Success.ai empowers businesses with dynamic, enterprise-grade B2B company datasets, enabling deep insights into over 28 million verified company profiles, including specialized segments like e-commerce and private companies. Ideal for those targeting diverse company types, our data supports strategic initiatives from sales to competitor analysis.
Key Use Cases Enhanced by Success.ai:
Why Choose Success.ai?
Get Started with Success.ai Today: Partner with us to harness the power of detailed and expansive company data. Whether for enriching your sales processes, conducting in-depth competitor analysis, or enhancing your overall data strategy, Success.ai provides the tools and insights necessary to propel your business to new heights.
Contact us to explore how our tailored data solutions can transform your business operations and strategic initiatives.
Remember, with Success.ai, no one beats us on price. Period.
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
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.
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.
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.
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.
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.
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
Success.ai is the ultimate choice for global e-commerce data solutions, delivering unmatched volume, accuracy, and flexibility:
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.
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E-commerce Analytics Software Market size was valued at USD 15.4 Billion in 2024 and is projected to reach USD 17.24 Billion by 2031, growing at a CAGR of 19.7 % during the forecast period 2024-2031.
Global E-commerce Analytics Software Market Drivers
Fast Growth of the E-Commerce Sector: Over the past ten years, the global e-commerce sector has grown at an exponential rate due to reasons like rising internet penetration, smartphone use, and shifting consumer tastes. Robust analytics solutions are becoming more and more necessary as more organisations go online in order to better analyse customer behaviour, streamline processes, and increase sales.
Demand for Actionable Insights: Businesses are using analytics software more and more in the fiercely competitive e-commerce sector to obtain actionable insights into a range of business-related topics, such as customer demographics, purchasing trends, website traffic, and marketing efficacy. By using these insights, organisations may improve the overall customer experience, tailor marketing campaigns, and make well-informed decisions.
Emphasis on Customer Experience: Businesses are placing a higher priority on using analytics software to better understand and accommodate customer requirements and preferences since it is becoming a crucial differentiator in the e-commerce sector. Through the examination of consumer contact, feedback, and satisfaction data, businesses can pinpoint opportunities for enhancement and modify their products to align with changing demands.
Technological Developments: The progress of ecommerce analytics software is being driven by the ongoing technological developments, especially in fields like big data analytics, artificial intelligence (AI), and machine learning (ML). Businesses can now process massive amounts of data in real-time, identify intricate patterns and trends, and produce predictive insights that can guide strategic decision-making thanks to these technologies.
Growing Significance of Omnichannel Retailing: Companies are using omnichannel retailing tactics more and more as a result of the expansion of various sales channels, such as websites, mobile apps, social media platforms, and physical stores. Consolidating data from these various channels, offering a comprehensive picture of customer behaviour across touchpoints, and facilitating smooth integration and optimisation of the complete sales ecosystem are all made possible by ecommerce analytics software.
Emphasis on Cost Efficiency and ROI: Businesses are giving top priority to solutions that provide measurable returns on investment (ROI) and aid in optimising operating costs in a time of constrained budgets and heightened scrutiny of spending. Ecommerce analytics software is seen as a crucial tool for increasing profitability and efficiency because it helps companies find inefficiencies, optimise marketing budgets, and generate more income.
Regulatory Compliance and Data Security Issues: Businesses are facing more and more pressure to maintain compliance and safeguard customer data as a result of the introduction of data privacy laws like the California Consumer Privacy Act (CCPA) and the General Data Protection Regulation (GDPR). In response to these worries, ecommerce analytics software companies are strengthening data security protocols, putting in place strong compliance frameworks, and providing capabilities like anonymization and encryption to protect sensitive data.
Envestnet®| Yodlee®'s Consumer Behavior Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.
Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.
We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.
Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?
Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.
Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking
Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)
Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence
Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis
Success.ai’s Ecommerce Leads Data API empowers you to reach the right ecommerce professionals and decision-makers across global markets. With direct access to over 700 million verified profiles and 15,000 intent insights, this API ensures your outreach and marketing efforts resonate with individuals who are actively engaged in the ecommerce landscape.
