PromptCloud offers cutting-edge data extraction services that empower businesses with real-time, actionable intelligence from the vast expanses of the online marketplace. We are committed to putting data at the heart of your business. Reach out for a no-frills PromptCloud experience- professional, technologically ahead and reliable.

Our Amazon Best Seller Products Dataset is a key tool for businesses looking to understand and capitalize on market trends. It allows you to identify top-selling products and sellers, and track their performance across various categories and subcategories. This dataset is invaluable for competitive intelligence, monitoring trending products, and understanding customer sentiment. It also plays a crucial role in monitoring competitor prices and enhancing product inventory, ensuring that your business stays relevant and competitive.

Beyond Amazon, PromptCloud offers access to a diverse range of Ecommerce Product Data from various e-commerce websites. PromptCloud is a leading provider of advanced web scraping services, uniquely tailored to meet the dynamic needs of modern businesses. Our services are fully customizable, allowing clients to specify source websites, data collection frequencies, data points, and delivery mechanisms to fit their unique requirements​​. The data aggregation feature of our web crawler enables the extraction of data from multiple sources in a single stream, catering to a diverse range of ecommerce clients.

PromptCloud is a leading provider of advanced web scraping services, uniquely tailored to meet the dynamic needs of modern businesses. Our services are fully customizable, allowing clients to specify source websites, data collection frequencies, data points, and delivery mechanisms to fit their unique requirements​​. The data aggregation feature of our web crawler enables the extraction of data from multiple sources in a single stream, catering to a diverse range of clients, from news aggregators to job boards​​.

With over a decade of experience in extracting web data from any e-commerce website, PromptCloud stands as a seasoned veteran in the field. This extensive experience translates into high-quality, reliable data extraction, making PromptCloud your ideal product web data extraction partner. The reliability of our data is uncompromised, with a 100% verification process that ensures accuracy and trustworthiness.

Introducing E-Commerce Product Datasets!

Unlock the full potential of your product strategy with E-Commerce Product Datasets. Gain invaluable insights to optimize your product offerings and pricing, analyze top-selling strategies, and assess customer sentiment.

Our E-Commerce Datasets Source:

1. Amazon: Access accurate product data from Amazon, including categories, pricing, reviews, and more.

2. Walmart: Receive comprehensive product information from Walmart, covering pricing, sellers, ratings, availability, and more.

E-Commerce Product Datasets provide structured and actionable data, empowering you to understand customer needs and enhance product strategies. We deliver fresh and precise public e-commerce data, including product names, brands, prices, number of sellers, review counts, ratings, and availability.

You have the flexibility to tailor data delivery to your specific needs:

• Receive datasets in various formats, including JSON and CSV.
• Choose delivery via SFTP or directly to your cloud storage (e.g., AWS S3, Google Cloud Storage).
• Select from one-time, monthly, quarterly, or bi-annual data delivery frequencies.

Why Choose Oxylabs E-Commerce Datasets:

1. Fresh and accurate data: Access clean and structured public e-commerce data collected by our leading web scraping professionals.

2. Time and resource savings: Let our experts handle data extraction at an affordable cost, allowing you to focus on your core business objectives.

3. Customizable solutions: Share your unique business needs, and our team will craft customized dataset solutions tailored to your requirements.

4. Legal compliance: Partner with a trusted leader in ethical data collection, endorsed by Fortune 500 companies and fully compliant with GDPR and CCPA regulations.

Pricing Options:

Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

Experience a seamless journey with Oxylabs:

• Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
• Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
• Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
• Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

Unlock the potential of your e-commerce strategy with E-Commerce Product Datasets!

Acorn Online is a renowned online aggregator of market research and customer insights. The company has built a reputation for providing reliable and actionable data to help businesses make informed decisions. As a leading player in the market research landscape, Acorn Online has established partnerships with top industry players, offering unparalleled access to primary and secondary data.

