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AIを活用した予知保全システムの世界市場、コンポーネント別、展開別、技術別、用途別、地域別、機会、予測、2018年～2032年

Global AI-Powered Predictive Maintenance Systems Market Assessment, By Component, By Deployment, By Technology By Application, By Region, Opportunities and Forecast, 2018-2032F

出版日
ページ情報
英文 223 Pages
納期
3～5営業日
カスタマイズ可能
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=151.79円
AIを活用した予知保全システムの世界市場、コンポーネント別、展開別、技術別、用途別、地域別、機会、予測、2018年～2032年
出版日: 2025年07月31日
発行: Markets & Data
ページ情報: 英文 223 Pages
納期: 3～5営業日
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  • 概要
  • 図表
  • 目次
概要

AIを活用した予知保全システムの世界市場は、予測期間中の2025年から2032年のCAGRが10.14％となり、2024年の8億6,613万米ドルから2032年には18億7,561万米ドルに成長すると予測されます。AIを活用した予知保全システムの世界市場は、ダウンタイムを緩和し、よりスマートな計画的保全を可能にするリアルタイムモニタリングの需要により大きく成長しています。予知保全システムは、人工知能を活用して潜在的な故障を早期に発見し、効率を高めてコストを削減し、産業界を積極的な資産管理へと移行させます。

産業界が機器の故障を未然に防ぎ、商品を安価に生産できるように努めている中、人工知能を活用した予知保全システムの世界市場は、刺激的な成長を遂げています。予知保全システムは、指定された期間内（通常は履歴）の新規設備と既存設備の両方からデータを分析できる革新的な技術を利用しています。これらのシステムは、懸念事項や故障を事前に予測し、故障が発生する直前にメンテナンスを完了できるようにすることで、コストのかかる故障を回避し、効率的なメンテナンスを可能にすることを目的としています。製造業、物流、製薬、不動産、病院など、さまざまな業界で、予知保全システムが採用され、無言のオペレーションを促進し、組織内の安全性を向上させています。さらに、継続的なデジタルトランスフォーメーションの推進は、運用の持続可能性と信頼性の保証が一連の洗練された機器に依存していることを示すシグナルが高まっていることに拍車をかけています。予知保全システムの進歩は、将来の技術主導型オペレーションの準備態勢の先陣を切る重要なプロセスと機能として形成され続けています。

例えば、2024年9月、Siemens AGはMerck KGaAと提携し、スマートマニュファクチャリングをさらに発展させました。これは、AIを活用した新技術によって実現されました。彼らの仕事の主な目的は、予知保全を推進し、産業環境におけるオペレーションのデジタル最適化を実施することです。

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 米国の関税の影響

第4章 エグゼクティブサマリー

第5章 顧客の声

  • 回答者の人口統計
  • ブランド認知度
  • 購入決定時に考慮される要素
  • 購入後に直面する課題

第6章 AIを活用した予知保全システム市場の展望（2018年～2032年）

  • 市場規模分析と予測
    • 金額別
  • 市場シェア分析と予測
    • コンポーネント別
      • ハードウェア
      • ソフトウェア
      • サービス
    • 展開別
      • オンプレミス
      • クラウド
      • ハイブリッド
    • 技術別
      • 機械学習
      • ディープラーニング
      • 自然言語処理
      • コンピュータービジョン
      • エッジAI
    • 用途別
      • 状態監視
      • 障害検出と診断
      • 資産パフォーマンス管理
      • エネルギー消費の最適化
      • その他
    • 地域別
      • 北米
      • 欧州
      • アジア太平洋
      • 南米
      • 中東・アフリカ
    • 企業別市場シェア分析（上位5社とその他-金額別、2024年）
  • 市場マップ分析、2024年
    • コンポーネント別
    • 展開別
    • 技術別
    • 用途別
    • 地域別

