The use of AoT aids government and defense vertical around the world to fulfill its responsibilities, including public safety, defense, social programs, national intelligence, and cyber security, to protect the citizens. The government and defense services aim to use data, software algorithms, and electronics hardware to predict future scenarios based on the historical and real-time data. AoT is utilized by government and defense services to exploit patterns in data to identify risks and opportunities, increase efficiency and speed, enhance decision-making, and save time, money, and other resources.
Governments across the world are exploring the ways to make use of increased connectivity being driven by IoT for enhancing citizen lives. For instance, IoT analytics is playing a crucial role in traffic management, lighting management, public safety, and environmental monitoring in this era of connected cities. In today’s environment, the city planners can track people’s activities, their location, services they are adopting, and their actions via location-based data. Thus, AoT revolution is picking up speed to change the overall dimensions of citizen’s life of how they live, travel, work, entertain, and more. Furthermore, vendors providing AoT software focus more on the government and defense vertical, which further fuels the growth of the AoT market in this vertical. During the forecast period, AoT is expected to be beneficial for security and emergency management, IT infrastructure management, and energy management applications.

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EVALUATION CRITERIA

Below criteria are most commonly used for comparing Analytics of Things Solutions tools.
  • Product Features and Functionality
    • Type of Data
      • Activity Data
      • Operations Log Data
      • Demographic Data
      • Weather Data
      • Behavioral Data / Psychographic Data
      • External / Purchased Data
    • Data Processing Techniques
      • Batch Data Processing
      • Real-Time Streaming Data Processing (Data-in-Motion)
    • Data Processing Features
      • Data Warehousing
      • Data Stream Processing
      • Data Storage and Scale
      • Query Platforms
      • Data Latency
      • In-Memory Analytics
      • Complex Event Processing
    • Data Presentation Features
      • Data Visualization
      • Visualization on Mobile Devices
      • Robust Reporting
      • Customizable Dashboard
      • Charts and Graphs
      • Any Other Data Presentation Features
    • Data Preparation Features
      • Data Quality
      • Master Data Management (MDM)
      • Data Profiling
      • Protocols for Data Collection (such as LAN, DNP3, SCADA, etc.)
      • Data Virtualization
    • Data Formats
      • Text
      • Video
      • Image
      • Speech/Audio
      • Location
    • Data Coverage
      • Structured Data
      • Semi-Structured Data
      • Unstructured Data
    • Data Analysis Technology and Methods
      • Machine Learning/AI
      • Natural Language Processing (NLP)
      • Anomaly Detection Technology
      • Root Cause Analysis
      • Event Detection
      • Basic Statistics
      • Advanced Condition Prediction
    • Data Analysis Techniques
      • Descriptive Analytics
      • Predictive Analytics
      • Diagnostics Analytics
      • Prescriptive Analytics
  • Breadth and Depth of Product Offerings
    • Products / Solutions Offered
    • Product Variants
    • Type of Integration
      • Programming Language (such as R, Python, Java)
      • Microsoft Corporation Office (including Spreadsheet)
      • Servers (such as Hadoop, Apache)
      • Databases
      • Any other Integration type
    • Services Offered
      • Support & Maintenance
      • Education & Training
      • Technology Consulting
      • Managed Services
      • Deployment & Integration Services
      • Analytics Consulting / Business Intelligence Services
      • Security Services
      • Other Services
  • Delivery
    • Preferred Mode of Delivery
      • Subscription / Licensing
      • Full Time Equivalent
      • Per User Basis
    • Mode of Delivery
      • Directly
      • Through Partners / Third-Party Vendors / MSSPs
    • End-Users
      • Data Scientists
      • Business Analysts
      • Application Developers
      • Consultants
      • Other End-Users
    • Deployment Mode
      • On-Premise
      • Hosted / On-Cloud
  • Business Applications
    • Use Cases
      • Asset Condition Monitoring
      • Predictive Maintenance and Asset Management
      • Anomaly Detection
      • Performance Management and Optimization
      • Early Fault Warning and Prevention
      • Health and Safety Monitoring
      • Abuse and Malfeasance Identification
      • Risk Analysis and Management
      • Outage Management
      • Fraud Detection/Management
      • Demand/Supply Optimization
      • Predictive Marketing
      • Customer Engagement
      • Remote Monitoring
      • Others, please specify
    • Business Functions
      • Sales
      • Marketing
      • Finance
      • Operations/Production
      • Human Resources (HR)
      • Supply Chain
      • Product Development
      • Customer Service
    • Applications
      • Smart Energy/Smart Grid and Metering
      • Building and Home Automation
      • Smart Manufacturing
      • Connected Logistics
      • Smart Retail
      • Smart Mobility and Transport/Connected Car
      • Connected Health
      • Smart Environment
      • Security and Emergencies
  • Support and Services
    • Level of Support
    • Customer Redressal Mechanism/Program
    • Support Services
      • Technical Support
      • Sales Support
      • Customer Support
      • Any other Support Services
    • Pre-Sales Support
      • Software Requirement Specification (SRS)
      • Proof of Concept
      • Product Demos
      • Dedicated Account Manager (DAM)
    • Medium of Delivery of Support Services
      • Remote Support
      • On-Site Support

TOP VENDORS

  • #

    AGT provides a complete suite of professional services, especially for oil & gas customers to fulfill the operational requirements of the customer.

