The dataset contains 1,462 entries and 22 columns, primarily capturing responses from a survey about e-customer relationships in e-commerce. Key demographic information includes age and sex, alongside questions on e-commerce usage patterns, such as daily app usage time and weekly purchase frequency.

The survey assesses factors influencing customer decisions, including the impact of e-commerce promotions (vouchers, coupons, flash sales), app usability, order processing speed, logistics ease, and customer service responsiveness. Further columns explore trust in sellers, the importance of regular order updates, perceived product quality, pricing competitiveness compared to physical stores, and the influence of social media advertisements and famous ambassadors. Additionally, participants rated their confidence in flagship stores, consideration of online shop ratings, and tendency to purchase from well-reviewed stores. Each response is rated on a scale, reflecting the importance of various factors in their e-commerce shopping behaviors.

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...

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 ...

E-Commerce Merchandising Tools Market Outlook

The global e-commerce merchandising tools market size was valued at approximately $5.6 billion in 2023 and is expected to reach a staggering $14.3 billion by 2032, growing at a compound annual growth rate (CAGR) of 10.8% during the forecast period. The growth of this market is driven primarily by the increasing shift towards online shopping, advancements in artificial intelligence and machine learning, and the necessity for personalized customer experiences.

One of the significant growth factors for the e-commerce merchandising tools market is the increasing reliance on advanced technology to enhance customer experiences. As digital transformation accelerates, retailers are increasingly adopting tools that leverage artificial intelligence and machine learning to provide personalized shopping experiences. These technologies help in understanding customer preferences and behavior, thereby enabling retailers to offer products and services that align closely with customer needs. Furthermore, this personalized approach has shown to significantly improve customer loyalty and retention, which are crucial for the profitability of e-commerce businesses.

Another driver for market growth is the proliferation of mobile shopping. With the advent of smartphones and mobile applications, consumers now have the convenience of shopping anytime and anywhere. E-commerce merchants are investing heavily in mobile-optimized merchandising tools that can provide seamless shopping experiences across various devices. This growing trend not only increases customer engagement but also drives higher conversion rates, thereby boosting market growth. Additionally, mobile shopping analytics provide valuable insights into consumer behavior, which can be used to refine merchandising strategies further.

The surge in e-commerce activities due to global events such as the COVID-19 pandemic has also played a pivotal role in the market's expansion. As physical stores faced closures and restrictions, both consumers and retailers turned to online platforms. This sudden spike in online shopping necessitated the rapid deployment of sophisticated merchandising tools to manage the increased traffic and demand effectively. This trend is expected to continue even post-pandemic, as both consumers and businesses have become accustomed to the convenience and efficiency of e-commerce.

Commerce Artificial Intelligence is revolutionizing the way businesses operate in the digital marketplace. By integrating AI technologies into e-commerce platforms, retailers can automate and enhance various aspects of their operations, from customer service to inventory management. AI-driven chatbots, for instance, provide real-time assistance to customers, improving engagement and satisfaction. Moreover, AI algorithms analyze vast amounts of data to predict consumer behavior, enabling businesses to tailor their marketing strategies and product offerings more effectively. This not only boosts sales but also helps in building long-term customer relationships. As AI continues to evolve, its role in commerce is expected to expand, offering new opportunities for innovation and efficiency in the e-commerce sector.

From a regional perspective, North America and Europe hold significant shares in the e-commerce merchandising tools market due to high internet penetration and the presence of major retail giants. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The region's burgeoning middle class, increasing smartphone penetration, and expanding internet connectivity are key factors driving this growth. Additionally, initiatives by regional governments to promote digitalization and e-commerce are further propelling the market in this region.

Product Type Analysis

The e-commerce merchandising tools market is segmented into several product types: product recommendation engines, pricing optimization tools, inventory management tools, personalization tools, and others. Product recommendation engines are among the most critical tools in the e-commerce landscape. These engines use algorithms and data analytics to suggest products to customers based on their browsing and purchasing history. By providing personalized recommendations, these tools significantly enhance the shopping experience, leading to increased customer satisfaction and higher sales conversions. Retailers leveraging robust recommendat