From in-depth market analysis to customer preferences and behaviors, Acorn Online's data repository is a treasure trove of valuable insights. Their collection of data spans across various industries, including consumer goods, healthcare, finance, and technology, providing businesses with a comprehensive understanding of market trends and consumer attitudes. With Acorn Online, businesses can gain valuable insights to stay ahead of the competition and drive growth.

Abstract copyright UK Data Service and data collection copyright owner.

The E-commerce and Digital Economy Survey is an annual survey designed to measure the extent of the use of Information Communication Technologies (ICTs) and electronic trading by businesses in the UK. It is the only survey that measures ICT activity and e-commerce within UK businesses, including foreign-owned businesses.

The survey has been subject to a number of revisions each year, and the 2001 survey is classed as 'experimental', is of low quality, and was subject to significant revisions. Subtle changes in the survey questions can make any comparison between survey years difficult, and so researchers are advised to double-check all questions.

The sample is selected from the Inter-Departmental Business Register. Businesses with more than 1,000 employees are sent the questionnaire every year, whilst those with less than 1,000 employees are randomly sampled and do not therefore necessarily receive the questionnaire every year. The sample allocation uses an algorithm and optimises the sample on key variables that have remained the same since 2003. The survey does not include businesses with between 1 and 9 employees for certain years, e.g. 2005.

The survey samples businesses in the UK from all Standard Industrial Classification (SIC) codes, except for:

• Agriculture, Hunting and Forestry (Section A)
• Fishing (Section B)
• Mining and Quarrying (Section C)
• Public Administration and Defence; Compulsory Social Security (Section L)
• Education (Section M).

The survey has collected information on a consistent basis from SICs since 2000, with only minor adaptations in certain SICs. The survey refers to the year from 1 January to 31 December.

There are separate E-commerce and Digital Economy Survey questionnaires for the financial and non-financial sectors. Non-financial sectors are excluded from estimates relating to the proportions of businesses buying and selling electronically, and the values of their sales and purchases.

2021 survey relaunch:
The E-commerce Survey was paused after the publication of the 2019 results to allow redevelopment during 2021 with a full review of the data collected. This refocussed the survey on UK user requirements. The survey was relaunched as the Digital Economy Survey with new questions. The survey was despatched in February 2022 collecting data for the 2021 reference period.

Linking to other business studies
These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

For the twelfth edition (March 2024), the 2021 data file has been added. The variable catalogue has also been updated. The survey was paused after the publication of the 2019 results to allow redevelopment during 2021 with a full review of the data collected. This refocussed the survey on UK user requirements. The survey was relaunched as the Digital Economy Survey with new questions. The survey was despatched in February 2022 collecting data for the 2021 reference period.

Main Topics:

The main topics covered by the E-commerce and Digital Economy Survey vary from year to year. The 2021 survey included the following topics:

• use of computers
• invoicing
• use of cloud computing services
• big data analysis
  
• ICT specialists and skills
• use of 3D printing technologies
• use of robotics
  
• e-commerce
• administrative information
  

Product Description:

Explore the world of precision-driven data with Scorri Brands Shoppers Data, offering a deep dive into real shopping transactions. Uncover sales amount, shopping frequencies, market share, and more across brand, category, merchant, and geography, providing a comprehensive understanding enriched with demographics.

Key Features:

Comprehensive Transaction Insights: Unlock real shopping transaction details, exploring sales amounts, shopping frequencies, market share, and more for a holistic understanding.

Demographics Enrichment: Uncover valuable insights by correlating transaction data with demographic attributes such as age group, gender, and income group, providing deeper insights into brand sales.

Advanced Digit Identifiers: Leverage advanced digit identifiers (IP, MAID, HEM) for targeted analysis, enhancing your understanding of shopper behaviors and preferences.

Online Attributes Tracking: Seamlessly track brand performance on E-commerce and social media platforms for a comprehensive view of your online presence, now enriched with Ecommerce Data and Online Purchase Data.

Primary Use-Cases and Verticals:

Consumer Behavior Analysis: Analyze transaction patterns, demographics, and digit identifiers for in-depth insights into consumer behavior, now incorporating Consumer Behaviour Data.

