The Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date imports using the Hi-Tech classification system. The Hi-Tech endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. If you have any questions regarding U.S. international trade data, please call us at 1(800)549-0595 option #4 or email us at eid.international.trade.data@census.gov.

The average for 2022 based on 138 countries was 21021.81 million U.S. dollars. The highest value was in China: 769699.28 million U.S. dollars and the lowest value was in Antigua and Barbuda: 0 million U.S. dollars. The indicator is available from 2007 to 2022. Below is a chart for all countries where data are available.

This is a list of ONVIF conformant products by Advanced Technology Video. Please note that ONVIF products are self-certified.

This list aims to assist enterprises in reviewing whether the trading parties are individuals or entities identified as high-risk for export control by various governments. Not only should the export control entity list be cross-referenced when exporting or re-exporting, it should also be checked when (1) foreign export control clients remit payments to domestic manufacturers and (2) when providing services to export control clients' products. Without prior government notification and obtaining an export license, all of the aforementioned transactions must be suspended. This dataset provides fields such as item number, name, address (optional), passport number, or vessel number (optional).

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

A complete list of live websites using the Advanced Product Fields For Woocommerce technology, compiled through global website indexing conducted by WebTechSurvey.

A complete list of live websites using the Advanced Product Search For Woo technology, compiled through global website indexing conducted by WebTechSurvey.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The global market size of LTE-Advanced (LTE-A) Mobile Technologies is $XX million in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million by the end of 2024 with a CAGR of XX% from 2019 to 2024.
Global LTE-Advanced (LTE-A) Mobile Technologies Market Report 2019 - Market Size, Share, Price, Trend and Forecast is a professional and in-depth study on the current state of the global LTE-Advanced (LTE-A) Mobile Technologies industry. The key insights of the report:
1.The report provides key statistics on the market status of the LTE-Advanced (LTE-A) Mobile Technologies manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
2.The report provides a basic overview of the industry including its definition, applications and manufacturing technology.
3.The report presents the company profile, product specifications, capacity, production value, and 2013-2018 market shares for key vendors.
4.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
5.The report estimates 2019-2024 market development trends of LTE-Advanced (LTE-A) Mobile Technologies industry.
6.Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out
7.The report makes some important proposals for a new project of LTE-Advanced (LTE-A) Mobile Technologies Industry before evaluating its feasibility.
There are 4 key segments covered in this report: competitor segment, product type segment, end use/application segment and geography segment.
For competitor segment, the report includes global key players of LTE-Advanced (LTE-A) Mobile Technologies as well as some small players. At least 12 companies are included:
* Alcatel-Lucent
* EE Limited
* Cisco
* Ericsson
* AT&T
* Huawei
For complete companies list, please ask for sample pages.
The information for each competitor includes:
* Company Profile
* Main Business Information
* SWOT Analysis
* Sales, Revenue, Price and Gross Margin
* Market Share

For product type segment, this report listed main product type of LTE-Advanced (LTE-A) Mobile Technologies market
* Coordinated Multi-Point Technology
* Relay Technology
* Carrier Aggregation Technology
* Other
For end use/application segment, this report focuses on the status and outlook for key applications. End users sre also listed.
* Mobile Video
* Connected Cars
* Cloud Applications
* IoT Applications
* Other

For geography segment, regional supply, application-wise and type-wise demand, major players, price is presented from 2013 to 2023. This report covers following regions:
* North America
* South America
* Asia & Pacific
* Europe
* MEA (Middle East and Africa)
The key countries in each region are taken into consideration as well, such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.

Reasons to Purchase this Report:
* Analyzing the outlook of the market with the recent trends and SWOT analysis
* Market dynamics scenario, along with growth opportunities of the market in the years to come
* Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects
* Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
* Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
* Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
* Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
* 1-year analyst support, along with the data support in excel format.
We also can offer customized report to fulfill special requirements of our clients. Regional and Countries report can be provided as well.

This dataset features only products from Ulta.com that include detailed ingredient lists, ideal for product transparency tools, clean label research, and beauty data modeling.

Designed for professionals and researchers working in beauty tech, compliance, formulation, and product analysis, it focuses on ingredient-rich listings for advanced use cases.

