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スマートウェアハウジング市場規模、シェア、動向分析レポート：コンポーネント別、展開別、技術別、用途別、倉庫規模別、業界別、地域別、セグメント予測、2023年～2030年

Smart Warehousing Market Size, Share & Trends Analysis Report By Component (Hardware, Software, Services), By Deployment (Cloud, On-premises), By Technology, By Application, By Warehouse Size, By Vertical, By Region, & Segment Forecasts, 2023-2030
出版日: | 発行: Grand View Research | ページ情報: 英文 150 Pages | 納期: 2～10営業日

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価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=157.53円
スマートウェアハウジング市場規模、シェア、動向分析レポート：コンポーネント別、展開別、技術別、用途別、倉庫規模別、業界別、地域別、セグメント予測、2023年～2030年
出版日: 2023年12月07日
発行: Grand View Research
ページ情報: 英文 150 Pages
納期: 2～10営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

スマートウェアハウジング市場の成長と動向：

Grand View Research社の最新レポートによると、世界のスマートウェアハウジング市場は2030年までに579億7,000万米ドルに達すると予測されています。

同市場は2023年から2030年にかけてCAGR 14.2％で成長すると予測されます。市場成長の原動力となっているのは、様々な産業における自動化とロボティクスソリューションに対する需要の増加、オンラインショッピングの増加、廃棄物を最小限に抑えるためのグリーンイニシアティブと持続可能性への注目の高まりです。グリーンイニシアティブと持続可能性への注目の高まりは、倉庫におけるスマートウェアハウジングソリューションの使用増加に大きく影響しています。企業が環境への責任を優先する中、スマートウェアハウジング技術は廃棄物の最小化と資源利用の最適化に貢献しています。

スマートウェアハウジングの自動化とデジタル化は、より効率的な在庫管理につながり、過剰在庫を削減し、過剰生産による環境への影響を最小限に抑えます。スマート技術は、正確な需要予測と在庫の最適化を可能にし、倉庫業務を実際の消費パターンに合わせることで、不必要な無駄を省きます。さらに、リアルタイムのモニタリングとデータ分析により、倉庫は非効率を特定できるようになり、より持続可能な実践とエネルギー消費の削減につながります。自律走行車と最適化されたルーティングの導入は、スマートウェアハウジング内の商品輸送におけるカーボンフットプリントの最小化にさらに貢献します。全体として、スマートウェアハウジングソリューションの統合は、より広範な持続可能性の目標に沿うものであり、より効率的に運営し、廃棄物を削減し、サプライチェーン業務において環境に配慮した慣行に貢献するためのツールを企業に提供するものです。

さらに、マルチチャネル流通ネットワークの出現は、市場におけるスマートウェアハウジングソリューションの採用拡大に大きく影響しています。オンライン・プラットフォーム、小売店、消費者直販モデルなど、さまざまなチャネルでビジネスが拡大するにつれ、サプライチェーン管理の複雑さは増しています。スマート・ウェアハウス・ソリューションは、リアルタイムの可視性、在庫の最適化、効率的な注文処理などを提供することで、こうした多チャネル流通ネットワーク内のオペレーションを合理化する上で重要な役割を果たしています。これらの技術は、多様なチャネルにわたる在庫のシームレスな調整と同期化を可能にし、正確な在庫レベルを確保し、注文処理時間を短縮し、全体的な業務効率を高めます。スマートウェアハウジングソリューションの統合は、マルチチャネル流通のダイナミックな需要に応えようとする企業にとって必須となり、市場動向や顧客の嗜好の変化に適応するための拡張性と俊敏性を備えたインフラを提供します。

結局のところ、スマートウェアハウジングソリューションの採用は、マルチチャネル流通の進化する状況への戦略的対応であり、多様な販売チャネルにまたがるサプライチェーンの管理において、可視性、応答性、有効性を高めるツールを企業に提供するものです。

