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市場調查報告書

即時預知保全的全球市場的預測 ∼2021年:各零組件 (解決方案、服務),組織規模,引進類型、產業、地區

Predictive Maintenance Market by Component, Deployment Type (Cloud and on-Premises), Organization Size (SMES and Enterprises), Vertical, and Region - Global Forecast to 2021

出版商 MarketsandMarkets 商品編碼 354175
出版日期 內容資訊 英文 116 Pages
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即時預知保全的全球市場的預測 ∼2021年:各零組件 (解決方案、服務),組織規模,引進類型、產業、地區 Predictive Maintenance Market by Component, Deployment Type (Cloud and on-Premises), Organization Size (SMES and Enterprises), Vertical, and Region - Global Forecast to 2021
出版日期: 2017年03月10日 內容資訊: 英文 116 Pages
簡介

全球即時預知保全的市場,預計從2016年到2021年以28.4%的年複合成長率(CAGR) 發展,從2016年的14億430萬美元,成長到2021年的49億400萬美元的規模。停機時間及維護成本的削減需求,和IoT技術預計推動即時預知保全解決方案及服務的需求。

本報告提供全球即時預知保全的全球市場調查,市場定義和概要,產業結構與價值鏈,關注的革新,影響市場成長因素及市場機會分析,各零組件、組織規模、引進類型、產業、地區的趨勢與市場規模的變化與預測,競爭環境,以及主要企業的簡介等彙整。

第1章 簡介

第2章 調查手法

第3章 摘要整理

第4章 重要考察

  • 富有魅力的市場機會
  • 保全預知市場
    • 各零件
    • 各產業、地區
  • 生命週期分析:各地區

第5章 市場概要

  • 簡介
  • 市場發展的過程
  • 市場區隔
    • 各零件
    • 各組織規模
    • 各引進類型
    • 各產業
    • 各地區
  • 市場動態
    • 促進要素
    • 阻礙要素
    • 市場機會
    • 課題
  • 關注的革新

第6章 產業趨勢

  • 簡介
  • 價值鏈分析
  • 策略基準

第7章 市場分析:各零件

  • 簡介
  • 解決方案
  • 服務
    • 系統整合
    • 訓練、支援
    • 諮詢

第8章 市場分析:各引進類型

  • 簡介
  • 雲端
  • 內部部署

第9章 市場分析:各組織規模

  • 簡介
  • 中小企業
  • 大企業

第10章 市場分析:各產業

  • 簡介
  • 政府
  • 宇宙航空、防衛
  • 能源、公共事業
  • 製造
  • 醫療
  • 運輸、物流
  • 其他

第11章 地區分析

  • 簡介
  • 北美
  • 歐洲
  • 亞太地區
  • 中東、非洲
  • 南美

第12章 供應商分析

  • 概要
  • 產品
  • 產業策略
  • 企業簡介
    • AUGURY SYSTEMS
    • BOSCH SOFTWARE INNOVATIONS GMBH
    • C3 IOT
    • DELL, INC.
    • FLUKE CORPORATION
    • GENERAL ELECTRIC COMPANY
    • HITACHI, LTD.
    • HONEYWELL INTERNATIONAL, INC.
    • IBM CORPORATION
    • PTC, INC.
    • RAPIDMINER, INC.
    • ROCKWELL AUTOMATION, INC.
    • SAP SE
    • SAS INSTITUTE, INC.
    • SCHNEIDER ELECTRIC
    • SENSEYE, LTD.
    • SKF
    • SOFTWARE AG
    • SOFTWEB SOLUTIONS, INC.
    • T-SYSTEMS INTERNATIONAL GMBH
    • WARWICK ANALYTICS

第13章 附錄

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目錄
Product Code: TC 4154

"The rise in demand for reducing asset downtime has fueled the demand for predictive maintenance market"

The predictive maintenance market size is expected to grow from USD 1,404.3 million in 2016 to USD 4,904.0 million by 2021, at a Compound Annual Growth Rate (CAGR) of 28.4% during the forecast period. Factors, such as the lowering maintenance cost with reduced downtime and widespread of Internet of Things (IoT) are expected to increase the demand for predictive maintenance solutions & services. However, lack of training and trust for predictive maintenance are the major factors restraining the growth of the market.

