Request for TOC Request for Sample
BUY NOW

Europe Predictive Maintenance Market – Industry Trends and Forecast to 2029

ICT | Upcoming Report | May 2022 | Europe | 350 Pages | No of Tables: 220 | No of Figures: 60
Nucleus

Circumvent the Tariff challenges with an agile supply chain Consulting

Supply Chain Ecosystem Analysis now part of DBMR Reports

Europe Predictive Maintenance Market, By Components (Solution, Services), Deployment Mode (Cloud, On-Premise), Organisation Size (Large Enterprises, Small and Medium-Sized Enterprises), Vertical (Manufacturing, Energy and Utilities, Transportation, Government, Healthcare, Aerospace and Defense, Others) - Industry Trends and Forecast to 2029

Market Analysis and Size

Predictive maintenance is known to lead a huge increase in ROI. It can decline maintenance costs up to 25%-30%, decrease breakdowns to 70%-75%, and reduce downtime to 35%-45%. These services are being highly deployed as they save overall cost for enterprises.

Europe Predictive Maintenance Market was valued at USD 490.88 million in 2021 and is expected to reach USD 34823.24 million by 2029, registering a CAGR of 40.10% during the forecast period of 2022-2029. Manufacturing accounts for the largest vertical segment in the respective market owing to the rise in the vertical segment in the respective market due to the automation in the manufacturing sector. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team also includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.

Market Definition

Predictive maintenance is a technique that utilizes data analysis techniques and tools to detect anomalies in business operations. These also detect possible defects in equipment and processes so that they can be fixed before they result in failure.

Report Scope and Market Segmentation

Report Metric

Details

Forecast Period

2022 to 2029

Base Year

2021

Historic Years

2020 (Customizable to 2014 - 2019)

Quantitative Units

Revenue in USD Million, Volumes in Units, Pricing in USD

Segments Covered

Components (Solution, Services), Deployment Mode (Cloud, On-Premise), Organisation Size (Large Enterprises, Small and Medium-Sized Enterprises), Vertical (Manufacturing, Energy and Utilities, Transportation, Government, Healthcare, Aerospace and Defense, Others)

Countries Covered

Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, and Rest of Europe in Europe.

Market Players Covered

IBM (US), SAP SE (Germany), Microsoft (US), Siemens (Germany), GENERAL ELECTRIC (US), Schneider Electric (France), Software AG (Germany), C3.ai, Inc. (US), DINGO Software Pty. Ltd. (Australia), Splunk Inc. (US), Oracle (US), Amazon Web Services, Inc. (US), Hitachi, Ltd. (Japan), ABB (Sweden), Huawei Technologies Co., Ltd. (China), Intel Corporation (US), and SKF (Sweden), among others

Market Opportunities

  • Need for real-time condition monitoring to assist in taking prompt actions
  • Increase in the usage of connected and integrated technologies
  • Rise in the emergence of big data analytics

Europe Predictive Maintenance Market Dynamics

This section deals with understanding the market drivers, advantages, opportunities, restraints and challenges. All of this is discussed in detail as below:

Drivers

  • Need to Obtain New Insights

The increase in the need to aggregate and explore textual data to obtain new insights is one of the major factors driving the predictive maintenance market. The incorporation of industry technology, knowledge, and practices to drive business outcomes has a positive impact on the market.

  • Emergence of Big Data Analytics

The rise in the emergence of big data analytics across the region accelerate the market growth. Numerous enterprises are focusing on combining disparate internal data and external data sources for acquiring new efficiencies to assist in expanding the market.

  • Prevent Unplanned Reactive Maintenance

The increased adoption of predictive maintenance programs to prevent unplanned reactive maintenance further influences the market. These services allow the maintenance frequency to be as low as possible to prevent unplanned reactive maintenance without incurring costs.

Additionally, rapid urbanization, change in lifestyle, surge in investments and increased consumer spending positively impact the predictive maintenance market.

Opportunities

Furthermore, need for real-time condition monitoring to assist in taking prompt actions and rise in internet proliferation extend profitable opportunities to the market players in the forecast period of 2022 to 2029. The increase in the usage of connected and integrated technologies will further expand the market.

