AIベースの予知保全市場：コンポーネント、テクノロジー、展開タイプ、データソース、展開モード、組織規模、エンドユーザー別-2025-2030年の世界予測

AIベースの予知保全市場は、2024年には8億4,009万米ドルとなり、2025年には9億3,973万米ドル、CAGR12.39%で成長し、2030年には16億9,371万米ドルに達すると予測されています。

AIを活用した予知保全の出現は、産業界が機器の長寿命化と運用効率に取り組む方法を再構築しています。今日の速いペースの技術エコシステムにおいて、企業はコストのかかる故障を予測、予防、軽減するために、膨大な量のデータを活用する高度な分析ツールにますます注目するようになっています。マシン・インテリジェンスとリアルタイムのデータを統合することで、企業は潜在的な問題が深刻化する前にそれを予見する力を得ることができます。

この革新的なアプローチは、消極的なメンテナンス戦略をはるかに超えるものです。インテリジェントなアルゴリズムを活用して複雑なデータセットから実用的な洞察を引き出し、過去の動向と現在のセンサー出力を組み合わせて機器の性能を予測します。クラウドベースのAIソリューション、エッジコンピューティング、多様なセンサー技術を強固に統合することで、メンテナンスが正確で、データ主導型であり、ビジネス目標に戦略的に沿ったものとなります。さまざまなセクターがデジタルトランスフォーメーションに投資する中、予知保全の進化は資産管理を再定義するだけでなく、イノベーションと効率性の新たな基準を打ち立てる。

この包括的な分析では、市場成長を促進する根本的な要因を検証し、進化する技術情勢を探り、セグメンテーション、地域差、業界を牽引する主要プレイヤーに関する洞察を提供します。この重要なレンズを通して、意思決定者は新たな動向をより的確に把握し、競争市場で優位に立つための戦略的機会を引き出すことができます。

AIベースの予知保全市場の変革

技術革新と市場力学の進化により、予知保全は新たな時代を迎えています。最近の人工知能の進歩は、ディープラーニングとリアルタイム分析を融合させることで、運転寿命を再定義しています。センサー技術とクラウドベースのインフラストラクチャーの急速な進歩により、組織は膨大な量のデータを前例のない精度で取得・分析できるようになりました。

あらゆる産業で、従来のスケジュールベースの保守から、俊敏で予測的な手法へのシフトが見られるようになっています。この変化は、ディープラーニング、機械学習、エッジAI機能の統合の進展によってもたらされています。企業は現在、既存の状態を監視するだけでなく、機器の将来の状態を予測するソリューションを導入できるようになり、その結果、操業中断に至る前にリスクを軽減できるようになりました。局所的なデータ処理から遠隔地やクラウドを備えたシステムへの移行により、拡張性が強化され、情報の流れが合理化されたことで、メンテナンス・プロトコルがより更新しやすく、より迅速に対応できるようになりました。

デジタル・エコシステムが成熟するにつれ、業界を超えたコラボレーションが、こうした変革のシフトをさらに加速させています。学術調査、官民パートナーシップ、企業のイノベーション・クラスターは、知識と専門知識のシームレスな交換に積極的に貢献しています。従来のオンプレミス型からハイブリッド戦略まで、展開モデルの進化に伴い、メンテナンスのパラダイムは急速に進化しており、あらゆる業務プロセスにおいて精度と効率が最優先される未来への舞台が整いつつあります。

予知保全市場の主なセグメンテーション洞察

予知保全市場は、その多面的な成長の可能性について詳細な見通しを提供する多種多様なセグメンテーション層を示しています。構成要素に基づくセグメンテーションを詳しく見てみると、市場はハードウェア、サービス、ソフトウェアの相互作用を通じて広範に分析されていることがわかる。ハードウェアのカテゴリーでは、アクチュエーター、通信機器、コンピューティング・ハードウェア、コントローラー、データ収集システム、データ・ストレージ・ソリューション、さらに保守・監視用の特殊ハードウェアに分類されます。さらに、ネットワーク・インフラストラクチャーと電源ソリューションが、市場全体の複雑さを増しています。コンピューティング・ハードウェアのサブカテゴリーでは、特定用途向け集積回路（ASIC）、中央演算処理装置（CPU）、フィールド・プログラマブル・ゲート・アレイ（FPGA）、グラフィックス・プロセッシング・ユニット（GPU）、高性能コンピューティング・サーバーなど、特定のサブセグメントにまで深く分析が及んでいます。同様に、エッジデバイス分野には、エッジコンピューティングゲートウェイ、エッジサーバー、組み込みシステム、産業用IoT（IIoT）ゲートウェイが含まれ、センサー分野には、音響センサー、電流/電圧センサー、ガスセンサー、湿度センサー、圧力センサー、近接センサー、ひずみゲージ、温度センサー、超音波センサー、振動センサーが含まれます。

