Global Artificial Intelligence in E-commerce Market Size, Share & Trends Analysis Report, By Technology (Natural Language Processing, Machine Learning, Computer Vision), By Deployment (Cloud, On-premise), by Application (Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Warehouse Automation, Merchandizing, Product Recommendation, Customer Service), By Region (North America, Europe, APAC, and Others), and Segment Forecasts, 2024 – 2032
  • Published Date: Nov, 2023
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  • Pages: 200
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  • Report Summary
  • Table of Contents
  • Segmentation
  • Methodology
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The market for AI in e-commerce refers to the dynamic and evolving sector where Artificial Intelligence technologies are applied to enhance various facets of online retail operations. This encompasses the integration of AI-driven solutions and applications within e-commerce platforms, websites, and systems to optimize processes, improve customer experiences, and drive overall business efficiency. The AI in e-commerce market includes a spectrum of technologies such as machine learning, natural language processing, computer vision, and predictive analytics, all deployed to analyze data, automate tasks, and deliver personalized experiences. Key areas within this market include personalized product recommendations, advanced search functionalities, inventory management, pricing optimization, fraud detection, and customer support through AI-driven chatbots. As businesses increasingly leverage AI to adapt to changing consumer behaviors and preferences, the AI in e-commerce market continues to evolve, playing a pivotal role in shaping the future of online retail.

Some of the benefits of designing an Artificial Intelligence in E-commerce Market include:

  • Tailoring the Shopping Experience: AI empowers e-commerce platforms to scrutinize customer data, preferences, and behaviors, providing individualized recommendations and interactions. This customized approach elevates customer satisfaction and nurtures brand loyalty.
  • Refined Search and Exploration: AI-driven algorithms enhance search functionalities, ensuring more precise and efficient product discovery. Voice and visual search, fueled by AI, introduce users to innovative and user-friendly methods for locating desired items.
  • Streamlined Inventory Management: AI streamlines inventory management by anticipating demand patterns, mitigating overstock and stockouts, and guaranteeing the availability of the right products at the optimal times. This operational efficiency translates into cost savings and enhanced performance.
  • Adaptive Pricing Strategies: AI affords e-commerce enterprises the capability to deploy dynamic pricing strategies grounded in real-time data, competitor pricing, and market trends. This dynamic pricing approach optimizes revenue and bolsters competitiveness.
  • Vigilant Fraud Detection and Security: AI assumes a pivotal role in the identification and prevention of fraudulent activities through sophisticated fraud detection systems. Leveraging machine learning algorithms, AI scrutinizes patterns to pinpoint anomalies, safeguarding both businesses and customers from unauthorized transactions.

Global Artificial Intelligence in E-commerce Market was valued at US $ 7 Billion in 2023 and is expected to reach US $ 28.5 Billion by 2032 growing at a CAGR of 16.9% during the forecast period 2024 – 2032.

COVID -19 Impact

The COVID-19 pandemic has wrought significant and multifaceted impacts on the AI in e-commerce market. With lockdowns prompting a surge in online shopping, e-commerce platforms turned to AI for managing increased transaction volumes and optimizing user experiences. The demand for contactless solutions skyrocketed, propelling the prominence of AI-driven technologies such as voice-activated and visual search to meet consumer preferences for touch-free interactions. Supply chain disruptions, a consequence of global lockdowns, were navigated with the aid of AI, which facilitated inventory optimization, demand prediction, and mitigated disruptions through data-driven insights.

The online landscape witnessed an upswing in fraudulent activities, prompting the adoption of AI-powered fraud detection systems to safeguard both businesses and consumers. Virtual try-ons and augmented reality gained traction as a response to the temporary closure of brick-and-mortar stores, with AI playing a pivotal role in enabling e-commerce platforms to offer virtual fitting rooms and enhance the online shopping experience. The increased demand for customer support in the wake of heightened online activity was met by AI-powered chatbots and virtual assistants, providing instant responses and improving overall efficiency. As consumer preferences shifted, AI in e-commerce proved instrumental in helping businesses swiftly adapt their strategies, product offerings, and pricing models based on real-time data and predictive analytics. However, economic uncertainties and budget constraints led some businesses to delay or scale back their AI projects. Nevertheless, for those with the resources to invest, the pandemic underscored the critical role of AI in building resilient and adaptive e-commerce systems. In sum, the evolving dynamics of the AI in e-commerce market during the pandemic emphasize both its adaptability and its potential to shape the future of online retail.

