#IBM Maximo

[govindhtech]

IBM Maximo AWS Deployment Strategies

The Business Value of IBM Maximo, a recent IDC report that surveyed 9 companies with an average of 8,500 employees, found that adopting IBM Maximo resulted in a business benefit of USD 14.6 million per year per organization, 43% less unplanned downtime, and USD 8.6 million in total equipment cost avoidances.

One comprehensive, cloud-based application platform for asset monitoring, management, predictive maintenance, and reliability planning is IBM Maximo Application Suite (MAS). Maximo optimizes performance, extends asset lifecycles, and reduces downtime and costs for high-value assets using AI and analytics. Hosting Maximo on a scalable infrastructure maximizes performance, hence the current tendency is to shift it to the cloud. In this trip, MAS migration and deployment on AWS Cloud are gaining popularity.

The growing demand for Maximo AWS Cloud migration

Migrating to cloud helps enterprises improve operational resilience and dependability while updating software with minimal effort and infrastructure constraints. Due to the growing demand for data-driven asset management, firms must aggregate data from diverse departments to identify trends, generate predictions, and make better asset management decisions.

Last April, IBM said Maximo 7.6 and add-on support would stop in September 2025. All Maximo EAM customers must upgrade to the latest cloud-based MAS. Maximo migration and modernization are become increasingly significant to clients.

IBM has released new containerized versions of Maximo Application Suite as a Service (MAS SaaS) on AWS Marketplace with Bring Your Own License (BYOL) to assist Maximo migration to AWS. MAS SaaS on AWS is another milestone in Maximo’s integration of Monitor, Health, and Visual Inspection into a unified suite.

What makes MAS SaaS distinct

IBM Site Reliability Engineering (SRE) specialists use best practices to continuously maintain and administer MAS SaaS, a subscription-based AWS service. This partnership gives customers an industry-leading IBM asset management system underpinned by AWS’s size, agility, and cost-efficiency.

Upgrades and migrations to MAS 8 are possible with MAS SaaS. The data update is similar to prior upgrades, but ROSA and other dependencies require architecture changes. The migration is comparable to how clients transitioned from on-premise to Maximo EAM SaaS Flex, but with MAS changes. Perpetual on-premises customers would stop paying Service & Support (S&S) and purchase a SaaS subscription, on-premises Subscription License customers would start a new subscription, and existing MAS Flex and MAS Managed Service customers would start a new subscription to migrate to MAS SaaS.

Our IBM Consulting Cloud Accelerator (ICCA) technology lets firms plan migration and upgrade strategies before investing.

Maximo migration strategy of a global energy firm

IBM worked closely with an energy company confronting the following challenges:

Infrastructure needed for latest Maximo version takes longer.

WebSphere, Maximo’s core, experienced high-availability and performance difficulties.

Lack of data fabric and integration layer hinders cross-application data interchange.

Complex setup, failures, and security with manual end-to-end deployment.

Since Maximo Application Suite 8 (MAS8) tackles industry issues like failure risk, escalating maintenance costs, sustainability, and compliance laws, the customer chose it. The client chose AWS Cloud for its deployment flexibility, scalability, high availability, and secure architecture. 

Approach to solution

This is how IBM accelerated the energy company’s Maximo move to AWS:

Used Infra as a code to upgrade Maximo from 7.6.0.9 to 7.6.1.2.

IaC allowed instance spin-up for auto scaling. This automation reduces the time to spin up and execute the new environment and addresses multi-AWS availability zone deployment latency.

Used AWS DMS for data migration and schema conversion.

IaC spun the DR environment on demand to reduce database replication (DR) infrastructure and expense. DR capabilities update data in availability zone and DR area.

Achieved data exchange across applications using IBM Cloud Pak for Data and standardized integration using IBM Cloud Pak for Integration components.

Solution components

Maximum Enterprise Application Management (EAM) has a 3-tier design with these components:

HTTP/Web Tier and Application Tier using IBM WebSphere and HIS installed EC2 instance under private subnet for application security.

Database Tier uses AWS Oracle RDS with replication for DR under private subnet.

AWS best practices were used to configure VPC with public and private subnets.

Application servers and deployment manager were autoscaled by Auto Scaling Group. 

Maximum web-based UI resolution for external access using AWS Route 53.

WAF was the initial line of defense against web exploits.

Integration of Terraform and CFT IaC scripts provided autoscaling architecture.

