小売自動化の世界市場規模：製品別、実装別、エンドユーザー別、地域別、範囲および予測

小売自動化市場の規模と予測

顧客体験の向上と業務効率化への要望が高まっています。小売業者は、人件費を削減し、ミスをなくし、業務を合理化するために、セルフチェックアウトシステム、スマート自動販売機、AIを搭載した在庫管理などの自動化ソリューションを導入しており、2024年には184億7,000万米ドルを超え、2031年には369億8,000万米ドルに達します。

さらに、eコマースとオムニチャネル小売の台頭により、従来の小売業者も競争力を維持するために自動化に取り組まざるを得なくなっています。COVID-19の流行は、より迅速で、非接触で、パーソナライズされた購買体験を求める消費者の渇望を加速させており、小売自動化ソリューションの導入を促進により2024年～2031年におよそ10％のCAGRで成長する見込みです。

小売自動化市場定義/概要

小売自動化とは、小売業務の簡素化、手作業の削減、消費者体験の向上を目的としたテクノロジーと自動化プロセスの活用です。セルフレジ、自動キオスク端末、スマートシェルフ、AIを活用した在庫管理などで構成されます。これらのプログラムは、小売業者の業務の合理化、運営経費の削減、在庫管理や顧客サービスなどの分野における正確性の向上を支援します。AI、機械学習、IoTの進歩により、小売自動化の未来は楽観視できそうです。パーソナライズされた、摩擦のないショッピング体験や小売の効率化に対する需要が高まる中、自動化は業界の近代化において重要な役割を果たすと思われ、より適応性が高く、顧客中心の業界となると思われます。

AIを活用した在庫管理の採用増加は小売自動化市場を牽引するか？

小売自動化業界は、AIを活用した在庫管理が広く採用されるようになるにつれて、大きく発展していくと予想されます。AIを搭載した技術は、リアルタイムの追跡、需要予測、在庫レベルの最適化を可能にすることで、小売業者の在庫管理方法に革命をもたらしています。このテクノロジーは人的ミスを減らし、在庫切れを防ぎ、より効率的なサプライチェーンを保証します。企業が業務効率を高め、高まる顧客の期待に応えようとする中で、AIを活用したテクノロジーの統合はますます重要になっています。膨大な量のデータを分析し、実用的な洞察を与えるこれらのシステムの能力は、加盟店がコストを削減し、意思決定を改善し、消費者の幸福度を向上させることを可能にするため、人気が高まっている大きな理由です。

米国国勢調査局が2023年8月に発表した報告書によると、2023年第2四半期のeコマース売上高は小売売上高全体の15.4％を占め、前年同期の14.9％から増加しており、オムニチャネル小売業務に対応する高度な在庫管理ソリューションのニーズが高まっていることを示しています。

米国商務省は2024年7月、小売業におけるAIの利用拡大を求める論文を発表し、AIを活用したソリューションが、小売業者が市場動向や消費者の要望により効果的に適応するのに役立つ可能性を強調しています。民間企業の投資と政府の奨励の両方に裏打ちされたこれらの改善は、在庫管理におけるAIの使用が小売自動化市場を牽引し続け、生産性を向上させ、業界全体の業務を合理化することを示唆しています。

自動化システムの高い導入コストは小売自動化市場の成長を妨げるか？

自動化システムの導入コストが高いことは、小売自動化事業の拡大に大きな障害となります。AI、ロボット、IoTなどの新技術を採用する場合、ハードウェア、ソフトウェア、システム統合に多額の初期投資が必要になることがあります。多くの加盟店、特に中小企業は、特に短期的な運用ニーズと長期的な報酬を天秤にかけた場合、これらのコストを正当化するのに苦労するかもしれないです。さらに、テクノロジー環境の進歩に伴い、自動化システムの維持・改善コストも上昇します。このような財政的制約は、特に利益率の低い地域や、厳しい予算で運営されている店舗において、小売自動化の一般的な導入を妨げる可能性があります。

