Cart abandonment rates have been climbing steadily since 2014, after reaching an all-time high in 2013. In 2026, the share of online shopping carts that is being abandoned reached 70.22 percent. This is an increase of more than 10 percentage points compared to the start of the time period considered here. Mobiles vs. desktops When global consumers shop online, they spend considerably more when doing so on desktop computers. In December 2023, the average value of e-commerce purchases made through desktops was approximately 159 U.S. dollars. Purchases completed on mobiles and tablets were of comparable values, ranging between 100 and 105 U.S. dollars. Even though consumers spent more when conducting their shopping on computers, they were more inclined to add products to their shopping carts when using mobile devices. Ultimately, mobile devices provide a convenient and more accessible way to shop, but desktop computers remain the preferred choice for more expensive purchases. Where do consumers shop online? Across the globe, digital marketplaces are shoppers’ number-one online shopping destination. As of April 2024, some 29 percent of consumers voted marketplaces as their favorite e-commerce channel, followed by physical stores and retailer sites. Looking at which retailers’ global shoppers prefer to shop at, amazon.com emerged as the world's most popular online marketplace, based on share of visits. The U.S. portal accounted for around one-fifth of the global online marketplace's traffic in December 2023. Amazon's German and Japanese portal sites ranked third and fifth among the leading online marketplaces, further demonstrating Amazon's dominance over the market.

In 2025, a significant amount of online shopping orders were abandoned, i.e. not converted into a purchase. Websites offering beauty and personal care products had the highest cart abandonment rates out of all measured categories, measured at over ** percent. Why do buyers abandon their online carts? Wishful thinking, planning a dream vacation, just checking how expensive the total order will be... there are many reasons why consumers put together an order and end up abandoning it. Online travel bookers in particular are keen to shop around for deals and wait for the best day to book flights and hotels. Many online travel agencies (OTA) are dedicated to comparing prices, and countless blog entries encourage travelers to book their flights at certain times on specific days to save cash or get better value for money. For digital shoppers in the United States, the primary reason for abandoning an online shopping order is too high extra costs such as shipping and fees, followed by the requirement to create an account on the website to proceed with the purchase. It depends on the device Mobile users generally show higher cart abandonment rates than desktop shoppers. For instance, in the United States, mobile buyers exhibited a ten percentage points higher cart abandonment rate than desktop shoppers. Great Britain has a slightly smaller gap between mobile and desktop abandonment rates, though the higher-on-mobile trend seems to be upheld.

Comprehensive dataset of cart abandonment rates by device, region, and industry, including conversion optimization benchmarks and revenue impact analysis

In 2025, almost 40 percent of U.S. consumers abandoned online purchases during checkout due to additional costs, such as shipping, taxes, or fees. Many shoppers in the United States also frequently back out of online purchases because the website requires them to create an account or due to slow delivery. Mobile carts Cart abandonment is a big issue, especially on mobile phones. The mobile cart abandonment rate is increasing in the U.S. , reaching 84 percent in the second quarter of 2022, up from 83 percent in the same period the previous year. This trend underscores the need for retailers to optimize the mobile shopping experience and streamline the checkout process to reduce cart abandonment rates. Delivery is a deal breaker Delivery is a core part of the order chain. Approximately 70 percent of online shoppers in the United States cited free shipping as the most important criteria for e-commerce delivery, followed by fast shipping at 60 percent. This highlights the critical role of cost-effective and efficient delivery options in influencing consumer purchasing decisions.

When shopping for goods online, it is common for consumers to pull out of a transaction, leaving the order incomplete: In the fourth quarter of 2025, approximately ** percent of orders on mobile devices in the UK were not completed. During that same three-month period, ***percent of carts created were left abandoned on computers as well.

Cart abandonment is a critical metric in eCommerce that tracks the percentage of users who add items to their cart but fail to complete the purchase. Analyzing this data helps identify trends based on factors like device type, location, and customer demographics. Insights from this analysis can reveal patterns that indicate barriers to conversion, such as high shipping costs or complex checkout processes. Understanding these trends enables businesses to implement targeted strategies, like remarketing campaigns or simplifying checkout, to reduce abandonment rates and improve revenue.