AWS Reference Architecture

Max on RedHat OpenShift Service on AWS (ROSA) helps clients

Containerized MAS 8.0 runs on RedHat OpenShift. AWS, IBM, and RedHat developed an IBM MAS on ROSA reference architecture to help customers inexperienced with production containerization. ROSA, a fully managed, turnkey application platform, supports IBM MAS configuration and offloads cluster lifecycle management to RedHat and AWS, allowing organizations to focus on application deployment and innovation. This means IBM MAS clients don’t need to develop, administer, or maintain RedHat OpenShift clusters.

Operating Model and Maximo Migration

Top 3 Maximo AWS migration accelerators

Clients can migrate to the cloud using three IBM MAS deployment methods on AWS Cloud:

ROSA-powered MAS SaaS on AWS

ROSA-powered AWS MAS

Customer-hosted ROSA

Why use customer-hosted ROSA

The customer-hosted ROSA option for hosting IBM MAS in a customer’s VPC with ROSA is powerful. ROSA is perfect for MAS deployments because it seamlessly deploys, scales, and manages containerized applications.

The benefits of this choice are enormous. Full control over the infrastructure while still subject to the organization’s monitoring, controls, and governance standards allows businesses to customize and adjust the environment to their needs. This control includes adding MAS integrations and enforcing cloud security and governance requirements. ROSA charges are combined into one AWS bill and drawn from any AWS enterprise agreement, simplifying financial management.

AWS enterprise agreements and Compute Savings Plans offer infrastructure savings for MAS implementations. Because the ROSA cluster operates under the customer’s AWS account, customers can buy upfront ROSA contracts and get a one-year or three-year ROSA service charge discount.

Why IBM for Maximo AWS migration?

Any modernization effort must include cloud migration. Cloud migration is not a one-size-fits-all method, and each organization faces unique cloud adoption difficulties.

IBM Consulting’s Application Modernization offering helps clients migrate and modernize AWS applications faster, cheaper, and more efficiently, reducing technical debt and accelerating digital initiatives while minimizing business risk and improving business agility.

IBM offers unique cloud migration services to accelerate customer application migration to AWS:

Cloud migration factory capabilities including proven frameworks and processes, automation, migrating templates, security policies, and AWS-specific migration squads speed up delivery.

IBM Garage Methodology, IBM’s cloud services delivery capabilities, ROSA, and AWS Migration tools and accelerators accelerate migration and cloud adoption.

ICCA, IBM’s proprietary framework for migration and modernization, reduces risk. ICCA for AWS Cloud automates various modernization procedures, simplifying and speeding up company agility. Before investing, businesses can plan migration and modernization strategies. Discover IBM Consulting Cloud Accelerator for AWS Cloud.

Our well-defined pattern-based migration methodology includes re-factor, re-platform, and containerization using AWS managed services and industry-leading tools to remove and optimize technical debt.

Finally, IBM offers customizable t-shirt-sized price models for small, medium, and large migration sizes, ensuring clients’ migration scope is obvious.

IBM helps clients migrate applications, like Maximo to AWS Cloud

In conclusion, clients seek IBM’s expertise to:

1.Upgrade Maximo 7.6x (expiring 2025) to MAS 8. 

2.On-premise workload to AWS Cloud for elastic, scalable, and highly available infrastructure and runtime

IBM Consulting can help

AWS Premier Partner IBM Consulting accelerates hybrid cloud journeys on the AWS Cloud by leveraging business and IT transformation skills, processes, and tools from many industries. On AWS Cloud, IBM’s security, enterprise scalability, and open innovation with Red Hat OpenShift enable enterprises grow swiftly.

BM Consulting develops cloud-native apps in AWS Cloud with 21,000+ AWS-certified cloud practitioners, 17 validated SDD programs, and 16 AWS competencies. IBM Consulting is the best AWS partner due to acquisitions like Nordcloud and Taos, advancements at IBM Research, and co-development with AWS.

Read more on Govindhtech.com

[biglisbonnews]

How to build more sustainable transportation infrastructure Transportation infrastructure—the networks of fixed installations that ensure safe transport of people and goods—is a critical part of modern economies. The post How to build more sustainable transportation infrastructure appeared first on IBM Blog. https://login.w3.ibm.com/oidc/sps/auth?client_id=MmNiYmFkNTQtM2ZhZi00&Target=https%3A%2F%2Flogin.w3.ibm.com%2Foidc%2Fendpoint%2Fdefault%2Fauthorize%3FqsId%3D41c42ea3-5529-4624-8a6f-4341244173aa%26client_id%3DMmNiYmFkNTQtM2ZhZi00

[sonalikrishnan]

Build predictive models with prebuilt templates

IBM Maximo Predict, part of the IBM Maximo Application Suite, focuses on the needs of maintenance managers and reliability engineers to identify potential failures and optimize production output. It looks for patterns in asset data, how the asset is being used, and the environment in which it is operating.