第7章 北米のAIを活用した予知保全システム市場の展望、2018年～2032年

  • 市場規模分析と予測
    • 金額別
  • 市場シェア分析と予測
    • コンポーネント別
      • ハードウェア
      • ソフトウェア
      • サービス
    • 展開別
      • オンプレミス
      • クラウド
      • ハイブリッド
    • 技術別
      • 機械学習
      • ディープラーニング
      • 自然言語処理
      • コンピュータービジョン
      • エッジAI
    • 用途別
      • 状態監視
      • 障害検出と診断
      • 資産パフォーマンス管理
      • エネルギー消費の最適化
      • その他
    • 国別
      • 米国
      • カナダ
      • メキシコ
  • 国別市場評価
    • 米国のAIを活用した予知保全システム市場の展望（2018年～2032年）
      • 市場規模分析と予測
      • 市場シェア分析と予測

すべてのセグメントは、対象となるすべての地域と国に提供されます。

第8章 欧州のAIを活用した予知保全システム市場の展望、2018年～2032年

  • ドイツ
  • フランス
  • イタリア
  • 英国
  • ロシア
  • オランダ
  • スペイン
  • トルコ
  • ポーランド

第9章 アジア太平洋のAIを活用した予知保全システム市場の展望、2018年～2032年

  • インド
  • 中国
  • 日本
  • オーストラリア
  • ベトナム
  • 韓国
  • インドネシア
  • フィリピン

第10章 南米のAIを活用した予知保全システム市場の展望、2018年～2032年

  • ブラジル
  • アルゼンチン

第11章 中東・アフリカのAIを活用した予知保全システム市場の展望、2018年～2032年

  • サウジアラビア
  • アラブ首長国連邦
  • 南アフリカ

第12章 ポーターのファイブフォース分析

第13章 PESTLE分析

第14章 市場力学

  • 市場促進要因
  • 市場の課題

第15章 市場動向と発展

第16章 ケーススタディ

第17章 競合情勢

  • 市場リーダー上位5社の競合マトリックス
  • 上位5企業のSWOT分析
  • 市場上位10の主要企業の情勢
    • C3.ai
      • 会社概要
      • 主要経営陣
      • 提供される主な製品/サービス
      • 主要財務状況（報告時点）
      • 主要市場への注力と地理的プレゼンス
      • 最近の動向/コラボレーション/パートナーシップ/合併と買収
    • IBM Corporation
    • Microsoft Corporation
    • SAP SE
    • Siemens AG
    • General Electric Company
    • PTC Inc.
    • Schneider Electric SE
    • ABB Ltd.
    • Rockwell Automation Inc.

