Comprehensive dataset containing 32,524 verified E-commerce service businesses in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 90 verified E-commerce service businesses in Montana, United States with complete contact information, ratings, reviews, and location data.

Objectives:

• I leveraged advanced data visualization techniques to extract valuable insights from a comprehensive dataset. By visualizing sales patterns, customer behavior, and product trends, I identified key growth opportunities and provided actionable recommendations to optimize business strategies and enhance overall performance. you can find the GitHub repo here Link to GitHub Repository.

Data Description:

there are exactly 6 table and 1 is a fact table and the rest of them are dimension tables: Fact Table:

payment_key:
  Description: An identifier representing the payment transaction associated with the fact.
  Use Case: This key links to a payment dimension table, providing details about the payment method and related information.

customer_key:
  Description: An identifier representing the customer associated with the fact.
  Use Case: This key links to a customer dimension table, providing details about the customer, such as name, address, and other customer-specific information.

time_key:
  Description: An identifier representing the time dimension associated with the fact.
  Use Case: This key links to a time dimension table, providing details about the time of the transaction, such as date, day of the week, and month.

item_key:
  Description: An identifier representing the item or product associated with the fact.
  Use Case: This key links to an item dimension table, providing details about the product, such as category, sub-category, and product name.

store_key:
  Description: An identifier representing the store or location associated with the fact.
  Use Case: This key links to a store dimension table, providing details about the store, such as location, store name, and other store-specific information.

quantity:
  Description: The quantity of items sold or involved in the transaction.
  Use Case: Represents the amount or number of items associated with the transaction.

unit:
  Description: The unit or measurement associated with the quantity (e.g., pieces, kilograms).
  Use Case: Specifies the unit of measurement for the quantity.

unit_price:
  Description: The price per unit of the item.
  Use Case: Represents the cost or price associated with each unit of the item.

total_price:
  Description: The total price of the transaction, calculated as the product of quantity and unit price.
  Use Case: Represents the overall cost or revenue generated by the transaction.

Customer Table: customer_key:

Description: An identifier representing a unique customer.
Use Case: Serves as the primary key to link with the fact table, allowing for easy and efficient retrieval of customer-specific information.

name:

Description: The name of the customer.
Use Case: Captures the personal or business name of the customer for identification and reference purposes.

contact_no:

Description: The contact number associated with the customer.
Use Case: Stores the phone number or contact details for communication or outreach purposes.

nid:

Description: The National ID (NID) or a unique identification number for the customer.

Item Table: item_key:

Description: An identifier representing a unique item or product.
Use Case: Serves as the primary key to link with the fact table, enabling retrieval of detailed information about specific items in transactions.

item_name:

Description: The name or title of the item.
Use Case: Captures the descriptive name of the item, providing a recognizable label for the product.

desc:

Description: A description of the item.
Use Case: Contains additional details about the item, such as features, specifications, or any relevant information.

unit_price:

Description: The price per unit of the item.
Use Case: Represents the cost or price associated with each unit of the item.

man_country:

Description: The country where the item is manufactured.
Use Case: Captures the origin or manufacturing location of the item.

supplier:

Description: The supplier or vendor providing the item.
Use Case: Stores the name or identifier of the supplier, facilitating tracking of item sources.

unit:

Description: The unit of measurement associated with the item (e.g., pieces, kilograms).

Store Table: store_key:

Description: An identifier representing a unique store or location.
Use Case: Serves as the primary key to link with the fact table, allowing for easy retrieval of information about transactions associated with specific stores.

division:

Description: The administrative division or region where the store is located.
Use Case: Captures the broader geographical area in which...

Success.ai’s Ecommerce Market Data for South-east Asia E-commerce Contacts provides a robust and accurate dataset tailored for businesses and organizations looking to connect with professionals in the fast-growing e-commerce industry across South-east Asia. Covering roles such as e-commerce managers, digital strategists, logistics experts, and online marketplace leaders, this dataset offers verified contact details, professional insights, and actionable market data.

With access to over 170 million verified profiles globally, Success.ai ensures your outreach, marketing, and research strategies are powered by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to excel in one of the world’s most dynamic e-commerce regions.

Why Choose Success.ai’s Ecommerce Market Data?

1. Verified Contact Data for Precision Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of e-commerce professionals across South-east Asia.
   • AI-driven validation ensures 99% accuracy, reducing communication inefficiencies and enhancing engagement rates.

