Transportation and logistics companies are witnessing financial crisis with increasing fuel costs. The industry players are looking for ways to optimize their services, remain competitive, and efficient. To optimize services, trains, planes, and automobiles are equipped with sensors. The data from these devices can be exploited to gain useful insights which in turn will improve the overall efficiency of the industry. AoT provides real-time analytics on the data generated from the sensors. For instance, AoT can automate decisions such as increasing the power of a truck’s refrigeration unit as it approaches hotter regions. Furthermore, the analysis of the historic data is important as well to spot some significant predictive patterns. Analysis of historic data can reveal the areas which should be avoided during certain parts of the day. With this information, new delivery routes can be predicted to ensure on-time delivery. With all these benefits, the transportation and logistics sector maintains a major market share in the AoT market and is estimated to have a steady growth rate during the forecast period.

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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
  • #

    Data scoring and light computing at the edge of the devices minimizes the costs of transporting and saving of data.

    • Enterprise
    • 1 to 50
  • #

    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
  • #

    GE is at the forefront of converging industrial machines, data, and the internet.

    • Enterprise
    • Massachusetts, USA
    • Founded: 1892
    • More than $100 BN
    • 1,00,001 to 5,00,000
  • #

    Google provides its IoT analytics through Google Cloud Platform, which provides an efficient, scalable, and affordable solution to its customers.

    • Enterprise
    • California, US
    • Founded: 1998
    • More than $100 BN
    • 75,001 to 1,00,000
  • #

    Offers self-diagnosis and self-healing systems that are instrumental in minimizing support costs.

    • Startup
    • California, US
    • Founded: 2008
    • 101 to 500
  • #

    HPE offers high data visualization for the representation of data in pictorial or graphical format.

    • Enterprise
    • Palo Alto, California, United States
    • Founded: 2015
    • 10,001 to 15,000
  • #

    IBM operates in the analytics of things market through its IBM Watson analytics and IBM Bluemix products. Watson IoT uses the Bluemix platform, which helps organizations in analyzing the IoT data. It delivers analytics of things through on-premises and on cloud deployment options.

    Read More
    • Enterprise
    • 1 to 50
  • #

    This service can be used by IoT to process incoming telemetry, detect events, and perform aggregation

    • Enterprise
    • Washington, USA
    • Founded: 1975
    • More than $100 BN
    • 1,00,001 to 5,00,000
  • #

    Oracle IoT cloud offers a highly interactive and user-friendly visual interface, it integrates with Oracle Data Visualization cloud, and Oracle Business Intelligence for visualization, reporting, dash boarding, charts & graphs, and more.

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

    Processes more than 250 machine leaning models in data-cluster, paving the way for deploying the predictive analytics in Hadoop.

    • Startup
    • Massachusetts, US
    • Founded: 2006
    • Below $10 MN
    • 51 to 100
  • #

    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
  • #

    Provides various business applications, including SAP fraud management and embedded predictive algorithms through which it can monitor, analyze, and automate business processes in real time.

    • 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
  • #

    Platform facilitates easy streaming data pipelines, which includes Change Data Capture (CDC), which is useful for real-time log correlation, streaming analytics, and edge processing & cloud integration.

    • Startup
    • Palo Alto, California, United States
    • Founded: 2012
    • 101 to 500
  • #

    Offers fastest data exploration method that explores data from multiple data sources, which includes spreadsheets, CSV's, SQL, text files, HDFS, and many others.

    • Enterprise
    • 1,001 to 5,000
  • #

    Offers time-series analytics that enables trend analysis and pattern detection.

    • Enterprise
    • Founded: 2017

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