技術に基づくセグメンテーションを見ると、クラウドベースのAIソリューション、ディープラーニング、エッジAI、機械学習、自然言語処理、強化学習など、さまざまな手法で市場を調査しています。この分類は、異なる技術的アプローチが予測精度と業務効率の向上において極めて重要な役割を果たすことを強調しています。さらに、展開のタイプに基づく分析では、ローカル展開とリモート展開を区別し、データソースのセグメンテーションでは、意思決定プロセスの形成における履歴データ、IoTセンサーフィード、マシンデータ、リアルタイムデータの役割について検討しています。さらに、クラウドベースからハイブリッド、オンプレミスまで、導入形態に基づく階層的な理解も深めています。さらに、組織のセグメンテーションでは、大企業と中小企業（SMEs）のニーズを比較することで洞察を提供し、エンドユーズ・セグメンテーションでは、航空宇宙・防衛、自動車、エネルギー・公益事業、ヘルスケア、製造、鉱業、石油・ガス、輸送・物流など、複数のセクターにまたがっています。この多層セグメンテーション分析は、市場動向、消費者行動、技術革新を複雑に理解するための強固な枠組みを提供します。

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 市場の概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • インダストリー4.0の成長により、予知保全戦略へのAIの統合が促進される
    • 運用効率の改善に対する意識の高まりにより、予知保全ソリューションへの関心が高まっています。
  • 抑制要因
    • AIベースの予知保全ソリューションを導入するための初期コストが高い
  • 機会
    • AI技術の導入により、業界全体で予知保全機能が加速している
    • 予知保全機能を強化するためのAIおよびIoTテクノロジー企業との提携およびコラボレーション
  • 課題
    • AIベースの予知保全の正確性と信頼性の確保
• 市場セグメンテーション分析
  • コンポーネント：生データを実用的な洞察に変換する中心的な役割により、ソフトウェアの使用が増加
  • 最終用途：製造業におけるAIベースの予知保全の活用
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社会
  • 技術的
  • 法律上
  • 環境

第6章 AIベースの予知保全市場：コンポーネント別

• ハードウェア
  • アクチュエータ
  • 通信機器
  • コンピューティングハードウェア
    • 特定用途向け集積回路（ASIC）
    • 中央処理装置（CPU）
    • フィールドプログラマブルゲートアレイ（FPGA）
    • グラフィックスプロセッシングユニット（GPU）
    • 高性能コンピューティングサーバー
  • コントローラー
  • データ収集システム
  • データストレージ
  • エッジデバイス
    • エッジコンピューティングゲートウェイ
    • エッジサーバー
    • 組み込みシステム
    • 産業用 IoT（IIoT）ゲートウェイ
  • メンテナンスと監視のためのハードウェア
  • ネットワークインフラストラクチャ
  • 電源
  • センサー
    • 音響センサー
    • 電流/電圧センサー
    • ガスセンサー
    • 湿度センサー
    • 圧力センサー
    • 近接センサー
    • ひずみゲージ
    • 温度センサー
    • 超音波センサー
    • 振動センサー
• サービス
• ソフトウェア

第7章 AIベースの予知保全市場：技術別

• クラウドベースのAIソリューション
• ディープラーニング
• エッジAI
• 機械学習
• 自然言語処理
• 強化学習

第8章 AIベースの予知保全市場：展開タイプ別

• ローカル展開
• リモート展開

第9章 AIベースの予知保全市場データソース別

• 履歴データ
• IoTセンサー
• 機械データ
• リアルタイムデータ

第10章 AIベースの予知保全市場：展開モード別

• クラウドベース
• ハイブリッド
• オンプレミス

第11章 AIベースの予知保全市場：組織規模別

• 大企業
• 中小企業

第12章 AIベースの予知保全市場：最終用途別

• 航空宇宙および防衛
• 自動車
• エネルギー・公益事業
• ヘルスケア
• 製造業
• 鉱業
• 石油・ガス
• 運輸・物流

第13章 南北アメリカのAIベースの予知保全市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第14章 アジア太平洋地域のAIベースの予知保全市場

• 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15章 欧州・中東・アフリカのAIベースの予知保全市場

• 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16章 競合情勢

• 市場シェア分析, 2024
• FPNVポジショニングマトリックス, 2024
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

• ABB Ltd
• Bharat Electronics Limited
• Bharti Airtel Limited
• C3.ai, Inc.
• Clarifai, Inc.
• Cosmos Thrace
• craftworks GmbH
• Deloitte Touche Tohmatsu Limited
• DINGO Software Pty. Ltd.
• Emerson Electric Co.
• Falkonry, Inc.
• GE Vernova
• Hitachi, Ltd.
• Honeywell International Inc.
• Innovify
• Intel Corporation
• International Business Machines Corporation
• LeewayHertz
• Mircosoft Corporation
• Nanoprecise
• Neosperience Spa
• Oracle Corporation
• SAP SE
• Siemens AG
• statworx GmbH
• Technomax
• Uptake Technologies Inc.

