AoT is a combination of technologies, software and services, tools, policies, platforms, guidelines approaches, and a set of professional services. AoT software and solutions are defined and judged by their capabilities to reduce the overall operational time, cost, and required expertise, to develop analytics-rich AoT applications. The solutions are primarily responsible for collecting, integrating, cleansing, and filtering data from Internet of Things (IoT) sensors and devices. The solutions then apply model-based and datadriven prediction analytics, as well as, optimization and simulation on the collected data, to generate useful information.

The IoT Analytics software market is expected to grow from USD 7.19 Billion in 2017 to USD 27.78 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 31.0%. Factors such as the tremendous growth of IoT data and the need for advanced analytics and automation of businesses are driving the global market. In the component segment, the IoT Analytics software segment is expected to have the larger market share during the forecast period. The demand for IoT Analytics software is rising as organizations are looking for solutions to generate business-related insights and plan the next steps accordingly based on the insights gathered. Vendors provide software and solutions that assist companies with data collection and data analysis for generating meaningful insights. IoT Analytics software solutions filters the aggregated and enriched data so that it can be analyzed to provide a high throughput from multiple live input data sources. Among applications, the predictive maintenance and asset management application is expected to continue its dominance during the forecast period. Asset management integrated platforms assist users in managing physical assets and tracking equipment performance. The platforms also provide service assurance by enabling real-time alerts and providing automated corrective actions. The cloud deployment model is expected to exhibit a higher adoption compared to the on-premises deployment model. Cloud-based solutions are gaining a firm hold on the market, due to growing demands for improved service and cost-effectiveness, and the increasing needs of organizations to keep track of operational processes for maintaining productivity. The manufacturing industry vertical is expected to have the largest market share and lead the market during the forecast period. IoT Analytics can be exploited by manufacturers to create smarter products; connect and integrate with customers; streamline innovations, planning, and pre-manufacturing processes; and improve post-manufacturing support and services. 

COMPETITIVE LEADERSHIP MAPPING TERMINOLOGY

The vendors have been placed into 4 categories, based on their performance in each criterion: “visionary leaders,” “innovators,” “emerging companies,” and “dynamic differentiators.” The top 25 players have been evaluated in this section of the report. The analysis has been carried out based on specific parameters and scores have been assigned accordingly.

VISIONARY LEADERS

Vendors who fall into this section receive high scores for most of the evaluation criterion. The vendors in this section have a strong and established product portfolio, and a very strong market presence. They provide mature and reputable AoT software and services that cater to a wide range of verticals, globally. They also have strong business strategies. The companies falling in this category include IBM, Microsoft, Oracle, SAP, Cisco Systems, Dell Technologies and Google.

INNOVATORS

The companies falling in the innovators section include PTC, Hitachi, Teradata, Glassbeam, AGT International, Software AG, TIBCO Software, Striim, Ericsson, and Vitria Technology. These players have a strong product portfolio and robust business strategy to achieve continued growth. These players have innovative products and potential to build strong strategies for their business growth to be at par with the visionary leaders.

DYNAMIC DIFFERENTIATORS

The vendors included in the dynamic differentiators section have the potential to broaden their product portfolio to compete with other key market players. The companies falling in this category include HPE, Amazon Web Services and General Electric.

EMERGING COMPANIES

Emerging companies in the AoT market include Greenwave Systems, Splunk, Salesforce.com, Information Builders, mnubo and RapidMiner. These players have the potential to build a strong product portfolio and business strategy to compete in the market with the visionary leaders and innovators.

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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

    • Startup
    • California, US
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
    • Startup
    • California, US
    • Founded: 2005
    • $11MN to $50MN
    • 51 to 100
  • #

    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
    • SME
    • California, US
    • Founded: 1997
    • $101MN to $500MN
    • 101 to 500
  • #

    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
    • 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
    • Startup
    • Ontario, Canada
    • Founded: 1984
    • Below $10 MN
    • 1 to 50
    • Enterprise
    • San Mateo, California, United States
    • Founded: 2012
    • 51 to 100
    • Enterprise
    • Tel Aviv, Israel
    • Founded: 1993
    • $1BN to $5BN
    • 1,001 to 5,000
  • #

    Cisco IoT Analytics Infrastructure encompasses Cisco CSA that helps enterprises to gain the advantages of real-time analytics.

    • Enterprise
    • California, USA
    • Founded: 1984
    • $10BN to $50BN
    • 50,001 to 75,000
    • Startup
    • Illinois, US
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
    • SME
    • Palo Alto, California, United States
    • Founded: 2008
    • 1,001 to 5,000
    • Enterprise
    • San Jose, California, United States
    • Founded: 2013
    • 101 to 500
    • Enterprise
    • San Francisco, California, United States
    • Founded: 2009
    • 101 to 500
  • #

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

    • Enterprise
    • 1 to 50
    • Startup
    • California, US
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
    • Enterprise
    • Mountain View, California, United States
    • Founded: 2015
    • 101 to 500
    • Enterprise
    • Sunnyvale, California, United States
    • Founded: 2009
    • 101 to 500
  • #

    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
    • Startup
    • Connecticut, US
    • Founded: 2006
    • Below $10 MN
    • 51 to 100
    • Enterprise
    • Washington, US
    • Founded: 1996
    • $1BN to $5BN
    • 1,001 to 5,000
    • Enterprise
    • California, US
    • Founded: 1956
    • $500MN to $1BN
    • 1,001 to 5,000
    • Enterprise
    • Texas, US
    • Founded: 1994
    • $500MN to $1BN
    • 1,001 to 5,000
    • Enterprise
    • San Mateo, California, United States
    • Founded: 2000
    • 1,001 to 5,000
  • #

    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
  • #

    The platform is built to handle all types of data format, which includes structured, semistructured, and unstructured data.

    • Startup
    • Santa Clara, California, US
    • Founded: 2014
    • Below $10 MN
    • 1 to 50
    • Startup
    • California, US
    • Founded: 2007
    • Below $10 MN
    • 51 to 100
    • Enterprise
    • Sunnyvale, California, United States
    • Founded: 1996
    • 501 to 1,000
  • #

    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
    • Enterprise
    • Salt Lake City, Utah, United States
    • Founded: 2008
    • 101 to 500
  • #

    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
  • #

    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
  • #

    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
    • Startup
    • Bracknell Forest, UK
    • Founded: 1987
    • Below $10 MN
    • 51 to 100
    • Enterprise
    • Santa Cruz, California, United States
    • Founded: 2011
    • 101 to 500
    • Enterprise
    • Santa Clara, California, United States
    • Founded: 2009
    • 501 to 1,000
    • Enterprise
    • California, US
    • Founded: 1987
    • $1BN to $5BN
    • 5,001 to 10,000
    • Enterprise
    • Berkshire, England
    • Founded: 1976
    • $1BN to $5BN
    • 501 to 1,000
  • #

    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
    • Enterprise
    • Montreal, Quebec, Canada
    • Founded: 2012
    • 101 to 500
    • Enterprise
    • Beijing, China
    • Founded: 2012
    • 101 to 500
  • #

    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
    • Enterprise
    • San Mateo, California, United States
    • Founded: 2011
    • 101 to 500
  • #

    Offers predictive modelling and operationalization for numerous different outcomes

    • Enterprise
    • 1 to 50
    • Enterprise
    • Pennsylvania, US
    • Founded: 1993
    • $1BN to $5BN
    • 1,001 to 5,000
    • Startup
    • California, US
    • Founded: 2012
    • $11MN to $50MN
    • 501 to 1,000
  • #

    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

TOP REVIEWS

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