上記の企業は市場シェアに応じて注文を保留するものではなく、調査作業中に入手可能な情報に応じて変更される可能性があります。

第18章 戦略的提言

第19章 調査会社について・免責事項

図表

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. Global AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 2. Global AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 3. Global AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 4. Global AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 5. Global AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 6. Global AI-Powered Predictive Maintenance Systems Market Share (%), By Region, 2018-2032F
  • Figure 7. North America AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 8. North America AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 9. North America AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 10. North America AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 11. North America AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 12. North America AI-Powered Predictive Maintenance Systems Market Share (%), By Country, 2018-2032F
  • Figure 13. United States AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 14. United States AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 15. United States AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 16. United States AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 17. United States AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 18. Canada AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 19. Canada AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 20. Canada AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 21. Canada AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 22. Canada AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 23. Mexico AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 24. Mexico AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 25. Mexico AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 26. Mexico AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 27. Mexico AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 28. Europe AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 29. Europe AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 30. Europe AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 31. Europe AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 32. Europe AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 33. Europe AI-Powered Predictive Maintenance Systems Market Share (%), By Country, 2018-2032F
  • Figure 34. Germany AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 35. Germany AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 36. Germany AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 37. Germany AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 38. Germany AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 39. France AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 40. France AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 41. France AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 42. France AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 43. France AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 44. Italy AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 45. Italy AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 46. Italy AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 47. Italy AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 48. Italy AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 49. United Kingdom AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 50. United Kingdom AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 51. United Kingdom AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 52. United Kingdom AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 53. United Kingdom AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 54. Russia AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 55. Russia AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 56. Russia AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 57. Russia AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 58. Russia AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 59. Netherlands AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 60. Netherlands AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 61. Netherlands AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 62. Netherlands AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 63. Netherlands AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 64. Spain AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 65. Spain AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 66. Spain AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 67. Spain AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 68. Spain AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 69. Turkey AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 70. Turkey AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 71. Turkey AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 72. Turkey AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 73. Turkey AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 74. Poland AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 75. Poland AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 76. Poland AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 77. Poland AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 78. Poland AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 79. South America AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 80. South America AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 81. South America AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 82. South America AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 83. South America AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 84. South America AI-Powered Predictive Maintenance Systems Market Share (%), By Country, 2018-2032F
  • Figure 85. Brazil AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 86. Brazil AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 87. Brazil AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 88. Brazil AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 89. Brazil AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 90. Argentina AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 91. Argentina AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 92. Argentina AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 93. Argentina AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 94. Argentina AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 95. Asia-Pacific AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 96. Asia-Pacific AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 97. Asia-Pacific AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 98. Asia-Pacific AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 99. Asia-Pacific AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 100. Asia-Pacific AI-Powered Predictive Maintenance Systems Market Share (%), By Country, 2018-2032F
  • Figure 101. India AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 102. India AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 103. India AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 104. India AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 105. India AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 106. China AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 107. China AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 108. China AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 109. China AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 110. China AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 111. Japan AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 112. Japan AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 113. Japan AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 114. Japan AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 115. Japan AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 116. Australia AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 117. Australia AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 118. Australia AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 119. Australia AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 120. Australia AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 121. Vietnam AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 122. Vietnam AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 123. Vietnam AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 124. Vietnam AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 125. Vietnam AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 126. South Korea AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 127. South Korea AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 128. South Korea AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 129. South Korea AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 130. South Korea AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 131. Indonesia AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 132. Indonesia AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 133. Indonesia AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 134. Indonesia AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 135. Indonesia AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 136. Philippines AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 137. Philippines AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 138. Philippines AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 139. Philippines AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 140. Philippines AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 141. Middle East & Africa AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 142. Middle East & Africa AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 143. Middle East & Africa AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 144. Middle East & Africa AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 145. Middle East & Africa AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 146. Middle East & Africa AI-Powered Predictive Maintenance Systems Market Share (%), By Country, 2018-2032F
  • Figure 147. Saudi Arabia AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 148. Saudi Arabia AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 149. Saudi Arabia AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 150. Saudi Arabia AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 151. Saudi Arabia AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 152. UAE AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 153. UAE AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 154. UAE AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 155. UAE AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 156. UAE AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 157. South Africa AI-Powered Predictive Maintenance Systems Market, By Value, In USD Million, 2018-2032F
  • Figure 158. South Africa AI-Powered Predictive Maintenance Systems Market Share (%), By Component, 2018-2032F
  • Figure 159. South Africa AI-Powered Predictive Maintenance Systems Market Share (%), By Deployment, 2018-2032F
  • Figure 160. South Africa AI-Powered Predictive Maintenance Systems Market Share (%), By Technology, 2018-2032F
  • Figure 161. South Africa AI-Powered Predictive Maintenance Systems Market Share (%), By Application, 2018-2032F
  • Figure 162. By Component Map-Market Size (USD Million) & Growth Rate (%), 2024
  • Figure 163. By Deployment Map-Market Size (USD Million) & Growth Rate (%), 2024
  • Figure 164. By Technology Map-Market Size (USD Million) & Growth Rate (%), 2024
  • Figure 165. By Application Map-Market Size (USD Million) & Growth Rate (%), 2024
  • Figure 166. By Region Map-Market Size (USD Million) & Growth Rate (%), 2024
目次
Product Code: MX13804

Global AI-powered predictive maintenance systems market is projected to witness a CAGR of 10.14% during the forecast period 2025-2032, growing from USD 866.13 million in 2024 to USD 1875.61 million in 2032. The global AI-powered predictive maintenance systems market is growing significantly due to the demand for real-time monitoring that mitigates downtime and enables smarter, planned maintenance. Predictive Maintenance Systems utilize artificial intelligence to early-detect potential failures, enhance efficiency, reduce costs, and transition industries to proactive asset management.