2. Comprehensive Coverage of South-east Asia’s E-commerce Market

   • Includes professionals from key e-commerce hubs such as Singapore, Indonesia, Thailand, Vietnam, Malaysia, and the Philippines.
   • Gain insights into regional consumer trends, logistics challenges, and online marketplace dynamics.

3. Continuously Updated Datasets

   • Real-time updates capture changes in professional roles, company expansions, and market conditions.
   • Stay aligned with industry trends and emerging opportunities in South-east Asia’s e-commerce sector.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 170M+ Verified Global Profiles: Engage with e-commerce professionals and decision-makers across South-east Asia.
• Verified Contact Details: Gain work emails, phone numbers, and LinkedIn profiles for precision targeting.
• Regional Insights: Understand key trends in e-commerce, logistics, and consumer preferences in South-east Asia.
• Leadership Insights: Connect with online marketplace leaders, logistics managers, and digital marketing professionals driving innovation in the sector.

Key Features of the Dataset:

1. Comprehensive Professional Profiles in E-commerce

   • Identify and connect with professionals managing e-commerce platforms, online marketplaces, and logistics operations.
   • Target individuals responsible for digital marketing, supply chain management, and e-commerce strategies.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (apparel, electronics, food delivery), geographic location, or job function.
   • Tailor campaigns to align with specific business goals, such as logistics optimization, consumer engagement, or market entry.

3. Regional and Market-specific Insights

   • Leverage data on e-commerce trends, regional consumer behaviors, and logistics challenges unique to South-east Asia.
   • Refine marketing strategies and business plans based on actionable insights from the region.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Marketing Campaigns and Digital Outreach

   • Promote e-commerce solutions, logistics services, or online marketing tools to professionals in South-east Asia’s e-commerce industry.
   • Use verified contact data for multi-channel outreach, including email, phone, and digital campaigns.

2. Market Research and Competitive Analysis

   • Analyze e-commerce trends and consumer preferences across South-east Asia to refine product offerings and marketing strategies.
   • Benchmark against competitors to identify growth opportunities and high-demand solutions.

3. Partnership Development and Vendor Collaboration

   • Build relationships with e-commerce platforms, logistics providers, and digital marketing agencies exploring strategic partnerships.
   • Foster collaborations that enhance consumer experiences, improve delivery efficiency, or expand market reach.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers in the e-commerce industry seeking candidates for logistics, digital marketing, and platform management roles.
   • Provide workforce optimization platforms or training solutions tailored to the sector.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality e-commerce market data at competitive prices, ensuring strong ROI for your marketing, sales, and business development initiatives.

2. Seamless Integration

   • Integrate verified e-commerce data into CRM systems, analytics ...

United States E-Commerce Transactions: Value: Business & Consumer Services: Business & Consumer Services data was reported at 1,676,722.826 USD in 10 May 2025. This records a decrease from the previous number of 13,554,536.557 USD for 09 May 2025. United States E-Commerce Transactions: Value: Business & Consumer Services: Business & Consumer Services data is updated daily, averaging 15,672,474.805 USD from Dec 2018 (Median) to 10 May 2025, with 2318 observations. The data reached an all-time high of 57,168,201.828 USD in 02 Dec 2024 and a record low of 188,131.518 USD in 09 Mar 2019. United States E-Commerce Transactions: Value: Business & Consumer Services: Business & Consumer Services data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s United States – Table US.GI.EC: E-Commerce Transactions: by Category.

Success.ai’s Ecommerce Store Data for the APAC E-commerce Sector provides a reliable and accurate dataset tailored for businesses aiming to connect with e-commerce professionals and organizations across the Asia-Pacific region. Covering roles and businesses involved in online retail, marketplace management, logistics, and digital commerce, this dataset includes verified business profiles, decision-maker contact details, and actionable insights.

With access to continuously updated, AI-validated data and over 700 million global profiles, Success.ai ensures your outreach, market analysis, and partnership strategies are effective and data-driven. Backed by our Best Price Guarantee, this solution helps you excel in one of the world’s fastest-growing e-commerce markets.

Why Choose Success.ai’s Ecommerce Store Data?

1. Verified Profiles for Precision Engagement

   • Access verified profiles, business locations, employee counts, and decision-maker details for e-commerce businesses across APAC.
   • AI-driven validation ensures 99% accuracy, improving engagement rates and reducing outreach inefficiencies.

