倉庫ロボットの米国市場の評価：タイプ別、積載量別、機能別、業界別、地域別、機会、予測（2018年～2032年）

米国の倉庫ロボットの市場規模は、ロジスティクス、eコマース、製造における自動化に向けた産業オートメーション需要により、2024年の15億1,000万米ドルから2032年に44億6,000万米ドルに達すると予測され、2025年～2032年の予測期間にCAGRで14.50%の成長が見込まれます。企業は現在、効率を高め人件費を削減するために、自律走行搬送ロボット（AMR）、ロボットアーム、AIによる仕分けシステムに依存しています。動向としては、リアルタイム在庫管理や予測分析に用いるAI、機械学習、IoTの統合が進んでいます。ロボットビジョン、協働ロボット（コボット）、GTP（Goods To Person）ソリューションの革新に取り組むスタートアップや既存企業があり、市場は競争が激しいです。サプライチェーンの混乱が続く中、柔軟で拡張性の高いロボットシステムへの投資は拡大し続け、倉庫業務やフルフィルメント戦略を再構築しています。

例えば2024年7月、Rapyuta Robotics Inc.は米国市場でRapyuta ASRS（Automated Storage and Retrieval Systems）を発売しました。Rapyuta ASRSは日本での実績があり、革新的な材料、モジュール構造、受賞歴のあるマルチエージェント協調制御アルゴリズムを特徴としています。ビジネスニーズの変化に応じてレイアウトの拡張や変更が可能なこの最新鋭のシステムは、ピッキング作業や効率的な在庫保管に比類ない生産性を提供します。

当レポートでは、米国の倉庫ロボット市場について調査分析し、市場規模と予測、市場力学、主要企業の情勢などを提供しています。

目次

第1章 プロジェクトの範囲と定義

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

• 製品と市場情報
• ブランド認知の方式
• 購入決定において考慮される要素
  • 機能と能力
  • 自律性とナビゲーション
  • 統合と互換性
  • 拡張性と柔軟性
  • 使いやすさとメンテナンス
  • 安全機能
• プライバシーと規制の考慮

第5章 米国の倉庫ロボット市場の見通し（2018年～2032年）

• 市場規模分析と予測
  • 金額
• 市場シェアの分析と予測
  • タイプ別
  • 積載量別
  • 機能別
  • 業界別
  • 地域別
  • 市場シェア分析：企業別（金額）（上位5社とその他 - 2024年）
• 市場マップ分析（2024年）
  • タイプ別
  • 積載量別
  • 機能別
  • 業界別
  • 地域別

第6章 需給分析

第7章 輸入と輸出の分析

第8章 ポーターのファイブフォース分析

第9章 PESTLE分析

第10章 価格分析

第11章 市場力学

• 市場促進要因
• 市場の課題

第12章 市場動向と発展

第13章 市場動向と発展

第14章 ケーススタディ

第15章 競合情勢

• マーケットリーダー上位5社の競合マトリクス
• 上位5社のSWOT分析
• 主要企業上位10社の情勢
  • Locus Robotics Corporation
  • FANUC CORPORATION
  • Techman Robot Inc.
  • OTTO by Rockwell Automation (Clearpath Robotics Inc.)
  • ABB
  • KUKA AG
  • Aethon, Inc.
  • Vecna Robotics, Inc.
  • Teradyne Robotics A/S
  • Daifuku Co., Ltd.

第16章 戦略的提言

第17章 調査会社について・免責事項

List of Tables

• Table 1. Competition Matrix of Top 5 Market Leaders
• Table 2. Mergers & Acquisitions/ Joint Ventures (If Applicable)
• Table 3. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

• Figure 1. United States Warehouse Robotics Market, By Value, In USD Billion, 2018-2032F
• Figure 2. United States Warehouse Robotics Market Share (%), By Type, 2018-2032F
• Figure 3. United States Warehouse Robotics Market Share (%), By Payload, 2018-2032F
• Figure 4. United States Warehouse Robotics Market Share (%), By Function, 2018-2032F
• Figure 5. United States Warehouse Robotics Market Share (%), By Vertical, 2018-2032F
• Figure 6. United States Warehouse Robotics Market Share (%), By Region, 2018-2032F
• Figure 7. By Type Map-Market Size (USD Billion) & Growth Rate (%), 2024
• Figure 8. By Payload Map-Market Size (USD Billion) & Growth Rate (%), 2024
• Figure 9. By Function Map-Market Size (USD Billion) & Growth Rate (%), 2024
• Figure 10. By Vertical Map-Market Size (USD Billion) & Growth Rate (%), 2024
• Figure 11. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2024

United States warehouse robotics market is projected to witness a CAGR of 14.50% during the forecast period 2025-2032, growing from USD 1.51 billion in 2024 to USD 4.46 billion in 2032F, owing to industrial automation demand for automation in logistics, e-commerce, and manufacturing. Companies are now depending on autonomous mobile robots (AMRs), robotic arms, and AI-driven sorting systems to enhance efficiency and reduce labor costs. Trends include greater AI, machine learning, and IoT integration for real-time inventory management and predictive analytics. The market is highly competitive, with startups and established players innovating in robotic vision, collaborative robots (cobots), and goods-to-person solutions. As supply chain disruptions persist, investment in flexible, scalable robotic systems continues to grow, reshaping warehouse operations and fulfillment strategies.

