Global Predictive Maintenance Market To Record Protruding Growth With US$ 16,704.1 Million By 2028

July 2022 | Report Format: Electronic (PDF)

The industry's expansion has been aided by the rising usage of innovative and developing technology to get useful information into decision-making. The industry is growing because numerous sectoral end-users are continuously in demand of cost savings and maintenance. Machine-to-machine (M2M) connectivity and internet technologies are increasingly being used to study knowledge collected from business assets throughout the world. Some of the primary reasons driving the industry are the rising use of machine intelligence innovation to translate a huge quantity of data created by numerous elements of the internet of things (IoT) environment into valuable discoveries.

The predictive maintenance industry is growing as people become more concerned about improving machine performance and lowering maintenance costs. The predictive maintenance business will face significant headwinds due to a scarcity of experienced workers. The predictive maintenance sector will have plenty of potential thanks to the real-time tracking of conditions to aid in a fast response. Information safety and security concerns are a big barrier throughout the predictive maintenance sector.

In the predictive maintenance industry, North America held the greatest share. Improvements in innovation across sectors, the rise of IoT connection, and the increasing acceptance of new solutions, notably machine learning, are all driving the predictive maintenance industry in the area. In 2018, Europe accounted for the second-largest proportion of the preventive maintenance industry. The United Kingdom, Italy, Spain, France, Germany, and the remainder of Europe have been divided. Germany will likely obtain the most industry position, trailed by the United Kingdom, France, as well as Italy.

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Predictive Maintenance Market Report Highlights

• Oracle confirmed the introduction of Oracle IoT Asset Management Cloud Service Release 19.1.5 in March 2019. This version includes a virtual twin simulator that may be used to develop asset sensor simulators. The simulator may be employed to build and mimic data patterns for assets that have sensors.
• In March 2019, IBM unveiled a new suite of IIOT (industrial internet - of - things) predictive maintenance services that use sophisticated analytics as well as artificial intelligence.

• In 2020, Cyient became a Microsoft Azure Internet of Things (loT) certified partner, guaranteeing that clients may quickly acquire loT solutions using hardware and software which has already been pre-tested as well as proven to operate with Microsoft Azure loT applications.

PREDICTIVE MAINTENANCE MARKET SEGMENTATION

The research report published by Market Research Strategy contains industry segments, as below-

Predictive Maintenance Component Outlook (Revenue, USD Million, 2017 - 2028)

• Solution
• Service

Predictive Maintenance Deployment Outlook (Revenue, USD Million, 2017 - 2028)

• On-premise
• Cloud

Predictive Maintenance Enterprise Size Outlook (Revenue, USD Million, 2017 - 2028)

• SMEs
• Large Enterprise

Predictive Maintenance End-User Outlook (Revenue, USD Million, 2017 - 2028)

• Government and Defence
• Transportation and Logistics
• Manufacturing
• Energy and Utilities
• Healthcare and Life Sciences

Predictive Maintenance Regional Outlook (Revenue, USD Million, 2017 - 2028)

• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • Germany
  • U.K.
  • France
  • Italy
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
• Central & South America
  • Brazil
  • Argentina
• Middle East & Africa
  • Saudi Arabia
  • South Africa

List of Key Players- Predictive Maintenance Market

• Asystom GmbH
• C3.Ai, Inc.
• Engineering Consultants Group, Inc.
• Expert Microsystems, Inc.
• Fiix Inc.
• General Electric
• Hitachi, Ltd.
• International Business Machines Corporation
• Microsoft Corporation
• Microsoft Corporation
• Operational Excellence (Opex) Group Ltd
• Ptc Inc.
• Reliability Solutions Sp. Z O.O
• Sap
• Sas Institute Inc.
• Schneider Electric Se
• Sigma Industrial Precision
• Software Ag
• Sparkcognition
• Tibco Software Inc
• Uptake Technologies Inc

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