自動オーダーピッキング市場：オーダーピッキングタイプ別、用途別-2025～2030年の世界予測

自動オーダーピッキング市場の2023年の市場規模は89億米ドル、2024年には99億1,000万米ドルに達すると予測され、CAGR 11.74％で成長し、2030年には193億7,000万米ドルに達すると予測されています。

自動オーダーピッキング（AOP）技術は、現代のサプライチェーンオペレーションに不可欠なコンポーネントであり、オーダー処理プロセスのスピード、正確性、効率性を高めることを目的としています。これらのシステムには、ロボット工学、機械学習、人工知能が組み込まれており、倉庫内での商品の選択と検索を自動化し、人件費とオーダー処理時間を大幅に削減します。AOPの必要性は、顧客の期待に応えるために高速処理が要求されるeコマースの急成長に後押しされています。特に、ロボットアーム、無人搬送車（AGV）、自律移動ロボット（AMR）などの技術を採用したアプリケーションは、小売、物流、消費財、自動車部門に及んでいます。主要成長要因としては、迅速な配送サービスに対する需要の急増、ロボット工学の技術進歩、オムニチャネル小売戦略への継続的なシフトなどが挙げられます。その結果、中小企業向けのスケーラブルなソリューションの開発や、モノのインターネット（IoT）センサーを統合してオペレーションの透明性を高めることに潜在的な機会があります。しかし、初期導入コストの高さ、統合の複雑さ、サイバーセキュリティの脅威といった制約が、普及への課題となっています。革新的なセグメントとしては、費用対効果の高いモジュール型システムの開発、リアルタイムの意思決定のための機械学習アルゴリズムの強化、人間とともに働く協働ロボットの設計改善などが挙げられます。自動化システム用のエネルギー効率の高い電源の調査や、予測分析のためのAIの進歩も成長を促進する可能性があります。AOP市場は、急速な技術進歩と競争圧力によって特徴付けられ、イノベーションのための肥沃な土壌となっているが、研究開発への多額の投資が必要なため課題も多いです。企業はハイテク企業との提携を重視して最先端のソリューションを活用し、特定の顧客ニーズに対応するカスタム・インテグレーションサービスを模索することで、このダイナミックな情勢の中で競合を維持することができます。

市場力学：急速に進化する自動オーダーピッキング市場の主要市場洞察を公開

自動オーダーピッキング市場は、需要と供給のダイナミックな相互作用によって変貌を遂げています。このような市場力学の進化を理解することで、企業は十分な情報に基づいた投資決定、戦略的決定の精緻化、そして新たなビジネス機会の獲得に備えることができます。これらの動向を包括的に把握することで、企業は政治的、地理的、技術的、社会的、経済的な領域にわたる様々なリスクを軽減することができ、また、消費者行動とそれが製造コストや購買動向に与える影響をより明確に理解することができます。

• 市場促進要因
  • eコマースセグメントの大幅な拡大
  • 生産性の向上と人的ミスの削減を目的とした採用の増加
  • 中小企業による自動ピッキングロボットの採用
• 市場抑制要因
  • 自動化手順のコストが高い
• 市場機会
  • 産業セグメントの自動化に対する政府の取り組み
  • 自動オーダーピッキングソリューションの進歩
• 市場課題
  • 熟練した専門家の不足と複雑な取り扱い手順

ポーターのファイブフォース：自動オーダーピッキング市場をナビゲートする戦略ツール

ポーターのファイブフォースフレームワークは、自動オーダーピッキング市場の競合情勢を理解するための重要なツールです。ポーターのファイブフォースフレームワークは、企業の競合を評価し、戦略的機会を探るための明確な手法を記載しています。このフレームワークは、企業が市場内の勢力図を評価し、新規事業の収益性を判断するのに役立ちます。これら洞察により、企業は自社の強みを活かし、弱みに対処し、潜在的な課題を回避することができ、より強靭な市場でのポジショニングを確保することができます。

PESTLE分析：自動オーダーピッキング市場における外部からの影響の把握

外部マクロ環境要因は、自動オーダーピッキング市場の業績力学を形成する上で極めて重要な役割を果たします。政治的、経済的、社会的、技術的、法的、環境的要因の分析は、これらの影響をナビゲートするために必要な情報を記載しています。PESTLE要因を調査することで、企業は潜在的なリスクと機会をよりよく理解することができます。この分析により、企業は規制、消費者の嗜好、経済動向の変化を予測し、先を見越した積極的な意思決定を行う準備ができます。