Restraints/Challenges

On the other hand, factors such as data security concerns along with the requirement of frequent maintenance and up gradation to keep the systems updated are expected to obstruct market growth. Also, the lack of skilled workforce and complications with ownership and privacy of collected data are projected to challenge the predictive maintenance market in the forecast period of 2022-2029.

This predictive maintenance market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on predictive maintenance market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

COVID-19 Impact on Europe Predictive Maintenance Market

The COVID-19 pandemic had a positive impact on the predictive maintenance market. It helped millions of people globally in leveraging advanced tools for various applications. The surge in investments by various SMEs and large enterprises in technologies such as AI and machine learning for improving business operations. These services were highly useful during the pandemic due to the high need for remote monitoring and management of assets and business processes. The predictive maintenance is expected to witness high growth Post-COVID-19 due to the adoption of smart manufacturing processes using AI, and IoT technologies.

Recent Developments

  • In June 2020, PTC launched an advanced ThingWorx 9. Industrial IoT platform to enhance scalability, simplify solution development and expand OPC UA support for enterprise deployments. This will help the company to enhance their product portfolio and better meet consumers changing demand.

Europe Predictive Maintenance Market Scope and Market Size

The predictive maintenance market is segmented on the basis of components, deployment mode, organisation size and vertical. The growth amongst these segments will help you analyze meager growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Components

  • Solution
  • Services

Deployment Mode

  • Cloud
  • On-Premise

Organisation Size

  • Large Enterprises
  • Small and Medium-Sized Enterprises

Vertical

  • Manufacturing
  • Energy and Utilities
  • Transportation
  • Government
  • Healthcare
  • Aerospace and Defense
  • Others

Europe Predictive Maintenance Market Regional Analysis/Insights

The predictive maintenance market is analysed and market size insights and trends are provided by country, components, deployment mode, organisation size and vertical as referred above.

The countries covered in the predictive maintenance market report are Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, and Rest of Europe in Europe.

Germany has been accounted for the largest market share in Europe predictive maintenance market due to growing expansion of manufacturing plants to fulfil the growing demand, this factor tends to increase the growth of predictive maintenance in the country.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.   

Competitive Landscape and Europe Predictive Maintenance Market

The predictive maintenance market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to predictive maintenance market.

Some of the major players operating in predictive maintenance market are

  • IBM (US)
  • SAP SE (Germany)
  • Microsoft (US)
  • Siemens (Germany)
  • GENERAL ELECTRIC (US)
  • Schneider Electric (France)
  • Software AG (Germany)
  • C3.ai, Inc. (US)
  • DINGO Software Pty. Ltd. (Australia)
  • Splunk Inc. (US)
  • Oracle (US)
  • Amazon Web Services, Inc. (US)
  • Hitachi, Ltd. (Japan)
  • ABB (Sweden)
  • Huawei Technologies Co., Ltd. (China)
  • Intel Corporation (US)
  • SKF (Sweden)


SKU-

Get online access to the report on the World's First Market Intelligence Cloud

  • Interactive Data Analysis Dashboard
  • Company Analysis Dashboard for high growth potential opportunities
  • Research Analyst Access for customization & queries
  • Competitor Analysis with Interactive dashboard
  • Latest News, Updates & Trend analysis
  • Harness the Power of Benchmark Analysis for Comprehensive Competitor Tracking