The world is more connected than ever before. Using Internet of Things (IoT) sensors and other technologies, engineers in asset-intensive industries are collecting large amounts of data from their equipment. Yet many engineers struggle to draw insights from this data. They struggle to understand data patterns and the causal relationships that can help them extend asset life, reduce unplanned downtime, and reduce maintenance costs. It’s as if their equipment is speaking on mute. Their equipment has so much to say but they simply can’t hear it.

Contact us free demo: https://pragmaedge.com/contact

[customsoftwarephilippines]

EACOMM named IBM Philippines Rookie Partner of the Year for 2024

[james-pratt]

What is the difference between IBM Maximo's Enterprise Asset Management and Asset Performance Management?

I now certified to sell IBM Maximo Enterprise Asset Management software.

Wind turbines under construction in central Oklahoma near Calumet. IBM Maximo can be used to track maintenance and provide predictive analysis on repairs using Watson AI technology. IBM’s Maximo software is a comprehensive suite of applications designed to help industries such as electrical power generation and transmission, governments, and manufacturers manage and optimize their myriad of…

[maximoesolution]

IBM Maximo: Service Provider Industry Solutions

Ready to grow your service provider business? IBM Maximo UAE is the market leader in operations optimisation and customer satisfaction. IBM Maximo streamlines workflows, automates common tasks, and provides real-time operational information. You can deliver faster response times and more personalised service while decreasing costs and maximising productivity. IBM Maximo helps you remain ahead in today's fast-paced business world, whether you're managing a fleet or critical infrastructure. Why wait? IBM Maximo UAE improves your company today!

[prometheusgroup]

Discover Prometheus Group

Discover how Prometheus Group transforms asset management and operations, making complex tasks simple. Imagine streamlining your plant's maintenance and safety needs with our leading software solutions. From planning to execution, we integrate seamlessly with top ERP, EAM, and CMMS systems like SAP, IBM Maximo, and Oracle. Experience a cloud-based platform that simplifies user experience while empowering your organization to engage, monitor, and manage data more effectively. Join us and elevate how your organization operates, enhancing reliability, reducing costs, and maximizing equipment uptime. Let's revolutionize your asset management together. Explore more at Prometheus Group.

[semanticlp]

KPI Green Energy Sets Industry Benchmark with IBM Maximo Renewables Deployment

KPI Green Energy Ltd. has successfully deployed IBM Maximo Renewables across its 1.4+ GW portfolio of solar, wind, and hybrid assets spread across more than 73 sites. This strategic rollout marks a significant leap toward data-driven operations, integrating real-time performance monitoring directly into KP Group’s Network Operations Centre (NOC). The result is a seamless, unified view of asset…

[ascendient-learning]

Advance Your Career with Ascendient Learning's IBM Certification Courses 

Businesses prioritize professionals with specialized, certified skills, and among the most influential credentials are IBM certifications, known globally for their rigor, innovation, and relevance. According to a recent IT Skills and Salary report, professionals holding IBM certifications often earn salaries approximately 20% higher than their non-certified peers. Moreover, organizations leveraging certified professionals achieve faster innovation cycles, improved efficiency, and stronger competitive advantages. 

Ascendient Learning stands out as a trusted IBM education provider, recognized as TD SYNNEX – IBM's Training Provider of the Year (2019-2020). With unmatched quality, diverse course offerings, and flexible learning formats, Ascendient empowers learners to become IBM-certified experts, driving success for both individuals and businesses. 

Unrivaled Portfolio of IBM Certification Courses 

Ascendient Learning offers the largest selection of IBM-certified training courses in North America. Courses cover eighteen specialized IBM technology categories, ensuring comprehensive skill development that aligns directly with industry demands. 

IBM Analytics: Courses such as Cognos Analytics, SPSS Modeler, and Planning Analytics empower professionals with sophisticated data-driven decision-making capabilities. 

Artificial Intelligence: Training in IBM Watson and WatsonX equips learners to leverage AI-driven solutions, optimizing operations across industries from healthcare to finance. 