LIST OF FIGURES

• FIGURE 1. AI-BASED PREDICTIVE MAINTENANCE MARKET MULTI-CURRENCY
• FIGURE 2. AI-BASED PREDICTIVE MAINTENANCE MARKET MULTI-LANGUAGE
• FIGURE 3. AI-BASED PREDICTIVE MAINTENANCE MARKET RESEARCH PROCESS
• FIGURE 4. AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, 2024 VS 2030
• FIGURE 5. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 6. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 7. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
• FIGURE 9. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2024 VS 2030 (%)
• FIGURE 11. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 12. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2024 VS 2030 (%)
• FIGURE 13. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 14. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2024 VS 2030 (%)
• FIGURE 15. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 16. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
• FIGURE 17. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 18. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2030 (%)
• FIGURE 19. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 20. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2024 VS 2030 (%)
• FIGURE 21. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 22. AMERICAS AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 23. AMERICAS AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 24. UNITED STATES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY STATE, 2024 VS 2030 (%)
• FIGURE 25. UNITED STATES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 26. ASIA-PACIFIC AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 27. ASIA-PACIFIC AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 28. EUROPE, MIDDLE EAST & AFRICA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 29. EUROPE, MIDDLE EAST & AFRICA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 30. AI-BASED PREDICTIVE MAINTENANCE MARKET SHARE, BY KEY PLAYER, 2024
• FIGURE 31. AI-BASED PREDICTIVE MAINTENANCE MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

