中东和非洲预测性维护市场，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
众所周知，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 年中东和非洲预测性维护市场价值为 4.9715 亿美元，预计到 2029 年将达到 258.7863 亿美元，在 2022-2029 年的预测期内复合年增长率为 37.70%。由于制造业自动化程度的提高，制造业成为各自市场中最大的垂直细分市场。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、生产消费分析和杵分析。
市场定义
预测性维护是指利用数据分析技术和工具检测业务运营异常的一种技术。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 |
沙特阿拉伯、阿联酋、以色列、埃及、南非、中东和非洲 (MEA) 其他地区作为中东和非洲 (MEA) 的一部分。 |
|
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 |
|
Middle East and Africa 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 need to aggregate and explore textual data to obtain new insights acts as 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 along with external data sources for acquiring new efficiencies assist in the expansion of the market.
- Prevent Unplanned Reactive Maintenance
The increase in the adoption of predictive maintenance programs to prevent unplanned reactive maintenance further influence the market. These services allows the maintenance frequency to be as low as possible for preventing 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 requirement of frequent maintenance and up gradation to keep the systems updated are expected to obstruct market growth. Also, 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 Middle East and Africa Predictive Maintenance Market
COVID-19 疫情对预测性维护市场产生了积极影响。它帮助全球数百万人利用先进工具进行各种应用。各种中小企业和大型企业在人工智能和机器学习等技术方面的投资激增，以改善业务运营。这些服务在疫情期间非常有用，因为对资产和业务流程的远程监控和管理需求很高。由于采用了使用人工智能和物联网技术的智能制造流程，预计预测性维护将在 COVID-19 后实现高增长。
中东和非洲预测性维护市场范围和市场规模
预测性维护市场根据组件、部署模式、组织规模和垂直行业进行细分。这些细分市场之间的增长情况将帮助您分析行业中增长缓慢的细分市场，并为用户提供有价值的市场概览和市场洞察，帮助他们做出战略决策，确定核心市场应用。
成分
- 解决方案
- 服务
部署模式
- 云
- 本地部署
组织规模
- 大型企业
- 中小企业
垂直的
- 制造业
- 能源和公用事业
- 运输
- 政府
- 卫生保健
- 航空航天和国防
- 其他的
中东和非洲预测性维护市场区域分析/见解
对预测性维护市场进行了分析，并按上述国家、组成部分、部署模式、组织规模和垂直行业提供了市场规模洞察和趋势。
预测性维护市场报告涵盖的国家包括沙特阿拉伯、阿联酋、以色列、埃及、南非、中东和非洲 (MEA) 的其他地区。
南非占据最大的市场份额是由于人们越来越关注提高设备正常运行时间和降低维护成本。
报告的国家部分还提供了影响单个市场因素和国内市场监管变化，这些因素和变化会影响市场的当前和未来趋势。下游和上游价值链分析、技术趋势和波特五力分析、案例研究等数据点是用于预测单个国家市场情景的一些指标。此外，在提供国家数据的预测分析时，还考虑了全球品牌的存在和可用性以及它们因来自本地和国内品牌的激烈或稀缺竞争而面临的挑战、国内关税和贸易路线的影响。
竞争格局和中东和非洲预测性维护市场
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 MIDDLE EAST AND AFRICA 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 MIDDLE EAST AND AFRICA 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 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE
8.1 OVERVIEW
8.1.1 ON-PREMISE
8.1.2 CLOUD
9 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY ORGANISATION SIZE
9.1 OVERVIEW
9.1.1 LARGE ORGANISATION
9.1.2 SMALL & MEDIUM ORGANISATION
10 MIDDLE EAST AND AFRICA 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 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY GEOGRAPHY
11.1 MIDDLE EAST AND AFRICA
11.1.1 SOUTH AFRICA
11.1.2 SAUDI ARABIA
11.1.3 U.A.E
11.1.4 ISRAEL
11.1.5 EGYPT
11.1.6 REST OF MIDDLE EAST AND AFRICA
12 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET: COMPANY LANDSCAPE
12.1 COMPANY SHARE ANALYSIS: MIDDLE EAST AND AFRICA
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 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 2 MIDDLE EAST AND AFRICA SOLUTION IN PREDICTIVE MAINTENANCEMARKET, BY REGION,2018-2027 (USD MILLION)
TABLE 3 MIDDLE EAST AND AFRICA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY REGION,2018-2027, (USD MILLION)
TABLE 4 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE, 2018-2027 (USD MILLION)
TABLE 5 MIDDLE EAST AND AFRICA ON-PREMISE IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 6 MIDDLE EAST AND AFRICA CLOUD IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 7 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY ORGANISATION SIZE, 2018-2027 (USD MILLION)
TABLE 8 MIDDLE EAST AND AFRICA LARGE ORGANISATION IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 9 MIDDLE EAST AND AFRICA SMALL & MEDIUMORGANISATION IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 10 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL, 2018-2027 (USD MILLION)
TABLE 11 MIDDLE EAST AND AFRICA MANUFACTURING IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 12 MIDDLE EAST AND AFRICA ENERGY & UTILITIES IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 13 MIDDLE EAST AND AFRICA GOVERNMENT IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 14 MIDDLE EAST AND AFRICA HEALTHCARE IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 15 MIDDLE EAST AND AFRICA TRANSPORT IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 16 MIDDLE EAST AND AFRICA AEROSPACE &DEFENSE IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 17 MIDDLE EAST AND AFRICA OTHERS IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 18 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET , BY COUNTRY, 2018-2027 (USD MILLION)
