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市場調査レポート

予知保全 (PM) の世界市場 - 2024年までの予測:ソリューション、サービス

Predictive Maintenance Market by Component (Solutions and Services), Deployment Mode, Organization Size, Vertical (Government and Defense, Manufacturing, Energy and Utilities, Transportation and Logistics), and Region - Global Forecast to 2024

発行 MarketsandMarkets 商品コード 354175
出版日 ページ情報 英文 145 Pages
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予知保全 (PM) の世界市場 - 2024年までの予測:ソリューション、サービス Predictive Maintenance Market by Component (Solutions and Services), Deployment Mode, Organization Size, Vertical (Government and Defense, Manufacturing, Energy and Utilities, Transportation and Logistics), and Region - Global Forecast to 2024
出版日: 2019年06月18日 ページ情報: 英文 145 Pages
概要

世界の予知保全 (PM) 市場は、2019年の30億米ドルから、2024年までに107億米ドルまで拡大すると見られています。市場は、2019年~2024年のCAGR (複合年間成長率) で、28.8%の成長が予測されています。

当レポートでは、世界の予知保全 (PM) 市場について調査分析し、市場概要、産業動向、セグメント別の市場分析、競合情勢、主要企業などについて、体系的な情報を提供しています。

354175_4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE PREDICTIVE MAINTENANCE MARKET_FIGURE 10

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 重要考察

  • 予知保全 (PM) 市場の魅力的な市場機会
  • 予知保全 (PM) 市場:3大産業分野
  • 予知保全 (PM) 市場:地域別
  • 北米の予知保全 (PM) 市場:コンポーネント別、展開モード別

第5章 市場概要と産業動向

  • イントロダクション
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
    • 課題
  • ユースケース
  • 規制の影響

第6章 予知保全 (PM) の世界市場:コンポーネント別

  • イントロダクション
  • ソリューション
  • サービス

第7章 予知保全 (PM) の世界市場:展開モード別

  • イントロダクション
  • クラウド
  • オンプレミス

第8章 予知保全 (PM) の世界市場:組織規模別

  • イントロダクション
  • 大企業
  • 中小企業

第9章 予知保全 (PM) の世界市場:産業分野別

  • イントロダクション
  • 政府・防衛
  • 製造
  • エネルギー・ユーティリティ
  • 輸送・物流
  • 医療・ライフサイエンス
  • その他

第10章 予知保全 (PM) の世界市場:地域別

  • イントロダクション
  • 北米
  • 欧州
  • アジア太平洋地域
  • 中東・アフリカ
  • ラテンアメリカ

第11章 競合情勢

  • 概要
  • 競合リーダーシップマッピング
  • 製品ポートフォリオの強み
  • 事業戦略の優秀性

第12章 企業プロファイル

  • イントロダクション
  • IBM
  • MICROSOFT
  • SAP
  • GE
  • SCHNEIDER ELECTRIC
  • 日立製作所
  • PTC
  • SOFTWARE AG
  • SAS
  • TIBCO
  • C3 IOT
  • UPTAKE
  • SOFTWEB SOLUTIONS
  • ASYSTOM
  • ECOLIBRIUM ENERGY
  • FIIX
  • OPEX GROUP
  • DINGO
  • SIGMA INDUSTRIAL PRECISION

