The telecommunications and IT industry is one of the most significant industries in the industrial analytics market. It is a dynamic industry, which has been instrumental in infusing analytics into the applications to improve its decision-making capabilities. The amount of data generated in this industry is substantially huge, which requires superior quality analytics. With its complex and fast-paced business models, the telecommunications vertical adopts industrial analytics to act on dynamic business events in real-time. Telecommunications service providers are using industrial analytics to identify and capitalize on competitive advantages. They analyze their networks every second to find better ways to deliver phones, internet, and TV provisions. Industrial analytics enables companies to perform easy integration of data from disparate sources; get a consolidated view of customers’ data across the organization; integrate campaign management by automating analytics tasks, optimizing business rules, and systemizing processes; and make collaborative decisions to boost performance. The market growth of the telecommunications vertical is expected to increase rapidly due to the growing demand of data persistence option and voluminous content generated on a daily basis in telecommunication organizations.

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EVALUATION CRITERIA

Below criteria are most commonly used for comparing Industrial Analytics Software tools.
  • Breadth and Depth of Product Offerings
    • Product Offerings
    • Product Differentiation Feature
    • Services
      • Education & Training
      • Support & Maintenance
      • Managed Services
      • Consulting Services
      • Deployment & Integration Services
      • Other Services
  • Product Features and Functionality
    • Self-service Capabilities
    • Features Offered
      • Data Discovery
      • Data Transformation
      • Data Integration
      • Data Quality
      • Data Security
      • Metadata Management
      • Data Governance
      • Data Lineage
      • Data Orchestration
      • Data Visualization
      • Other Features
  • Delivery
    • End Users
      • Data Scientists
      • Application Developers
      • Business Analysts
      • Consultants
      • Other End Users
    • Deployment Model
      • Hosted / On-Cloud
      • Hybrid
      • On-Premise
    • Delivery Mode for Client Location
      • Full Time Equivalent
      • Subscription / Licensing
    • Channel of Delivery
      • Directly
      • Through Partners / Third-Party Vendors / MSSPs
  • Business Applications
    • Use Cases
      • Other Cases
      • Risk Analytics
      • Operational Analytics
      • Marketing Analytics
      • Customer Analytics
      • Workforce Analytics
      • Financial Analytics
  • Support and Services
    • Level of Support Services
    • Customer Redressal Mechanism/Program
    • services
      • Technical Support
      • Sales Support
      • Customer Support
    • Channel for Delivery of Support Services
      • On-Site Support
      • Remote Support
    • Support Services

TOP VENDORS

    • Startup
    • Zurich, Zurich, Switzerland
    • Founded: 2007
    • 1 to 50
    • Enterprise
    • San Francisco, California, US
    • Founded: 2010
    • $5BN to $10BN
    • 51 to 100
    • SME
    • California, US
    • Founded: 1997
    • $101MN to $500MN
    • 101 to 500
    • Startup
    • Ontario, Canada
    • Founded: 1984
    • Below $10 MN
    • 1 to 50
  • #

    BRIDGEi2i provides industrial analytics solutions featuring marketing analytics, sales analytics, risk management, customer analytics, and supply chain planning. The marketing analytics solutions include market intelligence, customer intelligence, and marketing effectiveness. They help businesses understand customer needs and predict future requirements.

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    • Startup
    • Bangalore, Karnataka, India
    • Founded: 2011
    • Below $10 MN
    • 101 to 500
  • #

    Cisco offers the Edge IoT Analytics platform as its prime offering in the industrial analytics market. The platform allows organizations to align the expertise of applications, sensors, and security services providers for ensuring enterprise assets work efficiently together for analyzing and delivering data accurately. Furthermore, it facilitates timely decisions which reduce costs and increase revenues.

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

    General Electric registers its presence in the industrial analytics market with its cloud-based Predix platform, which serves the digital industrial businesses. It provides users with actionable insights into assets and operations, which help them create new business opportunities. In addition, the Predix platform helps businesses to connect industrial equipment, analyze data, and provide them with real-time insights. Furthermore, the company provides Predix-based industrial applications, which help businesses to understand the root cause of any problem related to machinery, which has occurred during the production cycle.