Whether you’re crafting ABM campaigns, refining your go-to-market strategies, or enhancing personalization, Success.ai’s continuously updated, AI-validated data provides the reliability and precision you need. Backed by our Best Price Guarantee, this solution is essential for accelerating online sales, improving conversion rates, and maintaining a competitive edge in an ever-evolving digital commerce environment.
Why Choose Success.ai’s Ecommerce Leads Data API?
Vast, Verified Global Profiles
15K Intent Insights for Enhanced Precision
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Ecommerce Leads Data API:
On-Demand Data Enrichment
Advanced Filtering and Querying
Real-Time Validation and Reliability
Scalable and Seamless Integration
Strategic Use Cases:
Targeted ABM Campaigns
Market Expansion and Product Launches
Competitive Benchmarking and Analysis
Personalization and Customer Engagement
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
Data Accuracy with AI Validation
Customizable and Scalable Solutions
Success.ai delivers unparalleled access to Retail Store Data for Asia’s retail and e-commerce sectors, encompassing subcategories such as ecommerce data, ecommerce merchant data, ecommerce market data, and company data. Whether you’re targeting emerging markets or established players, our solutions provide the tools to connect with decision-makers, analyze market trends, and drive strategic growth. With continuously updated datasets and AI-validated accuracy, Success.ai ensures your data is always relevant and reliable.
Key Features of Success.ai's Retail Store Data for Retail & E-commerce in Asia:
Extensive Business Profiles: Access detailed profiles for 70M+ companies across Asia’s retail and e-commerce sectors. Profiles include firmographic data, revenue insights, employee counts, and operational scope.
Ecommerce Data: Gain insights into online marketplaces, customer demographics, and digital transaction patterns to refine your strategies.
Ecommerce Merchant Data: Understand vendor performance, supply chain metrics, and operational details to optimize partnerships.
Ecommerce Market Data: Analyze purchasing trends, regional preferences, and market demands to identify growth opportunities.
Contact Data for Decision-Makers: Reach key stakeholders, such as CEOs, marketing executives, and procurement managers. Verified contact details include work emails, phone numbers, and business addresses.
Real-Time Accuracy: AI-powered validation ensures a 99% accuracy rate, keeping your outreach efforts efficient and impactful.
Compliance and Ethics: All data is ethically sourced and fully compliant with GDPR and other regional data protection regulations.
Why Choose Success.ai for Retail Store Data?
Best Price Guarantee: We deliver industry-leading value with the most competitive pricing for comprehensive retail store data.
Customizable Solutions: Tailor your data to meet specific needs, such as targeting particular regions, industries, or company sizes.
Scalable Access: Our data solutions are built to grow with your business, supporting small startups to large-scale enterprises.
Seamless Integration: Effortlessly incorporate our data into your existing CRM, marketing, or analytics platforms.
Comprehensive Use Cases for Retail Store Data:
Identify potential partners, distributors, and clients to expand your footprint in Asia’s dynamic retail and e-commerce markets. Use detailed profiles to assess market opportunities and risks.
Leverage ecommerce data and consumer insights to craft highly targeted campaigns. Connect directly with decision-makers for precise and effective communication.
Analyze competitors’ operations, market positioning, and consumer strategies to refine your business plans and gain a competitive edge.
Evaluate potential suppliers or vendors using ecommerce merchant data, including financial health, operational details, and contact data.
Enhance customer loyalty programs and retention strategies by leveraging ecommerce market data and purchasing trends.
APIs to Amplify Your Results:
Enrichment API: Keep your CRM and analytics platforms up-to-date with real-time data enrichment, ensuring accurate and actionable company profiles.
Lead Generation API: Maximize your outreach with verified contact data for retail and e-commerce decision-makers. Ideal for driving targeted marketing and sales efforts.
Tailored Solutions for Industry Professionals:
Retailers: Expand your supply chain, identify new markets, and connect with key partners in the e-commerce ecosystem.
E-commerce Platforms: Optimize your vendor and partner selection with verified profiles and operational insights.