既存の小売インフラに自動化技術を組み込むことの複雑さが、コスト関連の問題に拍車をかけることもあります。小売企業は、レガシーシステムとの互換性の確保、新技術を使用するための従業員のトレーニング、移行期間中の中断の管理などの困難に対処しなければならないです。このような困難は、特に投資対効果（ROI）がすぐに明らかでない場合、自動化の導入の遅れや、自動化に対する盛り上がりの低下を招く可能性があります。自動化は長期的に大きな利益をもたらすが、財務上・業務上の課題により、特定の市場セグメントでの成長が制限され、リテールオートメーションビジネス全体の台頭が遅れる可能性があります。

目次

第1章 世界の小売自動化市場のイントロダクション

• 市場概要
• 調査範囲
• 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの調査手法

• データマイニング
• 検証
• プライマリーインタビュー
• データソース一覧

第4章 世界の小売自動化市場展望

• 概要
• 市場力学
  • 促進要因
  • 抑制要因
  • 機会
• ポーターのファイブフォースモデル
• バリューチェーン分析

第5章 小売自動化の世界市場：製品別

• 概要
• 販売時点情報管理（POS）
• カメラ
• バーコードとRFID
• その他

第6章 小売自動化の世界市場：実装別

• 概要
• 店舗内
• 倉庫内

第7章 小売自動化の世界市場：エンドユーザー別

• 概要
• ハイパーマーケット
• スーパーマーケット
• 単品店舗
• ガソリンスタンド
• 医療・小売薬局

第8章 小売自動化の世界市場：地域別

• 概要
• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • その他欧州
• アジア太平洋
  • 中国
  • 日本
  • インド
  • その他アジア太平洋地域
• 世界のその他の地域
  • ラテンアメリカ
  • 中東・アフリカ

第9章 世界の小売自動化市場：競合情勢

• 概要
• 各社の市場ランキング
• 主な発展戦略

第10章 企業プロファイル

• Datalogic S.P.A
• First Data Corporation
• Fujitsu Limited
• Honeywell Scanning & Mobility
• NCR Corp.
• Toshiba Global Commerce Solutions Inc.
• Wincor Nixdorf AG
• Posiflex Technology Inc.
• Pricer
• Zebra Technologies Corp.

第11章 主な発展

• 製品上市／開発
• 合併と買収
• 事業拡大
• パートナーシップと提携

第12章 付録

• 関連調査

Retail Automation Market Size And Forecast

There is a rising desire for improved client experiences and operational efficiency. Retailers are implementing automated solutions such as self-checkout systems, smart vending machines, and AI-powered inventory management to cut labor costs, eliminate errors, and streamline operations is surpassing USD 18.47 Billion in 2024 and reachingUSD 36.98 Billion by 2031.

Furthermore, the rise of e-commerce and omnichannel retail tactics has compelled conventional merchants to engage in automation to remain competitive. The COVID-19 epidemic has accelerated consumers' thirst for speedier, contactless, and personalized purchasing experiences, which is driving the implementation of retail automation solutions is expected to grow at aCAGR of about 10% from 2024 to 2031.

Retail Automation Market: Definition/ Overview

Retail automation is the use of technology and automated processes to simplify retail operations, reduce manual labor, and improve consumer experiences. It comprises self-checkout systems, automated kiosks, smart shelves, and AI-powered inventory management. These programs assist retailers in streamlining operations, lowering operational expenses, and improving accuracy in areas such as stock management and customer service. The future of retail automation seems optimistic, thanks to advances in AI, machine learning, and IoT. With rising demand for personalized, frictionless shopping experiences and retail efficiency, automation is likely to play an important role in modernizing the industry, making it more adaptable and customer-centric.

What's inside a VMR industry report?

Our reports include actionable data and forward-looking analysis that help you craft pitches, create business plans, build presentations and write proposals.

Will Increasing Adoption of AI-Powered Inventory Management Drive the Retail Automation Market?

The retail automation industry is expected to develop significantly as AI-powered inventory management becomes more widely adopted. AI-powered technologies are revolutionizing the way merchants manage inventory by allowing for real-time tracking, demand forecasting, and stock level optimization. This technology lowers human mistake, prevents stockouts, and assures a more efficient supply chain. As businesses seek to increase operational efficiency and satisfy rising customer expectations, the integration of AI-powered technologies is becoming increasingly important. The ability of these systems to analyze massive amounts of data and give actionable insights is a major reason for their growing popularity, as it enables merchants to decrease costs, improve decision-making, and improve consumer happiness.

