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Predictive Maintenance (PDM) Market to grow by USD 33.76 Billion from 2024-2028, driven by AI and cloud adoption in SMEs – Technavio

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NEW YORK, Nov. 27, 2024 /PRNewswire/ — Report with the AI impact on market trends – The global predictive maintenance (PDM) market  size is estimated to grow by USD 33.76 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of  39%  during the forecast period. Increased adoption of advanced analytics by SMES owing to rise in cloud computing is driving market growth, with a trend towards proliferation of advanced technologies, AI, and IoT. However, lack of expertise and technical knowledge  poses a challenge.Key market players include 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, and Warwick Analytics Services Ltd..

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Forecast period

2024-2028

Base Year

2023

Historic Data

2017 – 2021

Segment Covered

Component (Solutions and Service), Deployment (On-premises and Cloud), and Geography (North America, Europe, APAC, South America, and Middle East and Africa)

Region Covered

North America, Europe, APAC, South America, and Middle East and Africa

Key companies profiled

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, and Warwick Analytics Services Ltd.

Key Market Trends Fueling Growth

Predictive Maintenance (PDM) is a cutting-edge business trend revolutionizing equipment maintenance. It uses condition-based strategies to predict and prevent equipment failure, moving beyond time- and reactive-based methods. PDM leverages various technologies like electromagnetic radio fields, NFC chips, and sensor devices to gather real-time data. Devices such as vibration meters and acoustic analysis tools help identify potential issues. Machine learning algorithms analyze sensor data to predict faults, enabling action before human error or pocket dials cause problems. NFC technology facilitates transactions for maintenance work, while smart posters and maintenance software like CMMS, FTMaintenance, and mobile CMMS features streamline work orders and communication between maintenance staff, machine operators, and technicians. Predictive maintenance saves costs by minimizing downtime and extending asset life. It’s being adopted in diverse industries, from coal preparation plants to fleet maintenance and building management. Predictive maintenance is the future, combining advanced technologies like machine learning, computer-based modeling, and analytics tools with wireless internet connections to provide actionable insights. Meteorologists and Doppler radars, even satellites, contribute to predictive maintenance by providing weather data and environmental conditions. Predictive maintenance is transforming maintenance work, making it more efficient, effective, and proactive. 

Predictive maintenance (PdM) is a proactive approach to equipment maintenance that uses data analysis and machine learning algorithms to predict potential failures before they occur. By analyzing historical data and current performance indicators, PdM solutions can identify patterns and trends that may indicate an impending issue. The acceptance of advanced technologies like AI, machine learning, blockchain, cloud computing, and big data is driving the adoption of PdM in various industries. These technologies enable real-time monitoring, predictive analytics, and automated maintenance, leading to increased efficiency, cost savings, and improved asset performance. Billions of dollars are being invested in research and development to further enhance the capabilities of these technologies, making PdM an essential component of modern maintenance strategies. 

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Market Challenges

Predictive Maintenance (PDM) is a cutting-edge technology that uses machine learning and sensor data to predict equipment failures before they occur. However, implementing PDM comes with challenges. Electromagnetic radio fields from sensors can interfere with NFC chips in devices, leading to transaction errors. Human error, such as pocket dialing maintenance work orders, can also cause delays. Distance and battery life are concerns for wireless sensor devices. PDM relies on condition-based maintenance using sensor devices and real-time data. Time-based maintenance and reactive maintenance are outdated methods. Maintenance software like CMMS, FTMaintenance, and mobile CMMS features play a crucial role in managing work orders and dispatching maintenance staff. Vibration analysis, acoustic analysis, and infrared analysis are common condition-monitoring techniques. Baselines and work orders help maintenance technicians identify potential issues. Machine operators should be trained to use condition-monitoring devices like vibration meters. Predictive algorithms use data from sensors, computer-based modeling, and analytics tools to predict faults. Predictive maintenance is essential for fleet maintenance and building maintenance. Doppler radars, satellites, and meteorologists provide additional data for predictive maintenance in extreme environments. Challenges include ensuring accurate sensor data and a reliable wireless internet connection. Maintenance staff should be trained to use predictive maintenance software and understand the importance of preventive maintenance. Collaboration between maintenance technicians, machine operators, and data analysts is crucial for successful implementation of predictive maintenance.Predictive maintenance (PdM) is a crucial business strategy that helps enterprises prevent equipment failure through corrective or scheduled maintenance. However, the implementation of PdM comes with challenges. The lack of skilled labor and specialized knowledge in condition monitoring and predictive analytics is a significant hurdle. This complex process requires extensive domain expertise for micro-segmentation deployment. As historical data grows and PdM use cases expand, the complexity of the models increases, leading to management overhead and inefficiencies. To overcome these challenges, extensive training and specialized resources are necessary for successful PdM adoption.

