#IBM Maximo Application Suite
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Unlocking the Power of Data with IBM Maximo for Smarter Asset Management
Managing physical assets effectively has always been a challenge for organizations, especially in asset-intensive industries like manufacturing, utilities, and oil & gas. IBM Maximo Application Suite, a leader in Enterprise Asset Management (EAM), has transformed how businesses handle asset lifecycles by leveraging data and analytics. With the integration of advanced analytics and artificial intelligence (AI), Maximo provides businesses with tools to make smarter, faster, and more precise decisions.
This blog dives into how IBM Maximo Application Suite uses data to optimize asset management processes, from predictive maintenance to cost control, helping businesses turn insights into action. Upgrade IBM Maximo today to unlock its full potential and stay ahead in the ever-evolving world of asset management.
The Wealth of Data Maximo Collects
At the heart of Maximo’s success in asset management lies its ability to gather extensive data across various operational touchpoints. This data includes critical metrics and historical insights, helping businesses see the bigger picture and address inefficiencies. Here’s a closer look at some of the key types of data Maximo collects and processes:
Preventive Maintenance (PM) Schedules Maximo tracks planned vs. actual preventive maintenance activities, providing insights into whether assets are being maintained efficiently and on time.
Spares Inventory Consumption By monitoring the usage of spare parts and materials, Maximo helps businesses predict inventory needs, avoiding overstocking and costly shutdowns due to missing parts.
Labor and Effort Metrics Understanding how much time and effort go into maintaining assets allows organizations to optimize workforce efficiency and allocate resources more effectively.
Corrective Work Order Frequencies Maximo records the recurrence of corrective maintenance tasks, helping identify patterns in failures and guiding preventive measures.
Failure Modes and Effects Analysis (FMEA) Failure data provides deep insights into the root causes of issues, enabling businesses to address problems proactively.
Cost Trends By comparing planned vs. actual maintenance costs, Maximo offers transparency into budget adherence and highlights inefficiencies for cost optimization.
Together, these data points form a comprehensive foundation for a data-driven asset management strategy.
Turning Data into Actionable Insights
Collecting data is just the first step. The real power of Maximo comes from its ability to analyze this wealth of information and deliver actionable insights. Advanced analytics and AI technologies take center stage by transforming raw data into predictive intelligence.
Predictive Maintenance
Traditionally, maintenance was either reactive (fixing something after it breaks) or preventive (following pre-set schedules). However, these methods often lead to unexpected downtime or unnecessary maintenance costs. Maximo, powered by AI and analytics, introduces predictive maintenance into the equation.
Predictive maintenance uses historical data, patterns from similar assets, and real-time IoT monitoring to forecast when a component might fail. This allows organizations to schedule repairs only when necessary, avoiding interruptions and extending the life of their equipment. For example, if an analysis of vibration patterns in machinery shows anomalies, Maximo advises preemptive action to fix the issue before it causes unplanned downtime.
Enhanced Budgeting and Cost Optimization
Asset management involves significant expenses, from labor to materials. Maximo’s detailed cost analysis tools empower organizations to refine their budgets with greater accuracy. By leveraging predictive analytics, businesses can estimate future costs based on historical trends and maintenance data.
Additionally, Maximo identifies misaligned spending by comparing planned vs. actual costs, helping businesses redirect funds to areas that yield the highest return on investment.
Inventory Optimization
Holding excess inventory ties up capital and storage space, while insufficient stock can delay maintenance. Maximo strikes the right balance by predicting spare parts consumption based on past usage and upcoming maintenance schedules. With this intelligence, businesses can maintain lean inventories while ensuring availability when required.
Root Cause Analysis
Failures often result from underlying issues that go unnoticed. Using Failure Mode and Effects Analysis (FMEA), Maximo reveals recurring problems across assets. These insights guide teams in identifying root causes, preventing future failures, and improving equipment reliability.
Harnessing AI and IoT for Real-Time Insights
Maximo’s integration of AI and the Internet of Things (IoT) pushes asset management to the next level. Through IoT sensors, assets can now communicate directly with Maximo, delivering real-time data on performance, environment, and operating conditions.
For instance, in a manufacturing plant, IoT sensors could detect equipment overheating. Maximo processes this data instantly, recommending adjustments or maintenance to prevent damage. Coupled with AI’s ability to interpret patterns and predict outcomes, this real-time capability delivers unparalleled opportunities to refine asset performance and minimize risks.
A Perfect Tool for Decision-Making
By tapping into its advanced data-driven capabilities, Maximo enhances decision-making throughout the organization. Maintenance teams rely on Maximo to prioritize tasks based on asset conditions and criticality, while managers can align strategies with long-term operational goals. The transparency Maximo provides ensures all stakeholders—from the shop floor to the boardroom—make informed, confident choices.
Maximo’s Role in Driving Enterprise Success
The ability to harness data effectively is no longer optional; it’s critical for staying competitive. Maximo equips businesses with the tools they need to excel in a fast-changing environment where efficiency, cost control, and reliability are paramount.
With IBM Maximo, you gain more than just insights—you unlock the power to act on them. From leveraging predictive maintenance to minimizing costs and extending asset lifespans, Maximo remains a trusted partner that brings certainty to your operations.
Take the Next Step in Asset Management
If you’re ready to transform how you manage assets, IBM Maximo can help you achieve your goals. Unlock the benefits of advanced data analytics and AI to boost productivity and reduce costs across your operations. Contact LTIMindtree today to seamlessly transition to the latest version of Maximo Application Suite and start optimizing your asset management smarter and faster than ever.
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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
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ERP Software Market Expands with Increased Focus on Automation and Integration
The Enterprise Resource Planning Software Market was valued at USD 62.49 billion in 2023 and is expected to reach USD 175.63 billion by 2032, growing at a CAGR of 12.23% from 2024-2032.
ERP Software Market continues to be a cornerstone of digital transformation, enabling organizations to streamline operations, enhance visibility, and drive decision-making through integrated business solutions. As industries increasingly adopt cloud-first strategies, ERP systems are evolving to support hybrid workforces, real-time data access, and modular deployments tailored to specific business needs.
U.S. sees strong ERP demand in mid-size and large enterprises amid digital acceleration
ERP Software Market is witnessing a robust surge in demand across manufacturing, healthcare, retail, and finance sectors. Vendors are focusing on AI integration, predictive analytics, and mobile accessibility, helping enterprises in the U.S. and globally improve agility, compliance, and customer satisfaction.