第13章 付録

図表

LIST OF TABLES

  • TABLE 1: UNITED STATES DOLLAR EXCHANGE RATE, 2015-2017
  • TABLE 2: FACTOR ANALYSIS
  • TABLE 3: GLOBAL PREDICTIVE MAINTENANCE MARKET SIZE AND GROWTH RATE, 2017-2024 (USD MILLION, Y-O-Y %)
  • TABLE 4: PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 5: SOLUTIONS: PREDICTIVE MAINTENANCE MARKET SIZE, BY TYPE, 2017-2024 (USD MILLION)
  • TABLE 6: SERVICES: PREDICTIVE MAINTENANCE MARKET SIZE, BY TYPE, 2017-2024 (USD MILLION)
  • TABLE 7: PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 8: PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2017-2024 (USD MILLION)
  • TABLE 9: PREDICTIVE MAINTENANCE MARKET SIZE, BY VERTICAL, 2017-2024 (USD MILLION)
  • TABLE 10: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2017-2024 (USD MILLION)
  • TABLE 11: NORTH AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 12: NORTH AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY SOLUTION, 2017-2024 (USD MILLION)
  • TABLE 13: NORTH AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 14: NORTH AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 15: NORTH AMERICA: PREDICTIVE MAINTENANCE MARKET BY ORGANIZATION SIZE, 2017-2024 (USD MILLION)
  • TABLE 16: NORTH AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY VERTICAL, 2017-2024 (USD MILLION)
  • TABLE 17: NORTH AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2017-2024 (USD MILLION)
  • TABLE 18: EUROPE: PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 19: EUROPE: PREDICTIVE MAINTENANCE MARKET SIZE, BY SOLUTION, 2017-2024 (USD MILLION)
  • TABLE 20: EUROPE: PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 21: EUROPE: PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 22: EUROPE: PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2017-2024 (USD MILLION)
  • TABLE 23: EUROPE: PREDICTIVE MAINTENANCE MARKET SIZE, BY VERTICAL, 2017-2024 (USD MILLION)
  • TABLE 24: EUROPE: PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2017-2024 (USD MILLION)
  • TABLE 25: ASIA PACIFIC: PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 26: ASIA PACIFIC: PREDICTIVE MAINTENANCE MARKET SIZE, BY SOLUTION, 2017-2024 (USD MILLION)
  • TABLE 27: ASIA PACIFIC: PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 28: ASIA PACIFIC: PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 29: ASIA PACIFIC: PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2017-2024 (USD MILLION)
  • TABLE 30: ASIA PACIFIC: PREDICTIVE MAINTENANCE MARKET SIZE, BY VERTICAL, 2017-2024 (USD MILLION)
  • TABLE 31: ASIA PACIFIC: PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2017-2024 (USD MILLION)
  • TABLE 32: MIDDLE EAST AND AFRICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 33: MIDDLE EAST AND AFRICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY SOLUTION, 2017-2024 (USD MILLION)
  • TABLE 34: MIDDLE EAST AND AFRICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 35: MIDDLE EAST AND AFRICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 36: MIDDLE EAST AND AFRICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2017-2024 (USD MILLION)
  • TABLE 37: MIDDLE EAST AND AFRICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY VERTICAL, 2017-2024 (USD MILLION)
  • TABLE 38: MIDDLE EAST AND AFRICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2017-2024 (USD MILLION)
  • TABLE 39: LATIN AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 40: LATIN AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY SOLUTION, 2017-2024 (USD MILLION)
  • TABLE 41: LATIN AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 42: LATIN AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 43: LATIN AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2017-2024 (USD MILLION)
  • TABLE 44: LATIN AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY VERTICAL, 2017-2024 (USD MILLION)
  • TABLE 45: LATIN AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2017-2024 (USD MILLION)

