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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

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

Europe Predictive Maintenance Market

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-

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)

 

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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.

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FREQUENTLY ASK QUESTIONS

The Europe Predictive Maintenance Market will be worth USD 34823.24 million by 2029 during the forecast period.
The Europe Predictive Maintenance Market growth rate is 40.10% during the forecast period.
Need to obtain new insights, emergence of big data analytics and prevent unplanned reactive maintenance are the growth drivers of the Europe Predictive Maintenance Market.
The components, deployment mode, organisation size and vertical are the factors on which the Europe Predictive Maintenance Market research is based.
The PTC launched an advanced ThingWorx 9.O Industrial IoT platform to enhance scalability, simplify solution development and expand OPC UA support for enterprise deployments is the latest development in the Europe Predictive Maintenance Market.
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