When shopping for goods online, it is common for consumers to pull out of a transaction, leaving the order incomplete: In the first quarter of 2025, around ************ baskets created in the United States did not result in a completed order. However, with a rate of ** percent that quarter, cart abandonment was most common among shoppers using mobile devices.

This dataset provides granular insights into user shopping sessions, cart interactions, and abandonment behaviors on digital retail platforms. It includes session metadata, cart details, device and location information, and explicit abandonment reasons, enabling robust conversion rate analysis and personalized marketing strategies.

Dataset Overview

This dataset captures user interactions and shopping cart behavior on an e-commerce platform. It is designed to analyze the factors influencing cart abandonment and user purchasing decisions.

By examining session attributes, device info, and user activity, this data supports developing strategies to reduce abandonment rates and optimize the customer journey.

Column Descriptions

• UserID: Unique identifier for each user
• SessionID: Unique session identifier
• BrowserType: Web browser used by the user
• OperatingSystem: User’s device operating system
• DeviceType: Type of device (Mobile, Tablet, Desktop)
• NumItemsInCart: Number of items added to cart
• CartTotalAmount: Total value of items in cart (USD)
• TimeSpentOnSiteMinutes: Duration of the session in minutes
• HasCouponApplied: Indicates if a coupon was used (Boolean)
• IsReturningCustomer: Whether the user is a repeat customer (Boolean)
• LastPageViewedCategory: Product category last viewed by user
• AbandonmentReason: Reported reason for cart abandonment

In the fourth quarter of 2024, shopping cart abandonment was most prevalent in the Middle East and Africa, at a rate of 93 percent of carts abandoned during online shopping. Second-ranked was the APAC region, where 87 percent of carts were abandoned instead of leading to a purchase.

This dataset provides detailed records of e-commerce shopping cart creation, abandonment events, and recovery outcomes, including user segments, device types, and recovery methods. It enables retailers to analyze cart abandonment patterns, identify key reasons for lost sales, and measure the effectiveness of recovery campaigns across different customer groups and channels.

In April 2025, a significant amount of online shopping carts were abandoned before purchase each month. The highest cart abandonment rate (CAR) from the analyzed data was recorded in the APAC region in February 2025, as approximately ** percent of online orders were left unfinished.

This statistic represents the quarterly online shopping cart abandonment rate in the United States. As of the second quarter of 2022, the abandonment rate was 84 percent for mobile phones, up from 83 percent in the same quarter of the preceding year.

When shopping for home furniture online, consumers very frequently end up having second thoughts, pulling out of a transaction and leaving the order incomplete. In the third quarter of 2025, ** percent of the baskets created on desktop devices worldwide did not result in a completed order, and ** percent of those created on cellphones either. The product category that suffered the most from last-minute order cancellations was home appliances, closely followed by luxury goods and home furniture. Home furniture e-commerce Despite suffering from comparatively high cart abandonment rates, furniture is being bought online quite regularly in various markets. In the second quarter of 2023, the share of consumers making monthly online purchases of home and garden products in the UK and the US stood at **% and **% respectively. This indicates a substantial market for online home furniture shopping. But why do shoppers like browsing for home furniture? In a survey conducted in the US, *** of respondents reported ease of purchase as the main reason for shopping for furniture online, with **% citing free delivery as a driving factor.

