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市場調査レポート

リアルタイム予知保全の世界市場の予測 〜2020年:ソリューション・サービス (SI・トレーニング&サポート・コンサルティング)・導入タイプ・導入部門・地域別

Operational Predictive Maintenance Market by Solution, by Service (System Integration, Training and Support, Consulting, by Deployment Type (Cloud, on-Premise), by Application Area, by Region (NA, Europe, APAC, MEA, LA) - Global Forecast to 2020

発行 MarketsandMarkets 商品コード 354175
出版日 ページ情報 英文 114 Pages
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リアルタイム予知保全の世界市場の予測 〜2020年:ソリューション・サービス (SI・トレーニング&サポート・コンサルティング)・導入タイプ・導入部門・地域別 Operational Predictive Maintenance Market by Solution, by Service (System Integration, Training and Support, Consulting, by Deployment Type (Cloud, on-Premise), by Application Area, by Region (NA, Europe, APAC, MEA, LA) - Global Forecast to 2020
出版日: 2016年03月10日 ページ情報: 英文 114 Pages
概要

世界のリアルタイム予知保全の市場は、2015年から2020年にかけて26.5%のCAGR (複合年間成長率) で推移し、2015年の5億8230万米ドルから、2020年には18億8430万米ドルの規模に成長すると予測されています。ダウンタイムおよび保守コストの削減へのニーズやIoT技術がリアルタイムの予知保全ソリューションおよびサービスへの需要を推進する見通しです。

当レポートでは、世界のリアルタイム予知保全ソリューションおよびサービスの市場について調査し、市場の定義と概要、産業構造とバリューチェーン、注目のイノベーション、市場成長への影響因子および市場機会の分析、ソリューション&サービス区分・導入タイプ・エンドユーザー産業・地域別の動向と市場規模の推移と予測、競合環境、主要企業のプロファイルなどをまとめています。

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

  • 魅力的な市場機会
  • 導入タイプ別市場
  • 地域別市場
  • ライフサイクル分析:地域別

第5章 市場概要

  • イントロダクション
  • 市場の発展の経緯
  • 市場区分
  • 市場力学
    • 促進因子
    • 阻害因子
    • 市場機会
    • 課題

第6章 産業動向

  • イントロダクション
  • バリューチェーン分析
  • 戦略ベンチマーキング
  • 注目のイノベーション

第7章 市場分析:コンポーネント別

  • ソリューション
  • サービス
    • システムインテグレーション
    • トレーニング&サポート
    • コンサルティング

第8章 市場分析:導入タイプ別

  • イントロダクション
  • クラウド
  • オンプレミス

第9章 市場分析:導入部門別

  • イントロダクション
  • 自動車
  • エネルギー&ユーティリティ
  • 医療
  • 製造
  • 政府&防衛
  • 輸送&物流
  • その他

第10章 地域分析

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

第11章 競合情勢

  • 概要
  • 競合状況
    • 新製品の投入
    • M&A
    • 新規提携・契約・器協力・合意
    • 拡張

第12章 企業プロファイル

  • イントロダクション
  • IBM CORPORATION
  • SOFTWARE AG
  • SAS INSTITUTE, INC.
  • GENERAL ELECTRIC
  • BOSCH
  • ROCKWELL AUTOMATION, INC.
  • PTC
  • SCHNEIDER ELECTRIC
  • SKF
  • EMAINT ENTERPRISES, LLC
    • 事業概要
    • 製品&サービス
    • 財務状況
    • 戦略
    • 発展動向、など

第13章 付録

図表

目次
Product Code: TC 4154

Rise in demand for reducing asset downtime has fueled the growth of the operational predictive maintenance market

The operational predictive maintenace market size is expected to grow from USD 582.3 million in 2015 to USD 1,884.3 million by 2020, at a Compound Annual Growth Rate (CAGR) of 26.5%. The need to lower maintenance costs with reduced down time and Internet of Things (IoT) is expected to increase the demand for operational predictive maintenance solutions and services.