Factors Driving the Market

Drivers

Adoption of AI technology in the e-commerce industry

The accelerated adoption of AI technology within the e-commerce industry is a powerful catalyst driving the robust growth of the AI in e-commerce market. This transformative integration of AI brings about a myriad of benefits, foremost among them being the enhancement of customer experiences. Through personalized recommendations, responsive chatbots, and tailored marketing campaigns powered by machine learning algorithms, e-commerce businesses foster customer satisfaction and loyalty, leading to increased retention and repeat business. Furthermore, AI's impact extends to optimizing search and discovery functionalities, enabling efficient inventory management, and fortifying security measures against fraud. The implementation of dynamic pricing strategies, supported by AI, ensures competitiveness and revenue maximization for e-commerce platforms. The ability of AI to process vast amounts of data swiftly facilitates data-driven decision-making, empowering businesses with insights for strategic planning and operational efficiency.

Supply chain optimization is another area where AI shines, predicting demand patterns, optimizing logistics, and streamlining distribution processes. This results in cost savings, reduced lead times, and an agile supply chain. Additionally, AI-driven chatbots and virtual assistants contribute to instant customer support, improving user navigation and reducing the workload on customer service teams. Beyond these operational advantages, the adoption of AI provides e-commerce businesses with a competitive edge, allowing them to stay ahead of industry trends and meet evolving customer expectations. The global expansion of e-commerce platforms is facilitated by AI's capabilities in language translation, cultural adaptation, and the provision of personalized experiences, leading to increased revenue streams and market growth.

Challenges

Lack of skilled AI talent

The growth of the AI in e-commerce market faces a substantial hurdle in the form of a scarcity of skilled AI talent. This shortage significantly impacts the industry by hampering innovation and hindering the successful implementation of advanced AI technologies. Prolonged development cycles for AI projects become inevitable, leading to missed opportunities for gaining a competitive edge and responding to evolving market trends. The increased demand for AI professionals also escalates costs, as businesses may need to offer higher salaries to attract and retain qualified experts. The quality of AI solutions is compromised in the face of inexperienced or inadequately trained teams, raising the risk of project failures, inefficiencies, or security vulnerabilities. E-commerce companies lacking access to skilled AI talent may find themselves at a competitive disadvantage, struggling to keep pace with industry leaders. Talent retention becomes a critical concern, with the constant poaching of experienced professionals disrupting ongoing AI projects. Addressing this skills gap requires collaborative efforts from educational institutions, businesses, and policymakers to establish training programs and initiatives that foster a more robust AI ecosystem. Such measures are essential to ensure the industry's sustained growth and competitiveness in the evolving landscape of e-commerce.

Trends

Surge in targeted marketing and advertising campaigns

The surge in targeted marketing and advertising campaigns is creating robust growth opportunities within the AI in e-commerce market. AI technologies, notably machine learning and predictive analytics, are instrumental in transforming these campaigns into highly efficient and personalized endeavors. By scrutinizing vast datasets encompassing customer behaviors, preferences, and purchase histories, AI facilitates the creation of hyper-personalized content, elevating the overall customer experience. Moreover, AI's prowess in precise audience segmentation ensures that marketing efforts are directed with pinpoint accuracy, reaching the most relevant and receptive consumer segments. Real-time data analysis enables adaptive content optimization, continually refining marketing messages based on user interactions.

