Predictive Maintenance Solution Market

Predictive maintenance is maintenance that directly monitors the condition and performance of equipment during normal operation to reduce the likelihood of failures. It attempts to keep costs low by reducing the frequency of maintenance tasks, reducing unplanned breakdowns and eliminating unnecessary preventive maintenance.

Predictive maintenance solution enables manufacturers to closely monitor machines with sensors and actuators embedded in the equipment. Using streaming analytics to continuously analyse sensor data and combine it with historical intelligence, this predictive maintenance solution is able to more accurately predict equipment failures and dispatch maintenance services only when they are needed. And some solution also take automated intelligent action to dispatch a part or schedule a technician, monitoring machine performance and field service technicians? task lists in real time for more dynamic scheduling. The result is lower technician costs, improved service levels and greater machine uptime?all contributing to improved profitability and product quality.

Predictive Maintenance Solution Market contains market size and forecasts of Predictive Maintenance Solution in Global, including the following market information:

Global Predictive Maintenance Solution Market Revenue, 2017-2022, 2023-2028, ($ millions)

Global top five companies in 2021 (%)

The global Predictive Maintenance Solution market was valued at 5265.4 million in 2021 and is projected to reach US$ 20960 million by 2028, at a CAGR of 21.8% during the forecast period.

The U.S. Market is Estimated at $ Million in 2021, While China is Forecast to Reach $ Million by 2028.

Cloud Based Segment to Reach $ Million by 2028, with a % CAGR in next six years.

The global key manufacturers of Predictive Maintenance Solution include IBM, Microsoft, SAP, GE Digital, Schneider, Hitachi, Siemens, Intel and RapidMiner, etc. In 2021, the global top five players have a share approximately % in terms of revenue.

We surveyed the Predictive Maintenance Solution companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.

Total Market by Segment:

Global Predictive Maintenance Solution Market, by Type, 2017-2022, 2023-2028 ($ millions)

Global Predictive Maintenance Solution Market Segment Percentages, by Type, 2021 (%)

Cloud Based

On-premises

Global Predictive Maintenance Solution Market, by Application, 2017-2022, 2023-2028 ($ millions)

Global Predictive Maintenance Solution Market Segment Percentages, by Application, 2021 (%)

Industrial and Manufacturing

Transportation and Logistics

Energy and Utilities

Healthcare and Life Sciences

Education and Government

Others

Global Predictive Maintenance Solution Market, By Region and Country, 2017-2022, 2023-2028 ($ Millions)

Global Predictive Maintenance Solution Market Segment Percentages, By Region and Country, 2021 (%)

North America

US

Canada

Mexico

Europe

Germany

France

U.K.

Italy

Russia

Nordic Countries

Benelux

Rest of Europe

Asia

China

Japan

South Korea

Southeast Asia

India

Rest of Asia

South America

Brazil

Argentina

Rest of South America

Middle East & Africa

Turkey

Israel

Saudi Arabia

UAE

Rest of Middle East & Africa

Competitor Analysis

The report also provides analysis of leading market participants including:

Key companies Predictive Maintenance Solution revenues in global market, 2017-2022 (estimated), ($ millions)

Key companies Predictive Maintenance Solution revenues share in global market, 2021 (%)

Further, the report presents profiles of competitors in the market, key players include:

IBM

Microsoft

SAP

GE Digital

Schneider

Hitachi

Siemens

Intel

RapidMiner

Rockwell Automation

Software AG

Cisco

Bosch.IO

C3.ai

Dell

Augury Systems

Senseye

T-Systems International

TIBCO Software

Fiix

Uptake

Sigma Industrial Precision

Dingo

Huawei

ABB

AVEVA

SAS