Training and support services segment to grow at the highest CAGR during the forecast period

The training and support services segment is estimated to grow at the highest CAGR duing the forecast period. The rise in the demand for training and support services is expected to witness traction in the APAC, MEA, and Latin America regions, as the predictive maintenance software solutions are dependent on the combination of technology and human skill. The software vendors provide training courses for the employees that last a few days and are basic in nature; but 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 operational predictive maintenance during the forecast period

The North American region holds the largest share of the operational predictive maintenance market. The major driver for this region is the increasing demand for a 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 largest market after North America. The region consists of major growing economies such as the U.K., Germany, and France, which present great growth opportunities for the operational 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. Break-up of profile of primary participants is as follows:

  • By Company Type: Tier 1 - 55 %, Tier 2 - 20% and Tier 3 - 25%
  • By Designation: C level - 60%, Director level - 25%, Others - 15%
  • By Region: North America - 10%, Europe - 20%, APAC - 40%, RoW - 30%

The various key operational predictive maintenance vendors profiled in the report are as follows:

  • 1. IBM Corporation
  • 2. Software AG
  • 3. SAS Institute, Inc.
  • 4. General Electric
  • 5. Bosch
  • 6. Rockwell Automation, Inc.
  • 7. PTC
  • 8. Schneider Electric
  • 9. SKF
  • 10. Emaint Enterprises, LLC

The report will help the market leaders/new entrants in this market in the following ways:

  • 1. This report segments the operational predictive maintenance market comprehensively and provides the closest approximations of the revenue numbers for the overall market and the sub-segments across different application area and regions.
  • 2. The report helps stakeholders to understand the pulse of the market and provides them information on key market drivers, restraints, challenges, and opportunities.
  • 3. This report will help the stakeholders to better understand the competitors and gain more insights to better their positions in the business. The competitive landscape section includes competitor ecosystem, new product develpoments, partnerships, and mergers and acquisitions.

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. RESEARCH ASSUMPTIONS

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. ATTRACTIVE MARKET OPPORTUNITIES IN THE GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE MARKET
  • 4.2. OPERATIONAL PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT TYPE
  • 4.3. OPERATIONAL PREDICTIVE MAINTENANCE GLOBAL MARKET: BY APPLICATION AREA AND BY REGION
  • 4.4. LIFECYCLE ANALYSIS, BY REGION, 2015

5. MARKET OVERVIEW

  • 5.1. INTRODUCTION
  • 5.2. MARKET EVOLUTION
  • 5.3. MARKET SEGMENTATION
    • 5.3.1. BY COMPONENTS
    • 5.3.2. BY SERVICE
    • 5.3.3. BY DEPLOYMENT TYPE
    • 5.3.4. BY APPLICATION AREA
    • 5.3.5. BY REGION
  • 5.4. MARKET DYNAMICS
    • 5.4.1. DRIVERS
      • 5.4.1.1. Help to transform maintenance operations and reduce asset downtime
      • 5.4.1.2. Big data and IoT driving the market
    • 5.4.2. RESTRAINTS
      • 5.4.2.1. Lack of training for operators
      • 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 form a part of the overall maintenance process

6. INDUSTRY TRENDS

  • 6.1. INTRODUCTION
  • 6.2. VALUE CHAIN ANALYSIS
  • 6.3. STRATEGIC BENCHMARKING
  • 6.4. INNOVATION SPOTLIGHT

7. OPERATIONAL PREDICTIVE MAINTENANCE MARKET ANALYSIS, BY COMPONENT

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

8. OPERATIONAL PREDICTIVE MAINTENANCE MARKET ANALYSIS, BY DEPLOYMENT TYPE

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

9. OPERATIONAL PREDICTIVE MAINTENANCE MARKET ANALYSIS, BY APPLICATION AREA

  • 9.1. INTRODUCTION
  • 9.2. AUTOMOTIVE
  • 9.3. ENERGY AND UTILITIES
  • 9.4. HEALTHCARE
  • 9.5. MANUFACTURING
  • 9.6. GOVERNMENT AND DEFENSE
  • 9.7. TRANSPORTATION AND LOGISTICS
  • 9.8. OTHERS

10. REGIONAL ANALYSIS

  • 10.1. INTRODUCTION
  • 10.2. NORTH AMERICA
  • 10.3. EUROPE
  • 10.4. ASIA-PACIFIC (APAC)
  • 10.5. MIDDLE EAST AND AFRICA (MEA)
  • 10.6. LATIN AMERICA

11. COMPETITIVE LANDSCAPE

  • 11.1. OVERVIEW
  • 11.2. COMPETITIVE SITUATION AND TRENDS
    • 11.2.1. NEW PRODUCT LAUNCHES
    • 11.2.2. MERGERS AND ACQUISITIONS
    • 11.2.3. NEW ALLIANCES, CONTRACTS, PARTNERSHIPS, AND AGREEMENTS
    • 11.2.4. EXPANSIONS