Cloud & Automation: Courses in Cloud Pak, WebSphere, and Business Automation Workflow prepare participants to build and manage secure, agile, cloud-based infrastructures efficiently. 

Security Solutions: QRadar, Guardium, and Verify training ensures that professionals can proactively identify, manage, and respond to cybersecurity threats. 

Sustainability & Asset Management: Certifications in Maximo, TRIRIGA, and Sterling enhance skills in asset lifecycle management, helping organizations significantly reduce operational costs and improve sustainability practices. 

Flexible Learning Formats to Fit Every Professional’s Schedule 

Instructor-Led Virtual Sessions: Engage directly with expert trainers from anywhere in the world, from anywhere in the world, in real-time.  

Guaranteed-to-Run Virtual Courses: Providing certainty and reliability, allowing you to plan training with confidence.  

Self-Paced Online Learning: Ideal for professionals needing maximum flexibility to learn at their own pace.   

In-Person Classroom Training: For those preferring immersive, face-to-face interactions with instructors and peers. 

Ascendient offers custom curriculum design and flexible FlexCredit pricing, allowing enterprises and individuals to tailor learning precisely to their needs and budgets. 

Proven Excellence and Exceptional Outcomes 

Ascendient Learning’s quality of instruction has been recognized by IBM. In 2020, Ascendient earned IBM’s Global Training Provider Excellence Award, highlighting exceptional standards in quality, student satisfaction, and training availability.  

Organizations report tangible benefits from Ascendient-certified IBM training. For example, a leading healthcare provider streamlined patient data management using skills gained from IBM Cloud Pak for Data certification, reducing operational complexities by over 30%. Similarly, financial services companies deploying IBM’s QRadar security certifications significantly improved their cybersecurity posture, enhancing threat detection and response time by approximately 40%. 

Enhance Your Professional Profile with IBM Digital Badges 

Ascendient Learning is also a leading issuer of IBM Digital Badge courses. IBM badges offer official recognition of your achievements and provide verifiable proof of your skills across professional platforms like LinkedIn. Digital badges increase your professional visibility, credibility, and appeal to employers. 

Why Choose Ascendient Learning for IBM Certifications? 

Ascendient Learning delivers unmatched advantages:  

Award-winning, expert-led training programs with highly rated instructors.  

The largest Guaranteed-to-Run IBM schedule eliminates uncertainty from training planning.  

Dedicated IBM education team, collectively bringing over 50 years of training experience.  

Comprehensive learning subscriptions and flexible pricing models to maximize value and convenience. 

Conclusion 

Your career trajectory is directly linked to your skills and certifications. By choosing IBM certification courses through Ascendient Learning, you invest strategically in your professional future and position yourself at the forefront of technology innovation.  

Don’t miss this opportunity to master vital IBM technologies and advance your career with credibility and confidence. 

Visit: https://www.ascendientlearning.com/it-training/ibm

[govindhtech]

Modernize IBM Maximo using AWS and Red Hat

For 40 years, IBM Maximo has led enterprise asset management by centralizing task, inventory, regulatory compliance, and reporting management.

IBM Maximo Application Suite (MAS), the next iteration of IBM Maximo, improves user experience, integration, AI analytics, and cloud deployment choices. IBM MAS is a powerful and modern asset management solution.

The Red Hat OpenShift-based IBM MAS integrated application suite supports hybrid and on-premises installations and is portable. An enterprise cloud-based asset management platform, it uses AI, IoT, and analytics to enhance equipment performance, extend asset lifecycles, and decrease operational downtime and costs. IBM MAS lets customers access important monitoring, maintenance, and reliability applications from a single platform for business-wide management.

The next-generation IBM MAS simplifies installation and administration and improves user experience with shared data, workflow, UX, and flexible application usage. You and your team will gain greater operational visibility of your assets through their lifecycle with faster ROI, increased productivity, and operational uptime with expanded access to CMMS, EAM, APM, and RCM.

IBM Maximo 7.x clients must switch to IBM MAS when it ends. IBM MAS is exclusively containerized for Red Hat OpenShift. Amazon Web Services (AWS) has worked with IBM and Red Hat to produce an IBM MAS on Red Hat OpenShift Service for AWS (ROSA) reference architecture to help customers inexperienced with production containerization.

