In 2024, marketplaces were the primary source for starting to search for products online worldwide. According to a survey, roughly * out of 10 online shoppers searched for products through this channel. Browsing in-store ranked second, with ** percent of respondents, followed by brand websites. Popularity contest Online shopping has become increasingly popular globally. In various countries, including the United Kingdom, the United States, Germany, and many others, consumers have stated that they prefer to shop online rather than in-store. On a weekly basis, however, in European countries, offline shopping is still more popular among consumers. Germany had the largest share of weekly online shoppers, with ** percent of consumers. The preference for online shopping also depends on the product category and shopping events occurring at the time. Over ** percent of consumers prefer to use the internet over in-store shopping to complete their holiday and entertainment purchases. It is a preference While marketplaces are the primary source for consumers to search for products online, they are also the leading source for online shopping inspiration in 2024. Around ** percent of global consumers expressed their preference for marketplaces over any other online channel as a source of inspiration for their upcoming purchases. Consumers in different regions in the world tend to prefer different marketplaces, with consumers in Europe, the United States, and the United Kingdom preferring to use Amazon. The most visited marketplace in China was Taobao, Alibaba's B2C e-commerce platform. In Latin America, consumers use the local online marketplace Mercado Libre.

In most cases, online product search doesn't start on Google. In 2022, only ** percent of Italian shoppers reported to have looked for a product on the search engine. The remaining ** percent browsed on Amazon. Likewise, ** percent of Spanish shoppers looked for products on Amazon website and ** percent of German respondents did the same.

Across all product categories, Amazon was the place where online shoppers in the United States most often began searching for specific products in 2022. For household products, ** percent of shoppers reported beginning their searching on the e-commerce giant's platform. Additionally, ** percent started their household item searches on Walmart's online platform. Fashion e-commerce in the U.S. The internet, social media, and the proliferation of inexpensive clothing have opened doors to U.S. fashion e-commerce like never before. The U.S. apparel, footwear, and accessories retail e-commerce market is worth a remarkable *** billion U.S. dollars, according to 2021 estimates, and it is set to surpass the *** billion dollar mark by 2025. Millennials shaping the future of U.S. e-commerce In general, Millennials are hyper-connected and better educated than previous generations. Over the past decade, they have become the largest generation group in the U.S. Also known as Generation Y, Millennials are more tech-savvy consumers than their antecessors. In 2019, people born between 1983 and 1998 were found to be more influenced by bloggers when buying apparel than previous generations. Millennials also outrank Gen X-ers and baby boomers in digital buyer penetration in the United States, with over ** percent as of ********.

The product search track focuses on IR tasks in the world of product search and discovery. This track seeks to understand what methods work best for product search, improve evaluation methodology, and provide a reusable dataset which allows easy benchmarking in a public forum.

This dataset provides comprehensive access to product search results from Google Shopping in real-time. Search and compare products, offers, and reviews across multiple major retailers and sources. Perfect for e-commerce applications, price comparison tools, and product discovery platforms. The dataset is delivered in a JSON format via REST API.

As of the second quarter of 2023, globally, the channel in which consumers started their online shopping journey was search engines. A total ** percent of shoppers worldwide used search engines such as Google to begin searching for products, while ** percent opted to start the shopping journey using a specific online store.

trec-product-search/Product-Search-Triples dataset hosted on Hugging Face and contributed by the HF Datasets community

trec-product-search/product-search-2024-queries dataset hosted on Hugging Face and contributed by the HF Datasets community

Real-time product search trends and consumer demand analytics across Amazon's marketplace with category and geographic granularity for institutional investment research.

This dataset contains a list of products that carry the Design for the Environment (DfE) label. This mark enables consumers to quickly identify and choose products that can help protect the environment and are safer for families. When you see the DfE logo on a product it means that the DfE scientific review team has screened each ingredient for potential human health and environmental effects and that-based on currently available information, EPA predictive models, and expert judgment-the product contains only those ingredients that pose the least concern among chemicals in their class. Product manufacturers who become DfE partners, and earn the right to display the DfE logo on recognized products, have invested heavily in research, development and reformulation to ensure that their ingredients and finished product line up on the green end of the health and environmental spectrum while maintaining or improving product performance. EPA's Design for the Environment Program (DfE) has allowed use of their logo on over 2500 products. These products are formulated from the safest possible ingredients and have reduced the use of "chemicals of concern" by hundreds of millions of pounds.

trec-product-search/Product-Search-Qrels-v0.1 dataset hosted on Hugging Face and contributed by the HF Datasets community

Between March and August 2024, supplements and vitamins were the most popular product category for Gen Z Italian shoppers. Monthly online searches of this product category amounted to *********, only followed by smartphones at ******* online searches. Gen Z shoppers searched for health products ******* times on average in a month.

