In 2022, the number of registered e-commerce websites and applications in Vietnam reached nearly **** thousand. In the same year, the number of e-commerce sites that were confirmed by the Ministry of Industry and Trade of Vietnam amounted to over ** thousand.

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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

Both in 2019 and in 2020, almost nine out of ten (***** percent of) e-commerce websites in Brazil had lass than 10,000 visits per month. In 2020, approximately **** percent of online shopping websites in the South American country had more than ******* monthly visits. In July 2020, the e-commerce websites with the highest number of monthly visits in Brazil were Mercado Livre, Americanas.com, and Amazon Brasil, among others.

Unlock the door to business expansion by investing in our real-time eCommerce leads list. Gain direct access to store owners and make informed decisions with data fields including Store Name, Website, Contact First Name, Contact Last Name, Email Address, Physical Address, City, State, Country, Zip Code, Phone Number, Revenue Size, Employee Size, and more on demand.

Ensure a lifetime of access for continuous growth and tailor your campaigns with accurate and reliable information, initiating targeted efforts that align with your marketing goals. Whether you're targeting specific industries or global locations, our database provides up-to-date and valuable insights to support your business journey.

• 4M+ eCommerce Companies • 40M+ Worldwide eCommerce Leads • Direct Contact Info for Shop Owners • 47+ eCommerce Platforms • 40+ Data Points • Lifetime Access • 10+ Data Segmentations • Sample Data

Discover the unparalleled potential of our comprehensive eCommerce leads database, featuring essential data fields such as Store Name, Website, Contact First Name, Contact Last Name, Email Address, Physical Address, City, State, Country, Zip Code, Phone Number, Revenue Size, Employee Size, and more on demand.

With a focus on Shopify, Amazon, eBay, and other global retail stores, this database equips you with accurate information for successful marketing campaigns. Supercharge your marketing efforts with our enriched contact and company database, providing real-time, verified data insights for strategic market assessments and effective buyer engagement across digital and traditional channels.

• 4M+ eCommerce Companies • 40M+ Worldwide eCommerce Leads • Direct Contact Info for Shop Owners • 47+ eCommerce Platforms • 40+ Data Points • Lifetime Access • 10+ Data Segmentations • Sample Data"

In December 2023, Amazon.com was the leading online shopping website in the United States. During the measured period, the sprawling platform accounted for over 45 percent of desktop traffic in the e-commerce and shopping subcategory. In second place on the list was eBay.com, with 9.22 percent of visitors. Walmart ranked third with a bit less than six percent of web traffic. Why customers browse on Amazon The main reason behind the outstanding online traffic to Amazon is user behavior throughout the customer journey. Amazon serves as a search engine for U.S. consumers, with 73 percent browsing it for inspiration and product discovery. Another 65 percent of U.S. shoppers landed on Amazon to look for products and compare products. In turn, Google is left third in the ranking of most used platforms. Generational differences In the beauty segment, the customer journey is more likely to start on Amazon among senior consumers. In the United States, 44 percent of Baby Boomers started their search of beauty products on the marketplace, while only 35 percent of Gen Z consumers reported doing the same.

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...

This chart provides a detailed overview of the number of Spain online retailers by Number of Employee. Most Spain stores' Number of Employee are Less than 10, there are 29.77K stores, which is 90.36% of total. In second place, 836 stores' Number of Employee are 20 to 50, which is 2.54% of total. Meanwhile, 715 stores' Number of Employee are 10 to 20, which is 2.17% of total. This breakdown reveals insights into Spain stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

Revolutionize Customer Engagement with Our Comprehensive Ecommerce Data

Our Ecommerce Data is designed to elevate your customer engagement strategies, providing you with unparalleled insights and precision targeting capabilities. With over 61 million global contacts, this dataset goes beyond conventional data, offering a unique blend of shopping cart links, business emails, phone numbers, and LinkedIn profiles. This comprehensive approach ensures that your marketing strategies are not just effective but also highly personalized, enabling you to connect with your audience on a deeper level.

What Makes Our Ecommerce Data Stand Out?

• Unique Features for Enhanced Targeting
  Our Ecommerce Data is distinguished by its depth and precision. Unlike many other datasets, it includes shopping cart links—a rare and valuable feature that provides you with direct insights into consumer behavior and purchasing intent. This information allows you to tailor your marketing efforts with unprecedented accuracy. Additionally, the integration of business emails, phone numbers, and LinkedIn profiles adds multiple layers to traditional contact data, enriching your understanding of clients and enabling more personalized engagement.