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Segment Overview 

This predictive maintenance (pdm) market report extensively covers market segmentation by

Component 1.1 Solutions1.2 ServiceDeployment 2.1 On-premises2.2 CloudGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 Solutions-  Predictive maintenance (PdM) solutions are integrated with new or existing machinery infrastructure to monitor machine health and identify early signs of deterioration. This integration ensures a good return on investment (ROI) and helps organizations meet sustainability goals by enabling remote machine monitoring worldwide. By keeping assets in optimal working condition and available at all times, PdM solutions increase asset life expectancy and reduce high maintenance costs. The energy and utilities, manufacturing, healthcare, aerospace and defense, and automotive sectors are among those driving the growth of the global PdM market due to their increasing adoption of PdM solutions. These industries use sensors and equipment to generate data for analysis, which is then transferred to the cloud for analysis and monitoring via gateways. The cloud provides computing, data storage, and analytics reporting, while management software serves as an interface for users to handle equipment conditions from anywhere. The use of PdM solutions is expected to increase significantly, leading to market growth during the forecast period. These solutions help improve product quality and process efficiency by analyzing data generated from equipment and sensors. Gateways serve as data transporters and translators, while cloud services offer shared software resources for computing, data storage, and analytics reporting. Management software acts as an interface for users to monitor equipment conditions in real-time.

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Research Analysis

Predictive maintenance (PDM) is a proactive approach to equipment maintenance using real-time data analysis and various sensor devices. Electromagnetic radio fields and NFC chips are among the technologies utilized in PDM. NFC transactions enable data exchange between devices, providing distance information for condition-based maintenance. Human error can be minimized through smart posters and NFC technology, triggering action when maintenance is required. PDM employs NFC technology to monitor assets, collecting data for analysis in real-time. This information helps identify potential equipment failure before it occurs, moving away from time-based and reactive maintenance. Maintenance software, such as CMMS, uses baselines and work orders to manage maintenance tasks, with machine operators and maintenance staff receiving notifications for necessary actions. Vibration analysis, acoustic analysis, and infrared analysis are common methods used in PDM. A centrifugal pump motor in a coal preparation plant, for instance, can be monitored using a vibration meter to detect anomalies and prevent costly downtime. By leveraging these advanced technologies and techniques, predictive maintenance significantly improves equipment reliability and reduces maintenance costs.

Market Research Overview

Predictive Maintenance (PDM) is a cutting-edge technology that utilizes various sensors, condition-monitoring devices, and advanced analytics tools to predict equipment failures before they occur. This proactive approach to maintenance reduces downtime, lowers maintenance costs, and increases asset productivity. Electromagnetic radio fields, NFC chips, and sensor devices collect real-time data on machine performance, temperature, vibration, and other key indicators. Machine learning algorithms analyze this data to identify patterns and anomalies, predicting potential failures and suggesting preventive actions. NFC technology enables wireless transactions for maintenance work orders, while machine operators and maintenance staff receive notifications for required actions. Distance learning and smart posters provide training and instructions for maintenance technicians. Predictive maintenance applications range from centrifugal pump motors in coal preparation plants to fleet maintenance and building systems. Vibration analysis, acoustic analysis, infrared analysis, and computer-based modeling are essential tools for predictive maintenance. Predictive algorithms, wireless internet connection, and CMMS software facilitate efficient and effective maintenance work. Meteorologists, Doppler radars, and satellites provide external data for predicting weather-related maintenance needs.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