Marketing Agencies: Deliver highly personalized campaigns by leveraging detailed consumer data and decision-maker contacts.
Consultants: Provide data-driven recommendations to clients with access to comprehensive company data and market trends.
What Sets Success.ai Apart?
70M+ Business Profiles: Access an extensive and detailed database of companies across Asia’s retail and e-commerce sectors.
Global Compliance: All data is sourced ethically and adheres to international data privacy standards, including GDPR.
Real-Time Updates: Ensure your data remains accurate and relevant with our continuously updated datasets.
Dedicated Support: Our team of experts is available to help you maximize the value of our data solutions.
Empower Your Business with Success.ai:
Success.ai’s Retail Store Data for the retail and e-commerce sectors in Asia provides the insights and connections needed to thrive in this competitive market. Whether you’re entering a new region, launching a targeted campaign, or analyzing market trends, our data solutions ensure measurable success.
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According to Cognitive Market Research, the global e-commerce software market size will be USD 7351.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 16.20% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 2940.60 million in 2024 and will grow at a compound annual growth rate (CAGR) of 14.4% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 2205.45 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 1690.85 million in 2024 and will grow at a compound annual growth rate (CAGR) of 18.2% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 367.58 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.6% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 147.03 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.9% from 2024 to 2031.
The end-to-end platform category is the fastest growing segment of the e-commerce software industry
Market Dynamics of E-commerce Software Market
Key Drivers for E-commerce Software Market
Advancements in Cloud Computing and Saas Solutions Propel Market Growth
Advancements in cloud computing and SaaS (Software as a Service) solutions are significantly propelling the growth of the e-commerce software market. These technologies enable businesses to offer scalable, flexible, and cost-effective solutions that meet the diverse needs of online retailers. Cloud-based platforms provide businesses with the ability to manage large volumes of data, enhance security, and ensure system reliability without heavy upfront investments. SaaS solutions allow for easier software deployment, faster updates, and the ability to integrate with other business systems seamlessly. As a result, e-commerce companies can improve operational efficiency, reduce costs, and offer better customer experiences, which drives continued demand and market expansion. For instance, Relevant Industrial announced the launch of its state-of-the-art e-commerce platform in July 2024, designed to transform the industrial purchasing experience. The platform provided customers with a seamless, efficient, and user-friendly way to purchase industrial equipment and custom-engineered solutions.
Rising Preference For Subscription-Based E-Commerce Models Drives Market Growth
The rising preference for subscription-based e-commerce models is significantly driving the growth of the e-commerce software market. Consumers increasingly favour subscription services for their convenience, personalized experiences, and cost savings. This shift is prompting businesses to adopt advanced e-commerce platforms that can efficiently manage recurring billing, subscriptions, and customer data. Software solutions are evolving to integrate subscription management features, automate renewals, and offer flexible pricing models. As subscription-based models gain popularity across various industries, including media, fitness, and retail, the demand for specialized e-commerce software continues to rise. This trend is expected to accelerate further the growth of the global e-commerce software market in the coming years.
Restraint Factor for the E-commerce Software Market
Difficulty in Maintaining Cybersecurity and Preventing Data Breaches Hampers Market Growth
Difficulty in maintaining cybersecurity and preventing data breaches significantly hampers the growth of the e-commerce software market. As online transactions and customer data become increasingly vulnerable to cyber threats, businesses face rising concerns over data protection, security breaches, and compliance with privacy regulations. The financial and reputational costs associated with data breaches often discourage new businesses from adopting e-commerce platforms, especially in regions where cybersecurity infrastructure is weak. Additionally, the constant evolution of cyber threats necessitates ongoing investment in advanced security measures, which can be a barrier for small and medium-sized enterprises. These challenges impede the widespread acceptance of e-commerce software and slow market expansion.
Impact of Covid-19 on the E-commerce Softwa...
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Discover valuable insights into e-commerce trends and consumer behavior with our comprehensive dataset. Analyze sales data, consumer preferences, marketing impact.
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?