The global market for fashion e-commerce personalization tools is experiencing robust growth, driven by the increasing adoption of e-commerce and the rising consumer demand for personalized shopping experiences. The market, currently valued at approximately $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 18% from 2025 to 2033, reaching an estimated $10 billion by 2033. Key drivers include the proliferation of mobile commerce, the need for enhanced customer engagement and retention, and the increasing availability of advanced technologies like AI and machine learning. These technologies power personalized recommendations, improve product discovery and search functionality, enable creative design and trend forecasting, facilitate seamless virtual assistant interactions, and optimize customer relationship management. Segmentation reveals strong growth in cloud-based solutions due to their scalability and cost-effectiveness, and the application segment focused on product recommendations, discovery, and search remains the largest revenue contributor. While data privacy concerns and the high implementation costs of sophisticated personalization systems pose challenges, the overall market outlook remains highly positive, fueled by continuous technological advancements and the increasing sophistication of consumer expectations. The market's geographic distribution shows a significant presence in North America and Europe, driven by established e-commerce infrastructure and high consumer adoption rates. However, Asia Pacific is expected to emerge as a significant growth region in the coming years, fueled by the rapidly expanding e-commerce sector and a young, tech-savvy population. Companies like IBM, Microsoft, and SAP are leading players offering comprehensive personalization solutions, while numerous niche players are innovating in areas such as AI-powered styling and trend forecasting. The competitive landscape is dynamic, with continuous mergers, acquisitions, and the introduction of innovative solutions shaping the market's trajectory. Future growth will be further fueled by the integration of augmented reality (AR) and virtual reality (VR) technologies, offering immersive and interactive shopping experiences. The market’s success hinges on the ability of companies to deliver personalized experiences while upholding data privacy and security standards.

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.

In response to the soaring demand for imported goods among Chinese consumers, this study innovatively investigates the role of external cues on consumer behavior on cross-border e-commerce platforms, utilizing advanced data crawling techniques to extract data from Tmall Global. Guided by the Elaboration Likelihood Model, this research unveils key determinants affecting consumer purchasing decisions, contributing novel insights to e-commerce literature and methodologies. Our analysis discovers that increased picture comments significantly boost sales and that source credibility, product collections, and price discounts also play pivotal roles, especially for experiential products. We further explore a nuanced, inverted U-shaped relationship between product title length and sales, offering a foundational understanding of non-linear relationships in consumer behavior and presenting practical implications for enhancing marketing strategies. This study, while acknowledging limitations like data access constraints, provides strategic insights into optimizing product information presentation and broadens understanding of consumer decision-making processes, thus adding substantial value to ongoing e-commerce discourse.

Snapshot img

Business To Business (B2B) E-Commerce Market Size 2024-2028

The business to business (b2b) e-commerce market size is forecast to increase by USD 11158.3 billion, at a CAGR of 15.2% between 2023 and 2028.

The Business-to-Business (B2B) E-commerce market is experiencing significant growth, particularly in developing countries where adoption is on the rise. This trend is driven by the increasing digitization of business processes and the convenience and efficiency gains offered by online platforms. Another key driver is the strategic collaboration among companies, who are recognizing the benefits of partnerships in expanding their reach and enhancing their offerings. However, this market is not without challenges. Data and cybersecurity concerns are becoming increasingly prevalent, as companies grapple with the complexities of securing sensitive business information in the digital realm.
These challenges necessitate robust security measures and strategic planning to mitigate risks and maintain trust with business partners. Companies seeking to capitalize on the opportunities presented by the B2B E-commerce market must navigate these challenges effectively, while also staying abreast of the latest trends and collaborative opportunities.

What will be the Size of the Business To Business (B2B) E-Commerce Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
Request Free Sample

In the dynamic and ever-evolving business-to-business (B2B) e-commerce market, various entities interplay to facilitate seamless transactions and optimize operations. Channel management and supplier relationship management are crucial for effective procurement processes, ensuring a steady supply chain. Optimization of inventory management systems and demand planning enable businesses to maintain an adequate stock level, reducing the risk of stockouts or overstocking. Business intelligence and data analytics provide valuable insights, enabling sales forecasting and pricing strategies. E-commerce platforms serve as the backbone, integrating order management systems, payment terms, and invoice processing. Technical support and contract negotiation are essential for maintaining strong business relationships and resolving any disputes.

