Global Predictive Maintenance Market to reach USD 19.30 billion by 2027.

Global Predictive Maintenance Market Size study, By Component (Solutions and services), Deployment Model (Cloud and on-premises), Organization size (Large enterprises and Small and medium-sized enterprises), By Vertical (Government and Defense, Manufacturing, Energy and Utilities, Transportation & Logistics and Healthcare and Life Sciences) and Regional Forecasts 2020-2027
Product Code:  OIRIGAS_27412028
Chapter 1.	Executive Summary 
1.1.	Market Snapshot
1.2.	Global & Segmental Market Estimates & Forecasts, 2018-2027 (USD Billion)
1.2.1.	Predictive Maintenance Market, by Region, 2018-2027 (USD Billion)
1.2.2.	Predictive Maintenance Market, by Component, 2018-2027 (USD Billion)
1.2.3.	Predictive Maintenance Market, by Deployment mode, 2018-2027 (USD Billion)
1.2.4.	Predictive Maintenance Market, by, Organization size 2018-2027 (USD Billion)
1.2.5.	Predictive Maintenance Market, by, Vertical 2018-2027 (USD Billion)
1.3.	Key Trends
1.4.	Estimation Methodology
1.5.	Research Assumption
Chapter 2.	Global Predictive Maintenance Market Definition and Scope 
2.1.	Objective of the Study
2.2.	Market Definition & Scope
2.2.1.	Scope of the Study
2.2.2.	Industry Evolution
2.3.	Years Considered for the Study
2.4.	Currency Conversion Rates
Chapter 3.	Global Predictive Maintenance Market Dynamics	
3.1.	Predictive Maintenance Market Impact Analysis (2018-2027)
3.1.1.	Market Drivers
3.1.2.	Market Challenges
3.1.3.	Market Opportunities
Chapter 4.	Global Predictive Maintenance Market Industry Analysis
4.1.	Porter’s 5 Force Model
4.1.1.	Bargaining Power of Suppliers
4.1.2.	Bargaining Power of Buyers
4.1.3.	Threat of New Entrants
4.1.4.	Threat of Substitutes
4.1.5.	Competitive Rivalry
4.1.6.	Futuristic Approach to Porter’s 5 Force Model (2017-2027)
4.2.	PEST Analysis
4.2.1.	Political 
4.2.2.	Economical
4.2.3.	Social 
4.2.4.	Technological 
4.3.	Investment Adoption Model
4.4.	Analyst Recommendation & Conclusion
Chapter 5.	Global Predictive Maintenance Market, by Component
5.1.	Market Snapshot 
5.2.	Global Predictive Maintenance Market by Component, Performance - Potential Analysis
5.3.	Global Predictive Maintenance Market Estimates & Forecasts by Component 2017-2027 (USD Billion)
5.4.	Predictive Maintenance Market, Sub Segment Analysis
5.4.1.	 Solutions
5.4.2.	 Services  
Chapter 6.	Global Predictive Maintenance Market, by Deployment Mode 
6.1.	Market Snapshot 
6.2.	Global Predictive Maintenance Market by Deployment Mode , Performance - Potential Analysis
6.3.	Global Predictive Maintenance Market Estimates & Forecasts by Deployment mode  2017-2027 (USD Billion)
6.4.	Predictive Maintenance Market, Sub Segment Analysis
6.4.1.	 Cloud 
6.4.2.	 On-premises  	
Chapter 7.	Global Predictive Maintenance Market, by Organization size 
7.1.	Market Snapshot 
7.2.	Global Predictive Maintenance Market by Organization size , Performance - Potential Analysis
7.3.	Global Predictive Maintenance Market Estimates & Forecasts by Organization size 2017-2027 (USD Billion)
7.4.	Predictive Maintenance Market, Sub Segment Analysis
7.4.1.	 Large enterprises 
7.4.2.	 Small and medium-sized enterprises   	
Chapter 8.	Global Predictive Maintenance Market, by Vertical
8.1.	Market Snapshot 
8.2.	Global Predictive Maintenance Market by Vertical, Performance - Potential Analysis
8.3.	Global Predictive Maintenance Market Estimates & Forecasts by Vertical 2017-2027 (USD Billion)
8.4.	Predictive Maintenance Market, Sub Segment Analysis
8.4.1.	 Government and Defence 
8.4.2.	 Manufacturing 
8.4.3.	 Energy and Utilities 
8.4.4.	Transportation & Logistics 
8.4.5.	 Healthcare and Life Sciences 
Chapter 9.	Global Predictive Maintenance Market, Regional Analysis
9.1.	Predictive Maintenance Market, Regional Market Snapshot 
9.2.	North America Predictive Maintenance Market 
9.2.1.	U.S. Predictive Maintenance Market
9.2.1.1.	Component breakdown estimates & forecasts, 2017-2027  
9.2.1.2.	Deployment mode breakdown estimates & forecasts, 2017-2027  
9.2.1.3.	Organization size mode breakdown estimates & forecasts, 2017-2027  
9.2.1.4.	Vertical breakdown estimates & forecasts, 2017-2027
9.2.2.	Canada Predictive Maintenance Market
9.3.	Europe Predictive Maintenance Market Snapshot
9.3.1.	U.K. Predictive Maintenance Market 
9.3.2.	Germany Predictive Maintenance Market
9.3.3.	France Predictive Maintenance Market
9.3.4.	Spain Predictive Maintenance Market
9.3.5.	Italy Predictive Maintenance Market
9.3.6.	Rest of Europe Predictive Maintenance Market
9.4.	Asia-Pacific Predictive Maintenance Market Snapshot
9.4.1.	China Predictive Maintenance Market 
9.4.2.	India Predictive Maintenance Market 
9.4.3.	Japan Predictive Maintenance Market
9.4.4.	Australia Predictive Maintenance Market
9.4.5.	South Korea Predictive Maintenance Market
9.4.6.	Rest of Asia Pacific Predictive Maintenance Market
9.5.	Latin America Predictive Maintenance Market Snapshot
9.5.1.	Brazil Predictive Maintenance Market
9.5.2.	Mexico Predictive Maintenance Market
9.6.	Rest of The World Predictive Maintenance Market

