The global AI in media market reached between $10.53 billion and $25.98 billion in 2024, depending on how broadly each research firm defines “media.” Grand View Research pegged its 2025 estimate at $33.68 billion, a 30% jump in a single year. Every major analyst house tracking this space agrees on at least one thing: annual growth rates sit between 24% and 36% through the early 2030s, making AI in media one of the fastest-expanding sectors in tech. Here is what the latest data says about artificial intelligence in the media industry in 2026.
Artificial Intelligence in the Media Industry Statistics – TL;DR
Grand View Research estimated the AI in media and entertainment market at $33.68 billion for 2025, up from $25.98 billion in 2024.
Fortune Business Insights projects the market will hit $180.84 billion by 2034, growing at a 36.09% CAGR.
Services accounted for 60.2% of all AI in media spending in 2024, per Grand View Research.
North America held 33.6% of the global market in 2024, with the United States making up roughly 81% of that regional share.
Generative AI investment across media and entertainment businesses topped $56 billion globally in 2024.
How Big Is the AI in Media Market in 2025?
The answer depends on who you ask and what they count. Grand View Research, which includes gaming and OTT streaming in its definition, put the 2024 figure at $25.98 billion and the 2025 value at $33.68 billion. Verified Market Research, using a narrower scope limited to AI-specific media tools, recorded $10.53 billion for 2024. That $15 billion gap between the two essentially equals the combined value of AI spending in gaming and streaming platforms.
Straits Research landed in between at $19.06 billion for 2024, while Fortune Business Insights reported $11.3 billion for 2025 under a media-focused definition that excludes broader entertainment categories. Polaris Market Research placed its 2024 number at $19.5 billion. Regardless of baseline, every firm tracks growth north of 24% annually.
| Research Firm | 2024 Value | 2025 Value | Forecast End | CAGR |
|---|---|---|---|---|
| Grand View Research | $25.98B | $33.68B | $99.48B (2030) | 24.2% |
| Straits Research | $19.06B | $24.03B | $153.85B (2033) | 26.12% |
| Polaris Market Research | $19.5B | — | — | 25.22% |
| Verified Market Research | $10.53B | — | $82.45B (2032) | 25.8% |
| Fortune Business Insights | — | $11.3B | $180.84B (2034) | 36.09% |
| The Business Research Co. | — | — | $58.61B (2029) | 27.8% |
Source: Grand View Research, Straits Research, Polaris Market Research, Verified Market Research, Fortune Business Insights, The Business Research Company
Fortune Business Insights’ 36.09% CAGR is the highest reported figure, roughly 50% faster than Grand View Research’s 24.2%. The difference comes down to a smaller starting base ($15.37 billion in 2026) and a longer forecast window stretching to 2034, which compounds more growth years into the calculation.
What Drives AI Spending in the Media Industry?
Services dominated AI in media spending in 2024. Grand View Research reported that services, including consulting, system integration, and managed AI workflows, captured 60.2% of all market revenue. Polaris Market Research confirmed this independently, pointing to CGI and visual effects work in film and advertising as key service categories. This split reflects where the industry stands right now: most organizations are still in the implementation phase, buying help to get AI systems running rather than licensing off-the-shelf software.
Sales and marketing was the top application category in 2024, confirmed by both Grand View Research and Polaris Market Research. AI’s ability to deliver quick, measurable returns through programmatic advertising, audience segmentation, and personalized recommendation engines explains why this category pulls in more money than editorial or production tools. Recommendation engines at automated content platforms and major streamers like Netflix remain a core use case, while automated journalism and fake news detection are expanding quickly.
AI in Media Industry: Technology and Application Segments
| Segment | Detail | Status (2024-2025) |
|---|---|---|
| Generative AI | Fastest-growing technology | Rapid CAGR |
| ML, NLP, Computer Vision | Recommendation engines, analytics | Established, stable |
| Sales & Marketing | Programmatic ads, segmentation | Dominant application |
| Recommendation Engines | Netflix-scale deployment | Core use case |
| Automated Journalism | Content generation at scale | Expanding rapidly |
| Fake News Detection | Publisher and regulatory demand | Growing |
| Real-time OTT Moderation | Content safety screening | High growth |
| NPC Behaviour Modelling | Gaming AI | Growing segment |
Source: Grand View Research, Polaris Market Research, Fortune Business Insights, Verified Market Research
AI in Media Industry Statistics by Region
North America led the global AI in media market with a 33.6% share in 2024, according to Grand View Research. This is one of the rare data points where every major research firm agrees on both rank and rough size. The United States accounted for approximately 81% of the North American total, per Verified Market Research. The region’s dominance ties directly to the presence of the world’s largest media companies: Netflix, Disney, Warner Bros., CNN, and The New York Times all operate from North American headquarters and spend heavily on AI.
