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Artificial Intelligence in E-commerce Market By Technology (NPL, Deep Learning and Others) By Application, By Deployment - Global Industry Outlook, Key Companies (Oracle Corp, Google LLC and others), Trends and Forecast 2023-2032

Published on : October-2023  Report Code : RC-761  Pages Count : 251  Report Format : PDF
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Market Overview

The Global Artificial Intelligence in E-commerce Market is expected to reach a value of USD 7.1 billion in 2023, and it is further anticipated to reach a market value of USD 25.1 billion by 2032 at a CAGR of 15.1%. The market has seen a significant increase in the recent past and is predicted to grow significantly during the forecasted period as well.

Artificial Intelligence in E-commerce Market Growth Analysis

AI plays a crucial role in e-commerce marketing by allowing businesses to gain insights into customer behavior & emerging trends, encouraging the creation of highly customized advertising, marketing initiatives, & promotions. Marketers give more importance to generative AI tools to efficiently scale their content production & ensure message alignment with their target audience. Additionally, AI supports retargeting potential customers through an omnichannel approach, pleasing them to make purchases of products and services.

AI solutions in e-commerce are in high demand due to consumer expectations of more tailored offerings and personalized experiences. AI allows e-commerce businesses to use personalized marketing strategies, refine product recommendations and offer better post-purchase customer service - not to mention using predictive analytics and automation for improved decision making and sales performance.

Emerging opportunities in the market include using generative AI for content production, product descriptions and digital advertising purposes as well as virtual shopping experiences. Retailers are exploring AI's use in virtual shopping environments. Data privacy issues and integration complexities remain challenges that businesses must face to fully capitalize on AI's potential.

Artificial Intelligence (AI) in e-commerce is growing quickly; global retail revenue driven by AI reached USD 7 billion by 2023. AI adoption across e-commerce is revolutionizing customer service with over 60% of businesses using chatbots for engagement enhancement; 70% of retailers implement personalized product recommendations resulting in up to 25% increases in sales.

AI-powered solutions also improve operations. Around 40% of inventory management is now optimized with AI, helping reduce stockouts by 30%. Also, in marketing AI ads have shown a 20% improvement in ROI for e-commerce companies while supply chain operations using AI have reduced operating costs by 15%, showing its growing use as an enabler of greater industry efficiency.

Market Dynamic

Artificial intelligence is driving a major revolution in online shopping, fundamentally evolving the market by predicting buying trends based on customer purchase patterns & timing. One essential area where AI's predictive analytics are making a big impact is inventory management in e-commerce. Given the limitations in storage capacity & budget constraints, efficient inventory prioritization is essential. Keeping stock up-to-date, well-organized, and ordered in advance based on projected customer needs is crucial. 

The extent of product and service personalization plays a major role in customer retention. An effective strategy to enhance client loyalty includes delivering personalized marketing content & customized shopping experiences to target audiences. Further AI technologies, mainly deep learning & statistical modeling, empower e-commerce retailers to analyze large data, including consumer behavior & demographics. 

With these insights, retailers can craft customized advertisements, send targeted emails, recommend products, & set pricing customized specifically to individual customers. Intelligent personalization allows online businesses to establish stronger emotional connections with their customers, ultimately creating higher levels of customer loyalty and retention thus driving the growth of the market.

Research Scope and Analysis

By Technology

In terms of technology, the segment that dominates the market in 2023 is natural language processing or NLP, which is further anticipated to play a major role in driving the growth of global artificial intelligence in the e-commerce market, which is mainly driven by NLP's capacity to improve user search customization. E-commerce retailers are turning to NLP to strongly categorize products & engage potential customers by providing personalized product or service recommendations. Also, NLP has been sought after for its affordability in solutions, its ability to analyze sentiments, & its accomplishing of intelligent search functionality.

Further, NLP's impact on artificial intelligence in the e-commerce market is significant, as it not only enhances user experience but also provides businesses with valuable tools for product categorization, recommendation systems, & sentiment analysis.

By Application

In terms of applications within the Global Artificial Intelligence in E-commerce Market, there is a significant growth anticipated in warehouse automation throughout the forecasted period, which can be said owing to the growing adoption of IoT sensors for automating alert systems & inventory tracking. Further current trends in hyper-automation are anticipated to optimize warehousing operations through the integration of AI-powered smart robots, which can improve productivity & efficiency for e-commerce businesses by facilitating seamless warehouse management.

