United States (US) Artificial Intelligence in E-commerce Market (2025-2031) | Value, Trends, Competitive Landscape, Share, Analysis, Segmentation, Companies, Size & Revenue, Forecast, Growth, Industry, Outlook

Name: United States (US) Artificial Intelligence in E-commerce Market (2025-2031) | Value & Trends
Creator: 6Wresearch
License: https://www.6wresearch.com/privacy-policy

Market Forecast By End User (IT and Telecommunication, Retail and E-Commerce, BFSI, Healthcare, Manufacturing, Automotive, Others) And Competitive Landscape

Product Code: ETC9959595	Publication Date: Sep 2024	Updated Date: Aug 2025	Product Type: Market Research Report
Publisher: 6Wresearch	Author: Vasudha	No. of Pages: 75	No. of Figures: 35	No. of Tables: 20

Key Highlights of the Report:

United States (US) Artificial Intelligence in E-commerce Market Outlook
Market Size of United States (US) Artificial Intelligence in E-commerce Market, 2024
Forecast of United States (US) Artificial Intelligence in E-commerce Market, 2031
Historical Data and Forecast of United States (US) Artificial Intelligence in E-commerce Revenues & Volume for the Period 2021- 2031
United States (US) Artificial Intelligence in E-commerce Market Trend Evolution
United States (US) Artificial Intelligence in E-commerce Market Drivers and Challenges
United States (US) Artificial Intelligence in E-commerce Price Trends
United States (US) Artificial Intelligence in E-commerce Porter's Five Forces
United States (US) Artificial Intelligence in E-commerce Industry Life Cycle
Historical Data and Forecast of United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume By End User for the Period 2021- 2031
Historical Data and Forecast of United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume By IT and Telecommunication for the Period 2021- 2031
Historical Data and Forecast of United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume By Retail and E-Commerce for the Period 2021- 2031
Historical Data and Forecast of United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume By BFSI for the Period 2021- 2031
Historical Data and Forecast of United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume By Healthcare for the Period 2021- 2031
Historical Data and Forecast of United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume By Manufacturing for the Period 2021- 2031
Historical Data and Forecast of United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume By Automotive for the Period 2021- 2031
Historical Data and Forecast of United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume By Others for the Period 2021- 2031
United States (US) Artificial Intelligence in E-commerce Import Export Trade Statistics
Market Opportunity Assessment By End User
United States (US) Artificial Intelligence in E-commerce Top Companies Market Share
United States (US) Artificial Intelligence in E-commerce Competitive Benchmarking By Technical and Operational Parameters
United States (US) Artificial Intelligence in E-commerce Company Profiles
United States (US) Artificial Intelligence in E-commerce Key Strategic Recommendations

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1 Executive Summary

2 Introduction

2.1 Key Highlights of the Report

2.2 Report Description

2.3 Market Scope & Segmentation

2.4 Research Methodology

2.5 Assumptions

3 United States (US) Artificial Intelligence in E-commerce Market Overview

3.1 United States (US) Country Macro Economic Indicators

3.2 United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume, 2021 & 2031F

3.3 United States (US) Artificial Intelligence in E-commerce Market - Industry Life Cycle

3.4 United States (US) Artificial Intelligence in E-commerce Market - Porter's Five Forces

3.5 United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume Share, By End User, 2021 & 2031F

4 United States (US) Artificial Intelligence in E-commerce Market Dynamics

4.1 Impact Analysis

4.2 Market Drivers

4.2.1 Increasing demand for personalized shopping experiences

4.2.2 Growing adoption of AI-powered chatbots for customer service

4.2.3 Rise in online shopping and e-commerce activities

4.3 Market Restraints

4.3.1 High initial investment required for implementing AI technology

4.3.2 Data privacy concerns and regulations impacting AI usage in e-commerce

4.3.3 Lack of skilled professionals in AI and e-commerce sectors

5 United States (US) Artificial Intelligence in E-commerce Market Trends

6 United States (US) Artificial Intelligence in E-commerce Market, By Types

6.1 United States (US) Artificial Intelligence in E-commerce Market, By End User

6.1.1 Overview and Analysis

6.1.2 United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume, By End User, 2021- 2031F

6.1.3 United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume, By IT and Telecommunication, 2021- 2031F

6.1.4 United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume, By Retail and E-Commerce, 2021- 2031F

6.1.5 United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume, By BFSI, 2021- 2031F

6.1.6 United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume, By Healthcare, 2021- 2031F

6.1.7 United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume, By Manufacturing, 2021- 2031F

6.1.8 United States (US) Artificial Intelligence in E-commerce Market Revenues & Volume, By Automotive, 2021- 2031F

7 United States (US) Artificial Intelligence in E-commerce Market Import-Export Trade Statistics

7.1 United States (US) Artificial Intelligence in E-commerce Market Export to Major Countries

7.2 United States (US) Artificial Intelligence in E-commerce Market Imports from Major Countries

8 United States (US) Artificial Intelligence in E-commerce Market Key Performance Indicators

8.1 Customer engagement metrics (e.g., average session duration, click-through rates)

8.2 Conversion rate optimization (e.g., conversion rate by channel, cart abandonment rate)

8.3 Customer satisfaction scores (e.g., Net Promoter Score, customer feedback ratings)

9 United States (US) Artificial Intelligence in E-commerce Market - Opportunity Assessment

9.1 United States (US) Artificial Intelligence in E-commerce Market Opportunity Assessment, By End User, 2021 & 2031F

10 United States (US) Artificial Intelligence in E-commerce Market - Competitive Landscape

10.1 United States (US) Artificial Intelligence in E-commerce Market Revenue Share, By Companies, 2024

10.2 United States (US) Artificial Intelligence in E-commerce Market Competitive Benchmarking, By Operating and Technical Parameters

11 Company Profiles

12 Recommendations

13 Disclaimer

Africa Artificial Intelligence in E-commerce Market

Equatorial Guinea Artificial Intelligence in E-commerce Market

Eritrea Artificial Intelligence in E-commerce Market

Estonia Artificial Intelligence in E-commerce Market

Ethiopia Artificial Intelligence in E-commerce Market

Fiji Artificial Intelligence in E-commerce Market

Global Artificial Intelligence in E-commerce Market

Middle East Artificial Intelligence in E-commerce Market

North America Artificial Intelligence in E-commerce Market

Export potential assessment - trade Analytics for 2030

Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.

By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.

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