サンプル依頼リスト カート
  • English
  • Korean
  • Traditional Chinese
  • Simplified Chinese
デフォルト表紙
市場調査レポート
商品コード
1472086

予知保全の世界市場規模調査・予測、コンポーネント別、展開モデル別、組織規模別、業界別、地域別分析、2023～2030年

Global Predictive Maintenance Market Size Study & Forecast, by Component, By Deployment Model, By Organization Size, By Industry Vertical, and Regional Analysis, 2023-2030

出版日
ページ情報
英文 200 Pages
納期
2～3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=144.11円
予知保全の世界市場規模調査・予測、コンポーネント別、展開モデル別、組織規模別、業界別、地域別分析、2023～2030年
出版日: 2024年04月13日
発行: Bizwit Research & Consulting LLP
ページ情報: 英文 200 Pages
納期: 2～3営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界の予知保全市場は、2022年に約54億5,000万米ドルとなり、予測期間の2023年から2030年には30.90%以上の健全な成長率で成長すると予測されています。

予知保全は、機器が故障する前にそれを予知して軽減し、それによって業務効率を最適化してダウンタイムを削減するために、組織が採用するプロアクティブな保全戦略です。このアプローチは、高度なデータ分析、機械学習アルゴリズム、センサー技術に依存し、機械の状態を監視し、過去の性能データとリアルタイムの運転パラメーターに基づいて潜在的な故障や障害を予測します。予知保全の応用範囲は、製造、輸送、エネルギー、ヘルスケアなど、さまざまな業界に及びます。機器の健全性と性能指標を継続的に監視することで、組織は、差し迫った故障や資産状態の劣化を示すパターンや異常を特定することができます。これにより、定期的なメンテナンス活動、部品交換、是正処置によるタイムリーな介入が可能になり、コストのかかる故障の防止、生産の中断の最小化、重要な資産の寿命延長が実現します。さらに、産業用モノのインターネット（IIoT）の採用拡大、資産パフォーマンス管理への注目の高まり、リアクティブメンテナンスからプロアクティブメンテナンスへのシフトの高まりは、予測期間の2023年から2030年の間に市場に有利な需要を生み出すと予想されます。

さらに、産業環境におけるIIoTデバイスと接続ソリューションの普及により、設備や機械から膨大な量のリアルタイムデータの収集が容易になりました。このデータを予測分析と状態監視に活用することで、事前予防的な保全活動が可能になり、予知保全市場の成長を促進しています。2021年、世界のモノのインターネット（IIoT）市場は2,635億2,000万米ドルとなり、2028年までには2兆1,887億3,000万米ドルに達すると予測されています。その結果、IIoTの採用拡大が市場成長をサポートすると予想されます。さらに、センサー技術、IoTデバイス、クラウドコンピューティング、機械学習アルゴリズムの進歩、工業化の進展は、市場成長にとって有利な機会を生み出すと予測されます。しかし、初期導入コストの高さ、熟練労働力の不十分さが、2023年から2030年の予測期間を通じて市場成長を阻害します。

予知保全の世界市場調査において考慮した主要地域は、アジア太平洋、北米、欧州、ラテンアメリカ、中東・アフリカです。北米は、IoTとセンサー技術の採用の増加、予知保全に対する意識の高まり、インダストリー4.0とデジタルトランスフォーメーションイニシアチブの台頭、データ分析と機械学習の進歩により、2022年の市場シェアで最大を占めました。一方、アジア太平洋は、製造業、エネルギー、輸送、ヘルスケアなど様々な産業で産業用IoTとセンサー技術が急速に採用されていること、インダストリー4.0を推進する政府の取り組み、データ分析とAI技術の進歩の高まり、同地域の製造業とインフラ部門の拡大などの要因により、予測期間中に最も速い成長率で成長すると予測されています。

本調査の目的は、近年のさまざまなセグメントと国の市場規模を定義し、今後数年間の値を予測することです。本レポートは、調査対象国における産業の質的・量的側面の両方を盛り込むよう設計されています。

また、市場の将来的な成長を規定する促進要因や課題などの重要な側面に関する詳細情報も提供しています。さらに、主要企業の競合情勢や製品提供の詳細な分析とともに、利害関係者が投資するためのミクロ市場における潜在的な機会も組み込んでいます。