• TABLE 1. AI-BASED PREDICTIVE MAINTENANCE MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
• TABLE 3. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. AI-BASED PREDICTIVE MAINTENANCE MARKET DYNAMICS
• TABLE 7. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ACTUATORS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMMUNICATION DEVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY APPLICATION-SPECIFIC INTEGRATED CIRCUITS (ASICS), BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY CENTRAL PROCESSING UNITS (CPUS), BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY FIELD-PROGRAMMABLE GATE ARRAYS (FPGAS), BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY GRAPHICS PROCESSING UNITS (GPUS), BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HIGH-PERFORMANCE COMPUTING SERVERS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY CONTROLLERS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA ACQUISITION SYSTEMS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA STORAGE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 22. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE COMPUTING GATEWAYS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 23. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE SERVERS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 24. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EMBEDDED SYSTEMS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 25. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY INDUSTRIAL IOT (IIOT) GATEWAYS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 26. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 27. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE FOR MAINTENANCE & MONITORING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 28. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY NETWORK INFRASTRUCTURE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 29. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY POWER SUPPLY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 30. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 31. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ACOUSTIC SENSORS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 32. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY CURRENT/VOLTAGE SENSORS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 33. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY GAS SENSORS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 34. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HUMIDITY SENSORS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 35. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY PRESSURE SENSORS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 36. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY PROXIMITY SENSORS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 37. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY STRAIN GAUGES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 38. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TEMPERATURE SENSORS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 39. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ULTRASONIC SENSORS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 40. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY VIBRATION SENSORS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 41. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 42. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 43. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 44. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 45. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 46. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY CLOUD-BASED AI SOLUTIONS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 47. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 48. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE AI, BY REGION, 2018-2030 (USD MILLION)
• TABLE 49. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 50. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 51. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY REINFORCEMENT LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 52. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 53. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY LOCAL DEPLOYMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 54. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY REMOTE DEPLOYMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 55. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 56. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HISTORICAL DATA, BY REGION, 2018-2030 (USD MILLION)
• TABLE 57. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY IOT SENSORS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 58. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY MACHINE DATA, BY REGION, 2018-2030 (USD MILLION)
• TABLE 59. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY REAL-TIME DATA, BY REGION, 2018-2030 (USD MILLION)
• TABLE 60. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 61. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY CLOUD-BASED, BY REGION, 2018-2030 (USD MILLION)
• TABLE 62. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HYBRID, BY REGION, 2018-2030 (USD MILLION)
• TABLE 63. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ON-PREMISES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 64. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 65. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 66. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SMALL AND MEDIUM ENTERPRISES (SMES), BY REGION, 2018-2030 (USD MILLION)
• TABLE 67. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 68. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY AEROSPACE & DEFENSE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 69. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 70. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 71. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 72. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 73. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY MINING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 74. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY OIL & GAS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 75. GLOBAL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 76. AMERICAS AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 77. AMERICAS AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 78. AMERICAS AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 79. AMERICAS AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 80. AMERICAS AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 81. AMERICAS AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 82. AMERICAS AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 83. AMERICAS AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 84. AMERICAS AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 85. AMERICAS AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 86. AMERICAS AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 87. AMERICAS AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 88. ARGENTINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 89. ARGENTINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 90. ARGENTINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 91. ARGENTINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 92. ARGENTINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 93. ARGENTINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 94. ARGENTINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 95. ARGENTINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 96. ARGENTINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 97. ARGENTINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 98. ARGENTINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 99. BRAZIL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 100. BRAZIL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 101. BRAZIL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 102. BRAZIL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 103. BRAZIL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 104. BRAZIL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 105. BRAZIL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 106. BRAZIL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 107. BRAZIL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 108. BRAZIL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 109. BRAZIL AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 110. CANADA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 111. CANADA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 112. CANADA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 113. CANADA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 114. CANADA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 115. CANADA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 116. CANADA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 117. CANADA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 118. CANADA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 119. CANADA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 120. CANADA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 121. MEXICO AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 122. MEXICO AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 123. MEXICO AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 124. MEXICO AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 125. MEXICO AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 126. MEXICO AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 127. MEXICO AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 128. MEXICO AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 129. MEXICO AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 130. MEXICO AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 131. MEXICO AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 132. UNITED STATES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 133. UNITED STATES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 134. UNITED STATES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 135. UNITED STATES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 136. UNITED STATES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 137. UNITED STATES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 138. UNITED STATES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 139. UNITED STATES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 140. UNITED STATES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 141. UNITED STATES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 142. UNITED STATES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 143. UNITED STATES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 144. ASIA-PACIFIC AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 145. ASIA-PACIFIC AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 146. ASIA-PACIFIC AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 147. ASIA-PACIFIC AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 148. ASIA-PACIFIC AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 149. ASIA-PACIFIC AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 150. ASIA-PACIFIC AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 151. ASIA-PACIFIC AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 152. ASIA-PACIFIC AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 153. ASIA-PACIFIC AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 154. ASIA-PACIFIC AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 155. ASIA-PACIFIC AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 156. AUSTRALIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 157. AUSTRALIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 158. AUSTRALIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 159. AUSTRALIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 160. AUSTRALIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 161. AUSTRALIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 162. AUSTRALIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 163. AUSTRALIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 164. AUSTRALIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 165. AUSTRALIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 166. AUSTRALIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 167. CHINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 168. CHINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 169. CHINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 170. CHINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 171. CHINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 172. CHINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 173. CHINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 174. CHINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 175. CHINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 176. CHINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 177. CHINA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 178. INDIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 179. INDIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 180. INDIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 181. INDIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 182. INDIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 183. INDIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 184. INDIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 185. INDIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 186. INDIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 187. INDIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 188. INDIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 189. INDONESIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 190. INDONESIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 191. INDONESIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 192. INDONESIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 193. INDONESIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 194. INDONESIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 195. INDONESIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 196. INDONESIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 197. INDONESIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 198. INDONESIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 199. INDONESIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 200. JAPAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 201. JAPAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 202. JAPAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 203. JAPAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 204. JAPAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 205. JAPAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 206. JAPAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 207. JAPAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 208. JAPAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 209. JAPAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 210. JAPAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 211. MALAYSIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 212. MALAYSIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 213. MALAYSIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 214. MALAYSIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 215. MALAYSIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 216. MALAYSIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 217. MALAYSIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 218. MALAYSIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 219. MALAYSIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 220. MALAYSIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 221. MALAYSIA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 222. PHILIPPINES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 223. PHILIPPINES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 224. PHILIPPINES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 225. PHILIPPINES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 226. PHILIPPINES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 227. PHILIPPINES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 228. PHILIPPINES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 229. PHILIPPINES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 230. PHILIPPINES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 231. PHILIPPINES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 232. PHILIPPINES AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 233. SINGAPORE AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 234. SINGAPORE AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 235. SINGAPORE AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 236. SINGAPORE AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 237. SINGAPORE AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 238. SINGAPORE AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 239. SINGAPORE AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 240. SINGAPORE AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 241. SINGAPORE AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 242. SINGAPORE AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 243. SINGAPORE AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 244. SOUTH KOREA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 245. SOUTH KOREA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 246. SOUTH KOREA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 247. SOUTH KOREA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 248. SOUTH KOREA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 249. SOUTH KOREA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 250. SOUTH KOREA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 251. SOUTH KOREA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 252. SOUTH KOREA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 253. SOUTH KOREA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 254. SOUTH KOREA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 255. TAIWAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 256. TAIWAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 257. TAIWAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 258. TAIWAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 259. TAIWAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 260. TAIWAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 261. TAIWAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 262. TAIWAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 263. TAIWAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 264. TAIWAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 265. TAIWAN AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 266. THAILAND AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 267. THAILAND AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 268. THAILAND AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 269. THAILAND AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 270. THAILAND AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 271. THAILAND AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 272. THAILAND AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 273. THAILAND AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 274. THAILAND AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 275. THAILAND AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 276. THAILAND AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 277. VIETNAM AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 278. VIETNAM AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 279. VIETNAM AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 280. VIETNAM AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 281. VIETNAM AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 282. VIETNAM AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 283. VIETNAM AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 284. VIETNAM AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 285. VIETNAM AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 286. VIETNAM AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 287. VIETNAM AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 288. EUROPE, MIDDLE EAST & AFRICA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 289. EUROPE, MIDDLE EAST & AFRICA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 290. EUROPE, MIDDLE EAST & AFRICA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 291. EUROPE, MIDDLE EAST & AFRICA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
• TABLE 292. EUROPE, MIDDLE EAST & AFRICA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY SENSORS, 2018-2030 (USD MILLION)
• TABLE 293. EUROPE, MIDDLE EAST & AFRICA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 294. EUROPE, MIDDLE EAST & AFRICA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 295. EUROPE, MIDDLE EAST & AFRICA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
• TABLE 296. EUROPE, MIDDLE EAST & AFRICA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 297. EUROPE, MIDDLE EAST & AFRICA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 298. EUROPE, MIDDLE EAST & AFRICA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 299. EUROPE, MIDDLE EAST & AFRICA AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 300. DENMARK AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 301. DENMARK AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 302. DENMARK AI-BASED PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPUTING HARDWARE, 2018-2030 (USD MILLION)
• TABLE 303. DENMARK AI-BA