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Market Keyplayers:
Epicor Software Corporation (Epicor ERP, Prophet 21)
Hewlett-Packard Development Company, L.P (HP Adaptive Management, HP Project Portfolio Management)
Infor Inc. (Infor CloudSuite, Infor M3)
IBM Corporation (IBM Cognos Analytics, IBM Maximo)
Microsoft Corporation (Microsoft Dynamics 365, Microsoft Power BI)
NetSuite Inc. (NetSuite ERP, NetSuite CRM+)
Oracle Corporation (Oracle NetSuite, Oracle Fusion Cloud ERP)
Sage Group plc (Sage Intacct, Sage 300cloud)
SAP SE (SAP S/4HANA, SAP Business ByDesign)
Unit4 (Unit4 ERP, Unit4 Financial Planning & Analysis)
Workday Inc. (Workday Financial Management, Workday Human Capital Management)
Deltek (Deltek Costpoint, Deltek Vantagepoint)
QAD Inc. (QAD Adaptive ERP, QAD Cloud ERP)
IFS AB (IFS Cloud, IFS Applications)
Acumatica (Acumatica Cloud ERP, Acumatica Construction Edition)
Syspro (SYSPRO ERP, SYSPRO Avanti)
Tally Solutions Pvt Ltd (TallyPrime, Tally ERP 9)
Odoo SA (Odoo ERP, Odoo CRM)
Priority Software (Priority ERP, Priority Zoom)
Ramco Systems (Ramco ERP Suite, Ramco Global Payroll)
abas Software GmbH (abas ERP, abas Distribution)
Plex Systems Inc. (Plex Smart Manufacturing Platform, Plex ERP)
Market Analysis
The ERP Software Market is undergoing a significant shift from on-premise systems to flexible cloud-based models. Businesses are recognizing the importance of end-to-end integration across finance, supply chain, human resources, and customer relationship management. In the U.S., rapid digitization of legacy systems and the need for operational resilience have driven major ERP investments. Meanwhile, Europe’s focus on regulatory compliance and data security is influencing adoption, especially in finance and public sectors.
Market Trends
Migration to cloud-native ERP platforms for scalability
Integration of AI/ML for real-time insights and automation
Growing demand for industry-specific ERP solutions
Increased adoption among SMEs due to flexible pricing models
Expansion of mobile ERP access for remote workforce
ERP systems incorporating advanced data visualization tools
Focus on cybersecurity and data governance within ERP architecture
Market Scope
The ERP Software Market is not limited to enterprise giants; it is rapidly becoming accessible and indispensable for mid-sized and growing businesses. Modular ERP solutions are being adopted across various sectors for their ability to streamline workflows and improve productivity.
Cross-departmental integration enhancing operational efficiency
Customizable modules for different industry verticals
Cloud-hosted ERP systems supporting global scalability
Real-time financial and inventory tracking
Seamless third-party integrations (CRM, BI, HRM tools)
Enhanced data security features ensuring regulatory compliance
Forecast Outlook
The ERP Software Market is set to evolve further with a focus on intelligent automation and seamless cross-functional visibility. As organizations prioritize agility and data-driven strategies, ERP solutions will play a critical role in aligning business goals with operational execution. The U.S. and European markets are expected to continue driving innovation through increased investment in AI-powered ERP platforms, real-time analytics, and flexible deployment models that cater to dynamic market conditions.
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Conclusion
The future of the ERP Software Market lies in its adaptability, intelligence, and ability to unify complex business processes across geographies. With enterprises in the U.S. and Europe striving for operational excellence and digital scalability, ERP platforms are emerging as strategic assets—not just software systems. Organizations that invest in next-gen ERP now will be better equipped to lead, innovate, and scale in an increasingly competitive global environment.
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Internet of Things (IoT) in Agriculture Market Size, Share, Trends, Demand, Future Growth, Challenges and Competitive Analysis
"Global Internet of Things (IoT) in Agriculture Market - Size, Share, Demand, Industry Trends and Opportunities
Global Internet of Things (IoT) in Agriculture Market, By Component (Hardware, Software, Connectivity and Services), Application (Livestock Monitoring, Precision Crop Farming, Indoor Farming, Aquaculture, Integrated Pest Management, Water Supply Management, Others), Type (Small Farms, Mid-Sized, Large), Farm Production Planning Stage (Pre-Production Planning, Production Planning, Post-Production Planning), System (Sensing and Monitoring System, Automation and Control System, and Others) – Industry Trends.
Access Full 350 Pages PDF Report @
**Segments**
- **Type:** The IoT in agriculture market can be segmented based on type into hardware, software, and services. Hardware includes sensors, monitoring devices, GPS systems, drones, and others. Software involves platforms for data analysis, visualization tools, and farm management software. Services encompass consulting, integration, and support services. - **Application:** In terms of application, the market can be categorized into precision farming, livestock monitoring, smart greenhouses, irrigation systems, inventory management, and others. Precision farming is a key application area that utilizes IoT technology for crop monitoring, soil health assessment, and predictive analytics. - **End-User:** The end-user segmentation of the IoT in agriculture market includes farmers, agricultural cooperatives, agribusinesses, and government bodies. Farmers are adopting IoT solutions to optimize resource utilization, enhance productivity, and ensure sustainability in their agricultural practices.
**Market Players**
- **IBM Corporation:** IBM offers IoT solutions for agriculture that focus on data-driven insights, predictive analytics, and smart farming practices. Their offerings include Watson Decision Platform for Agriculture and IBM Maximo Agricultural Insights. - **Cisco Systems, Inc.:** Cisco provides networking infrastructure and IoT solutions for agriculture to enable connectivity, automation, and real-time monitoring in farm operations. Their solutions help in improving crop yields, reducing downtime, and enhancing decision-making processes. - **Trimble Inc.:** Trimble specializes in precision agriculture technology and offers IoT solutions for farmers to manage field activities, monitor crop health, and optimize resource usage. Their offerings include precision farming hardware, software, and guidance systems. - **Microsoft Corporation:** Microsoft delivers cloud-based IoT platforms and AI tools for agriculture to empower farmers with data-driven insights, remote monitoring capabilities, and predictive maintenance solutions. Their Azure IoT suite and FarmBeats platform cater to the specific needs of the agriculture sector. - **John Deere:** John Deere integrates IoT technology into their agricultural machinery and equipment to enable precision farming practices, autonomous operations, and data-driven decision supportIoT in agriculture has emerged as a transformative technology revolutionizing traditional farming practices and driving efficiency, productivity, and sustainability in the agricultural sector. The market segmentation based on type into hardware, software, and services offers a comprehensive breakdown of the different components that constitute the IoT ecosystem in agriculture. Hardware components such as sensors, monitoring devices, drones, and GPS systems play a crucial role in collecting real-time data on environmental conditions, crop health, and livestock monitoring. Software platforms for data analysis, visualization tools, and farm management software enable farmers to make informed decisions based on actionable insights derived from the data collected by the hardware devices. Additionally, services such as consulting, integration, and support services facilitate the adoption and integration of IoT solutions into existing farming operations, ensuring a seamless transition towards smart agriculture practices.
