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零售業自動化

市場調查報告書

商品編碼

1775483

全球零售自動化市場預測（2025-2030）

Retail Automation Market - Forecasts from 2025 to 2030

出版日期: 2025年06月30日 | 出版商:

Knowledge Sourcing Intelligence | 英文 148 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

全球零售自動化市場預計將從 2025 年的 215.7 億美元成長到 2030 年的 327.67 億美元，複合年成長率為 8.72%。

透過進階分析實現技術進步

進階分析與人工智慧 (AI) 的融合是零售商最佳化業務和提升客戶體驗的關鍵驅動力。到 2024 年，建議系統等分析主導的自動化技術將透過分析消費者購買模式和個人化產品而普及。人工智慧驅動的庫存管理系統提高了供應鏈透明度，使一家美國大型零售商的缺貨率降低了 15%。這些技術提高了業務敏捷性，使零售商能夠有效應對需求波動，並推動市場成長。

電子商務和數位支付的成長

電子商務和數位支付的快速普及推動了對自動化的需求。到2023年，88%的美國消費者將青睞更快捷的結帳方式，這將推動自助結帳系統系統的普及。與自動POS解決方案整合的數位支付系統簡化了交易流程，為北美零售連鎖店縮短了20%的結帳時間。全通路零售的興起進一步推動了自動化的必要性，以同步線上線下營運，從而支持市場擴張。

提高業務效率和供應鏈最佳化

零售商正在利用自動化來簡化工作流程並提高供應鏈可視性。到2024年，自動化庫存追蹤系統將縮短10%的配送時間，並提高亞太市場的產品供應。機器人倉庫等自動化解決方案正在提高訂單履行效率，尤其對於亞馬遜等電商巨頭而言，這推動了對可擴展自動化技術的需求。

消費者偏好的變化

消費者對便利性和速度的需求正推動零售商擁抱自動化。到2023年，自助服務亭和基於行動應用的訂購系統在歐洲的採用率將成長12%。自動化能夠增強視覺商品行銷和客戶參與，滿足消費者對無縫購物體驗不斷變化的期望。

市場挑戰

實施成本高

實施自動化技術（例如人工智慧主導的分析和機器人系統）的高成本仍然是一大障礙，尤其對於中小企業而言。到2024年，一套全自動POS系統的平均實施成本將達到10萬美元，這將限制其在南美洲等新興市場的採用。

整合複雜性

將自動化技術整合到現有的零售系統中需要大量的技術專業知識。 2023年，中東地區的小型零售商在將自助結帳系統系統與傳統POS基礎設施整合方面面臨挑戰，減緩了市場滲透率。

監管和資料隱私問題

歐盟的 GDPR 等各種資料隱私法規使分析主導的自動化部署變得複雜：到 2024 年，歐洲基於人工智慧的建議系統的合規成本將增加 15%，這對擴展個人化解決方案的零售商構成了挑戰。

市場區隔分析

依技術

自助結帳系統系統將佔據主導地位，到2024年將佔據30%的市場佔有率，這主要得益於北美和歐洲對更快結帳的需求。機器人自動化（包括倉庫機器人）是一個快速成長的領域，受電子商務物流需求的推動。人工智慧和分析解決方案在庫存管理和客戶關係方面正日益受到青睞。

按用途

食品飲料產業將以35%的市佔率領先，2024年這一數字將達到35%，這主要得益於麥當勞德克薩斯Grab and Go餐廳等使用輸送機配送系統的自動化門市。在電子商務和自助服務技術的推動下，消費品產業正在經歷快速成長。

按地區

在沃爾瑪和亞馬遜等巨頭的推動下，北美將佔據主要佔有率，到2024年將佔市場收益的38%。亞太地區是成長最快的地區，中國和印度大力投資零售自動化，以支持電子商務的成長。中國機器人分店，例如Ochama的自動化商店，在2023年提振了該地區的需求。

主要進展

2023年，Focal Systems 進軍英國，加入英國零售商協會，並推出基於人工智慧的「自動駕駛商店」作業系統，以提高盈利和永續性。同年，麥當勞在德克薩斯州開設了一家全自動門市，消除人機交互，強調外帶便利性，開創了自動化食品零售的先河。

