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表紙：小売における人工知能の世界市場：動向、機会、競合分析【2023-2028年】
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小売における人工知能の世界市場：動向、機会、競合分析【2023-2028年】

Artificial Intelligence in the Global Retail Market: Trends, Opportunities and Competitive Analysis [2023-2028]
出版日: | 発行: Lucintel | ページ情報: 英文 150 Pages | 納期: 3営業日

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小売における人工知能の世界市場：動向、機会、競合分析【2023-2028年】
出版日: 2023年05月01日
発行: Lucintel
ページ情報: 英文 150 Pages
納期: 3営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
  • 全表示
  • 概要
  • 目次
概要

小売における人工知能の市場動向と予測

世界の小売における人工知能市場は、2023年から2028年までのCAGRが22.7%で、2028年までに推定32億米ドルに達すると予想されます。この市場の主な促進要因は、顧客との関係を維持するための小売業者の努力の高まりとともに、潜在的なビジネスチャンスの恩恵を受けるために小売業界でAIの利用が増加していること、および実店舗での監視・モニタリングの要件が増加していることです。世界の小売における人工知能市場の将来性は、予測的マーチャンダイジング、プログラマティック広告、市場予測、店舗内の視覚モニタリングと監視、ロケーションベースマーケティングの各アプリケーションにおける機会で有望視されています。

小売における人工知能市場

小売における人工知能市場関連企業一覧

市場の企業は、提供する製品の品質に基づいて競争しています。この市場の主要企業は、製造施設の拡大、研究開発投資、インフラ整備、バリューチェーン全体における統合機会の活用に注力しています。これらの戦略により、世界の小売における人工知能市場企業は、需要の増加への対応、競争力の確保、革新的な製品・技術の開発、生産コストの削減、顧客基盤の拡大を実現しています。

小売における人工知能市場の市場洞察

Lucintelは、小売業界における経営課題への対応として自動化技術の利用が増加していることから、予測期間中、ソリューションがより大きなコンポーネントセグメントであり続けるだろうと予測しています。

予測マーチャンダイジングは、顧客の購買行動や動機付けの要因を評価するためにこの技術の利用が増加しているため、最大のアプリケーションセグメントであり続けると予想されます。

北米は、顧客の嗜好を知ることに対する地元の小売業者の関心の高まりと、同地域の新興企業や中小企業によるAIベースの技術への採用や投資の増加により、最大の地域であり続けるでしょう。

本レポートでは、以下の11の主要な質問に回答しています。

  • Q.1.市場セグメントのうち、最も有望かつ高成長な機会は何か？
  • Q.2.どのセグメントがより速いペースで成長するのか、またその理由は？
  • Q.3.どの地域がより速いペースで成長すると思うか、またその理由は？
  • Q.4.市場力学に影響を与える主要因は何か？この市場における主な課題とビジネスリスクは何か？
  • Q.5.この市場におけるビジネスリスクと競合の脅威は何か？
  • Q.6.この市場における新たな動向とその理由は何か？
  • Q.7.この市場における顧客の要求の変化にはどのようなものがあるのか？
  • Q.8.市場における新たな開拓は何か？これらの開発をリードしているのはどの企業か？
  • Q.9.この市場における主要なプレーヤーは誰か？主要プレーヤーは事業成長のためにどのような戦略的取り組みを進めているのか？
  • Q.10.この市場における競合製品にはどのようなものがあり、材料や製品の代替別市場シェア喪失の脅威はどの程度あるのか？
  • Q.11.過去5年間にどのようなM&Aが行われ、それが業界に与えた影響は何か？

目次

第1章 エグゼクティブサマリー

第2章 世界の小売における人工知能市場：市場力学

  • イントロダクション、背景、分類
  • サプライチェーン
  • 業界を牽引する要因と課題

第3章 2017年から2028年までの市場動向と予測分析

  • マクロ経済動向（2017年～2022年）および予測（2023年～2028年）
  • 世界の小売における人工知能市場の動向（2017年～2022年）と予測（2023年～2028年）
  • 世界の小売における人工知能の市場：コンポーネント別
    • ソリューション
    • サービス
  • 小売業の世界市場における人工知能：技術別
    • 画像・映像解析
    • 機械学習
    • 自然言語処理
    • スウォームインテリジェンス
    • チャットボット
  • 世界の小売における人工知能市場の活用：販売チャネル別
    • 実店舗
    • オムニチャネル
    • オンライン専門小売
  • 小売業の世界市場における人工知能の活用：アプリケーション別
    • 予測型マーチャンダイジング
    • プログラマティック広告
    • 市場予測
    • 店舗内ビジュアルモニタリングとサーベイランス
    • ロケーションベース・マーケティング
    • その他

