Global Predictive Maintenance In Manufacturing Market Growth (Status and Outlook) 2023-2029

Global Predictive Maintenance In Manufacturing Market Growth (Status and Outlook) 2023-2029

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.

LPI (LP Information)' newest research report, the “Predictive Maintenance In Manufacturing Industry Forecast” looks at past sales and reviews total world Predictive Maintenance In Manufacturing sales in 2022, providing a comprehensive analysis by region and market sector of projected Predictive Maintenance In Manufacturing sales for 2023 through 2029. With Predictive Maintenance In Manufacturing sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Predictive Maintenance In Manufacturing industry.

This Insight Report provides a comprehensive analysis of the global Predictive Maintenance In Manufacturing landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Predictive Maintenance In Manufacturing portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Predictive Maintenance In Manufacturing market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Predictive Maintenance In Manufacturing and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Predictive Maintenance In Manufacturing.

The global Predictive Maintenance In Manufacturing market size is projected to grow from US$ 5104.5 million in 2022 to US$ 22510 million in 2029; it is expected to grow at a CAGR of 23.6% from 2023 to 2029.

Global key predictive maintenance in manufacturing players include SAP, Schneider and Siemens etc. The top 3 companies hold a share about 19%. North America is the largest market with a share about 35%, followed by Europe and Asia-Pacific.

In terms of product, cloud based product is the largest segment with a share about 77%. And in terms of applications, the largest application is industrial and manufacturing with a share about 47%.

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

Market Segmentation:

Segmentation by type
Cloud Based
On-premises

Segmentation by application
Industrial and Manufacturing
Transportation and Logistics
Energy and Utilities
Healthcare and Life Sciences
Education and Government
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
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

Please note: The report will take approximately 2 business days to prepare and deliver.