In the past, broadcast TV and YouTube content has been poles apart—both in substance and the need states they served. This is changing, with the overlap in offerings growing 

We estimate that c.61% of viewing of YouTube Trending content is of videos that could be considered TV-like. Similar programming makes up c.35% of broadcast TV viewing 

YouTube’s videos are also becoming longer, raising audience tolerance and expectations, and allowing the service to compete in a broader range of genres. However, this will be challenged by monetisation limitations

Market revenue growth was just positive at 0.2% in Q2, as lower price increases were mitigated by some temporary ARPU gains.

Growth is likely to drop negative in the rest of year however, with continued weak volume growth compounded by temporary ARPU gains unwinding.

Pricing structures differ quite widely as regards landline offers and out-of-contract pricing, and all could benefit from adopting best practice, a marginal gain worth pursuing in a tough market.
 

We forecast broadcaster viewing share to drop to 52% in 2030 (from 58% in 2023), with the firming of its on demand viewing unable to balance out the decline of live: this is a slight improvement on our past estimates, with decline slowing.

SVOD viewing will begin to plateau in 2025, as video sharing platforms (YouTube, TikTok, Twitch) take an increasing share of engagement.

On the TV set, YouTube will grow strongly: we predict a 90% increase from 2023 to 2030. This is from a low base with broadcasters retaining 70% of viewing on the main screen in 2030

The UK’s choice of policy for rebalancing the relationships between news publishers and tech platforms is on the agenda of the CMA’s Digital Markets Unit for 2025. The UK is expected to steer clear of the pitfalls of Canada’s news bargaining regime, which led Meta to block news, crashing referrals.

In the UK, Google’s relationships with news publishers are much deeper than referrals, including advertising and market-specific voluntary arrangements that support a robust supply of journalism, and dovetail with the industry’s focus on technology (including AI) and distribution.

The rise of generative AI has also ignited the news industry’s focus on monetising the use of its content in LLMs. AI products could threaten the prominence, usage and positive public perceptions of journalism—this might require progress in journalism’s online infrastructure, supported by public policy.

On 4 June 2024, Enders Analysis co-hosted the annual Media and Telecoms 2024 & Beyond Conference with Deloitte, sponsored by Barclays, Financial Times, Salesforce and Adobe. 

With over 580 attendees and over 40 speakers from the TMT sector, including leading executives, policy leaders, and industry experts, the conference focused on how new technologies, regulation and infrastructure will impact the future of the industry. 

This is the edited transcript of Session Three, covering: consolidation in the telecoms sector; fixed-mobile convergence; and the future of the fibre industry. Videos of the presentations are available on the conference website.

Market revenue growth was maintained at 1.6% in Q4, helped by strong underlying ARPU, mitigated by weak volume growth.

Lower price rises will likely slow market revenue growth by c.1-2ppts next quarter, with BT being slowed the most at c.5ppts.

The market is being hit by lacklustre demand, growing altnets and persistent price competition, with these factors likely to persist in the short term.
 

TikTok has been dealt a devastating blow as a US bill has been signed into law forcing owner ByteDance to sell within a year or face its removal from app stores. 

The stakes are higher than in 2020—China's opposition to a divestment will make an optimal sale harder to conclude, so all sides must be prepared for a ban.   

The TikTok bill introduces extraordinary new powers in the context of the US and China's broad systemic rivalry, though online consumer benefits will be limited.  

Big news publishers are pursuing licensing deals with AI companies, chiefly OpenAI. Not all publishers will see a substantial return; while some news may be important for training AI models, not all publisher content will be

Litigation is a threat point when negotiations stall (see the New York Times), but the copyright status of Large Language Models (LLMs) is uncertain. In the UK, there has been no government intervention (on copyright or otherwise) that could facilitate licensing 

Publishers’ bargaining position is strongest when it comes to up-to-date material that could be important in powering some AI consumer products. They should seek deals to support their journalism, while bearing in mind the risk that new products may get between them and their readers

 

The US is intent on preventing the CCP’s goal of AI supremacy by 2030, banning exports of advanced AI chips to Chinese companies. So far, these bans have largely been shrugged off to create a new commercial dynamic in the region. 

Huawei wields a de facto monopoly on the manufacture and sale of advanced chips in China. Huawei also sells cloud services globally and threatens Apple's $70 billion in Chinese revenues through its premium handsets. 

China’s AI regulation is highly supportive of the training and deployment of Chinese-language LLMs developed by tech platforms, startups, and device makers, with meaningful revenue gains only appearing by H2 2024.