第4章 2017年から2028年までの地域別市場動向と予測分析

  • 世界の小売における人工知能市場の地域別推移
  • 北米の小売における人工知能市場
  • 欧州の小売における人工知能市場
  • アジア太平洋の小売における人工知能市場
  • その他地域の小売における人工知能市場

第5章 競合分析

  • 製品ポートフォリオ分析
  • オペレーショナル・インテグレーション
  • ポーターのファイブフォース分析

第6章 成長機会と戦略的分析

  • 成長機会分析
    • 世界の小売における人工知能市場の成長機会：コンポーネント別
    • 世界の小売における人工知能市場の成長機会：技術別
    • 世界の小売における人工知能市場の成長機会：販売チャネル別
    • 世界の小売における人工知能市場の成長機会：アプリケーション別
    • 世界の小売における人工知能市場の成長機会：地域別
  • 世界の小売における人工知能市場の新たな動向
  • 戦略的分析
    • 新製品開発
    • 世界の小売における人工知能市場活用のための能力拡張
    • 世界の小売における人工知能市場のM&Aおよびジョイントベンチャー
    • 認証とライセンシング

第7章 主要企業プロファイル

  • IBM
  • Microsoft
  • SAP SE
  • Amazon Web Services
  • Oracle
目次

Artificial Intelligence in Retail Market Trends and Forecast

The future of artificial intelligence in the global retail market looks promising with opportunities in the predictive merchandising, programmatic advertising, market forecasting, in-store visual monitoring and surveillance, and location-based marketing applications. The global retail market in terms of artificial intelligence usage is expected to reach an estimated $3.2 billion by 2028 with a CAGR of 22.7% from 2023 to 2028. The major drivers for this market are the increasing use of AI in the retail industry to take the benefits of potential business opportunities along with growing retailer's efforts to keep customers engaged and increasing requirement for monitoring and surveillance at physical stores.

Artificial Intelligence in Retail Market

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

Artificial Intelligence in Retail Market by Segment

The study includes trends and forecast for artificial intelligence in the global retail market by component, technology, sales channel, application, and region, as follows:

Artificial Intelligence in Retail Market by Component [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Solution
  • Service

Artificial Intelligence in Retail Market by Technology [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Image and Video Analytics
  • Machine Learning
  • Natural Language Processing
  • Swarm Intelligence
  • Chatbots

Artificial Intelligence in Retail Market by Sales Channel [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Brick and Motor
  • Omnichannel
  • Pure-play Online Retailers

Artificial Intelligence in Retail Market by Application [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Predictive Merchandising
  • Programmatic Advertising
  • Market Forecasting
  • In-Store Visual Monitoring and Surveillance
  • Location-Based Marketing
  • Others

Artificial Intelligence in Retail Market by Region [Value ($B) Shipment Analysis from 2017 to 2028]:

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

List of Artificial Intelligence Companies in Retail Market

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, artificial intelligence companies in the global retail market cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the artificial intelligence companies in the retail market profiled in this report include:

  • IBM
  • Microsoft
  • SAP SE
  • Amazon Web Services
  • Oracle

Artificial Intelligence in Retail Market Insights

Lucintel forecasts that solution will remain the larger component segment over the forecast period due to the increasing use of automated technology in response to management issues in the retail industry.

Predictive merchandising is expected to remain the largest application segment due to increasing use of this technology to evaluate customer buying behavior and motivation factor.

North America will remain the largest region due to the growing concern among local retailers about learning about customer preferences and growing adoption and investment in AI-based technologies by start-ups and SMEs in the region.

Features of the Artificial Intelligence in Retail Market

  • Market Size Estimates: Artificial intelligence in retail market size estimation in terms of value ($B)
  • Trend And Forecast Analysis: Market trends (2017-2022) and forecast (2023-2028) by various segments and regions.
  • Segmentation Analysis: Artificial intelligence in retail market size by various segments, such as by component, technology, sales channel, application, and region
  • Regional Analysis: Artificial intelligence in retail market breakdown by North America, Europe, Asia Pacific, and the Rest of the World.
  • Growth Opportunities: Analysis on growth opportunities in different components, technology, sales channels, applications, and regions for the artificial intelligence in retail market.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape for artificial intelligence in retail market.
  • Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q1. What is the retail market size in terms of artificial intelligence usage?

Answer: The global retail market in terms of artificial intelligence usage is expected to reach an estimated $3.2 billion by 2028.

Q2. What is the growth forecast for artificial intelligence in retail market?

Answer: The global artificial intelligence in retail market is expected to grow with a CAGR of 22.7% from 2023 to 2028.

Q3. What are the major drivers influencing the growth of artificial intelligence in the retail market?