ComponentSolutionsServiceDeploymentOn-premisesCloudGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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Best AI Productivity Tools for Creators (2026): CapCut Recognized for Faster Video and Image Workflows by Software Experts

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NEW YORK, July 19, 2026 /PRNewswire/ — Artificial intelligence continues to reshape how digital content is produced, with creators relying on AI tools like CapCut to handle editing, asset generation, and repetitive production tasks that once required several separate applications. As these tools mature, software reviews are placing more weight on workflow efficiency alongside creative output.

Best AI Productivity Tools for Creators

Seedance 2.0 – an AI video generation model that creates videos from text prompts and image inputsPhoto to 3D – an AI tool that transforms 2D photos into images with realistic three-dimensional depth and effects

The use of AI has expanded across independent creators, marketing teams, educators, and small businesses producing content for websites, social media, online stores, and digital campaigns. Rather than using AI for a single task, many creative professionals now incorporate it throughout the production process, from generating concepts and visuals to refining finished content. This has encouraged software reviewers to test how well platforms support complete creative workflows instead of evaluating individual features in isolation.

Software Experts has included CapCut among its 2026 selections for AI productivity tools for creators, citing the platform’s collection of AI-powered features that support faster video and image production. The review examined how integrated AI tools can simplify common creative tasks across video editing, image generation, music creation, and visual enhancement.

What Is Driving Interest in AI Productivity Tools?

Content creators are producing more material than ever across short-form video platforms, social media, online stores, blogs, newsletters, and marketing campaigns. A single project may require multiple image formats, several video versions, captions, background edits, and audio, all within a short production window.

Many creators also repurpose one piece of content into several formats. A long-form video may be edited into short clips for social platforms, paired with custom graphics, accompanied by AI-generated music, and published alongside promotional images. Completing these tasks manually often requires switching between multiple editing applications.

This has encouraged software developers to introduce AI features that reduce manual editing while keeping creators in control of the finished product. Instead of switching between several applications, many creators now prefer platforms that support multiple stages of production within the same workspace.

How Does CapCut Support Video and Image Workflows?

CapCut offers AI tools that assist throughout the creative process, from generating visual assets to preparing finished content for publishing.

Among the tools included are:

Seedance 2.0 for generating AI videos from text promptsGPT Image 2 for creating images from written descriptionsSeedream for AI-generated artwork and creative visualsSeedmusic for producing original music from text promptsAI Image Extender for expanding images while preserving visual consistencyPhoto to 3D for adding depth effects to imagesAI Background Removal for separating subjects from image backgrounds with minimal editing

Together, these features support projects ranging from social media posts and marketing materials to promotional videos, educational content, presentations, and visual concepts, allowing creators to complete more production tasks within a single platform.

Why Are Integrated AI Platforms Receiving More Coverage?

Earlier AI tools often specialized in a single task, such as image generation or video editing. Newer platforms are bringing these functions together to let creators complete more of their work without transferring files between multiple services.

This type of workflow can shorten production time while helping maintain visual consistency across different content formats. It can also reduce the amount of time spent exporting files, reformatting assets, or rebuilding projects in separate applications.

As a result, software evaluations are increasingly examining how efficiently creators can complete everyday production work. Instead of concentrating solely on the number of AI features available, reviewers are also looking at how those tools function together during real-world creative projects.

What Did Software Experts Evaluate?

The review looked at AI tools that support practical creative work across multiple production stages rather than concentrating on a single feature.

Areas included in the evaluation included:

AI-assisted video generationText-to-image creationAI-generated musicBackground removalImage expansionThree-dimensional visual effectsEditing tools that support faster creative workflows

The review also examined how these features work together during typical content production rather than evaluating each tool separately. This reflects the way many creators now build content using interconnected AI tools instead of isolated editing software.

What Does This Mean for Creators?

Creative software continues to incorporate AI across more stages of content production, giving creators additional ways to streamline editing while maintaining creative control. As publishing schedules become more demanding, workflow efficiency has entered software evaluations alongside editing quality and creative flexibility.