Artificial Intelligence in E-commerce Market Application Analysis

By Deployment

In terms of deployment, the cloud-based platform holds the largest share of the global market in 2023, mainly due to its scalability & efficient inventory management capabilities. Moreover, the cloud offers advanced features like live data & analytics for accurate inventory forecasting, empowering e-commerce businesses to provide customized experiences & adapt quickly. Further, stakeholders anticipate that cloud computing will play a major role in improving the e-commerce sector by providing scalable architecture & insights into traffic, demand fluctuations, and seasonal growths.

The Global Artificial Intelligence in E-commerce Market Report is segmented based on the following:

By Technology

  • NPL
  • Deep Learning
  • Machine Learning

By Application

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

By Deployment

  • Cloud
  • On-Premise

Regional Analysis

North America emerges as the dominant player in the market with a major share of 30.9% of the total revenue in the global AI in e-commerce market & is anticipated to maintain its leadership throughout the forecast period, mainly driven by large investments in AI solutions within government & public sectors. Moreover, the adoption of AI technology for industrial machinery automation is anticipated to further drive the growth of Artificial Intelligence in the E-Commerce Market in the coming years as well.
 
Artificial Intelligence in E-commerce Market Regional Analysis

Further, Asia Pacific is also anticipated to witness significant growth in the coming future as well, owing to both economic & technological advancements in the region. These developments are expected to give strong assistance for the continuous expansion of artificial intelligence solutions during the forecasted period.

By Region

North America
  • The U.S.
  • Canada
Europe
  • Germany
  • The U.K.
  • France
  • Italy
  • Russia
  • Spain
  • Benelux
  • Nordic
  • Rest of Europe
Asia-Pacific
  • China
  • Japan
  • South Korea
  • India
  • ANZ
  • ASEAN
  • Rest of Asia-Pacific
Latin America
  • Brazil
  • Mexico
  • Argentina
  • Colombia
  • Rest of Latin America
Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Israel
  • Egypt
  • Rest of MEA

Competitive Landscape

The competitive landscape of Global Artificial Intelligence in E-commerce Market experiences intense rivalry among key players, including tech giants like Amazon, Microsoft, IBM, and more along with various startups specializing in AI-driven e-commerce solutions. These companies are involved in developing innovative AI tools that can personalize shopping experiences, optimize supply chains, & enhance customer service. In addition, market leaders are also expanding their reach through strategic acquisitions & partnerships, further intensifying the competition in this dynamic sector, while smaller players aim at niche markets & specialized AI applications to increase their presence and market share.

For instance, In April 2022, Amazon announced its plans to allocate an investment of USD 1 billion toward startups & firms working on advancements in supply chain management, logistics, safety, &warehouse management technologies. Additionally, the company plans to launch the Amazon Industrial Innovation Fund, focused on expanding e-commerce delivery efficiency & enhancing the overall work environment for employees in logistics & warehousing operations.

Some of the prominent players in the Global Artificial Intelligence in E-commerce Market are:
  • Oracle Corp
  • Google LLC
  • Apple Inc
  • Amazon Web Services
  • SAP SE
  • Microsoft Corp
  • Intel Corp
  • NVIDIA
  • IBM Corp
  • Siemens
  • Other Key Players

COVID-19 Pandemic & Recession: Impact on the Global Artificial Intelligence in E-commerce Market

The COVID-19 pandemic and the following economic recession had a mixed impact on global artificial intelligence in the e-commerce market. While at the start disruptions caused challenges in supply chains & limited consumer spending, e-commerce platforms largely turned to AI solutions to optimize operations, improve customer experiences, & adjust to evolving consumer behaviors, which led to an increase in the adoption of AI technologies in the e-commerce sector, supporting businesses navigate the uncertainties & capitalize on growing opportunities in the digital marketplace.

