株式会社グローバルインフォメーション
TEL: 044-952-0102
市場調査レポート

予知保全の世界市場:将来展望

Global Predictive Maintenance Market Forecast 2019-2027

発行 Inkwood Research 商品コード 915986
出版日 ページ情報 英文 163 Pages
納期: 2-3営業日
価格
本日の銀行送金レート: 1USD=109.81円で換算しております。
Back to Top
予知保全の世界市場:将来展望 Global Predictive Maintenance Market Forecast 2019-2027
出版日: 2019年11月08日 ページ情報: 英文 163 Pages
概要

当レポートでは、世界の予知保全 (PM:予見的整備) 市場の将来展望について分析し、サービスの特性や市場の基本構造、主な促進・抑制要因、市場全体およびコンポーネント別・展開方式別・手法別・ステークホルダー別・エンドユーザー別・地域別の市場動向見通し (今後9年間分)、主要企業のプロファイルなどを調査しております。

第1章 分析範囲

第2章 分析手法

第3章 エグゼクティブサマリー

第4章 市場のダイナミクス

  • 市場の定義と範囲
  • 市場促進要因
  • 市場抑制要因
  • 市場機会
  • 市場の課題

第5章 コンポーネント別の市場

  • ソリューション
  • サービス

第6章 展開方式別の市場

  • オンプレミス
  • クラウド

第7章 手法別の市場

  • 振動モニタリング
  • 電気試験
  • オイル分析
  • 超音波式漏洩探知機
  • 衝撃パルス
  • 赤外線
  • その他

第8章 ステークホルダー (利害関係者) 別の市場

  • MRO (整備・修理・オーバーホール)
  • OEM/ODM
  • 技術インテグレーター

第9章 エンドユーザー別の市場

  • 製造業
  • エネルギー・ユーティリティ
  • 航空宇宙・防衛
  • 運輸業・ロジスティクス
  • 政府
  • 医療
  • その他

第10章 主な分析指標

  • ポーターのファイブフォース分析
  • 主な購入基準
    • コスト
    • 企業の背景事情と経験
    • 使い易さ
  • 市場機会マトリックス
  • ベンダー環境

第11章 地域別分析

  • 北米 (米国、カナダ)
  • 欧州 (英国、ドイツ、フランス、スペイン、イタリアなど)
  • アジア太平洋地域 (中国、日本、インド、韓国、オーストラリアなど)
  • 他の国々 (RoW:ラテンアメリカ、中東・アフリカ)

第12章 企業プロファイル

  • ASYSTOM
  • C3.ai Inc.
  • SOFTWARE AG
  • SCHNEIDER ELECTRIC SE
  • SAS INSTITUTE INC.
  • SAP SE
  • PTC INC.
  • MICROSOFT CORPORATION
  • IBM CORPORATION
  • 日立製作所
  • GENERAL ELECTRIC
  • UPTAKE TECHNOLOGIES
  • TIBCO SOFTWARE INC.
  • SPARK COGNITION INC.
  • FIIX INC.
図表

