry, significantly enhancing content personalization and user engagement. By utilizing advanced algorithms, companies can analyze extensive datasets, including viewing history and demographic information, to provide tailored recommendations that resonate with individual users. This level of personalization not only boosts user satisfaction but also increases retention rates, as audiences are more likely to engage with content that aligns with their interests. Furthermore, predictive analytics empowers studios to proactively create content that meets audience desires even before they are explicitly expressed. As competition intensifies among streaming platforms, the ability to accurately predict and cater to viewer preferences becomes essential for maintaining relevance and driving growth. This capability allows media companies to refine their content strategies, ensuring that they deliver compelling narratives that captivate their audiences. As AI continues to evolve, its role in shaping viewer experiences will be crucial, enabling a more dynamic and responsive media ecosystem that prioritizes user engagement and satisfaction. Ultimately, the integration of predictive AI in content delivery will redefine how media companies interact with their audiences, fostering loyalty and enhancing overall viewing experiences.

By region, North America holds the largest market share in AI in media market during the forecast period.

North America holds a prominent position in the AI in media sector, primarily due to its advanced technological infrastructure and the strong presence of leading media companies. The region is a hub for numerous tech giants and innovative startups that are at the forefront of AI development, driving cutting-edge solutions tailored for the media industry. Additionally, North American consumers demonstrate high digital literacy and a growing demand for personalized content, prompting companies to invest significantly in AI technologies to enhance user experiences. Favorable government policies further support this growth, creating an environment conducive to AI adoption. The collaboration between established media organizations and emerging AI startups fosters innovation, enabling the development of advanced applications for content creation, distribution, and audience engagement. As AI continues to evolve, North America is well-positioned to leverage these advancements, ensuring that it remains a leader in the media industry. This combination of factors not only enhances operational efficiency but also improves content delivery and personalization, solidifying North America's status as a key player in the global media landscape.

HIGHEST CAGR MARKET DURING FORECAST PERIOD
CANADA FASTEST-GROWING MARKET IN THE REGION
AI In Media Market Size and Share

Recent Developments of AI In Media Market

  • In December 2024, OpenAI has partnered with Future, a leading digital media company, to create specialist content using AI technology. This collaboration aims to enhance content production across various platforms, leveraging OpenAI's advanced language models to generate engaging articles and resources. Future to integrate these AI capabilities into its portfolio of brands, improving efficiency and creativity in content creation. This partnership underscores the growing trend of utilizing AI in media and publishing industries for innovative storytelling and audience engagement.
  • In October 2024, Meta has established a multi-year partnership with Reuters, marking a significant step in AI-driven news delivery. This collaboration will enable Meta's AI chatbot to provide real-time answers about current events, utilizing Reuters' trusted journalism as its source. Users in the U.S. can expect accurate news responses, complete with citations and links to detailed Reuters articles. This partnership enhances the chatbot's functionality, expanding its role beyond creative tasks to offer reliable information on current affairs, thus improving user experience and credibility in news consumption.
  • In April 2024, WPP and Google Cloud have announced a groundbreaking collaboration aimed at transforming the advertising landscape through advanced AI technologies. This partnership will leverage Google Cloud's Gemini AI model to enhance creative processes, enabling WPP to generate high-quality content more efficiently. The collaboration focuses on utilizing AI for personalized marketing strategies, improving audience engagement, and streamlining workflows. By integrating data-driven insights with innovative creative solutions, WPP aims to deliver impactful campaigns that resonate with consumers while driving measurable results for clients across various industries.
  • In March 2023, Microsoft has entered a 10-year partnership with Boosteroid, the largest independent cloud gaming provider, to bring Xbox PC games and Activision Blizzard titles, including "Call of Duty," to Boosteroid's platform. This agreement aims to enhance access to gaming for over 150 million additional players globally. Boosteroid, which has a significant software development team in Ukraine, will also collaborate with Microsoft on initiatives supporting the local gaming community amidst ongoing challenges.

Key Market Players

List of Top AI In Media Market Companies

The AI In Media Market is dominated by a few major players that have a wide regional presence. The major players in the AI In Media Market are

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Scope of the Report

Report Attribute Details
Market size available for years 2019-2030
Base year considered 2023
Forecast period 2024-2030
Forecast units (USD million/billion)
Segments Covered Offering, Technology, Application, End user, and Region
Regions covered North America, Europe, Asia Pacific, Middle East & Africa, Latin America

 

Key Questions Addressed by the Report

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.
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.
Which region is expected to have the largest share in the AI in media market?
The North American region will acquire the largest share 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), 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).
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.