The AI-Based Predictive Maintenance Market was valued at USD 840.09 million in 2024 and is projected to grow to USD 939.73 million in 2025, with a CAGR of 12.39%, reaching USD 1,693.71 million by 2030.

The emergence of AI-based predictive maintenance is reshaping the way industries approach equipment longevity and operational efficiency. In today's fast-paced technological ecosystem, businesses are increasingly turning to advanced analytical tools that harness vast amounts of data in order to predict, prevent, and mitigate costly failures. By integrating machine intelligence with real-time data, organizations gain the power to foresee potential issues before they escalate, thus ensuring smoother operational flow and a significant reduction in downtime.

This transformative approach goes far beyond reactive maintenance strategies. It leverages intelligent algorithms to draw actionable insights from complex data sets, combining historical trends with current sensor outputs to forecast equipment performance. The robust integration of cloud-based AI solutions, edge computing, and diverse sensor technologies ensures that maintenance is precise, data-driven, and strategically aligned with business goals. As various sectors invest in digital transformation, the evolution of predictive maintenance not only redefines asset management but also sets a new standard for innovation and efficiency.

In this comprehensive analysis, we examine the underlying factors propelling market growth, explore the evolving technological landscape, and offer insights into segmentation, regional variations, and the major players driving the industry forward. Through this critical lens, decision-makers can better navigate emerging trends and unlock strategic opportunities to stay ahead in a competitive market.

Transformative Shifts in the AI-Based Predictive Maintenance Landscape

Technological innovations and evolving market dynamics have ushered in a new era for predictive maintenance. Recent advancements in artificial intelligence have redefined operational longevity by merging deep learning with real-time analytics. Rapid progress in sensor technology and cloud-based infrastructures has allowed organizations to capture and analyze vast volumes of data with unprecedented accuracy.

Industries across the board are witnessing a shift from traditional, schedule-based maintenance to an agile, predictive methodology. This change is powered by the increasing integration of deep learning, machine learning, and edge AI capabilities. Companies are now able to deploy solutions that not only monitor existing conditions but also predict future states of equipment, thus mitigating risks before they turn into operational disruptions. The move from localized data handling to remote and cloud-equipped systems has enhanced scalability and streamlined the flow of information, making maintenance protocols more updateable and responsive.

As digital ecosystems mature, cross-industry collaborations have further accelerated these transformative shifts. Academic research, public-private partnerships, and corporate innovation clusters are actively contributing to a seamless exchange of knowledge and expertise. With evolving deployment models-from traditional on-premises setups to hybrid strategies-the paradigm of maintenance is rapidly evolving, setting the stage for a future where precision and efficiency are paramount in all operational processes.

Key Segmentation Insights into the Predictive Maintenance Market

The predictive maintenance market exhibits a rich variety of segmentation layers that provide a detailed perspective on its multi-dimensional growth potential. A closer look at segmentation based on component reveals that the market is extensively analyzed through the interplay of hardware, services, and software. Within the hardware category, the category is further dissected into actuators, communication devices, computing hardware, controllers, data acquisition systems, data storage solutions, as well as specialized hardware for maintenance and monitoring. Moreover, network infrastructure and power supply solutions add layers to the overall market complexity. In the computing hardware sub-category, deep analysis extends into specific sub-segments such as application-specific integrated circuits (ASICs), central processing units (CPUs), field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and high-performance computing servers. Similarly, the edge devices segment incorporates edge computing gateways, edge servers, embedded systems, and industrial IoT (IIoT) gateways, while the sensors segment encompasses acoustic sensors, current/voltage sensors, gas sensors, humidity sensors, pressure sensors, proximity sensors, strain gauges, temperature sensors, ultrasonic sensors, and vibration sensors.