拡張現実（AR）と仮想現実（VR）技術の採用は、市場に大きな機会をもたらします。ARとVRは高度な可視化とインタラクティブ機能を提供し、倉庫オペレータが業務のさまざまな側面を最適化できるようにします。AR技術は、スマートグラスやヘッドセットを介して作業員にリアルタイムの情報や視覚的な合図を提供し、正確性と効率の向上につながる、オーダーピッキングプロセスの強化に活用することができます。一方、VRは没入型のトレーニング・シミュレーションに採用することができ、倉庫スタッフは物理的なセットアップを必要とせずに現実的なトレーニング・シナリオを受けることができます。これらの技術は、作業員の生産性向上、ミスの減少、トレーニングプログラムの強化に貢献し、最終的には倉庫業務の最適化につながります。技術の成熟が進むにつれて、スマートウェアハウジングにおけるARとVRの統合は、現在のプロセスを改善するだけでなく、よりインテリジェントで、応答性が高く、効率的な倉庫環境を構築するための革新的な可能性を解き放つ。

市場は競争が激しく、複数の主要な市場企業が存在します。同市場の著名なプレーヤーとしては、Honeywell International Inc.、Siemens、Zebra Technologies Corporation、IBM Corporation、Oracle Corporation、SAP SE、KION Group AG、Cognex Corporation、ABB Ltd.、Tecsys, Inc.、Manhattan Associates、PSI Logistics、Replyなどが挙げられます。これらのプレーヤーは、競合に先んじるために新製品の発表などの戦略を採用しています。例えば、ファクトリーオートメーションとインダストリー4.0ソリューションのリーダーであるオムロン株式会社は、2023年9月、可搬重量650kgの自律移動ロボット（AMR）MD-650を発売し、部品・材料搬送用途の自律移動ロボットのラインアップを拡充しました。MD-650は、独自の制御技術を搭載し、人と機械の協働が進む生産現場での安全でスムーズな搬送を実現し、重量物搬送業務の効率化要求の高まりに対応します。

スマートウェアハウジング市場のレポートハイライト

  • ハードウェア・セグメントは2022年に50.1%の最大市場シェアを占めました。これは、自動搬送車、ロボット・システム、IoT対応デバイスなどの先進技術の導入における基礎的役割によるもので、大幅な省力化に貢献し、データ主導の意思決定と倉庫プロセスの最適化のためのシームレスな接続を可能にします。
  • クラウド導入は、その比類のないスケーラビリティ、コスト効率の高いサブスクリプションモデル、迅速な導入、リモートアクセス、自動更新、統合機能、効率的なデータ分析により、最適化されたオペレーションのための俊敏で接続されたエコシステムを企業に提供するため、予測期間で最も速いCAGRを示すことが期待されています。
  • 2022年の市場は、ロボティクスとオートメーション・セグメントが支配的でした。このセグメントの成長は、タスクの自動化とプロセスの合理化を通じて業務効率を大幅に向上させる役割に起因しています。
  • オーダーフルフィルメント部門は、2022年に33.9％の最大市場シェアを占めました。これは、リアルタイム追跡、自動化、高度分析などの技術の統合を通じて、プロセスを最適化し、エラーを削減し、迅速かつ正確な製品配送を確保する役割を果たすためです。
  • 大規模倉庫の規模が2022年に最大の市場シェアを占めました。大規模倉庫は、広範な在庫の管理と大量の注文処理に伴う拡張性と運用の複雑さのため、スマートウェアハウスに適しているからです。
  • 小売・eコマース部門は、予測期間中に15.4%という最速のCAGRを記録しました。このセグメントの成長は、オンラインショッピングの急成長と迅速な注文処理の必要性に起因しています。
  • 北米が市場を独占し、2022年には31.8%のシェアを占めました。これは高度な技術インフラと確立されたロジスティクス産業によるものです。

目次

第1章 調査手法と範囲

第2章 エグゼクティブサマリー

第3章 市場変数、動向、および範囲展望

  • 市場系統の見通し
  • スマートウェアハウジング市場バリューチェーン分析
  • スマートウェアハウジング市場力学
  • 業界分析 - ポーターのファイブフォース分析
  • スマートウェアハウジング市場PESTEL分析

第4章 スマートウェアハウジング市場のコンポーネント展望

  • スマートウェアハウジング市場、コンポーネント分析および市場シェア別、2022年および2030年
  • ハードウェア
  • ソフトウェア
  • サービス

第5章 スマートウェアハウジング市場の展開展望

  • スマートウェアハウジング市場、展開分析および市場シェア別、2022年および2030年
  • クラウド
  • オンプレミス

第6章 スマートウェアハウジング市場の技術展望

  • スマートウェアハウジング市場、技術分析および市場シェア別、2022年および2030年
  • IoT
  • ロボティクスとオートメーション
  • AIと分析
  • ネットワーキングとコミュニケーション
  • ARとVR
  • その他