Fraud prevention measures, such as data encryption and compliance regulations, protect businesses from potential threats. Marketing automation and discounting strategies help attract and retain customers, while branding strategies and reputation management ensure a strong market presence. International trade and import/export procedures necessitate a deep understanding of various tax regulations and customs regulations. Sales automation and affiliate marketing expand reach and streamline operations, while predictive analytics and return management optimize customer service and account receivables. Warehouse management, shipping logistics, and negotiation tactics ensure efficient order fulfillment and risk management. Quality control and product returns maintain customer satisfaction, while company onboarding and supply chain finance facilitate smooth supplier relationships.

Email marketing, digital marketing, content marketing, and social media marketing are essential for lead generation and customer engagement. Legal frameworks and contract management ensure a solid foundation for business operations. In this continuously unfolding market, entities such as payment gateways, lead generation, and compliance regulations are integral components, shaping the B2B e-commerce landscape.

How is this Business To Business (B2B) E-Commerce Industry segmented?

The business to business (b2b) e-commerce 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.

Application

  Home and kitchen
  Beauty and personal care
  Consumer electronics
  Clothing and others


Business Segment

  Small and medium enterprises
  Large enterprises


Type

  Buyer-oriented
  Seller-oriented
  Intermediary-oriented


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa

    Egypt
    KSA
    Oman
    UAE


  APAC

    China
    India
    Japan


  South America

    Argentina
    Brazil


  Rest of World (ROW)

By Application Insights

The home and kitchen segment is estimated to witness significant growth during the forecast period.

The Business-to-Business (B2B) e-commerce market in the US has experienced significant growth, driven by various factors. Security protocols and order management systems ensure seamless transactions, while technical support facilitates smooth operations.

The Customer-to-Manufacturer (C2M) e-commerce market is experiencing rapid growth, driven by increasing consumer demand for personalized products and manufacturers' desire for direct access to their target audiences. The market's expansion is fueled by several key trends, including the rise of social commerce, advancements in supply chain management technologies, and the increasing adoption of data analytics for better consumer insights. Companies like Alibaba, NetEase, and JD.com are leading the charge, leveraging their established e-commerce platforms and technological prowess to facilitate direct connections between consumers and manufacturers. This model allows for greater customization, shorter lead times, and potentially lower prices, benefiting both consumers and businesses. The integrated platform segment holds a significant market share, owing to its comprehensive capabilities covering order management, logistics, and customer relationship management (CRM). Geographically, the Asia-Pacific region, particularly China, is a dominant force, reflecting the region's high internet penetration and strong e-commerce culture. However, growth is expected across all regions, with North America and Europe showing significant potential for expansion in the coming years as businesses adopt C2M strategies for enhanced efficiency and competitive advantage. While challenges remain, such as potential supply chain complexities and the need for robust data security, the overall outlook for the C2M e-commerce market remains positive, projecting continued growth and innovation throughout the forecast period. The restraints to growth primarily involve the complexities of managing direct-to-consumer relationships at scale, requiring sophisticated technological infrastructure and supply chain solutions. Building trust between consumers and unfamiliar manufacturers is another crucial factor. Successful C2M models require transparent communication and robust quality control processes. Furthermore, effective data analytics and personalized marketing strategies are essential for targeted outreach and product development. Despite these challenges, the potential rewards are significant. By streamlining processes and establishing direct connections with consumers, manufacturers gain valuable data, increase brand loyalty, and optimize production. Moreover, C2M allows for more agile response to changing market demands, a crucial factor in today's dynamic business environment. The evolving landscape, with companies continually investing in new technologies and strategies, points to a future where C2M e-commerce plays an increasingly important role in the global economy. We project a substantial increase in market size driven by the factors outlined above.

Snapshot img

Product Information Management Market Size 2024-2028

The product information management market size is forecast to increase by USD 10.87 bn at a CAGR of 14.37% between 2023 and 2028.

The Product Information Management (PIM) market is experiencing significant growth, driven by the thriving e-commerce industry's increasing demand for efficient and accurate product data management. To meet this demand, companies are adopting advanced technologies such as artificial intelligence (AI) and machine learning to enhance data management capabilities and improve consumer experiences. However, with the increasing adoption of these technologies comes the challenge of ensuring data security and privacy. Cloud computing solutions are gaining popularity In the PIM market due to their flexibility and scalability, allowing businesses to store and manage large amounts of data securely. Additionally, the integration of augmented reality (AR) technology in PIM systems is expected to revolutionize the way products are presented and marketed online, providing a more immersive shopping experience for consumers.Overall, the PIM market is poised for continued growth as businesses seek to streamline their product data management processes and enhance consumer engagement.