For instance, in July 2024, Rapyuta Robotics Inc. launched 'Rapyuta ASRS (Automated Storage and Retrieval Systems),' in the United States market. The Rapyuta ASRS has a track record of success in Japan and is characterized by its innovative materials, modular structure, and award-winning multi-agent coordination and control algorithms. With the ability to scale up or modify the layout as business needs change, this state-of-the-art system offers unmatched productivity for picking operations and effective inventory storage.

Rapid Growth of E-commerce Industry and Labor Shortages to Fuel the Market Growth

The exponential growth of e-commerce is intensifying pressure on warehouses to process orders faster and with greater accuracy. Consumers expect shorter delivery windows, pushing companies to adopt robotics for automated picking, sorting, and packing. Advanced AMRs and AI-driven fulfillment systems are helping warehouses scale operations without proportionally increasing labor costs. Additionally, omnichannel retail strategies require flexible automation solutions that can seamlessly handle fluctuating demand. As competition in online retail increases, investment in warehouse robotics is becoming a critical differentiator for companies prioritizing efficiency and customer satisfaction.

For instance, in October 2023, Amazon.com Inc. announced two new robotic solutions, Sequoia and Digit, to support workplace safety and help Amazon deliver to customers faster. Sequoia is the designation for this innovative technology, which is currently in operation at fulfillment centers located in Houston, Texas. While Digit is capable of moving, grasping, and managing items in unique ways within the confined spaces and corners of warehouses, its dimensions and form are ideally adapted for facilities intended for human use.

A persistent shortage of warehouse labor, coupled with rising wages, is accelerating automation adoption. Many warehouses struggle to recruit and retain workers for physically demanding, repetitive tasks, leading to operational bottlenecks. Robotics offers a scalable solution by automating these tasks while reducing reliance on human labor.

AI, ML, and Robotics-as-a-Service (RaaS) to Fuel the United States Warehouse Robotics Market

Technological innovations are making warehouse robots more autonomous, adaptable, and efficient. AI-driven navigation enables AMRs to operate dynamically in complex environments, reducing the need for predefined pathways. Computer vision and deep learning algorithms improve object recognition, allowing robotic arms to handle diverse SKUs with minimal reprogramming. Predictive analytics and AI-powered inventory management further optimize warehouse operations by minimizing errors and maximizing throughput.

For instance, in March 2024, Locus Robotics launched its transformative and innovative LocusHub business intelligence engine. LocusHub, a vital element of the LocusOne platform, utilizes sophisticated analytics, artificial intelligence (AI), and machine learning to provide predictive and prescriptive insights aimed at enhancing productivity, reducing costs, and achieving new heights of warehouse intelligence.

The high upfront costs of automation have traditionally been a barrier to adoption, particularly for small and mid-sized warehouses. Robotics-as-a-Service (RaaS) is lowering this barrier by offering flexible, subscription-based robotics solutions. Through this, companies scale operations dynamically without large capital expenditure, making automation more accessible.

E-Commerce Segment Holds the Largest Market Share

Based on vertical, the e-commerce segment holds the largest portion of United States warehouse robotics market due to its increasing demand for efficient order fulfillment, faster deliveries, and inventory management. The rapid expansion of online shopping has necessitated the automation of warehouses to handle smaller, diverse stock-keeping units (SKUs) and direct-to-consumer distribution, which traditional systems struggle to manage effectively.

Robotic systems enhance operational efficiency by automating repetitive tasks, reducing error rates, and improving delivery precision. Technologies like autonomous mobile robots (AMRs) and artificial intelligence (AI) are being integrated to optimize warehouse operations. Additionally, labor shortages and rising wages have incentivized businesses to adopt robotics as a cost-effective alternative to human labor. Hence, e-commerce giants are expanding their warehouses and making them technologically sound.

For instance, in October 2024, Amazon.com Inc. launched the next generation of fulfillment centers powered by AI and 10 times more robotics at its fulfillment center in Shreveport, Louisiana. This facility is of five floors and is spread over 3 million square feet, equivalent to 55 football fields, making it one of Amazon's largest sites.

Future Market Scenario (2025-2032F)

E-commerce-driven automation is likely to dominate with AI-enhanced robots optimizing order fulfillment and inventory management.

Labor shortages are anticipated to accelerate the adoption of collaborative robotics and human-machine hybrid workflows.

Integration challenges are projected to spur innovations in interoperable systems and advanced software interfaces.