This blog article will detail the recommended alternatives for running IBM MAS on AWS, the architecture, and how IBM, Red Hat, and AWS components work together to give a stable foundation. We will also discuss architectural options so you can choose the best one for your firm.

https://govindhtech.com/modernize-ibm-maximo-using-aws-and-red-hat/

[gimbaus]

What factors determine the pricing of IBM Maximo for businesses?

When considering enterprise asset management (EAM) solutions, one of the most critical aspects for businesses is the cost. A prominent player in this field is IBM Maximo Pricing, a powerful tool designed to optimize the management of assets, maintenance, and operations across various industries. However, understanding what factors determine the pricing of IBM Maximo for businesses is essential to ensuring that it aligns with both budgetary constraints and operational needs.

IBM can vary based on several key factors that influence the overall cost. These factors include the scope of deployment, the number of users, the level of customization, and the specific industry requirements. Additionally, businesses must also consider the type of deployment (on-premise or cloud-based) and the level of integration needed with existing systems. In this article, we will explore these factors in detail to help businesses make informed decisions about the pricing of IBM Maximo.

Factors Influencing the Cost of IBM Maximo for Businesses

1. Scope of Deployment

The size and complexity of the business operations significantly impact the cost of enterprise asset management systems. Larger organizations with more extensive asset management needs, such as multiple locations or diverse asset types, will require a more robust system. This leads to higher costs due to the need for additional modules, more advanced features, and greater system capabilities.

For businesses with limited operations, a more basic version of the system may suffice, reducing the overall price. However, as businesses grow, the demand for scalability increases, often leading to higher pricing tiers for more extensive configurations.

2. Number of Users

Another critical factor in determining pricing is the number of users. Typically, these systems operate on a subscription model, where the cost increases with the number of licenses purchased for users. Businesses must account for both the number of individuals who will actively use the system and those who need access to data, reports, or dashboards.

For example, a small team may only require a handful of licenses, whereas a large organization may need hundreds of users, increasing the overall cost. The more users who need access, the higher the licensing fees will be. For more info, click here

3. Deployment Type: On-Premise vs. Cloud-Based

These asset management solutions offer flexibility in deployment options, which can affect the pricing. Businesses must decide between an on-premise solution or a cloud-based one.

On-Premise Deployment: With on-premise deployment, the software is installed and maintained on the organization’s own servers. This option typically involves a higher upfront cost due to the need for hardware infrastructure, system installation, and maintenance. However, it can be a suitable option for companies with strict data security requirements or those that prefer to manage their IT infrastructure internally.

Cloud-Based Deployment: Cloud-based deployments typically follow a subscription model, where businesses pay a recurring fee based on the number of users or the size of the deployment. The cloud option can be more cost-effective in the short term, as it eliminates the need for hardware and internal infrastructure management. Additionally, cloud deployments often provide easier scalability and integration, but the recurring fees can accumulate over time.

Both deployment options have their advantages and drawbacks, and the decision depends largely on the business’s specific needs, existing IT infrastructure, and long-term strategic goals.

4. Customization and Integration Requirements

The system is highly customizable to suit the unique needs of different industries and business operations. However, customization can significantly impact pricing. Businesses that require specialized features, workflows, or reporting will likely need to invest in customization services, which can add to the cost of the software.

Integration with existing systems, such as enterprise resource planning (ERP) systems, inventory management systems, or other business software, can also affect the overall price. The more integrations required, the higher the cost, as it may involve additional technical support, development, and system testing.

Customization and integration services can either be provided by the solution provider or third-party consultants, and the cost varies based on the complexity of the task.

5. Industry-Specific Requirements

Different industries have unique requirements for asset management and maintenance. The solution offers industry-specific functionalities that cater to sectors such as manufacturing, utilities, transportation, and healthcare. These solutions often include specialized features, compliance capabilities, and industry-standard best practices.

For example, the healthcare industry may require enhanced functionality for medical equipment management, while manufacturing businesses might focus more on maintenance scheduling and asset downtime tracking. The more specialized the requirements, the higher the cost, as businesses may need to purchase additional modules or features tailored to their industry.

6. Support and Maintenance Costs

Support and maintenance are essential components of the pricing structure. The solution provider offers different levels of support, from basic technical assistance to premium services that include 24/7 access to a dedicated support team, regular software updates, and enhanced troubleshooting.

The level of support required will influence the overall pricing. Small businesses with fewer operational complexities may opt for basic support, while larger organizations may need comprehensive support contracts to ensure the system runs smoothly and efficiently.