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

    Hitachi offers industrial analytics solution through big data analytics and Pentaho data integration and analytics solutions. It facilitates smart manufacturing to the industries such as energy and utilities, and communications. Further, the company provides Risk Developer Kit for risk analysis in the manufacturing industry. It analyzes the data and risk in the supply chain management, product, sales and inventory planning and management.

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

    HPE offers an end-to-end industrial analytics portfolio through HPE Vertica Analytics platform. It is the most accessible analytics database platform which provides real time analytics by integrating with SQL, Java, Python and R, as well as it provides support to Business Intelligence (BI) and Extract, Transform, and Load (ETL) vendors. It helps in managing massive data generated through sensors and analyze it in high speed.

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

    IBM offers industrial analytics through Watson analytics solutions, which help businesses to develop specialized integrated solutions to deal with industry and business challenges. Furthermore, Watson Analytics Solution enables manufacturers to apply industrial analytics and cognitive capabilities in the manufacturing industry to digitize and optimize remote manufacturing process areas. It leverages various features, including smart equipment maintenance, smart factory operations, smart product design, smart quality, smart supply chain management, smart employee safety, and smart energy. The cognitive manufacturing acts as an interface between human and machine. It works through 3 factors, including intelligent assets and equipment, cognitive process and operations, and smart resources and optimization.

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    • Enterprise
    • 1 to 50
    • SME
    • New York, US
    • Founded: 1975
    • $101MN to $500MN
    • 1,001 to 5,000
    • Enterprise
    • 501 to 1,000
  • #

    Microsoft offers Azure analytics solutions to facilitate smart manufacturing to the businesses. It uses advanced analytics to analyze data, collected through sensors, which helps businesses to predict the requirement of device maintenance. Further, it decreases the unplanned outage, which impacts the productivity and reduces the cost associated with it. The connected remote monitoring system, facilitated by the Azure Analytics Suite, can be deployed in several use cases; for instance, analyzing data, generated through machines, on shop floor helps in real-time decision-making.

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

    Oracle offers its industry analytics solutions through a business analytics suite. It comprises a comprehensive set of applications, such as PeopleSoft Industry Analytics, Oracle Enterprise Asset Management Analytics, and Oracle Manufacturing Analytics. These applications enable businesses to deliver operational excellence through managing strategy with operations and driving predictable results. The company provides industry-specific applications, which serve the exact need of the business.

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

    PTC provides the ThingWorx Industrial Internet of Things (IIoT) Platform to facilitate smart connected products and solutions to businesses throughout the world. It offers complete solutions to the industrial analytics market through its development tools and comprehensive functional capabilities. The ThingWorx IIoT Platform enables developers to create applications and solutions speedily compared to manual coding. It also analyses big data, and make it readable and understandable to all users in real time. In addition, it empowers users to forestall the future, reduce the risk, and provide greater values to its customers, in a timely manner, with less cost.

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    • Enterprise
    • 1 to 50
    • Startup
    • Massachusetts, US
    • Founded: 2006
    • Below $10 MN
    • 51 to 100
  • #

    SAP caters to the industrial analytics market with its SAP Analytics Cloud Platform. SAP provides a wide-ranging solutions portfolio which empowers intelligence at the edge and automates processes at the core. It enables businesses to process and analyze large data volumes that are generated by IoT devices. Furthermore, the company builds and deploys applications on the cloud, connects and controls devices, analyzes machine and sensor data, optimizes business processes, and creates new business models.

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

    SAS offers industrial analytics solutions through its advanced analytics solutions. It comprises various products, including an event stream processing engine, visual analytics, and visual statistics. These products help businesses to analyze the data generated through various devices and sensors. For instance, in the oil and gas industry, data is captured throughout the product’s lifecycle, and analyzed to build predictive models to avoid equipment failure and inefficiencies, and pinpoint processes.

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    • Enterprise
    • North Carolina, USA
    • Founded: 1976
    • $1BN to $5BN
    • 10,001 to 15,000
    • Enterprise
    • 501 to 1,000
    • Enterprise
    • Washington, US
    • Founded: 2003
    • $500MN to $1BN
    • 1,001 to 5,000

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