目次

第1章 エグゼクティブサマリー

第2章 世界の予知保全市場の定義と範囲

  • 調査目的
  • 市場の定義と範囲
    • 業界の進化
    • 調査範囲
  • 調査対象年
  • 通貨換算レート

第3章 世界の予知保全市場力学

  • 予知保全市場の影響分析（2020～2030年）
    • 市場促進要因
      • 産業用モノのインターネット（IIoT）の採用拡大
      • 資産パフォーマンス管理への注目の高まり
      • リアクティブメンテナンスからプロアクティブメンテナンスへのシフトの高まり
    • 市場の課題
      • 初期導入コストの高さ
      • 熟練労働者の不足
    • 市場機会
      • センサー技術、IoTデバイス、クラウドコンピューティング、機械学習アルゴリズムの進歩
      • 工業化の進展

第4章 予知保全の世界市場：産業分析

  • ポーターのファイブフォースモデル
    • 供給企業の交渉力
    • 買い手の交渉力
    • 新規参入業者の脅威
    • 代替品の脅威
    • 競争企業間の敵対関係
  • ポーターのファイブフォース影響分析
  • PEST分析
    • 政治的
    • 経済
    • 社会
    • 技術
    • 環境
    • 法律
  • 主要な投資機会
  • 主要成功戦略
  • COVID-19影響分析
  • 破壊的動向
  • 業界専門家の視点
  • アナリストの結論・提言

第5章 予知保全の世界市場：コンポーネント別

  • 市場スナップショット
  • 予知保全の世界市場：コンポーネント別、実績 - ポテンシャル分析
  • 予知保全の世界市場推定・予測：コンポーネント別、2020～2030年
  • 予知保全市場、サブセグメント分析
    • ソリューション
    • サービス

第6章 予知保全の世界市場：展開モデル別

  • 市場スナップショット
  • 予知保全の世界市場：展開モデル別、実績 - ポテンシャル分析
  • 予知保全の世界市場推定・予測：展開モデル別、2020～2030年
  • 予知保全市場、サブセグメント分析
    • クラウド
    • オンプレミス

第7章 予知保全の世界市場：組織規模別

  • 市場スナップショット
  • 予知保全の世界市場：組織規模別、実績 - ポテンシャル分析
  • 予知保全の世界市場規模推定・予測：組織規模別、2020～2030年
  • 予知保全市場、サブセグメント分析
    • 大企業
    • 中小企業

第8章 予知保全市場：業界別

  • 市場スナップショット
  • 予知保全の世界市場：業界別、実績 - ポテンシャル分析
  • 予知保全の世界市場推定・予測：業界別、2020～2030年
  • 予知保全市場、サブセグメント分析
    • 政府・防衛
    • 製造業
    • エネルギー・公益事業
    • 運輸・物流
    • ヘルスケア・ライフサイエンス

第9章 予知保全の世界市場、地域分析

  • 主要国
  • 主要な新興国
  • 予知保全市場：地域別市場スナップショット
  • 北米
    • 米国
      • コンポーネント内訳の推定・予測、2020～2030年
      • 展開モデル内訳の推定・予測、2020～2030年
      • 組織規模内訳の推定・予測、2020～2030年
      • 業界内訳の推定・予測、2020～2030年
    • カナダ
  • 欧州の予知保全市場スナップショット
    • 英国
    • ドイツ
    • フランス
    • スペイン
    • イタリア
    • その他欧州
  • アジア太平洋の予知保全市場スナップショット
    • 中国
    • インド
    • 日本
    • オーストラリア
    • 韓国
    • その他アジア太平洋
  • ラテンアメリカの予知保全市場スナップショット
    • ブラジル
    • メキシコ
  • 中東・アフリカ
    • サウジアラビア
    • 南アフリカ
    • その他中東・アフリカ

第10章 競合情報

  • 主要企業のSWOT分析
  • 主要市場戦略
  • 企業プロファイル
    • IBM Corporation
      • 主要情報
      • 概要
      • 財務（データの入手可能性によります）
      • 製品概要
      • 最近の動向
    • Microsoft Corporation
    • SAP SE
    • Schneider Electric SE
    • Hitachi, Ltd.
    • SAS Institute, Inc.
    • Oracle Corporation
    • Siemens AG
    • Axiomtek Co., Ltd.
    • Banner Engineering Corp.