Autonomous mobile robots (AMRs) are expected to lead scalable, flexible automation for dynamic warehouse environments.

Key Players Landscape and Outlook

Key players in the United States warehouse robotics market are focusing on a multi-faceted strategy that blends technological innovation, strategic partnerships, and scalability. Many are investing heavily in AI-driven automation, enhancing robotic perception, and improving interoperability with existing warehouse management systems (WMS). Mergers and acquisitions are common, allowing companies to expand their capabilities and enter new market segments. Additionally, subscription-based Robotics-as-a-Service (RaaS) models are gaining traction, reducing barriers to adoption. Firms also prioritize end-to-end automation solutions, integrating robotics with predictive analytics, IoT, and cloud computing to deliver seamless, data-driven warehouse operations.

For instance, in March 2025, FANUC America Corporation showcased its latest industrial and collaborative robotic solutions for warehousing and logistics at ProMat 2025. Featuring FANUC CRX-10iA/L cobot and OTTO 600 Autonomous Mobile Robot leveraging the mobility of an autonomous mobile robot, a mounted CRX-10iA/L with 1,418mm of reach retrieves and kits various products while simultaneously parking.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customers

• 4.1. Product and Market Intelligence
• 4.2. Mode of Brand Awareness
• 4.3. Factors Considered in Purchase Decisions
  • 4.3.1. Functionality and Capabilities
  • 4.3.2. Autonomy and Navigation
  • 4.3.3. Integration and Compatibility
  • 4.3.4. Scalability and Flexibility
  • 4.3.5. Ease of Use and Maintenance
  • 4.3.6. Safety Features
• 4.4. Consideration of Privacy and Regulations

5. United States Warehouse Robotics Market Outlook, 2018-2032F

• 5.1. Market Size Analysis & Forecast
  • 5.1.1. By Value
• 5.2. Market Share Analysis & Forecast
  • 5.2.1. By Type
    • 5.2.1.1. Autonomous Mobile Robots (AMR)
    • 5.2.1.2. Automated Guided Vehicle (AGV)
    • 5.2.1.3. Automated Storage and Retrieval Systems (ASRS)
    • 5.2.1.4. Cobots
    • 5.2.1.5. Unmanned Aerial Vehicles (UAV)
    • 5.2.1.6. Others
  • 5.2.2. By Payload
    • 5.2.2.1. 20 kg
    • 5.2.2.2. 20-100 kg
    • 5.2.2.3. 100-200 kg
    • 5.2.2.4. >200 kg
  • 5.2.3. By Function
    • 5.2.3.1. Transportation
    • 5.2.3.2. Pick and Place
    • 5.2.3.3. Palettizing
    • 5.2.3.4. Packaging
    • 5.2.3.5. Others
  • 5.2.4. By Vertical
    • 5.2.4.1. E-Commerce
    • 5.2.4.2. Manufacturing
    • 5.2.4.3. Food and Beverage
    • 5.2.4.4. Pharmaceutical
    • 5.2.4.5. Electronics
    • 5.2.4.6. Automotive
    • 5.2.4.7. Others
  • 5.2.5. By Region
    • 5.2.5.1. Northeast
    • 5.2.5.2. Midwest
    • 5.2.5.3. South
    • 5.2.5.4. West
  • 5.2.6. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
• 5.3. Market Map Analysis, 2024
  • 5.3.1. By Type
  • 5.3.2. By Payload
  • 5.3.3. By Function
  • 5.3.4. By Vertical
  • 5.3.5. By Region

6. Demand Supply Analysis

7. Import and Export Analysis

8. Porter's Five Forces Analysis

9. PESTLE Analysis

10. Pricing Analysis

11. Market Dynamics

• 11.1. Market Drivers
• 11.2. Market Challenges

12. Market Trends and Developments

13. Market Trends and Developments

14. Case Studies

15. Competitive Landscape

• 15.1. Competition Matrix of Top 5 Market Leaders
• 15.2. SWOT Analysis for Top 5 Players
• 15.3. Key Players Landscape for Top 10 Market Players
  • 15.3.1. Locus Robotics Corporation
    • 15.3.1.1. Company Details
    • 15.3.1.2. Key Management Personnel
    • 15.3.1.3. Products and Services
    • 15.3.1.4. Financials (As Reported)
    • 15.3.1.5. Key Market Focus and Geographical Presence
    • 15.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 15.3.2. FANUC CORPORATION
  • 15.3.3. Techman Robot Inc.
  • 15.3.4. OTTO by Rockwell Automation (Clearpath Robotics Inc.)
  • 15.3.5. ABB
  • 15.3.6. KUKA AG
  • 15.3.7. Aethon, Inc.
  • 15.3.8. Vecna Robotics, Inc.
  • 15.3.9. Teradyne Robotics A/S
  • 15.3.10. Daifuku Co., Ltd.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

16. Strategic Recommendations

17. About Us and Disclaimer