"Support and Maintenance services to grow at the highest CAGR during the forecast period"

The support and maintenance services segment is estimated to grow at the highest CAGR during the forecast period. The rise in the demand for support and maintenance services is expected to witness traction in Asia-Pacific (APAC), Middle East & Africa (MEA) and Latin American regions, as predictive maintenance software solutions are dependent on the combination of technology and human skills. Software vendors provide training courses for the employees that last for a few days and are basic in nature. However, additional educational is required so that operators can understand and interpret the analysis from the captured data.

"North America to be the largest market for predictive maintenance during the forecast period"

The North American region holds the largest share of the predictive maintenance market. The major driver for this region is the increasing demand for better monitoring and predictive technology. The U.S. has the largest market share in the region, followed by Canada. The European market is the second biggest market after North America. The European region consists of major growing economies, such as the U.K., Germany, and France, which present great growth opportunities for the predictive maintenance market.

In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with key people. The break-up profiles of primary participants is as follows:

  • By Company Type: Tier 1 - 25 %, Tier 2 - 15% ,Tier 3 - 10%, and Others- 50%
  • By Designation: C level - 72%, Director Level - 17%, and Others - 11%
  • By Region: North America - 45%, Europe - 25%, APAC - 20%, and RoW - 10%

The major vendors in the predictive maintenance market include IBM (U.S.), SAP SE (Germany), Software AG (Germany), General Electric (U.S.), Robert Bosch (Germany), Rockwell Automation (U.S.), PTC (U.S.), Warwick Analytics (U.K.), RapidMiner (U.S.), and SKF (Sweden).

Research Coverage:

The report includes in-depth competitive analysis of these key players in the predictive maintenance market, with their company profiles, recent developments, and key market strategies. The research report segments the predictive maintenance market by component, deployment, organization size, vertical, and region.

Reasons to Buy the Report:

The predictive maintenance market has been segmented by service, deployment, organization size, industry vertical, and region. The report will help market leaders/new entrants in this market in the following ways:

  • 1. The report segments the predictive maintenance market comprehensively and provides the closest approximations of the revenue numbers for the overall market and the subsegments. The market numbers are further split across different verticals and regions.
  • 2. The report helps the stakeholders understand the pulse of the market and provides them information on key market drivers, restraints, challenges, and opportunities.
  • 3. This report will help stakeholders to better understand the competitors and gain more insights to position their businesses better. There is a separate section on competitive landscape, including competitor ecosystem and mergers & acquisitions. Besides, there are company profiles of 13 players offering services in this market. Furthermore, market internals are provided in this section, detailing what can put them ahead of the competitors.

TABLE OF CONTENTS

1. INTRODUCTION

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

2. RESEARCH METHODOLOGY

  • 2.1. RESEARCH DATA
    • 2.1.1. SECONDARY DATA
      • 2.1.1.1. Key data from secondary sources
    • 2.1.2. PRIMARY DATA
      • 2.1.2.1. Key data from primary sources
      • 2.1.2.2. Key industry insights
      • 2.1.2.3. Breakdown of primary interviews
  • 2.2. MARKET SIZE ESTIMATION
    • 2.2.1. BOTTOM-UP APPROACH
    • 2.2.2. TOP-DOWN APPROACH
  • 2.3. MARKET BREAKDOWN AND DATA TRIANGULATION
  • 2.4. VENDOR DIVE MATRIX
    • 2.4.1. QUADRANT DESCRIPTION
  • 2.5. RESEARCH ASSUMPTIONS

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. ATTRACTIVE MARKET OPPORTUNITIES IN THE GLOBAL PREDICTIVE MAINTENANCE MARKET
  • 4.2. PREDICTIVE MAINTENANCE MARKET, BY COMPONENT
  • 4.3. GLOBAL PREDICTIVE MAINTENANCE MARKET, BY VERTICAL AND REGION
  • 4.4. LIFECYCLE ANALYSIS, BY REGION