7. Training and User Adoption

For businesses to realize the full potential of the system, proper training is essential. While some basic training may be included in the cost of the software, more in-depth training sessions or ongoing education programs often come at an additional cost. Training expenses can include classroom sessions, online tutorials, and on-site training from the solution provider or third-party trainers.

User adoption can also play a role in pricing, as businesses may need to invest in resources to ensure that their teams are fully equipped to use the system effectively. This can include providing resources for onboarding, continuous education, and process improvement initiatives to maximize the benefits of the solution.

Summary

When evaluating pricing for enterprise asset management systems, businesses must take a comprehensive approach to understand all the factors that contribute to the total cost. By considering the scope of deployment, number of users, deployment type, customization needs, industry-specific requirements, support levels, and training, businesses can tailor their asset management solution to fit their unique needs and budget.

While the initial cost may seem high, the long-term benefits of an optimized asset management system can far outweigh the investment. Such systems provide the tools needed to streamline operations, reduce downtime, and improve asset performance, making them a valuable investment for businesses aiming for operational excellence.

[sonalikrishnan]

Upgrade to IBM MAS - Migration from EAM to IBM MAS 

Upgrading to IBM MAS is crucial as Maximo Version 7.6 nears its "End of Service" in September 2025. 

This entails transitioning from Maximo EAM to the latest IBM Maximo Application Suite (MAS) version 8, offering enhanced features for streamlined operations.  

The migration involves several steps:  

Assess your current EAS environment  

Create a migration plan 

Execute data migration  

Test thoroughly  

Roll out IBM MAS.  

Notably, the deadline for this migration is September 30, 2025, after which Maximo 7.6.1 and older versions will no longer receive support. 

Benefits of IBM MAS 

Enhanced asset performance 

Cost reduction and scalability 

Improved life cycle asset management 

Unified processes and data analysis 

Better reporting capabilities 

To explore further or request a Maximo Upgrade Assessment, connect with Pragma Edge.

Learn more: https://pragmaedge.com/migration-from-eam-to-ibm-mas/

[differenttimemachinecrusade]

IoT Analytics Market Analysis: Size, Share, Scope, Forecast Trends & Industry Report 2032

The IoT Analytics Market was valued at USD 26.90 billion in 2023 and is expected to reach USD 180.36 billion by 2032, growing at a CAGR of 23.60% from 2024-2032.

The Internet of Things (IoT) Analytics Market is witnessing exponential growth as organizations worldwide increasingly rely on connected devices and real-time data to drive decision-making. As the number of IoT-enabled devices surges across sectors like manufacturing, healthcare, retail, automotive, and smart cities, the demand for analytics solutions capable of processing massive data streams is at an all-time high. These analytics not only help in gaining actionable insights but also support predictive maintenance, enhance customer experiences, and optimize operational efficiencies.

IoT Analytics Market Size, Share, Scope, Analysis, Forecast, Growth, and Industry Report 2032 suggests that advancements in cloud computing, edge analytics, and AI integration are pushing the boundaries of what’s possible in IoT ecosystems. The ability to process and analyze data at the edge, rather than waiting for it to travel to centralized data centers, is allowing businesses to act in near real-time. This acceleration in data-driven intelligence is expected to reshape entire industries by improving responsiveness and reducing operational lags.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/5493 

Market Keyplayers:

Accenture (myConcerto, Accenture Intelligent Platform Services)

Aeris (Aeris IoT Platform, Aeris Mobility Suite)

Amazon Web Services, Inc. (AWS IoT Core, AWS IoT Analytics)

Cisco Systems, Inc. (Cisco IoT Control Center, Cisco Kinetic)

Dell Inc. (Dell Edge Gateway, Dell Technologies IoT Solutions)

Hewlett Packard Enterprise Development LP (HPE IoT Platform, HPE Aruba Networks)

Google (Google Cloud IoT, Google Cloud BigQuery)

OpenText Web (OpenText IoT Platform, OpenText AI & IoT)

Microsoft (Azure IoT Suite, Microsoft Power BI)

Oracle (Oracle IoT Cloud, Oracle Analytics Cloud)

PTC (ThingWorx, Vuforia)

Salesforce, Inc. (Salesforce IoT Cloud, Salesforce Einstein Analytics)

SAP SE (SAP Leonardo IoT, SAP HANA Cloud)

SAS Institute Inc. (SAS IoT Analytics, SAS Visual Analytics)

Software AG (Cumulocity IoT, webMethods)

