零售 AI 市场：分析与预测 (2022-2028)

在预测期内，全球零售 AI 市场规模预计将呈现 32% 左右的显着增长率。

在零售业广泛采用 AI 的背景下，互联网用户和智能设备不断增加，对 AI、大数据和分析的认识不断提高，政府对数字化的举措也在增加。 此外，多渠道或全渠道零售策略的采用、提高销售效率的未开发机会、企业对简化业务流程的需求、对改善最终用户体验和利用市场动态的需求增加等都有助于增长零售人工智能市场。 此外，增加人工智能投资也有望对市场增长产生重大影响。

本报告调查全球零售 AI 市场，定义和概述市场，分析影响市场增长的各种因素、市场规模的变化和预测，并按各个细分市场/地区/主要国家细分、供需趋势、竞争性环境，主要公司概况等。

内容

第一章介绍

第二章调查方法及前提条件

第 3 章市场概述

第 4 章执行摘要

第 5 章 COVID-19：对零售 AI 市场的影响

第 6 章零售商的 AI 市场：收益趋势和预测

第 7 章市场洞察：按类型

• 在线
• 离线

第 7 章市场洞察：按技术

• 机器学习/深度学习
• 自然语言处理

第 8 章市场洞察：按部署

• 本地
• 云

第 9 章市场洞察：按应用

• 基于位置的营销
• 市场预测
• 店内视觉监控
• 广告
• 其他

第 10 章市场洞察：按地区

• 北美
• 欧洲
• 亚太地区
• 其他地区

第 11 章零售人工智能市场：市场动态

• 市场驱动力
• 市场问题
• 影响分析

第 12 章零售业 AI 市场：市场机遇

第 13 章零售 AI 市场：市场趋势

第14章需求侧与供给侧分析

• 需求方分析
• 供应方分析

第 15 章价值链分析

第 16 章衝突场景

第十七章公司简介

• Amazon.com Inc
• Google LLC
• IBM Corporation
• Intel Corporation
• Microsoft Corporation
• Nvidia Corporation
• Oracle Corporation
• SAP SE
• Salesforce.com Inc
• BloomReach Inc.

第18章 免责事项

Global AI in retail market is expected to grow at a significant rate of around 32% during the forecast period. AI in Stores is using AI and advanced algorithms to understand what a customer might be interested in based on things like demographic data, social media behavior, and purchase patterns. Using this data, they can further improve the shopping experience and personalized service, both online and in stores.

The growing adoption of AI in retail is attributed to growing internet users and smart devices, increasing awareness about AI and big data & analytics, and government initiatives towards digitization. Furthermore, the adoption of the multichannel or omnichannel retailing strategy, untapped opportunities to increase sales efficiency, enterprises' demands for streamlining the business process, and the growing need to enhance end-user experience and take advantage of market dynamics are also contributing to the growth of the global artificial intelligence in the retail market. Moreover, the growing AI investments is also expected to significantly influence AI in Retail Market growth. For instance, in 2021, the global corporate AI investment reached 93.5 billion USD.

Amazon.com Inc, Google LLC, IBM Corporation, Intel Corporation, Microsoft Corporation, Nvidia Corporation, Oracle Corporation, SAP SE, Salesforce.com Inc, and BloomReach Inc, are some of the key players in the market. Several M&As along with partnerships have been undertaken by these players to facilitate customers with hi-tech and innovative products/technologies.

Insights Presented in the Report:

"Amongst type, online category to witness robust CAGR during the forecast period"

Based on type the market is segmented into online and offline. The online segment is expected to grow with a robust CAGR during the forecast period. This is mainly because of the growing prominence of e-commerce around the globe. Online retailing includes FMCG, CPG, appeals, electronics goods, and others. Online retailing(E-commerce) offers various benefits to consumers such as convenience, due to e-commerce they don't have to physically reach the retail stores, they can make purchases whenever they feel like it.

"Amongst technology, machine learning, and deep learning to hold a significant share in the market in 2020"

On the basis of technology, the market is segmented into machine learning & deep learning, and natural language processing (NLP). The machine learning and deep learning segment are expected to grow significantly during the forecast period. This is mainly due to the growing adoption of chatbots in online retail stores around the world. Chatbots offer various benefits such as cost savings, and contextual, AI-driven support, chatbots also help organizations to analyze consumer data in a more refined manner.