Predictive analytics empowers businesses to forecast customer behavior, enabling the creation of targeted campaigns aligned with evolving consumer expectations. Through the seamless integration of AI, e-commerce platforms can implement dynamic retargeting strategies, delivering personalized incentives to potential customers and optimizing ad spend allocation for maximum impact. Additionally, the incorporation of AI-driven voice and visual search capabilities aligns campaigns with emerging consumer trends, cementing AI's pivotal role in navigating the evolving landscape of e-commerce marketing. In essence, the symbiotic relationship between AI and targeted marketing campaigns not only enhances the precision and relevance of promotional endeavors but also fuels substantial business growth by improving customer engagement, conversion rates, and overall return on investment.

Market Segmentation

By Technology

By Technology, the global Artificial Intelligence in E-commerce Market is divided into Natural Language Processing, Machine Learning, Computer Vision.

Within the AI in e-commerce sector, Machine Learning (ML) stands out as the predominant technology, commanding a substantial 38.6% market share in 2023. Renowned for its versatility, ML is extensively employed in e-commerce applications such as product recommendations, customer segmentation, and fraud detection. Leveraging sophisticated algorithms, machine learning systematically analyzes extensive datasets to discern patterns and trends, utilizing these insights to furnish accurate predictions and recommendations.

Simultaneously, Computer Vision (CV) emerges as the technology experiencing the most rapid growth in the AI in e-commerce market, boasting a remarkable Compound Annual Growth Rate (CAGR) of 19.13% from 2024 to 2032. CV's ascendancy is attributed to its proficiency in analyzing images and videos, including product visuals and customer webcams, enhancing functionalities such as product search, image recognition, and fraud detection. The capability of CV algorithms to recognize and comprehend objects, individuals, and scenes in visual content renders them exceptionally well-suited for a diverse array of e-commerce applications.
By Deployment

By Deployment, the Artificial Intelligence in E-commerce Market is divided by Cloud, On-premise.

In the landscape of AI integration in e-commerce, cloud-based solutions have taken the lead with 63.86% market share, offering e-commerce businesses unparalleled scalability, cost-efficiency, and ease of implementation. The cloud's adaptability to fluctuating workloads and its pay-as-you-go model align well with the dynamic nature of e-commerce operations. Accessibility from any location, continuous updates, and innovation further contribute to the cloud's dominance, addressing the collaborative and evolving needs of the e-commerce industry. Simultaneously, the on-premise model is experiencing rapid growth with 13.6% CAGR, driven by businesses that prioritize data security, compliance, and customization. For industries with specific regulatory requirements or those with a need for greater control over their infrastructure, on-premise solutions offer a compelling choice. The ability to integrate seamlessly with legacy systems, maintain data sovereignty, and optimize for low latency and high performance positions on-premise solutions as the fastest-growing segment in certain niches within the AI in e-commerce market. Ultimately, the coexistence of cloud and on-premise solutions underscores the diverse and evolving demands of the e-commerce sector.

By Application

By Application, the Artificial Intelligence in E-commerce Market is divided by Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Warehouse Automation, Merchandizing, Product Recommendation, Customer Service.

In the AI in e-commerce landscape, Customer Relationship Management (CRM) stands out as the leading force with 32% market share, driven by its pivotal role in fostering enhanced customer interactions and personalized experiences. Leveraging AI capabilities, CRM systems analyze vast amounts of customer data, preferences, and behaviors, enabling businesses to tailor their approaches and strategies. This personalized touch not only elevates the overall customer experience but also contributes significantly to increased customer satisfaction and loyalty. With predictive analytics, CRM systems empower businesses to forecast customer behavior, automate routine tasks, and make informed decisions, ultimately streamlining operations and boosting productivity.

On the other hand, the fastest-growing segment in the AI in e-commerce domain is supply chain analysis with 20.43% CAGR. This growth is attributed to AI's capacity to revolutionize efficiency in inventory management, demand forecasting, and logistics, offering real-time visibility into the supply chain. AI-driven supply chain analysis also plays a pivotal role in risk management, enabling businesses to proactively identify and address potential disruptions. With data-driven decision-making and enhanced collaboration among stakeholders, supply chain analysis fueled by AI is rapidly transforming the e-commerce landscape, ensuring adaptability and resilience in an ever-evolving market.

