Industrial analytics refers to the process of collecting, analyzing, and using the data generated in industrial operations throughout the product’s lifecycle. Industrial analytics involves traditional methods of statistical modeling and data capture, and modern advancements in connectivity, such as Industrial Internet of Things (IIoT) and improved methods for interpreting and analyzing data, including machine learning. Industrial analytics is applicable to any asset-intensive company that is manufacturing physical products. Industrial analytics enables organizations to better understand their industrial operations and helps gain deeper business insights to optimize their businesses

COMPETITIVE LEADERSHIP MAPPING TERMINOLOGY

The vendors are placed into 4 categories based on their performance in each criterion: “visionary leaders,” “innovators,” “dynamic differentiators,” and “emerging companies.” The top 26 vendors have been evaluated, including General Electric Company, Microsoft Corporation, IBM Corporation, SAP SE, SAS Institute, Inc., Oracle Corporation, Cisco Systems, Inc., Hewlett Packard Enterprise, PTC, Inc., Intel Corporation, AGT International GmbH, TIBCO Software, Inc., BRIDGEi2i Analytics Solutions, Hitachi, Ltd, Alteryx, Inc., KNIME.com AG, RapidMiner, Inc., Angoss Software Corporation, Tableau Software, Inc., Information Builders, Fair Isaac Corporation (FICO), Striim, Inc., Lavastrom Analytics, Inc., Alpine Data, and Leantegra, Inc.

VISIONARY LEADERS

Vendors who fall into this category receive high scores for most of the evaluation criteria. They have a strong and established product portfolio, and a very strong market presence. They provide mature and reputable industrial analytics solutions. They also have strong business strategies. General Electric Company, Microsoft Corporation, IBM Corporation, SAP SE, SAS Institute, Inc., PTC, Inc., and Hewlett Packard Enterprise are the vendors who fall into the visionary leaders’ category.

INNOVATORS

Innovators in the MicroQuadrant are vendors that have demonstrated substantial product innovations as compared to their competitors. They have a much-focused product portfolio. However, they do not have a very strong growth strategy for their overall business. Oracle Corporation, Angoss Software Corporation, TIBCO Software, Cisco Systems, Inc., Intel Corporation, Striim, Inc., BRIDGEi2i Analytics Solutions, and Leantegra, Inc. are the vendors who fall into the innovators’ category.

DYNAMIC DIFFERENTIATORS

They are established vendors with very strong business strategies. However, they are low in their product portfolios. They focus on a specific type of technology related to the product. Alteryx, Inc., Tableau Software, Inc., and Hitachi, Ltd are the vendors who fall into the dynamic differentiators’ category.

EMERGING COMPANIES

They are vendors with niche product offerings and are starting to gain their position in the market. They do not have strong business strategies, as compared to other established vendors. They might be new entrants in the market and require some more time before getting significant traction in the market. KNIME.com AG, Fair Isaac Corporation (FICO), AGT International GmbH, Lavastrom Analytics, Inc., Alpine Data, RapidMiner, Inc., and Information Builders are the vendors who fall into the emerging companies’ category.

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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
    • California, US
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
    • Startup
    • California, US
    • Founded: 2005
    • $11MN to $50MN
    • 51 to 100
    • 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
    • Startup
    • Illinois, US
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
    • Startup
    • California, US
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
    • Startup
    • Connecticut, US
    • Founded: 2006
    • Below $10 MN
    • 51 to 100
    • Enterprise
    • California, US
    • Founded: 1956
    • $500MN to $1BN
    • 1,001 to 5,000
  • #

    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
    • Startup
    • California, US
    • Founded: 2007
    • Below $10 MN
    • 51 to 100
    • Startup
    • California, US
    • Founded: 2008
    • 101 to 500
  • #

    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
    • California, USA
    • Founded: 2015
    • $10BN to $50BN
    • 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
    • New York, USA
    • Founded: 1911
    • $50BN to $100BN
    • 5,00,001 & more
    • SME
    • New York, US
    • Founded: 1975
    • $101MN to $500MN
    • 1,001 to 5,000
  • #

    Intel Corporation provides industrial analytics solution through edge analytics. It allows constructive use of the information by providing features such as improved efficiency, enhanced yields, and reduced downtimes. It empowers manufacturers to extract valuable insights from industrial data which is generated through various devices and sensors. Further, it optimizes and secures operations and unleashes new services. Intel provides end-to-end foundation for intelligent factors which scales the data from operation floor to data centers, comprehensive security, API management, and pre-integrated hardware and software solutions.

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    • Enterprise
    • California, USA
    • Founded: 1968
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
    • Startup
    • Zurich, Switzerland
    • Founded: 2008
    • Below $10 MN
    • 1 to 50
    • Startup
    • Bracknell Forest, UK
    • Founded: 1987
    • Below $10 MN
    • 51 to 100
    • Enterprise
    • 501 to 1,000
    • Startup
    • New York, US
    • Founded: 2013
    • Below $10 MN
    • 51 to 100
  • #

    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
    • 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
    • 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
    • Startup
    • New York, US
    • Founded: 2004
    • Below $10 MN
    • 501 to 1,000
    • Enterprise
    • 501 to 1,000
    • Enterprise
    • Washington, US
    • Founded: 2003
    • $500MN to $1BN
    • 1,001 to 5,000
    • Enterprise
    • California, US
    • Founded: 1979
    • $1BN to $5BN
    • 10,001 to 15,000
  • #

    TIBCO leverages industrial analytics solution through Spotfire platform. It is an enterprise-class platform which enables business users and technical users navigate through the data in order to develop actionable insights. It facilitates various features and functionalities including, smart visual data discovery, immersive data wrangling, predictive analytics, location analytics, insight platform, and enterprise scale analytics.

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    • Enterprise
    • 1,001 to 5,000

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