As industries strive to prevent equipment failure before it causes a rupture, allowing them to produce goods affordably, the global market for predictive maintenance systems powered by artificial intelligence is experiencing tantalizing growth. Predictive maintenance systems utilize innovative technologies that can analyze data from both new and existing equipment within a specified period (typically historical). These systems aim to predict concerns and faults in advance, allowing for maintenance to be completed just before they occur, thereby avoiding costly breakdowns and enabling efficient maintenance. Industries, across the spectrum such as manufacturing, logistics, pharmaceuticals, real estate and hospitals have embraced predictive maintenance systems to facilitate talk-free operations and improve safety within their organizations. Furthermore, the push for continued digital transformation adds fuel to the growing smoke signal that operational sustainability and reliability assurance rely on a set of sophisticated equipment. The advancement of predictive maintenance systems continues to mold itself into a crucial process and function that will spearhead the readiness of future technology-driven operations.

For instance, in September 2024, Siemens AG partnered with Merck KGaA to further develop smart manufacturing. This was achieved through their new AI-powered technologies. The primary objectives of their work are to drive predictive maintenance and implement digital optimization of operations in industrial environments.

Growing Demand for Smart Asset Monitoring Propels Market Growth

Many industries are embracing predictive maintenance tools because they need to improve their real-time monitoring of equipment. These AI systems provide predictive failure alerts early, analyzing sensor data and machine behavior to give companies visibility into potential problems before they become too disruptive. Organizations can prevent sudden breakdowns or other disruptions that impact factory productivity. They can also better budget for service and maintenance activities. This implies lower costs, with less disturbance to production, and a greater life expectancy of their equipment. Accurate projections of asset health will continue to have growing demand and greater adoption, especially for organizations with complex processes. As adoption increases, real-time asset monitoring is becoming a primary enabler of predictive maintenance technology adoption.

For example, in June 2024, IBM Corporation announced version 9.0 of its Maximo Apply Suite, featuring newly enhanced AI-driven predictive maintenance, improved real-time IoT integrations, and a redesigned interface.

Assistance in digital transformation in Industry Proliferates the Global Market Growth

As industries evolve, predictive maintenance systems will be crucial in navigating this transformation. Predictive maintenance systems are ultimately not only about preventing equipment failure; they also assist in optimizing operational efficiency by reducing energy consumption and improving production techniques to promote sustainability. Artificial intelligence and machine learning enable companies to optimize operational efficiencies, as organizations can identify common patterns in how their equipment operates. With all industries needing to become more efficient to achieve stakeholder and environmental expectations, the promotion of smart factories and automated operations has positioned predictive maintenance as an enabler within industrial programs. As organizations become increasingly reliant on technology and enhancements in computerized functions, the demand for predictive maintenance is expected to continue growing within the market.

For example, in June 2024, C3.ai, Inc. delivered its AI Reliability solution to Holcim, a global supplier of building materials, furthering the company's digital transformation and sustainability initiatives, which assisted in digital transformation within the industry.

Service Segment Dominates Global AI-Powered Predictive Maintenance Systems Market Share

The services segment enjoys (or plays) a significant position in this market due to the increasing reliance of companies on advanced predictive maintenance by third-party suppliers. These services vary to include system integration, cloud analytics with training the AI model and ongoing support. Most firms prefer outsourcing versus building a solution in-house because it reduces their cost and complexity. Providers develop expertise in the installation and maintenance of AI-based solutions, enabling clients to hit the ground running. As companies transition from exploration to implementation, the services sector is expected to remain dominant due to its flexibility, reliability, and rapid deployment.

For example, in June 2025, Siemens AG deployed its Senseye Predictive Maintenance solution at Sachsenmilch Leppersdorf GmbH to monitor real-time equipment responses and integrate them with the SAP maintenance system.

North America Leads in Global AI-Powered Predictive Maintenance Systems Market

The North America region is a major player in the predictive maintenance market, primarily due to the region's industrial strength and early adoption of more advanced technologies. In the United States and Canada, businesses remain committed to investing in maintenance plans to enable the use of AI tools and make more informed, intelligent decisions more quickly. Automation, using data to drive decision-making, and digital upgrades are an emerging trend for industries across the region, as they push toward predictive solutions. Organizations can also take advantage of government programs supporting smart manufacturing and digital infrastructure. The region's IT ecosystem, which develops a wide variety of industrial IoT devices, provides a clear playbook (advantage) for market growth.

