One of the reasons behind AI-powered customer service is the preference for conversational AI over phone calls. In 2024, 82 percent of consumers stated they would use a chatbot instead of waiting for a customer representative to take their call. An outstanding 96 percent of surveyed shoppers believed that more companies should opt for chatbots over traditional customer support services.

In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Ranges Relationship File (ADDR.dbf) contains the attributes of each address range. Each address range applies to a single edge and has a unique address range identifier (ARID) value. The edge to which an address range applies can be determined by linking the address range to the All Lines Shapefile (EDGES.shp) using the permanent topological edge identifier (TLID) attribute. Multiple address ranges can apply to the same edge since an edge can have multiple address ranges. Note that the most inclusive address range associated with each side of a street edge already appears in the All Lines Shapefile (EDGES.shp). The TIGER/Line Files contain potential address ranges, not individual addresses. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national filewith no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independentdata set, or they can be combined to cover the entire nation. The Address Range / Feature Name Relationship File (ADDRFN.dbf) contains a record for each address range / linear feature name relationship. The purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute that can be used to link to the Address Ranges Relationship File (ADDR.dbf). The linear feature name is identified by the linear feature identifier (LINEARID) attribute that can be used to link to the Feature Names Relationship File (FEATNAMES.dbf).

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

TAU Urban Acoustic Scenes 2022 Mobile evaluation dataset consists of 1-seconds audio segments from 10 acoustic scenes: Airport - airport Indoor shopping mall - shopping_mall Metro station - metro_station Pedestrian street - street_pedestrian Public square - public_square Street with medium level of traffic - street_traffic Traveling by a tram - tram Traveling by a bus - bus Traveling by an underground metro - metro Urban park - park

This foot traffic dataset offers detailed GPS-based mobility data from across the Asia region. Built for developers, urban analysts, and retail strategists, this data enables precise analysis of movement around key points of interest (POIs), districts, or regions.

Each GPS event contains:

Latitude and longitude coordinates Device ID (IDFA/GAID) Event timestamps in epoch and date format Country code Horizontal accuracy (85% fill rate) Optional IP address, carrier, and device model

The data is queryable via API by custom polygon areas, up to 10,000 tiles per request. Events can be delivered daily or hourly in Parquet, CSV, or JSON, through API or cloud endpoints (S3 or GCS). 95% of events are delivered within a 3-day lag, and data can be backfilled to September 2022.

This product is particularly well-suited for organizations operating in mobile-first Asia markets, where real-time traffic data can drive competitive advantage.

Qualitative Features:

High-resolution mobile movement around POIs Backfilled and real-time query capability Credit-based usage for scalability Compliant with global data privacy standards (GDPR, CCPA) Custom schema and delivery paths available

Use Cases:

Urban zoning and infrastructure investments Public transit and congestion planning DOOH advertising optimization Retail visitation benchmarking Location-based market entry strategy Audience mobility modeling for campaigns Disaster readiness and emergency planning

Survey ICT and e-commerce in enterprises Purpose and brief description The purpose of the data collection on the use of information and communication technologies in enterprises in our country is to gain a better insight into the IT infrastructure of these enterprises and to be able to compare these statistical data at European level. Furthermore, this survey is receiving a grant from Eurostat, the European statistical office. Population Enterprises belonging to sections B to N and P to S of the NACE rev.2. Frequency Annually Size of the sample Around 7,500 enterprises Definitions Broadband connection : fixed or mobile broadband connection to the Internet Internet connection via DSL : Internet connection via ADSL Employee computerised firm : Number of employees working in enterprises using computers Employee per connected firm : Number of employees working in an enterprise with an Internet connection Has a website : Has a website or a webportal Has Internet access : Has Internet access Mobile connection: Mobile connection to the Internet (broadband or other). Documents Glossary Survey form Survey form 2025 FR-NL.pdf Survey form 2024 FR-NL.pdf Survey form 2023 FR-NL.pdf Survey form 2022 FR-NL.pdf Survey form 2021 FR-NL.pdf Survey form 2020 FR-NL.pdf Survey form 2019 FR-NL.pdf Metadata ICT usage in enterprises and for e-commerce.pdf Survey ICT in enterprises.pdf

Ecommerce marketplace app Shopee started life out as a customer-to-customer marketplace, in the same vein as eBay, but over the past few years has remodelled itself as a b2c marketplace. That switch...