Looking at segmentation based on technology, the market is explored through various methods including cloud-based AI solutions, deep learning, edge AI, machine learning, natural language processing, and reinforcement learning. This categorization emphasizes how different technological approaches play pivotal roles in enhancing predictive accuracy and operational efficiency. Furthermore, analyses based on deployment types differentiate between local and remote deployment, while data source segmentation deliberates the roles of historical data, IoT sensor feeds, machine data, and real-time data in shaping the decision-making process. Complementing this, the study unfolds a layered understanding based on deployment modes-ranging from cloud-based to hybrid and on-premises setups. Additionally, organizational segmentation offers insights by comparing the needs of large enterprises with those of small and medium enterprises (SMEs), and end-use segmentation spans across multiple sectors such as aerospace and defense, automotive, energy and utilities, healthcare, manufacturing, mining, oil and gas, and transportation and logistics. This multi-tier segmentation analysis provides a robust framework through which market trends, consumer behaviors, and technological innovations can be intricately understood.

Based on Component, market is studied across Hardware, Services, and Software. The Hardware is further studied across Actuators, Communication Devices, Computing Hardware, Controllers, Data Acquisition Systems, Data Storage, Edge Devices, Hardware for Maintenance & Monitoring, Network Infrastructure, Power Supply, and Sensors. The Computing Hardware is further studied across Application-Specific Integrated Circuits (ASICs), Central Processing Units (CPUs), Field-Programmable Gate Arrays (FPGAs), Graphics Processing Units (GPUs), and High-Performance Computing Servers. The Edge Devices is further studied across Edge Computing Gateways, Edge Servers, Embedded Systems, and Industrial IoT (IIoT) Gateways. The Sensors is further studied across Acoustic Sensors, Current/Voltage Sensors, Gas Sensors, Humidity Sensors, Pressure Sensors, Proximity Sensors, Strain Gauges, Temperature Sensors, Ultrasonic Sensors, and Vibration Sensors.

Based on Technology, market is studied across Cloud-based AI Solutions, Deep Learning, Edge AI, Machine Learning, Natural Language Processing, and Reinforcement Learning.

Based on Deployment Type, market is studied across Local Deployment and Remote Deployment.

Based on Data Source, market is studied across Historical Data, IoT Sensors, Machine Data, and Real-time Data.

Based on Deployment Mode, market is studied across Cloud-based, Hybrid, and On-premises.

Based on Organization Size, market is studied across Large Enterprises and Small and Medium Enterprises (SMEs).

Based on End-Use, market is studied across Aerospace & Defense, Automotive, Energy & Utilities, Healthcare, Manufacturing, Mining, Oil & Gas, and Transportation & Logistics.

Key Regional Insights: Evaluating Global Trends

Regional analysis indicates a broad spectrum of market maturity and regional adoption trends. In the Americas, innovative deployment schemes and a strong industrial base offer fertile grounds for the proliferation of predictive maintenance technologies. The region is characterized by significant investments in digital transformation initiatives across a diverse range of industries. In Europe, the Middle East, and Africa, mature regulatory frameworks and a rapidly growing interest in smart manufacturing drive adoption, supported by government-led initiatives focused on sustainability and operational efficiency. Meanwhile, the Asia-Pacific region exhibits rapid modernization and digital integration, bolstered by extensive industrial activities and increasing governmental support for technological advancements. Each region contributes uniquely to the overall market dynamics, reflecting distinct economic environments and sectors that benefit from predictive maintenance solutions.

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.

Key Company Insights: Industry Leaders Shaping the Future

Several prominent players hold significant influence in driving the evolution of AI-based predictive maintenance. Market leaders such as ABB Ltd and Bharat Electronics Limited have established strong footholds with innovative engineering solutions, while companies like Bharti Airtel Limited and C3.ai, Inc. leverage cutting-edge technologies to expand their market reach. Clarifai, Inc., Cosmos Thrace, and craftworks GmbH continue to enhance product offerings and customer experiences by integrating new digital approaches. Esteemed organizations including Deloitte Touche Tohmatsu Limited, DINGO Software Pty. Ltd., and Emerson Electric Co. are pivotal in the technological transformation of maintenance operations. Companies such as Falkonry, Inc. and GE Vernova are notable for their strategic investments in AI and machine learning, and industrial giants like Hitachi, Ltd. and Honeywell International Inc. confidently uphold the standards of innovation and reliability. Innovify, Intel Corporation, International Business Machines Corporation, and LeewayHertz each contribute to the growth and diversification of the market, while leading technology companies including Mircosoft Corporation, Nanoprecise, and Neosperience Spa offer customized solutions for an array of industries. Oracle Corporation, SAP SE, Siemens AG, statworx GmbH, Technomax, and Uptake Technologies Inc. further fortify the market landscape by consistently delivering robust, scalable, and transformative digital services that reshape traditional maintenance paradigms.