According to a report released by the United States Census Bureau in August 2023, e-commerce sales in the second quarter of 2023 accounted for 15.4% of total retail sales, up from 14.9% in the same quarter the previous year, indicating a growing need for sophisticated inventory management solutions to handle omnichannel retail operations.

In July 2024, the United States Department of Commerce issued a paper calling for the wider use of AI in retail, emphasizing how AI-powered solutions may help retailers adapt more effectively to market trends and consumer requests. These improvements, backed up by both private-sector investments and government encouragement, suggest that the use of AI in inventory management will continue to drive the retail automation market, increasing productivity and streamlining operations across industries.

Will High Implementation Costs for Automated Systems Hamper the Growth of the Retail Automation Market?

High implementation costs for automated systems provide a significant impediment to the expansion of the retail automation business. Adoption of new technologies such as AI, robots, and IoT sometimes necessitates significant initial investments in hardware, software, and system integration. Many merchants, particularly small and medium-sized enterprises, may struggle to justify these costs, especially when weighing short-term operational needs against long-term rewards. Furthermore, as the technology environment advances, the cost of maintaining and improving these automated systems rises. These financial constraints can hinder the general adoption of retail automation, particularly in areas with small margins and shops operating on tight budgets.

The complexity of incorporating automated technologies into existing retail infrastructures can add to the cost-related problems. Retailers must deal with difficulties such assuring compatibility with legacy systems, training employees to use new technology, and managing interruptions throughout the transition period. These difficulties may result in delayed adoption and decreased excitement for automation, particularly if the return on investment (ROI) is not immediately apparent. While automation provides major long-term benefits, financial and operational challenges may limit its growth in specific market segments, delaying the overall rise of the retail automation business.

Category-Wise Acumens

Will Rising Usage of Point-of- Sale (POS) the Growth of Retail Automation Market?

The growing use of Point-of-Sale (POS) systems is accelerating the expansion of the retail automation market. POS systems simplify transactions, provide real-time inventory tracking, and improve customer experience by enabling faster and more convenient payment methods, such as mobile and contactless payments. The shift to digital payments and e-commerce integration has expedited the adoption of POS solutions in retail, making them an essential tool for firms aiming to improve operational efficiency and consumer happiness. This increased reliance on POS systems is also motivated by retailers' desire to acquire greater insights into consumer behavior and improve inventory management through data analytics.

In August 2024, Square announced the release of a new AI-integrated POS system built Designed to increase the efficiency of small and medium-sized enterprises through powerful analytics and customer engagement technologies. Similarly, in July 2024, the European Commission issued a study supporting the use of digital payment technologies, particularly point-of-sale (POS), to modernize retail operations and boost economic growth. Governments are progressively encouraging the use of digital and automated technologies to boost retail sector growth and competitiveness. These reasons show that the increased use of POS systems is a major driver of retail automation, assisting retailers in optimizing their operations and meeting the changing demands of modern consumers.

POS, or automated kiosks, is the second fastest-growing market sector. Automated kiosks are becoming popular because they provide self-service options that shorten wait times and improve the entire customer experience. These kiosks are becoming more popular in a variety of retail settings, including quick-service restaurants, convenience stores, and airports, fueling their rapid expansion. The growing emphasis on client autonomy and operational efficiency helps to fuel the growth of both the POS and automated kiosk industries.

Will Rising Sales through In-Store Premises Boosting the Retail Automation Market?

Rising in-store sales are considerably boosting the retail automation market, generating demand for innovative in-store technologies. As merchants strive to improve the shopping experience in order to attract and retain customers, automated solutions such as self-checkout kiosks, digital signage, and interactive customer support systems are increasingly being adopted. These technologies optimize processes, shorten wait times, and provide individualized shopping experiences, resulting in enhanced consumer satisfaction and sales. The increased emphasis on omnichannel retail and the integration of digital solutions into physical stores increases the demand for advanced in-store automation systems.

In September 2024, Walmart stated that it would be deploying new self-checkout and interactive kiosks throughout its U.S. shops to increase operational efficiency and customer service. This approach mirrors a broader trend of major retailers investing in automation to increase sales and improve the shopping experience. Furthermore, in July 2024, the United States Department of Commerce issued a report outlining the role of in-store automation in supporting retail growth, stating that technological advancements in physical stores are critical for fulfilling changing consumer expectations and growing sales. These developments show that increased in-store sales are driving the growth of the retail automation market by encouraging the deployment of innovative technologies that improve retail operations and customer engagement.