By Region

By region, the global Artificial Intelligence in E-commerce Market is divided into North America, Europe, APAC and Others. Others is further divided into Middle East, Africa and South America.

In 2023, North America emerged as the dominant force in the market and is poised to maintain its leadership position in the forecast period with 38.5% market share, driven by substantial investments in artificial intelligence solutions within government and public sectors. The utilization of artificial intelligence (AI) to automate industrial processes further contributes to the anticipated sustained growth of the Artificial Intelligence in E-Commerce Market.

Nevertheless, the Asia Pacific region is forecasted to experience significant expansion throughout the projection period with a 15.4% CAGR, propelled by economic and technical advancements fostering the adoption of artificial intelligence solutions. Consumer preferences in the region, emphasizing product quality, content, and pricing, also play a crucial role. North America boasts one of the highest internet penetration rates globally. The Middle East, Africa, and Latin America are expected to witness substantial growth in the coming years, driven by a youthful demographic and a rapidly expanding online shopping industry. The evaluation of the Global Artificial Intelligence in E-Commerce Market encompasses geographies such as North America, Europe, Asia Pacific, and the Rest of the World.

In 2023, North America made a substantial contribution to the global Artificial Intelligence in E-Commerce Market. The U.S., known for its technological prowess across various sectors from e-commerce to agriculture, stands out as a leading provider of high-tech solutions. Numerous U.S. businesses have embraced AI-driven e-commerce solutions, with notable examples like Netflix utilizing AI for personalized app recommendations. The country is channeling significant investments into technology, with a specific focus on advancing AI applications across industries. Simultaneously, Asia Pacific is anticipated to register the fastest growth rate in the global Artificial Intelligence in E-Commerce Market during the forecast period. The region is establishing itself as a hub for AI-driven solutions across diverse industries, including e-commerce.

Competitive Landscape

The global Artificial Intelligence in E-commerce Market is consolidated with the presence of few major players contributing to the market revenue. This dominance of these major players is driven by their technological expertise, extensive resources, and established brand recognition. These companies typically offered comprehensive and diversified solutions to end use industries.

  • com

Amazon.com, Inc. is a prominent American multinational technology corporation with a primary emphasis on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence. Recognized as "one of the most influential economic and cultural forces globally," it consistently ranks among the world's most valuable brands. Founded in 1994 by Jeff Bezos initially as an online bookstore, Amazon swiftly broadened its product range to encompass diverse items like electronics, clothing, and toys. The company went public in 1998, experiencing significant stock price growth since then.

  • Alibaba Group

Alibaba Group Holding Limited, known simply as Alibaba, is a Chinese multinational technology firm specializing in e-commerce, retail, Internet, and technology services. Established on April 4, 1999, in Hangzhou, China, the company offers a comprehensive range of consumer-to-consumer (C2C), business-to-consumer (B2C), and business-to-business (B2B) sales services through both Chinese and international online marketplaces. Additionally, Alibaba is involved in local consumer services, digital media and entertainment, as well as logistics and cloud computing. With a global presence and a diverse portfolio, Alibaba owns and manages various companies spanning multiple business sectors. As of 2022, it holds the distinction of being the world's largest e-commerce company by revenue.

  • com

JD.com, Inc., headquartered in Beijing, is a leading Chinese e-commerce company. Renowned as one of the two major B2C online retailers in China in terms of transaction volume and revenue, JD.com holds a position in the Fortune Global 500 and stands as a significant rival to Alibaba's Tmall. When categorized as a technology company, JD.com claims the top spot in China by revenue and secured the 7th position globally in 2021. Established by Liu Qiangdong on June 18, 1998, JD.com launched its retail platform in 2004. Initially focusing on magnetic tape and optical drives, the company swiftly diversified its offerings to include a wide array of products, spanning electronics, home appliances, and more.