In 2024, the United States was the leading app market, with the Apple App Store and the Google App Store generating approximately 31 billion U.S. dollars of in-app revenues. China was the second-largest app market, as in-app revenues in the region generated approximately 17.34 billion U.S. dollars. Japan ranked third, as the region generated around 11.25 billion U.S. dollars in app revenues for the examined period.

Cart abandonment rates have been climbing steadily since 2014, after reaching an all-time high in 2013. In 2023, the share of online shopping carts that is being abandoned reached 70 percent for the first time since 2013. 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.

Digital wallets are expected to process nearly 78 billion U.S. dollars of online shppping transactions in Italy by 2028. This is according to hybrid research released in 2024, which - depending on the country - either used database modeling or data acquired via a consumer survey. Wallets ranked relatively high among Italy's most-used payment methods when shopping online. Indeed, more than 50 percent of Gen Z in Italy preferred mobile payments to other payment methods when ordering online.

Card-linked wallets are forecast to be the most used type of wallet in Canada in 2028, but their growth is not as fast as non-card-linked wallets. This is according to hybrid research released in 2024, which - depending on the country - either used database modelling or data acquired via a consumer survey. The market share of wallets in Canada was estimated to increase in the country during online shopping, while credit card may potentially experience some lost. Conversely, adoption of wallets in Canada was lower, though, when compared to other countries worldwide.

Card-linked wallets are forecast to be the main type of wallet in the U.S. in 2028, with a transaction value much higher than of non-card-linked wallets. This is according to hybrid research released in 2024, which - depending on the country - either used database modeling or data acquired via a consumer survey. The adoption of wallets in the United States ranks lower than of other countries in the world, especially compared to countries from Asia-Pacific.

Card-linked wallets are predicted to take up the vast majority of e-commerce spending conducted with digital wallets in the UK by 2028. This is according to hybrid research released in 2024, which - depending on the country - either used database modeling or data acquired via a consumer survey. Wallets ranked relatively high among the UK's most-used online payment methods. In contrast, the adoption of wallets in the UK was relatively lower, when compared to other countries worldwide.

The number of smartphone users in Morocco was forecast to continuously increase between 2024 and 2029 by in total 9.9 million users (+35.53 percent). After the eighteenth consecutive increasing year, the smartphone user base is estimated to reach 37.71 million users and therefore a new peak in 2029. Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of smartphone users in countries like Tunisia and Algeria.

Non-card-linked wallets are forecast to be the most used type of wallet in Spain in 2028, but their growth is not as fast as card-linked wallets. This is according to hybrid research released in 2024, which - depending on the country - either used database modeling or data acquired via a consumer survey. Digital wallets ranked first among Spain's most-used online payment methods. This is relatively surprising as the adoption of wallets in Spain was relatively low when compared to other countries worldwide.

During the first quarter of 2024, YouTube shorts recorded the highest engagement rate across all short video platforms and in-app features analyzed. Content hosted on YouTube in form of shorts had an engagement rate of 5.91 percent, while TikTok reported an engagement rate of approximately 5.75 percent. Facebook Reels had an engagement rate of around two percent, making the platform rank last for short-format user engagement.

As of April 2024, around 16.5 percent of global active Instagram users were men between the ages of 18 and 24 years. More than half of the global Instagram population worldwide was aged 34 years or younger.

              Teens and social media

              As one of the biggest social networks worldwide, Instagram is especially popular with teenagers. As of fall 2020, the photo-sharing app ranked third in terms of preferred social network among teenagers in the United States, second to Snapchat and TikTok. Instagram was one of the most influential advertising channels among female Gen Z users when making purchasing decisions. Teens report feeling more confident, popular, and better about themselves when using social media, and less lonely, depressed and anxious.
              Social media can have negative effects on teens, which is also much more pronounced on those with low emotional well-being. It was found that 35 percent of teenagers with low social-emotional well-being reported to have experienced cyber bullying when using social media, while in comparison only five percent of teenagers with high social-emotional well-being stated the same. As such, social media can have a big impact on already fragile states of mind.

In 2024, the e-commerce sector received a total of 203 funding deals in India. The deal count was the highest in 2022 at 300 deals. The e-commerce sector received about two billion U.S. dollars in funding during the same year.