The rapid expansion of E-Commerce has significantly transformed consumer shopping behavior, particularly among Generation Z (Gen Z), the largest and most digitally engaged demographic in Indonesia. Despite the increasing adoption of online shopping, cart abandonment remains a persistent challenge, impacting conversion rates and revenue for E-Commerce platforms. This study aims to investigate the factors influencing shopping cart abandonment among Indonesian Gen Z consumers in the context of E-Commerce platforms. A quantitative approach was employed, utilizing Structural Equation Modeling (SEM) to analyze survey data from 350 respondents who have recently engaged in online shopping. The research explores six key determinants of cart abandonment is perceived cost, emotional ambivalence, internet search, offline inspection, complicated return policies, and waiting for discounts. The findings reveal that emotional ambivalence and waiting for discounts are the most significant predictors of cart abandonment, with emotional conflict causing decision fatigue and promotional delays prompting postponed purchases. In contrast, perceived cost, internet search, offline inspection, and return policies were found to have minimal impact on abandonment behavior. The results suggest that E-Commerce businesses targeting Gen Z should focus on enhancing consumer confidence through simplified decision-making processes and strategic promotional tactics to reduce cart abandonment rates. This study contributes valuable insights into the psychological and behavioral drivers of cart abandonment, offering practical implications for optimizing the online shopping experience for Indonesia’s Gen Z consumers.

Cart Abandonment Prediction AI Market Outlook

As per our latest research, the global Cart Abandonment Prediction AI market size reached USD 1.47 billion in 2024, and it is projected to grow at a robust CAGR of 17.2% during the forecast period, attaining a value of USD 5.09 billion by 2033. This remarkable growth is primarily driven by the increasing adoption of AI-driven analytics across e-commerce and retail sectors, where businesses are leveraging advanced prediction tools to reduce cart abandonment rates and maximize revenue conversion.

One of the major growth factors propelling the cart abandonment prediction AI market is the exponential rise in online shopping activities across the globe. E-commerce platforms and online retailers are witnessing a surge in website traffic and transaction volumes, leading to an increased incidence of cart abandonment. With over 70% of online shopping carts abandoned before purchase completion, businesses are seeking sophisticated AI solutions to analyze user behavior, identify abandonment patterns, and implement targeted interventions. AI-powered cart abandonment prediction tools utilize machine learning algorithms to process vast datasets, enabling real-time identification of at-risk transactions and allowing retailers to proactively engage customers with personalized incentives, reminders, or assistance, ultimately improving conversion rates and customer satisfaction.

Another significant driver for the cart abandonment prediction AI market is the advancement in AI and machine learning technologies, which have made predictive analytics more accurate, scalable, and accessible. The integration of natural language processing (NLP), deep learning, and behavioral analytics enables these solutions to not only predict abandonment but also understand the underlying reasons for customer drop-offs. This technological evolution has catalyzed the adoption of AI-driven tools among both large enterprises and small and medium-sized businesses (SMEs), democratizing access to sophisticated analytics and leveling the competitive playing field. As a result, organizations are increasingly embedding AI prediction capabilities within their digital commerce ecosystems, driving overall market growth.

Additionally, the growing emphasis on customer experience optimization and data-driven decision-making is fueling the demand for cart abandonment prediction AI solutions. Modern consumers expect seamless, intuitive online shopping experiences, and any friction in the checkout process can lead to lost sales opportunities. By leveraging AI-powered insights, businesses can fine-tune their marketing strategies, personalize user journeys, and address pain points that contribute to cart abandonment. The ability to rapidly adapt to changing consumer preferences and market dynamics, facilitated by AI, is becoming a key differentiator for retailers, e-commerce platforms, and payment providers, further accelerating the expansion of the cart abandonment prediction AI market.

From a regional perspective, North America holds the largest share of the global cart abandonment prediction AI market, followed by Europe and Asia Pacific. The dominance of North America can be attributed to the presence of leading e-commerce companies, high digital adoption rates, and a strong focus on customer experience enhancement. Meanwhile, Asia Pacific is emerging as the fastest-growing region, driven by the rapid expansion of digital commerce in countries such as China, India, and Southeast Asia. The increasing penetration of smartphones, internet connectivity, and digital payment solutions is creating fertile ground for AI-driven cart abandonment prediction tools. Europe also demonstrates significant growth potential, supported by a mature e-commerce landscape and stringent regulations around data privacy, which are prompting investments in secure and compliant AI solutions.