The application segmentation of the IoT in agriculture market highlights the diverse use cases and benefits offered by IoT technology across different farming activities. Precision farming emerges as a prominent application area that leverages IoT solutions for crop monitoring, soil health assessment, and predictive analytics to optimize resource allocation, enhance crop yields, and drive sustainable farming practices. Other key applications such as livestock monitoring, smart greenhouses, irrigation systems, and inventory management further underscore the versatility and potential of IoT technology to address the evolving needs of modern agriculture.
The end-user segmentation of the IoT in agriculture market reflects the diverse stakeholders benefiting from the adoption of IoT solutions in the agricultural domain. Farmers, agricultural cooperatives, agribusinesses, and government bodies are increasingly incorporating IoT technology to streamline operations, improve decision-making processes, and achieve operational excellence. Farmers, in particular, are embracing IoT solutions to enhance productivity, reduce operational costs, and mitigate risks associated with climate change and other environmental challenges.
Market players such as IBM Corporation, Cisco Systems, Inc., Trimble Inc., Microsoft Corporation, and John Deere are at the forefront of driving innovation and shaping the future of IoT in agriculture. These companies offer a diverse range of IoT solutions tailored to the specific needs of**Global Internet of Things (IoT) in Agriculture Market Analysis**
The global Internet of Things (IoT) in agriculture market is witnessing significant growth driven by the increasing demand for sustainable farming practices, the need for optimized resource management, and the adoption of advanced technologies to enhance agricultural productivity. The market segmentation based on components, applications, and end-users provides a comprehensive overview of the diverse use cases and benefits offered by IoT technology in the agriculture sector.
**Segments:** - **Component:** The market segmentation based on components includes hardware, software, connectivity, and services. Hardware components such as sensors, monitoring devices, drones, GPS systems, and others play a crucial role in collecting real-time data for crop monitoring, soil health assessment, and livestock monitoring. Software platforms enable data analysis, visualization tools, and farm management software for informed decision-making. Connectivity solutions facilitate seamless communication between devices, while services including consulting and support services help in the integration and adoption of IoT solutions.
- **Application:** The application segmentation highlights the versatility of IoT technology in agriculture across various farming activities such as livestock monitoring, precision crop farming, indoor farming, aquaculture, integrated pest management, water supply management, and others. Precision farming stands out as a key application area leveraging IoT solutions for optimizing resource allocation, enhancing crop yields, and driving sustainable farming practices. Other applications like smart greenhouses, irrigation systems, and inventory management further underscore the potential of IoT technology in addressing the evolving needs of modern agriculture.
- **End-
The Internet of Things (IoT) in Agriculture Market competitive landscape provides details by the competitors. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, and application dominance.
Major Points Covered in TOC:
Internet of Things (IoT) in Agriculture Market Overview: It incorporates six sections, research scope, significant makers covered, market fragments by type, Internet of Things (IoT) in Agriculture Market portions by application, study goals, and years considered.
Internet of Things (IoT) in Agriculture Market Landscape: Here, the opposition in the Worldwide Internet of Things (IoT) in Agriculture Market is dissected, by value, income, deals, and piece of the pie by organization, market rate, cutthroat circumstances Landscape, and most recent patterns, consolidation, development, obtaining, and portions of the overall industry of top organizations.
Internet of Things (IoT) in Agriculture Profiles of Manufacturers: Here, driving players of the worldwide Internet of Things (IoT) in Agriculture Market are considered dependent on deals region, key items, net edge, income, cost, and creation.
Internet of Things (IoT) in Agriculture Market Status and Outlook by Region: In this segment, the report examines about net edge, deals, income, creation, portion of the overall industry, CAGR, and market size by locale. Here, the worldwide Internet of Things (IoT) in Agriculture Market is profoundly examined based on areas
Internet of Things (IoT) in Agriculture Application��or End User: This segment of the exploration study shows how extraordinary end-client/application sections add to the worldwide Internet of Things (IoT) in Agriculture Market.
Internet of Things (IoT) in Agriculture Market Forecast: Production Side: In this piece of the report, the creators have zeroed in on creation and creation esteem conjecture, key makers gauge, and creation and creation esteem estimate by type.
Keyword: Research Findings and Conclusion: This is one of the last segments of the report where the discoveries of the investigators and the finish of the exploration study are given.
What to Expect from the Report, a 7-Pointer Guide
The Internet of Things (IoT) in Agriculture Market report dives into the holistic Strategy and Innovation for this market ecosystem
The Internet of Things (IoT) in Agriculture Market report keenly isolates and upholds notable prominent market drivers and barriers
The Internet of Things (IoT) in Agriculture Market report sets clarity in identifying technological standardization as well as the regulatory
framework, besides significantly assessing various implementation models besides evaluation of numerous use cases
The Internet of Things (IoT) in Agriculture Market report is also a rich repository of crucial information across the industry, highlighting details on novel investments as well as stakeholders and relevant contributors and market participants.
A through market analytical survey and forecast references through the forecast tenure, encapsulating details on historical developments, concurrent events as well as future growth probability
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Discover the Future of IT with IBM
Ever wanted to unlock the power of IBM technologies but weren't sure where to start? Look no further! In this blog, we will dive into the world of IBM training, showing you how to master everything from IBM Cognos Analytics for data analysis to IBM Maximo for managing your assets.
Why Choose Ascendient Learning for IBM Training?
Ascendient Learning, a trusted IBM Global Training Provider, is a one-stop shop for all your IBM training needs. Here is what sets us apart:
Massive Course Selection: From IBM Cloud and IBM Watson to IBM Security and WebSphere, Ascendient Learning covers the entire IBM technology stack. Regardless of your expertise, Ascendient Learning has a course to fit your needs.
Flexible Learning Options: Learn at your own pace and on your own schedule. Ascendient Learning offers a variety of learning formats to suit different preferences and learning styles. Choose from self-paced online courses that you can access anytime, anywhere. Or, if you prefer a more traditional setting, attend in-person classes (depending on availability) and network with other learners and instructors.
Award-Winning Expertise: Our instructors are IBM-certified professionals with real-world experience, ensuring you get practical, applicable skills. You won't be lectured by someone who has just read a textbook. Ascendient Learning instructors know how to apply their knowledge to solve real-world problems.
Top-Notch Quality: Ascendient Learning has consistently won awards for quality scores, schedule availability, and student satisfaction. We are committed to providing a top-notch learning experience, and our track record speaks for itself. When you choose Ascendient Learning for your IBM training, you can be confident that you are investing in quality education that will help you achieve your goals.
Finding the Perfect Course for You
We categorize our courses to make finding what you need a breeze. Here are some popular categories to explore:
Analytics: Master data analysis with courses on Cognos Analytics, SPSS Statistics, and more. Become an expert at turning raw data into actionable insights.
Business Automation: Streamline your workflows with training on IBM Business Automation Workflow and Process Manager. Learn how to automate repetitive tasks, improve efficiency, and free up your team to focus on more strategic initiatives.