Chapter 10.	Competitive Intelligence
10.1.	Top Market Strategies
10.2.	Company Profiles
10.2.1.	 IBM  Corporation 
10.2.1.1.	Key Information
10.2.1.2.	Overview
10.2.1.3.	Financial (Subject to Data Availability)
10.2.1.4.	Product Summary
10.2.1.5.	Recent Developments
10.2.2.	 Microsoft Corporation 
10.2.3.	SAP SE
10.2.4.	General Electric Company  
10.2.5.	Schneider Electric 
10.2.6.	Hitachi Ltd 
10.2.7.	 PTC Inc. 
10.2.8.	Software AG 
10.2.9.	SAS Institute 
10.2.10.	 Oracle Corporation  
Chapter 11.	Research Process
11.1.	Research Process
11.1.1.	Data Mining
11.1.2.	Analysis
11.1.3.	Market Estimation
11.1.4.	Validation
11.1.5.	Publishing
11.2.	Research Attributes
11.3.	Research Assumption

Global Predictive Maintenance Market is valued approximately USD 3.20 billion in 2019 and is anticipated to grow with a healthy growth rate of more than 25.20 % over the forecast period 2020-2027. Predictive maintenance is a technique that helps in determining and analyzing the condition of any equipment in order to efficiently estimate the timeframe for the performance of maintenance. The effective use of the approach helps in saving time as well as maintenance cost . Also, this approach focuses on determining and predicting equipment failure. Further, the predictive maintenance is gaining acceptance due to the number of benefits such as savings on expenses related to equipment parts, production time and other associated raw material and it also helps to minimizes several issues related with quality and reliability. The growth of the market is witnessed owing to the growing need to reduce maintenance cost and downtime and increasing use of emerging technologies to gain valuable insights. Also, to integrate predictive maintenance with IoT and machine learning, government is also taking various prompt actions which is expected to drive the growth of the market. As per the International Trade Administration, Industry 4.0 initiative is mainly adopted by Germany as its main objective is to add Internet of things (IOT) to automate the manufacturing and business process and ability of devices, sensors, machines and people to integrate and communicate with each other via Internet of things (IOT). Thus, rising adoption of Internet of things (IOT) will generate the demand for IOT integrated services and solutions. Further, Industry 4.0 initiative is mainly emphasizing on the use of automated machines and use of IOT to efficiently predict failures and autonomously trigger maintenance processes. Moreover, emphasize is also on self-organized logistics that have the ability to respond to unexpected changes such as mishandling of load etc. in production. This will create lucrative growth prospects for the market. However, lack of skilled workforce is hampering the growth of this market. Further, the key players are focusing on strategies such as product launch, innovation and merger & acquisition to sustain themselves amidst fierce competition. In June 2020, PTC enhanced ThingWorx Industrial IoT platform to accelerate industrial IoT deployment across the enterprise value chain. The platform would deliver new and expanded features to help industrial companies implement, create, customize and scale their solutions.

The regional analysis of global Predictive Maintenance market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region in terms of developing and adopting predictive maintenance. Also, the rising investments in emerging technologies such as AI, IoT, ML, growing government support for regulatory compliance, and the increasing presence of predictive maintenance vendors, is expected to create positive outlook for the growth of the region. Whereas Asia-Pacific is also anticipated to exhibit highest growth rate / CAGR over the forecast period 2020-2027.

Major market player included in this report are:
IBM Corporation
Microsoft Corporation
SAP SE
General Electric Company
Schneider Electric
Hitachi Ltd
PTC Inc.
Software AG
SAS Institute
Oracle Corporation

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Components:
Solutions
Services
By Deployment Mode:
Cloud
On-premises
By Organization size:
Large enterprises
Small and medium-sized enterprises
By Vertical:
Government and Defence
Manufacturing
Energy and Utilities
Transportation & Logistics
Healthcare and Life Sciences
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2017, 2018
Base year – 2019
Forecast period – 2020 to 2027

Target Audience of the Global Predictive Maintenance Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors


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