GITNUXREPORT 2025

Ai In The Broadcasting Industry Statistics

Majority of broadcasters invest in AI for efficiency, personalization, and innovation.

Jannik Linder

Co-Founder of Gitnux, specialized in content and tech since 2016.

First published: April 29, 2025

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Statistic 1

45% of broadcasters are using AI for content personalization

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53% of broadcasters use AI for automated subtitling and captioning services

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44% of live sports broadcasters use AI for real-time decision making during games

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71% of streaming platforms have adopted AI-based content moderation tools

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AI-generated scripts are being tested by 37% of broadcasting companies for news segments

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40% of broadcasters have integrated AI into their ad targeting processes for better ROI

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55% of broadcasters use AI to analyze audience sentiment in real time

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AI-powered voice synthesis is now used for 20% of voiceover productions in broadcasting

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65% of TV networks use AI for targeted advertising during live streams

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The integration of AI into broadcast control rooms has increased by 50% in the past 2 years

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70% of media organizations are exploring AI for content archiving and retrieval

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60% of broadcasters have implemented AI-driven cybersecurity measures to protect their content and infrastructure

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53% of sports broadcasters use AI analytics to improve viewer experience and highlight key moments

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47% of broadcasters use AI for automated content tagging and metadata management to improve searchability

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The adoption rate of AI for automated content curation has increased by 55% over the past year

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59% of broadcasters are utilizing AI for improved audience retention through personalized alerts and notifications

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AI-based facial recognition technology is now used in 32% of live event broadcasts for security and personalization

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54% of broadcasters implement AI to optimize broadcasting schedules and reduce airtime wastage

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49% of broadcasters are testing AI for enhanced content localization and translation

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50% of broadcasters predict an increase in AI-driven virtual anchors in newsrooms within the next 3 years

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52% of broadcasting professionals believe AI significantly improves content production efficiency

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AI-driven automation reduces broadcasting workflow times by up to 30%

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62% of broadcasters report that AI helps enhance viewer engagement through targeted content

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68% of media executives believe AI will significantly impact the future of journalistic content

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72% of broadcasters report cost savings from AI automation in post-production

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46% of broadcasters utilize AI for customer service automation, providing instant support for viewers and partners

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34% of broadcasters report that AI helps reduce errors in live transmission

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AI-driven editing tools have increased editing speed by an average of 45% in broadcast post-production

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78% of broadcasters agree that AI will enhance the quality and creativity of produced content

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72% of news broadcasters believe AI can help in accelerating news gathering and verification processes

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65% of broadcasters see AI as a key tool for future training and skill development of staff

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78% of media executives agree that AI will revolutionize the way broadcasters operate in the next decade

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67% of broadcasting companies plan to increase their AI investments in 2024

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The global AI in media and broadcasting market is projected to reach $2.5 billion by 2026

Statistic 35

78% of media companies are exploring AI for real-time analytics during live broadcasts

Statistic 36

Investment in AI-driven content recommendation engines has increased by 40% in the last year among broadcasters

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81% of broadcasters see AI as a key factor in future production and distribution strategies

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The use of AI for deepfake detection in broadcasting has increased by 65% over the last year

Statistic 39

85% of media companies see AI as essential for future competitive advantage

Statistic 40

57% of broadcasters are investing in AI for advanced content analytics to improve programming

Statistic 41

63% of traditional broadcasters plan to transition some of their workflows to AI-powered systems within 3 years

Statistic 42

66% of broadcasters project an increase in AI-driven virtual reality and augmented reality experiences for viewers

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Sources

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Key Highlights

67% of broadcasting companies plan to increase their AI investments in 2024
45% of broadcasters are using AI for content personalization
The global AI in media and broadcasting market is projected to reach $2.5 billion by 2026
52% of broadcasting professionals believe AI significantly improves content production efficiency
AI-driven automation reduces broadcasting workflow times by up to 30%
78% of media companies are exploring AI for real-time analytics during live broadcasts
53% of broadcasters use AI for automated subtitling and captioning services
62% of broadcasters report that AI helps enhance viewer engagement through targeted content
Investment in AI-driven content recommendation engines has increased by 40% in the last year among broadcasters
81% of broadcasters see AI as a key factor in future production and distribution strategies
44% of live sports broadcasters use AI for real-time decision making during games
71% of streaming platforms have adopted AI-based content moderation tools
AI-generated scripts are being tested by 37% of broadcasting companies for news segments

With 67% of broadcasting companies planning to ramp up their AI investments in 2024 and over 80% viewing AI as crucial for future competitiveness, the broadcasting industry is experiencing a transformative shift driven by artificial intelligence that is revolutionizing content creation, distribution, and viewer engagement.