2. Comprehensive Coverage of the APAC E-commerce Sector

   • Includes businesses from major e-commerce hubs such as China, India, Japan, South Korea, Australia, and Southeast Asia.
   • Gain insights into regional e-commerce trends, digital transformation efforts, and logistics innovations.

3. Continuously Updated Datasets

   • Real-time updates ensure that business profiles, employee roles, and operational insights remain accurate and relevant.
   • Stay aligned with dynamic market conditions and emerging opportunities in the APAC region.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Access business profiles for e-commerce professionals and organizations across APAC.
• Firmographic Insights: Gain detailed information, including business locations, employee counts, and operational details.
• Decision-maker Profiles: Connect with key e-commerce leaders, managers, and strategists driving online retail innovation.
• Industry Trends: Understand emerging e-commerce trends, consumer behavior, and market dynamics in the APAC region.

Key Features of the Dataset:

1. Comprehensive E-commerce Business Profiles

   • Identify and connect with businesses specializing in online retail, marketplace management, and digital commerce logistics.
   • Target decision-makers involved in supply chain optimization, digital marketing, and platform development.

2. Advanced Filters for Precision Campaigns

   • Filter businesses and professionals by industry focus (fashion, electronics, grocery), geographic location, or employee size.
   • Tailor campaigns to address specific goals, such as promoting technology adoption, enhancing customer engagement, or expanding supply chains.

3. Regional and Sector-specific Insights

   • Leverage data on APAC’s fast-growing e-commerce markets, consumer purchasing trends, and regional challenges.
   • Refine your marketing strategies and outreach efforts to align with market priorities.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Marketing Campaigns and Outreach

   • Promote e-commerce solutions, logistics services, or digital commerce tools to businesses and professionals in the APAC region.
   • Use verified contact data for multi-channel outreach, including email, phone, and social media campaigns.

2. Partnership Development and Vendor Collaboration

   • Build relationships with e-commerce marketplaces, logistics providers, and payment solution companies seeking strategic partnerships.
   • Foster collaborations that drive operational efficiency, enhance customer experiences, or expand market reach.

3. Market Research and Competitive Analysis

   • Analyze regional e-commerce trends, consumer preferences, and logistics challenges to refine product offerings and business strategies.
   • Benchmark against competitors to identify growth opportunities and high-demand solutions.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers in the e-commerce industry recruiting for roles in operations, logistics, and digital marketing.
   • Provide workforce optimization platforms or training solutions tailored to the digital commerce sector.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality e-commerce store data at competitive prices, ensuring strong ROI for your marketing, sales, and strategic initiatives.

2. Seamless Integration

   • Integrate verified e-commerce data into CRM systems, analytics platforms, or market...

Comprehensive dataset containing 644 verified E-commerce service businesses in Maryland, United States with complete contact information, ratings, reviews, and location data.

Enhance your business strategies with our Verified eCommerce Data Solutions, drawn from a vast pool of profiles and company records. Our data is meticulously curated for businesses focused on eCommerce leads data, eCommerce company data, eCommerce market data, and eCommerce merchant data, providing a robust foundation for lead generation, recruitment, and targeted B2B marketing.

Our eCommerce data offerings are designed to integrate seamlessly into your operations. Whether you're enriching your CRM systems with recent contact information, identifying email addresses for targeted outreach, or exploring market dynamics through comprehensive data, we empower you to make informed decisions. Each data point comes with valuable insights, enabling you to tailor your approach effectively.

Key Features:

Global Reach: Access data from a broad spectrum of industries worldwide, including significant market insights within key regions.

Real-Time Updates: Profiles are updated daily, ensuring your data remains current and actionable for rapid business decision-making.

AI-Verified Accuracy: Benefit from our commitment to rigorous validation processes, delivering a dataset with an impressive 99% accuracy guarantee.

Ethical Data Sourcing: Our adherence to GDPR and global privacy standards ensures responsible and compliant data usage.

Tailored Data Solutions: Our custom services allow for personalized data delivery that meets your specific business needs, eliminating complex processes.

Why Choose Us?

Best Price Guarantee: We proudly present the most competitive prices in the market, ensuring you get maximum value for your investment in eCommerce data.

Comprehensive Coverage: From detailed eCommerce leads to extensive company profiles, we address all your data requirements.

Flexible Data Integration: Enjoy effortless data integration compatible with your existing systems, enhancing efficiency and productivity.

