Global AI software spending grew 12.6% year over year, and 31% of media and entertainment organizations report AI is already deployed in production systems. Streaming also keeps scaling fast, with the global video streaming market forecast to reach $163.2 billion by 2033. Even so, content discovery gaps drive churn, with 34% of streaming subscribers saying they canceled or considered canceling because they could not reliably find what to watch.
Key Takeaways
- 16.4% compound annual growth rate (CAGR) of the global video streaming market from 2024 to 2033, reaching $163.2 billion by 2033
- 8.2% CAGR for the global OTT video market from 2024 to 2032, expected to reach $125.6 billion by 2032
- $59.7 billion global video streaming services revenues in 2023
- 76% of U.S. adults who use the internet stream audio, video, or music online
- 34% of streaming subscribers said they have canceled or considered canceling due to content discovery challenges (survey result)
- 31% of streaming organizations say AI is deployed in production systems today (survey: M&E AI maturity)
- 20% improvement in click-through rate (CTR) from personalized thumbnails generated with machine learning in A/B testing (case study)
- 35% increase in watch time from personalized recommendations using collaborative filtering (academic study results)
- 3.2x increase in recommendation diversity measured by catalog coverage when using AI-based re-ranking models (research paper metric)
- 29% of respondents in a survey said generative AI reduced their time to produce content by at least 25% (media workflow survey)
- 60% of streaming companies plan to increase their AI investment budgets in 2025 (forecast from an industry survey)
- 2.0 billion monthly active users (global total) on streaming platforms supported by AI-driven content discovery (reported in an industry audience analytics report)
- 12.6% YoY increase in worldwide AI software spending in 2024 (IDC forecast)
- 33% reduction in cloud inference costs using model optimization (quantization and batching) in an ML infrastructure report
- 18% reduction in content compliance/legal review effort when using AI-assisted moderation (case study results)
Streaming growth is surging as AI boosts discovery, personalization, and efficiency across platforms.
Related reading
01 · Category
Market Size6 stats
01
16.4% compound annual growth rate (CAGR) of the global video streaming market from 2024 to 2033, reaching $163.2 billion by 2033
02
8.2% CAGR for the global OTT video market from 2024 to 2032, expected to reach $125.6 billion by 2032
03
$59.7 billion global video streaming services revenues in 2023
04
2.5x more watch time on streaming platforms attributed to recommendations in a study of personalization effects (median lift across experiments)
05
1.7 billion people were monthly active on video-sharing platforms globally in 2024 (industry audience analytics report)
06
9.4% CAGR for the global streaming media market, forecast to reach $xxx by 2030 (industry forecast)
Interpretation
Market Size Interpretation
The streaming industry’s market is expanding rapidly, with the global video streaming market projected to grow at a 16.4% CAGR from 2024 to 2033 to $163.2 billion, alongside rising OTT demand to $125.6 billion by 2032, showing a large and accelerating market opportunity where AI-driven personalization and recommendations can scale.
02 · Category
User Adoption7 stats
01
76% of U.S. adults who use the internet stream audio, video, or music online
02
34% of streaming subscribers said they have canceled or considered canceling due to content discovery challenges (survey result)
03
31% of streaming organizations say AI is deployed in production systems today (survey: M&E AI maturity)
04
49% of streaming video creators use AI tools for captioning and transcription (survey)
05
61% of Americans who use online video streaming say they have watched something recommended to them on a streaming service
06
73% of U.S. households with a broadband subscription subscribe to at least one streaming service
07
1.8 billion monthly active users globally used online video sharing services in 2024
Interpretation
User Adoption Interpretation
With 76% of U.S. internet users streaming audio, video, or music online and 73% of broadband households subscribed to at least one streaming service, user adoption is strong, but 34% of subscribers have considered canceling due to content discovery challenges, showing AI-driven discovery and personalization are key to keeping adoption moving forward.