市場シェア分析：自動オーダーピッキング市場における競合情勢の把握

自動オーダーピッキング市場の詳細な市場シェア分析により、ベンダーの業績を包括的に評価することができます。企業は、収益、顧客ベース、成長率などの主要指標を比較することで、競争上のポジショニングを明らかにすることができます。この分析により、市場の集中、セグメント化、統合の動向が明らかになり、ベンダーは競争が激化する中で自社の地位を高める戦略的意思決定を行うために必要な知見を得ることができます。

FPNVポジショニングマトリックス：自動オーダーピッキング市場におけるベンダーのパフォーマンス評価

FPNVポジショニングマトリックスは、自動オーダーピッキング市場においてベンダーを評価するための重要なツールです。このマトリックスにより、ビジネス組織はベンダーのビジネス戦略と製品満足度に基づき評価することで、目標に沿った十分な情報に基づいた意思決定を行うことができます。4つの象限によってベンダーを明確かつ正確にセグメント化し、戦略目標に最適なパートナーやソリューションを特定することができます。

戦略分析と推奨：自動オーダーピッキング市場における成功への道筋を描く

自動オーダーピッキング市場の戦略分析は、世界市場でのプレゼンス強化を目指す企業にとって不可欠です。主要なリソース、能力、業績指標を見直すことで、企業は成長機会を特定し、改善に取り組むことができます。このアプローチにより、競合情勢における課題を克服し、新たなビジネス機会を活かして長期的な成功を収めるための体制を整えることができます。

本レポートでは、主要な注目セグメントを網羅した市場の包括的な分析を提供しています。

1.市場の浸透度：現在の市場環境の詳細なレビュー、主要企業による広範なデータ、市場でのリーチと全体的な影響力を評価します。

2.市場の開拓度：新興市場における成長機会を特定し、既存セグメントにおける拡大可能性を評価し、将来の成長に向けた戦略的ロードマップを記載しています。

3.市場の多様化：最近の製品発売、未開拓の地域、産業の主要な進歩、市場を形成する戦略的投資を分析します。

4.競合の評価と情報：競合情勢を徹底的に分析し、市場シェア、事業戦略、製品ポートフォリオ、認証、規制当局の承認、特許動向、主要企業の技術進歩などを検証します。

5.製品開発とイノベーション：将来の市場成長を促進すると期待される最先端技術、研究開発活動、製品イノベーションをハイライトしています。

また、利害関係者が十分な情報を得た上で意思決定できるよう、重要な質問にも答えています。

1.現在の市場規模と今後の成長予測は？

2.最高の投資機会を提供する製品、地域はどこか？

3.市場を形成する主要技術動向と規制の影響とは？

4.主要ベンダーの市場シェアと競合ポジションは？

5.ベンダーの市場参入・撤退戦略の原動力となる収益源と戦略的機会は何か？

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • eコマースセグメントの大幅な拡大
    • 生産性の向上と人的ミスの削減のために導入を拡大
    • 中小企業における自動ピッキングロボットの導入
  • 抑制要因
    • 自動化手順の高コスト
  • 機会
    • 産業セグメントの自動化に向けた政府の取り組み
    • 自動オーダーピッキングソリューションの進歩
  • 課題
    • 熟練した専門家の不足と複雑な取り扱い手順
• 市場セグメンテーション分析
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治
  • 経済
  • 社会
  • 技術
  • 法律
  • 環境

第6章 自動オーダーピッキング市場：オーダーピッキングタイプ別

• イントロダクション
• クラスターピッキング
• 個別ピッキング
• 複数オーダーまたはバッチピッキング
• ウェーブピッキング
• ゾーンピッキング

第7章 自動オーダーピッキング市場：用途別

• イントロダクション
• 建設
• 医療
• 製造業
• 小売
• 運輸・物流

第8章 南北アメリカの自動オーダーピッキング市場

• イントロダクション
• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第9章 アジア太平洋の自動オーダーピッキング市場

• イントロダクション
• オーストラリア
• 中国
• インド
• インドネシア
• 日本
• マレーシア
• フィリピン
• シンガポール
• 韓国
• 台湾
• タイ
• ベトナム

