This report describes and explains the generative AI in media and entertainment market and covers 2019-2024, termed the historic period, and 2024-2029, 2034F termed the forecast period. The report evaluates the market across each region and for the major economies within each region.
The global generative AI in media and entertainment market reached a value of nearly $1.97 billion in 2024, having grown at a compound annual growth rate (CAGR) of 26.42% since 2019. The market is expected to grow from $1.97 billion in 2024 to $6.48 billion in 2029 at a rate of 26.86%. The market is then expected to grow at a CAGR of 26.15% from 2029 and reach $20.7 billion in 2034.
Growth in the historic period resulted from rising internet penetration, emergence of virtual influencers, increasing digital transformation and increasing adoption of virtual assistants. Factors that negatively affected growth in the historic period was privacy and security concerns and copyright and licensing issues.
Going forward, growing demand for cloud computing, rising adoption of AI in content creation, increasing usage of artificial intelligence and government initiatives for generative AI will drive the growth. Factor that could hinder the growth of the generative AI in media and entertainment market in the future include regulatory challenges and limited availability of skilled personnel and technical expertise.
North America was the largest region in the generative AI in media and entertainment market, accounting for 37.66% or $742.72 million of the total in 2024. It was followed by Asia-Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the generative AI in media and entertainment market will be Asia-Pacific and Middle East where growth will be at CAGRs of 31.95% and 29.85%respectively. These will be followed by Africa and South America where the markets are expected to grow at CAGRs of 28.73% and 28.04% respectively.
The global generative AI in media and entertainment market is fairly fragmented, with a large number of small players operating in the market. The top ten competitors in the market made up to 18.94% of the total market in 2023. Amazon Web Services Inc. was the largest competitor with a 8.80% share of the market, followed by Microsoft Corporation with 2.00%, Autodesk Inc. with 1.67%, Adobe Inc. with 1.26%, Oracle Corp. with 1.08%, EVS Broadcast Equipment S.A. with 0.97%, Runway AI Inc. with 0.97%, Alibaba Group Holding Ltd. with 0.97%, Nvidia Corporation with 0.66% and MARZ (Monsters Aliens Robots Zombies) with 0.57%.
The generative AI in media and entertainment market is segmented by type into text-to-image generation, image-to-image generation, music generation, video generation, 3-dimensional modeling and animation and other types. The text-to-image generation market was the largest segment of the generative AI in media and entertainment market segmented by type, accounting for 30.76% or $606.56 million of the total in 2024. Going forward, the image-to-image generation segment is expected to be the fastest growing segment in the generative AI in media and entertainment market segmented by type, at a CAGR of 28.70% during 2024-2029.
The generative AI in media and entertainment market is segmented by offerings into solution and services. The solution market was the largest segment of the generative AI in media and entertainment market segmented by offerings, accounting for 65.77% or $1.29 billion of the total in 2024. Going forward, the solution segment is expected to be the fastest growing segment in the generative AI in media and entertainment market segmented by offerings, at a CAGR of 31.31% during 2024-2029.
The generative AI in media and entertainment market is segmented by application into gaming, film and television, advertising and marketing, music and sound production, virtual reality (VR) and augmented reality (AR) and other applications. The gaming market was the largest segment of the generative AI in media and entertainment market segmented by application, accounting for 29.85% or $588.65 million of the total in 2024. Going forward, the virtual reality (VR) and augmented reality (AR) segment is expected to be the fastest growing segment in the generative AI in media and entertainment market segmented by application, at a CAGR of 62.01% during 2024-2029.
The generative AI in media and entertainment market is segmented by deployment mode into cloud-based and on-premise. The cloud-based market was the largest segment of the generative AI in media and entertainment market segmented by deployment mode, accounting for 65.39% or $1.28 billion of the total in 2024. Going forward, the cloud-based segment is expected to be the fastest growing segment in the generative AI in media and entertainment market segmented by deployment mode, at a CAGR of 31.49% during 2024-2029.
The top opportunities in the generative AI in media and entertainment market segmented by type will arise in the text-to-image generation segment, which will gain $1.45 billion of global annual sales by 2029. The top opportunities in the generative AI in media and entertainment market segmented by offerings will arise in the solution segment, which will gain $3.76 billion of global annual sales by 2029. The top opportunities in the generative AI in media and entertainment market segmented by deployment mode will arise in the cloud-based segment, which will gain $3.77 billion of global annual sales by 2029.The top opportunities in the generative AI in media and entertainment market segmented by application will arise in the virtual reality (VR) and augmented reality (AR) segment, which will gain $1.82 billion of global annual sales by 2029. The generative AI in media and entertainment market size will gain the most in the USA at $1.24 billion.
