Compare and Evaluate the Major Analytics of Things Vendors Through MarketsandMarkets DIVE Report

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Browse 113 Pages and in-depth TOC on "Vendor Comparison in Analytics of Things 2017: MnM DIVE Matrix"

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This report is instrumental in helping the stakeholders, such as analytics of things vendors, system integrators, value-added resellers, and other channel partners, in making concurrent business choices on the deployment of analytics of things solutions.

Vendor Landscape 

Most of the vendors are trying to provide a complete analytics of things suite or platform, which can be used for various business functions such as sales, marketing, finance, HR, operations/production, product development, supply chain, and customer services. They are competing to provide the end-users with an innovative combination of analytics features as well as are trying to cater to all types of business applications, such as asset condition monitoring, predictive maintenance and asset management, anomaly detection, early fault warning and prevention, performance management and optimization, health and safety monitoring, remote monitoring, and others. Machine learning, Artificial Intelligence (AI), Natural Language Processing (NLP), and advanced condition prediction are the most crucial data analytics capabilities/features of an effective analytics of things solution offered by major vendors to predict business outcomes using the IoT data of any format from various sources.

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The vendors included in the report are AGT International, Amazon Web Services, Cisco Systems, Dell Technologies, Ericsson, General Electric, Glassbeam, Google, Greenwave Systems, Hitachi Ltd., HP Enterprises, IBM Corporation, Information Builders, Microsoft Corporation, Oracle Corporation, PTC, RapidMiner, Salesforce.com, SAP SE, Software AG, Splunk, Striim, Teradata Corporation, TIBCO Software, and Vitria Technology.

MnM DIVE Methodology 

The MnM DIVE methodology involves extensive research to identify the key vendors offering analytics of things solutions. A comprehensive list of analytics of things vendors was prepared, through secondary research referring to annual reports, press releases and investor presentations of companies, white papers, directories, and databases. Based on the breadth of product offering, organization size, and other selection criteria, the list was narrowed down to select the top 25 vendors.

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During the production cycle of the report, in-depth interviews were conducted with various primary respondents, which include key opinion leaders, subject matter experts, directors, and C-level executives of selected analytics of things vendors to obtain and verify critical qualitative and quantitative information. This primary data was collected mainly through questionnaires, mails, and telephonic interviews.

Scoring Methodology 

After completion of the data gathering and verification process, the scores and weightage for the shortlisted vendors against each parameter were finalized. Based on the extensive secondary and primary research, each criterion for the selected vendors was scored on the scale ranging from 0 to 10. After the ratings were finalized, each vendor was placed in the MnM DIVE matrix based on their score in product offering and business strategy in the analytics of things market.

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