Answer: The major drivers for this market are the increasing use of AI in the retail industry to take the benefits of potential business opportunities along with growing retailer's efforts to keep customers engaged and increasing requirement for monitoring and surveillance at physical stores.

Q4. What are the major segments for artificial intelligence in retail market?

Answer: The future of artificial intelligence in the retail market looks promising with opportunities in the predictive merchandising, programmatic advertising, market forecasting, in-store visual monitoring and surveillance, and location-based marketing applications.

Q4. Who are the key artificial intelligence companies in retail market?

Answer: Some of the key artificial intelligence companies in the retail market are as follows:

  • IBM
  • Microsoft
  • SAP SE
  • Amazon Web Services
  • Oracle

Q6. Which retail segment in terms of artificial intelligence usage will be the largest in the future?

Answer:Lucintel forecasts that solution will remain the larger component segment over the forecast period due to the increasing use of automated technology in response to management issues in the retail industry.

Q7. In artificial intelligence in retail market, which region is expected to be the largest in next 5 years?

Answer: North America will remain the largest region due to the growing concern among local retailers about learning about customer preferences and growing adoption and investment in AI-based technologies by start-ups and SMEs in the region.

Q8. 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 artificial intelligence in retail market by component (solution and service), technology (image and video analytics, machine learning, natural language processing, swarm intelligence, and chatbots), sales channel (brick and motor, omnichannel, and pure-play online retailers), application (predictive merchandising, programmatic advertising, market forecasting, in-store visual monitoring and surveillance, location-based marketing, 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.1 1. 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. Artificial Intelligence in the Global Retail 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 2017 to 2028

  • 3.1: Macroeconomic Trends (2017-2022) and Forecast (2023-2028)
  • 3.2: Artificial Intelligence in the Global Retail Market Trends (2017-2022) and Forecast (2023-2028)
  • 3.3: Artificial Intelligence in the Global Retail Market by Component
    • 3.3.1: Solution
    • 3.3.2: Service
  • 3.4: Artificial Intelligence in the Global Retail Market by Technology
    • 3.4.1: Image and Video Analytics
    • 3.4.2: Machine Learning
    • 3.4.3: Natural Language Processing
    • 3.4.4: Swarm Intelligence
    • 3.4.5: Chatbots
  • 3.5: Artificial Intelligence in the Global Retail Market by Sales Channel
    • 3.5.1: Bricks and Motors
    • 3.5.2: Omnichannels
    • 3.5.3: Pure-Play Online Retailers
  • 3.6: Artificial Intelligence in the Global Retail Market by Application
    • 3.6.1: Predictive Merchandising
    • 3.6.2: Programmatic Advertising
    • 3.6.3: Market Forecasting
    • 3.6.4: In-Store Visual Monitoring and Surveillance
    • 3.6.5: Location-Based Marketing
    • 3.6.6: Others

4. Market Trends and Forecast Analysis by Region from 2017 to 2028

  • 4.1: Artificial Intelligence in the Global Retail Market by Region
  • 4.2: Artificial Intelligence in the North American Retail Market
    • 4.2.1: Artificial Intelligence in the North American Retail Market by Component: Solution and Service
    • 4.2.2: Artificial Intelligence in the North American Retail Market by Application: Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, and Others
  • 4.3: Artificial Intelligence in the European Retail Market
    • 4.3.1: Artificial Intelligence in the European Retail Market by Component: Solution and Service
    • 4.3.2: Artificial Intelligence in the European Retail Market by Application: Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, and Others
  • 4.4: Artificial Intelligence in the APAC Retail Market
    • 4.4.1: Artificial Intelligence in the APAC Retail Market by Component: Solution and Service
    • 4.4.2: Artificial Intelligence in the APAC Retail Market by Application: Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, and Others
  • 4.5: Artificial Intelligence in the ROW Retail Market
    • 4.5.1: Artificial Intelligence in the ROW Retail Market by Component: Solution and Service
    • 4.5.2: Artificial Intelligence in the ROW Retail Market by Application: Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, 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 Artificial Intelligence in the Global Retail Market by Component
    • 6.1.2: Growth Opportunities for Artificial Intelligence in the Global Retail Market by Technology
    • 6.1.3: Growth Opportunities for Artificial Intelligence in the Global Retail Market by Sales Channel
    • 6.1.4: Growth Opportunities for Artificial Intelligence in the Global Retail Market by Application
    • 6.1.5: Growth Opportunities for Artificial Intelligence in the Global Retail Market by Region
  • 6.2: Emerging Trends in Artificial Intelligence in the Global Retail Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Retail Market in terms of Artificial Intelligence Usage
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in Artificial Intelligence in the Global Retail Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: IBM
  • 7.2: Microsoft
  • 7.3: SAP SE
  • 7.4: Amazon Web Services

7:5: Oracle