Teradata (Teradata Vantage, Teradata IntelliCloud)

IBM (IBM Watson IoT, IBM Maximo)

Siemens (MindSphere, Siemens IoT 2040 Gateway)

Intel (Intel IoT Platform, Intel Analytics Zoo)

Honeywell (Honeywell IoT Platform, Honeywell Forge)

Bosch (Bosch IoT Suite, Bosch Connected Industry)

Trends Shaping the IoT Analytics Market

The evolution of the IoT analytics market is marked by key trends that highlight the sector’s transition from basic connectivity to intelligent automation and predictive capabilities. One of the most significant trends is the growing integration of Artificial Intelligence (AI) and Machine Learning (ML) into analytics platforms. These technologies enable smarter data interpretation, anomaly detection, and more accurate forecasting across various IoT environments.

Another major trend is the shift toward edge analytics, where data processing is performed closer to the source. This reduces latency and bandwidth usage, making it ideal for industries where time-sensitive data is critical—such as healthcare (real-time patient monitoring) and industrial automation (machine health monitoring). Additionally, multi-cloud and hybrid infrastructure adoption is growing as companies seek flexibility, scalability, and resilience in how they handle vast IoT data streams.

Enquiry of This Report: https://www.snsinsider.com/enquiry/5493 

Market Segmentation:

By Type

Descriptive Analytics

Diagnostic Analytics

Predictive Analytics

Prescriptive Analytics

By Component

Solution

Services

By Organization Size

Small & Medium Enterprises

Large Enterprises

By Deployment

On-Premises

Cloud

By Application

Energy Management

Predictive Maintenance

Asset Management

Inventory Management

Remote Monitoring

Others

By End Use

Manufacturing

Energy & Utilities

Retail & E-commerce

Healthcare & Life Sciences

Transportation & Logistics

IT & Telecom

Market Analysis

The IoT analytics market is expected to grow significantly, driven by the proliferation of connected devices and the need for real-time data insights. According to recent forecasts, the market is projected to reach multibillion-dollar valuations by 2032, growing at a robust CAGR. Key factors contributing to this growth include the increasing use of smart sensors, 5G deployment, and a shift toward Industry 4.0 practices across manufacturing and logistics sectors.

Enterprises are rapidly adopting IoT analytics to streamline operations, reduce costs, and create new revenue streams. In sectors such as smart agriculture, analytics platforms help monitor crop health and optimize water usage. In retail, real-time customer behavior data is used to enhance shopping experiences and inventory management. Governments and municipalities are also leveraging IoT analytics for smart city applications like traffic management and energy efficiency.

Future Prospects

Looking ahead, the IoT analytics market holds vast potential as the digital transformation of industries accelerates. Innovations such as digital twins—virtual replicas of physical assets that use real-time data—will become more prevalent, enabling deeper analytics and simulation-driven decision-making. The combination of 5G, IoT, and AI will unlock new use cases in autonomous vehicles, remote healthcare, and industrial robotics, where instantaneous insights are essential.

The market is also expected to see increased regulatory focus and data governance, particularly in sectors handling sensitive information. Ensuring data privacy and security while maintaining analytics performance will be a key priority. As a result, vendors are investing in secure-by-design platforms and enhancing their compliance features to align with global data protection standards.

Moreover, the democratization of analytics tools—making advanced analytics accessible to non-technical users—is expected to grow. This shift will empower frontline workers and decision-makers with real-time dashboards and actionable insights, reducing reliance on centralized data science teams. Open-source platforms and API-driven ecosystems will also support faster integration and interoperability across various IoT frameworks.

Access Complete Report: https://www.snsinsider.com/reports/iot-analytics-market-5493 

Conclusion

The IoT analytics market is positioned as a cornerstone of the digital future, with its role expanding from simple monitoring to predictive and prescriptive intelligence. As the volume, variety, and velocity of IoT data continue to increase, so does the need for scalable, secure, and intelligent analytics platforms. Companies that leverage these capabilities will gain a significant competitive edge, transforming how they operate, interact with customers, and drive innovation.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[chloedecker0]

Choosing the Best APM Software: A Complete Guide to Boosting Business Performance

Have you ever wondered how companies maintain their assets and machinery working smoothly? The corporations built a well-defined asset performance management system.

Asset Performance Management (APM) optimizes physical asset performance and dependability through predictive maintenance, condition-based monitoring, and data analytics, extending lifespan and lowering operational costs.