Verified Contact Data for Precision Outreach
Comprehensive Coverage of South-east Asia’s E-commerce Market
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Comprehensive Professional Profiles in E-commerce
Advanced Filters for Precision Campaigns
Regional and Market-specific Insights
AI-Driven Enrichment
Strategic Use Cases:
Marketing Campaigns and Digital Outreach
Market Research and Competitive Analysis
Partnership Development and Vendor Collaboration
Recruitment and Talent Acquisition
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
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Welcome to the Canadian English Call Center Speech Dataset for the Retail domain designed to enhance the development of call center speech recognition models specifically for the Retail industry. This dataset is meticulously curated to support advanced speech recognition, natural language processing, conversational AI, and generative voice AI algorithms.
This training dataset comprises 30 hours of call center audio recordings covering various topics and scenarios related to the Retail domain, designed to build robust and accurate customer service speech technology.
This dataset offers a diverse range of conversation topics, call types, and outcomes, including both inbound and outbound calls with positive, neutral, and negative outcomes.
This extensive coverage ensures the dataset includes realistic call center scenarios, which is essential for developing effective customer support speech recognition models.
To facilitate your workflow, the dataset includes manual verbatim transcriptions of each call center audio file in JSON format. These transcriptions feature:
These ready-to-use transcriptions accelerate the development of the Retail domain call center conversational AI and ASR models for the Canadian English language.
The dataset provides comprehensive metadata for each conversation and participant:
This metadata is a powerful tool for understanding and characterizing the data, enabling informed decision-making in the development of
According to a global survey carried out during the second quarter of 2023, around 55 percent of Gen X online shoppers wished e-commerce sites would enhance frictionless payment methods. Additionally, some 45 percent of surveyed Millennials would like to have personalized products recommended when shopping online, an option which appealed to the same percentage of Gen Z online shoppers.
E-commerce companies seem to have listened to their audience. In 2021, almost seven in ten professionals from e-commerce businesses stated personalization will be a key investment area in the future.
Personalization drives conversion rates Investing in a personalized shopping experience pays off. A 2021 study analyzing conversion rates of U.S. e-commerce sites showed that a higher percentage of purchases were finalized after the shopping experience was tailored to the users. Although conversion rates improved across several e-commerce segments, marketplaces showed the biggest difference in pre-and post-personalization.
Easier said than done For buyers to get a personalized shopping experience, retailers need to retrieve significant amounts of user data throughout the entire customer journey – from customized newsletter to web visits, from mobile app usage to payment preferences. Extensive tracking of online user data requires adequate IT capacity. Over 40 percent of U.S. executives from e-commerce companies could not ensure a personalized shopping experience due to lacking IT bandwidth. The second biggest pain point was the missing cooperation with solution partners enabling the personalization.
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E-commerce and retail datasets provide valuable insights into consumer behavior, market trends, and business performance. These datasets help companies optimize pricing, enhance marketing strategies, improve inventory management, and increase sales conversions. By leveraging data-driven decision-making, businesses can stay competitive and meet evolving customer demands. Benefits and Impact: Enhanced predictive accuracy for demand forecasting and price […]
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According to Cognitive Market Research, the global Artificial Intelligence in Retail market size is USD 4951.2 million in 2023and will expand at a compound annual growth rate (CAGR) of 39.50% from 2023 to 2030.
Enhanced customer personalization to provide viable market output
Demand for online remains higher in Artificial Intelligence in the Retail market.
The machine learning and deep learning category held the highest Artificial Intelligence in Retail market revenue share in 2023.
North American Artificial Intelligence In Retail will continue to lead, whereas the Asia-Pacific Artificial Intelligence In Retail market will experience the most substantial growth until 2030.
Enhanced Customer Personalization to Provide Viable Market Output
A primary driver of Artificial Intelligence in the Retail market is the pursuit of enhanced customer personalization. A.I. algorithms analyze vast datasets of customer behaviors, preferences, and purchase history to deliver highly personalized shopping experiences. Retailers leverage this insight to offer tailored product recommendations, targeted marketing campaigns, and personalized promotions. The drive for superior customer personalization not only enhances customer satisfaction but also increases engagement and boosts sales. This focus on individualized interactions through A.I. applications is a key driver shaping the dynamic landscape of A.I. in the retail market.
