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市場調査レポート
商品コード
989886
小売業向け人工知能（AI）市場規模調査：タイプ別、テクノロジー別、サービス別、ソリューション別、展開モード別、用途別(～2026年)、COVID-19の累積的影響Artificial Intelligence in Retail Market Research Report by Type, by Technology, by Service, by Solution, by Deployment Mode, by Application, by Region - Global Forecast to 2026 - Cumulative Impact of COVID-19 |
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| 小売業向け人工知能（AI）市場規模調査：タイプ別、テクノロジー別、サービス別、ソリューション別、展開モード別、用途別(～2026年)、COVID-19の累積的影響 |
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出版日: 2021年06月01日
発行: 360iResearch LLP
ページ情報: 英文 195 Pages
納期: 即日から翌営業日
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世界の小売業向け人工知能（AI）の市場規模は、2020年の25億3502万米ドルから、2025年末までに52億9188万米ドルに成長すると予想されています。
市場セグメンテーションとカバレッジ：
当調査は、小売業向け人工知能（AI）の世界市場を分類して、収益を予測し、次の各サブマーケットの動向を分析します。
タイプ別だと、小売業向け人工知能（AI）はオフライン小売とオンライン小売で調査されました。
テクノロジー別だと、小売業向け人工知能（AI）は、機械学習、ディープラーニング、自然言語処理にわたって調査されました。機械学習とディープラーニングは、感情検出と顔認識全体でさらに調査されました。
サービス別だと、小売業向け人工知能（AI）は、マネージドサービスとプロフェッショナルサービスにわたって調査されました。
ソリューション別だと、小売業向け人工知能（AI）は、顧客関係管理、支払いサービス管理、価格最適化、製品の推奨と計画、サプライチェーン管理と需要計画、バーチャルアシスタント、およびビジュアル検索にわたって調査されました。
展開モード別だと、小売業向け人工知能（AI）はオンクラウドとオンプレミスで調査されました。
アプリケーション別だと、小売業向け人工知能（AI）は、店内の視覚的監視と監視、ロケーションベースのマーケティング、市場予測、予測マーチャンダイジング、およびプログラマティック広告にわたって調査されました。
地域別だと、小売業向け人工知能（AI）は、南北アメリカ、アジア太平洋、欧州、中東・アフリカで調査されました。
COVID-19の累積的影響：
COVID-19は、ほぼすべての業界に影響を与えた比類のない世界的な公衆衛生上の緊急事態であるため、予測期間中に業界の成長に長期的な影響を与えると予測されます。私たちの進行中の調査は、調査フレームワークを増幅して、基礎となるCOVID-19の問題と今後の潜在的な道筋を確実に含めるようにしています。調査は消費者の行動と需要の変化、購入パターン、サプライチェーンの再ルーティング、現在の市場の力のダイナミクス、および政府の重要な介入を考慮したCOVID-19に関する洞察を提供しています。更新された調査は、市場へのCOVID-19の影響を考慮して、洞察、分析、推定、および予測を提供します。
レポートは、次の指針に関する洞察を提供します。
レポートは次のような質問に答えます。
当レポートでは、小売業向け人工知能（AI）市場を調査し、市場概要、市場の成長要因および阻害要因の分析、タイプ別・地域別の市場規模の推移と予測、競合情勢、主要企業のプロファイル、市場機会など、包括的な情報を提供しています。
The Global Artificial Intelligence in Retail Market size was estimated at USD 2,535.02 Million in 2020 and expected to reach USD 2,949.69 Million in 2021, at a Compound Annual Growth Rate (CAGR) 16.69% to reach USD 6,402.13 Million by 2026.
Market Statistics:
The report provides market sizing and forecast across five major currencies - USD, EUR GBP, JPY, and AUD. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2019 are considered historical years, 2020 as the base year, 2021 as the estimated year, and years from 2022 to 2026 are considered the forecast period.
Market Segmentation & Coverage:
This research report categorizes the Artificial Intelligence in Retail to forecast the revenues and analyze the trends in each of the following sub-markets:
Based on Type, the Artificial Intelligence in Retail Market was studied across Offline Retail and Online Retail.
Based on Technology, the Artificial Intelligence in Retail Market was studied across Machine Learning and Deep Learning and Natural Language Processing. The Machine Learning and Deep Learning is further studied across Emotion Detection and Facial Recognition.
Based on Service, the Artificial Intelligence in Retail Market was studied across Managed Services and Professional Services.
Based on Solution, the Artificial Intelligence in Retail Market was studied across Customer Relationship Management, Payment Services Management, Price Optimization, Product Recommendation and Planning, Supply Chain Management and Demand Planning, Virtual Assistant, and Visual Search.
Based on Deployment Mode, the Artificial Intelligence in Retail Market was studied across On-Cloud and On-Premises.
Based on Application, the Artificial Intelligence in Retail Market was studied across In-Store Visual Monitoring and Surveillance, Location-Based Marketing, Market Forecasting, Predictive Merchandising, and Programmatic Advertising.
Based on Geography, the Artificial Intelligence in Retail Market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific is further studied across China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa is further studied across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.
Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.
Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.
FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence in Retail Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.
Market Share Analysis:
The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.
Company Usability Profiles:
The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence in Retail Market, including Amazon Web Services, Google, Intel, Microsoft, Nvidia, Oracle, Salesforce, SAP, Sentient Technologies, and ViSenze.
The report provides insights on the following pointers:
The report answers questions such as:
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