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Global AI-driven Predictive Maintenance Platform Market Growth (Status and Outlook) 2025-2031

Publisher LP Information, Inc.
Published Aug 14, 2025
Length 108 Pages
SKU # LPI20312498

Description

According to this study, the global AI-driven Predictive Maintenance Platform market size will reach US$ 1717 million by 2031.

An AI-driven predictive maintenance (PdM) platform is a software solution that leverages artificial intelligence (AI), machine learning (ML), and IoT (Internet of Things) sensor data to predict equipment failures before they occur. By analyzing historical and real-time operational data, the platform identifies patterns, detects anomalies, and forecasts potential breakdowns, enabling proactive maintenance and minimizing unplanned downtime.

United States market for AI-driven Predictive Maintenance Platform is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for AI-driven Predictive Maintenance Platform is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for AI-driven Predictive Maintenance Platform is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key AI-driven Predictive Maintenance Platform players cover SAP, Siemens, IBM, MaintWiz, C3.ai, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LPI (LP Information)' newest research report, the “AI-driven Predictive Maintenance Platform Industry Forecast” looks at past sales and reviews total world AI-driven Predictive Maintenance Platform sales in 2024, providing a comprehensive analysis by region and market sector of projected AI-driven Predictive Maintenance Platform sales for 2025 through 2031. With AI-driven Predictive Maintenance Platform sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-driven Predictive Maintenance Platform industry.

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

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-driven Predictive Maintenance Platform 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 AI-driven Predictive Maintenance Platform.

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

Segmentation by Type:
Cloud
On-premise

Segmentation by Application:
Government
Aerospace and Defense
Automotive
Machinery and Manufacturing
Healthcare
Logistics and Transportation
Electronics and Semiconductors
Energy and Utilities
Other

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.
SAP
Siemens
IBM
MaintWiz
C3.ai
Dingo
ABB
Honeywell
PTC
Uptake
GE

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

Table of Contents

108 Pages
*This is a tentative TOC and the final deliverable is subject to change.*
1 Scope of the Report
2 Executive Summary
3 AI-driven Predictive Maintenance Platform Market Size by Player
4 AI-driven Predictive Maintenance Platform by Region
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global AI-driven Predictive Maintenance Platform Market Forecast
11 Key Players Analysis
12 Research Findings and Conclusion

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