第7章 スマートウェアハウジング市場の用途展望

  • スマートウェアハウジング市場、用途分析および市場シェア別、2022年および2030年
  • 在庫管理
  • 受注処理
  • 資産管理
  • 予測分析
  • その他

第8章 スマートウェアハウジング市場の倉庫規模展望

  • スマートウェアハウジング市場、倉庫規模分析および市場シェア別、2022年および2030年
  • 小
  • 中
  • 大

第9章 スマートウェアハウジング市場の業界展望

  • スマートウェアハウジング市場、業界別、2022年および2030年
  • 輸送・物流
  • 小売・eコマース
  • 製造業
  • ヘルスケア
  • エネルギー・公共事業
  • 自動車
  • 食品・飲料
  • その他

第10章 スマートウェアハウジング市場：地域推定・動向分析

  • 地域別スマートウェアハウジング市場シェア、2022年および2030年
  • 北米
    • コンポーネント別、2017年～2030年
    • 展開別、2017年～2030年
    • 技術別、2017年～2030年
    • 用途別、2017年～2030年
    • 倉庫規模別、2017年～2030年
    • 業界別、2017年～2030年
    • 米国
    • カナダ
  • 欧州
    • コンポーネント別、2017年～2030年
    • 展開別、2017年～2030年
    • 技術別、2017年～2030年
    • 用途別、2017年～2030年
    • 倉庫規模別、2017年～2030年
    • 業界別、2017年～2030年
    • 英国
    • ドイツ
    • フランス
  • アジア太平洋
    • コンポーネント別、2017年～2030年
    • 展開別、2017年～2030年
    • 技術別、2017年～2030年
    • 用途別、2017年～2030年
    • 倉庫規模別、2017年～2030年
    • 業界別、2017年～2030年
    • 中国
    • インド
    • 日本
    • 韓国
    • オーストラリア
  • ラテンアメリカ
    • コンポーネント別、2017年～2030年
    • 展開別、2017年～2030年
    • 技術別、2017年～2030年
    • 用途別、2017年～2030年
    • 倉庫規模別、2017年～2030年
    • 業界別、2017年～2030年
    • ブラジル
    • メキシコ
  • 中東・アフリカ
    • コンポーネント別、2017年～2030年
    • 展開別、2017年～2030年
    • 技術別、2017年～2030年
    • 用途別、2017年～2030年
    • 倉庫規模別、2017年～2030年
    • 業界別、2017年～2030年
    • サウジアラビア王国（KSA）
    • アラブ首長国連邦
    • 南アフリカ

第11章 スマートウェアハウジング市場の競合情勢

  • 主要な市場参入企業
    • Honeywell International Inc.
    • Siemens
    • Zebra Technologies Corporation
    • IBM Corporation
    • Oracle Corporation
    • SAP SE
    • KION Group AG
    • Cognex Corporation
    • ABB Ltd.
    • Tecsys, Inc.
    • Manhattan Associates
    • PSI Logistics
    • Reply
  • 主要企業の市場シェア分析、2022年
  • 企業分類/ポジション分析、2022年
  • 戦略的マッピング
    • 拡大
    • 合併と買収
    • パートナーシップとコラボレーション
    • 製品/サービスの開始
    • その他
図表

List of Tables

  • Table 1 Global Smart Warehousing Market revenue estimates and forecast, by component, 2017 - 2030 (USD Million)
  • Table 2 Global Smart Warehousing Market revenue estimates and forecast, by deployment, 2017 - 2030 (USD Million)
  • Table 3 Global Smart Warehousing Market revenue estimates and forecast, by technology, 2017 - 2030 (USD Million)
  • Table 4 Global Smart Warehousing Market revenue estimates and forecast, by application, 2017 - 2030 (USD Million)
  • Table 5 Global Smart Warehousing Market revenue estimates and forecast, by warehouse size, 2017 - 2030 (USD Million)
  • Table 6 Global Smart Warehousing Market revenue estimates and forecast, by vertical, 2017 - 2030 (USD Million)
  • Table 7 Global Smart Warehousing Market revenue estimates and forecast, by region, 2017 - 2030 (USD Million)
  • Table 8 Participant's Overview
  • Table 9 Financial Performance
  • Table 10 Product Benchmarking
  • Table 11 Key companies undergoing expansion
  • Table 12 Key companies involved in mergers & acquisitions
  • Table 13 Key companies undertaking partnerships and collaboration
  • Table 14 Key companies launching new product/service launches 

