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零售業電子商務智能零售

市場調查報告書

商品編碼

1721291

全球智慧零售市場研究報告-產業分析、規模、佔有率、成長、趨勢及2025年至2033年預測

Global Smart Retail Market Research Report- Industry Analysis, Size, Share, Growth, Trends and Forecast 2025 to 2033

出版日期: 2025年04月01日 | 出版商:

Value Market Research | 英文 131 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄圖表

全球智慧零售市場規模預計將從 2024 年的 556.8 億美元成長到 2033 年的 5,632.9 億美元，在 2026 年至 2033 年的預測期內，年複合成長率(CAGR) 將達到 29.32%。

隨著零售商擴大採用先進技術來增強客戶體驗和最佳化營運，智慧零售市場將經歷指數級成長。智慧零售解決方案涵蓋廣泛的技術，包括物聯網設備、人工智慧和資料分析，使零售商能夠創造個人化的購物體驗並簡化庫存管理。隨著消費者期望的不斷變化以及對無縫全通路體驗的需求不斷成長，智慧零售技術的採用預計將激增。智慧鏡子和行動支付解決方案等客戶參與工具的創新進一步增強了智慧零售的吸引力，使其成為企業保持競爭力的策略要務。

此外，對數據驅動決策的日益重視正在推動對智慧零售解決方案的需求，這些解決方案可以為消費者的行為和偏好提供可行的見解。透過利用資料分析，零售商可以最佳化定價策略、庫存水準和行銷活動，最終提高獲利能力和客戶滿意度。預計這一趨勢將促進市場創新，推動先進智慧零售技術的發展，增強即時分析和客戶參與的能力。

此外，電子商務的興起以及線上和線下購物體驗的日益融合預計將進一步推動智慧零售市場的發展。隨著零售商尋求創造融合數位和實體互動的有凝聚力的購物旅程，對促進這種融合的技術的需求將會成長。點擊提貨服務、擴增實境購物體驗和個人化行銷等解決方案將成為智慧零售領域的重要組成部分。這種向更互聯的零售環境的轉變將推動對智慧零售技術的投資，為創新和成長創造新的機會。

我們的報告經過精心製作，為客戶提供有關各個行業和市場的全面且可行的見解。每份報告都包含幾個關鍵部分，以確保徹底了解市場格局：

市場概覽：市場的詳細介紹，包括定義、分類和行業現狀概述。

市場動態：深入分析影響市場成長的關鍵促進因素、限制因素、機會與挑戰。本節探討技術進步、監管變化和新興趨勢等因素。

細分分析：根據產品類型、應用、最終用戶和地理位置等標準將市場細分為不同的細分市場。該分析強調了每個部分的表現和潛力。

競爭格局：對主要市場參與者的全面評估，包括其市場佔有率、產品組合、策略舉措和財務表現。本節深入分析了領先公司的競爭動態和採用的關鍵策略。

市場預測：根據歷史資料和當前市場狀況，對特定時期內的市場規模和成長趨勢進行預測。這包括定量分析和圖形表示，以說明未來的市場軌跡。

區域分析：評估不同地理區域的市場表現，確定關鍵市場和區域趨勢。這有助於了解區域市場動態和機會。

新興趨勢與機會：識別當前和新興的市場趨勢、技術創新和潛在投資領域。本節提供了對未來市場發展和成長前景的見解。

區域展望
介紹
北美銷售分析
- 概述、歷史和預測數據銷售分析
- 北美各細分市場銷售分析
- 北美各國銷售分析
- 美國銷售分析
- 加拿大銷售分析
- 墨西哥銷售分析
歐洲銷售分析
- 概述、歷史和預測數據銷售分析
- 歐洲各細分市場銷售分析
- 歐洲各國銷售分析
- 英國銷售分析
- 法國銷售分析
- 德國銷售分析
- 義大利銷售分析
- 俄羅斯銷售分析
- 歐洲其他地區銷售分析
亞太地區銷售分析
- 概述、歷史和預測數據銷售分析
- 亞太地區分部銷售分析
- 亞太地區國家銷售分析
- 中國銷售分析
- 印度銷售分析
- 日本銷售分析
- 韓國銷售分析
- 澳洲銷售分析
- 東南亞銷售分析
- 亞太地區其他地區銷售分析
拉丁美洲銷售分析
- 概述、歷史和預測數據銷售分析
- 拉丁美洲各細分市場銷售分析
- 拉丁美洲各國銷售分析
- 巴西銷售分析
- 阿根廷銷售分析
- 秘魯銷售分析
- 智利銷售分析
- 拉丁美洲其他地區銷售分析
中東和非洲銷售分析
- 概述、歷史和預測數據銷售分析
- 中東和非洲分部銷售分析
- 中東和非洲國家銷售分析
- 沙烏地阿拉伯銷售分析
- 阿拉伯聯合大公國銷售分析
- 以色列銷售分析
- 南非銷售分析
- 中東和非洲其他地區銷售分析

第9章：智慧零售企業的競爭格局

智慧零售市場競爭
合作/協作/協議
併購
新產品發布
其他發展

第10章：公司簡介

頂級公司市佔率分析
市場集中度
Ingenico SA

公司概況
公司收入
產品
最新動態

NCR Corporation

公司概況
公司收入
產品
最新動態

公司概況
公司收入
產品
最新動態

Amazon

公司概況
公司收入
產品
最新動態

Microsoft Corporation

公司概況
公司收入
產品
最新動態

Google Inc.

