C5i Case Studies Assessment of competition landscape for predictive maintenance

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	Assessment of competition landscape for predictive maintenance C5i

Assessment of competition landscape for predictive maintenance

C5i

Technology Category	Analytics & Modeling - Predictive Analytics
Applicable Functions	Maintenance
Use Cases	Predictive Maintenance
Services	Data Science Services
Challenge	The client, a leading devices and services company in the IT industry, recognized the potential of predictive maintenance in transforming their strategic and operational environment. However, due to the industry’s infancy, the client faced challenges in understanding the competitive dynamics and the impact of predictive maintenance on their business. They wished to gain insights into the market landscape of predictive maintenance offerings, including details such as key vendors, company background, details of offerings, launch timelines, use case stories, industry focus, and list of customers. Read More
About Customer	The customer is a leading devices and services company operating in the Information Technology industry. Recognizing the future growth potential of value-added services in the machine to machine (M2M) market and the Internet of Things (IoT), the client sought to leverage data from physical assets to gain insights and transform their strategic and operational environment. The client identified predictive maintenance as a key area of opportunity and wished to understand its impact on their business and the competitive dynamics of the market. Read More
Solution	Blueocean Market Intelligence was engaged to analyze the market landscape of predictive maintenance offerings. The research was spread over a period of ten weeks and implemented a 360-Degree Discovery Approach. The steps included identifying the top vendors offering predictive maintenance solutions, providing an overview of all vendors, and creating separate slides for each company with information on the company background, product overview, and a use case scenario for the company’s predictive maintenance solution. A separate report was created to compare all the key vendors in this space within different categories, such as provision for independent or add on solutions, department focus, integration capability, deployment options, and pricing. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Applicable Functions

Maintenance

Use Cases

Predictive Maintenance

Services

Data Science Services

Challenge

The client, a leading devices and services company in the IT industry, recognized the potential of predictive maintenance in transforming their strategic and operational environment. However, due to the industry’s infancy, the client faced challenges in understanding the competitive dynamics and the impact of predictive maintenance on their business. They wished to gain insights into the market landscape of predictive maintenance offerings, including details such as key vendors, company background, details of offerings, launch timelines, use case stories, industry focus, and list of customers.

About Customer

The customer is a leading devices and services company operating in the Information Technology industry. Recognizing the future growth potential of value-added services in the machine to machine (M2M) market and the Internet of Things (IoT), the client sought to leverage data from physical assets to gain insights and transform their strategic and operational environment. The client identified predictive maintenance as a key area of opportunity and wished to understand its impact on their business and the competitive dynamics of the market.

Solution

Blueocean Market Intelligence was engaged to analyze the market landscape of predictive maintenance offerings. The research was spread over a period of ten weeks and implemented a 360-Degree Discovery Approach. The steps included identifying the top vendors offering predictive maintenance solutions, providing an overview of all vendors, and creating separate slides for each company with information on the company background, product overview, and a use case scenario for the company’s predictive maintenance solution. A separate report was created to compare all the key vendors in this space within different categories, such as provision for independent or add on solutions, department focus, integration capability, deployment options, and pricing.

Impact #1	The client gained a comprehensive understanding of the competitive dynamics in the predictive maintenance market.
Impact #2	The client was able to identify top tier vendors such as SAP, IBM, SAS, GE, Oracle, Microsoft, and niche vendors such as Mtell, Splunk, Predixion, Blueyonder, Pentaho.
Impact #3	The client gained insights into the capabilities of predictive maintenance solutions from various vendors, including their ability to integrate with external applications and systems.

Impact #1

The client gained a comprehensive understanding of the competitive dynamics in the predictive maintenance market.

Impact #2

The client was able to identify top tier vendors such as SAP, IBM, SAS, GE, Oracle, Microsoft, and niche vendors such as Mtell, Splunk, Predixion, Blueyonder, Pentaho.

Impact #3

The client gained insights into the capabilities of predictive maintenance solutions from various vendors, including their ability to integrate with external applications and systems.

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Overview

Assessment of competition landscape for predictive maintenance

Operational Impact