Component Analysis

The cart abandonment prediction AI market by component is segmented into software and services, each playing a distinct role in the ecosystem. The software segment dominates the market, accounting for the largest revenue share in 2024. This dominance is attributed to the growing demand for robust AI-powered platforms that can seamlessly integrate with existing e-commerce and retail infrastructures. These software solutions typically offer advanced analytics, real-time prediction capabilities, and customizable dashboard

Cart Abandonment Solutions Market Outlook 2025-2034

The global cart abandonment solutions market was valued at $2.8 billion in 2025 and is projected to reach $7.6 billion by 2034, expanding at a compound annual growth rate (CAGR) of 11.7% over the forecast period from 2026 to 2034, driven by the accelerating shift to digital commerce, rising consumer expectations for personalized engagement, and the continued proliferation of multi-channel retail strategies. Cart abandonment, a persistent challenge for online retailers, results in an estimated $4.6 trillion in lost e-commerce revenue globally each year, with average abandonment rates hovering above 69% across all sectors. This staggering economic impact has spurred organizations of all sizes to invest aggressively in sophisticated cart recovery technologies that combine behavioral analytics, real-time personalization, and automated multi-channel outreach to re-engage lost shoppers and recover otherwise-forfeit revenue. As e-commerce continues to outpace brick-and-mortar retail growth globally, the urgency to deploy intelligent, data-driven cart abandonment platforms has risen sharply. Solutions leveraging artificial intelligence and machine learning now enable retailers to predict when a shopper is about to abandon, tailor recovery messages dynamically, and orchestrate cross-channel campaigns across email, SMS, web push, and paid retargeting channels with minimal manual intervention. The proliferation of mobile commerce, where abandonment rates can reach as high as 85%, further intensifies demand for mobile-optimized recovery workflows. Emerging markets in Asia Pacific and Latin America, experiencing rapid e-commerce adoption, represent a significant greenfield opportunity. Meanwhile, stringent data privacy regulations such as GDPR in Europe and state-level privacy laws in the United States are reshaping solution architectures, pushing vendors toward first-party data strategies and consent-based re-engagement frameworks. Enterprises are prioritizing integrated platforms that embed seamlessly into existing CRM, marketing automation, and e-commerce stack ecosystems rather than point solutions, fueling consolidation and partnership activity across the market. The growing sophistication of buyers, combined with increasing vendor R&D investment in generative AI-powered copywriting and predictive segmentation, is expected to sustain robust double-digit growth throughout the forecast period.

In 2021, the shopping cart abandonment rate on fashion websites worldwide reached 84.4 percent. In comparison, luxury fashion websites had a cart abandonment rate of almost 88 percent. Both values were significantly higher than the average abandonment rate on e-commerce websites, which stood at 77 percent.

Online conversion rates of e-commerce sites were the highest in the skincare sector, at 2.7 percent in the third quarter of 2025. Food & beverage followed, with a 2.2 percent conversion rate. For comparison, the average conversion rate of e-commerce sites across all selected sectors stood at 1.6 percent. How does conversion vary by region and device? The conversion rate, which indicates the proportion of visits to e-commerce websites that result in purchases, varies by country and region. For instance, since 2025, e-commerce sites have consistently recorded higher conversion rates among shoppers in Switzerland compared to those in the United States and other global regions. Furthermore, despite the increasing prevalence of mobile shopping worldwide, conversions remain more pronounced on larger screens such as tablets and desktops. Online shopping cart abandonment on the rise Recently, the rate at which consumers abandon their online shopping carts has been gradually rising to more than 70 percent in 2025, showing a higher difficulty for e-commerce sites to convert website traffic into purchases. In 2024, food and beverage was one of the product categories with the lowest online cart abandonment rate, confirming the sector’s relatively high conversion rate. In the United States, the primary reason why customers abandoned their shopping carts is that extra costs such as shipping, tax, and service fees were too high at checkout.

When shopping for health and beauty products on the internet, consumers often have second thoughts and leave the transaction incomplete. In the third quarter of 2025, it was most common among mobile shoppers to abandon their online basket, with a cart abandonment rate of ** percent. In contrast, around ** percent of baskets created on computers were left abandoned.