The report delves into recent significant developments in the AI-Based Predictive Maintenance Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd, Bharat Electronics Limited, Bharti Airtel Limited, C3.ai, Inc., Clarifai, Inc., Cosmos Thrace, craftworks GmbH, Deloitte Touche Tohmatsu Limited, DINGO Software Pty. Ltd., Emerson Electric Co., Falkonry, Inc., GE Vernova, Hitachi, Ltd., Honeywell International Inc., Innovify, Intel Corporation, International Business Machines Corporation, LeewayHertz, Mircosoft Corporation, Nanoprecise, Neosperience Spa, Oracle Corporation, SAP SE, Siemens AG, statworx GmbH, Technomax, and Uptake Technologies Inc.. Actionable Recommendations for Industry Leaders

For decision-makers looking to capitalize on the opportunities presented by AI-based predictive maintenance, it is crucial to adopt a multi-pronged strategy. First, investing in scalable AI solutions and an integrated digital infrastructure can help streamline operations and reduce downtime. Leaders should also prioritize cross-departmental collaboration by integrating real-time data from diverse sources to enhance operational insights. Emphasizing partnerships with technology innovators is essential for staying abreast of rapid technological advancements and market shifts. Furthermore, regular review and recalibration of maintenance protocols in line with evolving sensor technologies and machine data analytics can secure a competitive edge. Ultimately, embracing a proactive strategy that aligns digital transformation with core operational objectives will lead to sustainable, long-term growth in a highly competitive environment.

Conclusion: Securing a Future-Proof Operational Edge

In summary, the evolution of AI-based predictive maintenance represents a marked shift in how industries can optimize operational efficiency and drive down costs while ensuring equipment longevity. By leveraging innovative technologies such as deep learning, machine learning, and advanced sensor systems, organizations are reimagining traditional maintenance models. The detailed segmentation analysis-including components, technology, deployment types, data sources, deployment modes, organization size, and end-use sectors-provides crucial insights into market dynamics. This in-depth understanding is further enriched by regional trends spanning the Americas, Europe, Middle East & Africa, and Asia-Pacific, as well as insights into leading industry players who continue to redefine the market. As businesses navigate this transformative landscape, it is evident that a proactive, integrated approach is the key to unlocking the full potential of predictive maintenance 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. Growth of Industry 4.0 propels the integration of AI in predictive maintenance strategies
    • 5.1.1.2. Growing awareness of operational efficiency improvements enhances interest in predictive maintenance solutions
  • 5.1.2. Restraints
    • 5.1.2.1. High initial costs for deploying AI-based predictive maintenance solutions
  • 5.1.3. Opportunities
    • 5.1.3.1. Adoption of AI technologies is accelerating predictive maintenance capabilities across industries
    • 5.1.3.2. Partnerships and Collaborations with AI and IoT technology companies to enhance predictive maintenance capabilities
  • 5.1.4. Challenges
    • 5.1.4.1. Ensuring accuracy and reliability of AI-based predictive maintenance
• 5.2. Market Segmentation Analysis
  • 5.2.1. Component: Central role in transforming raw data into actionable insights increases usage of software
  • 5.2.2. End-Use: Utilization of AI-based predictive maintenance in manufacturing
• 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. AI-Based Predictive Maintenance Market, by Component

• 6.1. Introduction
• 6.2. Hardware
  • 6.2.1. Actuators
  • 6.2.2. Communication Devices
  • 6.2.3. Computing Hardware
    • 6.2.3.1. Application-Specific Integrated Circuits (ASICs)
    • 6.2.3.2. Central Processing Units (CPUs)
    • 6.2.3.3. Field-Programmable Gate Arrays (FPGAs)
    • 6.2.3.4. Graphics Processing Units (GPUs)
    • 6.2.3.5. High-Performance Computing Servers
  • 6.2.4. Controllers
  • 6.2.5. Data Acquisition Systems
  • 6.2.6. Data Storage
  • 6.2.7. Edge Devices
    • 6.2.7.1. Edge Computing Gateways
    • 6.2.7.2. Edge Servers
    • 6.2.7.3. Embedded Systems
    • 6.2.7.4. Industrial IoT (IIoT) Gateways
  • 6.2.8. Hardware for Maintenance & Monitoring
  • 6.2.9. Network Infrastructure
  • 6.2.10. Power Supply
  • 6.2.11. Sensors
    • 6.2.11.1. Acoustic Sensors
    • 6.2.11.2. Current/Voltage Sensors
    • 6.2.11.3. Gas Sensors
    • 6.2.11.4. Humidity Sensors
    • 6.2.11.5. Pressure Sensors
    • 6.2.11.6. Proximity Sensors
    • 6.2.11.7. Strain Gauges
    • 6.2.11.8. Temperature Sensors
    • 6.2.11.9. Ultrasonic Sensors
    • 6.2.11.10. Vibration Sensors
• 6.3. Services
• 6.4. Software