Targeted Marketing: Utilize demographic attributes and digit identifiers for precision in targeted marketing strategies, now with enhanced insights from Audience Data.

Retail Strategy Enhancement: Optimize retail strategies by understanding the intersection of transactions, demographics, and digit identifiers, now with added insights from Ecommerce Data.

Competitive Insights: Facilitate competitive and market share insights with transaction data tagged with brand and category names, now fortified with Competitor Data.

Financial Insights: Discover market trends with unparalleled accuracy and precision, leveraging not only transaction details but also Financial Data.

Web Data Activity: Uncover sentiment regarding your brand or product, now enriched with insights from Identity Data.

In 2023, e-commerce professionals from European companies believed artificial intelligence (AI) could support their businesses for various activities. 56 percent of them saw great potential in the collection and analysis of customer data and behavior. Dynamic pricing followed with 48 percent of answers, while personalization ranked third at 47 percent.

The Antiquarian Booksellers' Association of America is a professional organization dedicated to promoting the interests of antiquarian booksellers and book collectors. Founded in 1949, the organization aims to maintain high standards in the trade and foster collegial relations among its members. With a rich history and a strong commitment to ethics, the ABAA is a trusted source for rare and antiquarian books.

The organization has a diverse range of members, each with their own unique expertise and resources. From dealers in fine literature to collectors of rare and unusual books, the ABAA represents a wide spectrum of interests and specialties. Whether you're a seasoned collector or just starting to build your book collection, the ABAA offers a wealth of knowledge, expertise, and resources to aid in your quest for the perfect book.

Description:

👉 Download the dataset here

This dataset is specifically designed for the classification of e-commerce products based on their images, forming a critical part of an experimental study aimed at improving product categorization using computer vision techniques. Accurate categorization is essential for e-commerce platforms as it directly influences customer satisfaction, enhances user experience, and optimizes sales by ensuring that products are presented in the correct categories.

Data Collection and Sources

The dataset comprises a comprehensive collection of e-commerce product images gathered from a diverse range of sources, including prominent online marketplaces such as Amazon, Walmart, and Google, as well as additional resources obtained through web scraping. Additionally, the Amazon Berkeley Objects (ABO) project has been utilized to enhance the dataset in certain categories, though its contribution is limited to specific classes.

Download Dataset

Dataset Composition and Structure

The dataset is organized into 9 distinct classes, primarily reflecting major product categories prevalent on Amazon. These categories were chosen based on a balance between representation and practicality, ensuring sufficient diversity and relevance for training and testing computer vision models. The dataset's structure includes:

18,175 images: Resized to 224x224 pixels, suitable for use in various pretrained CNN architectures.

9 Classes: Representing major e-commerce product categories, offering a broad spectrum of items typically found on online retail platforms.

Train-Val-Check Sets: The dataset is split into training, validation, and check sets. The training and validation sets are designated for model training and hyperparameter tuning, while a smaller check set is reserved for model deployment, providing a visual evaluation of the model's performance in a real-world scenario.

Application and Relevance

E-commerce platforms face significant challenges in product categorization due to the vast number of categories, the variety of products, and the need for precise classification. This dataset addresses these challenges by offering a well-balanced collection of images across multiple categories, allowing for robust model training and evaluation.

This dataset is sourced from kaggle.

Success.ai’s Ecommerce Merchant Data and B2B Contact Data for Global E-commerce Professionals provides a comprehensive and highly accurate database from over 170 million verified profiles. Specifically tailored for the e-commerce sector, this dataset features work emails, direct phone numbers, and enriched professional profiles to connect businesses with the leaders and decision-makers shaping the global e-commerce landscape. Continuously updated with advanced AI validation, this resource is ideal for enhancing marketing campaigns, sales initiatives, recruitment efforts, and market research.