LIST OF FIGURES

  • FIGURE 1: GLOBAL PREDICTIVE MAINTENANCE MARKET: RESEARCH DESIGN
  • FIGURE 2: PREDICTIVE MAINTENANCE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 3: PREDICTIVE MAINTENANCE MARKET SNAPSHOT, BY COMPONENT
  • FIGURE 4: PREDICTIVE MAINTENANCE MARKET SNAPSHOT, BY SOLUTION
  • FIGURE 5: PREDICTIVE MAINTENANCE MARKET SNAPSHOT, BY SERVICE
  • FIGURE 6: PREDICTIVE MAINTENANCE MARKET SNAPSHOT, BY DEPLOYMENT MODE
  • FIGURE 7: PREDICTIVE MAINTENANCE MARKET SNAPSHOT, BY ORGANIZATION SIZE
  • FIGURE 8: PREDICTIVE MAINTENANCE MARKET SNAPSHOT, BY VERTICAL
  • FIGURE 9: PREDICTIVE MAINTENANCE MARKET SNAPSHOT, BY REGION
  • FIGURE 10: REAL-TIME CONDITIONING MONITORING TO TAKE PROMPT ACTION IS ONE OF THE MAJOR FACTORS DRIVING THE OVERALL GROWTH OF THE PREDICTIVE MAINTENANCE MARKET DURING THE FORECAST PERIOD
  • FIGURE 11: ENERGY AND UTILITIES VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 12: NORTH AMERICA TO HOLD THE HIGHEST MARKET SHARE IN 2019
  • FIGURE 13: SOLUTIONS COMPONENT AND ON-PREMISES DEPLOYMENT MODE IN NORTH AMERICA ACCOUNTED FOR THE HIGHEST SHARES IN THE PREDICTIVE MAINTENANCE MARKET IN 2019
  • FIGURE 14: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: PREDICTIVE MAINTENANCE MARKET
  • FIGURE 15: SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 16: STANDALONE SOLUTION SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 17: SUPPORT AND MAINTENANCE SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 18: CLOUD SEGMENT TO WITNESS A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 19: SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 20: ENERGY AND UTILITIES VERTICAL TO WITNESS THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 21: NORTH AMERICA TO HOLD THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
  • FIGURE 22: JAPAN TO HOLD THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 23: ASIA PACIFIC TO HOLD THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 24: NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 25: ENERGY AND UTILITIES TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 26: ENERGY AND UTILITIES VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD IN EUROPE
  • FIGURE 27: ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 28: ENERGY AND UTILITIES VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD IN ASIA PACIFIC
  • FIGURE 29: ENERGY AND UTILITIES VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD IN MIDDLE EAST AND AFRICA
  • FIGURE 30: ENERGY AND UTILITIES VERTICAL TO GROW AT HIGHEST CAGR DURING THE FORECAST PERIOD IN LATIN AMERICA
  • FIGURE 31: PREDICTIVE MAINTENANCE MARKET (GLOBAL), COMPETITIVE LEADERSHIP MAPPING, 2018
  • FIGURE 32: KEY PLAYERS OF THE PREDICTIVE MAINTENANCE MARKET, 2018
  • FIGURE 33: PREDICTIVE MAINTENANCE MARKET (GLOBAL), COMPETITIVE LEADERSHIP MAPPING, FOR STARTUPS, 2018
  • FIGURE 34: IBM: COMPANY SNAPSHOT
  • FIGURE 35: SWOT ANALYSIS: IBM
  • FIGURE 36: MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 37: SWOT ANALYSIS: MICROSOFT
  • FIGURE 38: SAP: COMPANY SNAPSHOT
  • FIGURE 39: SWOT ANALYSIS: SAP
  • FIGURE 40: GE: COMPANY SNAPSHOT
  • FIGURE 41: SWOT ANALYSIS: GE
  • FIGURE 42: SCHNEIDER ELECTRIC: COMPANY SNAPSHOT
  • FIGURE 43: SWOT ANALYSIS: SCHNEIDER ELECTRIC
  • FIGURE 44: HITACHI: COMPANY SNAPSHOT
  • FIGURE 45: PTC: COMPANY SNAPSHOT
  • FIGURE 46: SOFTWARE AG: COMPANY SNAPSHOT
目次
Product Code: TC 4154

"The global predictive maintenance Market size to grow at a Compound Annual Growth Rate (CAGR) of 28.8% during the forecast period"

MarketsandMarkets forecasts the global predictive maintenance market size to grow from USD 3.0 billion in 2019 to USD 10.7 billion by 2024, at a CAGR of 28.8% during 2019-2024. The major growth drivers of the predictive maintenance market include the increasing use of emerging technologies to gain valuable insights. Lack of skilled workforce may restrain the growth of the predictive maintenance market.