Cloud Pak: Learn about IBM Cloud Paks, pre-built software that helps you build and manage applications across any cloud. This is a perfect option if you are looking to embrace the flexibility and scalability of cloud computing.
Data Platform: Keep your data skills sharp with courses on InfoSphere DataStage and DB2.
Maximo: Become an expert in asset management with training on Maximo Asset Management, System Administration, and Development. Learn how to optimize the performance and lifespan of your physical assets, maximizing their return on investment.
Security: Protect your data with courses on QRadar and Security Access Manager. These courses will equip you with the skills you need to identify and mitigate security threats.
Watson & AI: Embrace the future of AI with training on the innovative IBM Watson platform. Learn how to leverage AI for tasks like natural language processing, machine learning, and data analysis.
More Than Just Courses
Ascendient Learning offers more than just training courses. We also provide valuable resources like free webinars, personalized learning paths, and certification support to help you succeed.
Your Future Starts Here
The future of IT is IBM. Don't miss out on the chance to be at the forefront of innovation. Enroll in an Ascendient Learning IBM training course today and start your journey toward a brighter future.
For more details, visit: https://www.ascendientlearning.com/it-training/ibm
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Ya está disponible ArcGIS Enterprise de Esri en Kubernetes integrado con IBM Maximo
Ya está disponible ArcGIS Enterprise de @Esri en Kubernetes integrado con IBM Maximo.
Para responder a la demanda de análisis espaciales avanzados y una mejor integración de datos en el software de gestión de activos, Esri, líder mundial en inteligencia de localización, anunciado hoy en la 44.a Conferencia Anual de Usuarios de Esri una colaboración ampliada con IBM. ArcGIS Enterprise en Kubernetes integrado con IBM Maximo Application Suite, el conjunto de aplicaciones para…
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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…

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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/
#IBM MAS#Migration from EAM#Migration from EAM Maximo Version 7.6#Migration from EAM to MAS#Pragma Edge
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The Evolution of IBM Maximo Application Suite: From Legacy System to AI-Powered EAM
IBM Maximo Application Suite has long been a trusted solution in Enterprise Asset Management (EAM). Since its launch in 1985, Maximo has set the standard for asset lifecycle management, helping businesses enhance productivity, streamline maintenance, and reduce operational costs. Over the decades, it has evolved from a robust on-premises platform into a modern, AI-powered, cloud-based solution that redefines asset management strategies. Upgrade IBM Maximo Application Suite to unlock its latest features and ensure your business stays ahead with cutting-edge technology and enhanced operational efficiency. This blog explores Maximo's transformation, from its early days to the advanced platform it is today, highlighting why upgrading to its current version is vital for future-ready businesses.
A Legacy Built on Reliability
Maximo began its remarkable journey in 1985, quickly earning a reputation for being highly reliable and robust. It served asset-intensive industries like oil and gas, utilities, and manufacturing by offering tools to manage physical assets efficiently. Features such as preventive maintenance, compliance tracking, and reducing downtime established Maximo as the go-to solution for companies aiming to manage resources smarter.
The foundation of Maximo was its ability to combine high availability and operational excellence. Over the years, it continued to innovate, growing its influence across industries while adapting to emerging technological trends.
From Then to Now: Key Advancements in Maximo
IBM has ensured that Maximo stays relevant in an era of rapid digital transformation. Key advancements in its evolution include:
Cloud Integration Transitioning from a traditional on-premises model to offering cloud-based deployments allowed Maximo users to benefit from reduced IT overhead, higher flexibility, and enhanced scalability.
Enhanced User Experience Over time, Maximo modernized its user interface to make it more intuitive and accessible for all roles, from field technicians to management teams.
Going Mobile Field technicians now use mobile applications to access Maximo anytime, anywhere. It has improved real-time updates and enabled swift, data-driven decisions.
IoT Capabilities IoT integration introduced real-time monitoring of assets. This made predictive maintenance more accurate, allowing businesses to preempt failures and reduce unnecessary costs.
AI & Analytics Artificial intelligence and analytics unlocked the power of data. Businesses now forecast maintenance needs, optimize asset usage, and gain actionable insights, empowering smarter operational strategies.
Industry-Focused Solutions By creating tailored modules, Maximo aligns seamlessly with the operational and regulatory demands of specific industries, further extending its applicability.
Data-Driven Decision Making
One of Maximo’s most game-changing contributions lies in its ability to leverage data for improved decision-making. By analyzing years of recorded data—from preventive maintenance schedules to cost comparisons—Maximo helps businesses optimize their workflows. Organizations can streamline inventories, reduce planned outages, and make financial adjustments with more confidence.
For example, its advanced analytics capabilities enable predictive maintenance based on recurring issues or usage patterns, directly enhancing productivity and asset longevity.
Preparing for the Future with MAS Version 9
With IBM set to end support for Maximo Asset Management version 7.6.1.x in September 2025, businesses need to plan their upgrade strategies now. The latest Maximo Application Suite (MAS) represents a significant shift, with upgraded architecture designed to support cutting-edge AI, IoT integrations, and multi-platform deployment.
Moving to MAS 9 is more than just a software update—it’s a giant leap toward scalable, future-proof asset management. Businesses updating to the latest version can harness advanced tools to sharpen their competitive edge while ensuring seamless adaptability in evolving industries.
Why Partner with LTIMindtree for Your Maximo Upgrade
Upgrading to MAS 9 can be complex, but with LTIMindtree’s expertise, the process becomes smooth and efficient. LTIMindtree’s Maxelerate platform is engineered to streamline Maximo upgrades, offering faster implementation at a lower cost. Additionally, as an IBM Platinum Partner, LTIMindtree provides access to privileged technical resources and product team support, ensuring seamless transitions.
By delivering tailored asset lifecycle solutions across industries, LTIMindtree positions your organization to reap the full benefits of its Maximo investment while aligning with broader digital transformation goals.
Final Thoughts
From its reliable beginnings to its advanced, AI-driven capabilities, IBM Maximo Application Suite stands as a leader in modern asset lifecycle management. With emerging technologies and extensive data integration, Maximo equips businesses with robust tools to enhance productivity, improve decision-making, and future-proof their operations.
Are You Ready to Make the Shift?
Ensure your asset management strategy stays ahead. Upgrade to Maximo Application Suite version 9 with LTIMindtree and explore the full potential of your assets. Contact us today to start your seamless transition to the future of asset management.
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IBM TRIRIGA Application Suite v11.6 Is Officially Available

TRIRIGA Application
V11.6
IBM has announced the release of TRIRIGA Applications v11.6, Platform v5.0, and CAD Integrator v14.0, together with the most recent version of the IBM TRIRIGA Application Suite (TAS), v11.6.