• Robust and Reliable Data Sourcing
  We pride ourselves on our dual-sourcing strategy that ensures the highest levels of data accuracy and relevance:

  • Real-Time Information from 10 Active Publication Sites: Our databases are continuously updated with the latest information, sourced from ten active publication sites that provide real-time data.
  • Dedicated Contact Discovery Team: Complementing our automated sources, our dedicated Contact Discovery Team conducts thorough research and investigations, ensuring that every piece of data is accurate and reliable. This two-pronged approach guarantees that our Ecommerce Data is both up-to-date and relevant, providing you with a solid foundation for your business strategies.

  Primary Use Cases Across Industries

Our Ecommerce Data is versatile and can be leveraged across various industries for multiple applications: - Precision Targeting in Marketing: Create personalized marketing campaigns based on detailed shopping cart activities, ensuring that your outreach resonates with individual customer preferences. - Sales Enrichment: Sales teams can benefit from enriched client profiles that include comprehensive contact information, enabling them to connect with key decision-makers more effectively. - Market Research and Analytics: Research and analytics departments can use this data for in-depth market studies and trend analyses, gaining valuable insights into consumer behavior and market dynamics.

Global Coverage for Comprehensive Engagement

Our Ecommerce Data spans across the globe, providing you with extensive reach and the ability to engage with customers in diverse regions: - North America: United States, Canada, Mexico - Europe: United Kingdom, Germany, France, Italy, Spain, Netherlands, Sweden, and more - Asia: China, Japan, India, South Korea, Singapore, Malaysia, and more - South America: Brazil, Argentina, Chile, Colombia, and more - Africa: South Africa, Nigeria, Kenya, Egypt, and more - Australia and Oceania: Australia, New Zealand - Middle East: United Arab Emirates, Saudi Arabia, Israel, Qatar, and more

Comprehensive Employee and Revenue Size Information

Our dataset also includes detailed information on: - Employee Size: Whether you’re targeting small businesses or large corporations, our data covers all employee sizes, from startups to global enterprises. - Revenue Size: Gain insights into companies across various revenue brackets, enabling you to segment the market more effectively and target your efforts where they will have the most impact.

Seamless Integration into Broader Data Offerings

Our Ecommerce Data is not just a standalone product; it is a critical piece of our broader data ecosystem. It seamlessly integrates with our comprehensive suite of business and consumer datasets, offering you a holistic approach to data-driven decision-making: - Tailored Packages: Choose customized data packages that meet your specific business needs, combining Ecommerce Data with other relevant datasets for a complete view of your market. - Holistic Insights: Whether you are looking for industry-specific details or a broader market overview, our integrated data solutions provide you with the insights necessary to stay ahead of the competition and make informed business decisions.

Elevate Your Business Decisions with Our Ecommerce Data

In essence, our Ecommerce Data is more than just a collection of contacts—it’s a strategic tool designed to give you a competitive edge in understanding and engaging your target audience. By leveraging the power of this comprehensive dataset, you can elevate your business decisions, enhance customer interactions, and navigate the digital landscape with confidence and insight.

This chart provides a detailed overview of the number of Palestine, State of online retailers by Number of Employee. Most Palestine, State of stores' Number of Employee are Less than 10, there are 92 stores, which is 92.93% of total. In second place, 3 stores' Number of Employee are 10 to 20, which is 3.03% of total. Meanwhile, 2 stores' Number of Employee are 20 to 50, which is 2.02% of total. This breakdown reveals insights into Palestine, State of stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

This chart provides a detailed overview of the number of India online retailers by Number of Employee. Most India stores' Number of Employee are Less than 10, there are 46.08K stores, which is 91.67% of total. In second place, 1.12K stores' Number of Employee are 10 to 20, which is 2.22% of total. Meanwhile, 1.11K stores' Number of Employee are 20 to 50, which is 2.22% of total. This breakdown reveals insights into India stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

This dataset is having data of customers who buys clothes online. The store offers in-store style and clothing advice sessions. Customers come in to the store, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want.

The company is trying to decide whether to focus their efforts on their mobile app experience or their website.

The global ecommerce website builder market is experiencing robust growth, driven by the increasing popularity of online businesses and the simplification of website creation offered by these platforms. The market, estimated at $15 billion in 2025, is projected to maintain a healthy Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $45 billion by 2033. This expansion is fueled by several key factors. Firstly, the rising number of small and medium-sized enterprises (SMEs) seeking a cost-effective and user-friendly way to establish an online presence significantly boosts demand. Secondly, the continuous innovation in platform features, including enhanced SEO tools, mobile optimization capabilities, and integrated marketing functionalities, attracts a wider user base. Thirdly, the growing adoption of mobile commerce further accelerates market growth as businesses need to optimize their online stores for mobile devices. Competition remains fierce among established players like Shopify, Wix, and Squarespace, along with open-source options such as WooCommerce and PrestaShop. These platforms cater to diverse user needs, from beginners requiring simple drag-and-drop interfaces to experienced developers needing advanced customization options. The market segmentation is largely defined by pricing tiers, features offered, and target audience (e.g., individuals, SMEs, large enterprises). Geographic expansion, particularly in developing economies with burgeoning internet penetration, presents significant opportunities for market growth. However, several factors could potentially restrain market growth. The increasing sophistication of e-commerce demands necessitates continuous platform upgrades and improvements to remain competitive. Furthermore, security concerns related to data breaches and online fraud can negatively impact consumer confidence and platform adoption. The evolving digital landscape requires constant adaptation to emerging technologies and shifting customer expectations. The market's future will depend on the platforms' ability to innovate, enhance security features, and provide effective customer support to maintain their competitive edge. The ongoing evolution of mobile technologies and increasing preference for mobile commerce will significantly influence the features and functionality of future ecommerce website builders.