12. COMPANY PROFILES (Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*

  • 12.1. INTRODUCTION
  • 12.2. IBM CORPORATION
  • 12.3. SOFTWARE AG
  • 12.4. SAS INSTITUTE, INC.
  • 12.5. GENERAL ELECTRIC
  • 12.6. BOSCH
  • 12.7. ROCKWELL AUTOMATION, INC.
  • 12.8. PTC
  • 12.9. SCHNEIDER ELECTRIC
  • 12.10. SKF
  • 12.11. EMAINT ENTERPRISES, LLC

*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. INDUSTRY EXPERTS
  • 13.2. DISCUSSION GUIDE
  • 13.3. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 13.4. INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
  • 13.5. RELATED REPORTS

LIST OF TABLES

  • TABLE 1: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE AND GROWTH RATE, 2013-2020 (USD MILLION, YOY %)
  • TABLE 2: DRIVERS: IMPACT ANALYSIS
  • TABLE 3: RESTRAINTS: IMPACT ANALYSIS
  • TABLE 4: OPPORTUNITIES: IMPACT ANALYSIS
  • TABLE 5: CHALLENGES: IMPACT ANALYSIS
  • TABLE 6: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2013-2020 (USD MILLION)
  • TABLE 7: SOLUTIONS: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 8: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2013-2020 (USD MILLION)
  • TABLE 9: SYSTEM INTEGRATION: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 10: TRAINING AND SUPPORT: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 11: CONSULTING: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 12: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2013-2020 (USD MILLION)
  • TABLE 13: CLOUD: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 14: ON-PREMISES: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 15: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY APPLICATION AREA, 2013-2020 (USD MILLION
  • TABLE 16: AUTOMOTIVE: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 17: ENERGY AND UTILITIES : OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 18: HEALTHCARE: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 19: MANUFACTURING: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 20: GOVERNMENT AND DEFENSE: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 21: TRANSPORTATION AND LOGISTICS: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 22: OTHERS: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 23: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 24: NORTH AMERICA: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2013-2020 (USD MILLION)
  • TABLE 25: NORTH AMERICA: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2013-2020 (USD MILLION)
  • TABLE 26: NORTH AMERICA: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2013-2020 (USD MILLION)
  • TABLE 27: NORTH AMERICA: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY APPLICATION AREA, 2013-2020 (USD MILLION)
  • TABLE 28: EUROPE: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2013-2020 (USD MILLION)
  • TABLE 29: EUROPE: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2013-2020 (USD MILLION)
  • TABLE 30: EUROPE: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2013-2020 (USD MILLION)
  • TABLE 31: EUROPE: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY APPLICATION AREA, 2013-2020 (USD MILLION)
  • TABLE 32: ASIA-PACIFIC: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2013-2020 (USD MILLION)
  • TABLE 33: ASIA-PACIFIC: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2013-2020 (USD MILLION)
  • TABLE 34: ASIA-PACIFIC: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2013-2020 (USD MILLION)
  • TABLE 35: ASIA-PACIFIC: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY APPLICATION AREA, 2013-2020 (USD MILLION)
  • TABLE 36: MIDDLE EAST AND AFRICA: OPERATIONAL PREDICTIVE MARKET SIZE, BY COMPONENT, 2013-2020 (USD MILLION)
  • TABLE 37: MIDDLE EAST AND AFRICA: OPERATIONAL PREDICTIVE MARKET SIZE, BY SERVICE, 2013-2020 (USD MILLION)
  • TABLE 38: MIDDLE EAST AND AFRICA: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2013-2020 (USD MILLION)
  • TABLE 39: MIDDLE EAST AND AFRICA: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY APPLICATION AREA, 2013-2020 (USD MILLION)
  • TABLE 40: LATIN AMERICA: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2013-2020 (USD MILLION)
  • TABLE 41: LATIN AMERICA: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY SERVICE, 2013-2020 (USD MILLION)
  • TABLE 42: LATIN AMERICA: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT TYPE, 2013-2020 (USD MILLION)
  • TABLE 43: LATIN AMERICA: OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, BY APPLICATION AREA, 2013-2020 (USD MILLION)
  • TABLE 44: NEW PRODUCT LAUNCHES, 2013-2015
  • TABLE 45: MERGERS AND ACQUISITIONS, 2013-2015
  • TABLE 46: NEW ALLIANCES, CONTRACTS, PARTNERSHIPS, AND AGREEMENTS, 2012-2015
  • TABLE 47: EXPANSIONS, 2013-2015