With the introduction of important enhancements intended to assist enterprises in further streamlining their real estate and facilities management processes, this version represents a noteworthy milestone for TAS. IBM ranked the areas that its customers and analysts thought would be most helpful for improving their business operations. As part of the Application Suite, IBM Maximo Monitor for workplace analytics and monitoring features is being introduced. Teams can now see real-time occupancy, energy, environmental, and facility asset data with this new AI-powered monitoring feature, which will help them make informed decisions and take action to maximize their property portfolios.
Esri ArcGIS
TRIRIGA Location Service for Esri is another significant addition to the Application Suite. Customers may now directly license Esri ArcGIS on Kubernetes from IBM, allowing GIS visualization and TRIRIGA experiences. Through the ability to search for and explore buildings, indoor mapping and navigation give employees and visitors more tools to enhance the occupant experience. Facility managers can view and interact with portfolio data on a map using outdoor GIS, enabling perceptive visual analysis.
Additional notable improvements to TAS include the following new lease accounting features:
Situations with Negative Asset Value
For scenarios involving prepaid rent, the Net Lease Liability Roll Forward Report
Journal Entries to Make Retrospective Adjustments
RE Invoice Creation Form Redesign for AR and AP Leases
IBR% Changes and Lease Documents in Bulk Upload
By exporting space plan scenarios to PDF for evaluation with important stakeholders, new dynamic space planner functionalities offer improvements to cooperation. Space planners can visualize scenario modifications before they are implemented by connecting to the Stacking App.
Users may work more productively with improvements to the Work Task Services App’s user experience, such as inventory monitoring capabilities and the option to view reservation owner details in the Reservation App to arrange a room change
v11.6 of the TRIRIGA Application Suite represents a substantial improvement when all of these new features and capabilities are combined. Contact your IBM Business Partner to arrange a discussion about TRIRIGA and v11.6.
TRIRIGA Application Platform
Organizations may quickly configure apps and increase the use and value of IBM TRIRIGA applications by utilizing the graphical and configuration tools provided by the IBM TRIRIGA Application Platform solution. Key business systems are interoperable through the use of standards-based technologies, interfaces, and a high-performance workflow process engine.
For quick transaction processing, there is a runtime environment called the IBM TRIRIGA Application Platform. The Administrator Console, Document Manager, IBM TRIRIGA Connector for Business programs enabling system integration, and linkage to computer-aided design (CAD) programs are all part of the platform, which also supplies the underlying technology for the IBM TRIRIGA apps. Additionally, a suite of browser-based tools for creating and modifying the applications that IBM TRIRIGA delivers is provided via the IBM TRIRIGA Application Platform.
For the purpose of creating UX apps, the IBM TRIRIGA Application Platform offers an MVC-based UX framework. The program is divided into three parts or layers using the model-view-controller (MVC) technique: the model, view, and controller. The Polymer collection of reusable web components serves as the foundation for the view layer. The UX framework’s adaptable and modular architecture makes it easier for businesses to meet business objectives while offering a touch-friendly interface, enhanced performance, and an intuitive user interface.
Using the all-inclusive IBM TRIRIGA solution, you can:
Set up IBM TRIRIGA programs without modifying the original code.
Produce regulatory reports in the same setting as regular business tasks.
Cut down on IBM TRIRIGA application implementation and maintenance time and expenses.
Provide applications using reliable portals.
Upgrade your applications to safeguard special configurations.
Change an existing business object and its associated workflows, lifecycle states, and data field definitions.
TRIRIGA Application Suite
What is TRIRIGA application?
TRIRIGA is an IWMS (Integrated Workplace Management System) designed to assist teams in charge of facilities and enterprise real estate in managing assets and portfolios over the course of their lives.
Streamline your facilities and real estate management processes
For most major firms, real estate represents the second-largest financial burden. Businesses are quickly moving toward centralized structures due to a changing operational environment. Enterprise-grade solutions are needed for this in order to save costs and improve responsiveness and efficiency.
Enhancing operational effectiveness requires having access to data from a single source of truth throughout the real estate lifecycle. IBM TRIRIGA provides a comprehensive suite of natively integrated Integrated Workplace Management Systems (IWMS) from a reputable brand that leads the market in functionality, security, and configurability.
TRIRIGA is a fast, flexible, and all-inclusive platform that offers all the applications needed to optimize facility lifecycle performance and get you ready for future requirements.
Read more on govindhtech.com
#IBMTRIRIGAApplication#Suitev116#TRIRIGAApplication#IBMMaximo#IBMTRIRIGAApplicationSuite#TAS#TRIRIGAApplicationPlatform#ibm#IBMTRIRIGA#managementprocesses#technology#technews#news#govindhtech
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ERP Software Market Size, Share, Analysis, Forecast, and Growth 2032: Increasing Investments in Digital Infrastructure
The Enterprise Resource Planning Software Market was valued at USD 62.49 billion in 2023 and is expected to reach USD 175.63 billion by 2032, growing at a CAGR of 12.23% from 2024-2032.
Enterprise Resource Planning Software Market is witnessing a significant transformation as companies prioritize operational efficiency and data-driven decision-making. Organizations across industries are turning to ERP solutions to unify processes, streamline workflows, and gain a competitive edge. This trend is particularly strong in the USA and Europe, where digital maturity and cloud adoption drive ERP upgrades and integration efforts.
ERP Software Market Trends and Regional Demand Forecast in the United States
Enterprise Resource Planning Software Market is evolving rapidly with the rise of cloud-native platforms, real-time analytics, and AI-powered automation. Businesses are embracing ERP to move beyond legacy systems and build agile, scalable, and responsive operations. From manufacturing to retail, ERP is no longer just a backend tool—it's becoming central to business strategy.
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Market Keyplayers:
Epicor Software Corporation (Epicor ERP, Prophet 21)
Hewlett-Packard Development Company, L.P (HP Adaptive Management, HP Project Portfolio Management)
Infor Inc. (Infor CloudSuite, Infor M3)
IBM Corporation (IBM Cognos Analytics, IBM Maximo)
Microsoft Corporation (Microsoft Dynamics 365, Microsoft Power BI)
NetSuite Inc. (NetSuite ERP, NetSuite CRM+)
Oracle Corporation (Oracle NetSuite, Oracle Fusion Cloud ERP)
Sage Group plc (Sage Intacct, Sage 300cloud)
SAP SE (SAP S/4HANA, SAP Business ByDesign)
Unit4 (Unit4 ERP, Unit4 Financial Planning & Analysis)
Workday Inc. (Workday Financial Management, Workday Human Capital Management)
Deltek (Deltek Costpoint, Deltek Vantagepoint)
QAD Inc. (QAD Adaptive ERP, QAD Cloud ERP)
IFS AB (IFS Cloud, IFS Applications)
Acumatica (Acumatica Cloud ERP, Acumatica Construction Edition)
Syspro (SYSPRO ERP, SYSPRO Avanti)
Tally Solutions Pvt Ltd (TallyPrime, Tally ERP 9)
Odoo SA (Odoo ERP, Odoo CRM)
Priority Software (Priority ERP, Priority Zoom)
Ramco Systems (Ramco ERP Suite, Ramco Global Payroll)
abas Software GmbH (abas ERP, abas Distribution)
Plex Systems Inc. (Plex Smart Manufacturing Platform, Plex ERP)
Market Analysis
The ERP Software Market is expanding due to a growing need for centralized platforms that can handle complex business functions including finance, supply chain, HR, and customer relationship management. Modern ERP systems offer integration across departments, improving visibility, compliance, and decision-making. The USA leads the market with high enterprise adoption and cloud investments, while Europe’s regulatory standards and focus on data security influence ERP customization and deployment strategies.
