<p>隨着頂級應用商店湧現出大量人工智能應用，開發者可能認為將人工智能技術整合到自己的產品中是盈利的最佳選擇。然而，一項針對 iOS、Android 和網頁的訂閲應用生態系統的新研究對此假設提出了質疑。</p>
<p>提供訂閲管理工具的公司 RevenueCat 在其 2026 年訂閲應用狀態報告中表示，人工智能的整合並不能保證長期留存。相反，報告指出，人工智能驅動的應用在留存用户方面表現不佳，用户取消年度訂閲的速度比非人工智能應用快 30%，這是一個被稱為流失率的指標。</p>
<p>該報告基於對使用 RevenueCat 工具管理超過 10 億次應用內交易的訂閲應用提供商的分析，這些交易每年為開發者創造超過 110 億美元的收入。作為該領域較受歡迎的工具之一，其數據在趨勢分析方面代表了一個健康的樣本。</p>
<p>在許多有趣的發現中，報告指出，使用該公司平台的大多數應用尚未由人工智能驅動。人工智能驅動的應用在所有類別中佔 27.1%，而非人工智能應用佔 72.9%。儘管如此，這仍是一個增長中的類別，約四分之一的應用現在是由人工智能驅動的。</p>
<p>（需要明確的是，人工智能驅動的應用類別不僅包括流行的人工智能聊天機器人，如 ChatGPT 和 Gemini，還包括任何自我宣傳為人工智能驅動的應用。）</p>
<p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-category.jpeg/query-dz02ODA?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="680" height="418" original-src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-category.jpeg/query-dz02ODA"/></p>
<p>RevenueCat：按類別劃分的人工智能與非人工智能應用 <strong>圖片來源：</strong> RevenueCat</p>
<p>照片和視頻應用占人工智能應用的最大份額（61.4%），而遊戲應用的份額最小，僅為 6.2%。旅行（12.3%）和商業（19.1%）也是低人工智能細分市場。</p>
<p>更令人驚訝的數據是關於人工智能應用留存付費客户的能力。RevenueCat 的數據表明，人工智能應用在月度和年度留存方面表現不佳。</p>
<p>年度留存率是一個關注應用在 12 個月後留存訂閲用户能力的指標，人工智能應用的留存率為 21.1%，而非人工智能應用的留存率為 30.7%。在月度方面，人工智能應用的留存率為 6.1%，而非人工智能應用為 9.5%——相差 3.4 個百分點。</p>
<p>人工智能在留存方面唯一領先的領域是每週留存，人工智能應用的留存率為 2.5%，而非人工智能應用為 1.7%。值得注意的是，每週訂閲並不是人工智能應用最受歡迎的選擇。</p>
<p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-retention-rates.jpeg/query-dz02ODA?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="680" height="407" original-src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-retention-rates.jpeg/query-dz02ODA"/></p>
<p><strong>圖片來源：</strong> RevenueCat</p>
<p>這些指標可能受到人工智能技術快速變化的影響，這可能導致用户在不同的人工智能應用之間更快地跳躍，因為他們試圖找到技術最先進的應用。</p>
<p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-plans.jpeg/query-dz02ODA?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="680" height="405" original-src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-plans.jpeg/query-dz02ODA"/></p>
<p>按訂閲計劃類型劃分的人工智能與非人工智能應用 <strong>圖片來源：</strong> RevenueCat</p>
<p>隨着客户嘗試越來越多的人工智能應用，他們也更有可能發現某些應用無法滿足他們的需求。報告指出，人工智能應用的退款率比非人工智能應用高 20%（中位數為 4.2% 對 3.5%）。</p>
<p>人工智能應用的退款率上限也更高（15.6% 對 12.5%），這表明 “實現收入的波動性更大，用户價值、體驗和長期質量存在更深層次的問題，” 報告指出。</p>
<p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/Screenshot-2026-03-10-at-2.03.53-PM.jpg/query-dz02ODA?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="680" height="406" original-src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/Screenshot-2026-03-10-at-2.03.53-PM.jpg/query-dz02ODA"/></p>
<p>截圖 <strong>圖片來源：</strong> RevenueCat</p>
<p>數據表明，成為人工智能驅動應用羣體的一部分也有一些好處。</p>
<p>RevenueCat 發現，人工智能應用將用户從試用轉化為付費客户的效果比非人工智能應用好 52%（中位數為 8.5% 對 5.6%），而人工智能應用的下載變現效果比非人工智能應用好約 20%（中位數為 2.4% 對 2.0%）。</p>
<p>人工智能應用的每月實際生命週期價值（RLTV）也高出 39% 或更多，這一指標衡量的是平均付費用户隨時間的實際淨值。人工智能應用在這一指標上的中位數為每月 18.92 美元，而非人工智能應用為 13.59 美元。人工智能應用在年度基礎上維持 41% 或更高的 RLTV，中位數為 30.16 美元對 21.37 美元。</p>
<p>報告的總體結論是，人工智能可以推動強勁的早期變現，但這些應用在長期內難以維持其對客户的價值。</p>

<p>一項由 RevenueCat 進行的新研究顯示，儘管人工智能驅動的應用程序越來越受歡迎，但它們在長期訂閲者留存方面面臨困難。報告指出，人工智能應用的流失率比非人工智能應用高出 30%，年留存率分別為 21.1% 和 30.7%。儘管初期的貨幣化和轉化率更好，人工智能應用在維持用户價值方面面臨挑戰，導致更高的退款率和收入波動。總體而言，研究結果表明，整合人工智能並不保證客户的持久忠誠度</p>

<p>With the top app stores flooded with AI apps, developers may think the best bet for turning a profit is to integrate artificial intelligence technology into their own products. However, a new study focused on the subscription app ecosystem across iOS, Android, and web is calling that assumption into question.</p>
<div class="lb-trans"><p>隨着頂級應用商店湧現出大量人工智能應用，開發者可能認為將人工智能技術整合到自己的產品中是盈利的最佳選擇。然而，一項針對 iOS、Android 和網頁的訂閲應用生態系統的新研究對此假設提出了質疑。</p>
