欧洲预测性维护市场，按组件（解决方案、服务）、部署模式（云、本地）、组织规模（大型企业、中小型企业）、垂直行业（制造业、能源和公用事业、交通运输、政府、医疗保健、航空航天和国防等）划分 - 行业趋势和预测至 2029 年
市场分析和规模
预测性维护可大幅提高投资回报率。它可以将维护成本降低 25%-30%，将故障率降低 70%-75%，将停机时间缩短 35%-45%。这些服务正在被广泛部署，因为它们可以为企业节省总体成本。
2021 年欧洲预测性维护市场价值为 4.9088 亿美元，预计到 2029 年将达到 348.2324 亿美元，在 2022-2029 年的预测期内复合年增长率为 40.10%。制造业占相应市场中最大的垂直细分市场，这是由于制造业的自动化导致相应市场中垂直细分市场的兴起。除了市场价值、增长率、细分市场、地理覆盖范围、市场参与者和市场情景等市场洞察外，Data Bridge 市场研究团队策划的市场报告还包括深入的专家分析、进出口分析、定价分析、生产消费分析和 pestle 分析。
市场定义
预测性维护是一种利用数据分析技术和工具来检测业务运营异常的技术。这些技术还可以检测设备和流程中可能存在的缺陷，以便在导致故障之前进行修复。
报告范围和市场细分
|
报告指标 |
细节 |
|
预测期 |
2022 至 2029 年 |
|
基准年 |
2021 |
|
历史岁月 |
2020（可定制为 2014 - 2019） |
|
定量单位 |
收入（百万美元）、销量（单位）、定价（美元） |
|
涵盖的领域 |
组件（解决方案、服务）、部署模式（云、本地）、组织规模（大型企业、中小型企业）、垂直（制造业、能源和公用事业、交通运输、政府、医疗保健、航空航天和国防、其他） |
|
覆盖国家 |
欧洲的德国、法国、英国、荷兰、瑞士、比利时、俄罗斯、意大利、西班牙、土耳其和欧洲其他地区。 |
|
涵盖的市场参与者 |
IBM（美国）、SAP SE（德国）、微软（美国）、西门子（德国）、通用电气（美国）、施耐德电气（法国）、Software AG（德国）、C3.ai, Inc.（美国）、DINGO Software Pty. Ltd.（澳大利亚）、Splunk Inc.（美国）、甲骨文（美国）、Amazon Web Services, Inc.（美国）、日立有限公司（日本）、ABB（瑞典）、华为技术有限公司（中国）、英特尔公司（美国）和 SKF（瑞典）等 |
|
市场机会 |
|
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.
竞争格局和欧洲预测性维护市场
预测性维护市场竞争格局按竞争对手提供详细信息。详细信息包括公司概况、公司财务状况、产生的收入、市场潜力、研发投资、新市场计划、全球影响力、生产基地和设施、生产能力、公司优势和劣势、产品发布、产品宽度和广度、应用主导地位。以上提供的数据点仅与公司对预测性维护市场的关注有关。
预测性维护市场的一些主要参与者包括
- IBM（美国）
- SAP SE（德国）
- 微软 (美国)
- 西门子（德国）
- 通用电气（美国）
- 施耐德电气（法国）
- Software AG（德国）
- C3.ai, Inc.（美国）
- DINGO Software Pty. Ltd.（澳大利亚）
- Splunk Inc.（美国）
- 甲骨文 (美国)
- 亚马逊网络服务公司（美国）
- 日立有限公司（日本）
- ABB（瑞典）
- 华为技术有限公司 (中国)
- 英特尔公司（美国）
- SKF（瑞典）
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目录
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
表格列表
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)
图片列表
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 (%)
研究方法
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.
可定制
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.