Market Trends
Shift from on-premise to cloud-based ERP platforms
AI and machine learning for real-time analytics and forecasting
Integration with IoT and edge computing for manufacturing and logistics
Mobile-first ERP interfaces for on-the-go access
Industry-specific ERP modules gaining traction
Enhanced cybersecurity features to protect sensitive data
Growing demand for subscription-based ERP models (SaaS)
Market Scope
The ERP Software Market offers broad potential as organizations scale and diversify operations. Cloud deployment, automation, and flexibility are key drivers shaping its growth trajectory.
All-in-one business process integration
Customizable modules tailored to industry needs
Scalable architecture for SMEs and large enterprises
Streamlined compliance and audit trails
AI-assisted planning and inventory management
Unified customer and supplier management systems
Real-time KPIs and performance dashboards
Forecast Outlook
The future of the ERP Software Market lies in intelligent, agile platforms that drive efficiency and innovation. As more businesses transition to cloud infrastructure, ERP will serve as a digital backbone—enabling faster adaptation, seamless collaboration, and data transparency. The emphasis will shift toward user-friendly, mobile-accessible, and AI-enhanced ERP solutions. Both the USA and Europe will continue to lead in innovation, driven by strong enterprise demand and regulatory environments that push for smarter, more secure systems.
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Conclusion
The evolution of ERP is no longer about replacing legacy systems—it's about redefining how businesses operate in a connected, data-centric world. From Berlin to Boston, companies are leveraging ERP not just as software but as a strategic enabler of agility and growth.
Related Reports:
Analyze the growth of Trade Management Software within the US industry landscape
Discover leading collaboration tools for teams across America
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)
#ERP Software Market#ERP Software Market Scope#ERP Software Market Share#ERP Software Market Growth#ERP Software Market Trends
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Internet of Things (IoT) in Agriculture Market Size, Share, Key Growth Drivers, Trends, Challenges and Competitive Landscape
"Global Internet of Things (IoT) in Agriculture Market - Size, Share, Demand, Industry Trends and Opportunities
Global Internet of Things (IoT) in Agriculture Market, By Component (Hardware, Software, Connectivity and Services), Application (Livestock Monitoring, Precision Crop Farming, Indoor Farming, Aquaculture, Integrated Pest Management, Water Supply Management, Others), Type (Small Farms, Mid-Sized, Large), Farm Production Planning Stage (Pre-Production Planning, Production Planning, Post-Production Planning), System (Sensing and Monitoring System, Automation and Control System, and Others) – Industry Trends.
Access Full 350 Pages PDF Report @
**Segments**
- **Type:** The IoT in agriculture market can be segmented based on type into hardware, software, and services. Hardware includes sensors, monitoring devices, GPS systems, drones, and others. Software involves platforms for data analysis, visualization tools, and farm management software. Services encompass consulting, integration, and support services. - **Application:** In terms of application, the market can be categorized into precision farming, livestock monitoring, smart greenhouses, irrigation systems, inventory management, and others. Precision farming is a key application area that utilizes IoT technology for crop monitoring, soil health assessment, and predictive analytics. - **End-User:** The end-user segmentation of the IoT in agriculture market includes farmers, agricultural cooperatives, agribusinesses, and government bodies. Farmers are adopting IoT solutions to optimize resource utilization, enhance productivity, and ensure sustainability in their agricultural practices.
**Market Players**
- **IBM Corporation:** IBM offers IoT solutions for agriculture that focus on data-driven insights, predictive analytics, and smart farming practices. Their offerings include Watson Decision Platform for Agriculture and IBM Maximo Agricultural Insights. - **Cisco Systems, Inc.:** Cisco provides networking infrastructure and IoT solutions for agriculture to enable connectivity, automation, and real-time monitoring in farm operations. Their solutions help in improving crop yields, reducing downtime, and enhancing decision-making processes. - **Trimble Inc.:** Trimble specializes in precision agriculture technology and offers IoT solutions for farmers to manage field activities, monitor crop health, and optimize resource usage. Their offerings include precision farming hardware, software, and guidance systems. - **Microsoft Corporation:** Microsoft delivers cloud-based IoT platforms and AI tools for agriculture to empower farmers with data-driven insights, remote monitoring capabilities, and predictive maintenance solutions. Their Azure IoT suite and FarmBeats platform cater to the specific needs of the agriculture sector. - **John Deere:** John Deere integrates IoT technology into their agricultural machinery and equipment to enable precision farming practices, autonomous operations, and data-driven decision supportIoT in agriculture has emerged as a transformative technology revolutionizing traditional farming practices and driving efficiency, productivity, and sustainability in the agricultural sector. The market segmentation based on type into hardware, software, and services offers a comprehensive breakdown of the different components that constitute the IoT ecosystem in agriculture. Hardware components such as sensors, monitoring devices, drones, and GPS systems play a crucial role in collecting real-time data on environmental conditions, crop health, and livestock monitoring. Software platforms for data analysis, visualization tools, and farm management software enable farmers to make informed decisions based on actionable insights derived from the data collected by the hardware devices. Additionally, services such as consulting, integration, and support services facilitate the adoption and integration of IoT solutions into existing farming operations, ensuring a seamless transition towards smart agriculture practices.
The application segmentation of the IoT in agriculture market highlights the diverse use cases and benefits offered by IoT technology across different farming activities. Precision farming emerges as a prominent application area that leverages IoT solutions for crop monitoring, soil health assessment, and predictive analytics to optimize resource allocation, enhance crop yields, and drive sustainable farming practices. Other key applications such as livestock monitoring, smart greenhouses, irrigation systems, and inventory management further underscore the versatility and potential of IoT technology to address the evolving needs of modern agriculture.
The end-user segmentation of the IoT in agriculture market reflects the diverse stakeholders benefiting from the adoption of IoT solutions in the agricultural domain. Farmers, agricultural cooperatives, agribusinesses, and government bodies are increasingly incorporating IoT technology to streamline operations, improve decision-making processes, and achieve operational excellence. Farmers, in particular, are embracing IoT solutions to enhance productivity, reduce operational costs, and mitigate risks associated with climate change and other environmental challenges.