</div><p>RevenueCat, a company that offers subscription management tools used by over 75,000 app developers, said in its 2026 State of Subscription Apps Report that AI integration is not a guarantee of long-term retention. Instead, AI-powered apps struggle to retain subscribers, with people canceling their annual subscriptions — a metric known as churn — 30% faster than non-AI apps, at the median, according to the report.</p>
<div class="lb-trans"><p>提供訂閲管理工具的公司 RevenueCat 在其 2026 年訂閲應用狀態報告中表示，人工智能的整合並不能保證長期留存。相反，報告指出，人工智能驅動的應用在留存用户方面表現不佳，用户取消年度訂閲的速度比非人工智能應用快 30%，這是一個被稱為流失率的指標。</p>
</div><p>The report is based on an analysis of the subscription app providers that use RevenueCat’s tools to manage their more than 1 billion in-app transactions, generating more than $11 billion in revenue for developers annually. As one of the more popular tools in this space, its data represents a healthy sample in terms of trend analysis.</p>
<div class="lb-trans"><p>該報告基於對使用 RevenueCat 工具管理超過 10 億次應用內交易的訂閲應用提供商的分析，這些交易每年為開發者創造超過 110 億美元的收入。作為該領域較受歡迎的工具之一，其數據在趨勢分析方面代表了一個健康的樣本。</p>
</div><p>Among the many interesting findings, the report noted that most of the apps using the company’s platform are not yet powered by AI. AI-powered apps account for 27.1% of apps across all categories, compared with 72.9% for non-AI apps. Still, it’s a growing category, as roughly one in four apps is now AI-powered.</p>
<div class="lb-trans"><p>在許多有趣的發現中，報告指出，使用該公司平台的大多數應用尚未由人工智能驅動。人工智能驅動的應用在所有類別中佔 27.1%，而非人工智能應用佔 72.9%。儘管如此，這仍是一個增長中的類別，約四分之一的應用現在是由人工智能驅動的。</p>
</div><p>(To be clear, the AI-powered apps category doesn’t only include the popular AI chatbots, like ChatGPT and Gemini, but also includes any app that markets itself as being AI-powered.)</p>
<div class="lb-trans"><p>（需要明確的是，人工智能驅動的應用類別不僅包括流行的人工智能聊天機器人，如 ChatGPT 和 Gemini，還包括任何自我宣傳為人工智能驅動的應用。）</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-category.jpeg/query-dz02ODA" alt="" original-src="https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-category.jpeg?w=680"/></p>
<p>REvenuecat: AI vs Non-AI apps by category<strong>Image Credits:</strong> RevenueCat</p>
<div class="lb-trans"><p>RevenueCat：按類別劃分的人工智能與非人工智能應用 <strong>圖片來源：</strong> RevenueCat</p>
</div><p>Photo &amp; Video apps have the biggest share (61.4%) of AI-powered apps, while gaming has the smallest share at 6.2%. Travel (12.3%) and Business (19.1%) are also low-AI segments.</p>
<div class="lb-trans"><p>照片和視頻應用占人工智能應用的最大份額（61.4%），而遊戲應用的份額最小，僅為 6.2%。旅行（12.3%）和商業（19.1%）也是低人工智能細分市場。</p>
</div><p>The more surprising figures are around AI apps’ ability to retain their paying customers. AI apps underperform on retention at both a monthly and annual level, RevenueCat’s data shows.</p>
<div class="lb-trans"><p>更令人驚訝的數據是關於人工智能應用留存付費客户的能力。RevenueCat 的數據表明，人工智能應用在月度和年度留存方面表現不佳。</p>
</div><p>Annual retention, a metric focused on the app’s ability to retain subscribers after 12 months, was 21.1% for AI apps, compared with a higher 30.7% for non-AI apps. Monthly, AI apps saw 6.1% retention rates, versus 9.5% for non-AIs — a difference of 3.4 percentage points.</p>
<div class="lb-trans"><p>年度留存率是一個關注應用在 12 個月後留存訂閲用户能力的指標，人工智能應用的留存率為 21.1%，而非人工智能應用的留存率為 30.7%。在月度方面，人工智能應用的留存率為 6.1%，而非人工智能應用為 9.5%——相差 3.4 個百分點。</p>
</div><p>The only area where AI led on retention was on the weekly front, where AI apps had 2.5% retention rates compared with 1.7% for non-AI apps. It’s worth noting that weekly subscriptions are not the most popular option for AI apps.</p>
