Global Predictive Maintenance Market is Expected to Grow at 39.9% in the Forecast Period of 2020 to 2027

Global Predictive Maintenance Market is forecast to grow at 39.9% with factors such increasing concern towards improvement of uptime of equipment and maintenance cost reduction and Rising demand of predictive maintenance in various verticals.

Predictive maintenance market has shown an exceptional penetration in countries such as U.S. China and Germany due to increasing use of emerging technologies to gain valuable insights and rising demand of predictive maintenance among industries is creating opportunity for the global predictive maintenance market.

Predictive Maintenance Market Scenario

According to Data Bridge Market Research, the market for predictive maintenance in North America region has the highest market share followed by Europe and Asia-Pacific. Market leader is IBM Corporation which accounts an estimated market share of approximately 20.8% in the global predictive maintenance market. The company has gained outstanding sale through their predictive maintenance products.

For instance,

  • In February 2019, IBM Corporation announced to launch a new portfolio of Internet of Things (IoT) solutions with AI and Advanced Analytics named as Metropolitan Atlanta Rapid Transit Authority (MARTA) to improve maintenance strategies. This product is designed to help organizations to lower costs and reduce the risk of failures of vehicles, manufacturing robots, turbines, mining equipment, elevators, and electrical transformers. This has helped the company to enhance their product portfolio.        

Predictive Maintenance MarketTrends Impacting the Market

Now the question is which other regions IBM Corporation, SAP SE and Microsoft? Data Bridge Market Research has forecast a large growth in North America predictive maintenance market and the market leaders are targeting U.S, Canada and Mexico to be their next revenue pockets for 2020.

The predictive maintenance market is becoming more competitive every year with companies such IBM Corporation, SAP SE and Microsoft they are the market leaders for predictive maintenance market. Data Bridge Market Research new reports highlight the major growth factors and opportunities in the predictive maintenance market.

For more analysis on the predictive maintenance market request for a briefing with our analysts https://www.databridgemarketresearch.com/speak-to-analyst/?dbmr=global-predictive-maintenance-market

Predictive Maintenance Market Development

  • In July 2020, Microsoft launched Azure Time Series Insights Gen2 which is a fully managed IoT analytics platform that helps customers to conduct root-cause analysis in large volumes of industrial data. Azure Time Series Insights Gen2 provides a scalable, pay-as-you-go pricing model that enables customers to tune to business demand and offers multi-layered storage. This has helped the company to enhance its product offerings and grow in the market.

 Scope of the Predictive Maintenance Market

Global predictive maintenance market is segmented on the basis of countries into U.S., Canada and Mexico, Germany, France, U.K.., Italy, Spain, Russia, Turkey, Netherlands, Belgium, Switzerland and Rest of Europe, Japan, China, India, South Korea, Australia, Thailand, Malaysia, Singapore, Philippines, Indonesia and Rest of Asia-Pacific Brazil, Argentina and Rest of South America, U.A.E, Saudi Arabia, Israel, Egypt, South Africa and Rest of Middle East and Africa.

  • All country based analysis of predictive maintenance market is further analyzed based on further segmentation. On the basis of components, the predictive maintenance market is segmented into solution and services. On the basis of deployment mode, the predictive maintenance market is segmented into cloud and on-premise. On the basis of organization size, the predictive maintenance market is segmented into large enterprises and small and medium-sized enterprises. On the basis of vertical, the predictive maintenance market is segmented into manufacturing, energy and utilities, transportation, government, healthcare, aerospace & defense and others.

To know more about the study https://www.databridgemarketresearch.com/reports/global-predictive-maintenance-market

Key Pointers Covered in Predictive Maintenance Market Industry Trends and Forecast to 2027

  • Market Size
  • Market Standards and Changes
  • Market Trials in Different Regions
  • Market Requirements in Different Regions
  • Market Shares in Different Regions
  • Recent Developments for Market Competitors
  • Recent Market Value for Different Regions
  • Sales Data for Market Competitors
  • Key Vendors and Disruptors Study

Key Market Competitors Covered in the Report

Some of the major players operating in the global predictive maintenance market are:

  • IBM Corporation
  • SAP SE
  • Microsoft
  • PTC
  • Siemens
  • GENERAL ELECTRIC
  • Schneider Electric
  • Software AG
  • C3.ai, Inc.
  • DINGO Software Pty. Ltd.
  • Splunk Inc.
  • Uptake Technologies Inc.
  • Oracle
  • Amazon Web Services, Inc. (a subsidiary of Amazon)
  • Softweb Solutions Inc. (An Avnet Company)
  • ABB
  • Huawei Technologies Co., Ltd
  • Intel Corporation
  • SKF
  • Hitachi, Ltd.

Above are the key players covered in the report, to know about more and exhaustive list of predictive maintenance companies, contact us https://www.databridgemarketresearch.com/toc/?dbmr=global-predictive-maintenance-market

Research Methodology: Global Predictive Maintenance Market

Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analysed and forecasted 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 can drop down your enquiry.

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. Apart from this, data models include vendor positioning grid, market time line analysis, market overview and guide, company positioning grid, company market share analysis, standards of measurement, top to bottom analysis and vendor share analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

Primary Respondents

  • Demand Side: Predictive Maintenance Solution Provider, Predictive Maintenance Engineer, and Predictive Maintenance Trainee
  • Supply Side: Service Providers, Product Managers, Marketing Managers, C-Level Executives, Distributors, Market Intelligence, and Regulatory Affairs Managers among others.

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