Table of Content

1 INTRODUCTION

1.1 OBJECTIVES OF THE STUDY

1.2 MARKET DEFINITION

1.3 OVERVIEW OF EUROPE PREDICTIVE MAINTENANCE MARKET

1.4 LIMITATIONS

1.5 MARKETS COVERED

2 MARKET SEGMENTATION

2.1 MARKETS COVERED

2.2 GEOGRAPHICAL SCOPE

2.3 YEARS CONSIDERED FOR THE STUDY

2.4 CURRENCY AND PRICING

2.5 DBMR TRIPOD DATA VALIDATION MODEL

2.6 MULTIVARIATE MODELLING

2.7 COMPONENTS LIFELINE CURVE

2.8 PRIMARY INTERVIEWS WITH KEY OPINION LEADERS

2.9 DBMR MARKET POSITION GRID

2.1 VENDOR SHARE ANALYSIS

2.11 SECONDARY SOURCES

2.12 ASSUMPTIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

5 COVID-19IMPACT ON PREDICTIVE MAINTENANCE MARKET

5.1 AFTERMATH OF COVID-19 AND GOVERNMENT INITIATIVE TO BOOST THE MARKET

5.2 STRATEGIC DECISIONS FOR MANUFACTURERS AFTER COVID-19 TO GAIN COMPETITIVE MARKET SHARE

5.3 IMPACT ON DEMAND

5.4 IMPACT ON SUPPLY CHAIN

5.5 CONCLUSION

6 MARKET OVERVIEW

6.1 DRIVERS

6.1.1 INCREASING CONCERN TOWARDS IMPROVEMENT OF UPTIME OF EQUIPMENT AND MAINTENANCE COST REDUCTION

6.1.2 RISING DEMAND OF PREDICTIVE MAINTENANCE IN VARIOUS VERTICALS

6.1.3 INCREASING USE OF EMERGING TECHNOLOGIES TO GAIN VALUABLE INSIGHTS

6.1.4 RISING DEMAND OF SENSORS AMONG INDUSTRIES

6.2 RESTRAINTS

6.2.1 LACK OF SKILLED WORKERS

6.2.2 LOW LEVEL OF AWARENESS AMONG ENTERPRISES

6.2.3 TRUST ISSUES WITH PREDICTIVE MAINTENANCE TECHNOLOGY

6.3 OPPORTUNITIES

6.3.1 REAL-TIME MONITORING CONDITION TO ASSIST IN TAKING PROMPT ACTIONS

6.3.2 COVID-19 PANDEMIC RAISING THE NEED FOR REMOTE CONTROL AND MANAGEMENT OF PROPERTIES AND BUSINESS PROCESSES

6.3.3 RISING TECHNOLOGICAL INNOVATION

6.4 CHALLENGES

6.4.1 CONCERN OVER DATA SECURITY AND PRIVACY ISSUES

6.4.2 DEVELOPING FUNCTIONAL PREDICTIVE MAINTENANCE SOLUTIONS APPLICABLE TO MANUFACTURING

6.4.3 CONTINOUS UPGRADATION AND MAINTENANCE REQUIRED FOR SYSTEM

6.4.4 HIGH COST INVOLVED IN SETTING UP THE MACHINERY AND EQUIPMENT

7 EUROPE PREDICTIVE MAINTENANCE MARKET, BY COMPONENT

7.1 OVERVIEW

7.2 SOLUTIONS

7.2.1 INTEGRATED

7.2.2 STAND-ALONE

7.3 SERVICES

7.3.1 TRAINING & CONSULTING

7.3.2 IMPLEMENTATION

7.3.3 SUPPORT & MAINTENANCE

8 EUROPE PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE

8.1 OVERVIEW

8.1.1 ON-PREMISE

8.1.2 CLOUD

9 EUROPE PREDICTIVE MAINTENANCE MARKET, BY ORGANISATION SIZE

9.1 OVERVIEW

9.1.1 LARGE ORGANISATION

9.1.2 SMALL & MEDIUM ORGANISATION

10 EUROPE PREDICTIVE MAINTENANCE MARKET, BY VERTICALS

10.1 OVERVIEW

10.1.1 MANUFACTURING

10.1.2 ENERGY & UTILITIES

10.1.3 GOVERNMENT

10.1.4 HEALTHCARE

10.1.5 TRANSPORT

10.1.6 AEROSPACE & DEFENSE

10.1.7 OTHERS

11 EUROPE PREDICTIVE MAINTENANCE MARKET, BY GEOGRAPHY

11.1 EUROPE

11.1.1 GERMANY

11.1.2 U.K.

11.1.3 FRANCE

11.1.4 RUSSIA

11.1.5 ITALY

11.1.6 SPAIN

11.1.7 NETHERLANDS

11.1.8 SWITZERLAND

11.1.9 BELGIUM

11.1.10 TURKEY

11.1.11 REST OF EUROPE

12 EUROPE PREDICTIVE MAINTENANCE MARKET: COMPANY LANDSCAPE

12.1 COMPANY SHARE ANALYSIS: EUROPE

13 SWOT ANALYSIS

14 COMPANY PROFILE

14.1 IBM CORPORATION

14.1.1 COMPANY SNAPSHOT

14.1.2 REVENUE ANALYSIS

14.1.3 COMPANY SHARE ANALYSIS

14.1.4 PRODUCT PORTFOLIO

14.1.5 RECENT DEVELOPMENTS

14.2 SAP SE

14.2.1 COMPANY SNAPSHOT

14.2.2 REVENUE ANALYSIS

14.2.3 COMPANY SHARE ANALYSIS

