小売在庫管理ソフトウェア市場- 世界の産業規模、シェア、動向、機会、予測、製品別、展開別、組織規模別、地域別、競争別、2020-2030F

小売在庫管理ソフトウェアの世界市場規模は2024年に15億9,000万米ドルで、2030年までのCAGRは12.36%で2030年には32億米ドルに達すると予測されています。

小売在庫管理ソフトウェアとは、小売企業が在庫を効率的に管理・コントロールできるように設計された専門デジタルソリューションのことです。

これらのソフトウェアシステムにより、企業は在庫レベルの追跡、注文管理、需要予測、在庫補充の最適化、複数拠点にまたがる商品の整理された記録の維持が可能になります。多くの場合、リアルタイムのデータ更新、POSシステムとの統合、在庫動向、販売実績、顧客の嗜好に関する洞察を提供する高度な分析機能を備えています。eコマースの台頭、サプライチェーンの複雑化、シームレスなオムニチャネル体験のニーズの高まりに伴い、このようなソフトウェアの需要は着実に高まっています。小売企業はこのソフトウェアを使用することで、在庫切れを減らし、過剰在庫を最小限に抑え、反復作業を自動化することができ、これらすべてがコスト削減と顧客満足度の向上につながります。

このソフトウェアは、商品パフォーマンスに関する洞察を提供することで、より良い意思決定をサポートし、十分な情報に基づいた購買戦略や販売戦略に役立てることができます。小売在庫管理ソフトウェアの市場は、あらゆる規模の企業に拡張性と柔軟性を提供するクラウドベースのソリューションの採用増加など、いくつかの要因によって成長が見込まれています。中堅・中小企業も、手頃な価格とユーザーフレンドリーなインターフェイスの恩恵を受けて、これらのシステムを採用しています。実店舗やオンライン・プラットフォームなど、さまざまな販売チャネルの在庫をリアルタイムで可視化・管理したいというニーズの高まりが、こうしたソフトウェアの必要性を高めています。また、小売企業は在庫予測を強化するためにデータ分析や人工知能への依存を強めており、これが市場の成長をさらに後押ししています。

技術の進歩に伴い、小売在庫管理ソフトウェアは進化を続け、モノのインターネット機器や高度な機械学習アルゴリズム、在庫管理をさらに最適化するその他のスマートテクノロジーと統合され、効率性と収益性を高める方法を探している企業にとって、市場はさらに魅力的なものとなるでしょう。また、無駄の削減、業務の持続可能性の向上、eコマースプラットフォームへの依存度の高まりに注目が集まっていることも、小売企業が現代の在庫管理の課題に対応する革新的なソリューションを求めていることから、この市場の立ち上がり要因となっています。その結果、小売在庫管理ソフトウェア市場は今後数年間で大きな成長を遂げるものと思われます。

主な市場促進要因

eコマースとオムニチャネル・リテイリングの増加

主な市場課題

既存のレガシーシステムとの統合

主な市場動向

予測分析のための人工知能と機械学習の採用

目次

第1章 ソリューションの概要

• 市場の定義
• 市場の範囲
  • 対象市場
  • 調査対象年
  • 主要市場セグメンテーション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 世界の小売在庫管理ソフトウェア市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • 製品別（高度な無線周波数システム、バーコードスキャンシステム、手動管理在庫システム）
  • 展開別（オンプレミス、クラウドベース）
  • 組織規模別（中小企業、大企業）
  • 地域別（北米、欧州、南米、中東・アフリカ、アジア太平洋）
• 企業別（2024）
• 市場マップ

第6章 北米の小売在庫管理ソフトウェア市場展望

• 市場規模・予測
• 市場シェア・予測
• 北米：国別分析
  • 米国
  • カナダ
  • メキシコ

第7章 欧州の小売在庫管理ソフトウェア市場展望

• 市場規模・予測
• 市場シェア・予測
• 欧州：国別分析
  • ドイツ
  • フランス
  • 英国
  • イタリア
  • スペイン

第8章 アジア太平洋地域の小売在庫管理ソフトウェア市場展望

• 市場規模・予測
• 市場シェア・予測
• アジア太平洋地域：国別分析
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア

第9章 中東・アフリカの小売在庫管理ソフトウェア市場展望

• 市場規模・予測
• 市場シェア・予測
• 中東・アフリカ：国別分析
  • サウジアラビア
  • アラブ首長国連邦
  • 南アフリカ

第10章 南米の小売在庫管理ソフトウェア市場展望

• 市場規模・予測
• 市場シェア・予測
• 南米：国別分析
  • ブラジル
  • コロンビア
  • アルゼンチン

第11章 市場力学

• 促進要因
• 課題

第12章 市場動向と発展

• 合併と買収
• 製品上市
• 最近の動向

第13章 企業プロファイル

• Oracle Corporation
• SAP SE
• Microsoft Corporation
• IBM Corporation
• Zebra Technologies Corporation
• Posist Technologies Private Limited
• Lightspeed Commerce Inc.
• Retail Pro International, LLC
• Brightpearl, Inc.
• Epicor Software Corporation

第14章 戦略的提言

第15章 調査会社について・免責事項

The Global Retail Inventory Management Software Market was valued at USD 1.59 billion in 2024 and is expected to reach USD 3.20 billion by 2030 with a CAGR of 12.36% through 2030. Retail Inventory Management Software refers to specialized digital solutions designed to help retail businesses manage and control their inventory efficiently.

These software systems enable businesses to track stock levels, manage orders, forecast demand, optimize stock replenishment, and maintain an organized record of products across multiple locations. They often feature real-time data updates, integration with point-of-sale systems, and advanced analytics to provide insights into inventory trends, sales performance, and customer preferences. With the rise of e-commerce, the growing complexity of supply chains, and the increasing need for seamless omnichannel experiences, the demand for such software is steadily increasing. Retailers can use this software to reduce stockouts, minimize overstocking, and automate repetitive tasks, all of which lead to cost savings and improved customer satisfaction.

The software supports better decision-making by offering insights into product performance, which can be used to make informed purchasing and sales strategies. The market for Retail Inventory Management Software is expected to grow due to several factors, including the increasing adoption of cloud-based solutions, which provide scalability and flexibility to businesses of all sizes. Small and medium-sized enterprises are also adopting these systems, benefiting from their affordability and user-friendly interfaces. The rise in demand for real-time visibility and control over inventory across various sales channels, such as physical stores and online platforms, is driving the need for such software. Retailers are also increasingly relying on data analytics and artificial intelligence to enhance inventory forecasting, which further boosts the market's growth.

As technology continues to advance, Retail Inventory Management Software will continue to evolve, integrating with Internet of Things devices, advanced machine learning algorithms, and other smart technologies that will further optimize inventory management, making the market even more attractive to businesses looking for ways to enhance efficiency and profitability. The increased focus on reducing waste, improving sustainability in operations, and the growing reliance on e-commerce platforms are also factors contributing to the rise of this market, as retailers seek innovative solutions to meet the challenges of modern inventory management. Consequently, the Retail Inventory Management Software Market is poised to experience significant growth in the coming years.

Key Market Drivers

Increase in E-commerce and Omnichannel Retailing

The continuous rise of e-commerce and the shift towards omnichannel retailing have significantly driven the growth of the Retail Inventory Management Software Market. Consumers increasingly demand seamless shopping experiences, whether they are shopping online, in-store, or through hybrid channels. This trend has intensified the need for retailers to maintain accurate inventory across multiple platforms. Retail Inventory Management Software plays a crucial role in managing inventory in real time across various sales channels, ensuring that stock levels are always up-to-date and orders are fulfilled without delays. The ability to provide accurate stock visibility across multiple locations, such as warehouses, distribution centers, and retail stores, is a key requirement for businesses that are operating in both physical and digital spaces. Retailers must be able to manage inventory efficiently to prevent stockouts and overstocking, both of which can lead to lost sales, increased costs, and reduced customer satisfaction.