In 2024, three in ten global consumers preferred to search for luxury items via online marketplaces. Around ** percent of respondents used brand websites, and roughly ** percent admitted to preferring retailer sites to find luxury products.

Product Labels approved by TABC before Sept 1, 2021. Learn more about this data and how to search it at https://www.tabc.texas.gov/public-information/approved-labels-search/.

Here are a few use cases for this project:

1. Smart Recycling and Waste Management: Use the "Có Gì Dùng Nấy" computer vision model to identify and sort various types of bottles and containers at recycling centers or waste management facilities, ensuring that materials are properly separated and recycled.

2. Smart Inventory Management: Implement the model in retail stores, warehouses, or supermarkets to automatically monitor and track the stock levels of different products (bocalex, oil bottle, vinamilk, chinsu, strongbow, traxanhkhongdo, aquafina, hanhnhan, life-buoy, X-men, 4D_medical_face-mask), helping businesses maintain optimal inventory levels and reduce the need for manual counting.

3. Automated Checkout Systems: Integrate the "Có Gì Dùng Nấy" model into self-checkout systems at grocery stores, allowing customers to easily scan and pay for their items without manually entering product information. This can reduce wait times and improve the shopping experience.

4. eCommerce Product Recognition: Use the model to enhance product search and recommendation features on eCommerce platforms. When users upload images of products they are interested in, the platform can accurately identify the product and suggest similar items or related product categories.

5. Accessible Product Information for Visually Impaired Users: Leverage the "Có Gì Dùng Nấy" model to create accessible product information for visually impaired users through a mobile app or smart device. By recognizing product labels and containers, the app can provide users with detailed information about the item, such as ingredients, usage instructions, and safety warnings.

Ecommerce Search Platform Market size was valued at USD 2 Billion in 2023 and is projected to reach USD 2.5 Billion by 2031, growing at a CAGR of 20% during the forecasted period 2024 to 2031.

Global Ecommerce Search Platform Market Drivers

The market drivers for the Ecommerce Search Platform Market can be influenced by various factors. These may include:

• Increased Online Shopping: The rapid growth of e-commerce and the increasing number of online shoppers have created a demand for efficient search platforms that help users find products quickly and easily. • Technological Advancements: Innovations in AI and machine learning are enhancing the capabilities of e-commerce search platforms, enabling more personalized and accurate search results, which improves the overall user experience.

Global Ecommerce Search Platform Market Restraints

Several factors can act as restraints or challenges for the Ecommerce Search Platform Market. These may include:

• High Implementation Costs: Deploying and maintaining advanced e-commerce search platforms can be expensive, particularly for small and medium-sized enterprises (SMEs). This includes costs associated with software licenses, integration, customization, and ongoing maintenance. • Complex Integration Processes: Integrating e-commerce search platforms with existing systems, such as inventory management, customer relationship management (CRM), and enterprise resource planning (ERP) systems, can be complex and time-consuming. This can deter businesses from adopting such platforms.

The search engine market is projected to be valued at $150 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 5.5%, reaching approximately $250 billion by 2034.

As of May 2023, the most popular channel where U.S. shoppers research or buy beauty products they've never purchased before is a specialty beauty retailer’s website, with ** percent of respondents going that route. Brand websites followed on the list with ** percent of respondents, and Amazon was right behind them with ** percent.

The COVID-19 Search Trends symptoms dataset shows aggregated, anonymized trends in Google searches for a broad set of health symptoms, signs, and conditions. The dataset provides a daily or weekly time series for each region showing the relative volume of searches for each symptom. This dataset is intended to help researchers to better understand the impact of COVID-19. It shouldn't be used for medical diagnostic, prognostic, or treatment purposes. It also isn't intended to be used for guidance on personal travel plans. To learn more about the dataset, how we generate it and preserve privacy, read the data documentation . To visualize the data, try exploring these interactive charts and map of symptom search trends . As of Dec. 15, 2020, the dataset was expanded to include trends for Australia, Ireland, New Zealand, Singapore, and the United Kingdom. This expanded data is available in new tables that provide data at country and two subregional levels. We will not be updating existing state/county tables going forward. All bytes processed in queries against this dataset will be zeroed out, making this part of the query free. Data joined with the dataset will be billed at the normal rate to prevent abuse. After September 15, queries over these datasets will revert to the normal billing rate. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

In France, millennials are the most likely to search for product information through online marketplaces. According to a survey conducted in the first months of 2022, about 13 percent of French shoppers between 26 and 41 years old start the purchasing process through this shopping channel.