  • eBay
  • Walmart
  • Apple
  • Microsoft
  • Google
  • Facebook
  • IBM
  • Adobe
  • Salesforce
  • SAP
  • Oracle
  • NVIDIA
  • Intel
  • Qualcomm
  • BAIDU
  • Tencent
  • ByteDance
  • Meituan
  • Pinduoduo

Recent Developments

  • In July 2021, LivePerson, Inc. acquired the German conversational A.I. company e-bot7, a move that strategically enhances LivePerson's self-service capabilities. This acquisition empowers businesses of all sizes to swiftly develop AI-powered interfaces. Furthermore, it supports LivePerson's ongoing expansion efforts across Europe.
  • In February 2021, LivePerson, Inc. introduced the A.I. Annotator, a groundbreaking solution designed to expedite brand-consumer protection. Leveraging agent knowledge, this innovation significantly accelerates the improvement of conversational A.I.
  • In June 2022, Zoovu secured an impressive $169 million in Series C funding. This financial boost is earmarked for expanding Zoovu's footprint in the United States and reinforcing its AI-based platform, which is utilized by industry giants such as Microsoft, Amazon, and 3M. Anticipating the continued surge in online shopping, brands and retailers are poised to prioritize enhancing digital experiences for consumers.
  • The July 2021 acquisition of e-bot7 by LivePerson was aimed at facilitating brands in implementing AI messaging capabilities. This strategic move positions LivePerson to fortify its market presence in key European regions, including the UK, France, Germany, Benelux, and other significant markets.
  • In April 2022, Amazon revealed plans to inject USD 1 billion into firms specializing in technologies related to supply chain management, logistics, safety, and warehouse management. The proposed introduction of the Amazon Industrial Innovation Fund is under consideration, to advance e-commerce delivery speeds and improve the overall work environment for logistics and warehousing employees.

Artificial Intelligence in E-commerce Market Scope

Report Components Details
Base Year

2023

Forecast Period

2024 – 2032

Quantitative Units

Revenue in US $ 

Drivers
  • Adoption of AI technology in the e-commerce industry
  • Advancements in AI technology
  • Growing demand for data-driven insights
  • Need for personalization and customization
Challenges
  • Data privacy and security concerns
  • Cost of implementation
  • Lack of skilled AI talent
  • Ethical concerns
Trends
  • New product and service development
  • Growing target marketing and advertising campaigns
  • Fraud detection and prevention
Segments Covered

By Technology (Natural Language Processing, Machine Learning, Computer Vision), By Deployment (Cloud, On-premise), by Application (Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Warehouse Automation, Merchandizing, Product Recommendation, Customer Service)

Countries Covered

U.S. and Canada in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the APAC, Others include Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA), Brazil, Argentina, Mexico, and Rest of South America as part of South America

Market Players Covered

Amazon.com, Alibaba Group, JD.com, eBay, Walmart, Apple, Microsoft, Google, Facebook, IBM, Adobe, Salesforce, SAP, Oracle, NVIDIA, Intel, Qualcomm, BAIDU, Tencent, ByteDance, Meituan, Pinduoduo

Table of Contents

1 INTRODUCTION OF GLOBAL ARTIFICIAL INTELLIGENCE IN E-COMMERCE MARKET

1.1 Overview of the Market

1.2 Scope of Report

1.3 Assumptions

 

2 EXECUTIVE SUMMARY

 

3 RESEARCH METHODOLOGY

3.1 Data Mining

3.2 Validation

3.3 Primary Interviews

3.4 List of Data Sources

 