Market-trend-based strategies for the generative AI in media and entertainment market include focus on developing innovative AI technologies such as media copilot, focus on AI-enabled editing, voice and language recognition technology to enhance efficiency and creativity, focus on developing AI-powered assistants that bring flexibility to online news consumption, focus on image predictive analytics enabling more personalized and efficient content creation and focus on developing new AI-enhanced super apps that elevate entertainment with personalized content.
Player-adopted strategies in the generative AI in media and entertainment market include focuses on expanding its business capabilities through innovative product launch and focus on expanding its business capabilities through strategic merger and acquisitions.
To take advantage of the opportunities, the analyst recommends the generative AI in media and entertainment companies to focus on integrating generative AI to drive content performance and monetization, focus on AI-enabled editing and multilingual voice technologies to expand reach and efficiency, focus on AI-powered news assistants to personalize and streamline content delivery, focus on AI-powered news assistants to personalize and streamline content delivery, focus on AI-enhanced super apps to drive personalization and platform integration, focus on image-to-image generation to maximize growth, focus on services to capture high-growth potential, focus on cloud-based deployment to maximize scalability and growth, expand in emerging markets, focus on expanding cloud and platform-based distribution channels, focus on tiered and value-based pricing models, focus on targeted digital marketing campaigns, focus on building thought leadership and industry authority and focus on virtual and augmented reality to accelerate growth.
The global generative AI in media and entertainment market reached a value of nearly $1.97 billion in 2024, having grown at a compound annual growth rate (CAGR) of 26.42% since 2019. The market is expected to grow from $1.97 billion in 2024 to $6.48 billion in 2029 at a rate of 26.86%. The market is then expected to grow at a CAGR of 26.15% from 2029 and reach $20.7 billion in 2034.
Growth in the historic period resulted from rising internet penetration, emergence of virtual influencers, increasing digital transformation and increasing adoption of virtual assistants. Factors that negatively affected growth in the historic period was privacy and security concerns and copyright and licensing issues.
Going forward, growing demand for cloud computing, rising adoption of AI in content creation, increasing usage of artificial intelligence and government initiatives for generative AI will drive the growth. Factor that could hinder the growth of the generative AI in media and entertainment market in the future include regulatory challenges and limited availability of skilled personnel and technical expertise.
North America was the largest region in the generative AI in media and entertainment market, accounting for 37.66% or $742.72 million of the total in 2024. It was followed by Asia-Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the generative AI in media and entertainment market will be Asia-Pacific and Middle East where growth will be at CAGRs of 31.95% and 29.85%respectively. These will be followed by Africa and South America where the markets are expected to grow at CAGRs of 28.73% and 28.04% respectively.
The global generative AI in media and entertainment market is fairly fragmented, with a large number of small players operating in the market. The top ten competitors in the market made up to 18.94% of the total market in 2023. Amazon Web Services Inc. was the largest competitor with a 8.80% share of the market, followed by Microsoft Corporation with 2.00%, Autodesk Inc. with 1.67%, Adobe Inc. with 1.26%, Oracle Corp. with 1.08%, EVS Broadcast Equipment S.A. with 0.97%, Runway AI Inc. with 0.97%, Alibaba Group Holding Ltd. with 0.97%, Nvidia Corporation with 0.66% and MARZ (Monsters Aliens Robots Zombies) with 0.57%.
The generative AI in media and entertainment market is segmented by type into text-to-image generation, image-to-image generation, music generation, video generation, 3-dimensional modeling and animation and other types. The text-to-image generation market was the largest segment of the generative AI in media and entertainment market segmented by type, accounting for 30.76% or $606.56 million of the total in 2024. Going forward, the image-to-image generation segment is expected to be the fastest growing segment in the generative AI in media and entertainment market segmented by type, at a CAGR of 28.70% during 2024-2029.
The generative AI in media and entertainment market is segmented by offerings into solution and services. The solution market was the largest segment of the generative AI in media and entertainment market segmented by offerings, accounting for 65.77% or $1.29 billion of the total in 2024. Going forward, the solution segment is expected to be the fastest growing segment in the generative AI in media and entertainment market segmented by offerings, at a CAGR of 31.31% during 2024-2029.
The generative AI in media and entertainment market is segmented by application into gaming, film and television, advertising and marketing, music and sound production, virtual reality (VR) and augmented reality (AR) and other applications. The gaming market was the largest segment of the generative AI in media and entertainment market segmented by application, accounting for 29.85% or $588.65 million of the total in 2024. Going forward, the virtual reality (VR) and augmented reality (AR) segment is expected to be the fastest growing segment in the generative AI in media and entertainment market segmented by application, at a CAGR of 62.01% during 2024-2029.