January 2023 - Microsoft and digital start-up AiFi worked together to offer Smart Store Analytics. It is a cloud-based tracking solution that helps merchants with operational and shopper insights for intelligent, cashierless stores.
Source-techcrunch.com/2023/01/10/aifi-microsoft-smart-store-analytics/
Improved Operational Efficiency to Propel Market Growth
Another pivotal driver is the quest for improved operational efficiency within the retail sector. A.I. technologies streamline various aspects of retail operations, from inventory management and demand forecasting to supply chain optimization and cashier-less checkout systems. By automating routine tasks and leveraging predictive analytics, retailers can enhance efficiency, reduce costs, and minimize errors. The pursuit of improved operational efficiency is a key motivator for retailers to invest in AI solutions, enabling them to stay competitive, adapt to dynamic market conditions, and meet the evolving demands of modern consumers in the highly competitive artificial intelligence (AI) retail market.
January 2023 - The EY Retail Intelligence solution, which is based on Microsoft Cloud, was introduced by the Fintech business EY to give customers a safe and efficient shopping experience. In order to deliver insightful information, this solution makes use of Microsoft Cloud for Retail and its technologies, which include image recognition, analytics, and artificial intelligence (A.I.).
Market Dynamics of the Artificial Intelligence in the Retail market
Data Security Concerns to Restrict Market Growth
A prominent restraint in Artificial Intelligence in the Retail market is the pervasive concern over data security. As retailers increasingly rely on A.I. to process vast amounts of customer data for personalized experiences, there is a growing apprehension regarding the protection of sensitive information. The potential for data breaches and cyberattacks poses a significant challenge, as retailers must navigate the delicate balance between utilizing customer data for AI-driven initiatives and safeguarding it against potential security threats. Addressing these concerns is crucial to building and maintaining consumer trust in A.I. applications within the retail sector.
Impact of COVID–19 on the Artificial Intelligence in the Retail market
The COVID-19 pandemic significantly influenced artificial intelligence in the retail market, accelerating the adoption of A.I. technologies across the industry. With lockdowns, social distancing measures, and a surge in online shopping, retailers turned to A.I. to navigate the challenges posed by the pandemic. AI-powered solutions played a crucial role in optimizing supply chain management, predicting shifts in consumer behavior, and enhancing e-commerce experiences. Retailers lever...
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According to Cognitive Market Research, the global international e-commerce market size will be USD XX million in 2024. It will expand at a compound annual growth rate (CAGR) of 16.0% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 14.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD XX million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 18.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.7% from 2024 to 2031.
The digital wallets held the highest international e-commerce market revenue share in 2024.
Market Dynamics of International E-Commerce Market
Key Drivers for International E-Commerce Market
Development of Encryption Technology and Safe Payment Gateways to Increase the Demand Globally
The development of encryption technology and safe payment gateways has significantly bolstered the international e-commerce market. Enhanced encryption ensures secure data transmission, protecting customer information from cyber threats and boosting consumer trust. Safe payment gateways offer reliable and seamless transactions, mitigating fraud risks and accommodating various currencies and payment methods. These advancements address critical security concerns, facilitating smoother cross-border transactions and encouraging more consumers to engage in international online shopping. As a result, the e-commerce market experiences increased growth and expansion, overcoming some of its primary operational challenges.
Rising Internet Penetration and Smartphone Use to Propel Market Growth
Rising internet penetration and increased smartphone use significantly drive the growth of the international e-commerce market. As more people gain access to the internet, especially in developing regions, the potential customer base for online retailers expands. Smartphones facilitate convenient, on-the-go shopping experiences, boosting online purchase frequency. Enhanced internet connectivity and mobile technology enable easier access to e-commerce platforms, leading to increased consumer engagement and sales. Consequently, businesses can reach a broader audience, driving international expansion and market growth, while consumers benefit from greater accessibility to a wide range of products and services globally.