"North America to hold a significant share in the market"

In 2020, the North American region is expected to grow with a significant CAGR during the forecast period. This is mainly due to the presence of major players in the region such as Google Inc, Microsoft Corporation IBM Corporation, Salesforce, and Amazon Web Services. Moreover, the United States and Canada are the countries in the region that are the early adopters of AI technology. Also, the growing number of AI startups in the USA and Canada is expected to significantly influence the market. Furthermore, the growing investments in the research and development of AI technology in the region is expected to drive the market.

Reasons to buy this report:

The study includes market sizing and forecasting analysis validated by authenticated key industry experts.

The report presents a quick review of overall industry performance at one glance.

The report covers an in-depth analysis of prominent industry peers with a primary focus on key business financials, product portfolio, expansion strategies, and recent developments.

Detailed examination of drivers, restraints, key trends, and opportunities prevailing in the industry.

The study comprehensively covers the market across different segments.

Deep dive regional level analysis of the industry.

Customization Options:

The global AI in retail market can further be customized as per the requirement or any other market segment. Besides this, UMI understands that you may have your own business needs, hence feel free to connect with us to get a report that completely suits your requirements.

TABLE OF CONTENTS

1 MARKET INTRODUCTION

• 1.1. Market Definitions
• 1.2. Main Objective
• 1.3. Stakeholders
• 1.4. Limitation

2 RESEARCH METHODOLOGY OR ASSUMPTION

• 2.1. Research Process of the AI in Retail Market
• 2.2. Research Methodology of the AI in Retail Market
• 2.3. Respondent Profile

3 MARKET SYNOPSIS

4 EXECUTIVE SUMMARY

5 IMPACT OF COVID-19 ON THE AI in RETAIL MARKET

6 MARKET INSIGHTS BY TYPE

• 6.1. Online
• 6.2. Offline

7 MARKET INSIGHTS BY TECHNOLOGY

• 7.1. Machine Learning and Deep Learning
• 7.2. Natural Language Processing

8 MARKET INSIGHTS BY DEPLOYMENT

• 8.1. On-Premises
• 8.2. Cloud

9 MARKET INSIGHTS BY APPLICATION

• 9.1. Location Based Marketing
• 9.2. Market Forecasting
• 9.3. In-Store visual monitoring
• 9.4. Advertising
• 9.5. Others

10 MARKET INSIGHTS BY REGION

• 10.1. North America
  • 10.1.1. U.S.
  • 10.1.2. Canada
  • 10.1.3. Rest of North America
• 10.2. Europe
  • 10.2.1. Germany
  • 10.2.2. U.K.
  • 10.2.3. France
  • 10.2.4. Italy
  • 10.2.5. Spain
  • 10.2.6. Rest of Europe
• 10.3. Asia-Pacific
  • 10.3.1. China
  • 10.3.2. Japan
  • 10.3.3. India
  • 10.3.4. Rest of Asia-Pacific
• 10.4. Rest of World

11 AI in RETAIL MARKET DYNAMICS

• 11.1. Market Drivers
• 11.2. Market Challenges
• 11.3. Impact Analysis

12 AI in RETAIL MARKET OPPORTUNITIES

13 AI in RETAIL MARKET TRENDS

14 DEMAND AND SUPPLY-SIDE ANALYSIS

• 14.1. Demand Side Analysis
• 14.2. Supply Side Analysis

15 VALUE CHAIN ANALYSIS

16 COMPETITIVE SCENARIO

• 16.1. Competitive Landscape
  • 16.1.1. Porters Five Forces Analysis

17 COMPANY PROFILED

• 17.1. Amazon.com Inc
• 17.2. Google LLC
• 17.3. IBM Corporation
• 17.4. Intel Corporation
• 17.5. Microsoft Corporation
• 17.6. Nvidia Corporation
• 17.7. Oracle Corporation
• 17.8. SAP SE
• 17.9. Salesforce.com Inc
• 17.10. BloomReach Inc.

18 DISCLAIMER