查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1356783

商业人工智慧市场报告：2030 年趋势、预测与竞争分析

Commerce Artificial Intelligence Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3个工作天内

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

简介目录

商业人工智慧趋势和预测

预计到 2030 年，全球商业人工智慧市场将达到 64 亿美元，2024 年至 2030 年年复合成长率为 13.2%。该市场的主要驱动因素是工业界对智慧商务的日益偏好以及该技术在不断扩大的电子商务行业中的日益部署。全球商业人工智慧市场的未来前景广阔，在客户关係管理、供应链分析、虚假评论分析、商品推销、仓库自动化、产品推荐、客户服务和车队管理市场方面存在商机。

商业人工智慧市场洞察

Lucintel 预测，由于电子商务在该平台上广泛使用商业人工智慧来创建有用的商业见解，预计电子商务将在预测期内呈现高速成长。

由于越来越多地使用机器人来自动化和加速任务，预计仓库自动化在预测期内将出现高速成长。

由于政府和私营部门对人工智慧技术进步的大量投资以及该地区主要参与者的存在，预计北美在预测期内将出现最高的成长。

本报告回答了 11 个关键问题：

  • Q.1. 细分市场中最有前途和高成长的机会是什么？
  • Q.2.哪个细分市场将以更快的速度成长？为什么？
  • Q.3.您认为哪些地区未来会出现更快的成长？为什么？
  • Q.4. 影响市场动态的主要因素有哪些？市场的主要挑战和商业风险是什么？
  • Q.5. 这个市场的商业风险和竞争威胁是什么？
  • Q.6.这个市场有哪些新趋势？为什么？
  • Q.7.市场客户需求有何改变？
  • Q.8. 该市场有哪些新发展以及哪些公司处于领先地位？
  • Q.9.这个市场的主要企业有哪些？主要企业采取哪些策略配合措施来发展业务？
  • Q.10. 该市场上的竞争产品有哪些？由于材料或产品替代而导致市场占有率下降的威胁有多大？
  • Q.11.过去年度发生了哪些併购事件，对产业产生了哪些影响？

目录

第1章执行摘要

第2章全球商业人工智慧市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第3章2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球商业人工智慧市场趋势（2018-2023）与预测（2024-2030）
  • 按平台分類的全球商业人工智慧市场
    • 电子商务
    • 有存货
  • 按技术分類的全球商业人工智慧市场
    • 深度学习
    • 机器学习
    • NLP
    • 其他的
  • 全球商业人工智慧市场（按应用）
    • 客户关係管理
    • 供应链分析
    • 虚假评论分析
    • 商品推销
    • 仓库自动化
    • 产品推荐
    • 客户服务
    • 车队的管理
    • 其他的
  • 按最终用途产业分類的全球商业人工智慧市场
    • 零售
    • 电子产品
    • 物流
    • 食品和饮料
    • 其他的

第4章2018-2030年分地区市场趋势及预测分析

  • 全球商业人工智慧市场区域分布
  • 北美商业人工智慧市场
  • 欧洲商业人工智慧市场
  • 亚太商业人工智慧市场
  • 其他区域商业人工智慧市场

第5章竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第6章成长机会与策略分析

  • 成长机会分析
    • 按平台分類的全球商业人工智慧市场成长机会
    • 全球商业人工智慧市场成长机会（按技术）
    • 全球商业人工智慧市场成长机会（按应用）
    • 最终用途产业的全球商业人工智慧市场成长机会
    • 全球商业人工智慧市场成长机会（按地区）
  • 全球商业人工智慧市场的新兴趋势
  • 战略分析
    • 新产品开发
    • 全球商业人工智慧市场容量扩张
    • 全球商业人工智慧市场的合併、收购与合资
    • 认证和许可

第7章主要企业概况

  • Microsoft
  • SAP
  • Amazon
  • Alphabet
  • IBM
简介目录

Commerce Artificial Intelligence Trends and Forecast

The future of the global commerce artificial intelligence market looks promising with opportunities in the customer relationship management, supply chain analysis, fake review analysis, merchandising, warehouse automation, product recommendation, customer service, and fleet management markets. The global commerce artificial intelligence market is expected to reach an estimated $6.4 billion by 2030 with a CAGR of 13.2% from 2024 to 2030. The major drivers for this market are growing preference for smart commercialism in industries and rising deployment of this technology in the expanding e-commerce industry.