Software Experts’ 2026 review places CapCut among AI productivity tools supporting faster video and image workflows through its collection of AI-powered creative features. As AI continues to influence digital content production, reviews are placing emphasis on how effectively platforms help creators complete everyday projects from concept through final publication.

To read the full review, please visit the Software experts website.

About CapCut

CapCut is an AI-powered photo and video editing platform designed to make high-quality video creation accessible across devices. The platform supports creators, businesses, and everyday users with tools for video editing, AI video generation, captions, templates, audio, and visual editing. CapCut is available across mobile, web, desktop, and iPad experiences, helping users create, edit, and prepare video content for social media, marketing, education, and personal projects.

About Software Experts: Software Experts delivers in-depth news on the digital tools shaping today’s consumer experience. As an affiliate, Software Experts may earn commissions from sales generated using links provided.

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SOURCE SoftwareExperts.org

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Penetron Strengthens Global Research Collaboration at ICSHM 2026

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PHILADELPHIA, July 19, 2026 /PRNewswire/ — Penetron participated in the 10th International Conference on Self-Healing Materials (ICSHM 2026), held July 8–10, 2026, at Drexel University in Philadelphia, Pennsylvania. The international event brought together leading researchers, engineers, and industry representatives to present and discuss the latest advances in self-healing materials and related technologies.

A global delegation of Penetron executives attended the conference, representing the United States, Greece, Italy, Brazil, India, Chile, the United Arab Emirates, Belgium, and Singapore.

“For over 50 years, Penetron has provided self-healing concrete solutions to the industry that optimize concrete durability by sealing cracks and reducing concrete permeability to limit maintenance requirements, extend structural service life, and help protect infrastructure exposed to groundwater, chemicals, chlorides, and other aggressive conditions,” says Christopher Chen, Director of The Penetron Group. “Our participation at the ICSHM reinforces Penetron’s long-standing commitment to international research collaboration and allows us to better understand emerging research and develop leading-edge solutions for real-world construction challenges.”

Hosted at Drexel University’s Bossone Research Enterprise Center, ICSHM 2026 welcomed specialists from more than 18 countries across six continents and featured over 70 technical presentations, including keynote addresses, plenary sessions, research presentations, and an interactive poster program. The conference opened with remarks from Drexel University President Antonio Merlo and ICSHM Chair Dr. Nele De Belie. Finally, the conference provided valuable opportunities for researchers and industry specialists to strengthen cooperation between academia and the construction sector to further develop self-healing technologies.

“Extending the service life of concrete infrastructure requires cooperation between universities, materials specialists, engineers, and industry,” said Jozef Van Beeck, Director of International Sales and Marketing for The Penetron Group. “ICSHM 2026 provided an important forum for connecting scientific research with the practical requirements of the global construction industry.”

The Penetron Group is a leading manufacturer of specialty construction products for concrete waterproofing, concrete repairs, and floor preparation systems. The Group operates through a global network, offering support to the design and construction community through its regional offices, representatives, and distribution channels.

For more information on Penetron waterproofing solutions, please visit penetron(dot)com or Facebook(dot)com/ThePenetronGroup, email CRDept(at)penetron(dot)com or contact the Corporate Relations Department at 631-941-9700.

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SOURCE The Penetron Group

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Singtel Receives Four Frost & Sullivan 2026 Recognitions for Leadership in Enterprise Connectivity, Cybersecurity, and Digital Transformation

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The recognitions highlight Singtel’s leadership in secure connectivity, network transformation, IoT innovation, and cybersecurity, delivering customer value through intelligent digital infrastructure and AI-enabled enterprise services.