Report Details

                                  Report Characteristics
Market Size (2023) USD 7.1 Bn
Forecast Value (2032) USD 25.1 Bn
CAGR (2023-2032) 15.1%
Historical Data 2018 – 2023
Forecast Data 2024 – 2033
Base Year 2023
Estimate Year 2024
Report Coverage Market Revenue Estimation, Market Dynamics, Competitive Landscape, Growth Factors and etc.
Segments Covered By Technology (NPL, Deep Learning and Machine Learning), By Application (Wearhouse Automation, Supply Chain Analysis, Customer Relationship Management, Product Recommendation, Merchandizing, Fake Review Analysis and Customer Service), By Deployment (Cloud and On-Premise)
Regional Coverage North America – The US and Canada; Europe – Germany, The UK, France, Russia, Spain, Italy, Benelux, Nordic, & Rest of Europe; Asia- Pacific– China, Japan, South Korea, India, ANZ, ASEAN, Rest of APAC; Latin America – Brazil, Mexico, Argentina, Colombia, Rest of Latin America; Middle East & Africa – Saudi Arabia, UAE, South Africa, Turkey, Egypt, Israel, & Rest of MEA
Prominent Players Oracle Corp, Google LLC, Apple Inc, Amazon Web Services, SAP SE, Microsoft Corp, Intel Corp, NVIDIA, IBM Corp, Siemens and Other Key Players
Purchase Options We have three licenses to opt for: Single User License (Limited to 1 user), Multi-User License (Up to 5 Users), and Corporate Use License (Unlimited User) along with free report customization equivalent to 0 analyst working days, 3 analysts working days and 5 analysts working days respectively.

 

Frequently Asked Questions

  • How big is the Global Artificial Intelligence in E-commerce Market?

    The Global Artificial Intelligence in E-commerce Market is estimated to reach USD 7.1 billion in 2023, which is further expected to reach USD 25.1 billion by 2032.

  • Which region accounted for the largest Global Artificial Intelligence in E-commerce Market?

    North America dominates the Global Artificial Intelligence in E-commerce Market with a share of 30.9% in 2023.

  • Who are the key players in the Global Artificial Intelligence in E-commerce Market?

    Some of the major key players in the Global Artificial Intelligence in E-commerce Market are Google, IBM, Amazon, and many others.

  • What is the growth rate in the Global Artificial Intelligence in E-commerce Market?

    The market is growing at a CAGR of 15.1 percent over the forecasted period.