TABLE 19 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 20 MIDDLE EAST AND AFRICA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 21 MIDDLE EAST AND AFRICA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 22 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 23 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 24 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 25 SOUTH AFRICA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 26 SOUTH AFRICA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 27 SOUTH AFRICA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 28 SOUTH AFRICA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 29 SOUTH AFRICA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 30 SOUTH AFRICA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 31 SAUDI ARABIA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 32 SAUDI ARABIA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 33 SAUDI ARABIA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 34 SAUDI ARABIA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 35 SAUDI ARABIA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 36 SAUDI ARABIA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 37 U.A.E PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 38 U.A.E SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 39 U.A.E SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 40 U.A.E PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 41 U.A.E PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 42 U.A.E PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 43 ISRAEL PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 44 ISRAEL SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 45 ISRAEL SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 46 ISRAEL PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 47 ISRAEL PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 48 ISRAEL PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 49 EGYPT PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 50 EGYPT SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 51 EGYPT SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 52 EGYPT PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 53 EGYPT PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 54 EGYPT PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 55 REST OF MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
图片列表
LIST OF FIGURES
FIGURE 1 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET: SEGMENTATION
FIGURE 2 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET: DATA TRIANGULATION
FIGURE 3 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET: DROC ANALYSIS
FIGURE 4 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET: MIDDLE EAST AND AFRICA VS REGIONAL MARKET ANALYSIS
FIGURE 5 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET: COMPANY RESEARCH ANALYSIS
FIGURE 6 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET: INTERVIEW DEMOGRAPHICS
FIGURE 7 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET: DBMR MARKET POSITION GRID
FIGURE 8 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET: VENDOR SHARE ANALYSIS
FIGURE 9 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET: SEGMENTATION
FIGURE 10 RISING DEMAND OF PREDICTIVE MAINTENANCE IN VARIOUS VERTICALS IS EXPECTED TO DRIVE THE MIDDLE EAST AND AFRICA 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 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET IN 2020 & 2027
FIGURE 12 DRIVERS, RESTRAINTS, OPPORTUNITIES AND CHALLENGES OF MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET
FIGURE 13 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET: BY COMPONENT, 2019
FIGURE 14 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET: BY DEPLOYMENT MODE, 2019
FIGURE 15 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET: BY ORGANISATION SIZE, 2019
FIGURE 16 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET: BY VERTICAL, 2019
FIGURE 17 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET : SNAPSHOT (2019)
FIGURE 18 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2019)
FIGURE 19 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2020 & 2027)
FIGURE 20 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2019 & 2027)
FIGURE 21 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET : BY COMPONENT(2020-2027)
FIGURE 22 MIDDLE EAST AND AFRICA 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.