Dedicated Support: Our Success Managers offer unparalleled assistance, managing the data curation and delivery process for you.

Key Use Cases:

Sales Prospecting: Utilize our eCommerce leads data to create precise lead lists and effectively engage with decision-makers.

Recruitment: Attract top talent by accessing up-to-date information on eCommerce-related employees.

Account-Based Marketing (ABM): Leverage detailed firmographic and market data to craft personalized marketing campaigns targeting key accounts.

Market Research: Harness eCommerce market data to gain insights into trends and competitor strategies within the industry.

CRM Enrichment: Keep your CRM continuously updated with real-time data, ensuring the relevance and accuracy of your sales and marketing tools.

Transform your business approach with our Verified eCommerce Data Solutions. Contact us to customize your dataset and take advantage of our Best Price Guarantee alongside our specialized personal service—designed to elevate your business to new heights.

Remember, we stand by our promise: No one beats us on price. Period.

Snapshot img

The e-commerce technology market share is expected to increase by USD 10.57 billion from 2020 to 2025, and the market’s growth momentum will accelerate at a CAGR of 19.07%.

This e-commerce technology market research report provides valuable insights on the post-COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers e-commerce technology market segmentation by application (B2C and B2B) and geography (North America, APAC, Europe, South America, and MEA). The e-commerce technology market report also offers information on several market vendors, including Adobe Inc., BigCommerce Holdings Inc., commercetools GmbH, HCL Technologies Ltd., Open Text Corp., Oracle Corp., Pitney Bowes Inc., Salesforce.com Inc., SAP SE, and Shopify Inc. among others.

What will the E-Commerce Technology Market Size be During the Forecast Period?

Download Report Sample to Unlock the e-Commerce Technology Market Size for the Forecast Period and Other Important Statistics

E-Commerce Technology Market: Key Drivers, Trends, and Challenges

The increasing e-commerce sales are notably driving the e-commerce technology market growth, although factors such as growing concerns over data privacy and security may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic's impact on the e-commerce technology industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key E-Commerce Technology Market Driver

One of the key factors driving the e-commerce technology market is increasing e-commerce sales. The e-commerce industry is progressing quickly, owing to various factors, such as the growing tech-savvy population, increasing Internet penetration, and the rising use of smartphones. The demand for globally manufactured products is also fueling growth by generating cross-border e-commerce sales. Furthermore, the presence of various multiple payment options, such as credit and debit cards, Internet banking, electronic wallets, and cash-on-delivery (COD), has led to a paradigm shift in the purchasing patterns of people from brick-and-mortar stores to online shopping. Also, e-commerce platforms not only enable consumers to buy goods easily as they do not have the physical barriers involved in offline stores but also help them in making better and more informed decisions, as consumers can view multiple user reviews on the website before purchasing a product. The growth of the e-commerce sector directly impacts the e-commerce technology market. All these factors have increased the demand for e-commerce software and services from end-users. Hence, the growth of the e-commerce industry will boost the growth of the global e-commerce technology market during the forecast period.

Key E-Commerce Technology Market Trend

The rising focus on developing headless CMS is another factor supporting the e-commerce technology market growth in the forecast period. The increasing number of touchpoints for customers, such as IoT devices, smartphones, and progressive web apps, is making it difficult for legacy e-commerce websites to manage demand from customers. Even though most retailers have not embraced the IoT, more customers are exploring new product information through devices, such as IoT-enabled speakers, smart voice assistance, and in-store interfaces. To resolve this issue and provide a more effective user experience, vendors are offering a headless e-commerce architecture. Headless e-commerce architecture is a back-end-only content management system (CMS). Furthermore, vendors are offering headless CMS solutions to simplify e-commerce applications and provide flexible software packaging for their clients. For instance, Magento, a subsidiary of Adobe Inc., offers GraphQL, a flexible and performant application programming interface (API), which allows users to build custom front ends, including headless storefronts, advanced web applications (PWA), and mobile apps. Such developments are expected to provide high growth opportunities for market vendors during the forecast period.