What’s Inside:

• Product Name

• Brand

• Full Ingredient List

• Category (e.g., Hair, Skin, Makeup)

• Product URL

• Price (if available)

• Description

• Images

• Date Extracted

Best For:

• Clean beauty app builders

• Ingredient risk assessment and allergen tracking

• Comparative cosmetic formulation

• Beauty AI and ML dataset training

• Ingredient transparency dashboards for e-commerce

Updates:

Available weekly or monthly or on request

U.S. Tariff Impact on Market

U.S. tariffs have a notable effect on the Supply Chain Analytics Market, particularly on the cost of imported hardware and software components crucial for analytics platforms. Tariffs on high-tech products, such as server hardware and advanced sensors, have increased operational costs for businesses that depend on these technologies for data processing and supply chain optimization.

➤➤➤ Get More Insights about US Tariff Impact Analysis @ https://market.us/report/supply-chain-analytics-market/free-sample/

For companies relying on international supply chains, tariffs also add complexity and increase the cost of goods, further impacting the pricing of supply chain analytics solutions. As a result, the market may see a delay in widespread adoption, particularly for small-to-medium enterprises (SMEs) that face tighter budget constraints.

U.S. Tariff Impact Percentage

• The impact on technology-related sectors, such as hardware for data analytics and software, is expected to be in the range of 10-15%, influencing cost structures and product pricing.
• Retail and e-commerce industries, which dominate the sector, are expected to see a tariff impact of 5-10% due to higher costs for imported tech solutions.

Economic Impact

The imposition of U.S. tariffs on technology hardware and software components used in supply chain analytics is expected to raise costs, potentially delaying the adoption of advanced analytics solutions. This price increase could reduce the market's growth rate in the short term, particularly among SMEs with limited budgets for technology upgrades.

Geographical Impact

U.S. tariffs are particularly impactful in North America, where companies are highly dependent on imported technology for their supply chain analytics operations. The increased cost of hardware and software could slow down the adoption of innovative solutions, affecting the overall growth in the region and potentially reducing North America's market dominance.

Business Impact

The business impact of U.S. tariffs on supply chain analytics is significant, as companies face higher operational costs due to increased technology prices. This may lead to delays in adopting advanced solutions, particularly for small-to-medium businesses. Larger enterprises may absorb these costs, but they could still limit profit margins and overall efficiency.

Net-a-Porter web scraped data

  About the website

In the Asia Pacific region, particularly India, retail industries are witnessing a significant digital transformation. The Ecommerce industry is particularly flourishing, revolutionised by advanced technology, the proliferation of smartphones, and improved internet infrastructure. The online fashion retail sector is a key player in this surge, making a strong foothold in the world of Ecommerce. Net-a-Porter, a premier luxury… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Net.a.Porter.Product.prices.India.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

A complete list of live websites using the Advanced Woocommerce Product Gallery Slider technology, compiled through global website indexing conducted by WebTechSurvey.

In May 2025, Chinese exports amounted to around ***** billion U.S. dollars. This indicated an increase in exports compared to the same period of the previous year. Export trade in China China overtook the United States as the world’s largest trading nation in 2013. In the years that followed, the country remained one of the strongest players in global and regional trade. According to the IMF, China’s total gross domestic product (GDP) had ranged at around ***** trillion U.S. dollars in 2024. Thus, exports of goods had accounted for more than a third of China’s total economic output that year. In 2024, China’s trade surplus amounted to *** billion U.S. dollars. Since the implementation of various reform strategies in 1979, China’s economic development has largely profited from its export-led growth strategy. In 2024, the most important export partner for China was ASEAN. Automatic data processing machines, integrated circuits, and clothes were among China’s main export goods. It is noticeable that China’s comparative advantage nowadays lies not only in labor-intensive manufactured goods. Over the past years, China has steadily moved up the global value chain by increasing the export share of high technology products such as computers and power devices. China has been frequently accused of currency manipulation by other countries. The country is criticized for deliberately keeping its currency yuan undervalued, to give Chinese goods export advantages.

Prada web scraped data

  About the website

Prada operates in the high-end fashion industry in the Asia Pacific region, particularly in Hong Kong. This industry in Asia Pacific is notable for its rapid growth and great potential due to increasing income level and changing consumption behavior. Hong Kong is a prominent hub for luxury retail markets, which gives Prada a strategic advantage. With the rise of advanced technology and increasing use of digital platforms in this… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Prada.Product.prices.Hong.Kong.