7. AI-Based Predictive Maintenance Market, by Technology

• 7.1. Introduction
• 7.2. Cloud-based AI Solutions
• 7.3. Deep Learning
• 7.4. Edge AI
• 7.5. Machine Learning
• 7.6. Natural Language Processing
• 7.7. Reinforcement Learning

8. AI-Based Predictive Maintenance Market, by Deployment Type

• 8.1. Introduction
• 8.2. Local Deployment
• 8.3. Remote Deployment

9. AI-Based Predictive Maintenance Market, by Data Source

• 9.1. Introduction
• 9.2. Historical Data
• 9.3. IoT Sensors
• 9.4. Machine Data
• 9.5. Real-time Data

10. AI-Based Predictive Maintenance Market, by Deployment Mode

• 10.1. Introduction
• 10.2. Cloud-based
• 10.3. Hybrid
• 10.4. On-premises

11. AI-Based Predictive Maintenance Market, by Organization Size

• 11.1. Introduction
• 11.2. Large Enterprises
• 11.3. Small and Medium Enterprises (SMEs)

12. AI-Based Predictive Maintenance Market, by End-Use

• 12.1. Introduction
• 12.2. Aerospace & Defense
• 12.3. Automotive
• 12.4. Energy & Utilities
• 12.5. Healthcare
• 12.6. Manufacturing
• 12.7. Mining
• 12.8. Oil & Gas
• 12.9. Transportation & Logistics

13. Americas AI-Based Predictive Maintenance Market

• 13.1. Introduction
• 13.2. Argentina
• 13.3. Brazil
• 13.4. Canada
• 13.5. Mexico
• 13.6. United States

14. Asia-Pacific AI-Based Predictive Maintenance Market

• 14.1. Introduction
• 14.2. Australia
• 14.3. China
• 14.4. India
• 14.5. Indonesia
• 14.6. Japan
• 14.7. Malaysia
• 14.8. Philippines
• 14.9. Singapore
• 14.10. South Korea
• 14.11. Taiwan
• 14.12. Thailand
• 14.13. Vietnam

15. Europe, Middle East & Africa AI-Based Predictive Maintenance Market

• 15.1. Introduction
• 15.2. Denmark
• 15.3. Egypt
• 15.4. Finland
• 15.5. France
• 15.6. Germany
• 15.7. Israel
• 15.8. Italy
• 15.9. Netherlands
• 15.10. Nigeria
• 15.11. Norway
• 15.12. Poland
• 15.13. Qatar
• 15.14. Russia
• 15.15. Saudi Arabia
• 15.16. South Africa
• 15.17. Spain
• 15.18. Sweden
• 15.19. Switzerland
• 15.20. Turkey
• 15.21. United Arab Emirates
• 15.22. United Kingdom

16. Competitive Landscape

• 16.1. Market Share Analysis, 2024
• 16.2. FPNV Positioning Matrix, 2024
• 16.3. Competitive Scenario Analysis
  • 16.3.1. FutureMain collaborates with Saudi Aramco to enhance AI-powered predictive maintenance solutions in the Middle East
  • 16.3.2. Guidewheel introduces Scout, an AI-driven predictive maintenance solution
  • 16.3.3. Siemens's new generative artificial intelligence (AI) functionality into its predictive maintenance solution
• 16.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. ABB Ltd
• 2. Bharat Electronics Limited
• 3. Bharti Airtel Limited
• 4. C3.ai, Inc.
• 5. Clarifai, Inc.
• 6. Cosmos Thrace
• 7. craftworks GmbH
• 8. Deloitte Touche Tohmatsu Limited
• 9. DINGO Software Pty. Ltd.
• 10. Emerson Electric Co.
• 11. Falkonry, Inc.
• 12. GE Vernova
• 13. Hitachi, Ltd.
• 14. Honeywell International Inc.
• 15. Innovify
• 16. Intel Corporation
• 17. International Business Machines Corporation
• 18. LeewayHertz
• 19. Mircosoft Corporation
• 20. Nanoprecise
• 21. Neosperience Spa
• 22. Oracle Corporation
• 23. SAP SE
• 24. Siemens AG
• 25. statworx GmbH
• 26. Technomax
• 27. Uptake Technologies Inc.