What will be the Size of the Product Information Management Market During the Forecast Period?

Request Free SampleThe Product Information Management (PIM) market encompasses solutions that help businesses manage and syndicate accurate and consistent product data across multiple channels, including ecommerce platforms and retailers. With the increasing importance of omnichannel sales strategies, the demand for PIM systems has surged. These solutions enable the management of critical product data such as ingredients, weights, colors, and product specifications, ensuring retailers and wholesalers receive up-to-date, high-quality information. Cloud-based PIM systems offer automation capabilities, reducing manual data entry and improving data accuracy. Security frameworks are essential to protect sensitive product information. The consumer goods industry, in particular, benefits significantly from PIM solutions, as they help maintain product consistency and enhance the overall shopping experience.Artificial intelligence and machine learning technologies are increasingly integrated into PIM systems, further improving data enrichment and enabling more efficient data management.

How is this Product Information Management Industry segmented and which is the largest segment?

The product information management 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. DeploymentOn-premisesCloudEnd-userLarge enterprisesSMEsGeographyNorth AmericaUSEuropeGermanyUKAPACChinaJapanSouth AmericaMiddle East and Africa

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period. Product Information Management (PIM) refers to on-premises software solutions installed and managed on a company's servers, requiring a license and in-house resources for care and integration. This approach necessitates specialized personnel for handling obligations and involves significant project installation considerations, such as infrastructure assessment, LAN/WAN bandwidth impact, access decisions, and internal approvals. In larger-scale deployments or complex infrastructures, a Systems Integrator may be engaged. The adoption of an on-premises PIM system necessitates a substantial investment in resources and internal capabilities. PIM plays a crucial role in data syndication for eCommerce industries, ensuring consistency and quality across omnichannel syndication, including retailers and wholesalers.It facilitates the management of product content, including ingredients, weights, colors, and product specifications. Security frameworks are essential for safeguarding sensitive data, and cloud-based solutions and automation offer scalability and efficiency. Industry verticals, such as consumer goods and retail, significantly benefit from PIM systems, enhancing the customer experience and omnichannel experience, driving online shopping sales, and catering to small companies undergoing digitalization. The eCommerce industry's shift towards multi-cloud approaches and hybrid cloud strategies necessitates PIM systems' integration with eCommerce systems, Enterprise Resource Planning, Customer Relationship Management, product catalogs, downstream channels, IT service teams, marketing channels, and security and privacy considerations.Data enrichment through Artificial Intelligence and Augmented Reality (AR) further enhances the value proposition of PIM systems.

Get a glance at the market report of various segmen

By 2034, the Datafication in E-commerce Market is expected to reach a valuation of USD 3,853 billion, expanding at a healthy CAGR of 15.2%.

The global ecommerce tools market is experiencing robust growth, driven by the escalating adoption of e-commerce by both SMEs and large enterprises. The increasing preference for cloud-based solutions over on-premise systems, coupled with the expanding need for advanced marketing automation and customer relationship management (CRM) tools, significantly fuels market expansion. The market's segmentation reflects this trend, with cloud-based solutions capturing a larger share due to their scalability, cost-effectiveness, and ease of implementation. Key players like Shopify, Salesforce Commerce Cloud, and Magento contribute to the market's competitive landscape, offering a wide range of functionalities encompassing inventory management, order processing, marketing automation, and customer service tools. The market's geographical distribution showcases strong growth in North America and Asia-Pacific regions, fueled by the burgeoning e-commerce sector in these areas and high internet penetration rates. However, challenges remain, including the need for robust cybersecurity measures, data privacy concerns, and the integration complexities of various e-commerce tools within existing business systems. Future growth will be influenced by advancements in artificial intelligence (AI), machine learning (ML), and the integration of omnichannel strategies to provide seamless customer experiences across multiple touchpoints. Despite some regional variations, the market is projected to maintain a healthy Compound Annual Growth Rate (CAGR) throughout the forecast period (2025-2033). This consistent growth is attributed to factors such as increasing digitalization, rising consumer spending online, and the continuous innovation within the e-commerce ecosystem. The competitive landscape remains dynamic, with both established players and emerging startups vying for market share through product innovation and strategic partnerships. The continued focus on enhancing customer experiences, improving supply chain efficiency, and leveraging data analytics for better decision-making will be critical for companies aiming to succeed in this rapidly evolving market. The market is expected to witness consolidation in the coming years, with larger players acquiring smaller companies to enhance their product portfolios and market reach. Furthermore, the integration of new technologies like augmented reality (AR) and virtual reality (VR) into e-commerce tools will offer new growth avenues.