Restraint Factor for the International E-Commerce Market
High Costs and Delays in International Shipping to Limit the Sales
High costs and delays in international shipping significantly impact the international e-commerce market. Shipping internationally involves complex logistics, including customs clearance, handling fees, and transportation across multiple borders, which can be costly and time-consuming. These expenses often lead to higher product prices and longer delivery times, discouraging potential customers. Additionally, logistical challenges such as port congestion, limited shipping options, and geopolitical issues can cause further delays. These factors collectively restrain market growth by reducing customer satisfaction and increasing operational costs for e-commerce businesses.
Impact of Covid-19 on the International E-Commerce Market
The COVID-19 pandemic significantly accelerated the growth of the international e-commerce market. Lockdowns and social distancing measures led to a surge in online shopping as consumers avoided physical stores. Businesses rapidly adapted by enhancing their online presence and logistics capabilities. Despite initial disruptions in the supply chain and delivery services, the demand for e-commerce solutions skyrocketed, driving innovation in digital payment methods and contactless delivery. This shift has permanently changed consumer behavior, with many continuing to prefer online shopping for convenience and safety, even post-pande...
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According to Cognitive Market Research, the global ECommerce Platform Market size is USD 9.3 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 6.7% from 2024 to 2031. Market Dynamics of ECommerce Platform Market
Key Drivers for ECommerce Platform Market
Rapid growth in online shopping drives the demand for comprehensive e-commerce platform solutions - The rapid growth in online shopping is a significant driver for the e-commerce platform market. As consumers increasingly turn to online retail for convenience, variety, and competitive pricing, businesses are compelled to enhance their digital presence. This surge in online shopping necessitates robust and scalable e-commerce platform solutions that can handle high traffic volumes, offer seamless user experiences, and support various payment methods. Comprehensive e-commerce platforms enable businesses to manage their online stores efficiently, integrate with other digital tools, and provide personalized shopping experiences.
Increasing mobile internet penetration boosts the adoption of mobile-friendly e-commerce platforms globally.
Key Restraints for ECommerce Platform Market
Increasing cybersecurity threats pose risks to consumer data and transactions, impacting trust and adoption.
Complex integrations with existing IT systems and diverse e-commerce platforms can hinder seamless operations and scalability.
Introduction of the ECommerce Platform Market
The Ecommerce Platform serves as a digital framework facilitating online transactions, encompassing both goods and services. Its market continues to surge, driven by factors such as rising internet penetration, mobile device adoption, and evolving consumer preferences towards convenient shopping experiences. With an array of offerings including payment solutions, management platforms, and end-to-end services, the sector caters to diverse e-commerce models like B2B and B2C. Amidst rapid digitization across industries such as Beauty & Personal Care, Fashion, and Consumer Electronics, the Ecommerce Platform's dynamic evolution underscores its pivotal role in shaping modern commerce.
In 2023, global retail e-commerce sales reached an estimated 5.8 trillion U.S. dollars. Projections indicate a 39 percent growth in this figure over the coming years, with expectations to surpass eight trillion dollars by 2027.
World players Among the key players on the world stage, the Chinese retail giant Alibaba holds the title of the largest e-commerce retailer globally, accounting for a 23 percent market share. Nevertheless, forecasts suggest that by 2027, Seattle-based e-commerce powerhouse Amazon will surpass Alibaba in estimated sales, reaching a staggering 1.2 trillion U.S. dollars in online sales.
Leading e-tailing countries The Chinese e-commerce market was the biggest worldwide in 2023, as internet sales constituted almost half of the country's retail transactions. Indonesia ranked second with the highest share of retail sales online (32 percent), closely trailed by the United Kingdom and South Korea, exceeding the 30 percent mark. That year, the up-and-coming e-commerce markets centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing 20 percent.
Enhance your business strategies with our Verified eCommerce Data Solutions, drawn from a vast pool of profiles and company records. Our data is meticulously curated for businesses focused on eCommerce leads data, eCommerce company data, eCommerce market data, and eCommerce merchant data, providing a robust foundation for lead generation, recruitment, and targeted B2B marketing.