競爭格局

NCR Corporation、Diebold Nixdorf 和 Focal Systems 等主要企業正在透過策略擴張和收購來推動創新。 2024 年，NCR 透過整合電子商務功能增強了其 POS 解決方案，而 Diebold Nixdorf 的 DN 系列 EASY 自助服務產品則因提高門市生產力而備受青睞。這些公司正在利用人工智慧和機器人技術來保持市場領先地位。

本報告的主要優點

深刻分析：獲得涵蓋主要和新興地區的深入市場洞察，重點關注客戶群、政府政策和社會經濟因素、消費者偏好、行業垂直領域和其他細分領域。
競爭格局：了解主要企業正在採取的策略舉措，並了解正確策略的市場滲透潛力。
市場趨勢和促進因素：探索動態因素和關鍵市場趨勢以及它們將如何影響未來的市場發展。
可行的建議：利用洞察力來提供策略決策，在動態環境中開闢新的業務流和收益。
受眾範圍廣：對於新興企業、研究機構、顧問、中小企業和大型企業來說都是有益且具成本效益的。

報告的主要用途

產業與市場洞察、商業機會評估、產品需求預測、打入市場策略、地理擴張、資本支出決策、法律規範與影響、新產品開發、競爭影響

調查範圍

2022-2024年實際數據及2025-2030年預測數據
成長機會、挑戰、供應鏈前景、法規結構與趨勢分析
競爭定位、策略和市場佔有率分析
各地區（包括細分市場和國家）的收益成長和預測分析
公司簡介（主要包括策略、產品、財務資訊、主要發展動態等）

The integration of advanced analytics and artificial intelligence (AI) is a primary driver, enabling retailers to optimize operations and enhance customer experiences. In 2024, analytics-driven automation, such as recommendation systems, gained traction by analyzing consumer purchasing patterns to personalize offerings. AI-powered inventory management systems improved supply chain transparency, reducing stockouts by 15% in major U.S. retailers. These technologies enhance business agility, allowing retailers to respond to demand fluctuations efficiently, driving market growth.

E-Commerce Growth and Digital Payments

The surge in e-commerce and digital payment adoption is fueling demand for automation. In 2023, 88% of U.S. consumers preferred faster checkout options, boosting self-checkout system adoption. Digital payment systems, integrated with automated point-of-sale (POS) solutions, streamlined transactions, reducing checkout times by 20% in North American retail chains. The rise of omnichannel retailing further necessitates automation to synchronize online and offline operations, supporting market expansion.

Operational Efficiency and Supply Chain Optimization

Retailers are leveraging automation to streamline workflows and enhance supply chain visibility. In 2024, automated inventory tracking systems reduced delivery times by 10% in Asia-Pacific markets, improving product availability. Automation solutions, such as robotic warehousing, enhanced efficiency in order fulfillment, particularly for e-commerce giants like Amazon, driving demand for scalable automation technologies.

Changing Consumer Preferences

Consumer demand for convenience and speed is pushing retailers to adopt automation. In 2023, self-service kiosks and mobile app-based ordering systems saw a 12% adoption increase in Europe, driven by consumer preference for contactless experiences. Automation enhances visual merchandising and customer engagement, aligning with evolving expectations for seamless shopping experiences.

Market Challenges

High Implementation Costs

The high cost of deploying automation technologies, such as AI-driven analytics and robotic systems, remains a barrier, particularly for small and medium enterprises (SMEs). In 2024, the average cost of implementing a fully automated POS system was USD 100,000, limiting adoption in emerging markets like South America.

Integration Complexity

Integrating automation with existing retail systems requires significant technical expertise. In 2023, smaller retailers in the Middle East faced challenges integrating self-checkout systems with legacy POS infrastructure, slowing market penetration.

Regulatory and Data Privacy Concerns

Diverse data privacy regulations, such as the EU's GDPR, complicate the deployment of analytics-driven automation. In 2024, compliance costs for AI-based recommendation systems increased by 15% in Europe, posing challenges for retailers scaling personalized solutions.

Market Segmentation Analysis

By Technology

Self-checkout systems dominate, holding a 30% market share in 2024, driven by demand for faster checkouts in North America and Europe. Robotic automation, including warehouse robots, is the fastest-growing segment, fueled by e-commerce logistics needs. AI and analytics solutions are gaining traction for inventory and customer management.

