(EMAILWIRE.COM, January 14, 2019 ) The predictive maintenance market for manufacturing industry has witnessed an upsurge in the past four years with the introduction of advanced technologies such as Big Data & analytics, machine learning, deep learning, and artificial intelligence. As a result of the increasing adoption of these advanced technologies, a transition from on-premise deployment models to cloud is witnessed in the global predictive maintenance market for manufacturing industry.

Based on the deployment model, the predictive maintenance market for manufacturing industry is sub segmented into on-premise and cloud. In 2017, on-premise segment is expected to dominate the predictive maintenance market for manufacturing industry. However, the cloud segment is expected to exhibit a higher double-digit growth rate during the forecast period in the global predictive maintenance market for manufacturing industry owing to the increasing demand for adopting cloud technology across all the regions.

Over the next five years, LPI(LP Information) projects that Predictive Maintenance for Manufacturing will register a xx% CAGR in terms of revenue, reach US$ xx million by 2023, from US$ xx million in 2017.

In this report, LP Information studies the present scenario (with the base year being 2017) and the growth prospects of global Predictive Maintenance for Manufacturing market for 2018-2023.

This report presents a comprehensive overview, market shares and growth opportunities of Predictive Maintenance for Manufacturing market by product type, application, key companies and key regions.

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This study considers the Predictive Maintenance for Manufacturing value generated from the sales of the following segments:

Predictive Maintenance for Manufacturing Breakdown Data by Type
On-Premise
Cloud-Based

Predictive Maintenance for Manufacturing Breakdown Data by Application
Automotive
Aerospace & Defense
Machinery & Equipment
Power Industry
Others

This report also splits the market by Region:
Asia-Pacific
North America
Europe
South America
Middle East & Africa

Companies Profile: The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The Top Key Manufacturers covered in this report:
IBM
Software AG
SAS Institute
PTC, Inc
SAP SE
General Electric
Robert Bosch GmbH
Rockwell Automation
Schneider Electric
eMaint Enterprises

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In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

RESEARCH OBJECTIVES
• To study and analyze the global Predictive Maintenance for Manufacturing market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2023.
• To understand the structure of Predictive Maintenance for Manufacturing market by identifying its various sub segments.
• Focuses on the key global Predictive Maintenance for Manufacturing players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
• To analyze the Predictive Maintenance for Manufacturing with respect to individual growth trends, future prospects, and their contribution to the total market.
• To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
• To project the size of Predictive Maintenance for Manufacturing submarkets, with respect to key regions (along with their respective key countries).
• To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
• To strategically profile the key players and comprehensively analyze their growth strategies.

In this study, the years considered to estimate the market size of Predictive Maintenance for Manufacturing:
History Year: 2014 - 2018
Base Year: 2018
Estimated Year: 2019
Forecast Year: 2019 - 2025

This report includes the estimation of market size for value (million USD) and volume (K Units). Both top-down and bottom-up approaches have been used to estimate and validate the market size of Predictive Maintenance for Manufacturing market, to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified primary sources.

For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

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