For example, in March 2024, General Electric Vernova provided its predictive analytics software to TASNEE to support early failure detection and to avoid downtime in industrial settings.

Impact of U.S. Tariffs on Global AI-Powered Predictive Maintenance Systems Market

U.S. tariffs on imported electronics and industrial components may slightly slow the market growth pace by increasing costs for hardware-based solutions. Predictive maintenance solutions rely heavily on sensors, processors and network devices, several of which can come from other parts of the world. This means adding costs that could slow down deployment, especially in small- and medium-sized enterprises. However, there is substantial demand domestically, there are local manufacturers, and there is a rising investment in AI software, which may help mitigate this over time. While recent trade actions have created disruptions in the market, it is ultimately expected to remain strong despite these trade policies and rising costs.

Key Players Landscape and Outlook

The market landscape continues to evolve, driven by rapid innovation and intense competition among technology companies developing proprietary AI-enhanced platforms for maintenance. In some cases, these platforms offer capabilities that encompass fault prediction, diagnostics, or even workflow automation, enabling customer organizations to move towards proactive rather than reactive strategies. The longer-term picture is mainly positive, as many leading vendors are concentrating on leveraging AI to increase the platform's functions, combine cloud functionality and use data across disparate systems. At the same time, the sector is transitioning from a standalone tooling phase to a multi-faceted maintenance ecosystem that enables data-driven and real-time decision-making, a capability that was previously lacking. This provides a strong foundation for further development, as industries are looking to scale their operations, improve uptime, and reduce costs, even as they transition to intelligent maintenance solutions.

For instance, in March 2025, Siemens AG expanded its Industrial Copilot portfolio with a generative AI maintenance tool that integrates with predictive platforms to support the entire maintenance cycle.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Impact of U.S. Tariffs

4. Executive Summary

5. Voice of Customers

  • 5.1. Respondent Demographics
  • 5.2. Brand Awareness
  • 5.3. Factors Considered in Purchase Decisions
  • 5.4. Challenges Faced Post Purchase

6. Global AI-Powered Predictive Maintenance Systems Market Outlook, 2018-2032F

  • 6.1. Market Size Analysis & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share Analysis & Forecast
    • 6.2.1. By Component
      • 6.2.1.1. Hardware
      • 6.2.1.2. Software
      • 6.2.1.3. Services
    • 6.2.2. By Deployment
      • 6.2.2.1. On-premises
      • 6.2.2.2. Cloud
      • 6.2.2.3. Hybrid
    • 6.2.3. By Technology
      • 6.2.3.1. Machine Learning
      • 6.2.3.2. Deep Learning
      • 6.2.3.3. Natural Language Processing
      • 6.2.3.4. Computer Vision
      • 6.2.3.5. Edge AI
    • 6.2.4. By Application
      • 6.2.4.1. Condition Monitoring
      • 6.2.4.2. Failure Detection and Diagnosis
      • 6.2.4.3. Asset Performance Management
      • 6.2.4.4. Energy Consumption Optimization
      • 6.2.4.5. Others
    • 6.2.5. By Region
      • 6.2.5.1. North America
      • 6.2.5.2. Europe
      • 6.2.5.3. Asia-Pacific
      • 6.2.5.4. South America
      • 6.2.5.5. Middle East and Africa
    • 6.2.6. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
  • 6.3. Market Map Analysis, 2024
    • 6.3.1. By Component
    • 6.3.2. By Deployment
    • 6.3.3. By Technology
    • 6.3.4. By Application
    • 6.3.5. By Region