Asia Pacific ranked second in overall market size but first in growth rate. Every firm tracking this space flagged the region as the fastest-expanding, driven by AI investment in gaming, video production, and entertainment across China, Japan, and India. Europe held the third spot, with spending concentrated on GDPR compliance tools, content monitoring, and AI-powered fake news detection.
| Region | Market Share (2024) | Growth Status | Key Drivers |
|---|---|---|---|
| North America | 33.6% | Largest | Major media corporations, R&D |
| United States | ~81% of N. America | — | Streaming, digital ads, journalism |
| Asia Pacific | Second-largest | Fastest CAGR | Gaming, video, OTT platforms |
| Europe | Third-largest | Steady | GDPR compliance, content monitoring |
| South America | — | Growing | Digital distribution, marketing AI |
| Middle East & Africa | — | Rising | Government digital initiatives |
Source: Grand View Research, Fortune Business Insights, Verified Market Research, Straits Research
How Much Was Invested in Generative AI for Media?
Global investment in generative AI businesses within media and entertainment crossed $56 billion in 2024, according to data cited by Letts Group. That funding fueled the spread of AI tools across scriptwriting, video editing, recommendation engines, and automated journalism. The pace of deployment has picked up sharply, with generative AI now tagged as the fastest-growing technology segment in multiple analyst reports from Fortune Business Insights.
Two high-profile deployments in April 2025 showed what this investment looks like at production scale. Google partnered with Sphere Entertainment to re-visualize The Wizard of Oz at the Las Vegas Sphere, replacing more than 90% of the original footage with AI-enhanced visuals. Separately, Warner Bros. Discovery teamed up with AWS to launch Cycling Central Intelligence, a generative AI platform for live broadcast enhancement during the 2025 WHOOP UCI Mountain Bike World Series. The Sphere project demonstrated post-production AI at commercial scale; the CCI platform tackled the harder problem of real-time AI processing during a live sports broadcast.
Where Is the AI in Media Market Headed by 2034?
Forecast numbers vary widely by firm, but all point in the same direction. Grand View Research projects $99.48 billion by 2030. Straits Research estimates $153.85 billion by 2033. Fortune Business Insights goes furthest, calling for $180.84 billion by 2034 at a 36.09% CAGR. The Business Research Company sits at $58.61 billion by 2029, a more conservative figure that still implies nearly tripling from today’s levels.
North America’s 1,046 national AI media initiatives, drawn from European Commission data and cited by Fortune Business Insights, give a sense of how broad institutional AI deployment has become. Across the United States alone, there are 390 public media installations using AI-powered content suggestion systems, according to NIST data. These numbers go well beyond commercial platforms and include public broadcasting, local journalism projects, and government-backed media programs.
| Metric | Figure |
|---|---|
| Grand View Research 2030 Forecast | $99.48 billion |
| Straits Research 2033 Forecast | $153.85 billion |
| Fortune Business Insights 2034 Forecast | $180.84 billion |
| The Business Research Co. 2029 Forecast | $58.61 billion |
| N. America AI Content Installs | 390 public media installations |
| N. America National AI Initiatives | 1,046 separate initiatives |
| CAGR Range (All Firms) | 24.2% to 36.09% |
Source: Grand View Research, Straits Research, Fortune Business Insights, The Business Research Company, NIST, European Commission
FAQs
How big is the AI in media market in 2025?
Grand View Research estimated the AI in media and entertainment market at $33.68 billion in 2025, up 30% from $25.98 billion in 2024. Narrower estimates from Fortune Business Insights place it at $11.3 billion.
Which region leads AI adoption in media?
North America held 33.6% of the global AI in media market in 2024, per Grand View Research. The United States alone accounts for about 81% of that regional share.
What is the fastest-growing AI technology in media?
Generative AI is the fastest-growing technology segment in media, according to Fortune Business Insights. Global investment in generative AI for media and entertainment topped $56 billion in 2024.
How fast is the AI in media market growing?
Annual growth rates range from 24.2% to 36.09% depending on the research firm and forecast window. All major analysts agree on 24%+ compound annual growth through at least 2030.
What are the main applications of AI in media?
Sales and marketing led in 2024. Other top applications include recommendation engines, automated content generation, fake news detection, real-time OTT content moderation, and NPC behaviour modelling in gaming.
Sources:
https://www.fortunebusinessinsights.com/ai-in-media-market-110277
https://straitsresearch.com/report/ai-in-media-and-entertainment-market
https://www.verifiedmarketresearch.com/product/ai-in-media-market/
https://lettsgroup.com/how-ai-is-changing-the-media-industry/
With many years of professional experience within transnational corporations in different industries, Richard Jaimes has had the opportunity to lead people and organizations, investigate future topics, create strategies and innovations, consult senior management and translate insights into business advantages. Richard is also a long time senior consultant with Quantumrun Foresight.