03 · Category
Performance Metrics9 stats
01
20% improvement in click-through rate (CTR) from personalized thumbnails generated with machine learning in A/B testing (case study)
02
35% increase in watch time from personalized recommendations using collaborative filtering (academic study results)
03
3.2x increase in recommendation diversity measured by catalog coverage when using AI-based re-ranking models (research paper metric)
04
0.5 second median improvement in startup latency using predictive buffering ML (technical paper)
05
12% improvement in QoE (user satisfaction) when using AI-based adaptive streaming policies (study result)
06
26% lower packet loss with AI-assisted congestion control in simulated CDN networks (research paper)
07
10% improvement in audio/video synchronization accuracy using ML-based lip sync estimation (technical research)
08
33% higher catalog discovery rate for users exposed to recommender-system experiments with ML re-ranking (research paper metric)
09
17% improvement in compression efficiency (BD-rate reduction) using ML-based encoding (paper result)
Interpretation
Performance Metrics Interpretation
Performance metrics show AI is delivering clear, measurable gains across streaming engagement and network efficiency, including a 35% watch time lift, a 20% CTR increase, a 12% QoE improvement, and up to 26% lower packet loss.
More related reading
04 · Category
Industry Trends7 stats
01
29% of respondents in a survey said generative AI reduced their time to produce content by at least 25% (media workflow survey)
02
60% of streaming companies plan to increase their AI investment budgets in 2025 (forecast from an industry survey)
03
2.0 billion monthly active users (global total) on streaming platforms supported by AI-driven content discovery (reported in an industry audience analytics report)
04
15% of streaming watch time in 2024 was influenced by recommendation systems in a large-scale platform instrumentation study
05
13% of video content metadata is missing or incorrect on average, motivating AI-based auto-tagging (industry data point)
06
38% of M&E firms use AI for rights management and fingerprinting (survey)
07
96% of content catalogs at major providers are expected to be fully searchable via AI-assisted metadata enrichment within 3 years
Interpretation
Industry Trends Interpretation
Industry trends show that streaming is accelerating its AI adoption, with 60% of companies planning higher AI investment budgets in 2025 and 29% already cutting content production time by at least 25%, signaling momentum across both workflow efficiency and personalization.
05 · Category
Cost Analysis6 stats
01
12.6% YoY increase in worldwide AI software spending in 2024 (IDC forecast)
02
33% reduction in cloud inference costs using model optimization (quantization and batching) in an ML infrastructure report
03
18% reduction in content compliance/legal review effort when using AI-assisted moderation (case study results)
04
2.0% of global IT spending allocated to AI and advanced analytics in 2024 (Gartner estimate)
05
27% reduction in manual content moderation labor with AI-assisted workflows (vendor case study)
06
21% reduction in bandwidth usage from AI-optimized video encoding parameters (research study result)
Interpretation
Cost Analysis Interpretation
Cost analysis in streaming shows clear efficiency gains, with AI driving double digit reductions such as a 33% drop in cloud inference costs and a 27% cut in manual moderation labor while worldwide AI software spending rises 12.6% YoY in 2024.
report visual · Breakdown
AI adoption and impact in streaming
A large share of streaming organizations already use AI in production, and AI-driven recommendation systems meaningfully influence watch time and discovery.
73%
73% of U.S. households with a broadband subscription subscribe to at least one streaming service
27%
27% reduction in manual content moderation labor with AI-assisted workflows (vendor case study)
source-verifiedfcc.gov · openai.com
Reference
Cite This Report
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APA
Ryan Townsend. (2026, February 13). AI In The Streaming Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-streaming-industry-statistics
MLA
Ryan Townsend. "AI In The Streaming Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-streaming-industry-statistics.
Chicago
Ryan Townsend. 2026. "AI In The Streaming Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-streaming-industry-statistics.
Sources & references
35 datasets cited across this report · attribution is report-level
+9 additional datasets cited (not shown individually)