公司概況
公司收入
產品
最新動態

Samsung Electronics

公司概況
公司收入
產品
最新動態

Intel Corporation

公司概況
公司收入
產品
最新動態

Verifone Systems

公司概況
公司收入
產品
最新動態

Softbank Robotics Holdings

公司概況
公司收入
產品
最新動態

注意 - 在公司簡介中，財務細節和最新發展取決於可用性，對於私人公司，可能不予涵蓋

簡介目錄圖表

Product Code: VMR11212310

Global Smart Retail Market size is anticipated to grow from USD 55.68 Billion in 2024 to USD 563.29 Billion by 2033, showcasing a robust Compound Annual Growth Rate (CAGR) of 29.32% during the forecast period of 2026 to 2033.

The smart retail market is set to experience exponential growth as retailers increasingly adopt advanced technologies to enhance customer experiences and optimize operations. Smart retail solutions encompass a wide range of technologies, including IoT devices, artificial intelligence, and data analytics, which enable retailers to create personalized shopping experiences and streamline inventory management. As consumer expectations evolve and the demand for seamless omnichannel experiences rises, the adoption of smart retail technologies is expected to surge. Innovations in customer engagement tools, such as smart mirrors and mobile payment solutions, are further enhancing the appeal of smart retail, making it a strategic imperative for businesses looking to stay competitive.

Moreover, the growing emphasis on data-driven decision-making is driving the demand for smart retail solutions that provide actionable insights into consumer behavior and preferences. By leveraging data analytics, retailers can optimize pricing strategies, inventory levels, and marketing campaigns, ultimately enhancing profitability and customer satisfaction. This trend is expected to foster innovation in the market, leading to the development of advanced smart retail technologies that offer enhanced capabilities for real-time analytics and customer engagement.

Additionally, the rise of e-commerce and the increasing integration of online and offline shopping experiences are anticipated to further propel the smart retail market. As retailers seek to create cohesive shopping journeys that blend digital and physical interactions, the demand for technologies that facilitate this integration will grow. Solutions such as click-and-collect services, augmented reality shopping experiences, and personalized marketing will become essential components of the smart retail landscape. This shift towards a more connected retail environment will drive investments in smart retail technologies, creating new opportunities for innovation and growth.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

SEGMENTATION COVERED IN THE REPORT

By Type

Hardware
Software

By Application

Visual Marketing
Smart Payment System
Smart Label
Intelligent System
Others

By Retail Offering

Apparel and Accessories
Hard lines and Leisure Goods
Fast-moving Consumer Goods
Others
COMPANIES PROFILED
Ingenico S.A.
NCR Corporation
IBM
Amazon
Microsoft Corporation
Google Inc.
Samsung Electronics
Intel Corporation
Verifone Systems
Softbank Robotics Holdings
The above list can be customized.

1. PREFACE

1.1. Report Description
- 1.1.1 Objective
- 1.1.2 Target Audience
- 1.1.3 Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1 Market Research Process
- 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3. SMART RETAIL INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Poerter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Type
- 3.7.2 Market Attractiveness Analysis By Application
- 3.7.3 Market Attractiveness Analysis By Retail Offering
- 3.7.4 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1 List of Raw Materials
- 4.2.2 Raw Material Manufactures List
- 4.2.3 Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1 Direct Marketing
- 4.4.2 Indirect Marketing
- 4.4.3 Marketing Channel Development Trend

5. GLOBAL SMART RETAIL MARKET ANALYSIS BY TYPE

5.1. Overview By Type
5.2. Historical and Forecast Data Analysis By Type
5.3. Hardware Historic and Forecast Sales By Regions
5.4. Software Historic and Forecast Sales By Regions

6. GLOBAL SMART RETAIL MARKET ANALYSIS BY APPLICATION

6.1. Overview By Application
6.2. Historical and Forecast Data Analysis By Application
6.3. Visual Marketing Historic and Forecast Sales By Regions
6.4. Smart Payment System Historic and Forecast Sales By Regions
6.5. Smart Label Historic and Forecast Sales By Regions
6.6. Intelligent System Historic and Forecast Sales By Regions
6.7. Others Historic and Forecast Sales By Regions

7. GLOBAL SMART RETAIL MARKET ANALYSIS BY RETAIL OFFERING

7.1. Overview By Retail Offering
7.2. Historical and Forecast Data Analysis By Retail Offering
7.3. Apparel and Accessories Historic and Forecast Sales By Regions
7.4. Hard lines and Leisure Goods Historic and Forecast Sales By Regions
7.5. Fast-moving Consumer Goods Historic and Forecast Sales By Regions
7.6. Others Historic and Forecast Sales By Regions