    • Startup
    • Zurich, Zurich, Switzerland
    • Founded: 2007
    • 1 to 50
  • #

    AWS customers are privileged to use AWS IoT with the help of AWS Management Console, Software Development Kits (SDK), and AWS Command Line Interface.

    • Enterprise
    • Seattle, WA, US
    • Founded: 2006
    • $10BN to $50BN
    • 10,001 to 15,000
  • #

    Cisco offers Connected Streaming Analytics (CSA) platform, Cisco IOx APIs, Cisco Fog Data Services, and Cisco Edge Analytics Fabric as a part of its AoT offerings. The Cisco CSA offers predictive, actionable insights, which are collected through high-velocity streams of live data generated from numerous sources, such as sensors and from the edge of the devices, to facilitate real-time governance and by which immediate actions can be taken. Cisco CSA for IoT caters to various industry verticals including retail, IT, network deployment, mobility, and contact centers. In retail, customers can track in-store patterns and study consumer’s shopping patterns and buying behavior so that they are well equipped with the inventory and can also enhance the user’s experience. Cisco Edge Analytics Fabric provides flexibility to the enterprises to collect, process, and analyze the data from where it is generated at the edge of the devices.

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    • Enterprise
    • California, USA
    • Founded: 1984
    • $10BN to $50BN
    • 50,001 to 75,000
  • #

    Ericsson provides its analytics of things solution through User & IoT Analytics solutions.

    • Enterprise
    • Stockholm, Sweden
    • Founded: 1876
    • $10BN to $50BN
    • 1,00,001 to 5,00,000
  • #

    platform is capable of providing advanced analytics, AI, simulation tools, data integration, and orchestration of data.

    • Enterprise
    • Tokyo, Japan
    • Founded: 1920
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • #

    Offers iWay Big Data Integrator that is instrumental in cleaning, enriching, and managing the data.

    • SME
    • New York, US
    • Founded: 1975
    • $101MN to $500MN
    • 1,001 to 5,000
  • #

    Oracle provides an IoT platform to develop new IoT services quickly, using Oracle’s portfolio of products. This enables organizations to handle growing volumes of data, streamline application development and deployment, automate integration of data, and protect the data across the entire IoT value chain. Oracle provides a variety of IoT analytics solutions, including Oracle IoT Cloud – Platform as a Service (PaaS) and Oracle IoT applications with built-in analytics for Key Performance Indicators (KPIs), anomaly detection, comparative analytics, and predictive analytics. Oracle also provides an IoT cloud service which is a secure and scalable platform to quickly build and deploy IoT applications, and capture and analyze IoT data.

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    • Enterprise
    • California, USA
    • Founded: 1977
    • $10BN to $50BN
    • 1,00,001 to 5,00,000
  • #

    Offers real-time event processing that is capable of turning data sources into realtime actions.

    • Enterprise
    • California, US
    • Founded: 1999
    • $5BN to $10BN
    • 30,001 to 35,000
  • #

    SAP offers IoT analytics solutions through the SAP HANA Cloud platform. SAP HANA is being widely accepted by various industry verticals as it can be integrated not only with the social media module in custom Customer Relationship Management (CRM) but also with R and Hadoop to store, pre-process, analyze, and compute data in real-time analysis. The platform helps analyze data from machines, streaming events, and business operations and allows frontline workers to make use of real-time analytics to maintain productivity. The business applications supported by SAP include SAP fraud management and embedded predictive algorithms by which analysts can monitor, investigate, and automate business processes in real time.

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    • Enterprise
    • Walldorf, Germany
    • Founded: 1972
    • More than $100 BN
    • 501 to 1,000
  • #

    Software AG enhanced its streaming analytics portfolio Apama with the addition of predictive analytics and IoT standards to its platform.

    • Enterprise
    • Hessen, Germany
    • Founded: 1969
    • 1,001 to 5,000
  • #

    Offers data processing techniques for both data in motion (real-time streaming data) as well as on historic data collection.

    • Enterprise
    • California, US
    • Founded: 2003
    • $500MN to $1BN
    • 1,001 to 5,000
  • #

    combines text path, machine learning, pattern, graph, and statistics within a single workflow application.

    • Enterprise
    • California, US
    • Founded: 1979
    • $1BN to $5BN
    • 10,001 to 15,000

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