LIST OF TABLES

  • TABLE 1: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY GEOGRAPHY, 2019-2027 (IN $ MILLION)
  • TABLE 2: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2019-2027 (IN $ MILLION)
  • TABLE 3: GLOBAL SOLUTION MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 4: GLOBAL SERVICE MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 5: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT, 2019-2027 (IN $ MILLION)
  • TABLE 6: GLOBAL ON-PREMISE MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 7: GLOBAL CLOUD MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 8: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY TECHNIQUE, 2019-2027 (IN $ MILLION)
  • TABLE 9: GLOBAL VIBRATION MONITORING MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 10: GLOBAL ELECTRICAL TESTING MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 11: GLOBAL OIL ANALYSIS MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 12: GLOBAL ULTRASONIC LEAK DETECTORS MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 13: GLOBAL SHOCK PULSE MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 14: GLOBAL INFRARED MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 15: GLOBAL OTHERS MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 16: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY STAKEHOLDER, 2019-2027 (IN $ MILLION)
  • TABLE 17: GLOBAL MRO MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 18: GLOBAL OEM/ODM MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 19: GLOBAL TECHNOLOGY INTEGRATORS MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 20: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY END USER, 2019-2027 (IN $ MILLION)
  • TABLE 21: GLOBAL MANUFACTURING MARKET, BY REGION, 2019-2027 (IN $ MILLION)'
  • TABLE 22: GLOBAL ENERGY & UTILITIES MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 23: GLOBAL AEROSPACE & DEFENSE MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 24: GLOBAL TRANSPORTATION & LOGISTICS MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 25: GLOBAL GOVERNMENT MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 26: GLOBAL HEALTHCARE MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 27: GLOBAL OTHERS MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 28: OPPORTUNITY MATRIX
  • TABLE 29: VENDOR LANDSCAPE
  • TABLE 30: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY GEOGRAPHY, 2019-2027 (IN $ MILLION)
  • TABLE 31: NORTH AMERICA PREDICTIVE MAINTENANCE MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)
  • TABLE 32: EUROPE PREDICTIVE MAINTENANCE MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)
  • TABLE 33: ASIA PACIFIC PREDICTIVE MAINTENANCE MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)
  • TABLE 34: REST OF WORLD PREDICTIVE MAINTENANCE MARKET, BY REGION, 2019-2027 (IN $ MILLION)

LIST OF FIGURES

  • FIGURE 1: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018 & 2027 (IN %)
  • FIGURE 2: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY SOLUTION, 2019-2027 (IN $ MILLION)
  • FIGURE 3: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY SERVICE, 2019-2027 (IN $ MILLION)
  • FIGURE 4: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY ON-PREMISE, 2019-2027 (IN $ MILLION)
  • FIGURE 5: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY CLOUD, 2019-2027 (IN $ MILLION)
  • FIGURE 6: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY VIBRATION MONITORING, 2019-2027 (IN $ MILLION)
  • FIGURE 7: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY ELECTRICAL TESTING, 2019-2027 (IN $ MILLION)
  • FIGURE 8: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY OIL ANALYSIS, 2019-2027 (IN $ MILLION)
  • FIGURE 9: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY ULTRASONIC LEAK DETECTORS, 2019-2027 (IN $ MILLION)
  • FIGURE 10: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY SHOCK PULSE, 2019-2027 (IN $ MILLION)
  • FIGURE 11: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY INFRARED, 2019-2027 (IN $ MILLION)
  • FIGURE 12: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY OTHERS, 2019-2027 (IN $ MILLION)
  • FIGURE 13: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY MRO, 2019-2027 (IN $ MILLION)
  • FIGURE 14: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY OEM/ODM, 2019-2027 (IN $ MILLION)
  • FIGURE 15: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY TECHNOLOGY INTEGRATORS, 2019-2027 (IN $ MILLION)
  • FIGURE 16: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY MANUFACTURING, 2019-2027 (IN $ MILLION)
  • FIGURE 17: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY ENERGY & UTILITIES, 2019-2027 (IN $ MILLION)
  • FIGURE 18: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY AEROSPACE & DEFENSE, 2019-2027 (IN $ MILLION)
  • FIGURE 19: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY TRANSPORTATION & LOGISTICS, 2019-2027 (IN $ MILLION)
  • FIGURE 20: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY GOVERNMENT, 2019-2027 (IN $ MILLION)
  • FIGURE 21: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY HEALTHCARE, 2019-2027 (IN $ MILLION)
  • FIGURE 22: GLOBAL PREDICTIVE MAINTENANCE MARKET, BY OTHERS, 2019-2027 (IN $ MILLION)
  • FIGURE 23: PORTER'S FIVE FORCE ANALYSIS
  • FIGURE 24: KEY BUYING IMPACT ANALYSIS
  • FIGURE 25: GLOBAL PREDICTIVE MAINTENANCE MARKET, REGIONAL OUTLOOK, 2018 & 2027 (IN %)
  • FIGURE 26: UNITED STATES PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 27: CANADA PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 28: UNITED KINGDOM PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 29: GERMANY PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 30: FRANCE PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 31: SPAIN PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 32: ITALY PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 33: REST OF EUROPE PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 34: CHINA PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 35: JAPAN PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 36: INDIA PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 37: SOUTH KOREA PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 38: AUSTRALIA PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 39: REST OF ASIA PACIFIC PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 40: LATIN AMERICA PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 41: MIDDLE EAST & AFRICA PREDICTIVE MAINTENANCE MARKET, 2019-2027 (IN $ MILLION)
目次
Product Code: 28127

