Predictive Maintenance Global Market Insights 2024: Trends and Innovations

"The Business Research Company recently released a comprehensive report on the Global Predictive Maintenance Market Size and Trends Analysis with Forecast 2024-2033. This latest market research report offers a wealth of valuable insights and data, including global market size, regional shares, and competitor market share. Additionally, it covers current trends, future opportunities, and essential data for success in the industry.

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According to The Business Research Company's, The predictive maintenance market size has grown exponentially in recent years. It will grow from $7.36 billion in 2023 to $9.49 billion in 2024 at a compound annual growth rate (CAGR) of 28.8%. The growth in the historic period can be attributed to equipment downtime reduction, cost savings, regulatory compliance and safety standards.

The predictive maintenance market size is expected to see exponential growth in the next few years. It will grow to $25.68 billion in 2028 at a compound annual growth rate (CAGR) of 28.3%. The growth in the forecast period can be attributed to integration with enterprise systems, predictive analytics for complex systems, focus on proactive maintenance strategies. Major trends in the forecast period include digital twin technology, cross-industry collaboration, advancements in sensor technologies, advanced analytics and machine learning, cloud-based solutions.

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Market Drivers and Trends:

The growing demand to reduce maintenance costs, equipment failure and downtime is significantly contributing to the growth of the predictive maintenance market. Equipment downtime refers to the duration in which particular equipment is not in operation due to unplanned equipment failure. Frequent equipment failure and unplanned downtime of large equipment are hampering the business operations due to a temporary halt of production activities, idle staff time, financial penalties, and others. For instance, according to the study published in Senseye Ltd., a UK-based provider of AI-driven predictive maintenance software, in June 2021, each production plant is losing $172 million per annum due to unplanned downtime. Thus, these manufacturing units are investing in advanced technologies to mitigate the probable unprecedented downtime of machinery in the plant. Therefore, growing demand to reduce maintenance costs, equipment failure, and downtime is expected to boost demand for predictive maintenance during the forecast period.

The adoption of advanced technology is a key trend gaining popularity in the predictive maintenance market. Major companies operating in the predictive maintenance market are focused on providing technologically advanced predictive maintenance solutions to meet the technical demands of end customers and strengthen their market position. These companies are implementing next-generation technologies into their services such as IoT, AI (artificial intelligence), ML (machine learning), thermography, cloud computing, and others to match the market demand for better maintenance. For instance, in December 2021, Avanseus, a Singapore-based predictive maintenance, and intelligent monitoring solutions company introduced an AI-based predictive maintenance solution across the operations of Bharti Airtel, an Indian premier communications company. The predictive maintenance solution uses machine learning algorithms and artificial intelligence (AI) to support the move towards zero-fault, zero-touch networks by proactively predicting and preventing incidents in the network.

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Major Key Players of the Market:

Google LLC, Microsoft Corporation, Hitachi Ltd., Amazon Web Services Inc., Siemens AG, General Electric Company, International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, Schneider Electric SE, OPEX Group Ltd., SAP SE, Hewlett Packard Enterprise Company, SAS Institute Inc., Splunk Inc., Larsen & Toubro Infotech Limited, PTC Inc., TIBCO Software Inc., Fluke Corporation, Software AG, Banner Engineering Corporation, Altair Engineering Inc., C3.ai Inc., Axiomtek Co Ltd., SparkCognition Inc., Uptake Technologies Inc., RapidMiner Inc., Dingo Inc., Factory Five Racing Inc., Senseye Ltd., Aspen Technology Inc., Dassault Systèmes SE, Rockwell Automation Inc., Honeywell International Inc.

Predictive Maintenance Market 2024 Key Insights:

• The predictive maintenance market size is expected to see exponential growth in the next few years. It will grow to $25.68 billion in 2028 at a compound annual growth rate (CAGR) of 28.3%.
• Rising Focus On Predictive Maintenance To Minimize Equipment Downtime And Cut Maintenance Costs
• Pioneering The Predictive Maintenance Landscape With Advanced Technologies
• North America was the largest region in the predictive maintenance market in 2023

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