In 2025, React Native performance is less about “can RN be fast?” and more about where apps still lose speed in real products. One of the last consistent bottlenecks is not navigation, state, or animations — it’s images. Feeds, catalogs, chats, marketplaces, and media-heavy dashboards often fail UX expectations for one simple reason: the image pipeline is messy. Flicker during fast scroll, cache misses, oversized assets, expensive decoding, and memory spikes quickly turn a polished UI into something that feels unstable. That’s why FastImage continues to be searched, adopted, forked, and discussed — not because teams want a fancy image component, but because they want predictable caching, stable rendering, and native-grade scrolling.

Who is this article for?
Engineering managers, mobile tech leads, and architects.
Product teams building feeds and catalogs, and for React Native developers deciding whether to use FastImage.
Key takeaways
  • Image performance is still one of the highest-impact wins in React Native.
  • FastImage became popular as a drop-in replacement for Image, focusing on practical production needs like stronger caching behavior, request headers.
  • Regardless of the library, consistent results come from discipline.

The Image Bottleneck: Why RN Apps Still “Feel Slow”

React Native apps can have excellent baseline performance in 2025, but image-heavy screens remain brutal because they multiply cost. Each asset carries network latency, caching behavior, decode time, memory footprint, and render work. Put that inside a list, add fast scrolling, and you get the classic symptoms: images popping in late, placeholder flicker, dropped frames, and overheating phones during long sessions. In many products, fixing images produces a bigger UX improvement than rewriting navigation or swapping state libraries, because images sit directly on the critical path of scrolling and content perception.

What FastImage Is (and Why It Worked)

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FastImage is a React Native image component that aims to make image behavior predictable under real load, not just “it loads eventually.” It earned its reputation because it targeted the exact problems teams face in production: flicker that appears only in lists, repetitive network requests when scrolling back and forth, and inconsistent behavior between iOS and Android. For many apps, its biggest value was not “better images,” but a more reliable pipeline — one where caching feels intentional, preloading is straightforward, and authenticated images can be handled without hacks. When product screens depend on fast, stable visuals, that reliability becomes the difference between an app that feels premium and one that feels fragile.

Engineers are choosing to use React every day because it enables them to spend more time focusing on their products and less time fighting with their framework.

Tom Occhino

The 2025 Reality: “FastImage” Is Now an Approach

In 2025, the big shift is that FastImage is no longer a single obvious install-and-forget decision. Many teams treat the original FastImage package as effectively frozen, so “FastImage” today usually means one of two strategies. The first is to use a maintained FastImage-style implementation (often a fork) when you rely on patterns like priority loading, preloading, headers, and strong caching behavior. The second is to adopt a modern image component such as Expo’s image stack when you want a cleaner maintenance story, straightforward upgrades, and performance-oriented defaults — especially inside Expo-based projects. The key is not the label; it’s choosing a path that stays compatible with your React Native version and doesn’t become a tech-debt trap six months into development.

What Actually Makes Images Fast (Regardless of Library)

Libraries help, but systems win. The most reliable image performance gains come from decisions that remain true even if you switch packages later.

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The first is resizing upstream instead of on-device: serve images at the dimensions your UI needs, rather than downloading huge assets and hoping decoding won’t hurt scroll. The second is standardizing formats and asset strategy so that avatars, product cards, banners, and attachments follow predictable rules — consistency reduces cache chaos and memory spikes. Preloading matters as well, because it turns “fast enough” into “instant” by making above-the-fold content predictable rather than reactive. Finally, treat memory like a budget: aggressive caching improves UX until it crashes long sessions, so you need clear rules for what lives in memory, what lives on disk, and when eviction should happen.

Performance That Scales With Discipline

React Native’s 2025 story is about discipline: budgets, profiling, and repeatable outcomes. Image performance belongs in that same category. Mature teams don’t “hope the cache works” — they measure time-to-first-meaningful-image on key screens, frame stability while scrolling, memory growth during long sessions, and cache hit patterns across common user flows. Once images are measurable, improvements become predictable, and teams stop shipping “random flicker” regressions that consume sprints. At that point, image performance stops being a recurring fire and becomes part of the platform.

Security and Reliability for Images

Images also carry security and reliability concerns that teams often underestimate. Authenticated images require safe token handling, and public caching rules shouldn’t accidentally persist private media on shared devices. In regulated products, the image pipeline has to align with the broader security posture: how sensitive content is stored, how cache is cleared on logout, and how access is controlled. Treating images as “just UI” is how privacy bugs sneak into otherwise well-architected apps.

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The Business Value Behind Fast Images

Fast images aren’t just a performance tweak — they turn into business outcomes. When product cards appear instantly, conversion improves because users don’t hesitate. When scrolling stays smooth, engagement rises because the app feels trustworthy. When memory remains stable, crash rates fall and retention improves. And when the image pipeline is predictable, engineering velocity increases because teams stop wasting time on “only happens on some devices” visual bugs. In 2025, image performance is one of the clearest ways to translate technical discipline into user trust.

Conclusion

FastImage remains relevant in 2025 because image performance is still one of the most stubborn UX bottlenecks in React Native apps. But today, FastImage should be understood as a category: a commitment to a predictable, native-grade image pipeline. Whether you choose a maintained FastImage implementation or a modern alternative in the Expo ecosystem, the winning formula stays the same: upstream resizing, explicit caching rules, preloading strategy, and memory discipline. Get those right, and your React Native app stops feeling “cross-platform” and starts feeling premium.

Why Ficus Technologies?

At Ficus Technologies, we treat image performance as part of architecture — not a late-stage optimization. We help teams build React Native systems that stay stable at scale through measurable performance budgets, predictable caching strategies, and delivery pipelines that keep quality consistent as your product grows.
Turn React Native into a stable platform — with Ficus Technologies.

What is FastImage in React Native?

FastImage is a drop-in replacement for the standard Image component that focuses on predictable loading and caching behavior.

Is FastImage still a good choice in 2025?

It can be, but teams should be careful about maintenance and compatibility.

What’s the simplest “2025 default” for image performance?

If you’re in the Expo ecosystem, using Expo’s modern image component is often the cleanest path.

Does caching alone fix flicker and scroll jank?

Caching helps, but the real fix is a full pipeline: CDN resizing, consistent asset formats, predictable caching rules, preload strategy, and memory budgets.

author-post
Sergey Miroshnychenko
CEO AT FICUS TECHNOLOGIES
My company has assisted hundreds of businesses in scaling engineering teams and developing new software solutions from the ground up. Let’s connect.