Global Industrial Predictive Maintenance(PdM) Market Growth (Status and Outlook) 2024-2030

Global Industrial Predictive Maintenance(PdM) Market Growth (Status and Outlook) 2024-2030

Predictive maintenance is the application and realization of artificial intelligence in the industrial field

The global Industrial Predictive Maintenance(PdM) market size is projected to grow from US$ 4519.5 million in 2023 to US$ 29290 million in 2030; it is expected to grow at a CAGR of 30.6% from 2024 to 2030.

LPI (LP Information)' newest research report, the “Industrial Predictive Maintenance(PdM) Industry Forecast” looks at past sales and reviews total world Industrial Predictive Maintenance(PdM) sales in 2023, providing a comprehensive analysis by region and market sector of projected Industrial Predictive Maintenance(PdM) sales for 2024 through 2030. With Industrial Predictive Maintenance(PdM) sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Industrial Predictive Maintenance(PdM) industry.

This Insight Report provides a comprehensive analysis of the global Industrial Predictive Maintenance(PdM) 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 Industrial Predictive Maintenance(PdM) portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Industrial Predictive Maintenance(PdM) market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Industrial Predictive Maintenance(PdM) 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 Industrial Predictive Maintenance(PdM).

United States market for Industrial Predictive Maintenance(PdM) is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

China market for Industrial Predictive Maintenance(PdM) is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

Europe market for Industrial Predictive Maintenance(PdM) is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

Global key Industrial Predictive Maintenance(PdM) players cover Augury Inc., Avnet Inc., C3.ai Inc., Dell Technologies Inc. and Deutsche Telekom AG, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2023.

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

Segmentation by type
Solutions
Service

Segmentation by application
Manufacturing
Energy and Utilities
Government and Defense
Medical
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.
Augury Inc.
Avnet Inc.
C3.ai Inc.
Dell Technologies Inc.
Deutsche Telekom AG
Fortive Corp.
General Electric Co.
Hitachi Ltd.
Honeywell International Inc.
International Business Machines Corp.
PTC Inc.
RapidMiner Inc.
Reliability Solutions sp. z o.o.
Robert Bosch GmbH
Rockwell Automation Inc.
SAP SE
SAS Institute Inc.
Schneider Electric SE
Siemens AG
Warwick Analytics Services Ltd.

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