The generative AI in media and entertainment market is segmented by deployment mode into cloud-based and on-premise. The cloud-based market was the largest segment of the generative AI in media and entertainment market segmented by deployment mode, accounting for 65.39% or $1.28 billion of the total in 2024. Going forward, the cloud-based segment is expected to be the fastest growing segment in the generative AI in media and entertainment market segmented by deployment mode, at a CAGR of 31.49% during 2024-2029.
The top opportunities in the generative AI in media and entertainment market segmented by type will arise in the text-to-image generation segment, which will gain $1.45 billion of global annual sales by 2029. The top opportunities in the generative AI in media and entertainment market segmented by offerings will arise in the solution segment, which will gain $3.76 billion of global annual sales by 2029. The top opportunities in the generative AI in media and entertainment market segmented by deployment mode will arise in the cloud-based segment, which will gain $3.77 billion of global annual sales by 2029.The top opportunities in the generative AI in media and entertainment market segmented by application will arise in the virtual reality (VR) and augmented reality (AR) segment, which will gain $1.82 billion of global annual sales by 2029. The generative AI in media and entertainment market size will gain the most in the USA at $1.24 billion.
Market-trend-based strategies for the generative AI in media and entertainment market include focus on developing innovative AI technologies such as media copilot, focus on AI-enabled editing, voice and language recognition technology to enhance efficiency and creativity, focus on developing AI-powered assistants that bring flexibility to online news consumption, focus on image predictive analytics enabling more personalized and efficient content creation and focus on developing new AI-enhanced super apps that elevate entertainment with personalized content.
Player-adopted strategies in the generative AI in media and entertainment market include focuses on expanding its business capabilities through innovative product launch and focus on expanding its business capabilities through strategic merger and acquisitions.
To take advantage of the opportunities, the analyst recommends the generative AI in media and entertainment companies to focus on integrating generative AI to drive content performance and monetization, focus on AI-enabled editing and multilingual voice technologies to expand reach and efficiency, focus on AI-powered news assistants to personalize and streamline content delivery, focus on AI-powered news assistants to personalize and streamline content delivery, focus on AI-enhanced super apps to drive personalization and platform integration, focus on image-to-image generation to maximize growth, focus on services to capture high-growth potential, focus on cloud-based deployment to maximize scalability and growth, expand in emerging markets, focus on expanding cloud and platform-based distribution channels, focus on tiered and value-based pricing models, focus on targeted digital marketing campaigns, focus on building thought leadership and industry authority and focus on virtual and augmented reality to accelerate growth.
Major Market Trends
- Focus on Innovative Generative AI Media Solutions Integrating Microsoft Azure OpenAI Service
- Focus on AI-Enabled Editing, Voice and Language Recognition to Boost Efficiency and Creativity
- AI-Powered Assistant Brings Flexibility to Online News Consumption
- Advancements in Image Predictive Analytics for Speed and Efficiency
- New AI-Enhanced Super App Elevates Entertainment With Personalized Content
Table of Contents
1 Executive Summary
6 Market Characteristics
7 Major Market Trends
8 Global Generative AI in Media and Entertainment Growth Analysis and Strategic Analysis Framework
9 Analysis on the Influence of Generative AI in Media and Entertainment Market
11 Information on Generative AI in Media and Entertainment Market Threats
12 Global Generative AI in Media and Entertainment Market Segmentation
13 Generative AI in Media and Entertainment Market, Regional and Country Analysis
14 Asia-Pacific Market
15 Western Europe Market
16 Eastern Europe Market
17 North America Market
18 South America Market
19 Middle East Market
20 Africa Market
21 Competitive Landscape and Company Profiles
22 Other Major and Innovative Companies
25 Key Mergers and Acquisitions
26 Recent Development in Generative AI in Media and Entertainment
27 Opportunities and Strategies
28 Generative AI in Media and Entertainment Market, Conclusions and Recommendations
29 Appendix
Executive Summary
Generative AI in Media and Entertainment Global Market Opportunities and Strategies to 2034 provides the strategists; marketers and senior management with the critical information they need to assess the global generative AI in media and entertainment market as it emerges from the COVID-19 shut down.Reasons to Purchase
- Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
- Understand how the market is being affected by the coronavirus and how it is likely to emerge and grow as the impact of the virus abates.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market research findings.
- Benchmark performance against key competitors.
- Utilize the relationships between key data sets for superior strategizing.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis.
Description
Where is the largest and fastest-growing market for generative AI in media and entertainment? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The generative AI in media and entertainment market global report answers all these questions and many more.The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market’s history and forecasts market growth by geography. It places the market within the context of the wider generative AI in media and entertainment market; and compares it with other markets.
The report covers the following chapters:
- Introduction and Market Characteristics- Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by type, by offerings, by deployment mode and by application.