<div class="lb-trans"><p>人工智能在留存方面唯一領先的領域是每週留存，人工智能應用的留存率為 2.5%，而非人工智能應用為 1.7%。值得注意的是，每週訂閲並不是人工智能應用最受歡迎的選擇。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-retention-rates.jpeg/query-dz02ODA" alt="" original-src="https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-retention-rates.jpeg?w=680"/></p>
<p><strong>Image Credits:</strong> RevenueCat</p>
<div class="lb-trans"><p><strong>圖片來源：</strong> RevenueCat</p>
</div><p>These metrics could be influenced by the rapidly-changing state of AI technology, which could see users hopping between different AI apps more quickly, as they try to find the one that has the most current technology under the hood.</p>
<div class="lb-trans"><p>這些指標可能受到人工智能技術快速變化的影響，這可能導致用户在不同的人工智能應用之間更快地跳躍，因為他們試圖找到技術最先進的應用。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-plans.jpeg/query-dz02ODA" alt="" original-src="https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-plans.jpeg?w=680"/></p>
<p>AI vs non-AI apps by subscription plan type<strong>Image Credits:</strong> RevenueCat</p>
<div class="lb-trans"><p>按訂閲計劃類型劃分的人工智能與非人工智能應用 <strong>圖片來源：</strong> RevenueCat</p>
</div><p>As customers experiment with a growing number of AI apps, they’re also more likely to find that some don’t meet their needs. The report notes that AI apps have 20% higher refund rates (4.2% vs.3.5% at the median) than non-AI apps do.</p>
<div class="lb-trans"><p>隨着客户嘗試越來越多的人工智能應用，他們也更有可能發現某些應用無法滿足他們的需求。報告指出，人工智能應用的退款率比非人工智能應用高 20%（中位數為 4.2% 對 3.5%）。</p>
</div><p>The upper bound of refund rates for AI apps is also higher (15.6% vs. 12.5%), suggesting there’s “greater volatility in realized revenue and deeper issues in user value, experience, and long-term quality,” the report notes.</p>
<div class="lb-trans"><p>人工智能應用的退款率上限也更高（15.6% 對 12.5%），這表明 “實現收入的波動性更大，用户價值、體驗和長期質量存在更深層次的問題，” 報告指出。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/Screenshot-2026-03-10-at-2.03.53-PM.jpg/query-dz02ODA" alt="" original-src="https://techcrunch.com/wp-content/uploads/2026/03/Screenshot-2026-03-10-at-2.03.53-PM.jpg?w=680"/></p>
<p>Screenshot<strong>Image Credits:</strong> RevenueCat</p>
<div class="lb-trans"><p>截圖 <strong>圖片來源：</strong> RevenueCat</p>
</div><p>There are some benefits to being in the AI-powered apps cohort, the data indicates.</p>
<div class="lb-trans"><p>數據表明，成為人工智能驅動應用羣體的一部分也有一些好處。</p>
</div><p>RevenueCat found that AI apps convert users from trials to paid customers 52% better than non-AI apps (8.5% vs. 5.6% at the median), and AI apps monetize their downloads around 20% better than non-AI apps (2.4% to 2.0% at the median).</p>
<div class="lb-trans"><p>RevenueCat 發現，人工智能應用將用户從試用轉化為付費客户的效果比非人工智能應用好 52%（中位數為 8.5% 對 5.6%），而人工智能應用的下載變現效果比非人工智能應用好約 20%（中位數為 2.4% 對 2.0%）。</p>
</div><p>AI apps also generate 39% or higher monthly realized lifetime value (RLTV), a metric that measures the actual net value of an average paying user over time. AI apps’ median on this metric is $18.92 per month, compared with $13.59 for non-AI apps. AI apps also sustain a 41% or higher RLTV on an annual basis, at $30.16 vs. $21.37, also at the median.</p>
<div class="lb-trans"><p>人工智能應用的每月實際生命週期價值（RLTV）也高出 39% 或更多，這一指標衡量的是平均付費用户隨時間的實際淨值。人工智能應用在這一指標上的中位數為每月 18.92 美元，而非人工智能應用為 13.59 美元。人工智能應用在年度基礎上維持 41% 或更高的 RLTV，中位數為 30.16 美元對 21.37 美元。</p>
</div><p>The overall takeaway from the report’s findings is that AI can drive strong, early monetization, but these apps are struggling to sustain their value with customers over time.</p>
<div class="lb-trans"><p>報告的總體結論是，人工智能可以推動強勁的早期變現，但這些應用在長期內難以維持其對客户的價值。</p>
</div>

新數據顯示，人工智能驅動的應用程序能夠盈利，但在長期用户留存方面面臨挑戰