KEY FINDINGS

The global market for predictive maintenance is estimated to garner a CAGR of 25.09% during the projected period. The rising demand for cloud applications and the increasing investments are the primary reasons projected to drive the growth of the market.

MARKET INSIGHTS

The major breakdowns in the companies incur huge losses both in terms of operating time and finance. There is a rising demand from the companies to reduce the downtime by recognizing the problems beforehand, thereby driving the demand for the market. The predictive maintenance approaches are being utilized in the medical technology for aiding the healthcare professionals to maintain a high degree of innovation and profitability. The shifting types of equipment, concepts, and technologies, require different skill sets. Thus, the skills gap factor challenges the growth of the market. However, the adoption of machine learning with regard to predictive maintenance by the manufactures clears the way further for market growth opportunities. The hardware segment held the largest market share as of 2018.

REGIONAL INSIGHTS

The global predictive maintenance market is segmented into Europe, North America, Asia Pacific, and the Rest of the World for further analysis. North America holds the largest share of the market, and the region of Asia Pacific, is set to witness substantial growth, recording the highest CAGR in the market. The increasing efforts to introduce innovative solutions for optimized outputs is one of the primary drivers of the Asia Pacific market.

COMPETITIVE INSIGHTS

The market has the presence of several established and emerging players, resulting in increased revenues for the market. Some of them include, C3.Ai Inc., Sas Institute Inc., Ptc Inc., Software Ag, Schneider Electric Se, Sap Se, Asystom, etc.

Our report offerings include:

  • Explore key findings of the overall market
  • Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
  • Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
  • Market Segmentation cater to a thorough assessment of key segments with their market estimations
  • Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
  • Key analytics: Porter's Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
  • Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
  • Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments

Table of contents

1. RESEARCH SCOPE

  • 1.1. STUDY GOALS
  • 1.2. SCOPE OF THE MARKET STUDY
  • 1.3. WHO WILL FIND THIS REPORT USEFUL?
  • 1.4. STUDY AND FORECASTING YEARS

2. RESEARCH METHODOLOGY

  • 2.1. SOURCES OF DATA
    • 2.1.1. SECONDARY DATA
    • 2.1.2. PRIMARY DATA
  • 2.2. TOP-DOWN APPROACH
  • 2.3. BOTTOM-UP APPROACH
  • 2.4. DATA TRIANGULATION

3. EXECUTIVE SUMMARY

  • 3.1. MARKET SUMMARY
  • 3.2. KEY FINDINGS
    • 3.2.1. ASIA PACIFIC DOMINATES THE OVERALL MARKET
    • 3.2.2. GROWING DEMAND FOR CLOUD APPLICATIONS
    • 3.2.3. RISING INNOVATIONS IN HEALTHCARE SEGMENT

4. MARKET DYNAMICS

  • 4.1. MARKET SCOPE & DEFINITION
  • 4.2. MARKET DRIVERS
    • 4.2.1. GROWING NEED TO REDUCE MACHINERY BREAKDOWN
    • 4.2.2. RISING INVESTMENTS FOR PREDICTIVE MAINTENANCE
  • 4.3. MARKET RESTRAINTS
    • 4.3.1. SKILL GAP IS THE KEY RESTRAINT TO MARKET GROWTH
    • 4.3.2. COMPLICATIONS IN IMPLEMENTATION OF TECHNOLOGY
  • 4.4. MARKET OPPORTUNITIES
    • 4.4.1. HIGH ADOPTION OF MACHINE LEARNING AND IIOT
    • 4.4.2. SWELLING DEMAND FOR CONDITION BASED MONITORING
  • 4.5. MARKET CHALLENGES
    • 4.5.1. DATA PRIVACY CONCERNS