Key E-Commerce Technology Market Challenge

Growing concerns over data privacy and security will be a major challenge for the e-commerce technology market during the forecast period. Data privacy and security risks are the major barriers to the adoption of e-commerce technology. Hackers are constantly trying to search for vulnerabilities and loopholes in e-commerce infrastructure. Although e-commerce players, vendors, and end-user organizations try to adopt proactive prevention plans to counter security breaches within their systems, the rise in the number of e-commerce website hacking and ransomware attacks has resulted in financial and data loss for companies. In addition, public cloud in

There are many potential insights one can draw from this dataset. The ecommerce data provided contains information about sales orders, including the order ID, order date, shipping date, customer names, location (country, city, state), product categories, product names, sales amount, and profit amount. The dataset covers a range of orders over several years, with information on different product categories and their associated sales. It also provides insights into the distribution of orders across cities and states. After importing the data into Tableau, one can sort to see which states have the most total sales (CA, WA, AZ), which product categories have the highest profit (chairs, phones, machines), and various other intersections of data. The analysis from this data can be used to make decisions about what products to increase or reduce stock of, which states to focus on to push sales, and how to maximize profits by looking at which product categories have the highest profit margins.

If you’re interested, please take a look!

Dataset originally from https://www.kaggle.com/datasets/imgowthamg/walmart-sales-dataset

E-Commerce Data Integration Software Market Outlook

The e-commerce data integration software market is poised for substantial growth with a market size that is projected to expand from approximately USD 2.3 billion in 2023 to an estimated USD 5.9 billion by 2032, showcasing a compound annual growth rate (CAGR) of 11%. The primary growth drivers for this market include the increasing demand for seamless data connectivity in e-commerce platforms, the rapid adoption of cloud technologies, and the rising significance of data-driven decision-making processes in businesses. As companies strive to harness the power of big data and analytics, e-commerce data integration solutions become crucial in amalgamating disparate data sources into a unified framework that can deliver actionable insights.

One of the pivotal growth factors in the e-commerce data integration software market is the burgeoning volume of data generated through e-commerce activities. With the exponential rise in online transactions, businesses are inundated with vast amounts of data ranging from customer information to transaction histories and behavioral analytics. This necessitates robust data integration solutions that can help in extracting, transforming, and loading data efficiently across various platforms, ensuring data consistency and integrity. The ability to swiftly integrate and analyze this data is critical for businesses aiming to enhance customer experience, optimize supply chains, and tailor marketing efforts, thereby driving the demand for data integration solutions.

Another significant growth driver is the increasing shift towards cloud-based solutions. The cloud offers scalability, flexibility, and cost-effectiveness, making it an attractive option for enterprises of all sizes. The migration to cloud-based e-commerce platforms has been accelerating, and with it, the need for cloud-compatible data integration software. These solutions enable businesses to seamlessly connect cloud applications with on-premises systems, facilitating a hybrid data environment that can support complex business operations. The cloud deployment mode, therefore, is expected to witness a higher adoption rate, further propelling the market growth.

The rapid digital transformation across various industries is further catalyzing the demand for e-commerce data integration software. Industries such as retail, healthcare, and BFSI are increasingly leveraging digital platforms to enhance their service offerings and operational efficiencies. In this context, data integration software plays a crucial role in ensuring that disparate data systems can communicate and share information effectively. The integration of e-commerce data with other enterprise systems like CRM and ERP allows businesses to gain a holistic view of operations and customer interactions, enabling better decision-making and strategy formulation.

Enterprise Data Integration is becoming increasingly vital in today's interconnected business environment. As organizations grow and expand their operations across various platforms and geographies, the need for a cohesive data strategy becomes paramount. Enterprise Data Integration solutions facilitate the seamless flow of information across different departments and systems, ensuring that decision-makers have access to accurate and timely data. This integration not only enhances operational efficiency but also supports strategic initiatives by providing a unified view of the enterprise's data landscape. As businesses continue to embrace digital transformation, the role of Enterprise Data Integration in driving innovation and competitiveness cannot be overstated.

Regionally, North America is expected to lead the e-commerce data integration software market, driven by the presence of a large number of technology providers and early adopters of innovative solutions. The Asia Pacific region is anticipated to exhibit the highest growth rate, fueled by the rapid e-commerce expansion, increasing internet penetration, and growing investments in digital infrastructure. The European market is also projected to witness significant growth due to stringent data regulations prompting businesses to adopt advanced data management systems.

Component Analysis

The e-commerce data integration software market is segmented by components into software and services, each playing a pivotal role in the market's ecosystem. The software segment encompasses various tools and platforms designed

Comprehensive dataset containing 199 verified E-commerce service businesses in Iowa, United States with complete contact information, ratings, reviews, and location data.