第11章 調査プロセス

  • 調査プロセス
    • データマイニング
    • 分析
    • 市場推定
    • 検証
    • 出版
  • 調査属性
  • 調査前提条件
図表

LIST OF TABLES

  • TABLE 1.Global Predictive Maintenance Market, report scope
  • TABLE 2.Global Predictive Maintenance Market estimates & forecasts by Region 2020-2030 (USD Billion)
  • TABLE 3.Global Predictive Maintenance Market estimates & forecasts by Component 2020-2030 (USD Billion)
  • TABLE 4.Global Predictive Maintenance Market estimates & forecasts by Deployment Model 2020-2030 (USD Billion)
  • TABLE 5.Global Predictive Maintenance Market estimates & forecasts by Organization Size 2020-2030 (USD Billion)
  • TABLE 6.Global Predictive Maintenance Market estimates & forecasts by Industry Vertical 2020-2030 (USD Billion)
  • TABLE 7.Global Predictive Maintenance Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 8.Global Predictive Maintenance Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 9.Global Predictive Maintenance Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 10.Global Predictive Maintenance Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 11.Global Predictive Maintenance Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 12.Global Predictive Maintenance Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 13.Global Predictive Maintenance Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 14.Global Predictive Maintenance Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 15.Global Predictive Maintenance Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 16.Global Predictive Maintenance Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 17.U.S. Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 18.U.S. Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 19.U.S. Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 20.Canada Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 21.Canada Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 22.Canada Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 23.UK Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 24.UK Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 25.UK Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 26.Germany Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 27.Germany Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 28.Germany Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 29.France Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 30.France Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 31.France Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 32.Italy Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 33.Italy Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 34.Italy Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 35.Spain Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 36.Spain Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 37.Spain Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 38.RoE Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 39.RoE Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 40.RoE Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 41.China Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 42.China Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 43.China Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 44.India Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 45.India Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 46.India Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 47.Japan Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 48.Japan Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 49.Japan Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 50.South Korea Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 51.South Korea Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 52.South Korea Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 53.Australia Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 54.Australia Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 55.Australia Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 56.RoAPAC Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 57.RoAPAC Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 58.RoAPAC Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 59.Brazil Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 60.Brazil Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 61.Brazil Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 62.Mexico Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 63.Mexico Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 64.Mexico Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 65.RoLA Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 66.RoLA Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 67.RoLA Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 68.Saudi Arabia Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 69.South Africa Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 70.RoMEA Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 71.List of secondary sources, used in the study of global Predictive Maintenance Market
  • TABLE 72.List of primary sources, used in the study of global Predictive Maintenance Market
  • TABLE 73.Years considered for the study
  • TABLE 74.Exchange rates considered

List of tables and figures and dummy in nature, final lists may vary in the final deliverable

LIST OF FIGURES

  • FIG 1.Global Predictive Maintenance Market, research methodology
  • FIG 2.Global Predictive Maintenance Market, Market estimation techniques
  • FIG 3.Global Market size estimates & forecast methods
  • FIG 4.Global Predictive Maintenance Market, key trends 2022
  • FIG 5.Global Predictive Maintenance Market, growth prospects 2023-2030
  • FIG 6.Global Predictive Maintenance Market, porters 5 force model
  • FIG 7.Global Predictive Maintenance Market, pest analysis
  • FIG 8.Global Predictive Maintenance Market, value chain analysis
  • FIG 9.Global Predictive Maintenance Market by segment, 2020 & 2030 (USD Billion)
  • FIG 10.Global Predictive Maintenance Market by segment, 2020 & 2030 (USD Billion)
  • FIG 11.Global Predictive Maintenance Market by segment, 2020 & 2030 (USD Billion)
  • FIG 12.Global Predictive Maintenance Market by segment, 2020 & 2030 (USD Billion)
  • FIG 13.Global Predictive Maintenance Market by segment, 2020 & 2030 (USD Billion)
  • FIG 14.Global Predictive Maintenance Market, regional snapshot 2020 & 2030
  • FIG 15.North America Predictive Maintenance Market 2020 & 2030 (USD Billion)
  • FIG 16.Europe Predictive Maintenance Market 2020 & 2030 (USD Billion)
  • FIG 17.Asia pacific Predictive Maintenance Market 2020 & 2030 (USD Billion)
  • FIG 18.Latin America Predictive Maintenance Market 2020 & 2030 (USD Billion)
  • FIG 19.Middle East & Africa Predictive Maintenance Market 2020 & 2030 (USD Billion)