With APM programs, you can monitor your equipment in real time and use predictive and condition-based maintenance to anticipate possible issues. In this blog, we will explore the depths of APM, exploring its definition, importance, top APM software vendors, etc.

Download the sample report of Market Share: https://qksgroup.com/download-sample-form/market-share-asset-performance-management-apm-software-2023-worldwide-6504 

What is Asset Performance Management (APM)?

Asset performance management (APM) is an asset management framework that reduces unexpected downtime, total maintenance costs, and environmental, health, and safety issues. APM addresses corporate objectives and how to use physical assets to achieve or surpass them. APM improves dependability while lowering costs in industries that need large equipment, such as oil and gas, manufacturing, and utilities.

Robust data management and industry-appropriate asset performance management software can help prevent equipment failure and save operating expenses. Asset performance management software developed to manage business assets. When used in information technology (IT), APM will proactively monitor programs to discover issues early on, allowing them to address them before influencing overall performance. Equipment performance management projects frequently employ big data analytics and artificial intelligence to decrease equipment failure and operating expenses. Asset data is gathered by sensors and evaluated with pattern recognition, predictive analytics, and machine learning techniques.

Top Asset Performance Management Software Vendors

IBM Maximo

IBM Maximo is an application package that suites asset monitoring, predictive maintenance management, and reliability planning. It combines AI, IoT connectivity, and analytics to help you make the most of your assets. It is deployable in the cloud as a managed SaaS service or your local Red Hat OpenShift system.

SAP EAM

SAP EAM is an asset management and maintenance software package that includes modules for asset performance management, collaboration, and spatial management, crowd service, and field service management.

 It includes elements such as risk estimate and failure modes and effects analysis to assist you in developing maintenance programs for improving asset performance and reducing downtime.

eMaint

eMaint is a CMMS platform that provides more comprehensive EAM and asset performance management features. It serves several industries, including food and beverage, automotive, warehousing, and health care, to mention a few.

It provides condition monitoring for asset performance management, allowing you to foresee breakdowns and make corrections based on AI-suggested maintenance tasks.

HxGN EAM

HxGN EAM (previously Infor EAM) is an asset management platform focused on asset performance management.

The cloud-based solution facilitates Geographic Information System (GIS) and Building Information Modeling (BIM) processes so maintenance teams can access critical information essential for assets in specific locations as needed.

It incorporates AI-powered capabilities such as risk management, condition monitoring, and reliability-centered maintenance, allowing you to make real-time, correct asset choices.

Emerson

Emerson, a worldwide technology and engineering firm, offers the Plantweb Optics Asset Performance Platform for asset performance management. The platform uses data from a variety of sources, including sensors, control systems, and maintenance records, to provide real-time asset health insights and predictive maintenance capabilities. Emerson’s solution is utilized by major corporations in the oil and gas, chemical, and power sectors to improve asset performance and save maintenance costs.

Download the sample report of Market Forecast: https://qksgroup.com/download-sample-form/market-forecast-asset-performance-management-apm-software-2024-2028-worldwide-6503 

Choosing the Best APM Software for Your Business Operations

Understanding how to explore multiple options is critical when looking for the best Asset Performance Management (APM) software for your business. This section provides a complete guide to choosing the proper Asset Management software that corresponds with your business goals.

QKS Group’s Market Intelligence Report is useful for firms wanting to select the finest Asset Performance Management Software Market. This research includes in-depth analysis, trends, and reviews of various platforms, revealing information about their capabilities, innovation, and market presence.

According to the Market Share: Asset Performance Management (APM) Software, 2023, Worldwide research, or fast-growing enterprises. Next, undertake extensive research on the various Asset Management software options. Consider their features, scalability, compatibility with your current infrastructure, simplicity of integration, and vendor support. Analyze case studies, customer evaluations, and industry reports to learn about their real-world efficacy.

The Market Forecast: Asset Performance Management (APM) Software, 2024-2028, Worldwide research anticipates sustained industry growth. Moreover, seek software that facilitates a user-friendly interface and offers customization options tailored to your specific requirements.

Talk To Analyst: https://qksgroup.com/become-client 

Conclusion

Selecting software is typically an in-depth process, but it does not have to be stressful. You can find asset performance management software that is right for your firm – and we can assist.

If you’re ready for a more detailed look at these and other leading EAM and asset performance management solutions. It’s an interactive analyst report that helps you compare ratings and reviews from genuine selection initiatives.