第10章 欧州・中東・アフリカの自動オーダーピッキング市場

• イントロダクション
• デンマーク
• エジプト
• フィンランド
• フランス
• ドイツ
• イスラエル
• イタリア
• オランダ
• ナイジェリア
• ノルウェー
• ポーランド
• カタール
• ロシア
• サウジアラビア
• 南アフリカ
• スペイン
• スウェーデン
• スイス
• トルコ
• アラブ首長国連邦
• 英国

第11章 競合情勢

• 市場シェア分析、2023年
• FPNVポジショニングマトリックス、2023年
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

• Aeologic Technologies
• Barcodes, Inc.
• Breathe Technologies Ltd.
• Dematic Holding S.a r.l.
• Falcon Autotech
• FANUC CORPORATION
• Honeywell International Inc.
• Hopstack, Inc.
• Kardex Holding AG
• Kawasaki Heavy Industries, Ltd.
• Keymas Limited
• KNAPP AG
• KUKA AG
• Mara Labs Inc.
• Mecalux, S.A.
• MMCI Automation
• Ocado Group
• Plus One Robotics Inc.
• QC Software, LLC
• Righthand Robotics Inc.
• SSI Schaefer Systems Int. Ltd.
• Toyota Industries Corporation
• Universal Robots A/S by Teradyne, Inc.
• Vecna Robotics, Inc.
• XYZ Robotics Inc.
• Yaskawa America, Inc.

LIST OF FIGURES

• FIGURE 1. AUTOMATED ORDER PICKING MARKET RESEARCH PROCESS
• FIGURE 2. AUTOMATED ORDER PICKING MARKET SIZE, 2023 VS 2030
• FIGURE 3. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 4. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 5. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 6. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2023 VS 2030 (%)
• FIGURE 7. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
• FIGURE 9. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 10. AMERICAS AUTOMATED ORDER PICKING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 11. AMERICAS AUTOMATED ORDER PICKING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 12. UNITED STATES AUTOMATED ORDER PICKING MARKET SIZE, BY STATE, 2023 VS 2030 (%)
• FIGURE 13. UNITED STATES AUTOMATED ORDER PICKING MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 14. ASIA-PACIFIC AUTOMATED ORDER PICKING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 15. ASIA-PACIFIC AUTOMATED ORDER PICKING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 16. EUROPE, MIDDLE EAST & AFRICA AUTOMATED ORDER PICKING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 17. EUROPE, MIDDLE EAST & AFRICA AUTOMATED ORDER PICKING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 18. AUTOMATED ORDER PICKING MARKET SHARE, BY KEY PLAYER, 2023
• FIGURE 19. AUTOMATED ORDER PICKING MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

• TABLE 1. AUTOMATED ORDER PICKING MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. AUTOMATED ORDER PICKING MARKET DYNAMICS
• TABLE 7. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY CLUSTER PICKING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY DISCRETE PICKING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY MULTI-ORDER OR BATCH PICKING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY WAVE PICKING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY ZONE PICKING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY CONSTRUCTION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY RETAIL, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. AMERICAS AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 20. AMERICAS AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 21. AMERICAS AUTOMATED ORDER PICKING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 22. ARGENTINA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 23. ARGENTINA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 24. BRAZIL AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 25. BRAZIL AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 26. CANADA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 27. CANADA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 28. MEXICO AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 29. MEXICO AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 30. UNITED STATES AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 31. UNITED STATES AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 32. UNITED STATES AUTOMATED ORDER PICKING MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 33. ASIA-PACIFIC AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 34. ASIA-PACIFIC AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 35. ASIA-PACIFIC AUTOMATED ORDER PICKING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 36. AUSTRALIA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 37. AUSTRALIA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 38. CHINA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 39. CHINA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 40. INDIA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 41. INDIA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 42. INDONESIA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 43. INDONESIA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 44. JAPAN AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 45. JAPAN AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 46. MALAYSIA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 47. MALAYSIA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 48. PHILIPPINES AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 49. PHILIPPINES AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 50. SINGAPORE AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 51. SINGAPORE AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 52. SOUTH KOREA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 53. SOUTH KOREA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 54. TAIWAN AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 55. TAIWAN AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 56. THAILAND AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 57. THAILAND AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 58. VIETNAM AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 59. VIETNAM AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 60. EUROPE, MIDDLE EAST & AFRICA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 61. EUROPE, MIDDLE EAST & AFRICA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 62. EUROPE, MIDDLE EAST & AFRICA AUTOMATED ORDER PICKING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 63. DENMARK AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 64. DENMARK AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 65. EGYPT AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 66. EGYPT AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 67. FINLAND AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 68. FINLAND AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 69. FRANCE AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 70. FRANCE AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 71. GERMANY AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 72. GERMANY AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 73. ISRAEL AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 74. ISRAEL AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 75. ITALY AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 76. ITALY AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 77. NETHERLANDS AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 78. NETHERLANDS AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 79. NIGERIA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 80. NIGERIA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 81. NORWAY AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 82. NORWAY AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 83. POLAND AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 84. POLAND AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 85. QATAR AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 86. QATAR AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 87. RUSSIA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 88. RUSSIA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 89. SAUDI ARABIA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 90. SAUDI ARABIA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 91. SOUTH AFRICA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 92. SOUTH AFRICA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 93. SPAIN AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 94. SPAIN AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 95. SWEDEN AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 96. SWEDEN AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 97. SWITZERLAND AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 98. SWITZERLAND AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 99. TURKEY AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 100. TURKEY AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 101. UNITED ARAB EMIRATES AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 102. UNITED ARAB EMIRATES AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 103. UNITED KINGDOM AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
• TABLE 104. UNITED KINGDOM AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 105. AUTOMATED ORDER PICKING MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 106. AUTOMATED ORDER PICKING MARKET, FPNV POSITIONING MATRIX, 2023