5. MARKET OVERVIEW

  • 5.1. INTRODUCTION
  • 5.2. MARKET EVOLUTION
  • 5.3. MARKET SEGMENTATION
    • 5.3.1. BY COMPONENT
    • 5.3.2. BY ORGANIZATION SIZE
    • 5.3.3. BY DEPLOYMENT TYPE
    • 5.3.4. BY VERTICAL
    • 5.3.5. BY REGION
  • 5.4. MARKET DYNAMICS
    • 5.4.1. DRIVERS
      • 5.4.1.1. Reduction in operation & maintenance costs and asset downtime
      • 5.4.1.2. Increasing demand for transforming maintenance
      • 5.4.1.3. Helps in decision-making and increasing operational efficiency
      • 5.4.1.4. Big data and IoT driving the market
    • 5.4.2. RESTRAINTS
      • 5.4.2.1. Lack of training
      • 5.4.2.2. Lack of trust in predictive maintenance technologies
    • 5.4.3. OPPORTUNITIES
      • 5.4.3.1. Increasing demand for real-time streaming analytics
      • 5.4.3.2. Increasing demand from small and medium enterprises
    • 5.4.4. CHALLENGES
      • 5.4.4.1. Predictive maintenance may not be considered as an integral part of the overall maintenance process
      • 5.4.4.2. Adequate and structured data collection
      • 5.4.4.3. Challenges to support wide range of complex equipment
  • 5.5. INNOVATION-SPOTLIGHT

6. INDUSTRY TRENDS

  • 6.1. INTRODUCTION
  • 6.2. VALUE CHAIN ANALYSIS
  • 6.3. STRATEGIC BENCHMARKING
    • 6.3.1. STRATEGIC BENCHMARKING: NEW PRODUCT LAUNCHES AND PARTNERSHIPS OF TOP VENDORS

7. PREDICTIVE MAINTENANCE MARKET ANALYSIS, BY COMPONENT

  • 7.1. INTRODUCTION
  • 7.2. SOLUTIONS
  • 7.3. SERVICES
    • 7.3.1. SYSTEM INTEGRATION
    • 7.3.2. MAINTENANCE AND SUPPORT
    • 7.3.3. CONSULTING SERVICES

8. PREDICTIVE MAINTENANCE MARKET ANALYSIS, BY DEPLOYMENT TYPE

  • 8.1. INTRODUCTION
  • 8.2. CLOUD
  • 8.3. ON-PREMISES

9. PREDICTIVE MAINTENANCE MARKET ANALYSIS, BY ORGANIZATION SIZE

  • 9.1. INTRODUCTION
  • 9.2. SMALL AND MEDIUM ENTERPRISES
  • 9.3. LARGE ENTERPRISES

10. PREDICTIVE MAINTENANCE MARKET ANALYSIS, BY VERTICAL

  • 10.1. INTRODUCTION
  • 10.2. GOVERNMENT
  • 10.3. AEROSPACE AND DEFENSE
  • 10.4. ENERGY AND UTILITIES
  • 10.5. MANUFACTURING
  • 10.6. HEALTHCARE
  • 10.7. TRANSPORTATION AND LOGISTICS
  • 10.8. OTHERS

11. GEOGRAPHIC ANALYSIS

  • 11.1. INTRODUCTION
  • 11.2. NORTH AMERICA
  • 11.3. EUROPE
  • 11.4. ASIA-PACIFIC
  • 11.5. MIDDLE EAST AND AFRICA
  • 11.6. LATIN AMERICA

12. VENDOR DIVE ANALYSIS (Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*

  • 12.1. OVERVIEW
    • 12.1.1. VANGUARDS
    • 12.1.2. INNOVATORS
    • 12.1.3. DYNAMIC
    • 12.1.4. EMERGING
  • 12.2. PRODUCT OFFERINGS
  • 12.3. BUSINESS STRATEGY
  • 12.4. COMPANY SYNOPSIS
    • 12.4.1. AUGURY SYSTEMS
    • 12.4.2. BOSCH SOFTWARE INNOVATIONS GMBH
    • 12.4.3. C3 IOT
    • 12.4.4. DELL, INC.
    • 12.4.5. FLUKE CORPORATION
    • 12.4.6. GENERAL ELECTRIC COMPANY
    • 12.4.7. HITACHI, LTD.
    • 12.4.8. HONEYWELL INTERNATIONAL, INC.
    • 12.4.9. IBM CORPORATION
    • 12.4.10. PTC, INC.
    • 12.4.11. RAPIDMINER, INC.
    • 12.4.12. ROCKWELL AUTOMATION, INC.
    • 12.4.13. SAP SE
    • 12.4.14. SAS INSTITUTE, INC.
    • 12.4.15. SCHNEIDER ELECTRIC
    • 12.4.16. SENSEYE, LTD.
    • 12.4.17. SKF
    • 12.4.18. SOFTWARE AG
    • 12.4.19. SOFTWEB SOLUTIONS, INC.
    • 12.4.20. T-SYSTEMS INTERNATIONAL GMBH
    • 12.4.21. WARWICK ANALYTICS