7. North America AI-Powered Predictive Maintenance Systems Market Outlook, 2018-2032F

  • 7.1. Market Size Analysis & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share Analysis & Forecast
    • 7.2.1. By Component
      • 7.2.1.1. Hardware
      • 7.2.1.2. Software
      • 7.2.1.3. Services
    • 7.2.2. By Deployment
      • 7.2.2.1. On-premises
      • 7.2.2.2. Cloud
      • 7.2.2.3. Hybrid
    • 7.2.3. By Technology
      • 7.2.3.1. Machine Learning
      • 7.2.3.2. Deep Learning
      • 7.2.3.3. Natural Language Processing
      • 7.2.3.4. Computer Vision
      • 7.2.3.5. Edge AI
    • 7.2.4. By Application
      • 7.2.4.1. Condition Monitoring
      • 7.2.4.2. Failure Detection and Diagnosis
      • 7.2.4.3. Asset Performance Management
      • 7.2.4.4. Energy Consumption Optimization
      • 7.2.4.5. Others
    • 7.2.5. By Country
      • 7.2.5.1. United States
      • 7.2.5.2. Canada
      • 7.2.5.3. Mexico
  • 7.3. Country Market Assessment
    • 7.3.1. United States AI-Powered Predictive Maintenance Systems Market Outlook, 2018-2032F
      • 7.3.1.1. Market Size Analysis & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share Analysis & Forecast
        • 7.3.1.2.1. By Component
          • 7.3.1.2.1.1. Hardware
          • 7.3.1.2.1.2. Software
          • 7.3.1.2.1.3. Services
        • 7.3.1.2.2. By Deployment
          • 7.3.1.2.2.1. On-premises
          • 7.3.1.2.2.2. Cloud
          • 7.3.1.2.2.3. Hybrid
        • 7.3.1.2.3. By Technology
          • 7.3.1.2.3.1. Machine Learning
          • 7.3.1.2.3.2. Deep Learning
          • 7.3.1.2.3.3. Natural Language Processing
          • 7.3.1.2.3.4. Computer Vision
          • 7.3.1.2.3.5. Edge AI
        • 7.3.1.2.4. By Application
          • 7.3.1.2.4.1. Condition Monitoring
          • 7.3.1.2.4.2. Failure Detection and Diagnosis
          • 7.3.1.2.4.3. Asset Performance Management
          • 7.3.1.2.4.4. Energy Consumption Optimization
          • 7.3.1.2.4.5. Others

All segments will be provided for all regions and countries covered

8. Europe AI-Powered Predictive Maintenance Systems Market Outlook, 2018-2032F

  • 8.1. Germany
  • 8.2. France
  • 8.3. Italy
  • 8.4. United Kingdom
  • 8.5. Russia
  • 8.6. Netherlands
  • 8.7. Spain
  • 8.8. Turkey
  • 8.9. Poland

9. Asia-Pacific AI-Powered Predictive Maintenance Systems Market Outlook, 2018-2032F

  • 9.1. India
  • 9.2. China
  • 9.3. Japan
  • 9.4. Australia
  • 9.5. Vietnam
  • 9.6. South Korea
  • 9.7. Indonesia
  • 9.8. Philippines

10. South America AI-Powered Predictive Maintenance Systems Market Outlook, 2018-2032F

  • 10.1. Brazil
  • 10.2. Argentina

11. Middle East and Africa AI-Powered Predictive Maintenance Systems Market Outlook, 2018-2032F

  • 11.1. Saudi Arabia
  • 11.2. UAE
  • 11.3. South Africa

12. Porter's Five Forces Analysis

13. PESTLE Analysis

14. Market Dynamics

  • 14.1. Market Drivers
  • 14.2. Market Challenges

15. Market Trends and Developments

16. Case Studies

17. Competitive Landscape

  • 17.1. Competition Matrix of Top 5 Market Leaders
  • 17.2. SWOT Analysis for Top 5 Players
  • 17.3. Key Players Landscape for Top 10 Market Players
    • 17.3.1. C3.ai
      • 17.3.1.1. Company Details
      • 17.3.1.2. Key Management Personnel
      • 17.3.1.3. Key Products/Services Offered
      • 17.3.1.4. Key Financials (As Reported)
      • 17.3.1.5. Key Market Focus and Geographical Presence
      • 17.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
    • 17.3.2. IBM Corporation
    • 17.3.3. Microsoft Corporation
    • 17.3.4. SAP SE
    • 17.3.5. Siemens AG
    • 17.3.6. General Electric Company
    • 17.3.7. PTC Inc.
    • 17.3.8. Schneider Electric SE
    • 17.3.9. ABB Ltd.
    • 17.3.10. Rockwell Automation Inc.

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

18. Strategic Recommendations

19. About Us and Disclaimer