14.2.4 PRODUCT PORTFOLIO

14.2.5 RECENT DEVELOPMENTS

14.3 SIEMENS

14.3.1 COMPANY SNAPSHOT

14.3.2 REVENUE ANALYSIS

14.3.3 COMPANY SHARE ANALYSIS

14.3.4 PRODUCT PORTFOLIO

14.3.5 RECENT DEVELOPMENTS

14.4 MICROSOFT

14.4.1 COMPANY SNAPSHOT

14.4.2 REVENUE ANALYSIS

14.4.3 COMPANY SHARE ANALYSIS

14.4.4 PRODUCT PORTFOLIO

14.4.5 RECENT DEVELOPMENT

14.5 GENERAL ELECTRIC

14.5.1 COMPANY SNAPSHOT

14.5.2 REVENUE ANALYSIS

14.5.3 COMPANY SHARE ANALYSIS

14.5.4 PRODUCT PORTFOLIO

14.5.5 RECENT DEVELOPMENTS

14.6 ABB

14.6.1 COMPANY SNAPSHOT

14.6.2 REVENUE ANALYSIS

14.6.3 PRODUCT PORTFOLIO

14.6.4 RECENT DEVELOPMENTS

14.7 AMAZON WEB SERVICES, INC. (A SUBSIDIARY OF AMAZON)

14.7.1 COMPANY SNAPSHOT

14.7.2 REVENUE ANALYSIS

14.7.3 PRODUCT PORTFOLIO

14.7.4 RECENT DEVELOPMENTS

14.8 C3.AI, INC.

14.8.1 COMPANY SNAPSHOT

14.8.2 PRODUCT PORTFOLIO

14.8.3 RECENT DEVELOPMENTS

14.9 DINGO SOFTWARE PTY. LTD

14.9.1 COMPANY SNAPSHOT

14.9.2 PRODUCT PORTFOLIO

14.9.3 RECENT DEVELOPMENT

14.1 HITACHI, LTD.

14.10.1 COMPANY SNAPSHOT

14.10.2 REVENUE ANALYSIS

14.10.3 PRODUCT PORTFOLIO

14.10.4 RECENT DEVELOPMENT

14.11 HUAWEI TECHNOLOGIES CO., LTD.

14.11.1 COMPANY SNAPSHOT

14.11.2 REVENUE ANALYSIS

14.11.3 PRODUCT PORTFOLIO

14.11.4 RECENT DEVELOPMENT

14.12 INTEL CORPORATION

14.12.1 COMPANY SNAPSHOT

14.12.2 REVENUE ANALYSIS

14.12.3 PRODUCT PORTFOLIO

14.12.4 RECENT DEVELOPMENT

14.13 ORACLE

14.13.1 COMPANY SNAPSHOT

14.13.2 REVENUE ANALYSIS

14.13.3 PRODUCT PORTFOLIO

14.13.4 RECENT DEVELOPMENT

14.14 PTC

14.14.1 COMPANY SNAPSHOT

14.14.2 REVENUE ANALYSIS

14.14.3 PRODUCT PORTFOLIO

14.14.4 RECENT DEVELOPMENTS

14.15 SCHNEIDER ELECTRIC

14.15.1 COMPANY SNAPSHOT

14.15.2 REVENUE ANALYSIS

14.15.3 PRODUCT PORTFOLIO

14.15.4 RECENT DEVELOPMENTS

14.16 SKF

14.16.1 COMPANY SNAPSHOT

14.16.2 REVENUE ANALYSIS

14.16.3 PRODUCT PORTFOLIO

14.16.4 RECENT DEVELOPMENTS

14.17 SOFTWARE AG

14.17.1 COMPANY SNAPSHOT

14.17.2 REVENUE ANALYSIS

14.17.3 PRODUCT PORTFOLIO

14.17.4 RECENT DEVELOPMENTS

14.18 SOFTWEB SOLUTIONS INC. (AN AVNET COMPANY)

14.18.1 COMPANY SNAPSHOT

14.18.2 REVENUE ANALYSIS

14.18.3 PRODUCT PORTFOLIO

14.18.4 RECENT DEVELOPMENTS

14.19 SPLUNK INC.

14.19.1 COMPANY SNAPSHOT

14.19.2 REVENUE ANALYSIS

14.19.3 PRODUCT PORTFOLIO

14.19.4 RECENT DEVELOPMENTS

14.2 UPTAKE TECHNOLOGIES INC

14.20.1 COMPANY SNAPSHOT

14.20.2 PRODUCT PORTFOLIO

14.20.3 RECENT DEVELOPMENTS

15 QUESTIONNAIRE

16 RELATED REPORTS

List of Table

LIST OF TABLES

TABLE 1 EUROPE PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)

TABLE 2 EUROPE SOLUTION IN PREDICTIVE MAINTENANCEMARKET, BY REGION,2018-2027 (USD MILLION)

TABLE 3 EUROPE SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY REGION,2018-2027, (USD MILLION)

TABLE 4 EUROPE PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE, 2018-2027 (USD MILLION)

TABLE 5 EUROPE ON-PREMISE IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)

TABLE 6 EUROPE CLOUD IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)

TABLE 7 EUROPE PREDICTIVE MAINTENANCE MARKET, BY ORGANISATION SIZE, 2018-2027 (USD MILLION)

TABLE 8 EUROPE LARGE ORGANISATION IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)