The integration of advanced tools within Retail Inventory Management Software, such as automatic stock replenishment and real-time tracking, ensures that inventory management becomes more responsive and adaptive to consumer demand. With more retailers focusing on omnichannel strategies, the demand for sophisticated Retail Inventory Management Software is intensifying. Retailers need systems that not only provide accurate inventory tracking but also offer data-driven insights into customer behavior, sales trends, and demand forecasting. This software enables businesses to achieve a unified view of their inventory, thus improving their ability to optimize stock levels and enhance the overall customer experience. In 2024, e-commerce accounted for over 18% of total retail sales in North America, with over 65% of consumers using multiple platforms-online, in-store, and mobile apps-to complete a single purchase journey, driving the need for unified inventory tracking across channels.

Key Market Challenges

Integration with Existing Legacy Systems

One of the primary challenges facing the Retail Inventory Management Software Market is the difficulty of integrating new software solutions with existing legacy systems that many businesses still rely on. Retailers, especially those with long-established operations, often have legacy infrastructure that is not compatible with modern software systems, making the integration process complex and costly. Legacy systems may be deeply embedded within business operations, making it difficult to migrate to more advanced Retail Inventory Management Software without disrupting daily activities or incurring significant downtime. This challenge arises from the fact that older systems were not designed to accommodate the new functionalities, such as real-time inventory tracking, cloud integration, and advanced data analytics, that modern software offers. As a result, the integration process require substantial customization, technical support, and even complete overhauls of existing systems to ensure compatibility with the new software.

Retailers may also need to invest in employee retraining and change management to ensure that staff can effectively use the new system. For many businesses, the costs associated with integration ranging from software customization to training and downtime can be prohibitively high, leading them to delay the adoption of new Retail Inventory Management Software or even forgo it altogether. This resistance to change can hinder the overall growth of the market, especially among small and medium-sized enterprises that lack the necessary resources to invest in such transitions. Businesses that fail to integrate their new systems effectively may struggle with inconsistent inventory data, poor decision-making, and operational inefficiencies, ultimately leading to a negative impact on profitability and customer satisfaction. To address this challenge, software providers are increasingly offering flexible, scalable solutions that can be tailored to integrate with legacy systems without requiring a complete overhaul. However, this remains a significant obstacle for many retailers, particularly those operating in complex environments or with outdated technological infrastructures.

Key Market Trends

Adoption of Artificial Intelligence and Machine Learning for Predictive Analytics

One of the prominent trends in the Retail Inventory Management Software Market is the increasing integration of artificial intelligence and machine learning technologies. These technologies are revolutionizing inventory management by enhancing forecasting accuracy and enabling predictive analytics. Retailers are leveraging artificial intelligence to analyze vast amounts of data, including past sales trends, seasonality, customer behavior, and external factors, to predict future demand. Machine learning algorithms are capable of learning from historical data and continuously improving predictions as new information is fed into the system, leading to more precise inventory management. With predictive analytics, retailers can optimize their inventory levels, ensuring that they stock the right products in the right quantities at the right time. This reduces the risk of stockouts and overstocking, both of which can be costly for businesses.

Key Market Players

• Oracle Corporation
• SAP SE
• Microsoft Corporation
• IBM Corporation
• Zebra Technologies Corporation
• Posist Technologies Private Limited
• Lightspeed Commerce Inc.
• Retail Pro International, LLC
• Brightpearl, Inc.
• Epicor Software Corporation

Report Scope:

In this report, the Global Retail Inventory Management Software Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Retail Inventory Management Software Market, By Product:

• Advanced Radio Frequency System
• Barcode Scanning System
• Manually Managed Inventory System

Retail Inventory Management Software Market, By Deployment:

• On-Premises
• Cloud-Based

Retail Inventory Management Software Market, By Organization Size:

• Small & Medium Enterprises
• Large Enterprises

Retail Inventory Management Software Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
• South America
  • Brazil
  • Colombia
  • Argentina

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Retail Inventory Management Software Market.