Key Features of Success.ai's Global E-commerce Professional Contact Data

1. Global Data Coverage Gain access to an extensive database spanning key e-commerce markets worldwide. With verified profiles from 170M+ professionals, Success.ai ensures you can connect with global influencers, decision-makers, and strategists across diverse regions and industries.

2. AI-Driven Accuracy Harness the power of AI validation for 99% accuracy rates across emails and phone numbers. Our continuously updated dataset ensures that you reach the right professionals with reliable and actionable contact data.

3. Tailored for E-commerce Professionals Our data includes profiles of experts in online retail, supply chain logistics, payment systems, digital marketing, and e-commerce technology, making it a perfect fit for targeting niche segments within the e-commerce industry.

4. Customizable Data Delivery Choose from API integrations, custom flat files, or direct database access to seamlessly integrate this dataset into your existing systems, empowering your team with flexibility and efficiency.

5. Compliance-Ready Data Success.ai ensures all data is collected and processed in alignment with GDPR, CCPA, and other international compliance standards, so you can leverage this resource with confidence and ethical assurance.

Why Choose Success.ai for Global E-commerce Contact Data?

• Best Price Guarantee We offer a highly competitive pricing model that ensures the best value for high-quality, actionable data.

• Strategic Applications Success.ai’s B2B Contact Data supports a variety of business functions:

E-commerce Marketing Campaigns: Use verified contact information to launch targeted campaigns that reach decision-makers in the e-commerce sector. Sales and Outreach: Enhance your sales strategy with direct access to key players in global e-commerce. Talent Acquisition: Identify and engage with e-commerce professionals for roles in marketing, logistics, technology, and operations. Market Insights: Leverage enriched demographic and firmographic data to conduct in-depth market research and refine your strategies. Business Networking: Build connections with professionals and companies driving innovation in the global e-commerce ecosystem.

• Technology-Enhanced Solutions Our data delivery is optimized for seamless integration into your systems, including:

Enrichment API: Real-time updates to maintain the accuracy and relevance of your contact database. Lead Generation API: Maximize outreach efforts with access to key contact information, enabling up to 860,000 API calls per day.

• Data Highlights 170M+ Verified Global Profiles 50M Direct Phone Numbers 700M Total Professional Profiles Worldwide 70M Verified Company Profiles

• Use Cases

1. Enhanced Marketing: Empower your e-commerce marketing strategies with precise email and phone contact details.
2. Sales Growth: Equip your sales team to connect with top-level executives and decision-makers.
3. Recruitment Excellence: Source global e-commerce talent efficiently with verified professional profiles.
4. Customer Understanding: Deepen insights into customer demographics for improved personalization.
5. Partnership Building: Identify potential collaborators and strengthen relationships with influential industry players.

Success.ai is the ultimate choice for global e-commerce data solutions, delivering unmatched volume, accuracy, and flexibility:

• AI-Validated Data: Ensures a 99% accuracy rate to drive success in your campaigns. Extensive Reach: Access professionals and companies across key regions in the e-commerce sector.
• Seamless Integration: Choose the data delivery method that works best for your business needs.
• Compliance Assurance: Leverage ethically sourced data in adherence to global privacy regulations.

Transform your e-commerce strategies today with Success.ai. Gain access to reliable, verified contact data for global e-commerce professionals and unlock unparalleled opportunities for growth and innovation.

No one beats us on price. Period.

The Report Covers E Commerce Companies in India and the Market is Segmented by B2C E-Commerce (Beauty and Personal Care, Consumer Electronics, Fashion and Apparel, Food and Beverage, Furniture and Home), and B2B E-Commerce.

The number of small and medium-sized enterprises in Germany was forecast to continuously increase between 2024 and 2029 by in total 0.8 thousand enterprises (+0.38 percent). According to this forecast, in 2029, the number will have increased for the sixth consecutive year to 212.45 thousand enterprises. According to the OECD an enterprise is defined as the smallest combination of legal units, which is an organisational unit producing services or goods, that benefits from a degree of autonomy with regards to the allocation of resources and decision making. Shown here are small and medium-sized enterprises, which are defined as companies with 1-249 employees.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the number of small and medium-sized enterprises in countries like Austria and Switzerland.