*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.

13. APPENDIX

  • 13.1. DISCUSSION GUIDE
  • 13.2. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 13.3. AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1: PREDICTIVE MAINTENANCE MARKET SIZE AND GROWTH RATE, 2014-2021 (USD MILLION, Y-O-Y %)
  • TABLE 2: PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2014-2021 (USD MILLION)
  • TABLE 3: SOLUTIONS: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 4: PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2014-2021 (USD MILLION)
  • TABLE 5: SYSTEM INTEGRATION: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 6: MAINTENANCE AND SUPPORT: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 7: CONSULTING SERVICES: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 8: PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2014-2021 (USD MILLION)
  • TABLE 9: CLOUD: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 10: ON-PREMISES: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 11: THE SMALL AND MEDIUM ENTERPRISES SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • TABLE 12: PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2014-2021 (USD MILLION)
  • TABLE 13: SMALL AND MEDIUM ENTERPRISES: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 14: LARGE ENTERPRISES: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 15: PREDICTIVE MAINTENANCE MARKET SIZE, BY VERTICAL, 2014-2021 (USD MILLION)
  • TABLE 16: GOVERNMENT: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 17: AEROSPACE AND DEFENSE: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 18: ENERGY AND UTILITIES: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 19: MANUFACTURING: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 20: HEALTHCARE: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 21: TRANSPORTATION AND LOGISTICS: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 22: OTHERS: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 23: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2014-2021 (USD MILLION)
  • TABLE 24: NORTH AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2014-2021 (USD MILLION)
  • TABLE 25: NORTH AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2014-2021 (USD MILLION)
  • TABLE 26: NORTH AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2014-2021 (USD MILLION)
  • TABLE 27: NORTH AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2014-2021 (USD MILLION)
  • TABLE 28: NORTH AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY VERTICAL, 2014-2021 (USD MILLION)
  • TABLE 29: EUROPE: PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2014-2021 (USD MILLION)
  • TABLE 30: EUROPE: PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2014-2021 (USD MILLION)
  • TABLE 31: EUROPE: PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2014-2021 (USD MILLION)
  • TABLE 32: EUROPE: PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2014-2021 (USD MILLION)
  • TABLE 33: EUROPE: PREDICTIVE MAINTENANCE MARKET SIZE, BY VERTICAL, 2014-2021 (USD MILLION)
  • TABLE 34: ASIA-PACIFIC: PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2014-2021 (USD MILLION)
  • TABLE 35: ASIA-PACIFIC: PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2014-2021 (USD MILLION)
  • TABLE 36: ASIA-PACIFIC: PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2014-2021 (USD MILLION)
  • TABLE 37: ASIA-PACIFIC: PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2014-2021 (USD MILLION)
  • TABLE 38: ASIA-PACIFIC: PREDICTIVE MAINTENANCE MARKET SIZE, BY VERTICAL, 2014-2021 (USD MILLION)
  • TABLE 39: MIDDLE EAST AND AFRICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2014-2021 (USD MILLION)
  • TABLE 40: MIDDLE EAST AND AFRICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2014-2021 (USD MILLION)
  • TABLE 41: MIDDLE EAST AND AFRICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2014-2021 (USD MILLION)
  • TABLE 42: MIDDLE EAST AND AFRICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2014-2021 (USD MILLION)
  • TABLE 43: MIDDLE EAST AND AFRICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY VERTICAL, 2014-2021 (USD MILLION)
  • TABLE 44: LATIN AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2014-2021 (USD MILLION)
  • TABLE 45: LATIN AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2014-2021 (USD MILLION)
  • TABLE 46: LATIN AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2014-2021 (USD MILLION)
  • TABLE 47: LATIN AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY ORGANIZATION SIZE, 2014-2021 (USD MILLION)
  • TABLE 48: LATIN AMERICA: PREDICTIVE MAINTENANCE MARKET SIZE, BY VERTICAL, 2014-2021 (USD MILLION)