Graph and download economic data for E-Commerce Revenue for Computer Systems Design and Related Services, All Establishments, Employer Firms (DISCONTINUED) (ECREF5415ALLEST) from 1998 to 2015 about e-commerce, employer firms, computers, revenue, establishments, services, and USA.

United States Retail Sales Nowcast: sa: YoY: Contribution: E-Commerce: E-Commerce Transactions: Value: Business & Consumer Services data was reported at 0.000 % in 12 May 2025. This stayed constant from the previous number of 0.000 % for 05 May 2025. United States Retail Sales Nowcast: sa: YoY: Contribution: E-Commerce: E-Commerce Transactions: Value: Business & Consumer Services data is updated weekly, averaging 0.000 % from Feb 2020 (Median) to 12 May 2025, with 274 observations. The data reached an all-time high of 24.700 % in 14 Mar 2022 and a record low of 0.000 % in 12 May 2025. United States Retail Sales Nowcast: sa: YoY: Contribution: E-Commerce: E-Commerce Transactions: Value: Business & Consumer Services data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Retail Sales.

Dataset

This dataset was created by Rahul sawant

Released under Apache 2.0

Contents

About Data

This Data set is about the Sales Data of the Leading United Stated Online E-commerce organization, This is the real- time Data with Modification of Critical Geographical Content and Critical Id

Data Set Description

1. Transaction Id:
2. Customer_ Id:
3. Date:
4. Product:
5. Gender:
6. Device_Type:
7. Country:
8. State:
9. City:
10. Category:
11. Customer_Login_Type:
12. Delivery_Type Quantity:
13. Transaction Start:
14. Transaction_Result:
15. Amount US$:
16. Individual_Price_US$:
17. Year_Month:
18. Time:

Task

With this data set, Time Series Analysis Prediction of Sales, and Forecasting can be done, and other Machine Learning Algorithms can be used (Regression, Classification)

Mexico E-Commerce Transactions: Value: Business & Consumer Services: Marketing & Advertising data was reported at 154.170 USD in 10 May 2025. This records a decrease from the previous number of 887.637 USD for 09 May 2025. Mexico E-Commerce Transactions: Value: Business & Consumer Services: Marketing & Advertising data is updated daily, averaging 506.640 USD from Feb 2019 (Median) to 10 May 2025, with 394 observations. The data reached an all-time high of 41,343.232 USD in 11 Oct 2023 and a record low of 13.893 USD in 02 Jan 2025. Mexico E-Commerce Transactions: Value: Business & Consumer Services: Marketing & Advertising data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s Mexico – Table MX.GI.EC: E-Commerce Transactions: by Category.

Graph and download economic data for E-Commerce Revenue for Educational Services, All Establishments, Employer Firms (DISCONTINUED) (ECREF61ALLEST) from 2009 to 2015 about e-commerce, employer firms, revenue, establishments, education, services, and USA.

Dominican Republic E-Commerce Transactions: Value: Business & Consumer Services: Business & Consumer Services data was reported at 699.050 USD in 12 Dec 2024. This records an increase from the previous number of 546.601 USD for 10 Dec 2024. Dominican Republic E-Commerce Transactions: Value: Business & Consumer Services: Business & Consumer Services data is updated daily, averaging 938.063 USD from Jan 2019 (Median) to 12 Dec 2024, with 953 observations. The data reached an all-time high of 42,190.406 USD in 18 Jul 2022 and a record low of 14.820 USD in 18 Dec 2020. Dominican Republic E-Commerce Transactions: Value: Business & Consumer Services: Business & Consumer Services data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s Dominican Republic – Table DO.GI.EC: E-Commerce Transactions: by Category.

Monaco E-Commerce Transactions: AOV: Business & Consumer Services data was reported at 424.396 USD in 11 Dec 2023. This records a decrease from the previous number of 430.870 USD for 23 Nov 2023. Monaco E-Commerce Transactions: AOV: Business & Consumer Services data is updated daily, averaging 358.578 USD from Jan 2019 (Median) to 11 Dec 2023, with 985 observations. The data reached an all-time high of 3,523.304 USD in 01 Oct 2023 and a record low of 9.159 USD in 08 Sep 2022. Monaco E-Commerce Transactions: AOV: Business & Consumer Services data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s Monaco – Table MC.GI.EC: E-Commerce Transactions: by Category.