The services segment to grow at a higher CAGR during the forecast period

The predictive maintenance market is segmented on the basis of components, such as solutions and services. The services segment is expected to grow at a rapid pace during the forecast period. An efficient predictive maintenance service help organizations develop a connected environment by integrating predictive maintenance solution with their existing IT infrastructure.

The energy and utilities segment to grow at the highest CAGR during the forecast period

The predictive maintenance market by vertical has been segmented into government and defense, manufacturing, energy and utilities, transportation and logistics, health and life sciences and others (agriculture, telecom, media, and retail). The energy and utilities segment to grow at the highest CAGR during the forecast period, due to the growing demand for automated of power-usage analytics applications.

Among regions, Asia Pacific (APAC) to grow at the highest CAGR during the forecast period

APAC is expected to grow at the highest CAGR during the forecast period. The increasing investments by the tech companies in major APAC countries, such as China, and Japan, increasing government regulations and initiatives are expected to drive the growth of the market in APAC.

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the predictive maintenance market.

  • By Company: Tier I: 15%, Tier II: 42%, and Tier III: 43%
  • By Designation: C-Level: 62%, Director-Level: 20%, and Others: 18%
  • By Region: North America: 40%, APAC: 30%, Europe: 20%, MEA: 5%, and Latin America: 5%

The report includes the study of the key players offering predictive maintenance solutions and services. It profiles major vendors in the global predictive maintenance market. The major vendors include IBM (US), Microsoft (US), SAP (Germany), GE (US), Schneider Electric (France), Hitachi (Japan), PTC (US), Software AG (Germany), SAS (US), TIBCO (US), C3 IoT (US), Uptake (US), Softweb Solutions (US), Asystom (France), Ecolibrium Energy (India), Fiix (Canada), OPEX Group (UK), Dingo (Australia), Sigma Industrial Precision (Spain). It also includes an in-depth competitive analysis of the key players in the predictive maintenance market, along with their company profiles, business overviews, product offerings, recent developments, and market strategies.

Research Coverage:

The report segments the global predictive maintenance market by component, solution, service, deployment mode, organization size, and region. The predictive maintenance market by vertical is divided into government and defense, manufacturing, energy and utilities, transportation and logistics, health and life sciences and others (agriculture, telecom, media, and retail) categories. The component segment comprises solutions and services. The solutions segment is further segmented into integrated solutions and standalone solutions. The services segment is divided into system integration, support and maintenance, and consulting services. The predictive maintenance market by deployment mode is segmented into cloud and on-premises. Based on organization size, the predictive maintenance market is divided into large enterprises and Small and Medium-sized Enterprises (SMEs). The report also covers the predictive maintenance market with respect to five major regions: North America, Europe, APAC, Latin America, and the Middle East & Africa (MEA).

The report will help the market leaders and new entrants in the global predictive maintenance market in the following ways:

  • 1. The report segments the market into various subsegments; hence, it covers the market comprehensively. It provides the closest approximations of the revenue numbers for the overall market and its subsegments. The market numbers are split further across verticals and regions.
  • 2. It helps in understanding the overall growth of the market. It also provides information about key market drivers, restraints, challenges, and opportunities.
  • 3. It helps stakeholders in understanding their competitors better and gaining more insights to strengthen their positions in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. OBJECTIVES OF THE STUDY
  • 1.2. MARKET DEFINITION
  • 1.3. MARKET SCOPE
    • 1.3.1. MARKET SEGMENTATION
    • 1.3.2. REGIONS COVERED
  • 1.4. YEARS CONSIDERED FOR THE STUDY
  • 1.5. CURRENCY CONSIDERED
  • 1.6. STAKEHOLDERS