List of tables and figures and dummy in nature, final lists may vary in the final deliverable

目次

Global Predictive Maintenance Market is valued approximately at USD 5.45 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 30.90% over the forecast period 2023-2030. Predictive Maintenance is a proactive maintenance strategy employed by organizations to anticipate and mitigate equipment failures before they occur, thereby optimizing operational efficiency and reducing downtime. This approach relies on advanced data analytics, machine learning algorithms, and sensor technologies to monitor the condition of machinery and predict potential faults or failures based on historical performance data and real-time operational parameters. The application of Predictive Maintenance spans various industries, including manufacturing, transportation, energy, and healthcare, among others. By continuously monitoring equipment health and performance metrics, organizations can identify patterns and anomalies indicative of impending failures or degradation in asset condition. This enables timely intervention through scheduled maintenance activities, part replacement, or corrective actions, thereby preventing costly breakdowns, minimizing production disruptions, and extending the lifespan of critical assets. Moreover, the growing adoption industrial internet of things (IIoT), increasing focus on asset performance management, and rising shift from reactive to proactive maintenance are anticipated to create the lucrative demand for the market during forecast period 2023-2030.

Additionally, the proliferation of IIoT devices and connectivity solutions in industrial settings has facilitated the collection of vast amounts of real-time data from equipment and machinery. This data can be leveraged for predictive analytics and condition monitoring, enabling proactive maintenance actions, driving the growth of the Predictive Maintenance market. In 2021, the global industrial internet of things (IIoT) market was valued USD 263.52 billion and it is anticipated to reach USD 2,188.73 billion by 2028. Aa a result, the growing adoption of IIoT is anticipated to support the market growth. Moreover, the growing advancement in sensor technology, IoT devices, cloud computing, and machine learning algorithms, and growing industrialization are anticipated to create lucrative opportunity for the market growth. However, the high initial implementing costs, and inadequate availability of skilled workforce stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Predictive Maintenance Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 with largest market share owing to the increasing adoption of IOT and sensor technologies, growing awareness of predictive maintenance, rise of industry 4.0 and digital transformation initiatives, and advancement in data analytics and machine learning. Whereas, the Asia Pacific region is expected to grow with the fastest growth rate during the forecast period, owing to factors such as the rapid adoption of industrial IoT and sensor technologies across various industries such as manufacturing, energy, transportation, and healthcare, government initiatives promoting industry 4.0, growing advancements in data analytics and ai technologies, and expansion of manufacturing and infrastructure sectors in the region.

Major market players included in this report are:

  • IBM Corporation
  • Microsoft Corporation
  • SAP SE
  • Schneider Electric SE
  • Hitachi, Ltd.
  • SAS Institute, Inc.
  • Oracle Corporation
  • Siemens AG
  • Axiomtek Co., Ltd.
  • Banner Engineering Corp.

Recent Developments in the Market:

  • In April 2023, TrendMiner has unveiled an upgraded version of its predictive maintenance software, named the Digital Twin Manager. This latest version boasts improved compatibility with cloud data sources from leading providers like AWS and Microsoft. Additionally, it introduces interactive search capabilities, empowering users to glean insights from data swiftly and make informed decisions with heightened efficiency.
  • In May 2023, Cisco Systems, Inc. and NTT, a leading provider of telecom infrastructure services, have joined forces to co-create a suite of solutions aimed at delivering real-time data insights, bolstering decision-making processes, and fortifying security measures. Leveraging predictive maintenance, supply chain management, and asset tracking capabilities, this collaboration aims to empower organizations with advanced tools for optimizing operations and safeguarding critical assets.