List of Figures

  • Fig. 1 Smart Warehousing Market segmentation
  • Fig. 2 Information procurement
  • Fig. 3 Data analysis models
  • Fig. 4 Market formulation and validation
  • Fig. 5 Data validating & publishing
  • Fig. 6 Market snapshot
  • Fig. 7 Segment snapshot, by component and deployment
  • Fig. 8 Segment snapshot by technology and application
  • Fig. 9 Segment snapshot by warehouse size and vertical
  • Fig. 10 Competitive landscape snapshot
  • Fig. 11 Smart Warehousing Market value, 2017 - 2030 (USD Million)
  • Fig. 12 Smart Warehousing Market - Industry value chain analysis
  • Fig. 13 Smart Warehousing Market - Market trends
  • Fig. 14 Smart Warehousing Market: Porter's analysis
  • Fig. 15 Smart Warehousing Market: PESTEL analysis
  • Fig. 16 Smart Warehousing Market, by Component: Key takeaways
  • Fig. 17 Smart Warehousing Market, by Component: Market share, 2022 & 2030
  • Fig. 18 Hardware Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 19 Software Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 20 Services Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 21 Smart Warehousing Market, by Deployment: Key takeaways
  • Fig. 22 Smart Warehousing Market, by Deployment: Market share, 2022 & 2030
  • Fig. 23 Cloud Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 24 On-Premises Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 25 Smart Warehousing Market, by Technology: Key takeaways
  • Fig. 26 Smart Warehousing Market, by Technology: Market share, 2022 & 2030
  • Fig. 27 IoT Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 28 Robotics and Automation Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 29 AI and Analytics Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 30 Networking and Communication Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 31 AR and VR Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 32 Others Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 33 Smart Warehousing Market, by Application: Key takeaways
  • Fig. 34 Smart Warehousing Market, by Application: Market share, 2022 & 2030
  • Fig. 35 Inventory Management Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 36 Order Fulfillment Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 37 Asset Tracking Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 38 Predictive Analytics Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 39 Others Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 40 Smart Warehousing Market, by Warehouse Size: Key takeaways
  • Fig. 41 Smart Warehousing Market, by Warehouse Size: Market share, 2022 & 2030
  • Fig. 42 Small Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 43 Medium Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 44 Large Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 45 Smart Warehousing Market, by Vertical: Key takeaways
  • Fig. 46 Smart Warehousing Market, by Vertical: Market share, 2022 & 2030
  • Fig. 47 Transportation & Logistics Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 48 Retail & E-Commerce Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 49 Manufacturing Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 50 Healthcare Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 51 Energy & Utilities Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 52 Automotive Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 53 Food & Beverages Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 54 Others Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 55 Global Smart Warehousing Market revenue, by Region, 2022 & 2030, (USD Million)
  • Fig. 56 North America Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 57 U.S. Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 58 Canada Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 59 Europe Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 60 U.K. Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 61 Germany Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 62 France Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 63 Asia Pacific Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 64 China Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 65 India Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 66 Japan Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 67 South Korea Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 68 Australia Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 69 Latin America Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 70 Brazil Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 71 Mexico Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 72 Middle East & Africa Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 73 Kingdom of Saudi Arabia (KSA) Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 74 UAE Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 75 South Africa Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 76 Key company categorization
  • Fig. 77 Smart Warehousing Market - Key company market share analysis, 2022
  • Fig. 78 Strategic framework
目次
Product Code: GVR-4-68040-162-5

Smart Warehousing Market Growth & Trends:

The global smart warehousing market is anticipated to reach USD 57.97 billion by 2030, according to a new report by Grand View Research, Inc. The market is expected to grow at a CAGR of 14.2% from 2023 to 2030. The market growth is driven by increasing demand for automation and robotics solutions across various industries, the increasing online shopping, and rising focus on the green initiatives and sustainability to minimize waste. The rising focus on green initiatives and sustainability significantly influences the increasing use of smart warehouse solutions in warehouses. As businesses prioritize environmental responsibility, smart warehouse technologies contribute to minimizing waste and optimizing resource utilization.