4 GLOBAL ARTIFICIAL INTELLIGENCE IN E-COMMERCE MARKET OUTLOOK

4.1 Overview

4.2 Market Dynamics

4.2.1 Drivers

4.2.2 Restraints

4.2.3 Opportunities

4.3 Porters Five Force Model

4.3.1. Bargaining Power of Suppliers

4.3.2. Threat of New Entrants

4.3.3. Threat of Substitutes

4.3.4. Competitive Rivalry

4.3.5. Bargaining Power among Buyers

4.4 Value Chain Analysis

5 GLOBAL ARTIFICIAL INTELLIGENCE IN E-COMMERCE MARKET, BY TECHNOLOGY

5.1 Overview

5.2 Natural Language Processing

5.3 Machine Learning

5.4 Computer Vision

6 GLOBAL ARTIFICIAL INTELLIGENCE IN E-COMMERCE MARKET, BY APPLICATION

6.1 Overview

6.2 Customer Relationship Management

6.3 Supply Chain Analysis

6.4 Fake Review Analysis

6.5 Warehouse Automation

6.6 Merchandizing

6.7 Product Recommendation

6.8 Customer Service

7 GLOBAL ARTIFICIAL INTELLIGENCE IN E-COMMERCE MARKET, BY DEPLOYMENT

7.1 Overview

7.2 Cloud

7.3 On-premises

8 GLOBAL ARTIFICIAL INTELLIGENCE IN E-COMMERCE MARKET, By REGION

8.1 North America

8.1.1 U.S.

8.1.2 Canada

8.2 Europe

8.2.1 Germany

8.2.3 U.K.

8.2.4 France

8.2.5 Rest of Europe

8.3 Asia Pacific

8.3.1 China

8.3.2 Japan

8.3.3 India

8.3.4 South Korea

8.3.5 Singapore

8.3.6 Malaysia

8.3.7 Australia

8.3.8 Thailand

8.3.9 Indonesia

8.3.10 Philippines

8.3.11 Rest of Asia Pacific

8.4 Others

8.4.1 Saudi Arabia

8.4.2 U.A.E.

8.4.3 South Africa

8.4.4 Egypt

8.4.5 Israel

8.4.6 Rest of Middle East and Africa (MEA)

8.4.7 Brazil

8.4.8 Argentina

8.4.9 Mexico

8.4.10 Rest of South America

9 COMPANY PROFILES

9.1 Amazon.com

9.1.1. Company Overview

9.1.2. Key Executives

9.1.3. Operating Business Segments

9.1.4. Product Portfolio

9.1.5. Financial Performance (As per availability)

9.1.6 Key News

 

9.2 Alibaba Group

9.2.1. Company Overview

9.2.2. Key Executives

9.2.3. Operating Business Segments

9.2.4. Product Portfolio

9.2.5. Financial Performance (As per availability)

9.2.6. Key News

 

9.3 JD.Com

9.3.1. Company Overview

9.3.2. Key Executives

9.3.3. Operating Business Segments

9.3.4. Product Portfolio

9.3.5. Financial Performance (As per availability)

9.3.6. Key News

 

9.4  eBay

9.4.1. Company Overview

9.4.2. Key Executives

9.4.3. Operating Business Segments

9.4.4. Product Portfolio

9.4.5. Financial Performance (As per availability)

9.4.6. Key News

 

9.5 Walmart

9.5.1. Company Overview

9.5.2. Key Executives

9.5.3. Operating Business Segments

9.5.4. Product Portfolio

9.5.5. Financial Performance (As per availability)

9.5.6. Key News

 

9.6 Apple

9.6.1. Company Overview

9.6.2. Key Executives

9.6.3. Operating Business Segments

9.6.4. Product Portfolio

9.6.5. Financial Performance (As per availability)

9.6.6. Key News

 

9.7 Microsoft

9.7.1. Company Overview

9.7.2. Key Executives

9.7.3. Operating Business Segments

9.7.4. Product Portfolio

9.7.5. Financial Performance (As per availability)

9.7.6. Key News

 

9.8 Google

9.8.1. Company Overview

9.8.2. Key Executives

9.8.3. Operating Business Segments

9.8.4. Product Portfolio

9.8.5. Financial Performance (As per availability)

9.8.6. Key News

 

9.9 Facebook

9.9.1. Company Overview

9.9.2. Key Executives

9.9.3. Operating Business Segments

9.9.4. Product Portfolio

9.9.5. Financial Performance (As per availability)

9.9.6. Key News

 

9.10 IBM

9.10.1. Company Overview

9.10.2. Key Executives

9.10.3. Operating Business Segments

9.10.4. Product Portfolio

9.10.5. Financial Performance (As per availability)

9.10.6. Key News

 