TABLE 9 EUROPE SMALL & MEDIUMORGANISATION IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)

TABLE 10 EUROPE PREDICTIVE MAINTENANCE MARKET, BY VERTICAL, 2018-2027 (USD MILLION)

TABLE 11 EUROPE MANUFACTURING IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)

TABLE 12 EUROPE ENERGY & UTILITIES IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)

TABLE 13 EUROPE GOVERNMENT IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)

TABLE 14 EUROPE HEALTHCARE IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)

TABLE 15 EUROPE TRANSPORT IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)

TABLE 16 EUROPE AEROSPACE &DEFENSE IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)

TABLE 17 EUROPE OTHERS IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)

TABLE 18 EUROPE PREDICTIVE MAINTENANCE MARKET , BY COUNTRY, 2018-2027 (USD MILLION)

TABLE 19 EUROPE PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)

TABLE 20 EUROPE SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 21 EUROPE SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 22 EUROPE PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)

TABLE 23 EUROPE PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)

TABLE 24 EUROPE PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)

TABLE 25 GERMANY PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)

TABLE 26 GERMANY SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 27 GERMANY SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 28 GERMANY PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)

TABLE 29 GERMANY PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)

TABLE 30 GERMANY PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)

TABLE 31 U.K. PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)

TABLE 32 U.K. SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 33 U.K. SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 34 U.K. PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)

TABLE 35 U.K. PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)

TABLE 36 U.K. PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)

TABLE 37 FRANCE PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)

TABLE 38 FRANCE SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 39 FRANCE SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 40 FRANCE PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)

TABLE 41 FRANCE PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)

TABLE 42 FRANCE PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)

TABLE 43 RUSSIA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)

TABLE 44 RUSSIA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 45 RUSSIA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 46 RUSSIA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)

TABLE 47 RUSSIA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)

TABLE 48 RUSSIA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)

TABLE 49 ITALY PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)

TABLE 50 ITALY SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 51 ITALY SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 52 ITALY PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)