8. GLOBAL SMART RETAIL MARKET ANALYSIS BY GEOGRAPHY

8.1. Regional Outlook
8.2. Introduction
8.3. North America Sales Analysis
- 8.3.1 Overview, Historic and Forecast Data Sales Analysis
- 8.3.2 North America By Segment Sales Analysis
- 8.3.3 North America By Country Sales Analysis
- 8.3.4 United States Sales Analysis
- 8.3.5 Canada Sales Analysis
- 8.3.6 Mexico Sales Analysis
8.4. Europe Sales Analysis
- 8.4.1 Overview, Historic and Forecast Data Sales Analysis
- 8.4.2 Europe By Segment Sales Analysis
- 8.4.3 Europe By Country Sales Analysis
- 8.4.4 United Kingdom Sales Analysis
- 8.4.5 France Sales Analysis
- 8.4.6 Germany Sales Analysis
- 8.4.7 Italy Sales Analysis
- 8.4.8 Russia Sales Analysis
- 8.4.9 Rest Of Europe Sales Analysis
8.5. Asia Pacific Sales Analysis
- 8.5.1 Overview, Historic and Forecast Data Sales Analysis
- 8.5.2 Asia Pacific By Segment Sales Analysis
- 8.5.3 Asia Pacific By Country Sales Analysis
- 8.5.4 China Sales Analysis
- 8.5.5 India Sales Analysis
- 8.5.6 Japan Sales Analysis
- 8.5.7 South Korea Sales Analysis
- 8.5.8 Australia Sales Analysis
- 8.5.9 South East Asia Sales Analysis
- 8.5.10 Rest Of Asia Pacific Sales Analysis
8.6. Latin America Sales Analysis
- 8.6.1 Overview, Historic and Forecast Data Sales Analysis
- 8.6.2 Latin America By Segment Sales Analysis
- 8.6.3 Latin America By Country Sales Analysis
- 8.6.4 Brazil Sales Analysis
- 8.6.5 Argentina Sales Analysis
- 8.6.6 Peru Sales Analysis
- 8.6.7 Chile Sales Analysis
- 8.6.8 Rest of Latin America Sales Analysis
8.7. Middle East & Africa Sales Analysis
- 8.7.1 Overview, Historic and Forecast Data Sales Analysis
- 8.7.2 Middle East & Africa By Segment Sales Analysis
- 8.7.3 Middle East & Africa By Country Sales Analysis
- 8.7.4 Saudi Arabia Sales Analysis
- 8.7.5 UAE Sales Analysis
- 8.7.6 Israel Sales Analysis
- 8.7.7 South Africa Sales Analysis
- 8.7.8 Rest Of Middle East And Africa Sales Analysis

9. COMPETITIVE LANDSCAPE OF THE SMART RETAIL COMPANIES

9.1. Smart Retail Market Competition
9.2. Partnership/Collaboration/Agreement
9.3. Merger And Acquisitions
9.4. New Product Launch
9.5. Other Developments

10. COMPANY PROFILES OF SMART RETAIL INDUSTRY

10.1. Top Companies Market Share Analysis
10.2. Market Concentration Rate
10.3. Ingenico S.A.
- 10.3.1 Company Overview
- 10.3.2 Company Revenue
- 10.3.3 Products
- 10.3.4 Recent Developments
10.4. NCR Corporation
- 10.4.1 Company Overview
- 10.4.2 Company Revenue
- 10.4.3 Products
- 10.4.4 Recent Developments
10.5. IBM
- 10.5.1 Company Overview
- 10.5.2 Company Revenue
- 10.5.3 Products
- 10.5.4 Recent Developments
10.6. Amazon
- 10.6.1 Company Overview
- 10.6.2 Company Revenue
- 10.6.3 Products
- 10.6.4 Recent Developments
10.7. Microsoft Corporation
- 10.7.1 Company Overview
- 10.7.2 Company Revenue
- 10.7.3 Products
- 10.7.4 Recent Developments
10.8. Google Inc.
- 10.8.1 Company Overview
- 10.8.2 Company Revenue
- 10.8.3 Products
- 10.8.4 Recent Developments
10.9. Samsung Electronics
- 10.9.1 Company Overview
- 10.9.2 Company Revenue
- 10.9.3 Products
- 10.9.4 Recent Developments
10.10. Intel Corporation
- 10.10.1 Company Overview
- 10.10.2 Company Revenue
- 10.10.3 Products
- 10.10.4 Recent Developments
10.11. Verifone Systems
- 10.11.1 Company Overview
- 10.11.2 Company Revenue
- 10.11.3 Products
- 10.11.4 Recent Developments
10.12. Softbank Robotics Holdings
- 10.12.1 Company Overview
- 10.12.2 Company Revenue
- 10.12.3 Products
- 10.12.4 Recent Developments