Adoption and Integration of AI in Media and Broadcasting

45% of broadcasters are using AI for content personalization
53% of broadcasters use AI for automated subtitling and captioning services
44% of live sports broadcasters use AI for real-time decision making during games
71% of streaming platforms have adopted AI-based content moderation tools
AI-generated scripts are being tested by 37% of broadcasting companies for news segments
40% of broadcasters have integrated AI into their ad targeting processes for better ROI
55% of broadcasters use AI to analyze audience sentiment in real time
AI-powered voice synthesis is now used for 20% of voiceover productions in broadcasting
65% of TV networks use AI for targeted advertising during live streams
The integration of AI into broadcast control rooms has increased by 50% in the past 2 years
70% of media organizations are exploring AI for content archiving and retrieval
60% of broadcasters have implemented AI-driven cybersecurity measures to protect their content and infrastructure
53% of sports broadcasters use AI analytics to improve viewer experience and highlight key moments
47% of broadcasters use AI for automated content tagging and metadata management to improve searchability
The adoption rate of AI for automated content curation has increased by 55% over the past year
59% of broadcasters are utilizing AI for improved audience retention through personalized alerts and notifications
AI-based facial recognition technology is now used in 32% of live event broadcasts for security and personalization
54% of broadcasters implement AI to optimize broadcasting schedules and reduce airtime wastage
49% of broadcasters are testing AI for enhanced content localization and translation

Adoption and Integration of AI in Media and Broadcasting Interpretation

With nearly half of broadcasters harnessing AI for everything from personalized content to real-time decision-making—while over half deploy AI for moderation and analytics—it’s clear that the industry is quietly rewriting the script of broadcasting, proving that in the era of AI, the future of TV is not just bright but smart, secure, and endlessly customizable.

Future Outlook and Strategic Planning for AI

50% of broadcasters predict an increase in AI-driven virtual anchors in newsrooms within the next 3 years

Future Outlook and Strategic Planning for AI Interpretation

With half of broadcasters forecasting a surge in AI-driven virtual anchors within three years, it's clear that the news industry is on the brink of swapping human charisma for algorithmic accuracy—though hopefully not at the expense of journalistic integrity.

Impact and Benefits of AI Technology

52% of broadcasting professionals believe AI significantly improves content production efficiency
AI-driven automation reduces broadcasting workflow times by up to 30%
62% of broadcasters report that AI helps enhance viewer engagement through targeted content
68% of media executives believe AI will significantly impact the future of journalistic content
72% of broadcasters report cost savings from AI automation in post-production
46% of broadcasters utilize AI for customer service automation, providing instant support for viewers and partners
34% of broadcasters report that AI helps reduce errors in live transmission
AI-driven editing tools have increased editing speed by an average of 45% in broadcast post-production
78% of broadcasters agree that AI will enhance the quality and creativity of produced content
72% of news broadcasters believe AI can help in accelerating news gathering and verification processes
65% of broadcasters see AI as a key tool for future training and skill development of staff
78% of media executives agree that AI will revolutionize the way broadcasters operate in the next decade

Impact and Benefits of AI Technology Interpretation

With over three-quarters of industry leaders predicting AI's revolutionary impact, it's clear that broadcasters are embracing automation not just to save costs and speed up workflows, but to redefine the very future of content quality, viewer engagement, and journalistic integrity.

Market Trends and Investment in AI

67% of broadcasting companies plan to increase their AI investments in 2024
The global AI in media and broadcasting market is projected to reach $2.5 billion by 2026
78% of media companies are exploring AI for real-time analytics during live broadcasts
Investment in AI-driven content recommendation engines has increased by 40% in the last year among broadcasters
81% of broadcasters see AI as a key factor in future production and distribution strategies
The use of AI for deepfake detection in broadcasting has increased by 65% over the last year
85% of media companies see AI as essential for future competitive advantage
57% of broadcasters are investing in AI for advanced content analytics to improve programming
63% of traditional broadcasters plan to transition some of their workflows to AI-powered systems within 3 years
66% of broadcasters project an increase in AI-driven virtual reality and augmented reality experiences for viewers

Market Trends and Investment in AI Interpretation

As AI swiftly moves from a behind-the-scenes tool to the broadcasting industry's core, 85% of media companies recognize it as essential for future survival—making it clear that in the near future, the only thing more automated than the content will be the industry's voice of certainty.