Available Customizations:

Global Retail Inventory Management Software Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Solution Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, and Trends

4. Voice of Customer

5. Global Retail Inventory Management Software Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Product (Advanced Radio Frequency System, Barcode Scanning System, Manually Managed Inventory System)
  • 5.2.2. By Deployment (On-Premises, Cloud-Based)
  • 5.2.3. By Organization Size (Small & Medium Enterprises, Large Enterprises)
  • 5.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
• 5.3. By Company (2024)
• 5.4. Market Map

6. North America Retail Inventory Management Software Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Product
  • 6.2.2. By Deployment
  • 6.2.3. By Organization Size
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Retail Inventory Management Software Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Product
      • 6.3.1.2.2. By Deployment
      • 6.3.1.2.3. By Organization Size
  • 6.3.2. Canada Retail Inventory Management Software Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Product
      • 6.3.2.2.2. By Deployment
      • 6.3.2.2.3. By Organization Size
  • 6.3.3. Mexico Retail Inventory Management Software Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Product
      • 6.3.3.2.2. By Deployment
      • 6.3.3.2.3. By Organization Size

7. Europe Retail Inventory Management Software Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Product
  • 7.2.2. By Deployment
  • 7.2.3. By Organization Size
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Retail Inventory Management Software Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Product
      • 7.3.1.2.2. By Deployment
      • 7.3.1.2.3. By Organization Size
  • 7.3.2. France Retail Inventory Management Software Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Product
      • 7.3.2.2.2. By Deployment
      • 7.3.2.2.3. By Organization Size
  • 7.3.3. United Kingdom Retail Inventory Management Software Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Product
      • 7.3.3.2.2. By Deployment
      • 7.3.3.2.3. By Organization Size
  • 7.3.4. Italy Retail Inventory Management Software Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Product
      • 7.3.4.2.2. By Deployment
      • 7.3.4.2.3. By Organization Size
  • 7.3.5. Spain Retail Inventory Management Software Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Product
      • 7.3.5.2.2. By Deployment
      • 7.3.5.2.3. By Organization Size

8. Asia Pacific Retail Inventory Management Software Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Product
  • 8.2.2. By Deployment
  • 8.2.3. By Organization Size
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Retail Inventory Management Software Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Product
      • 8.3.1.2.2. By Deployment
      • 8.3.1.2.3. By Organization Size
  • 8.3.2. India Retail Inventory Management Software Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Product
      • 8.3.2.2.2. By Deployment
      • 8.3.2.2.3. By Organization Size
  • 8.3.3. Japan Retail Inventory Management Software Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Product
      • 8.3.3.2.2. By Deployment
      • 8.3.3.2.3. By Organization Size
  • 8.3.4. South Korea Retail Inventory Management Software Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Product
      • 8.3.4.2.2. By Deployment
      • 8.3.4.2.3. By Organization Size
  • 8.3.5. Australia Retail Inventory Management Software Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Product
      • 8.3.5.2.2. By Deployment
      • 8.3.5.2.3. By Organization Size

9. Middle East & Africa Retail Inventory Management Software Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Product
  • 9.2.2. By Deployment
  • 9.2.3. By Organization Size
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Retail Inventory Management Software Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Product
      • 9.3.1.2.2. By Deployment
      • 9.3.1.2.3. By Organization Size
  • 9.3.2. UAE Retail Inventory Management Software Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Product
      • 9.3.2.2.2. By Deployment
      • 9.3.2.2.3. By Organization Size
  • 9.3.3. South Africa Retail Inventory Management Software Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Product
      • 9.3.3.2.2. By Deployment
      • 9.3.3.2.3. By Organization Size

10. South America Retail Inventory Management Software Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Product
  • 10.2.2. By Deployment
  • 10.2.3. By Organization Size
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Retail Inventory Management Software Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Product
      • 10.3.1.2.2. By Deployment
      • 10.3.1.2.3. By Organization Size
  • 10.3.2. Colombia Retail Inventory Management Software Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Product
      • 10.3.2.2.2. By Deployment
      • 10.3.2.2.3. By Organization Size
  • 10.3.3. Argentina Retail Inventory Management Software Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Product
      • 10.3.3.2.2. By Deployment
      • 10.3.3.2.3. By Organization Size

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends and Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Company Profiles

• 13.1. Oracle Corporation
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue and Financials
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel
  • 13.1.5. Key Product/Services Offered
• 13.2. SAP SE
• 13.3. Microsoft Corporation
• 13.4. IBM Corporation
• 13.5. Zebra Technologies Corporation
• 13.6. Posist Technologies Private Limited
• 13.7. Lightspeed Commerce Inc.
• 13.8. Retail Pro International, LLC
• 13.9. Brightpearl, Inc.
• 13.10. Epicor Software Corporation

14. Strategic Recommendations

15. About Us & Disclaimer