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
1
  • 1.1 OBJECTIVES OF THE STUDY
  • 1.2 MARKET DEFINITION
    INCLUSIONS AND EXCLUSIONS
  • 1.3 MARKET SCOPE
    MARKET SEGMENTATION
    REGIONS COVERED
    YEARS CONSIDERED FOR THE STUDY
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS
RESEARCH METHODOLOGY
2
  • 2.1 RESEARCH DATA
    SECONDARY DATA
    - KEY DATA FROM SECONDARY SOURCES
    PRIMARY DATA
    - KEY DATA FROM PRIMARY SOURCES
    - KEY INDUSTRY INSIGHTS
    - BREAKDOWN OF PRIMARY INTERVIEWS
  • 2.2 MARKET BREAKUP AND DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    BOTTOM-UP APPROACH
    TOP-DOWN APPROACH
  • 2.4 MARKET FORECAST
  • 2.5 ASSUMPTIONS FOR THE STUDY
  • 2.6 LIMITATIONS OF THE STUDY
EXECUTIVE SUMMARY
3
PREMIUM INSIGHTS
4
  • 4.1 ATTRACTIVE OPPORTUNITIES FOR COMPANIES IN THE AI IN MEDIA AND ENTERTAINMENT MARKET
  • 4.2 AI IN MEDIA AND ENTERTAINMENT MARKET: TOP THREE APPLICATION
  • 4.3 NORTH AMERICA: AI IN MEDIA AND ENTERTAINMENT MARKET, BY SOFTWARE TYPE AND TOP APPLICATION
  • 4.4 AI IN MEDIA AND ENTERTAINMENT MARKET: BY REGION, 2024
MARKET OVERVIEW AND INDUSTRY TRENDS
5
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    RESTRAINTS
    OPPORTUNITIES
    CHALLENGES
  • 5.3 INDUSTRY TRENDS
    EVOLUTION OF AI IN MEDIA AND ENTERTAINMENT MARKET
    ARCHITECTURE OF AI IN MEDIA AND ENTERTAINMENT
    CASE STUDY ANALYSIS
    - CASE STUDY 1
    - CASE STUDY 2
    - CASE STUDY 3
    - CASE STUDY 4
    - CASE STUDY 5
    ECOSYSTEM ANALYSIS/MARKET MAP
    TECHNOLOGY ANALYSIS
    - KEY TECHNOLOGIES
    - ADJACENT TECHNOLOGIES
    - COMPLIMENTARY TECHNOLOGIES
    REGULATORY LANDSCAPE
    - REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    - REGULATORY FRAMEWORK
    SUPPLY CHAIN ANALYSIS
    PORTER’S FIVE FORCES ANALYSIS
    - THREAT FROM NEW ENTRANTS
    - THREAT OF SUBSTITUTES
    - BARGAINING POWER OF SUPPLIERS
    - BARGAINING POWER OF BUYERS
    - INTENSITY OF COMPETITION RIVALRY
    KEY CONFERENCES AND EVENTS (2024-2025)
    KEY STAKEHOLDERS AND BUYING CRITERIA
    - KEY STAKEHOLDERS IN BUYING PROCESS
    - BUYING CRITERIA
    PRICING ANALYSIS
    - INDICATIVE PRICING ANALYSIS, BY SOFTWARE TYPE
    - INDICATIVE PRICING ANALYSIS, BY APPLICATION
    PATENT ANALYSIS
    - METHODOLOGY
    - PATENTS FILED, BY DOCUMENT TYPE
    - INNOVATION AND PATENT APPLICATIONS
    TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS
    INVESTMENT LANDSCAPE AND FUNDING SCENARIO
    IMPACT OF GENERATIVE AI IN MEDIA AND ENTERTAINMENT MARKET
AI IN MEDIA AND ENTERTAINMENT MARKET, BY OFFERING
6
  • 6.1 INTRODUCTION
    OFFERING: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS
  • 6.2 SOFTWARE
    BY TYPE
    - CONTENT GENERATION
    - CONTENT DISTRIBUTION
    - AUDIENCE ANALYTICS
    - WORKFLOW AUTOMATION
    - OTHERS (SCRIPTWRITING AND STORYTELLING, POST-PRODUCTION TOOLS, SECURITY & COMPLIANCE, AND FAN ENGAGEMENT PLATFORMS)
    SOFTWARE BY DEPLOYMENT
    - CLOUD
    - ON-PREMISES
  • 6.3 SERVICES
    PROFESSIONAL SERVICES
    MANAGED SERVICES
AI IN MEDIA AND ENTERTAINMENT MARKET BY TECHNOLOGY
7
  • 7.1 INTRODUCTION
    GENERATIVE AI
    OTHER AI
AI IN MEDIA AND ENTERTAINMENT MARKET, BY APPLICATION
8
  • 8.1 INTRODUCTION
    APPLICATION: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS
  • 8.2 MEDIA
    ARTICLE WRITING & SUMMARIZING
    - CONTENT PERSONALIZATION
    - MULTILINGUAL TRANSLATION
    - TOPIC CLUSTERING AND CATEGORIZATION
    - OTHERS