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The AI Agents in eCommerce Market is projected to expand from USD 3.6 billion in 2024 to approximately USD 282.6 billion by 2034, growing at a CAGR of 54.7% during the forecast period from 2025 to 2034. This rapid growth is driven by the increasing adoption of AI-powered virtual assistants, chatbots, personalized recommendation engines, and automated customer service solutions. AI agents are revolutionizing the eCommerce sector by enhancing customer experience, streamlining operations, and improving sales conversion rates through data-driven insights.
In 2024, North America held a dominant market position, capturing more than a 38.5% share, with USD 1.3 billion in revenue. The region's leadership is attributed to strong investments in AI technology, high eCommerce penetration, and the presence of key market players. The widespread adoption of AI-driven automation by major eCommerce platforms and retailers is further fueling regional growth. The U.S., in particular, is at the forefront, leveraging AI to enhance customer engagement, supply chain optimization, and fraud detection in online retail.
The market for AI agents in eCommerce is experiencing rapid growth, driven by the increasing demand for enhanced customer experience and improved operational efficiency. As of recent estimates, the market is projected to escalate significantly in value over the next few years, reflecting a growing adoption of AI technologies in retail and commerce sectors. This growth is attributed to the ability of AI agents to streamline eCommerce operations, reduce costs, and provide a personalized shopping experience, which in turn boosts sales and customer satisfaction​
The primary driving factors for the adoption of AI agents in eCommerce include the need for advanced customer service solutions, the ability to handle large volumes of data, and the demand for operational efficiency. The integration of AI agents helps businesses manage customer interactions more effectively, optimize inventory and pricing strategies, and personalize marketing efforts, which are crucial for staying competitive in the digital marketplace​.
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The Mobile Apps and Web Analytics Market size was valued at USD 9.1 Billion in the year 2024 and it is expected to reach USD 38.35 Billion in 2031, growing at a CAGR of 16.3% over the forecast period of 2024 to 2031.
Global Mobile Apps And Web Analytics Market Drivers
Increasing Adoption of Mobile Devices and Apps: The surge in smartphone use boosts the mobile apps and web analytics market, as businesses analyze mobile app performance to enhance user satisfaction and maintain competitiveness.
Growing Importance of Data-Driven Decision Making: Companies across sectors are embracing data-driven strategies to stay ahead, using mobile apps and web analytics for insights on user behavior and preferences, influencing product and marketing decisions.
Need for Enhanced User Experience and Engagement: Mobile apps and web analytics are critical for improving user experiences by identifying issues and optimizing interactions, leading to increasing user satisfaction and loyalty.
Shift towards Digital Transformation and Omnichannel Strategies: The move towards digital transformation and omnichannel approaches fuels the demand for mobile apps and web analytics, helping businesses measure effectiveness and optimize customer engagement across multiple channels.
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Welcome to the Odia Scripted Monologue Speech Dataset for the Retail & E-commerce Domain. This meticulously curated dataset is designed to advance the development of Odia language speech recognition models, particularly for the Retail & E-commerce industry.
This training dataset comprises over 6,000 high-quality scripted prompt recordings in Odia. These recordings cover various topics and scenarios relevant to the Retail & E-commerce domain, designed to build robust and accurate customer service speech technology.
Each scripted prompt is crafted to reflect real-life scenarios encountered in the Retail & E-commerce domain, ensuring applicability in training robust natural language processing and speech recognition models.
In addition to high-quality audio recordings, the dataset includes meticulously prepared text files with verbatim transcriptions of each audio file. These transcriptions are essential for training accurate and robust speech recognition models.
Success.ai empowers businesses with dynamic, enterprise-grade B2B company datasets, enabling deep insights into over 28 million verified company profiles, including specialized segments like e-commerce and private companies. Ideal for those targeting diverse company types, our data supports strategic initiatives from sales to competitor analysis.
Key Use Cases Enhanced by Success.ai:
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Get Started with Success.ai Today: Partner with us to harness the power of detailed and expansive company data. Whether for enriching your sales processes, conducting in-depth competitor analysis, or enhancing your overall data strategy, Success.ai provides the tools and insights necessary to propel your business to new heights.
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