By Application

The food and beverage sector leads, with a 35% share in 2024, driven by automated outlets like McDonald's Texas grab-and-go restaurant, which uses conveyor belt delivery systems. The consumer goods sector is growing rapidly, supported by e-commerce and self-service technologies.

By Geography

North America holds a significant share, contributing 38% of market revenue in 2024, driven by major players like Walmart and Amazon. Asia-Pacific is the fastest-growing region, with China and India investing heavily in retail automation to support e-commerce growth. In 2023, China's robotic store openings, such as Ochama's automated outlets, boosted regional demand.

Key Developments

In 2023, Focal Systems expanded into the UK, joining the British Retail Consortium and launching its AI-powered "Self-Driving Store" Operating System, enhancing profitability and sustainability. The same year, McDonald's opened a fully automated outlet in Texas, eliminating human interaction and focusing on grab-and-go convenience, setting a precedent for automated food retail.

Competitive Landscape

Key players, including NCR Corporation, Diebold Nixdorf, and Focal Systems, drive innovation through strategic expansions and acquisitions. In 2024, NCR enhanced its POS solutions with integrated e-commerce capabilities, while Diebold Nixdorf's DN Series EASY self-service products gained traction for improving store productivity. These companies leverage AI and robotics to maintain market leadership.

Key Benefits of this Report:

Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

Historical data from 2022 to 2024 & forecast data from 2025 to 2030
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others.

Retail Automation Market Segmentation

By Component

Hardware
POS System
Vending Machines
Barcode Scanner
Others
Software
Payment Processing Software
Inventory Management Software
Others

By Product

RFID
Robotics
Automatic Storage and Retrieval System
Others

By Technology

Artificial Intelligence (AI)
Internet of Things (IoT)
Others

By Application

Supermarket & Hypermarket
Specialty Stores
Fuel Stations
Others

By Geography

North America
United States
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
UK
Germany
France
Italy
Spain
Others
The Middle East and Africa (MEA)
Saudi Arabia
UAE
Israel
Others
Asia Pacific
China
Japan
South Korea
India
Indonesia
Thailand
Taiwan
Others

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

2.1. Market Overview
2.2. Market Definition
2.3. Scope of the Study
2.4. Market Segmentation

3. BUSINESS LANDSCAPE

3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Porter's Five Forces Analysis
3.5. Industry Value Chain Analysis
3.6. Policies and Regulations
3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. RETAIL AUTOMATION MARKET BY COMPONENT

5.1. Introduction
5.2. Hardware
- 5.2.1. POS System
- 5.2.2. Vending Machine
- 5.2.3. Barcode Scanner
- 5.2.4. Others
5.3. Software
- 5.3.1. Payment Processing Software
- 5.3.2. Inventory Management Software
- 5.3.3. Others

6. RETAIL AUTOMATION MARKET BY PRODUCT

6.1. Introduction
6.2. RFID
6.3. Robotics
6.4. Automatic Storage & Retrieval System
6.5. Others

7. RETAIL AUTOMATION MARKET BY TECHNOLOGY

7.1. Introduction
7.2. Artificial Intelligence (AI)
7.3. Internet of Things (IoT)
7.4. Others

8. RETAIL AUTOMATION MARKET BY APPLICATION

8.1. Introduction
8.2. Supermarket & Hypermarket
8.3. Specialty Stores
8.4. Fuel Stations
8.5. Others

9. RETAIL AUTOMATION MARKET BY GEOGRAPHY

9.1. Introduction
9.2. North America
- 9.2.1. USA
- 9.2.2. Canada
- 9.2.3. Mexico
9.3. South America
- 9.3.1. Brazil
- 9.3.2. Argentina
- 9.3.3. Others
9.4. Europe
- 9.4.1. Germany
- 9.4.2. France
- 9.4.3. United Kingdom
- 9.4.4. Spain
- 9.4.5. Others
9.5. Middle East and Africa
- 9.5.1. Saudi Arabia
- 9.5.2. UAE
- 9.5.3. Others
9.6. Asia Pacific
- 9.6.1. China
- 9.6.2. India
- 9.6.3. Japan
- 9.6.4. South Korea
- 9.6.5. Indonesia
- 9.6.6. Others