SAN ANTONIO, July 19, 2026 /CNW/ — Frost & Sullivan is pleased to honor Singtel with the 2026 Southeast Asia IoT Connectivity Service Provider Company of the Year, 2026 Singapore Network Transformation Customer Value Leadership, 2026 Singapore Cybersecurity Services Company of the Year, and 2026 Singapore SD-WAN and SASE Service Provider Company of the Year recognitions. These acknowledgements reflect Singtel’s outstanding achievements in delivering secure, intelligent, and scalable digital infrastructure that enables enterprises to modernize operations, simplify complexity, and accelerate digital transformation across Singapore and Southeast Asia. They underscore the company’s consistent leadership in strategy execution, customer value creation, and innovation across enterprise connectivity, cybersecurity, software-defined networking, and IoT connectivity services.

Frost & Sullivan evaluates companies through a rigorous benchmarking process across two core dimensions: strategy effectiveness and strategy execution. Singtel excelled in both, demonstrating its ability to anticipate evolving enterprise requirements while consistently translating long-term vision into measurable customer outcomes. Through platforms such as Singtel CUBΣ (CUBE) and its multidomestic IoT connectivity architecture, the company continues to unify networking, cybersecurity, automation, and AI-driven intelligence into integrated solutions that address the growing complexity of hybrid, multicloud, and connected environments. “Singtel has established itself as a benchmark for enterprise digital infrastructure by converging connectivity, cybersecurity, network intelligence, and IoT orchestration into a unified, customer-centric ecosystem. Its disciplined execution, platform-led innovation, and commitment to simplifying complex enterprise environments continue to strengthen operational resilience and deliver sustained value for organizations across the region,” said Kenny Yeo, Director at Frost & Sullivan.

Guided by a long-term strategy focused on digital innovation, intelligent infrastructure, and customer-centric transformation, Singtel has moved well-beyond traditional telecommunications to a trusted technology partner for enterprises navigating increasingly connected and data-driven environments. Its strategic investments in AI-enabled operations, cloud-native platforms, secure connectivity, and ecosystem partnerships enable organizations to modernize critical infrastructure while maintaining the flexibility to support future business growth.

The company’s strategic agility and sustained investment in integrated digital platforms have enabled it to scale innovative services across local, regional, and global enterprise environments. Innovation remains central to Singtel’s approach through solutions including the CUBΣ connected intelligence platform, multidomestic IoT connectivity powered by eSIM orchestration, managed cybersecurity services, AI-driven network automation, and network-as-a-service capabilities. These solutions simplify network and security management, strengthen cyber resilience, improve operational visibility, and provide enterprises with scalable, secure, and high-performing connectivity across cloud, edge, IoT, and hybrid infrastructures.

By streamlining service delivery through intelligent automation, centralized orchestration, proactive monitoring, and flexible managed and co-managed service models, Singtel continues to help organizations reduce operational complexity while improving service reliability and business agility. Its ability to integrate best-of-breed technologies in a unified operational framework, combined with strong regional network ownership and localized expertise, enables customers to confidently scale digital initiatives while maintaining security, governance, and operational excellence.

Frost & Sullivan commends Singtel for setting a high standard in competitive strategy, execution, and customer value across multiple technology domains. By combining intelligent networking, secure digital infrastructure, AI-enabled operations, and cross-border IoT capabilities in an integrated platform strategy, the company is shaping the future of enterprise connectivity while helping organizations build resilient, future-ready digital ecosystems.

Each year, Frost & Sullivan presents its Company of the Year and Customer Value Leadership recognitions to organizations that demonstrate outstanding strategy development and implementation, resulting in measurable improvements in customer satisfaction, competitive positioning, and business performance. These recognitions honor forward-thinking companies that continuously raise industry standards through innovation, operational excellence, and long-term value creation.

Frost & Sullivan Best Practices Recognition
Frost & Sullivan’s Best Practices Recognitions honor companies across regional and global markets that exhibit exceptional achievement and consistent excellence in areas such as leadership, technological innovation, customer experience, and strategic product development. Each recognition is the result of a rigorous analytical process in which Frost & Sullivan industry experts benchmark performance through comprehensive interviews, deep-dive analysis, and extensive secondary research. The goal is to identify true best-in-class organizations that are driving transformative growth and setting new industry standards.
Contact us: Start the discussion.

Contact:
Tarini Singh
E: Tarini.Singh@frost.com

 

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SOURCE Frost & Sullivan

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