-> If you use Turkish_Product_Reviews_by_Gozukara_and_Ozel_2016 dataset please cite: https://dergipark.org.tr/en/pub/cukurovaummfd/issue/28708/310341

@research article { cukurovaummfd310341, journal = {Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi}, issn = {1019-1011}, eissn = {2564-7520}, address = {Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi Yayın Kurulu Başkanlığı 01330 ADANA}, publisher = {Cukurova University}, year = {2016}, volume = {31}, pages = {464 - 482}, doi = {10.21605/cukurovaummfd.310341}, title = {Türkçe ve İngilizce Yorumların Duygu Analizinde Doküman Vektörü Hesaplama Yöntemleri için Bir Deneysel İnceleme}, key = {cite}, author = {Gözükara, Furkan and Özel, Selma Ayşe} }

https://doi.org/10.21605/cukurovaummfd.310341

-> Turkish_Product_Reviews_by_Gozukara_and_Ozel_2016 dataset is composed as below: ->-> Top 50 E-commerce sites in Turkey are crawled and their comments are extracted. Then randomly 2000 comments selected and manually labelled by a field expert. ->-> After manual labeling the selected comments is done, 600 negative and 600 positive comments are left. ->-> This dataset contains these comments.

-> English_Movie_Reviews_by_Pang_and_Lee_2004 ->-> Pang, B., Lee, L., 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts, In Proceedings of the 42nd annual meeting on Association for Computational Linguistics (p. 271). ->-> Source: https://www.cs.cornell.edu/people/pabo/movie-review-data/ | polarity dataset v2.0 - review_polarity.tar.gz

-> English_Movie_Reviews_Sentences_by_Pang_and_Lee_2005 ->-> Pang, B., Lee, L., 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales, In Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics (pp. 115-124), Association for Computational Linguistics ->-> Source: https://www.cs.cornell.edu/people/pabo/movie-review-data/ | sentence polarity dataset v1.0 - rt-polaritydata.tar.gz

-> English_Product_Reviews_by_Blitzer_et_al_2007 ->-> Article of the dataset: Blitzer, J., Dredze, M., Pereira, F., 2007. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification, In ACL (Vol. 7, pp. 440-447). ->-> Source: http://www.cs.jhu.edu/~mdredze/datasets/sentiment/ | processed_acl.tar.gz

-> Turkish_Movie_Reviews_by_Demirtas_and_Pechenizkiy_2013 ->-> Demirtas, E., Pechenizkiy, M., 2013. Cross-lingual polarity detection with machine translation, In Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining (p. 9). ACM. ->-> http://www.win.tue.nl/~mpechen/projects/smm/#Datasets Turkish_Movie_Sentiment.zip

-> The dataset files are provided as used in the article. -> Weka files are generated with Raw Frequency of terms rather than used Weighting Schemes

-> The folder Cross_Validation contains 10-fold cross-validation each fold files. -> Inside Cross_Validation folder, each turn of the cross-validation is named as test_X where X is the turn number -> Inside test_X folder * Test_Set_Negative_RAW: Contains raw negative class Test data of that cross-validation turn * Test_Set_Negative_Processed: Contains pre-processed negative class Test data of that cross-validation turn * Test_Set_Positive_RAW: Contains raw positive class Test data of that cross-validation turn * Test_Set_Positive_Processed: Contains pre-processed positive class Test data of that cross-validation turn * Train_Set_Negative_RAW: Contains raw negative class Train data of that cross-validation turn * Train_Set_Negative_Processed: Contains pre-processed negative class Train data of that cross-validation turn * Train_Set_Positive_RAW: Contains raw positive class Train data of that cross-validation turn * Train_Set_Positive_Processed: Contains pre-processed positive class Train data of that cross-validation turn * Train_Set_For_Weka: Contains processed Train set formatted for Weka * Test_Set_For_Weka: Contains processed Test set formatted for Weka