A more than 150-page report is developed to help in your business decisions.

Commerce Artificial Intelligence by Segment

The study includes a forecast for the global commerce artificial intelligence by platform, technology, application, end use industry, and region.

Commerce Artificial Intelligence Market by Platform [Shipment Analysis by Value from 2018 to 2030]:

  • E-Commerce
  • In Store

Commerce Artificial Intelligence Market by Technology [Shipment Analysis by Value from 2018 to 2030]:

  • Deep Learning
  • Machine Learning
  • NLP
  • Others

Commerce Artificial Intelligence Market by Application [Shipment Analysis by Value from 2018 to 2030]:

  • Customer Relationship Management
  • Supply Chain Analysis
  • Fake Review Analysis
  • Merchandising
  • Warehouse Automation
  • Product Recommendation
  • Customer Service
  • Fleet Management
  • Others

Commerce Artificial Intelligence Market by End Use Industry [Shipment Analysis by Value from 2018 to 2030]:

  • Retail
  • Electronics
  • Logistics
  • Food and Beverages
  • Others

Commerce Artificial Intelligence Market by Region [Shipment Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Commerce Artificial Intelligence Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies commerce artificial intelligence companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the commerce artificial intelligence companies profiled in this report include-

  • Microsoft
  • SAP
  • Amazon
  • Alphabet
  • IBM

Commerce Artificial Intelligence Market Insights

Lucintel forecasts that e-commerce is expected to witness higher growth over the forecast period due to widespread use of commerce AI in this platform to create useful business insights.

Warehouse automation is expected to witness highest growth over the forecast perioddue to growing use of robots in this setting to automate and speed up work.

North America is expected to witness highest growth over the forecast period due to substantial government and private sector investment in the advancement of AI technology and presence of key players in the region.

Features of the Global Commerce Artificial Intelligence Market

Market Size Estimates: Commerce artificial intelligence market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Commerce artificial intelligence market by various segments, such as by platform, technology, application, end use industry and region in terms of($B).

Regional Analysis: Commerce artificial intelligence market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different platforms, technologies, applications, end use industries, and region.s for the commerce artificial intelligence market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the commerce artificial intelligence market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q.1. What is the commerce artificial intelligence market size?

Answer: The global commerce artificial intelligence market is expected to reach an estimated $6.4 billion by 2030.

Q.2. What is the growth forecast for commerce artificial intelligence market?

Answer: The global commerce artificial intelligence market is expected to grow with a CAGR of 13.2% from 2024 to 2030.

Q.3. What are the major drivers influencing the growth of the commerce artificial intelligence market?

Answer: The major drivers for this market are growing preference for smart commercialism in industries and rising deployment of this technology in the expanding e-commerce industry.

Q.4. What are the major segments for commerce artificial intelligence market?

Answer: The future of the commerce artificial intelligence market looks promising with opportunities in the customer relationship management, supply chain analysis, fake review analysis, merchandising, warehouse automation, product recommendation, customer service, and fleet management markets.

Q.5. Who are the key commerce artificial intelligence market companies?

Answer: Some of the key commerce artificial intelligence companies are as follows:

  • Microsoft
  • SAP
  • Amazon
  • Alphabet
  • IBM

Q.6. Which commerce artificial intelligence market segment will be the largest in future?

Answer: Lucintel forecasts that e-commerce is expected to witness higher growth over the forecast period due to widespread use of commerce AI in this platform to create useful business insights.