The Automated Order Picking Market was valued at USD 8.90 billion in 2023, expected to reach USD 9.91 billion in 2024, and is projected to grow at a CAGR of 11.74%, to USD 19.37 billion by 2030.

Automated Order Picking (AOP) technologies are essential components of modern supply chain operations, aimed at enhancing speed, accuracy, and efficiency in order fulfillment processes. These systems incorporate robotics, machine learning, and artificial intelligence to automate the selection and retrieval of products within warehouses, significantly reducing labor costs and order processing times. The necessity for AOP is driven by the rapid growth of e-commerce, which demands high-speed processing to meet customer expectations. In particular, applications span across retail, logistics, consumer goods, and automotive sectors, employing technologies like robotic arms, automated guided vehicles (AGVs), and autonomous mobile robots (AMRs). Key growth influencers include the burgeoning demand for swift delivery services, technological progressions in robotics, and the continuing shift towards omnichannel retail strategies. As a result, there are potential opportunities in developing scalable solutions for small and medium enterprises and integrating Internet of Things (IoT) sensors for enhanced operational transparency. However, limitations such as high initial implementation costs, integration complexities, and cybersecurity threats pose challenges to widespread adoption. Innovation areas include developing cost-effective modular systems, enhancing machine learning algorithms for real-time decision-making, and improving collaborative robot designs to work alongside humans. Research into energy-efficient power supplies for automated systems and advancements in AI for predictive analytics could also catalyze growth. The AOP market is characterized by rapid technological advancements and competitive pressures, making it a fertile ground for innovations but also challenging due to the need for significant investments in R&D. Enterprises should focus on alliances with tech firms to leverage cutting-edge solutions and explore custom integration services to address specific client needs, ensuring they remain competitive in this dynamic landscape.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Automated Order Picking Market

The Automated Order Picking Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Significant expansion of e-commerce sectors
  • Increasing adoption to improve productivity and reduce human errors
  • Adoption of automated picking robots by small and medium-sized enterprises
• Market Restraints
  • High cost of automation procedures
• Market Opportunities
  • Governmental initiatives for automation of industrial sectors
  • Advancements in automated order picking solutions
• Market Challenges
  • Scarcity of skilled professional and complex handling procedures

Porter's Five Forces: A Strategic Tool for Navigating the Automated Order Picking Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Automated Order Picking Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Automated Order Picking Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Automated Order Picking Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Automated Order Picking Market

A detailed market share analysis in the Automated Order Picking Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Automated Order Picking Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Automated Order Picking Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Automated Order Picking Market

A strategic analysis of the Automated Order Picking Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Automated Order Picking Market, highlighting leading vendors and their innovative profiles. These include Aeologic Technologies, Barcodes, Inc., Breathe Technologies Ltd., Dematic Holding S.a r.l., Falcon Autotech, FANUC CORPORATION, Honeywell International Inc., Hopstack, Inc., Kardex Holding AG, Kawasaki Heavy Industries, Ltd., Keymas Limited, KNAPP AG, KUKA AG, Mara Labs Inc., Mecalux, S.A., MMCI Automation, Ocado Group, Plus One Robotics Inc., QC Software, LLC, Righthand Robotics Inc., SSI Schaefer Systems Int. Ltd., Toyota Industries Corporation, Universal Robots A/S by Teradyne, Inc., Vecna Robotics, Inc., XYZ Robotics Inc., and Yaskawa America, Inc..