The In-Warehouse market is the second fastest growing, driven by the demand for automation in inventory management, order fulfillment, and logistics. With the advent of e-commerce and omnichannel retail tactics, warehouses are progressively implementing robotics, AI-powered inventory systems, and automated sorting technologies to increase operational efficiency and fulfill rising customer demand. Both areas are quickly growing, but in-store premise automation is ahead due to its direct impact on customer experience.

Country/Region-wise

Will Rising Adoption of Advanced Technological Infrastructure in North America Drive the Retail Automation Market?

The growing deployment of advanced technical infrastructure in North America is a significant driver of the retail automation market. North America, including the United States and Canada, has been at the forefront of incorporating advanced technologies into retail operations. The region's strong emphasis on innovation, combined with significant investments in automation technologies such as AI, IoT, and machine learning, is changing the retail scene. This includes the widespread use of self-checkout systems, smart shelves, and powerful data analytics platforms to increase operational efficiency and the consumer experience. The integration of these technologies is critical for merchants looking to remain competitive in an increasingly digital economy.

According to a report released by the United States Department of Commerce in March 2024, investments in retail IT infrastructure climbed by 18% year on year in 2023, totaling USD 32.7 Billion. This significant investment is accelerating the development and deployment of a variety of automation technologies, such as AI-powered inventory management systems, self-checkout kiosks, and robotic warehouse solutions.

In June 2024, the United States Department of Commerce issued a report emphasizing the importance of modern technical infrastructure in fostering retail innovation and growth. The survey emphasized that merchants who use cutting-edge technologies are better positioned to fulfill changing consumer needs and streamline operations. These developments in technology infrastructure highlight North America's leadership in retail automation and its significance in driving market expansion.

Will Rising Rapid Urbanization in Asia-Pacific Propel the Retail Automation Market?

Rising rapid urbanization in Asia-Pacific is expected to considerably drive the retail automation industry. As cities around the region see explosive expansion, there is an increase in demand for modernized retail solutions to meet the growing urban population. Automation technologies, such as self-checkout systems, digital payment solutions, and AI-powered inventory management, are becoming increasingly important in meeting consumers' demands for efficiency and convenience. Densely populated urban locations necessitate more streamlined and automated retail operations to manage high transaction volumes and provide better customer experiences, which drives technology adoption.

In July 2024, Alibaba announced a significant expansion of its smart retail initiatives in China, implementing advanced automated technology in new urban locations to improve shopping experiences and successfully manage enormous client flows. Furthermore, in August 2024, the Asia-Pacific Economic Cooperation (APEC) released a report highlighting the impact of rapid urbanization on retail technology adoption, stating that urban growth is increasing the demand for automation solutions to keep up with changing consumer behaviors and high-density retail environments. These developments demonstrate how urbanization is generating demand for retail automation in Asia-Pacific, resulting in market growth as merchants adjust to the needs of quickly developing cities.

Competitive Landscape

The competitive landscape of the retail automation market is marked by the presence of a wide range of regional and global players, including technology providers, solution integrators, and software developers. Companies are competing by offering innovative solutions such as self-checkout systems, automated kiosks, and smart shelves to improve the efficiency of retail operations. With advancements in artificial intelligence, machine learning, and IoT, firms are focusing on enhancing customer experiences through personalized and automated services. Moreover, partnerships and collaborations with retailers, as well as investments in R&D for cutting-edge automation technologies, are key strategies employed to gain a competitive edge in this fast-evolving market.

Some of the prominent players operating in the retail automation market include:

Datalogic S.P.A

First Data Corporation

Fujitsu Limited

Honeywell Scanning & Mobility

NCR Corp.

Toshiba Global Commerce Solutions, Inc.

Wincor Nixdorf AG

Posiflex Technology, Inc.

Pricer

Zebra Technologies Corp.

Latest Developments

In May 2024, Kroger has introduced new in-store robotics for shelf scanning and restocking in its major supermarkets. The robots are intended to assure precise inventory and lower labor costs.