LIST OF FIGURES

  • FIGURE 1: GLOBAL PREDICTIVE MAINTENANCE MARKET: RESEARCH DESIGN
  • FIGURE 2: BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY TYPE, DESIGNATION, AND REGION
  • FIGURE 3: MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • FIGURE 4: MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 5: DATA TRIANGULATION
  • FIGURE 6: VENDOR DIVE MATRIX: CRITERIA WEIGHTAGE
  • FIGURE 7: VENDOR DIVE MATRIX
  • FIGURE 8: TOP THREE CATEGORIES FOR THE GLOBAL PREDICTIVE MAINTENANCE MARKET IN 2016
  • FIGURE 9: NORTH AMERICA IS ESTIMATED TO HOLD THE LARGEST SHARE OF THE PREDICTIVE MAINTENANCE MARKET IN 2016
  • FIGURE 10: INCREASE IN ADOPTION OF CLOUD-BASED PREDICTIVE MAINTENANCE SOLUTIONS WILL BOOST THE PREDICTIVE MAINTENANCE MARKET DURING THE FORECAST PERIOD
  • FIGURE 11: SERVICES SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 12: MANUFACTURING VERTICAL AND NORTH AMERICA ARE ESTIMATED TO HOLD THE LARGEST MARKET SHARE IN 2016
  • FIGURE 13: THE ASIA-PACIFIC MARKET IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 14: EVOLUTION OF THE PREDICTIVE MAINTENANCE MARKET
  • FIGURE 15: PREDICTIVE MAINTENANCE MARKET SEGMENTATION: BY SERVICE
  • FIGURE 16: PREDICTIVE MAINTENANCE MARKET SEGMENTATION: BY ORGANIZATION SIZE
  • FIGURE 17: PREDICTIVE MAINTENANCE MARKET SEGMENTATION: BY DEPLOYMENT TYPE
  • FIGURE 18: PREDICTIVE MAINTENANCE MARKET SEGMENTATION: BY VERTICAL
  • FIGURE 19: PREDICTIVE MAINTENANCE MARKET SEGMENTATION: BY REGION
  • FIGURE 20: PREDICTIVE MAINTENANCE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 21: PREDICTIVE MAINTENANCE MARKET: VALUE CHAIN
  • FIGURE 22: STRATEGIC BENCHMARKING: NEW PRODUCT LAUNCHES AND PARTNERSHIPS OF TOP VENDORS
  • FIGURE 23: PREDICTIVE MAINTENANCE SERVICES SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 24: CLOUD DEPLOYMENT TYPE IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 25: ENERGY AND UTILITIES VERTICAL EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 26: ASIA-PACIFIC EXPECTED TO GROW AT THE HIGHEST CAGR IN THE GLOBAL PREDICTIVE MAINTENANCE MARKET DURING THE FORECAST PERIOD
  • FIGURE 27: REGIONAL SNAPSHOT: ASIA-PACIFIC IS THE EMERGING REGION IN THE PREDICTIVE MAINTENANCE MARKET (2016-2021)
  • FIGURE 28: NORTH AMERICA MARKET SNAPSHOT: PRESENCE OF KEY VERTICALS IN THE REGION IS A MAJOR FACTOR CONTRIBUTING TOWARDS THE GROWTH OF THE PREDICTIVE MAINTENANCE MARKET
  • FIGURE 29: ASIA-PACIFIC MARKET SNAPSHOT: RISING DEMAND FOR LOWERING OPERATIONAL COST AMONG VERTICALS IS A MAJOR FACTOR CONTRIBUTING TOWARDS THE GROWTH OF THE PREDICTIVE MAINTENANCE MARKET
  • FIGURE 30: DIVE CHART
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