5. MARKET BY COMPONENT

  • 5.1. SOLUTION
  • 5.2. SERVICE

6. MARKET BY DEPLOYMENT

  • 6.1. ON-PREMISE
  • 6.2. CLOUD

7. MARKET BY TECHNIQUE

  • 7.1. VIBRATION MONITORING
  • 7.2. ELECTRICAL TESTING
  • 7.3. OIL ANALYSIS
  • 7.4. ULTRASONIC LEAK DETECTORS
  • 7.5. SHOCK PULSE
  • 7.6. INFRARED
  • 7.7. OTHERS

8. MARKET BY STAKEHOLDER

  • 8.1. MRO
  • 8.2. OEM/ODM
  • 8.3. TECHNOLOGY INTEGRATORS

9. MARKET BY END USER

  • 9.1. MANUFACTURING
  • 9.2. ENERGY & UTILITIES
  • 9.3. AEROSPACE & DEFENSE
  • 9.4. TRANSPORTATION & LOGISTICS
  • 9.5. GOVERNMENT
  • 9.6. HEALTHCARE
  • 9.7. OTHERS

10. KEY ANALYTICS

  • 10.1. PORTER'S FIVE FORCE MODEL
    • 10.1.1. THREAT OF NEW ENTRANTS
    • 10.1.2. THREAT OF SUBSTITUTE
    • 10.1.3. BARGAINING POWER OF SUPPLIERS
    • 10.1.4. BARGAINING POWER OF BUYERS
    • 10.1.5. THREAT OF COMPETITIVE RIVALRY
  • 10.2. KEY BUYING CRITERIA
    • 10.2.1. COST
    • 10.2.2. COMPANY BACKGROUND & EXPERIENCE
    • 10.2.3. EASE OF USE
  • 10.3. OPPORTUNITY MATRIX
  • 10.4. VENDOR LANDSCAPE

11. GEOGRAPHICAL ANALYSIS

  • 11.1. NORTH AMERICA
    • 11.1.1. UNITED STATES
    • 11.1.2. CANADA
  • 11.2. EUROPE
    • 11.2.1. UNITED KINGDOM
    • 11.2.2. GERMANY
    • 11.2.3. FRANCE
    • 11.2.4. SPAIN
    • 11.2.5. ITALY
    • 11.2.6. REST OF EUROPE
  • 11.3. ASIA PACIFIC
    • 11.3.1. CHINA
    • 11.3.2. JAPAN
    • 11.3.3. INDIA
    • 11.3.4. SOUTH KOREA
    • 11.3.5. AUSTRALIA
    • 11.3.6. REST OF ASIA PACIFIC
  • 11.4. REST OF WORLD
    • 11.4.1. LATIN AMERICA
    • 11.4.2. MIDDLE EAST & AFRICA

12. COMPANY PROFILES

  • 12.1. ASYSTOM
  • 12.2. C3.ai Inc.
  • 12.3. SOFTWARE AG
  • 12.4. SCHNEIDER ELECTRIC SE
  • 12.5. SAS INSTITUTE INC.
  • 12.6. SAP SE
  • 12.7. PTC INC.
  • 12.8. MICROSOFT CORPORATION
  • 12.9. IBM CORPORATION
  • 12.10. HITACHI LTD.
  • 12.11. GENERAL ELECTRIC
  • 12.12. UPTAKE TECHNOLOGIES
  • 12.13. TIBCO SOFTWARE INC.
  • 12.14. SPARK COGNITION INC.
  • 12.15. FIIX INC.
Back to Top