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The ai in predictive maintenance market is forecasted to grow by USD 988.6 million during 2024-2029, accelerating at a CAGR of 17% during the forecast period. The report on the ai in predictive maintenance market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.Speak directly to the analyst to clarify any post sales queries you may have.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by launch of new solutions, increasing focus on sustainability, and rising demand from energy sector.
The ai in predictive maintenance market is segmented as below:
By End-user
- Manufacturing
- Energy and utilities
- Oil and gas
- Automotive
- Others
By Solution
- Integrated solutions
- Standalone solutions
By Geographical Landscape
- North America
- Europe
- APAC
- Middle East and Africa
- South America
The report on the ai in predictive maintenance market covers the following areas:
- AI In Predictive Maintenance Market sizing
- AI In Predictive Maintenance Market forecast
- AI In Predictive Maintenance Market industry analysis
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to an analysis of the key vendors.
The report presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
2 Market Analysis
3 Market Landscape
4 Market Sizing
5 Historic Market Size
6 Qualitative Analysis
7 Five Forces Analysis
8 Market Segmentation by End-user
9 Market Segmentation by Solution
10 Customer Landscape
11 Geographic Landscape
12 Drivers, Challenges, and Opportunity/Restraints
13 Competitive Landscape
14 Competitive Analysis
15 Appendix
List of Exhibits
Executive Summary
The following companies are recognized as the key players in the global ai in predictive maintenance market: ABB Ltd., C3.ai Inc., ClairViz Technology Systems Pvt. Ltd., DB E.C.O. Group, DINGO Software Pty. Ltd., ExactSpace, Faclon Labs Pvt. Ltd., GE Vernova Inc., Honeywell International Inc., International Business Machines Corp., KCF Technologies Inc., Machinestalk, PTC Inc., Radix U.S. LLC., SAP SE, Siemens AG, and Uptake Technologies Inc..Commenting on the report, an analyst from the research team said: "The latest trend gaining momentum in the market is innovations by vendors."
According to the report, one of the major drivers for this market is the launch of new solutions.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- ABB Ltd.
- C3.ai Inc.
- ClairViz Technology Systems Pvt. Ltd.
- DB E.C.O. Group
- DINGO Software Pty. Ltd.
- ExactSpace
- Faclon Labs Pvt. Ltd.
- GE Vernova Inc.
- Honeywell International Inc.
- International Business Machines Corp.
- KCF Technologies Inc.
- Machinestalk
- PTC Inc.
- Radix U.S. LLC.
- SAP SE
- Siemens AG
- Uptake Technologies Inc.