April 2024, IKEA installed interactive digital kiosks in its stores to help consumers with product information and in-store navigation, seeking to improve the shopping experience and expedite customer service.

In March 2024, Best Buy launched a new AI-powered customer service chatbot on its website and in-store tablets to provide tailored shopping assistance and answer frequent questions, hence increasing customer support and engagement.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL RETAIL AUTOMATION MARKET

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL RETAIL AUTOMATION MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3 Porters Five Force Model
• 4.4 Value Chain Analysis

5 GLOBAL RETAIL AUTOMATION MARKET, BY PRODUCT

• 5.1 Overview
• 5.2 Point-of-Sale (POS)
• 5.3 Camera
• 5.4 Barcode and RFID
• 5.5 Others

6 GLOBAL RETAIL AUTOMATION MARKET, BY IMPLEMENTATION

• 6.1 Overview
• 6.2 In-Store Premise
• 6.3 In-Warehouse

7 GLOBAL RETAIL AUTOMATION MARKET, BY END-USER

• 7.1 Overview
• 7.2 Hypermarkets
• 7.3 Supermarkets
• 7.4 Single-Item Stores
• 7.5 Petrol Pumps/Fuel Stations
• 7.6 Health and Retail Pharmacy

8 GLOBAL RETAIL AUTOMATION MARKET, BY GEOGRAPHY

• 8.1 Overview
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
  • 8.2.3 Mexico
• 8.3 Europe
  • 8.3.1 Germany
  • 8.3.2 U.K.
  • 8.3.3 France
  • 8.3.4 Rest of Europe
• 8.4 Asia Pacific
  • 8.4.1 China
  • 8.4.2 Japan
  • 8.4.3 India
  • 8.4.4 Rest of Asia Pacific
• 8.5 Rest of the World
  • 8.5.1 Latin America
  • 8.5.2 Middle East & Africa

9 GLOBAL RETAIL AUTOMATION MARKET COMPETITIVE LANDSCAPE

• 9.1 Overview
• 9.2 Company Market Ranking
• 9.3 Key Development Strategies

10 COMPANY PROFILES

• 10.1 Datalogic S.P.A
  • 10.1.1 Overview
  • 10.1.2 Financial Performance
  • 10.1.3 Product Outlook
  • 10.1.4 Key Developments
• 10.2 First Data Corporation
  • 10.2.1 Overview
  • 10.2.2 Financial Performance
  • 10.2.3 Product Outlook
  • 10.2.4 Key Developments
• 10.3 Fujitsu Limited
  • 10.3.1 Overview
  • 10.3.2 Financial Performance
  • 10.3.3 Product Outlook
  • 10.3.4 Key Developments
• 10.4 Honeywell Scanning & Mobility
  • 10.4.1 Overview
  • 10.4.2 Financial Performance
  • 10.4.3 Product Outlook
  • 10.4.4 Key Developments
• 10.5 NCR Corp.
  • 10.5.1 Overview
  • 10.5.2 Financial Performance
  • 10.5.3 Product Outlook
  • 10.5.4 Key Developments
• 10.6 Toshiba Global Commerce Solutions Inc.
  • 10.6.1 Overview
  • 10.6.2 Financial Performance
  • 10.6.3 Product Outlook
  • 10.6.4 Key Developments
• 10.7 Wincor Nixdorf AG
  • 10.7.1 Overview
  • 10.7.2 Financial Performance
  • 10.7.3 Product Outlook
  • 10.7.4 Key Developments
• 10.8 Posiflex Technology Inc.
  • 10.8.1 Overview
  • 10.8.2 Financial Performance
  • 10.8.3 Product Outlook
  • 10.8.4 Key Developments
• 10.9 Pricer
  • 10.9.1 Overview
  • 10.9.2 Financial Performance
  • 10.9.3 Product Outlook
  • 10.9.4 Key Developments
• 10.10 Zebra Technologies Corp.
  • 10.10.1 Overview
  • 10.10.2 Financial Performance
  • 10.10.3 Product Outlook
  • 10.10.4 Key Developments

11 KEY DEVELOPMENTS

• 11.1 Product Launches/Developments
• 11.2 Mergers and Acquisitions
• 11.3 Business Expansions
• 11.4 Partnerships and Collaborations

12 Appendix

• 12.1 Related Research