Market revenue in 2023 | USD 427.8 million |
Market revenue in 2030 | USD 3,398.5 million |
Growth rate | 34.5% (CAGR from 2023 to 2030) |
Largest segment | Solution |
Fastest growing segment | Services |
Historical data | 2018 - 2022 |
Base year | 2023 |
Forecast period | 2024 - 2030 |
Quantitative units | Revenue in USD million |
Market segmentation | Solution, Services |
Key market players worldwide | Accenture PLC Class A, Cisco Systems Inc, GE Aerospace, Honeywell International Inc, Hitachi Ltd, International Business Machines Corp, Microsoft Corp, PTC, Robert Bosch Engineering & Business Solutions, Rockwell Automation Inc, SAP SE ADR, SAS AB, Schneider Electric SE, Siemens Healthineers AG ADR, Siemens AG, Software AG Registered Shares |
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The databook is designed to serve as a comprehensive guide to navigating this sector. The databook focuses on market statistics denoted in the form of revenue and y-o-y growth and CAGR across the globe and regions. A detailed competitive and opportunity analyses related to predictive maintenance market will help companies and investors design strategic landscapes.
Solution was the largest segment with a revenue share of 84.03% in 2023. Horizon Databook has segmented the India predictive maintenance market based on solution, services covering the revenue growth of each sub-segment from 2018 to 2030.
The Indian predictive maintenance market is expected to witness significant growth over the forecast period. The popularity of predictive maintenance solutions among several industries is increasing owing to their ability to reduce downtime, optimize maintenance schedules, and increase asset lifespan. Furthermore, Artificial intelligence (AI), Machine Learning (ML), the Internet of Things (IoT).
Cloud computing, and big data are among the advanced industry 4.0 technologies that have altered enterprises' equipment maintenance and product line management approaches. Moreover, IoT sensors collect massive amounts of data and convert it into relevant insights.
With this, companies can eliminate the guesswork that characterizes scheduled maintenance by leveraging insights based on real-time measurements. This collected data is then processed and evaluated using AI algorithms to find abnormalities, establish patterns, estimate future maintenance needs, and recommend the best course of action.
Horizon Databook provides a detailed overview of country-level data and insights on the India predictive maintenance market , including forecasts for subscribers. This country databook contains high-level insights into India predictive maintenance market from 2018 to 2030, including revenue numbers, major trends, and company profiles.
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