Recent USDA/ARS patented technologies on food processing and products that are available for licensing are described, including summary, contact, benefits, and applications. Updated June 2018. Resources in this dataset:Resource Title: Food Processing and Products - Available Technologies, June 2018. File Name: Food Processing and Products.pptxResource Description: Slides presenting title, contact, docket number(s), description, image, benefits, and applications of each new technology.Resource Title: Patented Technologies Data Dictionary. File Name: patented-technologies-data-dictionary.csvResource Description: Defines fields, data type, allowed values etc. in patented technology tables.Resource Title: Patented Food Processing and Products - June 2018. File Name: Food_Processing_and_Products.csvResource Description: Listing of technologies and processes to transfer raw ingredients into food or other food forms, and technologies to ensure that the food supply is safe for consumers. This CSV file provides the title, technology type, docket number, contact, description, and category for each item. Machine-readable content extracted from corresponding slides accompanying this dataset.

File Name: Food Processing and Products.pptxResource Description: Slides presenting title, contact, docket number(s), description, image, benefits, and applications of each new technology.Resource Title: Patented Technologies Data Dictionary. File Name: patented-technologies-data-dictionary.csvResource Description: Defines fields, data type, allowed values etc. in patented technology tables.Resource Title: Patented Food Processing and Products - June 2018. File Name: Food_Processing_and_Products.csvResource Description: Listing of technologies and processes to transfer raw ingredients into food or other food forms, and technologies to ensure that the food supply is safe for consumers. This CSV file provides the title, technology type, docket number, contact, description, and category for each item. Machine-readable content extracted from corresponding slides accompanying this dataset.

Altosight | AI-Powered Amazon Data, eBay Data & More | Global Marketplace Insights

✦ Altosight offers robust, AI-powered Amazon Data services that provide deep insights into product listings, reviews, prices, and sales trends.

✦ Amazon Reviews Data, eBay Data, Alibaba Data, and AliExpress Data are also covered, giving businesses the tools they need to make data-driven decisions across the world’s largest marketplaces.

Our Amazon Data encompasses a broad range of publicly available information from Amazon’s marketplace, which can be used to improve customer experience, personalize recommendations, optimize operations, and drive business success.

With unlimited free data points, fast delivery, and no setup costs, Altosight provides unparalleled flexibility and efficiency.

➤ We offer multiple data delivery options including API, CSV, JSON, and FTP, ensuring seamless integration into your business processes at no additional charge.

― Key Use Cases ―

➤ Marketplace Expansion & Product Assortment Optimization

🔹 Identify gaps in your product offerings by comparing competitor inventories with Alibaba Data, Amazon Data, and eBay Data.

🔹 Expand your product catalog by analyzing trends in best-sellers, emerging products, and market demand.

🔹 Use Digital Shelf Data to track product placements, best-seller rankings, and availability across major marketplaces to optimize your digital shelf space.

➤ Customer Sentiment & Product Review Analysis

🔹 Leverage Amazon Reviews Data to understand customer feedback, identify common complaints, and highlight product strengths.

🔹 Analyze AliExpress Data to track seller ratings and customer reviews, providing insights into consumer sentiment across different marketplaces.

🔹 Use these insights to refine product offerings, improve customer satisfaction, and enhance your brand’s reputation.

➤ Competitive Price Monitoring & Dynamic Repricing

🔹 Track product prices across Amazon, eBay, Alibaba, and AliExpress to ensure you remain competitive in the marketplace.

🔹 Use Amazon Data and eBay Data for real-time insights into competitor pricing and discounts.

🔹 Implement dynamic repricing strategies to react to price changes in real-time, ensuring your products always stay competitively priced.

➤ Product Sourcing & Wholesaler Opportunities

🔹 Use Alibaba Data and AliExpress Data to uncover new product opportunities and identify potential wholesalers.

🔹 Discover trending products to source for your business and form partnerships with reliable suppliers, streamlining your supply chain and business growth.

➤ Market Trend Identification & Forecasting

🔹 Use Alibaba Data and AliExpress Data to identify emerging trends in consumer behavior, product categories, and price fluctuations.

🔹 Conduct comprehensive market research to forecast product demand and industry trends based on historical data from Amazon and other marketplaces.

🔹 Stay ahead of market changes by leveraging real-time data for strategic decision-making, product launches, and marketing initiatives.

➤ Retailer & Brand Performance Tracking

🔹 Track the performance of specific retailers or brands across Amazon, eBay, Alibaba, and AliExpress using detailed sales and review data.

🔹 Monitor how frequently products move up or down in rankings, providing valuable insights for brand positioning and marketing effectiveness.

🔹 Analyze which retailers sell particular brands and products, helping businesses identify new partnerships or distribution opportunities.