Q.7. In commerce artificial intelligence market, which region is expected to be the largest in next 5 years?

Answer: North America is expected to witness highest growth over the forecast period due to substantial government and private sector investment in the advancement of AI technology and presence of key players in the region.

Q.8. Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the commerce artificial intelligence market by platform (e-commerce and in store), technology (deep learning, machine learning, NLP, and others), application (customer relationship management, supply chain analysis, fake review analysis, merchandising, warehouse automation, product recommendation, customer service, fleet management, and others), end use industry (retail, electronics, logistics, food and beverages, and others), and region. (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Commerce Artificial Intelligence Market: Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Global Commerce Artificial Intelligence Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global Commerce Artificial Intelligence Market by Platform
    • 3.3.1: E-Commerce
    • 3.3.2: In Store
  • 3.4: Global Commerce Artificial Intelligence Market by Technology
    • 3.4.1: Deep Learning
    • 3.4.2: Machine Learning
    • 3.4.3: NLP
    • 3.4.4: Others
  • 3.5: Global Commerce Artificial Intelligence Market by Application
    • 3.5.1: Customer Relationship Management
    • 3.5.2: Supply Chain Analysis
    • 3.5.3: Fake Review Analysis
    • 3.5.4: Merchandising
    • 3.5.5: Warehouse Automation
    • 3.5.6: Product Recommendation
    • 3.5.7: Customer Service
    • 3.5.8: Fleet Management
    • 3.5.9: Others
  • 3.6: Global Commerce Artificial Intelligence Market by End Use Industry
    • 3.6.1: Retail
    • 3.6.2: Electronics
    • 3.6.3: Logistics
    • 3.6.4: Food and Beverages
    • 3.6.5: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Global Commerce Artificial Intelligence Market by Region
  • 4.2: North American Commerce Artificial Intelligence Market
    • 4.2.2: North American Commerce Artificial Intelligence Market by Application: Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Merchandising, Warehouse Automation, Product Recommendation, Customer Service, Fleet Management, and Others
  • 4.3: European Commerce Artificial Intelligence Market
    • 4.3.1: European Commerce Artificial Intelligence Market by Platform: E-Commerce and In Store
    • 4.3.2: European Commerce Artificial Intelligence Market by Application: Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Merchandising, Warehouse Automation, Product Recommendation, Customer Service, Fleet Management, and Others
  • 4.4: APAC Commerce Artificial Intelligence Market
    • 4.4.1: APAC Commerce Artificial Intelligence Market by Platform: E-Commerce and In Store
    • 4.4.2: APAC Commerce Artificial Intelligence Market by Application: Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Merchandising, Warehouse Automation, Product Recommendation, Customer Service, Fleet Management, and Others
  • 4.5: ROW Commerce Artificial Intelligence Market
    • 4.5.1: ROW Commerce Artificial Intelligence Market by Platform: E-Commerce and In Store
    • 4.5.2: ROW Commerce Artificial Intelligence Market by Application: Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Merchandising, Warehouse Automation, Product Recommendation, Customer Service, Fleet Management, and Others

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global Commerce Artificial Intelligence Market by Platform
    • 6.1.2: Growth Opportunities for the Global Commerce Artificial Intelligence Market by Technology
    • 6.1.3: Growth Opportunities for the Global Commerce Artificial Intelligence Market by Application
    • 6.1.4: Growth Opportunities for the Global Commerce Artificial Intelligence Market by End Use Industry
    • 6.1.5: Growth Opportunities for the Global Commerce Artificial Intelligence Market by Region
  • 6.2: Emerging Trends in the Global Commerce Artificial Intelligence Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Commerce Artificial Intelligence Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Commerce Artificial Intelligence Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Microsoft
  • 7.2: SAP
  • 7.3: Amazon
  • 7.4: Alphabet
  • 7.5: IBM