-> The folder Entire_Dataset contains files for Entire Dataset * Negative_Processed: Contains all negative comments processed data * Positive_Processed: Contains all positive comments processed data * Negative_RAW: Contains all negative comments RAW data * Positive_RAW: Contains all positive comments RAW data * Entire_Dataset_WEKA: Contains all documents processed data in WEKA format

The South America e-commerce skin care products market offers a wide range of products, including:CleansersTonersMoisturizersSerumsMasksExfoliatorsThese products are available in a variety of forms, including creams, lotions, gels, and serums. Recent developments include: April 2023: L'Oréal SA acquired the Aesop brand of Natura &Co's Brazil, which offers hair, body, skin, home, and fragrance products. According to the company, the acquisition of Aesop will lead to a new development cycle for Natura &Co to strengthen its financial structure and will be able to sharpen its focus on its strategic priorities, including its investment plan in Latin America., November 2022: Natura&Co company's brand Avon Cosmetics, announced the establishment of new Research and Development operations in Brazil and Poland, which are two of the largest markets in its business, as per the company. The company asserts that this strategy will help it to deliver aspirational beauty through an omnichannel, high-touch relationship selling model., October 2022: Grupo Boticário acquired the Brazilian DTC men's brand Dr. Jones, which specializes in products for men's skin, hair, and bathing. To increase the number of customers through Grupo Boticário, the company said that Dr. Jones will still be sold through the brand's online store.. Key drivers for this market are: Rising Demand for Natural/Organic Formulation Skincare Products Via E-Commerce, Augmented Expenditure on Marketing and Promotional Activities. Potential restraints include: Touch and Feel Factor Restraining the Market Growth. Notable trends are: Rising Demand for Natural/Organic Formulation Skin Care Products Via E-Commerce.

The Relational Database Software Market size was estimated at USD 21.97 Billion in 2024 and is projected to reach USD 45.23 Billion by 2031, growing at a CAGR of 9.4 % from 2024 to 2031

Global Relational Database Software Market Drivers

Rising Demand for Efficient Data Management: Organizations across industries are generating and collecting ever-increasing volumes of data. This necessitates efficient and secure data management solutions. Relational databases, with their structured format and robust querying capabilities, offer a valuable tool to organize, manage, and analyze this data, leading to increased demand for this software.

Cloud Adoption and Scalability: The proliferation of cloud computing has significantly impacted the relational database market. Cloud-based database solutions offer scalability, flexibility, and reduced IT infrastructure burden for businesses. This makes them particularly attractive for small and medium-sized enterprises (SMEs) and facilitates easier data access for geographically dispersed teams.

Growing Importance of Data Security and Compliance: Data breaches and cyberattacks pose significant threats to businesses. Relational database software vendors are constantly innovating to enhance security features like encryption and access controls. Additionally, stringent data privacy regulations like GDPR and CCPA are driving the need for compliant data storage and management solutions, further propelling the market for secure relational databases.

Snapshot img

Luxury E-Tailing Market Size 2024-2028

The luxury e-tailing market size is forecast to increase by USD 32.48 billion, at a CAGR of 9.12% between 2023 and 2028.

The market is experiencing significant growth, driven by the rising trend of online spending and the increasing penetration of smartphones. These factors have led to an increase in consumer preference for purchasing luxury goods through digital channels. However, the market faces stiff competition from offline retailers, who continue to dominate the luxury goods sector. To remain competitive, luxury e-tailers must focus on multichannel marketing strategies, leveraging both online and offline channels to reach consumers. Additionally, providing exceptional customer service and ensuring product authenticity are crucial challenges for luxury e-tailers, as consumers demand a seamless shopping experience and assurance of authenticity when purchasing high-end items online. Brands such as Net-a-Porter, Farfetch, and Yoox have successfully navigated these challenges by offering personalized shopping experiences, expedited shipping, and robust authentication processes. To capitalize on the market's potential, companies must continue to innovate and differentiate themselves through superior customer service, authenticity guarantees, and strategic multichannel marketing initiatives.