    VIDEO PRODUCTION
    - AI-BASED SCENE DETECTION AND SEQUENCING
    - VIRTUAL PRODUCTION
    - MOTION TRACKING AND ENHANCEMENT
    - OTHERS
    FAKE NEWS DETECTION
    - CONTEXT-BASED CREDIBILITY SCORING
    - DEEPFAKE IDENTIFICATION
    - AUTOMATED DATA CROSS-REFERENCING
    - OTHERS
    LANGUAGE MODERATION
    - CULTURAL SENSITIVITIES IDENTIFICATION
    - ADAPTIVE FILTERING
    - PROFANITY DETECTION
    - OTHERS
    AD SAFETY OPTIMIZATION
    - BEHAVIORAL PATTERN ANALYSIS
    - AI-DRIVEN AD PLACEMENT
    - AUTOMATED FLAGGING
    - OTHERS
    NEWSROOM ANALYTICS
    - PREDICTIVE ANALYTICS FOR BREAKING NEWS TRENDS
    - EDITORIAL PLANNING AND CONTENT SCHEDULING
    - COMPETITIVE MEDIA BENCHMARKING
    - OTHERS
  • 8.3 ENTERTAINMENT
    FILM SCRIPTWRITING, VFX & STORYBOARDING
    - DIALOGUE AND CHARACTER DEVELOPMENT
    - PRE-VISUALIZATION OF SCENES
    - INTELLIGENT ADAPTATION OF SCRIPTS
    - OTHERS
    REAL-TIME OTT CONTENT MODERATION
    - CONTEXT-BASED REGIONAL CONTENT FILTERING
    - PROHIBITED OR INAPPROPRIATE LIVE CONTENT DETECTION
    - VIEWER COMMENTS ANALYSIS
    - OTHERS
    PREDICTING VIEWER PREFERENCES
    - CONTEXTUAL ANALYSIS
    - VIEWER BEHAVIOR PREDICTION
    - CLUSTERING VIEWERS
    - OTHERS
    POST-PRODUCTION WORKFLOW EDITING
    - AUTOMATED LIP-SYNCING AND DUBBING
    - NOISE REDUCTION AND CLARITY ENHANCEMENT
    - FRAME RESTORATION
    - OTHERS
    NPC BEHAVIOR MODELING
    - EMOTION SIMULATION
    - ADAPTIVE STORYTELLING
    - NPC LEARNING FROM PLAYER PATTERNS
    - OTHERS
    GAMING CONTENT OPTIMIZATION
    - PLAYER FEEDBACK INTEGRATION
    - GAME LOGIC TESTING AND DEBUGGING
    - PROCEDURAL CONTENT GENERATION
    - OTHERS
    IMMERSIVE ENTERTAINMENT
    - MULTI-SENSORY INTERACTION
    - AVATAR CUSTOMIZATION
    - DYNAMIC STORYTELLING
    - OTHERS
AI IN MEDIA AND ENTERTAINMENT MARKET, BY END-USER
10
  • 9.1 INTRODUCTION
    END-USER: AI IN MEDIA AND ENTERTAINMENT MARKET DRIVERS
  • 9.2 MEDIA
    NEWS & PUBLISHING
    SOCIAL MEDIA
    ADVERTISING & MARKETING AGENCIES
    BROADCASTING & JOURNALISM
    INDIVIDUAL USERS
  • 9.3 ENTERTAINMENT
    FILM STUDIOS
    GAMING COMPANIES/ GAME DEVELOPMENT COMPANIES
    TELEVISON & OTT PLATFORMS
    LIVE EVENTS & SPORTS BROADCASTING
    THEME PARKS/ AMUSEMENT PARKS
    MUSIC PRODUCTION
    INDIVIDUAL USERS
AI IN MEDIA AND ENTERTAINMENT MARKET, BY REGION
11
  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    NORTH AMERICA: MARKET DRIVERS
    MACROECONOMIC OUTLOOK IN NORTH AMERICA
    UNITED STATES
    CANADA
  • 10.3 EUROPE
    EUROPE: MARKET DRIVERS
    MACROECONOMIC OUTLOOK IN EUROPE
    UNITED KINGDOM
    GERMANY
    FRANCE
    ITALY
    SPAIN
    REST OF EUROPE
  • 10.4 ASIA PACIFIC
    ASIA PACIFIC: MARKET DRIVERS
    MACROECONOMIC OUTLOOK IN ASIA PACIFIC
    CHINA
    JAPAN
    INDIA
    SOUTH KOREA
    ANZ
    ASEAN
    REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST AND AFRICA
    MIDDLE EAST AND AFRICA: MARKET DRIVERS
    MACROECONOMIC OUTLOOK IN MIDDLE EAST AND AFRICA
    MIDDLE EAST
    - KSA
    - UAE
    - QATAR
    - TURKEY
    - REST OF MIDDLE EAST
    AFRICA
  • 10.6 LATIN AMERICA
    LATIN AMERICA: MARKET DRIVERS
    MACROECONOMIC OUTLOOK IN LATIN AMERICA
    BRAZIL
    MEXICO
    ARGENTINA
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
12
  • 11.1 INTRODUCTION
  • 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
    OVERVIEW OF STRATEGIES ADOPTED BY KEY AI IN MEDIA AND ENTERTAINMENT VENDORS