9.11 Adobe

9.11.1. Company Overview

9.11.2. Key Executives

9.11.3. Operating Business Segments

9.11.4. Product Portfolio

9.11.5. Financial Performance (As per availability)

9.11.6. Key News

 

9.12 Salesforce

9.12.1. Company Overview

9.12.2. Key Executives

9.12.3. Operating Business Segments

9.12.4. Product Portfolio

9.12.5. Financial Performance (As per availability)

9.12.6. Key News

 

9.13 SAP

9.13.1. Company Overview

9.13.2. Key Executives

9.13.3. Operating Business Segments

9.13.4. Product Portfolio

9.13.5. Financial Performance (As per availability)

9.13.6. Key News

 

9.14  Oracle

9.14.1. Company Overview

9.14.2. Key Executives

9.14.3. Operating Business Segments

9.14.4. Product Portfolio

9.14.5. Financial Performance (As per availability)

9.14.6. Key News

 

9.15 NVIDIA

9.15.1. Company Overview

9.15.2. Key Executives

9.15.3. Operating Business Segments

9.15.4. Product Portfolio

9.15.5. Financial Performance (As per availability)

9.15.6. Key News

 

9.16 Intel

9.16.1. Company Overview

9.16.2. Key Executives

9.16.3. Operating Business Segments

9.16.4. Product Portfolio

9.16.5. Financial Performance (As per availability)

9.16.6. Key News

 

9.17 Qualcomm

9.17.1. Company Overview

9.17.2. Key Executives

9.17.3. Operating Business Segments

9.17.4. Product Portfolio

9.17.5. Financial Performance (As per availability)

9.17.6. Key News

 

9.18 Baidu

9.18.1. Company Overview

9.18.2. Key Executives

9.18.3. Operating Business Segments

9.18.4. Product Portfolio

9.18.5. Financial Performance (As per availability)

9.18.6. Key News

 

9.19 Tencent

9.19.1. Company Overview

9.19.2. Key Executives

9.19.3. Operating Business Segments

9.19.4. Product Portfolio

9.19.5. Financial Performance (As per availability)

9.19.6. Key News

 

9.20 ByteDance

9.20.1. Company Overview

9.20.2. Key Executives

9.20.3. Operating Business Segments

9.20.4. Product Portfolio

9.20.5. Financial Performance (As per availability)

9.20.6. Key News

 

9.21 Meituan

9.21.1. Company Overview

9.21.2. Key Executives

9.21.3. Operating Business Segments

9.21.4. Product Portfolio

9.21.5. Financial Performance (As per availability)

9.21.6. Key News

 

9.22 Pinduoduo

9.22.1. Company Overview

9.22.2. Key Executives.

9.22.3. Operating Business Segments

9.22.4. Product Portfolio

9.22.5. Financial Performance (As per availability)

9.22.6. Key News

Global Artificial Intelligence in E-commerce Market Segmentation

Artificial Intelligence in E-commerce by Technology: Market Size & Forecast 2023-2032

  • Natural Language Processing
  • Machine Learning
  • Computer Vision

Artificial Intelligence in E-commerce by Application: Market Size & Forecast 2023-2032

  • Customer Relationship Management
  • Supply Chain Analysis
  • Fake Review Analysis
  • Warehouse Automation
  • Merchandizing
  • Product Recommendation
  • Customer Service

Artificial Intelligence in E-commerce by Deployment: Market Size & Forecast 2023-2032

  • Cloud
  • On-premises

Artificial Intelligence in E-commerce by Geography: Market Size & Forecast 2023-2032

  • North America (USA, Canada, Mexico)
  • Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
  • Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
  • South America (Brazil, Argentina, Columbia, Rest of South America)
  • Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)

Major Players:

  • com
  • Alibaba Group
  • com
  • eBay
  • Walmart
  • Apple
  • Microsoft
  • Google
  • Facebook
  • IBM
  • Adobe
  • Salesforce
  • SAP
  • Oracle
  • NVIDIA
  • Intel
  • Qualcomm
  • BAIDU
  • Tencent
  • ByteDance
  • Meituan
  • Pinduoduo

Frequently Asked Questions


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