  • Contents

      1.Introduction
        1.1.Objectives of the Study
        1.2.Market Scope
        1.3.Market Definition and Scope
      2.Artificial Intelligence in E-commerce Market Overview
        2.1.Global Artificial Intelligence in E-commerce Market Overview by Type
        2.2.Global Artificial Intelligence in E-commerce Market Overview by Application
      3.Artificial Intelligence in E-commerce Market Dynamics, Opportunity, Regulations, and Trends Analysis
        3.1.Market Dynamics
          3.1.1.Artificial Intelligence in E-commerce Market Drivers
          3.1.2.Artificial Intelligence in E-commerce Market Opportunities
          3.1.3.Artificial Intelligence in E-commerce Market Restraints
          3.1.4.Artificial Intelligence in E-commerce Market Challenges
        3.2.Emerging Trend/Technology
        3.3.PESTLE Analysis
        3.4.PORTER'S Five Forces Analysis
        3.5.Technology Roadmap
        3.6.Opportunity Map Analysis
        3.7.Case Studies
        3.8.Opportunity Orbits
        3.9.Pricing Analysis
        3.10.Ecosystem Analysis
        3.11.Supply/Value Chain Analysis
        3.12.Covid-19 & Recession Impact Analysis
        3.13.Product/Brand Comparison
      4.Global Artificial Intelligence in E-commerce Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Technology, 2017-2032
        4.1.Global Artificial Intelligence in E-commerce Market Analysis by By Technology: Introduction
        4.2.Market Size and Forecast by Region
        4.3.NPL
        4.4.Deep Learning
        4.5.Machine Learning
      5.Global Artificial Intelligence in E-commerce Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Application, 2017-2032
        5.1.Global Artificial Intelligence in E-commerce Market Analysis by By Application: Introduction
        5.2.Market Size and Forecast by Region
        5.3.Warehouse Automation
        5.4.Supply Chain Analysis
        5.5.Customer Relationship Management
        5.6.Product Recommendation
        5.7.Merchandizing
        5.8.Fake Review Analysis
        5.9.Customer Service
      6.Global Artificial Intelligence in E-commerce Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Deployment, 2017-2032
        6.1.Global Artificial Intelligence in E-commerce Market Analysis by By Deployment: Introduction
        6.2.Market Size and Forecast by Region
        6.3.Cloud
        6.4.On-Premise
      10.Global Artificial Intelligence in E-commerce Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by Region, 2017-2032
        10.1.North America
          10.1.1.North America Artificial Intelligence in E-commerce Market: Regional Analysis, 2017-2032
            10.1.1.1.The US
            10.1.1.2.Canada
        10.2.1.Europe
          10.2.1.Europe Artificial Intelligence in E-commerce Market: Regional Trend Analysis
            10.2.1.1.Germany
            10.2.1.2.France
            10.2.1.3.UK
            10.2.1.4.Russia
            10.2.1.5.Italy
            10.2.1.6.Spain
            10.2.1.7.Nordic
            10.2.1.8.Benelux
            10.2.1.9.Rest of Europe
        10.3.Asia-Pacific
          10.3.1.Asia-Pacific Artificial Intelligence in E-commerce Market: Regional Analysis, 2017-2032
            10.3.1.1.China
            10.3.1.2.Japan
            10.3.1.3.South Korea
            10.3.1.4.India
            10.3.1.5.ANZ
            10.3.1.6.ASEAN
            10.3.1.7.Rest of Asia-Pacifc
        10.4.Latin America
          10.4.1.Latin America Artificial Intelligence in E-commerce Market: Regional Analysis, 2017-2032
            10.4.1.1.Brazil
            10.4.1.2.Mexico
            10.4.1.3.Argentina
            10.4.1.4.Colombia
            10.4.1.5.Rest of Latin America
        10.5.Middle East and Africa
          10.5.1.Middle East and Africa Artificial Intelligence in E-commerce Market: Regional Analysis, 2017-2032
            10.5.1.1.Saudi Arabia
            10.5.1.2.UAE
            10.5.1.3.South Africa
            10.5.1.4.Israel
            10.5.1.5.Egypt
            10.5.1.6.Turkey
            10.5.1.7.Rest of MEA
      11.Global Artificial Intelligence in E-commerce Market Company Evaluation Matrix, Competitive Landscape, Market Share Analysis, and Company Profiles
        11.1.Market Share Analysis
        11.2.Company Profiles
          11.3.1.Company Overview
          11.3.2.Financial Highlights
          11.3.3.Product Portfolio
          11.3.4.SWOT Analysis
          11.3.5.Key Strategies and Developments
        11.4.Oracle Corp
          11.4.1.Company Overview
          11.4.2.Financial Highlights
          11.4.3.Product Portfolio
          11.4.4.SWOT Analysis
          11.4.5.Key Strategies and Developments
        11.5.Google LLC
          11.5.1.Company Overview
          11.5.2.Financial Highlights
          11.5.3.Product Portfolio
          11.5.4.SWOT Analysis
          11.5.5.Key Strategies and Developments
        11.6.Apple Inc
          11.6.1.Company Overview
          11.6.2.Financial Highlights
          11.6.3.Product Portfolio
          11.6.4.SWOT Analysis
          11.6.5.Key Strategies and Developments
        11.7.Amazon Web Services
          11.7.1.Company Overview
          11.7.2.Financial Highlights
          11.7.3.Product Portfolio
          11.7.4.SWOT Analysis
          11.7.5.Key Strategies and Developments
        11.8.SAP SE
          11.8.1.Company Overview
          11.8.2.Financial Highlights
          11.8.3.Product Portfolio
          11.8.4.SWOT Analysis
          11.8.5.Key Strategies and Developments
        11.9.Microsoft Corp
          11.9.1.Company Overview
          11.9.2.Financial Highlights
          11.9.3.Product Portfolio
          11.9.4.SWOT Analysis
          11.9.5.Key Strategies and Developments
        11.10.Intel Corp
          11.10.1.Company Overview
          11.10.2.Financial Highlights
          11.10.3.Product Portfolio
          11.10.4.SWOT Analysis
          11.10.5.Key Strategies and Developments
        11.11.NVIDIA
          11.11.1.Company Overview
          11.11.2.Financial Highlights
          11.11.3.Product Portfolio
          11.11.4.SWOT Analysis
          11.11.5.Key Strategies and Developments
        11.12.IBM Corp
          11.12.1.Company Overview
          11.12.2.Financial Highlights
          11.12.3.Product Portfolio
          11.12.4.SWOT Analysis
          11.12.5.Key Strategies and Developments
        11.13.Siemens
          11.13.1.Company Overview
          11.13.2.Financial Highlights
          11.13.3.Product Portfolio
          11.13.4.SWOT Analysis
          11.13.5.Key Strategies and Developments
        11.14.Other Key Players
          11.14.1.Company Overview
          11.14.2.Financial Highlights
          11.14.3.Product Portfolio
          11.14.4.SWOT Analysis
          11.14.5.Key Strategies and Developments
      12.Assumptions and Acronyms
      13.Research Methodology
      14.Contact
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