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

Meta led the pack of tech results in Q2 with 22% growth and championing a suite of generative AI products; should these falter, Meta can recalibrate by devoting more of its AI infrastructure to core user and ad products. 

AI and the metaverse give Meta an uncertain shot at a new platform play, leveraging its enormous user base and bringing developers back into the fold. 

Reality Labs is still burning cash, but a collaboration with Ray-Ban offers a path to usable head-mounted displays, and could get Meta there faster than Apple’s cutting-edge approach. 

Google has permanently shelved the 2025 deadline for removing all third-party cookies from Chrome, but publishers should prepare for much higher rates of users blocking cookies. 

The online economy is still moving towards more privacy and user controls on the major platforms, with Android the next target for the Privacy Sandbox. 

Regulators are increasingly setting the terms online, limiting Google's freedom of movement, and with the conflict between competition and user privacy protections defining the next phase of the internet.

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.  

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. 

Device makers regained their mojo at this year’s MWC, with phones a crucial route to generative AI becoming a daily habit. 

AI software has improved and proliferated, but limited differentiation leaves room for consolidation as a competitive funding crunch looms. 

Unanswered questions loom large, but won't dim AI's potential. 

Meta's China risk is overstated: the spend from Chinese advertisers is diverse and resilient to everything short of a full-blown trade war. 

Apple (and Tesla) are in the more precarious position of selling directly in-market, and face sharpening domestic competition.

Amazon's exit from selling in China still leaves it exposed: its marketplace strategy is built on Chinese sellers, whose potential routes to market are proliferating with local platforms going global.  

Despite its scale, YouTube can get overlooked. But its tremendous reach and impact across all demographics make it the internet's universal service provider. 

YouTube is still the golden child for creators who want to make a living from their content. For YouTube, this broad base of suppliers ensures a position of strength from which to claim a large revenue share. 

Competition from TikTok took some of the shine off YouTube's usage, and forced it promote lower-monetising Shorts. YouTube is pushing heavily into subscriptions, TV sets, and premium content via sports rights to boost the money it makes per minute spent. 

Advertising activity has shifted dramatically from brand-building to activation in the past few years. Advertisers should resist the pressure to spend even more on activation: those that rebalance to brand building can gain a long-term competitive advantage.

Brand advertising works by building up memories and associations, supporting market share and pricing. This is done best by television, print, audio and out-of-home, but in a rapidly fragmenting media landscape online video and display can no longer just be a supporting act.

Investing in proper cross-channel audience measurement and planning will allow advertisers to use brand advertising effectively across all media, as well as supporting broadcaster and publisher ad revenue. 

As younger viewers continue to migrate from linear TV to online video-sharing platforms, engaging with the audiences on these platforms is no longer simply an opportunity, but a necessity.

However, this ecosystem offers broadcasters limited monetisation opportunities, reduced audience data and worse attribution than the more lucrative broadcast TV model.

In this fragmented media landscape, broadcasters must maximise their digital reach and exploit incremental revenue opportunities, although linear channels and owned-and-operated platforms will continue to provide the bulk of revenues.