What will be the Size of the Luxury E-Tailing Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
Request Free SampleThe market continues to evolve, driven by advancements in technology and shifting consumer preferences. Customer service chatbots facilitate seamless interactions, while mobile commerce optimization caters to the growing number of shoppers using mobile devices. Customer relationship management systems enable personalized engagement, and fraud detection systems ensure secure transactions. Shipping and logistics are optimized through order management systems and data analytics dashboards, providing real-time visibility into inventory levels and delivery statuses. International shipping options expand reach, and omnichannel retail strategies offer a seamless shopping experience across channels. Virtual try-on technology and augmented reality shopping enhance the customer experience, while luxury product photography showcases offerings in high definition. Personalization engines and e-commerce personalization cater to individual preferences, driving conversion rate optimization. Influencer marketing strategies and social commerce integration broaden reach, and AI-powered recommendations suggest relevant products. Website performance monitoring ensures a smooth shopping journey, and high-value product display captures attention. Luxury brand storytelling and secure payment gateways build trust, and customer loyalty programs retain shoppers. Supply chain optimization and returns management processes streamline operations, and search engine optimization increases visibility. Three-dimensional product visualization and luxury packaging solutions complete the luxury shopping experience, setting the stage for continued innovation in the dynamic luxury e-commerce landscape.

How is this Luxury E-Tailing Industry segmented?

The luxury e-tailing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. ProductPersonal luxuryFood and wineHome accessoriesChannelMultibrandMonobrandGeographyNorth AmericaUSEuropeFranceItalyAPACChinaJapanRest of World (ROW)

By Product Insights

The personal luxury segment is estimated to witness significant growth during the forecast period.In the market, customer service chatbots facilitate seamless interactions, enhancing the shopping experience. Mobile commerce optimization is a priority, catering to the growing number of smartphone users. Customer relationship management systems enable personalized engagement, while fraud detection ensures secure transactions. Shipping and logistics solutions optimize delivery times, and international shipping options expand reach. An omnichannel retail strategy integrates online and offline channels, with order management systems streamlining operations. Data analytics dashboards provide valuable insights, informing supply chain optimization and inventory management. Virtual try-on technology and 3D product visualization offer immersive shopping experiences. Luxury e-commerce platforms prioritize personalization engines and e-commerce personalization. Customer loyalty programs and conversion rate optimization strategies retain customers. Influencer marketing and luxury brand storytelling boost sales, while secure payment gateways assure customer c

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

E-commerce in France is characterised by high competition from the increasing number of pure online retailers and bricks-and-mortar retailers with an omnichannel strategy and foreign online marketplaces offering clothing and other products at particularly low prices. Over the five years through 2025, industry revenue is expected to increase by a compound annual rate of 2.6%, which can be attributed to the increased sales volume of online retail and higher consumer prices. In 2025, industry revenue is expected to increase by 2.2% to €28.6 billion, as the proportion of consumers shopping online will grow and the variety of companies and products will expand as well. The sector's development depends on consumer sentiment and the challenges online retailers face. Falling inflation over the next few years will positively impact consumers' willingness to spend and also positively influence online consumer spending on clothing, furniture and electrical appliances. On the other hand, existing regulations on data protection and the supply chain can cause higher costs and barriers to market entry for new retailers. It is important for the competitiveness of French online retailers to retain customers. Low prices, flexible delivery options and excellent customer support are essential for this. The continuous development of system applications, particularly in relation to mobile shopping trends, identifying the right media marketing mix and optimising cyber security, is becoming increasingly important. In the coming years, online retailers who invest in search engine optimisation (SEO) and conversion rate optimisation (CRO) will benefit the most. This is the only way they can hold their own against the growing number of competitors. Reducing costs through AI-supported data analyses, customer service and drop shipping are effective ways of improving profitability. Over the five years through 2030, industry revenue is expected to increase by a compound annual rate of 3% to €33.1 billion.

Success.ai’s Ecommerce Leads Data for Retail, E-commerce & Consumer Goods Executives Worldwide delivers a robust and comprehensive dataset designed to help businesses connect with decision-makers and professionals in the global retail and e-commerce sectors. Covering industry leaders, marketing strategists, product managers, and logistics executives, this dataset offers verified contact details, business locations, and decision-maker insights.

With access to over 700 million verified global profiles and actionable data from retail and consumer goods companies, Success.ai ensures your outreach, market research, and business development initiatives are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution equips you to succeed in the competitive e-commerce landscape.

Why Choose Success.ai’s Ecommerce Leads Data?