TABLE 53 ITALY PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)

TABLE 54 ITALY PREDICTIVE MAINTENANCE MARKET, BY VERTICAL, 2018-2027 (USD MILLION)

TABLE 55 SPAIN PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)

TABLE 56 SPAIN SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 57 SPAIN SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 58 SPAIN PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)

TABLE 59 SPAIN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)

TABLE 60 SPAIN PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)

TABLE 61 NETHERLANDS PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)

TABLE 62 NETHERLANDS SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 63 NETHERLANDS SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 64 NETHERLANDS PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)

TABLE 65 NETHERLANDS PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)

TABLE 66 NETHERLANDS PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)

TABLE 67 SWITZERLAND PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)

TABLE 68 SWITZERLAND SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 69 SWITZERLAND SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 70 SWITZERLAND PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)

TABLE 71 SWITZERLAND PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)

TABLE 72 SWITZERLAND PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)

TABLE 73 BELGIUM PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)

TABLE 74 BELGIUM SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 75 BELGIUM SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 76 BELGIUM PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)

TABLE 77 BELGIUM PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)

TABLE 78 BELGIUM PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)

TABLE 79 TURKEY PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)

TABLE 80 TURKEY SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 81 TURKEY SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)

TABLE 82 TURKEY PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)

TABLE 83 TURKEY PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)

TABLE 84 TURKEY PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)

TABLE 85 REST OF EUROPE PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)

 

List of Figure

LIST OF FIGURES

FIGURE 1 EUROPE PREDICTIVE MAINTENANCE MARKET: SEGMENTATION

FIGURE 2 EUROPE PREDICTIVE MAINTENANCE MARKET: DATA TRIANGULATION

FIGURE 3 EUROPE PREDICTIVE MAINTENANCE MARKET: DROC ANALYSIS

FIGURE 4 EUROPE PREDICTIVE MAINTENANCE MARKET: EUROPE VS REGIONAL MARKET ANALYSIS

FIGURE 5 EUROPE PREDICTIVE MAINTENANCE MARKET: COMPANY RESEARCH ANALYSIS

FIGURE 6 EUROPE PREDICTIVE MAINTENANCE MARKET: INTERVIEW DEMOGRAPHICS

FIGURE 7 EUROPE PREDICTIVE MAINTENANCE MARKET: DBMR MARKET POSITION GRID

FIGURE 8 EUROPE PREDICTIVE MAINTENANCE MARKET: VENDOR SHARE ANALYSIS

FIGURE 9 EUROPE PREDICTIVE MAINTENANCE MARKET: SEGMENTATION

FIGURE 10 RISING DEMAND OF PREDICTIVE MAINTENANCE IN VARIOUS VERTICALS IS EXPECTED TO DRIVE THE EUROPE PREDICTIVE MAINTENANCE MARKET IN THE FORECAST PERIOD OF 2020 TO 2027

FIGURE 11 SOLUTION SEGMENT IS EXPECTED TO ACCOUNT FOR THE LARGEST SHARE OF THE EUROPE PREDICTIVE MAINTENANCE MARKET IN 2020 & 2027

FIGURE 12 DRIVERS, RESTRAINTS, OPPORTUNITIES AND CHALLENGES OF EUROPE PREDICTIVE MAINTENANCE MARKET

FIGURE 13 EUROPE PREDICTIVE MAINTENANCE MARKET: BY COMPONENT, 2019

FIGURE 14 EUROPE PREDICTIVE MAINTENANCE MARKET: BY DEPLOYMENT MODE, 2019

FIGURE 15 EUROPE PREDICTIVE MAINTENANCE MARKET: BY ORGANISATION SIZE, 2019

FIGURE 16 EUROPE PREDICTIVE MAINTENANCE MARKET: BY VERTICAL, 2019

FIGURE 17 EUROPE PREDICTIVE MAINTENANCE MARKET : SNAPSHOT (2019)

FIGURE 18 EUROPE PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2019)

FIGURE 19 EUROPE PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2020 & 2027)

FIGURE 20 EUROPE PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2019 & 2027)

FIGURE 21 EUROPE PREDICTIVE MAINTENANCE MARKET : BY COMPONENT(2020-2027)

FIGURE 22 EUROPE PREDICTIVE MAINTENANCE MARKET: COMPANY SHARE 2019 (%)

 

Research Methodology

Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.