Market Segmentation & Coverage

This research report categorizes the Automated Order Picking Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Order Picking Type, market is studied across Cluster Picking, Discrete Picking, Multi-Order or Batch Picking, Wave Picking, and Zone Picking.
• Based on Application, market is studied across Construction, Healthcare, Manufacturing, Retail, and Transportation & Logistics.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Significant expansion of e-commerce sectors
    • 5.1.1.2. Increasing adoption to improve productivity and reduce human errors
    • 5.1.1.3. Adoption of automated picking robots by small and medium-sized enterprises
  • 5.1.2. Restraints
    • 5.1.2.1. High cost of automation procedures
  • 5.1.3. Opportunities
    • 5.1.3.1. Governmental initiatives for automation of industrial sectors
    • 5.1.3.2. Advancements in automated order picking solutions
  • 5.1.4. Challenges
    • 5.1.4.1. Scarcity of skilled professional and complex handling procedures
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Automated Order Picking Market, by Order Picking Type

• 6.1. Introduction
• 6.2. Cluster Picking
• 6.3. Discrete Picking
• 6.4. Multi-Order or Batch Picking
• 6.5. Wave Picking
• 6.6. Zone Picking

7. Automated Order Picking Market, by Application

• 7.1. Introduction
• 7.2. Construction
• 7.3. Healthcare
• 7.4. Manufacturing
• 7.5. Retail
• 7.6. Transportation & Logistics

8. Americas Automated Order Picking Market

• 8.1. Introduction
• 8.2. Argentina
• 8.3. Brazil
• 8.4. Canada
• 8.5. Mexico
• 8.6. United States

9. Asia-Pacific Automated Order Picking Market

• 9.1. Introduction
• 9.2. Australia
• 9.3. China
• 9.4. India
• 9.5. Indonesia
• 9.6. Japan
• 9.7. Malaysia
• 9.8. Philippines
• 9.9. Singapore
• 9.10. South Korea
• 9.11. Taiwan
• 9.12. Thailand
• 9.13. Vietnam

10. Europe, Middle East & Africa Automated Order Picking Market

• 10.1. Introduction
• 10.2. Denmark
• 10.3. Egypt
• 10.4. Finland
• 10.5. France
• 10.6. Germany
• 10.7. Israel
• 10.8. Italy
• 10.9. Netherlands
• 10.10. Nigeria
• 10.11. Norway
• 10.12. Poland
• 10.13. Qatar
• 10.14. Russia
• 10.15. Saudi Arabia
• 10.16. South Africa
• 10.17. Spain
• 10.18. Sweden
• 10.19. Switzerland
• 10.20. Turkey
• 10.21. United Arab Emirates
• 10.22. United Kingdom

11. Competitive Landscape

• 11.1. Market Share Analysis, 2023
• 11.2. FPNV Positioning Matrix, 2023
• 11.3. Competitive Scenario Analysis
• 11.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Aeologic Technologies
• 2. Barcodes, Inc.
• 3. Breathe Technologies Ltd.
• 4. Dematic Holding S.a r.l.
• 5. Falcon Autotech
• 6. FANUC CORPORATION
• 7. Honeywell International Inc.
• 8. Hopstack, Inc.
• 9. Kardex Holding AG
• 10. Kawasaki Heavy Industries, Ltd.
• 11. Keymas Limited
• 12. KNAPP AG
• 13. KUKA AG
• 14. Mara Labs Inc.
• 15. Mecalux, S.A.
• 16. MMCI Automation
• 17. Ocado Group
• 18. Plus One Robotics Inc.
• 19. QC Software, LLC
• 20. Righthand Robotics Inc.
• 21. SSI Schaefer Systems Int. Ltd.
• 22. Toyota Industries Corporation
• 23. Universal Robots A/S by Teradyne, Inc.
• 24. Vecna Robotics, Inc.
• 25. XYZ Robotics Inc.
• 26. Yaskawa America, Inc.