This chart provides a detailed overview of the number of Spain online retailers by Monthly Visitors. Most Spain stores' Monthly Visitors are Less than 100, there are 81.15K stores, which is 57.12% of total. In second place, 37.81K stores' Monthly Visitors are 100 to 1K, which is 26.62% of total. Meanwhile, 18.07K stores' Monthly Visitors are 1K to 10K, which is 12.72% of total. This breakdown reveals insights into Spain stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

The pie chart showcases the distribution of app/software spending by store category in India, providing insights into how eCommerce stores allocate their resources on the app or software they utilize. Among the store categories, Apparel exhibits the highest spending, with a total expenditure of $19.59M units representing 35.58% of the overall spending. Following closely behind is Beauty & Fitness with a spend of $7.33M units, comprising 13.32% of the total. Home & Garden also contributes significantly with a spend of $6.55M units, accounting for 11.89% of the overall app/software spending. This data sheds light on the investment patterns of eCommerce stores within each category, reflecting their priorities and resource allocation towards app or software solutions.

This chart provides a detailed overview of the number of India online retailers by Monthly Views. Most India stores' Monthly Views are Less than 100, there are 69.34K stores, which is 52.72% of total. In second place, 34.68K stores' Monthly Views are 100 to 1K, which is 26.36% of total. Meanwhile, 18.67K stores' Monthly Views are 1K to 10K, which is 14.19% of total. This breakdown reveals insights into India stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

This chart provides a detailed overview of the number of Spain online retailers by Monthly Product Sold. Most Spain stores' Monthly Product Sold are Less than 100, there are 130.6K stores, which is 73.01% of total. In second place, 37.2K stores' Monthly Product Sold are 100 to 1K, which is 20.79% of total. Meanwhile, 7.84K stores' Monthly Product Sold are 1K to 10K, which is 4.38% of total. This breakdown reveals insights into Spain stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

E-commerce companies sell various goods and associated services through online portals, either on websites, mobile apps or integrated into social media platforms. Internet access across Europe continues to accelerate, with the vast majority of countries boasting usage rates of over 80% of the population. The spread of fast broadband and mobile data has enabled rising numbers of Europeans to engage in e-shopping. Over the five years through 2025, e-commerce revenue is slated to climb at a compound annual rate of 4% to reach €352.5 billion. E-tailers benefit from lower overhead costs than bricks-and-mortar stores, enabling them to offer highly competitive prices and draw sales away from traditionally popular establishments like department stores. E-tailers have taken off by leveraging these cost advantages to appeal to an increasingly price-conscious consumer base. The expansion of value-added services like buy now, pay later and fast, flexible delivery options have contributed to strong industry growth. However, the industry hasn’t been immune to recent cos-of-living pressures; sky-high inflation across much of Europe severely dented Europeans’ spending power, with drops in sales volumes affecting many online stores in 2023. Despite this, revenue continues on an upwards trajectory as inflation outweighs the drop in volume sales, contributing to forecast revenue growth of 3.9% in 2025. Looking forwards, rising internet penetration will continue to provide a growing market for e-tailers, driving revenue upwards at a projected compound annual rate of 6.3% over the five years through 2030 to reach €478.9 billion. E-tailers will continue to adapt their business practices and product selections to reflect the ever-growing level of environmental awareness. Delivery fleets will become fully electrified for many companies, while increasingly stringent waste regulations will force companies to adopt biodegradable or recyclable packaging in the coming years. Still, online retailers must innovate to compete with rival Asian companies like Temu as these competitors increasingly penetrate European markets. The integration of Gen AI and data analytics will transform business operations, making them more efficient and helping to lower wage costs, supporting profitability.

In 2020, there were approximately **** million websites in Brazil dedicated to e-commerce. This is almost twice as much as the less than *** thousand e-commerce websites found in Brazil two years earlier. It has been forecast that, in 2020, Brazil's retail e-commerce revenue would amount to **** billion U.S. dollars.