Market players such as IBM Corporation, Cisco Systems, Inc., Trimble Inc., Microsoft Corporation, and John Deere are at the forefront of driving innovation and shaping the future of IoT in agriculture. These companies offer a diverse range of IoT solutions tailored to the specific needs of**Global Internet of Things (IoT) in Agriculture Market Analysis**
The global Internet of Things (IoT) in agriculture market is witnessing significant growth driven by the increasing demand for sustainable farming practices, the need for optimized resource management, and the adoption of advanced technologies to enhance agricultural productivity. The market segmentation based on components, applications, and end-users provides a comprehensive overview of the diverse use cases and benefits offered by IoT technology in the agriculture sector.
**Segments:** - **Component:** The market segmentation based on components includes hardware, software, connectivity, and services. Hardware components such as sensors, monitoring devices, drones, GPS systems, and others play a crucial role in collecting real-time data for crop monitoring, soil health assessment, and livestock monitoring. Software platforms enable data analysis, visualization tools, and farm management software for informed decision-making. Connectivity solutions facilitate seamless communication between devices, while services including consulting and support services help in the integration and adoption of IoT solutions.
- **Application:** The application segmentation highlights the versatility of IoT technology in agriculture across various farming activities such as livestock monitoring, precision crop farming, indoor farming, aquaculture, integrated pest management, water supply management, and others. Precision farming stands out as a key application area leveraging IoT solutions for optimizing resource allocation, enhancing crop yields, and driving sustainable farming practices. Other applications like smart greenhouses, irrigation systems, and inventory management further underscore the potential of IoT technology in addressing the evolving needs of modern agriculture.
- **End-
The Internet of Things (IoT) in Agriculture Market competitive landscape provides details by the competitors. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, and application dominance.
Major Points Covered in TOC:
Internet of Things (IoT) in Agriculture Market Overview: It incorporates six sections, research scope, significant makers covered, market fragments by type, Internet of Things (IoT) in Agriculture Market portions by application, study goals, and years considered.
Internet of Things (IoT) in Agriculture Market Landscape: Here, the opposition in the Worldwide Internet of Things (IoT) in Agriculture Market is dissected, by value, income, deals, and piece of the pie by organization, market rate, cutthroat circumstances Landscape, and most recent patterns, consolidation, development, obtaining, and portions of the overall industry of top organizations.
Internet of Things (IoT) in Agriculture Profiles of Manufacturers: Here, driving players of the worldwide Internet of Things (IoT) in Agriculture Market are considered dependent on deals region, key items, net edge, income, cost, and creation.
Internet of Things (IoT) in Agriculture Market Status and Outlook by Region: In this segment, the report examines about net edge, deals, income, creation, portion of the overall industry, CAGR, and market size by locale. Here, the worldwide Internet of Things (IoT) in Agriculture Market is profoundly examined based on areas
Internet of Things (IoT) in Agriculture Application or End User: This segment of the exploration study shows how extraordinary end-client/application sections add to the worldwide Internet of Things (IoT) in Agriculture Market.
Internet of Things (IoT) in Agriculture Market Forecast: Production Side: In this piece of the report, the creators have zeroed in on creation and creation esteem conjecture, key makers gauge, and creation and creation esteem estimate by type.
Keyword: Research Findings and Conclusion: This is one of the last segments of the report where the discoveries of the investigators and the finish of the exploration study are given.
What to Expect from the Report, a 7-Pointer Guide
The Internet of Things (IoT) in Agriculture Market report dives into the holistic Strategy and Innovation for this market ecosystem
The Internet of Things (IoT) in Agriculture Market report keenly isolates and upholds notable prominent market drivers and barriers
The Internet of Things (IoT) in Agriculture Market report sets clarity in identifying technological standardization as well as the regulatory
framework, besides significantly assessing various implementation models besides evaluation of numerous use cases
The Internet of Things (IoT) in Agriculture Market report is also a rich repository of crucial information across the industry, highlighting details on novel investments as well as stakeholders and relevant contributors and market participants.
A through market analytical survey and forecast references through the forecast tenure, encapsulating details on historical developments, concurrent events as well as future growth probability
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Smart Enterprise Market Global Landscape: Opportunities and Market Share Analysis 2032
The Smart Enterprise Market was valued at USD 0.32 billion in 2023 and is expected to reach USD 0.99 billion by 2032, growing at a CAGR of 13.44% from 2024-2032
Smart Enterprise Market is experiencing rapid expansion, driven by digital transformation, automation, and artificial intelligence. Businesses across industries are adopting smart technologies to enhance efficiency, agility, and customer experiences. With increasing reliance on data-driven decision-making, enterprises are investing in cloud computing, IoT, and AI-powered solutions.
Smart Enterprise Market continues to evolve as organizations integrate advanced technologies into their operations. From automation to predictive analytics, businesses are leveraging smart enterprise solutions to optimize processes and improve productivity. As digital ecosystems grow, companies are focusing on seamless connectivity, cybersecurity, and AI-driven insights to stay competitive in a fast-changing landscape.
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Market Keyplayers:
Microsoft (Azure IoT, Power BI)
Cisco Systems (Cisco IoT, Industrial Network Switches)
Oracle (Oracle IoT Cloud, Oracle Autonomous Database)
SAP (SAP Leonardo, SAP S/4HANA)
Honeywell Process Solutions (Experion, Honeywell UOP)
Hitachi Vantara (Lumada, Hitachi Visualization Suite)
Mitsubishi Electric (MELSEC iQ-R, EcoMonitor)
Dell Technologies (IoT Solutions, VxRail)
Toshiba (Toshiba Smart City Solutions, Toshiba IoT Solutions)
Intel (Intel IoT Platform, Intel Xeon Scalable Processors)
ABB Ltd. (ABB Ability, Smart Grids)
Siemens (MindSphere, Industrial Automation)
General Electric (Predix, Digital Wind Farm)
Rockwell Automation Inc. (FactoryTalk, Allen-Bradley)
Schneider Electric (EcoStruxure, APC by Schneider Electric)
Honeywell International Inc. (Honeywell Forge, Building Management Systems)
Emerson Electric Co. (Plantweb, Ovation)
Fanuc UK Limited (Robodrill, Robocut)
Fujitsu Global (Fujitsu Digital Annealer, SPARC Servers)
IBM (IBM Watson IoT, IBM Maximo)
Market Trends Driving Growth
AI and Automation Adoption – Businesses are integrating AI-powered automation to streamline workflows, enhance decision-making, and reduce operational costs.
Cloud and IoT Integration – Cloud computing and IoT are enabling seamless data exchange, real-time monitoring, and remote business operations.
Cybersecurity and Data Protection – Enterprises are prioritizing cybersecurity investments to safeguard sensitive data and prevent cyber threats.