― Data Collection & Quality ―

✔ Publicly Sourced Data: Altosight collects Amazon Data, Amazon Reviews Data, eBay Data, Alibaba Data, and AliExpress Data from publicly available sources. This includes product information, transaction data, reviews, and other valuable data points that are essential for making informed business decisions.

✔ AI-Powered Scraping: Our AI-driven technology handles CAPTCHAs, dynamic content, and JavaScript-heavy websites to ensure continuous and accurate data collection. We extract and structure Amazon Reviews Data, Digital Shelf Data, and other relevant marketplace data for easy integration into your existing systems.

✔ High-Quality Data: Altosight ensures all data is cleaned, structured, and ready for use, with high accuracy and reliability. Our solutions are ideal for market research, competitor analysis, and operational optimization.

― Why Choose Altosight? ―

✔ Unlimited Data Points: Altosight offers unlimited free data points, allowing you to extract as many product attributes or sales data as needed without additional charges. This ensures cost-effectiveness while maintaining access to all the insights you require.

✔ Proprietary Anti-Blocking Technology: Our proprietary scraping technology ensures continuous access to Amazon Data, eBay Data, Alibaba Data, and AliExpress Data by bypassing CAPTCHAs, Cloudflare, and other blocking mechanisms.

✔ Custom & R...

Catalog Management Market Outlook

The global catalog management market size is projected to experience significant growth, with an estimated market value reaching approximately USD 5.6 billion by 2032, up from USD 2.1 billion in 2023, reflecting a robust compound annual growth rate (CAGR) of 11.3% over the forecast period. This impressive growth can be attributed to several key factors, including the increasing demand for streamlined business operations and the rising adoption of digital solutions across various industry sectors. As organizations strive to enhance their operational efficiency and customer experience, the integration of sophisticated catalog management systems is becoming increasingly essential.

One of the primary growth factors driving the catalog management market is the rapid digital transformation occurring across industries. Businesses are increasingly adopting digital catalog solutions to manage and organize their extensive product portfolios efficiently. This shift is driven by the need for real-time data accessibility and improved inventory management, which ultimately enhances customer satisfaction and operational agility. Moreover, the rise of e-commerce and online retail platforms has further fueled the demand for advanced catalog management solutions, enabling companies to present their products and services more effectively to a global audience.

Another significant factor contributing to the market's growth is the increasing focus on personalized customer experiences. Companies are leveraging catalog management systems to offer tailored product recommendations, pricing, and promotions, catering to the unique preferences of individual customers. This personalized approach not only enhances customer engagement and loyalty but also drives sales and revenue growth. Additionally, the integration of artificial intelligence and machine learning technologies within catalog management systems is enabling businesses to gain deeper insights into customer behavior and preferences, facilitating more informed decision-making processes.

The proliferation of cloud-based solutions is also playing a crucial role in the expansion of the catalog management market. Cloud deployments offer numerous benefits, such as scalability, flexibility, and cost-effectiveness, making them an attractive option for businesses of all sizes. As more organizations recognize the advantages of cloud-based catalog management solutions, the demand for these services is expected to surge, further propelling market growth. Additionally, cloud solutions enable seamless integration with existing enterprise systems, ensuring a smooth transition and minimal disruption to business operations.

From a regional perspective, North America currently leads the catalog management market, driven by the early adoption of advanced technologies and the presence of prominent market players in the region. However, the Asia Pacific region is anticipated to exhibit the highest growth rate during the forecast period, owing to the rapid digitalization and increasing investment in IT infrastructure across emerging economies such as China and India. The expanding e-commerce landscape and the rise of tech-savvy consumers in this region are further fueling the demand for innovative catalog management solutions.

Component Analysis

The catalog management market is segmented into software and services components, each playing a vital role in the overall market dynamics. The software component encompasses various solutions designed to streamline the creation, management, and distribution of product catalogs. These solutions are equipped with features such as data import/export functions, bulk editing capabilities, and integration with various sales channels, enabling businesses to manage their product information more efficiently. The increasing demand for software solutions can be attributed to the growing need for automation and the desire to enhance operational efficiency across all business functions.

The services component, on the other hand, comprises consulting, implementation, and support services that assist organizations in deploying and maintaining their catalog management systems. These services are essential for ensuring the seamless integration of catalog management solutions with existing enterprise systems and optimizing their performance. As businesses increasingly recognize the value of expert guidance and support in maximizing the benefits of their catalog management investments, the demand for professional services is on the rise. This trend is further reinforced by the ongoing advanc