  • 11.3 REVENUE ANALYSIS FOR KEY PLAYERS
    BUSINESS SEGMENT REVENUE ANALYSIS
  • 11.4 MARKET SHARE ANALYSIS
    MARKET RANKING ANALYSIS
  • 11.5 PRODUCT COMPARATIVE ANALYSIS, BY SOFTWARE TYPE
    PRODUCT COMPARATIVE ANALYSIS, BY CONTENT GENERATION
    - Jasper AI
    - DeepBrain AI
    - Vimeo
    PRODUCT COMPARATIVE ANALYSIS, BY AUDIENCE ANALYTICS
    - Tableau with Einstein Analytics (Salesforce)
    - Canvs AI
    - IBM Watsonx
    PRODUCT COMPARATIVE ANALYSIS, BY WORKFLOW AUTOMATION
    - Film Analytics tools (Cinelytics)
    - Frame.io (now Adobe)
    - Otter.ai
  • 11.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2023
    - Company Footprint
    - Region Footprint
    - Offering Footprint
    - Application Footprint
    - End User Footprint
  • 11.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
    - Detailed List of Key Startups/SMEs
    - Competitive Benchmarking of Key Startups/ SMEs
  • 11.8 COMPANY VALUATION AND FINANCIAL METRICS
  • 11.9 COMPETITIVE SCENARIOS AND TRENDS
    PRODUCT LAUNCHES
    DEALS
    OTHERS
COMPANY PROFILES
13
  • 12.1 INTRODUCTION
  • 12.2 KEY PLAYERS
    MICROSOFT
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    - MNM VIEW
    IBM
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    - MNM VIEW
    GOOGLE
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    - MNM VIEW
    AWS
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    - MNM VIEW
    META
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    - MNM VIEW
    OPENAI
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    BAIDU
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    SPRINKLR
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    C3.AI
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    - ADOBE
    - VERITONE
    - TABOOLA
    - SPROUT SOCIAL
    - HOOTSUITE
    - SYMPHONYAI
    - BRIGHTCOVE
    - UNITY
    - YELLOW.AI
    - APPIER
    - AUTODESK
    - SNOWFLAKE
    - VERBIT
    - UBISOFT
    - VIMEO
    - NVIDIA
    - SALESFORCE
    - AI-MEDIA
    - CANVA
  • 12.3 STARTUPS/SMES
    CINELYTICS
    VAULT AI
    STORYFIT
    SCRIPTBOOK AI
    SYNTHESIA
    MURF AI
    LUMEN5
    JASPER
    AIVA TECHNOLOGIES
    - DEEPMOTION
    - HYPERWRITE
    - CANVS AI
    - CAPTIONS
    - VEED.IO
    - KRIKEY
    - VISTA SOCIAL
    - BEATOVEN.AI
    - AMPER MUSIC (ACQUIRED BY SHUTTERSTOCK)
    - CONTAI.IO
    - LOOKA
ADJACENT AND RELATED MARKETS
14
  • 13.1 INTRODUCTION
  • 13.2 ARTIFICIAL INTELLIGENCE (AI) MARKET – GLOBAL FORECAST TO 2030
    MARKET DEFINITION
    MARKET OVERVIEW
  • 13.3 AI IN SOCIAL MEDIA MARKET – GLOBAL FORECAST TO 2030
    MARKET DEFINITION
    MARKET OVERVIEW
APPENDIX
15
  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 14.3 AVAILABLE CUSTOMIZATIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS

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.

AI In Media Market Size, and Share

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

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 and entertainment 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 and entertainment 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

Company Information

  • Detailed analysis and profiling of additional market players (up to five)

Previous Versions of this Report

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Growth opportunities and latent adjacency in AI In Media Market

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