Automation and digitization within smart warehouses lead to more efficient inventory management, reducing excess stock and minimizing the environmental impact of overproduction. Smart technologies enable precise demand forecasting and inventory optimization, aligning warehouse operations with actual consumption patterns to avoid unnecessary waste. Additionally, real-time monitoring and data analytics empower warehouses to identify inefficiencies, leading to more sustainable practices and reduced energy consumption. The implementation of autonomous vehicles and optimized routing further contributes to minimizing carbon footprints in the transportation of goods within smart warehouses. Overall, the integration of smart warehouse solutions aligns with broader sustainability goals, offering businesses the tools to operate more efficiently, reduce waste, and contribute to environmentally conscious practices in their supply chain operations.

Furthermore, the emergence of multi-channel distribution networks significantly influences the increasing adoption of smart warehouse solutions in the market. As businesses expand their reach across various channels, including online platforms, retail outlets, and direct-to-consumer models, the complexity of supply chain management grows. Smart warehouse solutions play a crucial role in streamlining operations within these multi-channel distribution networks by offering real-time visibility, inventory optimization, and efficient order fulfillment. These technologies enable seamless coordination and synchronization of inventory across diverse channels, ensuring accurate stock levels, reducing order processing times, and enhancing overall operational efficiency. The integration of smart warehouse solutions becomes imperative for businesses seeking to meet the dynamic demands of multi-channel distribution, providing a scalable and agile infrastructure to adapt to changing market trends and customer preferences.

Ultimately, the adoption of smart warehouse solutions is a strategic response to the evolving landscape of multi-channel distribution, offering businesses the tools to enhance visibility, responsiveness, and effectiveness in managing their supply chain across diverse sales channels.

The adoption of augmented reality (AR) and virtual reality (VR) technologies presents a significant opportunity for the market. AR and VR offer advanced visualization and interactive capabilities, allowing warehouse operators to optimize various aspects of their operations. AR technology can be utilized for enhanced order-picking processes, providing workers with real-time information and visual cues through smart glasses or headsets, leading to increased accuracy and efficiency. VR, on the other hand, can be employed for immersive training simulations, allowing warehouse staff to undergo realistic training scenarios without the need for physical setups. These technologies contribute to improved worker productivity, reduced errors, and enhanced training programs, ultimately optimizing warehouse operations. As the technology continues to mature, the integration of AR and VR in smart warehousing not only improves current processes but also unlocks innovative possibilities for creating more intelligent, responsive, and efficient warehouse environments.

The market is competitive and has the presence of several key market players. Some prominent players in the market include Honeywell International Inc., Siemens, Zebra Technologies Corporation, IBM Corporation, Oracle Corporation, SAP SE, KION Group AG, Cognex Corporation, ABB Ltd., Tecsys, Inc., Manhattan Associates, PSI Logistics, and Reply, among others. These players are adopting strategies such as new product launches to stay ahead of their competition. For instance, in September 2023, OMRON Corporation, a leader in factory automation and Industry 4.0 solutions, launched the MD-650 autonomous mobile robot (AMR) with a payload of 650 kg, expanding its lineup of autonomous robots for part and material transport applications. The MD-650 features unique control technology, ensuring safe and smooth transport in production sites where human-machine collaboration is prevalent, addressing the increasing demand for efficiency in heavy-material transport operations.

Smart Warehousing Market Report Highlights:

  • The hardware segment held the largest market share of 50.1% in 2022, owing to its foundational role in implementing advanced technologies, such as automated guided vehicles, robotic systems, and IoT-enabled devices, which contribute to significant labor savings and enable seamless connectivity for data-driven decision-making and optimization of warehouse processes.
  • The cloud deployment is expected to witness the fastest CAGR over the forecast period, due to its unparalleled scalability, cost-efficient subscription models, rapid deployment, remote accessibility, automatic updates, integration capabilities, and efficient data analytics, offering businesses an agile and connected ecosystem for optimized operations.
  • The robotics and automation segment dominated the market in 2022. The segment's growth is attributable to its role in significantly enhancing operational efficiency through task automation and process streamlining.
  • The order fulfillment segment held the largest market share of 33.9% in 2022, owing to the its role in optimizing processes, reducing errors, and ensuring swift and accurate product delivery through the integration of technologies such as real-time tracking, automation, and advanced analytics.
  • The large warehouse size segment held the largest market share in 2022, as the large warehouses are well-suited for smart warehousing due to the scalability and operational complexities that come with managing extensive inventories and high-volume order processing.
  • The retail & e-commerce segment registered the fastest CAGR of 15.4% over the forecast period. The segment's growth is attributable to rapid growth of online shopping and the need for prompt order fulfillment.
  • North America dominated the market and held a share of 31.8% in 2022, owing to the advanced technological infrastructure and a well-established logistics industry.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definitions
  • 1.3. Research Methodology
  • 1.4. Research Assumptions
  • 1.5. List of Data Sources
    • 1.5.1. Secondary Sources
    • 1.5.2. Primary Sources