The size of the Middle East and Africa E-Commerce Apparel Market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 8.72% during the forecast period. E-commerce apparel refers to the buying and selling of clothing and fashion accessories through online platforms. This sector has rapidly evolved, offering consumers a vast array of options ranging from everyday wear to high-end fashion, all accessible via websites and mobile apps. E-commerce apparel allows shoppers to browse, compare, and purchase items from the comfort of their homes, often benefiting from features like detailed product descriptions, customer reviews, and virtual try-ons. The convenience of online shopping, coupled with the ability to access a global market, has transformed the apparel industry. Retailers, from established brands to new startups, leverage digital platforms to reach a wider audience and streamline the shopping experience. Advanced technologies, such as AI-driven recommendations and augmented reality fitting rooms, enhance personalization and customer satisfaction. Additionally, e-commerce apparel often includes various services like free shipping, easy returns, and exclusive online discounts, further attracting consumers.However, the e-commerce apparel market also faces challenges such as managing inventory, ensuring quality control, and addressing environmental concerns related to packaging and returns. Despite these hurdles, the continued growth of online shopping underscores the dynamic nature of the fashion industry and its increasing reliance on digital solutions to meet consumer demands. Recent developments include: March 2023: H&M announced the launch of its Limited Edition 2023 collection for Ramadan. The products were launched in three unique capsules. The H&M Limited Edition 2023 collection prices ranged from DHS 139 in different sizes XS-XL. The first 'Ramadan Ready capsule went on sale online and in a few select stores on March 2, 2023. The second one went on sale on March 16 of that same year, and the last one went on sale on April 6 of that same year., February 2023: H&M South Africa announced their plans to expand their online presence across South Africa in partnership with e-commerce retailer Superbalist. The partnership was intended to allow customers across the region to have access to H&M fashion products for women, men, teens, and kids., March 2022: H&M announced the launch of its new collection, 'H&M Ramadan & Eid Statements 2022 collection'. The new apparel collection was launched in a few selected stores and a few e-commerce platforms, including 'qa.hm.com' and the H&M App.. Key drivers for this market are: Rising Internet Penetration and Increased Social Media Usage Boosting the Market, Seasonal Demand Surge & Discounts in Online Stores Driving the Market. Potential restraints include: Availability of Counterfeit Products Restricting the Market Growth. Notable trends are: Rising Internet Penetration & Increased Social Media Usage Boosting the Market.

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

Snapshot img

Voice Commerce Market Size 2025-2029

The voice commerce market size is forecast to increase by USD 80.21 billion, at a CAGR of 22.7% between 2024 and 2029.

The market is experiencing significant growth, driven by key factors such as enhanced purchasing convenience and the rising adoption of voice-enabled devices. The use of voice technology for shopping offers consumers a more seamless and hands-free experience, making it an attractive option for many. However, data security and privacy concerns remain a challenge for the market, as consumers express apprehension about sharing sensitive information through voice commands. Addressing these concerns through strong security measures and transparent data handling practices will be crucial for the market's continued growth. Overall, the market holds immense potential for innovation and disruption in the retail sector.

What will be the Size of the Voice Commerce Market During the Forecast Period?

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The voice of the market is experiencing significant growth as consumers seek greater convenience and accessibility in their shopping experiences. This emerging trend allows users to interact with e-commerce platforms through voice assistance technology, enabling them to make purchases using smart speakers, virtual digital assistants, and other voice-enabled devices. voice commerce applications span various industries, including travel, hospitality, entertainment, personal care electronics, household supplies, and more.
This innovation is particularly beneficial for individuals with visual impairments, as it offers a time-saving alternative to traditional browsing and purchasing methods. The market is expected to continue expanding, with technological applications in personal care, electronics, household appliances, groceries, arts and crafts, and other sectors poised for significant growth. The market represents a promising avenue for businesses looking to enhance their customer experience and stay competitive in the rapidly evolving e-commerce landscape.