1. Verified Contact Data for Precision Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of e-commerce executives, retail leaders, and consumer goods professionals worldwide.
   • AI-driven validation ensures 99% accuracy, optimizing outreach efforts and minimizing errors in communication.

2. Comprehensive Global Coverage

   • Includes profiles of professionals from major e-commerce hubs such as North America, Europe, Asia-Pacific, and the Middle East.
   • Gain insights into global trends in online retail, logistics, and consumer goods.

3. Continuously Updated Datasets

   • Real-time updates capture leadership changes, business expansions, and emerging e-commerce strategies.
   • Stay ahead of industry trends and align your efforts with evolving market conditions.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible use and compliance with legal standards.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with retail, e-commerce, and consumer goods professionals worldwide.
• Leadership and Decision-Maker Insights: Engage with C-suite executives, product managers, and logistics leaders driving the e-commerce industry.
• Verified Contact Details: Access work emails, phone numbers, and business addresses for targeted engagement.
• Market Intelligence: Gain visibility into e-commerce trends, customer engagement strategies, and emerging technologies.

Key Features of the Dataset:

1. Professional Profiles in E-commerce and Retail

   • Identify and connect with decision-makers responsible for product development, logistics, marketing strategies, and digital transformations.
   • Target professionals managing online marketplaces, omnichannel retail strategies, and supply chain efficiencies.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (apparel, consumer electronics, food and beverage), geographic location, or job function.
   • Tailor campaigns to address specific market needs such as logistics optimization, digital marketing, or inventory management.

3. Industry and Regional Insights

   • Leverage data on market trends, consumer preferences, and e-commerce growth across key regions.
   • Align your strategies with regional demands and opportunities to maximize impact.

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 Lead Generation

   • Design targeted campaigns to promote logistics solutions, digital marketing tools, or consumer goods to professionals in retail and e-commerce.
   • Use verified contact data for multi-channel outreach, including email, phone, and digital marketing.

2. Product Development and Innovation

   • Utilize e-commerce insights to guide product development and align offerings with global consumer demands.
   • Collaborate with product managers and marketing strategists to refine product lines or launch new initiatives.

3. Partnership Development and Collaboration

   • Build relationships with e-commerce platforms, logistics providers, and retail brands seeking strategic alliances.
   • Foster partnerships that expand market reach, enhance customer experiences, or improve operational efficiencies.

4. Market Research and Competitive Analysis

   • Analyze global trends in e-commerce, retail, and consumer goods to refine your business strategies.
   • Benchmark against competitors to identify market gaps, growth opportunities, and emerging technologies.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality e-commerce leads data at competitive prices, ensuring strong ROI for your marketing, sales, and product development efforts.

2. Seamless Integration

   • Integrate verified e-commerce data into CRM systems, analytics tools, or marketing pla...

The fashion e-commerce personalization tools market is experiencing rapid growth, driven by the increasing demand for enhanced customer experiences and the need for retailers to stand out in a competitive landscape. The market, estimated at $2 billion in 2025, is projected to experience a robust Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033, reaching an estimated $10 billion by 2033. This growth is fueled by several key factors. Firstly, the proliferation of e-commerce and the rising expectations of digitally native consumers for personalized experiences are driving adoption. Secondly, advancements in artificial intelligence (AI), machine learning (ML), and big data analytics are enabling the development of more sophisticated personalization tools capable of delivering highly targeted recommendations, styling advice, and customized marketing messages. Thirdly, the increasing integration of these tools across various stages of the customer journey, from product discovery and search to post-purchase engagement, is further boosting market expansion. Key application areas include product recommendation, creative design and trend forecasting, virtual assistants, and customer relationship management (CRM) systems. The cloud-based segment dominates the market due to its scalability, cost-effectiveness, and accessibility. Despite the substantial growth potential, challenges remain. Data privacy concerns and the need for robust data security measures are critical considerations. Furthermore, ensuring accurate and unbiased algorithms is paramount to avoid potential biases in recommendations or targeting. The high cost of implementation and the need for specialized technical expertise can also hinder adoption, particularly among smaller businesses. However, ongoing advancements in AI technology, the increasing availability of affordable cloud-based solutions, and the growing awareness of the importance of personalization are expected to mitigate these challenges. The competitive landscape is dynamic, with a mix of established technology providers and innovative startups vying for market share. This competitive pressure is likely to drive further innovation and accelerate the pace of market expansion.