2. RESEARCH METHODOLOGY

  • 2.1. RESEARCH DATA
    • 2.1.1. SECONDARY DATA
    • 2.1.2. PRIMARY DATA
      • 2.1.2.1. Breakup of primary profiles
      • 2.1.2.2. Key industry insights
  • 2.2. MARKET BREAKUP AND DATA TRIANGULATION
  • 2.3. MARKET SIZE ESTIMATION
    • 2.3.1. TOP-DOWN APPROACH
    • 2.3.2. BOTTOM-UP APPROACH
  • 2.4. MARKET FORECAST
  • 2.5. ASSUMPTIONS FOR THE STUDY
  • 2.6. LIMITATIONS OF THE STUDY

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. ATTRACTIVE MARKET OPPORTUNITIES IN THE PREDICTIVE MAINTENANCE MARKET
  • 4.2. PREDICTIVE MAINTENANCE MARKET: TOP 3 VERTICALS
  • 4.3. PREDICTIVE MAINTENANCE MARKET: BY REGION
  • 4.4. PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COMPONENT AND DEPLOYMENT MODE

5. MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1. INTRODUCTION
  • 5.2. MARKET DYNAMICS
    • 5.2.1. DRIVERS
      • 5.2.1.1. Increasing use of emerging technologies to gain valuable insights
      • 5.2.1.2. Growing need to reduce maintenance cost and downtime
    • 5.2.2. RESTRAINTS
      • 5.2.2.1. Lack of skilled workforce
    • 5.2.3. OPPORTUNITIES
      • 5.2.3.1. Real-time condition monitoring to assist in taking prompt actions
    • 5.2.4. CHALLENGES
      • 5.2.4.1. Companies' concern over data security and privacy issues
      • 5.2.4.2. Frequent maintenance and upgradation requirement to keep systems updated
  • 5.3. USE CASES
    • 5.3.1. INTRODUCTION
      • 5.3.1.1. Use case: Scenario 1
      • 5.3.1.2. Use case: Scenario 2
      • 5.3.1.3. Use case: Scenario 3
      • 5.3.1.4. Use case: Scenario 4
      • 5.3.1.5. Use case: Scenario 5
  • 5.4. REGULATORY IMPLICATIONS
    • 5.4.1. INTRODUCTION
    • 5.4.2. GENERAL DATA PROTECTION REGULATION
    • 5.4.3. HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
    • 5.4.4. FEDERAL TRADE COMMISSION
    • 5.4.5. FEDERAL COMMUNICATIONS COMMISSION
    • 5.4.6. ISO/IEC STANDARDS
      • 5.4.6.1. ISO 55000 STANDARDS
      • 5.4.6.2. ISO 13374 on condition monitoring and diagnostics of machines
      • 5.4.6.3. ISO/ICE JTC 1
      • 5.4.6.4. ISO/IEC JTC 1/SC 42
      • 5.4.6.5. ISO/IEC JTC1/SC3 1
      • 5.4.6.6. ISO/IEC JTC1/SC2 7
    • 5.4.7. INDUSTRIAL INTERNET CONSORTIUM REFERENCE ARCHITECTURE
    • 5.4.8. CEN/ISO
      • 5.4.8.1. CEN/CENELEC
    • 5.4.9. NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY
    • 5.4.10. EPRIVACY
    • 5.4.11. ANSI TAPPI TIP 0305-34:2008
    • 5.4.12. MIMOSA

6. PREDICTIVE MAINTENANCE MARKET, BY COMPONENT

  • 6.1. INTRODUCTION
  • 6.2. SOLUTIONS
    • 6.2.1. INTEGRATED
      • 6.2.1.1. Growing adoption of the integrated solution as it integrates multiple capabilities within a single solution
    • 6.2.2. STANDALONE
      • 6.2.2.1. Increasing demand for advanced and vertical-focused predictive maintenance capabilities to drive the growth of standalone solutions
  • 6.3. SERVICES
    • 6.3.1. SYSTEM INTEGRATION
      • 6.3.1.1. Predictive maintenance vendors to offer system integration services to overcome system-related issues effectively
    • 6.3.2. SUPPORT AND MAINTENANCE
      • 6.3.2.1. Growing deployment of predictive maintenance solution to increase the demand for support and maintenance services
    • 6.3.3. CONSULTING
      • 6.3.3.1. Technicalities involved in implementing predictive maintenance solution to boost the growth of consulting services

7. PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE

  • 7.1. INTRODUCTION
  • 7.2. CLOUD
    • 7.2.1. BENEFITS, SUCH AS SCALABILITY AND EASE OF IMPLEMENTATION, TO BOOST THE GROWTH OF THE CLOUD DEPLOYMENT MODE
  • 7.3. ON-PREMISES
    • 7.3.1. DATA-SENSITIVE ORGANIZATIONS TO ADOPT THE ON-PREMISES DEPLOYMENT MODE FOR PREDICTIVE MAINTENANCE SOLUTIONS

8. PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE

  • 8.1. INTRODUCTION
  • 8.2. LARGE ENTERPRISES
    • 8.2.1. LARGE ENTERPRISES TO ADOPT PREDICTIVE MAINTENANCE SOLUTIONS TO OPTIMIZE OPERATIONAL MAINTENANCE PROCESSES
  • 8.3. SMALL AND MEDIUM-SIZED ENTERPRISES
    • 8.3.1. SMALL AND MEDIUM-SIZED ENTERPRISES TO ADOPT PREDICTIVE MAINTENANCE SOLUTIONS WITH RISING TECHNOLOGICAL ADVANCEMENT

9. PREDICTIVE MAINTENANCE MARKET, BY VERTICAL

  • 9.1. INTRODUCTION
  • 9.2. GOVERNMENT AND DEFENSE
    • 9.2.1. GOVERNMENT AND DEFENSE VERTICAL TO ADOPT PREDICTIVE MAINTENANCE SOLUTIONS FOR AUTOMATING THE DEFENSE SYSTEM
  • 9.3. MANUFACTURING
    • 9.3.1. GROWING NEED TO TRACK, DIAGNOSE, AND MONITOR MACHINES TO FUEL THE GROWTH OF THE PREDICTIVE MAINTENANCE APPLICATION IN THE MANUFACTURING VERTICAL
  • 9.4. ENERGY AND UTILITIES
    • 9.4.1. THE GROWING DEMAND OF POWER-USAGE ANALYTICS APPLICATIONS FUEL THE GROWTH OF ENERGY AND UTILITIES VERTICAL
  • 9.5. TRANSPORTATION AND LOGISTICS
    • 9.5.1. INCREASING NEED TO IMPROVE ASSET TRACKING AND PERFORMANCE MANAGEMENT FOR MINIMIZING RISKS LEAD TO GROWTH IN TRANSPORTATION AND LOGISTICS VERTICAL
  • 9.6. HEALTHCARE AND LIFE SCIENCES
    • 9.6.1. GROWING DEMAND FOR MONITORING PATIENT HEALTH AND PERSONALIZED TREATMENT IN REAL TIME TO FUEL THE GROWTH OF HEALTHCARE AND LIFE SCIENCES VERTICAL
  • 9.7. OTHERS