LIST OF FIGURES

  • FIGURE 1: GLOBAL OPERATIONAL 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: SERVICES SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 7: SYSTEM INTEGRATION SERVICES SEGMENT IS EXPECTED TO HAVE THE LARGEST MARKET SIZE FROM 2015 TO 2020
  • FIGURE 8: NORTH AMERICA IS EXPECTED TO HOLD THE LARGEST SHARE OF THE OPERATIONAL PREDICTIVE MAINTENANCE MARKET IN 2015
  • FIGURE 9: INCREASED DEMAND FOR CLOUD-BASED SOLUTIONS WILL BOOST THE OPERATIONAL PREDICTIVE MAINTENANCE MARKET
  • FIGURE 10: CLOUD DEPLOYMENT TYPE TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 11: GOVERNMENT AND DEFENSE APPLICATION AREA AND NORTH AMERICA TO HOLD THE LARGEST SHARE OF THE OPERATIONAL PREDICTIVE MAINTENANCE MARKET
  • FIGURE 12: ASIA-PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 13: EVOLUTION OF THE OPERATIONAL PREDICTIVE MAINTENANCE MARKET
  • FIGURE 14: OPERATIONAL PREDICTIVE MAINTENANCE MARKET, BY COMPONENTS
  • FIGURE 15: OPERATIONAL PREDICTIVE MAINTENANCE MARKET, BY SERVICE
  • FIGURE 16: OPERATIONAL PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT TYPE
  • FIGURE 17: OPERATIONAL PREDICTIVE MAINTENANCE MARKET, BY APPLICATION AREA
  • FIGURE 18: OPERATIONAL PREDICTIVE MAINTENANCE MARKET, BY REGION
  • FIGURE 19: OPERATIONAL PREDICTIVE MAINTENANCE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 20: OPERATIONAL PREDICTIVE MAINTENANCE MARKET: VALUE CHAIN
  • FIGURE 21: STRATEGIC BENCHMARKING: NEW PRODUCT LAUNCHES AND PARTNERSHIPS OF TOP VENDORS
  • FIGURE 22: SERVICES SEGMENT IS EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD
  • FIGURE 23: TRAINING AND SUPPORT SERVICES EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD
  • FIGURE 24: CLOUD DEPLOYMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 25: MANUFACTURING VERTICAL EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 26: ASIA-PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CARG IN THE GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE MARKET DURING THE FORECAST PERIOD
  • FIGURE 27: REGIONAL SNAPSHOT: ASIA-PACIFIC IS THE EMERGING REGION IN THE OPERATIONAL PREDICTIVE MAINTENANCE MARKET
  • FIGURE 28: NORTH AMERICA MARKET SNAPSHOT: PRESENCE OF KEY VENDORS IN THE REGION IS A MAJOR FACTOR CONTRIBUTING TOWARDS THE GROWTH OF THE OPERATIONAL 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 OPERATIONAL PREDICTIVE MAINTENANCE MARKET
  • FIGURE 30: COMPANIES ADOPTED NEW PRODUCT LAUNCHES AS THE KEY GROWTH STRATEGY OVER THE PAST FOUR YEARS
  • FIGURE 31: MARKET EVALUATION FRAMEWORK: NEW PRODUCT LAUNCHES FUELED GROWTH FROM 2013 TO 2015
  • FIGURE 32: BATTLE FOR MARKET SHARE: NEW PRODUCT LAUNCHES WAS THE KEY STRATEGY
  • FIGURE 33: GEOGRAPHIC MIX
  • FIGURE 34: IBM CORPORATION: COMPANY SNAPSHOT
  • FIGURE 35: IBM CORPORATION: SWOT ANALYSIS
  • FIGURE 36: SOFTWARE AG: COMPANY SNAPSHOT
  • FIGURE 37: SOFTWARE AG: SWOT ANALYSIS
  • FIGURE 38: SAS INSTITUTE, INC.: COMPANY SNAPSHOT
  • FIGURE 39: SAS INSTITUTE, INC.: SWOT ANALYSIS
  • FIGURE 40: GENERAL ELECTRIC: COMPANY SNAPSHOT
  • FIGURE 41: GENERAL ELECTRIC: SWOT ANALYSIS
  • FIGURE 42: BOSCH: COMPANY SNAPSHOT
  • FIGURE 43: BOSCH: SWOT ANALYSIS
  • FIGURE 44: ROCKWELL AUTOMATION, INC.: COMPANY SNAPSHOT
  • FIGURE 45: PTC: COMPANY SNAPSHOT
  • FIGURE 46: SCHNEIDER ELECTRIC: COMPANY SNAPSHOT
  • FIGURE 47: SKF: COMPANY SNAPSHOT
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