Global Predictive Maintenance Market Report Scope:

  • Historical Data - 2020 - 2021
  • Base Year for Estimation - 2022
  • Forecast period - 2023-2030
  • Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
  • Segments Covered - Component, Deployment Model, Organization Size, Industry Vertical, Region
  • Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
  • Customization Scope - Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:

  • Solutions
  • Services

By Deployment Model:

  • Cloud
  • On-premise

By Organization Size:

  • Large Enterprises
  • Small and Medium-sized Enterprises

By Industry Vertical:

  • Government & Defense
  • Manufacturing
  • Energy & Utilities
  • Transportation & Logistics
  • Healthcare & Life Sciences

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa

Table of Contents

Chapter 1.Executive Summary

  • 1.1.Market Snapshot
  • 1.2.Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
    • 1.2.1.Predictive Maintenance Market, by region, 2020-2030 (USD Billion)
    • 1.2.2.Predictive Maintenance Market, by Component, 2020-2030 (USD Billion)
    • 1.2.3.Predictive Maintenance Market, by Deployment Model, 2020-2030 (USD Billion)
    • 1.2.4.Predictive Maintenance Market, by Organization Size, 2020-2030 (USD Billion)
    • 1.2.5.Predictive Maintenance Market, by Industry Vertical, 2020-2030 (USD Billion)
  • 1.3.Key Trends
  • 1.4.Estimation Methodology
  • 1.5.Research Assumption

Chapter 2.Global Predictive Maintenance Market Definition and Scope

  • 2.1.Objective of the Study
  • 2.2.Market Definition & Scope
    • 2.2.1.Industry Evolution
    • 2.2.2.Scope of the Study
  • 2.3.Years Considered for the Study
  • 2.4.Currency Conversion Rates

Chapter 3.Global Predictive Maintenance Market Dynamics

  • 3.1.Predictive Maintenance Market Impact Analysis (2020-2030)
    • 3.1.1.Market Drivers
      • 3.1.1.1.Growing adoption industrial internet of things (IIoT)
      • 3.1.1.2.Increasing focus on asset performance management
      • 3.1.1.3.Rising shift from reactive to proactive maintenance
    • 3.1.2.Market Challenges
      • 3.1.2.1.High initial implementation costs
      • 3.1.2.2.Inadequate availability of skilled workforce
    • 3.1.3.Market Opportunities
      • 3.1.3.1.Advancement in sensor technology, IoT devices, cloud computing, and machine learning algorithms
      • 3.1.3.2.Growing industrialization

Chapter 4.Global Predictive Maintenance Market: Industry Analysis

  • 4.1.Porter's 5 Force Model
    • 4.1.1.Bargaining Power of Suppliers
    • 4.1.2.Bargaining Power of Buyers
    • 4.1.3.Threat of New Entrants
    • 4.1.4.Threat of Substitutes
    • 4.1.5.Competitive Rivalry
  • 4.2.Porter's 5 Force Impact Analysis
  • 4.3.PEST Analysis
    • 4.3.1.Political
    • 4.3.2.Economic
    • 4.3.3.Social
    • 4.3.4.Technological
    • 4.3.5.Environmental
    • 4.3.6.Legal
  • 4.4.Top investment opportunity
  • 4.5.Top winning strategies
  • 4.6.COVID-19 Impact Analysis
  • 4.7.Disruptive Trends
  • 4.8.Industry Expert Perspective
  • 4.9.Analyst Recommendation & Conclusion

Chapter 5.Global Predictive Maintenance Market, by Component

  • 5.1.Market Snapshot
  • 5.2.Global Predictive Maintenance Market by Component, Performance - Potential Analysis
  • 5.3.Global Predictive Maintenance Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
  • 5.4.Predictive Maintenance Market, Sub Segment Analysis
    • 5.4.1.Solutions
    • 5.4.2.Services

Chapter 6.Global Predictive Maintenance Market, by Deployment Model

  • 6.1.Market Snapshot
  • 6.2.Global Predictive Maintenance Market by Deployment Model, Performance - Potential Analysis
  • 6.3.Global Predictive Maintenance Market Estimates & Forecasts by Deployment Model 2020-2030 (USD Billion)
  • 6.4.Predictive Maintenance Market, Sub Segment Analysis
    • 6.4.1.Cloud
    • 6.4.2.On-premise

Chapter 7.Global Predictive Maintenance Market, by Organization Size

  • 7.1.Market Snapshot
  • 7.2.Global Predictive Maintenance Market by Organization Size, Performance - Potential Analysis
  • 7.3.Global Predictive Maintenance Market Estimates & Forecasts by Organization Size 2020-2030 (USD Billion)
  • 7.4.Predictive Maintenance Market, Sub Segment Analysis
    • 7.4.1.Large Enterprises
    • 7.4.2.Small and Medium-sized Enterprise