How is this Voice Commerce Industry segmented and which is the largest segment?

The voice commerce industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Personal care
  Electronics
  Household appliances
  Groceries
  Others


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  APAC

    China
    India
    Japan


  South America

    Brazil


  Middle East and Africa

By Application Insights

The personal care segment is estimated to witness significant growth during the forecast period. Voice commerce, a burgeoning sector in e-commerce, allows consumers to make purchases using voice commands through various technological applications. Convenience and accessibility are key benefits, enabling users to shop hands-free, saving time, and facilitating transactions on smart speakers, virtual digital assistants, smartphones, and other devices. This market includes e-commerce platforms, innovation hubs, and various industries such as travel, hospitality, entertainment, personal care electronics, household supplies, and more. Voice commerce caters to individuals with visual impairments and physical limitations, enhancing the shopping experience. However, concerns regarding security, data collection, and regulations, as well as trust issues and consumer awareness, may impact market growth. E-commerce infrastructure, digital payment systems, and logistics networks are essential components of this market, driving consumer spending despite economic uncertainty.

Get a glance at the Voice Commerce Industry report of share of various segments Request Free Sample

The personal care segment was valued at USD 6.37 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 43% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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Voice commerce, a technological application of artificial intelligence (AI) and voice assistance, is revolutionizing the shopping experience in the US and Canada. This market is primarily driven by the convenience and accessibility it offers to end-users. The e-commerce sector, including industries such as personal care, electronics, household supplies, and others, is leveraging it to enhance their customer experience and gain a competitive edge. Individual consumers, who are increasingly becoming tech-savvy, are adopting this innovative shopping m

Ireland E-Commerce Market is Segmented by B2C E-commerce (Beauty and Personal Care, Consumer Electronics, Fashion and Apparel, Food and Beverage, Furniture and Home), and B2B E-commerce. The market sizes and forecasts are provided in terms of value (USD million) for all the above segments.

Data collection of various users.

Snapshot img

Data Monetization Market Size 2024-2028

The data monetization market size is forecast to increase by USD 8.03 billion at a CAGR of 27.17% between 2023 and 2028.

The market is experiencing significant growth due to the high adoption of data monetization by various end-users, particularly in sectors such as healthcare, finance, and retail. The digital transformation of businesses has led to an increase in the generation and collection of vast amounts of data, creating monetization opportunities. Additionally, data privacy and regulatory compliance are becoming increasingly important, driving the need for effective strategies. Companies are leveraging advanced technologies like artificial intelligence and machine learning to extract valuable insights from their data and monetize it through various channels such as data selling, licensing, and subscription services. The market is expected to continue its growth trajectory In the coming years, offering significant opportunities for businesses to unlock value from their data assets.

What will be the Size of the Market During the Forecast Period?

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The market represents a significant growth opportunity for enterprises seeking to leverage their data as an asset. Businesses are increasingly recognizing the value of their data beyond traditional uses in operations and are exploring strategies. Data monetization tools, fueled by advancements in AI, IoT, machine learning, and deep learning, enable enterprises to extract insights from their data and create new revenue streams. The market ecosystem includes IT professionals, telecom and IT companies, energy and utilities, e-commerce, finance, and various industries. These strategies encompass both direct and indirect approaches, with direct monetization involving the sale of raw data and indirect monetization leveraging data to improve customer experience, sales and marketing, and business intelligence.
Data structures and quality play a crucial role in successful data monetization. Businesses must ensure data accuracy, security, and interoperability to effectively monetize their data. The cloud and on-premise solutions offer flexibility in implementation, while big data analytics and AI enable more sophisticated data analysis and monetization. These trends include the integration of AI and machine learning for data analysis, the growing importance of data quality, and the increasing role of customer service in data monetization. Overall, the market is experiencing strong growth, driven by the increasing volume, variety, and velocity of data, and the growing recognition of data as a valuable business asset.

How is this Industry segmented and which is the largest segment?