- Key Trends- Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Growth Analysis and Strategic Analysis Framework- Analysis on PESTEL, end use industries, market growth rate, global historic (2019-2024) and forecast (2024-2029, 2034F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods, forecast growth contributors and total addressable market (TAM).
- Regional and Country Analysis- Historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison by region and country.
- Market Segmentation- Contains the market values (2019-2024) (2024-2029, 2034F) and analysis for each segment by type, by offerings, by deployment mode and by application in the market. Historic (2019-2024) and forecast (2024-2029) and (2029-2034) market values and growth and market share comparison by region market.
- Regional Market Size and Growth- Regional market size (2024), historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape- Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major and Innovative Companies- Details on the company profiles of other major and innovative companies in the market.
- Competitive Benchmarking- Briefs on the financials comparison between major players in the market.
- Competitive Dashboard- Briefs on competitive dashboard of major players.
- Key Mergers and Acquisitions- Information on recent mergers and acquisitions in the market covered in the report. This section gives key financial details of mergers and acquisitions, which have shaped the market in recent years.
- Recent Developments- Information on recent developments in the market covered in the report.
- Market Opportunities and Strategies- Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions and Recommendations- This section includes recommendations for generative AI in media and entertainment market providers in terms of product/service offerings geographic expansion, marketing strategies and target groups next five years.
- Appendix- This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
1) by Type: Text-To-Image Generation; Image-to-Image Generation; Music Generation; Video Generation; Dimensional Modeling and Animation; Other types
2) by Offerings: Solutions; Services
3) by Deployment Mode: Cloud-Based; on-Premise
4) by Application: Gaming; Film and Television; Advertising and Marketing; Music and Sound Production; Virtual Reality (VR) and Augmented Reality (AR); Other Applications
Key Companies Profiled: Amazon Web Services Inc.; Microsoft Corporation; Autodesk Inc.; Adobe Inc.; Oracle Corp.
Countries: Australia, China, India, Indonesia, Japan, South Korea, Brazil, Russia, USA, Canada ,France, Germany, UK, Italy, Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; generative AI in media and entertainment indicators comparison.
Data Segmentation: Country and regional historic and forecast data; market share of competitors; market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Companies Mentioned
The companies featured in this Generative AI in Media and Entertainment market report include:- Amazon Web Services Inc.
- Microsoft Corporation
- Autodesk Inc.
- Adobe Inc.
- Oracle Corp.
- EVS Broadcast Equipment S.A.
- Runway AI Inc.
- Alibaba Group Holding Ltd.
- Nvidia Corporation
- MARZ (Monsters Aliens Robots Zombies)
- Dentsu Group
- Huawei Technologies Co., Ltd.
- Baidu, Inc.
- Google LLC
- IBM
- MOSTLY AI Inc.
- NetEase, Inc.
- Toonz Media Group
- Disney Star
- DD Kisan channel
- China Media Group
- Alphabet Inc.
- Meta Platforms Inc.
- OpenAI Inc.
- Netflix Inc.
- Unity Software Inc.
- Ethical Journalism Network
- Reporters Without Borders (RSF)
- Capgemini
- Mainstream Media AG
- Humans.ai
- WPP plc
- Endemol Shine Group
- Colossyan
- DataSentics
- Deep.BI
- DRUID AI
- Genezio
- Neuron Soundware
- OFF Radio
- Krakow
- Respeecher
- Rossum
- RTB House
- Symmetrical
- UiPath Inc
- VK (VKontakte)
- Zitec's
- Accenture
- Braight AI Technologies Inc.
- Endava PLC
- GrayMeta, Inc.
- GrowthLoop
- Intel Corporation
- Jen Music AI
- Kings Entertainment Group Inc
- LMG, LLC
- LUCID Inc.
- MulticoreWare Inc
- MuleSoft, LLC
- Production Resource Group, L.L.C.
- Qvest
- Salesforce, Inc.
- SymphonyAI
- TLM Partners
- Veritone, Inc.
- Wonder Dynamics
- Zille Media Ltd
- HatchWorks
- Waverley Software
- Azumo
- Clarín
- Pinterest Inc.
- Genius Sports Ltd.
- Grupo Globo
- Fox Networks Group
- Anghami Inc.
- Suffescom Solutions Inc
- Yango Group Co. Ltd.
- CNN Academy
- Deloitte Africa
- DeepMind
- YouTube
- Inception Africa
- Sentech
- iROKOtv
- Molotov
- Dopal
- Tencent
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 375 |
| Published | April 2025 |
| Forecast Period | 2024 - 2034 |
| Estimated Market Value ( USD | $ 1.97 Billion |
| Forecasted Market Value ( USD | $ 20.7 Billion |
| Compound Annual Growth Rate | 26.5% |
| Regions Covered | Global |
| No. of Companies Mentioned | 90 |