10. PREDICTIVE MAINTENANCE MARKET, BY REGION

  • 10.1. INTRODUCTION
  • 10.2. NORTH AMERICA
    • 10.2.1. UNITED STATES
      • 10.2.1.1. Need to extract maximum value from smart devices to fuel the demand for predictive maintenance solutions in the US
    • 10.2.2. CANADA
      • 10.2.2.1. Increase in investments and research activities to drive predictive maintenance adoption in Canada
  • 10.3. EUROPE
    • 10.3.1. UNITED KINGDOM
      • 10.3.1.1. Government focus on innovation and research to fuel the adoption of predictive maintenance solutions in the UK
    • 10.3.2. GERMANY
      • 10.3.2.1. Skilled workforce, strong infrastructure, and increase in investments to drive the predictive maintenance adoption in Germany
    • 10.3.3. FRANCE
      • 10.3.3.1. Focus on R&D and heavy inflow of capital from global players and investors to drive the predictive maintenance market in France
    • 10.3.4. ITALY
      • 10.3.4.1. Increasing adoption of new technologies and innovations to drive the predictive maintenance market in Italy
    • 10.3.5. REST OF EUROPE
  • 10.4. ASIA PACIFIC
    • 10.4.1. CHINA
      • 10.4.1.1. Increasing focus on integrating AI and deep learning technologies to drive the adoption of predictive maintenance solutions in China
    • 10.4.2. JAPAN
      • 10.4.2.1. Increasing government initiatives, led to the potential growth for predictive maintenance in Japan
    • 10.4.3. REST OF ASIA PACIFIC
  • 10.5. MIDDLE EAST AND AFRICA
    • 10.5.1. ISRAEL
      • 10.5.1.1. Presence of IoT and AI software vendors to lead the adoption of predictive maintenance solutions
    • 10.5.2. UAE
      • 10.5.2.1. Complex legal, regulatory, and economic resolutions to compel organizations to adopt predictive maintenance solutions
    • 10.5.3. REST OF MIDDLE EAST AND AFRICA
  • 10.6. LATIN AMERICA
    • 10.6.1. BRAZIL
      • 10.6.1.1. Brazil embraces the digital age with a shift toward Industry 4.0
    • 10.6.2. MEXICO
      • 10.6.2.1. Mexico to witness the highest growth rate in the predictive maintenance market in the coming years
    • 10.6.3. REST OF LATIN AMERICA

11. COMPETITIVE LANDSCAPE

  • 11.1. OVERVIEW
  • 11.2. COMPETITIVE LEADERSHIP MAPPING
    • 11.2.1. VISIONARIES
    • 11.2.2. INNOVATORS
    • 11.2.3. DYNAMIC DIFFERENTIATORS
    • 11.2.4. EMERGING COMPANIES
  • 11.3. STRENGTH OF PRODUCT PORTFOLIO
  • 11.4. BUSINESS STRATEGY EXCELLENCE
  • 11.5. COMPETITIVE LEADERSHIP MAPPING (START-UPS)
    • 11.5.1. PROGRESSIVE COMPANIES
    • 11.5.2. RESPONSIVE COMPANIES
    • 11.5.3. DYNAMIC COMPANIES
    • 11.5.4. STARTING BLOCKS
  • 11.6. STRENGTH OF PRODUCT PORTFOLIO (STARTUPS)
  • 11.7. BUSINESS STRATEGY EXCELLENCE (STARTUPS)

12. COMPANY PROFILES (Business Overview, Products/Services/Platforms Offered, Recent Developments, SWOT Analysis, and MnM View)*

  • 12.1. INTRODUCTION
  • 12.2. IBM
  • 12.3. MICROSOFT
  • 12.4. SAP
  • 12.5. GE
  • 12.6. SCHNEIDER ELECTRIC
  • 12.7. HITACHI
  • 12.8. PTC
  • 12.9. SOFTWARE AG
  • 12.10. SAS
  • 12.11. TIBCO
  • 12.12. C3 IOT
  • 12.13. UPTAKE
  • 12.14. SOFTWEB SOLUTIONS
  • 12.15. ASYSTOM
  • 12.16. ECOLIBRIUM ENERGY
  • 12.17. FIIX
  • 12.18. OPEX GROUP
  • 12.19. DINGO
  • 12.20. SIGMA INDUSTRIAL PRECISION

*Business Overview, Products/Services/Platforms Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.

13. APPENDIX

  • 13.1. INDUSTRY EXPERTS
  • 13.2. DISCUSSION GUIDE
  • 13.3. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 13.4. AVAILABLE CUSTOMIZATIONS
  • 13.5. RELATED REPORTS
  • 13.6. AUTHOR DETAILS
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