The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Solution
  Service


Platform

  BFSI
  E-commerce and retail
  Media and entertainment
  Manufacturing
  Others


Geography

  North America

    Canada
    US


  APAC

    China
    Japan


  Europe

    Germany


  South America



  Middle East and Africa

By Type Insights

The solution segment is estimated to witness significant growth during the forecast period. Businesses are capitalizing on their data assets by implementing data monetization solutions, transforming raw data into valuable insights, products, and services for financial growth. The digital age has resulted in an unprecedented increase in data generation from various sources such as customer interactions, IoT devices, and social media. With advancements in technologies like big data analytics, artificial intelligence, machine learning, and cloud computing, it has become more accessible and effective. For instance, retail enterprises like Walmart and Amazon leverage customer data to deliver personalized marketing campaigns, targeted recommendations, optimize pricing strategies, and enhance inventory management. These processes encompass both internal and external methods.

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The solution segment was valued at USD 999.20 million in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 33% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market size of various regions, Request Free Sample

Data monetization is a growing trend in North America, particularly in industries such as finance, retail, and e-commerce. The region's advanced data infrastructure, including sophisticated data collection and

In 2023, a global survey unveiled that seven out of ten business leaders were ramping up their investments in personalization. While 80 percent acknowledged that personalized experiences led to increased consumer spending, and 62 percent emphasized the favorable impact on customer retention, half of the respondents pinpointed the acquisition of precise data for personalization as a persistent challenge.

Data: access vs. execution Although business owners have recognized the difficulty of retrieving accurate data for personalized shopper engagement, this may only constitute half of the hurdle. According to a 2023 survey of retailers worldwide, roughly 60 percent of respondents reported having full capability to leverage customer data for personalization, underscoring the challenges in implementation despite data accessibility.

Growing expectations As e-commerce companies strive to deliver an increasingly personalized shopping experience, consumer attitudes toward personalization are continually evolving. Between 2020 and 2022, the percentage of buyers anticipating companies to understand and address their individual shopping needs surged. By 2023, approximately three-quarters of customers expected better personalization as they provided retailers with more data and as technology advanced.

This study explores the determinants of impulse buying within Live Stream Shopping applications, examining the impact of Physical Characteristic Similarity, Value Similarity, Product Attributes, Parasocial Relationships, Product Fit, Trust, and Perceived Product Quality. This research adopts a quantitative approach with primary data sources. Data collection was conducted using a questionnaire. The sample consists of 421 consumers who have experienced live streaming shopping. Purposive sampling was employed to select the participants. Data analysis was performed using Structural Equation Modeling (SEM) with the assistance of Smart PLS statistical software. The results reveal that Physical Characteristic Similarity, Value Similarity, Product Attributes, Parasocial Relationships, and Trust significantly enhance Product Fit and Perceived Product Quality, which in turn drive Impulse Buying. This research underscores the importance of optimizing live stream shopping experiences to improve consumer satisfaction and highlights the growing role of live stream shopping in Indonesia's vibrant e-commerce landscape

Owing to the increasing internet user base and favorable market conditions, India has a lot of potential in the e-commerce industry. Growing at an exponential rate, the market value of the e-commerce industry in India was 123 billion U.S dollars in 2024. This number was estimated to reach 300 billion U.S. dollars by 2030.

E-commerce platforms

The competition in the e-commerce business in India is fierce. The market is filled with many local and foreign companies trying to hold the maximum market share. Flipkart and Amazon were the leading ecommerce retailers in the country. Moreover, electronics and apparel are the most popular shopping categories among Indian consumers.

Growing trend of e-commerce

Increasing growth in the e-commerce industry is attributed to a number of reasons. Digitizing the economy and provision of affordable internet are a few of many reasons that boosted the growth of digital sales in India. In 2024, the e-commerce sales across India were estimated to increase by over 19 percent. Consequently, the revenue-generating potential has also increased. The average retail e-commerce revenue collected per user was more than 85 U.S dollars.