Chapter 8.Predictive Maintenance Market, by Industry Vertical

  • 8.1.Market Snapshot
  • 8.2.Global Predictive Maintenance Market by Industry Vertical, Performance - Potential Analysis
  • 8.3.Global Predictive Maintenance Market Estimates & Forecasts by Industry Vertical 2020-2030 (USD Billion)
  • 8.4.Predictive Maintenance Market, Sub Segment Analysis
    • 8.4.1.Government & Defense
    • 8.4.2.Manufacturing
    • 8.4.3.Energy & Utilities
    • 8.4.4.Transportation & Logistics
    • 8.4.5.Healthcare & Life Sciences

Chapter 9.Global Predictive Maintenance Market, Regional Analysis

  • 9.1.Top Leading Countries
  • 9.2.Top Emerging Countries
  • 9.3.Predictive Maintenance Market, Regional Market Snapshot
  • 9.4.North America Predictive Maintenance Market
    • 9.4.1.U.S. Predictive Maintenance Market
      • 9.4.1.1.Component breakdown estimates & forecasts, 2020-2030
      • 9.4.1.2.Deployment Model breakdown estimates & forecasts, 2020-2030
      • 9.4.1.3.Organization Size breakdown estimates & forecasts, 2020-2030
      • 9.4.1.4.Industry Vertical breakdown estimates & forecasts, 2020-2030
    • 9.4.2.Canada Predictive Maintenance Market
  • 9.5.Europe Predictive Maintenance Market Snapshot
    • 9.5.1.U.K. Predictive Maintenance Market
    • 9.5.2.Germany Predictive Maintenance Market
    • 9.5.3.France Predictive Maintenance Market
    • 9.5.4.Spain Predictive Maintenance Market
    • 9.5.5.Italy Predictive Maintenance Market
    • 9.5.6.Rest of Europe Predictive Maintenance Market
  • 9.6.Asia-Pacific Predictive Maintenance Market Snapshot
    • 9.6.1.China Predictive Maintenance Market
    • 9.6.2.India Predictive Maintenance Market
    • 9.6.3.Japan Predictive Maintenance Market
    • 9.6.4.Australia Predictive Maintenance Market
    • 9.6.5.South Korea Predictive Maintenance Market
    • 9.6.6.Rest of Asia Pacific Predictive Maintenance Market
  • 9.7.Latin America Predictive Maintenance Market Snapshot
    • 9.7.1.Brazil Predictive Maintenance Market
    • 9.7.2.Mexico Predictive Maintenance Market
  • 9.8.Middle East & Africa Predictive Maintenance Market
    • 9.8.1.Saudi Arabia Predictive Maintenance Market
    • 9.8.2.South Africa Predictive Maintenance Market
    • 9.8.3.Rest of Middle East & Africa Predictive Maintenance Market

Chapter 10.Competitive Intelligence

  • 10.1.Key Company SWOT Analysis
  • 10.2.Top Market Strategies
  • 10.3.Company Profiles
    • 10.3.1.IBM Corporation
      • 10.3.1.1.Key Information
      • 10.3.1.2.Overview
      • 10.3.1.3.Financial (Subject to Data Availability)
      • 10.3.1.4.Product Summary
      • 10.3.1.5.Recent Developments
    • 10.3.2.Microsoft Corporation
    • 10.3.3.SAP SE
    • 10.3.4.Schneider Electric SE
    • 10.3.5.Hitachi, Ltd.
    • 10.3.6.SAS Institute, Inc.
    • 10.3.7.Oracle Corporation
    • 10.3.8.Siemens AG
    • 10.3.9.Axiomtek Co., Ltd.
    • 10.3.10.Banner Engineering Corp.

Chapter 11.Research Process

  • 11.1.Research Process
    • 11.1.1.Data Mining
    • 11.1.2.Analysis
    • 11.1.3.Market Estimation
    • 11.1.4.Validation
    • 11.1.5.Publishing
  • 11.2.Research Attributes
  • 11.3.Research Assumption