The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

Customization Available

Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.

Testimonial
Claudio Rondena Group Business Development & Strategic Marketing Director,
C.O.C Farmaceutici SRL
"This morning we were involved in the first part, the data presentation of MKT analysis, selected abstract from your work. The board team was really impressed and very appreciated, as well."
David Manning - Thermo Fisher Scientific Director, Global Strategic Accounts,
Dear Ricky, I want to thank you for the excellent market analysis (LIMS INSTALLED BASE DATA) that you and your team delivered, especially end of year on short notice. Sachin and Shraddha captured the requirements, determined their path forward and executed quickly.
You, Sachin and Shraddha have been a pleasure to work with – very responsive, professional and thorough. Your work is much appreciated.
Manager - Market Analytics, Uriah D. Avila - Zeus Polymer Solutions
Thank you for all the assistance and the level of detail in the market report. We are very pleased with the results and the customization. We would like to continue to do business.
Business Development Manager, (Pharmaceuticals Partner for Nasal Sprays) | Renaissance Lakewood LLC
DBMR was attentive and engaged while discussing the Global Nasal Spray Market. They understood what we were looking for and was able to provide some examples from the report as requested. DBMR Service team has been responsive as needed. Depending on what my colleagues were looking for, I will recommend your services and would be happy to stay connected in case we can utilize your research in the future.
Business Intelligence and Analytics, Ipsen Biopharm Limited

We are impressed by the CENTRAL PRECOCIOUS PUBERTY (CPP) TREATMENT report - so a BIG thanks to you colleagues.

Competition Analyst, Basler Web

I just wanted to share a quick note and let you know that you guys did a really good job. I’m glad I decided to work with you. I shall continue being associated with your company as long as we have market intelligence needs.

Marketing Director, Buhler Group

It was indeed a good experience, would definitely recommend and come back for future prospects.

COO, A global leader providing Drug Delivery Services

DBMR did an outstanding job on the Global Drug Delivery project, We were extremely impressed by the simple but comprehensive presentation of the study and the quality of work done. This report really helped us to access untapped opportunities across the globe.

Marketing Director, Philips Healthcare

The study was customized to our targets and needs with well-defined milestones. We were impressed by the in-depth customization and inclusion of not only major but also minor players across the globe. The DBMR Market position grid helped us to analyze the market in different dimension which was very helpful for the team to get into the minute details.

Product manager, Fujifilms

Thankful to the team for the amazing coordination, and helping me at the last moment with my presentation. It was indeed a comprehensive report that gave us revenue impacting solution enabling us to plan the right move.

Investor relations, GE Healthcare

Thank you for the report, and addressing our needs in such short time. DBMR has outdone themselves in this project with such short timeframe.

Market Analyst, Medincell

We found the results of this study compelling and will help our organization validate a market we are considering to enter. Thank you for a job well done.

Andrew - Senior Global Marketing Manager, Medtronic (US)

I want to thank you for your help with this report – It’s been very helpful in our business planning and it well organized.

Amarildo - Manager, Global Strategic Alignment MasterCard

We believe the work done by Data Bridge Team for our requirements in the North America Loyalty Management Market was fantastic and would love to continue working with your team moving forward.

Tor Hammer Green Nexus LLc

Thank you for your quick response to this unfortunate circumstance. Please extend my thanks to your reach team. I will be contacting you in the future with further projects

Tommaso Finocchiaro Market Intelligence Specialist Nippon Gasses

I acknowledge the difficulty given by the very short warning for this report, and I think that its quality and your delivering time have been very satisfying. Obviously, as a provider Data Bridge Market Research will be considered as a plus for future needs of Nippon Gases.

Yuki Kopyl (Asian Business Development Department) UENO FOOD TECHNO INDUSTRY, LTD. (JAPAN)

Xylose report was very useful for our team. Thank you very much & hope to work with you again in the future