Chapter 2. Executive Summary

  • 2.1. Market Snapshot
  • 2.2. Segmental Snapshot
  • 2.3. Competitive Landscape Snapshot

Chapter 3. Market Variables, Trends, & Scope Outlook

  • 3.1. Market Lineage Outlook
  • 3.2. Smart Warehousing Market Value Chain Analysis
  • 3.3. Smart Warehousing Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraint/Challenge Analysis
    • 3.3.3. Market Opportunity Analysis
  • 3.4. Industry Analysis - Porter's Five Forces Analysis
    • 3.4.1. Supplier Power
    • 3.4.2. Buyer Power
    • 3.4.3. Substitution Threat
    • 3.4.4. Threat of New Entrants
    • 3.4.5. Competitive Rivalry
  • 3.5. Smart Warehousing Market PESTEL Analysis
    • 3.5.1. Political Landscape
    • 3.5.2. Economic Landscape
    • 3.5.3. Social Landscape
    • 3.5.4. Technology Landscape
    • 3.5.5. Environmental Landscape
    • 3.5.6. Legal Landscape

Chapter 4. Smart Warehousing Market Component Outlook

  • 4.1. Smart Warehousing Market, By Component Analysis & Market Share, 2022 & 2030
  • 4.2. Hardware
    • 4.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 4.3. Software
    • 4.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 4.4. Services
    • 4.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)

Chapter 5. Smart Warehousing Market Deployment Outlook

  • 5.1. Smart Warehousing Market, By Deployment Analysis & Market Share, 2022 & 2030
  • 5.2. Cloud
    • 5.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 5.3. On-Premises
    • 5.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)

Chapter 6. Smart Warehousing Market Technology Outlook

  • 6.1. Smart Warehousing Market, By Technology Analysis & Market Share, 2022 & 2030
  • 6.2. IoT
    • 6.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 6.3. Robotics and Automation
    • 6.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 6.4. AI and Analytics
    • 6.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 6.5. Networking and Communication
    • 6.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 6.6. AR and VR
    • 6.6.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 6.7. Others
    • 6.7.1. Market estimates and forecasts, 2017 - 2030 (USD Million)

Chapter 7. Smart Warehousing Market Application Outlook

  • 7.1. Smart Warehousing Market, By Application Analysis & Market Share, 2022 & 2030
  • 7.2. Inventory Management
    • 7.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 7.3. Order Fulfillment
    • 7.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 7.4. Asset Tracking
    • 7.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 7.5. Predictive Analytics
    • 7.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 7.6. Others
    • 7.6.1. Market estimates and forecasts, 2017 - 2030 (USD Million)

Chapter 8. Smart Warehousing Market Warehouse Size Outlook

  • 8.1. Smart Warehousing Market, By Warehouse Size Analysis & Market Share, 2022 & 2030
  • 8.2. Small
    • 8.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 8.3. Medium
    • 8.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 8.4. Large
    • 8.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)

Chapter 9. Smart Warehousing Market Vertical Outlook

  • 9.1. Smart Warehousing Market, By Vertical Analysis & Market Share, 2022 & 2030
  • 9.2. Transportation & Logistics
    • 9.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 9.3. Retail & E-commerce
    • 9.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 9.4. Manufacturing
    • 9.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 9.5. Healthcare
    • 9.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 9.6. Energy & Utilities
    • 9.6.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 9.7. Automotive
    • 9.7.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 9.8. Food & Beverages
    • 9.8.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 9.9. Others
    • 9.9.1. Market estimates and forecasts, 2017 - 2030 (USD Million)

