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市場調査レポート
商品コード
1186617

小売業向けAI市場:現状分析・予測 (2022年~2028年)

AI In Retail Market: Current Analysis and Forecast (2022-2028)

出版日: | 発行: UnivDatos Market Insights Pvt Ltd | ページ情報: 英文 157 Pages | 納期: 即日から翌営業日

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小売業向けAI市場:現状分析・予測 (2022年~2028年)
出版日: 2022年12月01日
発行: UnivDatos Market Insights Pvt Ltd
ページ情報: 英文 157 Pages
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要

世界の小売業向けAIの市場規模は予測期間中に約32%という著しい成長率を示すと予想されています。

小売業におけるAIの採用が拡大している背景には、インターネットユーザーやスマートデバイスの増加、AIやビッグデータ&アナリティクスに関する認知度の向上、デジタル化に向けた政府の取り組みなどが挙げられます。さらに、マルチチャネルまたはオムニチャネルの小売戦略の採用、販売効率向上のための未開拓の機会、ビジネスプロセスの合理化に対する企業のニーズ、エンドユーザーエクスペリエンスの向上と市場力学を活用するニーズの高まりなども世界の小売業向けAI市場の成長に寄与しています。さらに、AI投資の拡大も同市場の成長に大きく影響すると予想されています。

当レポートでは、世界の小売業向けAIの市場を調査し、市場の定義と概要、市場成長への各種影響因子の分析、市場規模の推移・予測、各種区分・地域/主要国別の内訳、需給動向、競合環境、主要企業のプロファイルなどをまとめています。

目次

第1章 イントロダクション

第2章 調査手法・前提因子

第3章 市場概要

第4章 エグゼクティブサマリー

第5章 COVID-19:小売業向けAI市場への影響

第6章 小売業向けAI市場:収益の推移・予測

第7章 市場洞察:タイプ別

  • オンライン
  • オフライン

第7章 市場洞察:技術別

  • 機械学習・深層学習
  • 自然言語処理

第8章 市場洞察:展開別

  • オンプレミス
  • クラウド

第9章 市場洞察:用途別

  • ロケーションベースマーケティング
  • 市場予測
  • 店舗内ビジュアルモニタリング
  • 広告
  • その他

第10章 市場洞察:地域別

  • 北米
  • 欧州
  • アジア太平洋
  • その他の地域

第11章 小売業向けAI市場:市場力学

  • 市場促進要因
  • 市場課題
  • 影響分析

第12章 小売業向けAI市場:市場機会

第13章 小売業向けAI市場:市場動向

第14章 需要サイド・供給サイドの分析

  • 需要サイド分析
  • 供給サイド分析

第15章 バリューチェーン分析

第16章 競合シナリオ

第17章 企業プロファイル

  • 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 免責事項

目次
Product Code: UMME211429

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