Meta’s Data Hunger Isn’t Normal – It’s the Business Model
Meta’s data collection refers to the breadth of personal information its mobile apps declare they may gather from users, spanning dozens of categories such as precise location, browsing history, device identifiers, purchase habits, and app performance details, which collectively reveal how aggressively the company uses mobile app tracking compared with other major tech companies. The latest developer-disclosed data shows Meta is not just a little worse than its peers; it is in a different league. Surfshark’s analysis of 171 iOS apps from five tech giants found Meta’s apps declare an average of 25 out of 35 possible data types, compared with only seven or eight for Apple and Microsoft. That gap is not an implementation quirk, it is a strategy. A company that needs three times more user data than its closest mainstream rivals has chosen surveillance as its default business model, and users should treat every Meta login as an entry ticket to extensive tracking.
How Meta, Google, Amazon, Apple and Microsoft Stack Up
Surfshark’s study turns vague worries about tech company data practices into a stark user privacy comparison. Meta sits at the top, collecting an average of 25 data types out of 35. Google is not far behind at 17, followed by Amazon at 12, Microsoft at 8, and Apple at 7. In other words, Meta apps declare well over three times as many data categories as Apple or Microsoft tools. Google’s ecosystem adds another layer of concern: it accounts for 29 of the 40 most data-hungry apps in the sample, and its 44 apps were more numerous than any other publisher’s. Even when collecting fewer categories per app than Meta, Google still dominates the leaderboard of mobile app tracking. Apple and Microsoft are not perfectly privacy-friendly, but they look restrained when their apps typically list crash data, device IDs, email addresses and performance information—not the sprawling behavioral dossiers Meta and Google are building.
Inside the Numbers: What These Apps Say They Take
The study does something simple yet revealing: it counts how many data categories developers declare in Apple’s App Store, not how often or how much they collect. This disclosure-based method still exposes which giants prioritize data harvesting. All examined Meta apps list device IDs, product interactions, performance information and crash data. Nine specify precise location, and seven include browsing history—data that the researchers argue exceeds what many of these apps reasonably need. Google’s apps, meanwhile, consistently declare device IDs, diagnostic information and performance data, with many also listing search histories, purchase histories, photos or videos, email addresses and usernames. Amazon’s tools commonly list device IDs, user names, email addresses and product interactions; Amazon Alexa stands out with 28 data types, making it the most data-hungry non‑Meta app. Even Apple and Microsoft, while more conservative, still often request device IDs, crash data, performance metrics and basic identity fields.
The Privacy Gap: From Utility to Surveillance
The core problem is not that apps collect data—that is unavoidable—but that Meta and Google treat data collection as a competitive weapon rather than a minimal necessity. Surfshark’s research lead summed it up bluntly: “Our research shows that the Big Tech business model is often built on an insatiable appetite for user information.” When companies combine search history, purchase habits and precise GPS coordinates across dozens of apps, they create a detailed map of individuals’ lives. Even approximate location is enough for most features, yet many apps still reach for precise location and browsing history: nine from Meta, eleven from Amazon and eight from Google include browsing history in their declarations. Although Google’s per‑app average is lower than Meta’s, the sheer scale of its ecosystem “still poses significant data security concerns to users.” At this point, the privacy gap is less about technical capability and more about corporate willpower.
What Users and Regulators Should Demand Next
If Apple and Microsoft can run large app portfolios while declaring seven or eight data types on average, Meta’s 25 looks like a deliberate choice to overcollect, not a technical requirement. This study is based on what developers say in App Store privacy labels, but that alone is damning: when companies admit to broad tracking, users should assume those permissions matter. For ordinary people, the practical impact is that using Meta or Google apps increasingly means handing over behavioral blueprints—where you go, what you search, what you buy—to entities whose primary incentive is advertising, not your safety. Stronger transparency standards and regulatory pressure should focus on trimming data categories to what features genuinely need and enforcing limits on cross‑app profiling. Until that happens, the most effective personal response is selective trust: treat Meta and Google apps as trade‑offs, not defaults, and give your most sensitive data only to companies that visibly choose restraint over surveillance.