Chapter 10. Smart Warehousing Market: Regional Estimates & Trend Analysis

  • 10.1. Smart Warehousing Market Share by Region, 2022 & 2030
  • 10.2. North America
    • 10.2.1. Market estimates and forecasts, 2017 - 2030
    • 10.2.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 10.2.3. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
    • 10.2.4. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
    • 10.2.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 10.2.6. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
    • 10.2.7. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.2.8. U.S.
      • 10.2.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.2.8.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.2.8.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.2.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.2.8.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.2.8.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.2.9. Canada
      • 10.2.9.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.2.9.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.2.9.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.2.9.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.2.9.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.2.9.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
  • 10.3. Europe
    • 10.3.1. Market estimates and forecasts, 2017 - 2030
    • 10.3.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 10.3.3. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
    • 10.3.4. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
    • 10.3.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 10.3.6. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
    • 10.3.7. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.3.8. U.K.
      • 10.3.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.3.8.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.3.8.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.3.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.3.8.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.3.8.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.3.9. Germany
      • 10.3.9.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.3.9.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.3.9.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.3.9.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.3.9.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.3.9.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.3.10. France
      • 10.3.10.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.3.10.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.3.10.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.3.10.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.3.10.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.3.10.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
  • 10.4. Asia Pacific
    • 10.4.1. Market estimates and forecasts, 2017 - 2030
    • 10.4.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 10.4.3. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
    • 10.4.4. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
    • 10.4.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 10.4.6. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
    • 10.4.7. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.4.8. China
      • 10.4.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.4.8.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.4.8.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.4.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.4.8.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.4.8.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.4.9. India
      • 10.4.9.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.4.9.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.4.9.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.4.9.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.4.9.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.4.9.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.4.10. Japan
      • 10.4.10.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.4.10.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.4.10.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.4.10.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.4.10.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.4.10.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.4.11. South Korea
      • 10.4.11.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.4.11.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.4.11.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.4.11.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.4.11.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.4.11.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.4.12. Australia
      • 10.4.12.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.4.12.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.4.12.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.4.12.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.4.12.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.4.12.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
  • 10.5. Latin America
    • 10.5.1. Market estimates and forecasts, 2017 - 2030
    • 10.5.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 10.5.3. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
    • 10.5.4. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
    • 10.5.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 10.5.6. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
    • 10.5.7. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.5.8. Brazil
      • 10.5.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.5.8.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.5.8.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.5.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.5.8.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.5.8.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.5.9. Mexico
      • 10.5.9.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.5.9.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.5.9.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.5.9.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.5.9.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.5.9.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
  • 10.6. Middle East & Africa
    • 10.6.1. Market estimates and forecasts, 2017 - 2030
    • 10.6.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 10.6.3. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
    • 10.6.4. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
    • 10.6.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 10.6.6. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
    • 10.6.7. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.6.8. Kingdom of Saudi Arabia (KSA)
      • 10.6.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.6.8.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.6.8.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.6.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.6.8.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.6.8.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.6.9. UAE
      • 10.6.9.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.6.9.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.6.9.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.6.9.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.6.9.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.6.9.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.6.10. South Africa
      • 10.6.10.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.6.10.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.6.10.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.6.10.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.6.10.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.6.10.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)

Chapter 11. Smart Warehousing Market Competitive Landscape

  • 11.1. Key Market Participants
    • 11.1.1. Honeywell International Inc.
    • 11.1.2. Siemens
    • 11.1.3. Zebra Technologies Corporation
    • 11.1.4. IBM Corporation
    • 11.1.5. Oracle Corporation
    • 11.1.6. SAP SE
    • 11.1.7. KION Group AG
    • 11.1.8. Cognex Corporation
    • 11.1.9. ABB Ltd.
    • 11.1.10. Tecsys, Inc.
    • 11.1.11. Manhattan Associates
    • 11.1.12. PSI Logistics
    • 11.1.13. Reply
  • 11.2. Key Company Market Share Analysis, 2022
  • 11.3. Company Categorization/Position Analysis, 2022
  • 11.4. Strategic Mapping
    • 11.4.1. Expansion
    • 11.4.2. Mergers & Acquisition
    • 11.4.3. Partnerships & Collaborations
    • 11.4.4. Product/service launch
    • 11.4.5. Others