Personalized Customer Experiences – AI-driven analytics and automation are helping businesses tailor customer interactions, improving engagement and satisfaction.
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Market Segmentation:
By Component
Hardware
Software
Services
By Technology
MES
PLC
ERP
SCADA
HMI
Others
By Organization Size
Small and Medium Size Enterprise
Large Enterprise
By Application
Automotive
Chemicals & Materials
Healthcare
Food & Beverage
Consumer Goods
Aerospace & Defense
Market Analysis and Current Landscape
Key factors contributing to market expansion include:
Growing Demand for AI and Big Data – Enterprises are leveraging AI and big data analytics for strategic decision-making and predictive insights.
Hybrid and Remote Work Growth – Organizations are adopting smart workplace solutions to support remote teams and improve digital collaboration.
Rising Investments in Digital Transformation – Companies are accelerating digital adoption to enhance operational efficiency and stay ahead of competitors.
Increased Focus on Sustainability – Businesses are implementing smart energy management solutions to optimize resource usage and reduce carbon footprints.
Despite the strong growth trajectory, challenges such as integration complexities, high implementation costs, and data privacy concerns remain. However, continuous advancements in AI, automation, and cybersecurity are addressing these challenges, ensuring steady market expansion.
Future Prospects: What Lies Ahead?
AI-Driven Business Intelligence – AI and machine learning will play a crucial role in predictive analytics, enabling businesses to make data-driven decisions with greater accuracy.
Expansion of Smart Workspaces – Companies will invest in smart office technologies, including IoT-powered automation, virtual collaboration tools, and intelligent workflow systems.
5G and Edge Computing Growth – The adoption of 5G and edge computing will enhance connectivity, speed up data processing, and improve real-time decision-making.
Blockchain for Secure Transactions – Blockchain technology will be increasingly integrated into enterprise solutions to enhance security, transparency, and efficiency in business operations.
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Conclusion
The Smart Enterprise Market is on an upward trajectory, revolutionizing the way businesses operate through AI, automation, cloud computing, and IoT. As companies continue to invest in digital transformation, smart technologies will drive efficiency, security, and innovation across industries. Businesses that embrace these advancements will gain a competitive edge, positioning themselves for long-term success in an increasingly digital world.
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IBM Maximo Traning
IBM Maximo Training is an enterprise asset management software developed by Project Software & Development Inc (PSDI) in 1985. IBM later purchased it in 2005. Hence, it got the name IBM Maximo asset management.
IBM Maximo asset management is a workflow process management system and an asset management life cycle. It manages the asset operation and the business process. It can also be integrated with the existing applications.
IBM Maximo asset management is a single software platform that helps to manage all of your asset types. It is an integrated database and productivity tool that is built on software-oriented architecture (SOA). It provides optimal planning, audit, control, and compliance capability to deliver a comprehensive view of all asset types and the work process that supports them, their locations and conditions. It also provides critical information about asset resources. It includes vital attributes and they are contributing and their logical and physical relationships to other resources.
Features of IBM Maximo:
· Custom, streamline and integrate - Can customize the software as per their customer's requirements. It can also combine it with the existing applications. It provides insights into all enterprises assets, their conditions and work processes for better planning and control.
· Choose application server and database - It uses multiple software servers. Can install it on servers with the same computers or a different server. System requirements can depend on the operating system, site configuration and database platform.
· Select standard or custom reports - IBM Maximo asset management tool is embedded with Business intelligence and reporting tools (BIRT). It has standard reports covering many applications and includes analysis, hierarchical, detail and drills down pieces. It can be customized to the BIRT reports or develop new accounts to suits the business needs.
IBM Maximo asset management is highly customized for both the user interface. It can be adapted to suit the business requirement. Can make the changes to meet the specific business needs. The application designer uses a graphical user interface to configure applications without editing a line of code.
The new version of IBM Maximo, i.e., IBM Maximo asset management 7.6, helps an organization achieve greater efficiency in asset management through integration, installations, usability and business intelligence. It focuses on improving supply chain management by lowering the cost of ownership and implementation. As a result, It increases return on investment and enhances user integration.
Course Content
IBM Maximo Asset Management Overview
· Asset management
· Framework overview
· Business requirements overview
Core data setup and configuration
· Data setup overview
· Entering and configuring organizations and sites
· Defining and organizing the classification hierarchy
· Defining and entering locations and location hierarchies
· Entering and registering labor and users
Item and asset planning and setup
· Item and asset setup overview
· Defining and setting up item and asset configurations
· Entering assets
Inventory and purchasing
· Inventory setup and usage
· Purchasing process and setup
· Requisitioning
· Purchase orders
· Receiving
· Invoicing
Work Management
· Work management process and setup overview
· Setting up job plan templates
· Setting up scheduled or routine maintenance activities
· Creating and generating tickets and work orders
· Planning work
· Scheduling work
· Assigning and dispatching work
· Work completion and reporting
Some companies that used IBM Maximo asset management are Ashok Leyland, Momentive, Tech Mahindra, Kellogg's, Bestseller, TCS, PWC, NTT Data, HP, SABIC, TSPL, Lamprell, ESSAR, KPMG, ATOS, Neovia and many more.
Nisa's IBM Maximo corporate training introduces you to the fundamental concepts and setup configuration of various business areas supported by Maximo. Lectures, demonstrations, labs covering multiple applications, processes and interrelationships are some of the activities included in IBM Maximo. Nisa's IBM Maximo online course training is designed to define how Maximo's modules and applications will help you reach your organizational goals. In addition, Maximo online course also discusses all aspects of Maximo's job management process such as identification, scheduling, assignment, planning and execution, completion, along with joint day-to-day procurement and materials management processes.
On completion of Nisa's IBM Maximo 7.6 training, you will be able to:
· Develop workflows, escalations, and reports
· Query and retrieve data
· Describe the asset management life cycle
· Learn about modifying error logging and system properties
· Enter core data elements and data structures
· Modify application server and its services
· Describe options that are available for various applications
· Describe and use the different Maximo applications and functions as they relate to business processes
Nisa's IBM Maximo online training encourages students to make informed business strategies with design and planning their implementation. And we will also address the implementation and configuration aspects of the application as they pertain to integrations, documentation and business processes. On the other hand, you will also have the opportunity to work on two real-time projects under the supervision of professional trainers during training. As a result, it will help you build the skills required to operate, manage and dispose of the company's assets using IBM Maximo. In other words, students get a clear idea on which base to develop their product knowledge and skill set. On completion of this course, Maximo training certification is also provided. Students will also be given hands-on training using IBM Maximo software. Nisa's IBM Maximo training study material, long with recorded videos, will be provided for their reference. Enrol yourself and get placed in your dream company.
For More information about IBM Maximo, Online training, feel free to reach us.
Name: Albert
Email: [email protected]
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