Edge Networks Among HCM Top 500

9th Floor, The Estate #121, Dickenson Road

Bengaluru, KA, 560042, India

+91 080-4114-8049

https://edgenetworks.in

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Edge Networks Recent Developments

EdGE Networks provides machine learning based solutions for Talent Acquisition, Workforce Optimization, Workforce Planning and Talent Transformation. The company secured its Series A funding, recently. They have been chosen to be part of the Google Lauchpad Accelerator program and recognized as ‘Cool Vendor’ by Gartner, India Emerging 20, Deloitte Fast 50, NVIDIA ECS – The Best of Show and NASSCOM Emerge50.

Edge Networks Overview

Ownership: Private - x

Employees: 70

Functional Market: Workforce Analytics, Sourcing, Recruiting, Learning & Development, ,

Key Verticals: Professional Services, ,

Edge Networks Key Cloud & HCM Applications

Talent Acquisition,

SCORES Analysis

Edge Networks Strengths

Machine Learning: Our strength is in harnessing data science using machine learning combined with NLP to solve the toughest talent acquisition and workforce optimization challenges faced by organizations. As we work on large sets of unstructured data, deep learning comes as a natural fit to accurately determine the parameters that make right person for the right job a reality. We provide relational, contextual analysis which increases the depth of analysis derived from rich data.

EdGE Labs: R&D is the corner stone of EdGE Networks which infuses innovation in our product features. Named as EdGE Labs, the R&D lab was set up in 2012 with a focus on Data Science powered by high-end GPUs & EdGE Graph (a repository of 800K skills + 3.9 MN JDs + 22 MN profiles). We have a collaborative approach to innovation and have built a co-innovation network which is an ecosystem of technology, academic, business and domain experts. This has resulted in a very intelligent solution that solves real business problems in a futuristic way.

Tangible business benefits: Our product and solutions have a layer of analytics built into them which allows us to measure the business impact juxtaposed with data shared by client. We have impacted both revenue and profits of our clients resulting from improved time, cost and accuracy of talent management. Our solution provides 40% reduction in hiring time and 2x improve in quality of hire, impacting teh customer's bottomline.

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  • Key differentiators
  • Domain Expertise
  • Product portfolio
  • Solution scope

Edge Networks HCM & Cloud HCM Applications Revenues, $M:

Type/Year 2015 2016 YoY Growth, %
Total Revenues, $M Subscribe Subscribe Subscribe
HCM Applications Revenues, $M Subscribe Subscribe Subscribe
Cloud HCM Applications Revenues, $M Subscribe Subscribe Subscribe

* HCM Applications Revenues = License + Support & Maintenance + SaaS ( Hardware and Prof. Services are Excluded )
** All revenue figures are estimates based on public records, Cloud and Non-Cloud business models in Apps Run The World's vendor database, and annual survey results including vendor feedback.

Edge Networks 2016 Revenue Breakdown by Type:

Type License Services Hardware Support & Maintenance SaaS
% of Total Revenues Subscribe Subscribe Subscribe Subscribe Subscribe
Revenues, $M Subscribe Subscribe Subscribe Subscribe Subscribe

Edge Networks 2016 Total & HCM Applications Revenues by Region:

Region % of Total Revenues 2016 Total Revenues, $M 2016 HCM Applications Revenues, $M
Americas Subscribe Subscribe Subscribe
EMEA Subscribe Subscribe Subscribe
APAC Subscribe Subscribe Subscribe
Total Subscribe Subscribe Subscribe

Edge Networks Direct vs Indirect sales

Region Direct Sales Indirect Sales Total
Type % Subscribe Subscribe Subscribe
Revenues, $M Subscribe Subscribe Subscribe

Edge Networks Customers

No. of Customers: Subscribe

No. of HCM Applications Customers: Subscribe

No. of Cloud HCM Customers: Subscribe

No. of Cloud HCM Subscribers: Subscribe

Don't Miss our Customer Database


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  • Reference wins across regions
  • Customer Size segments
  • Customer wins momentum

Edge Networks Opportunities

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  • Market Opportunities at the vertical and subvertical levels
  • Mergers and Acquisitions (M&A), Funding
  • Geo Expansions

Edge Networks Risks

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  • Ability to handle internal and external risk and challenges

Edge Networks Ecosystem

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  • Health of ecosystem
  • Network Effects of BPO, ISV, SI
  • VAR Partners
  • Direct vs Indirect sales

Edge Networks Cloud Platform (PaaS) & Infrastructure (IaaS) Details

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  • Cloud Infrastructure (IaaS)
  • Cloud Platform (PaaS)
  • Cloud Application delivery (SaaS)
  • Data Center (Hosting)

Research Methodology

Data used in research reports are derived from publicly available documents, continuous surveys of applications vendors, customers, resellers, Independent Software Vendors, systems integrators and other verifiable sources.


Vendor shares and market forecast results are based on a combination of existing databases as well as demand side and supply side research conducted throughout the year with validation from vendors, customers, channel partners and documentations such as earnings releases and 10Q and 10K filings, vertical industry studies, regional and country-level statistics from public and private institutions(i.e. colleges, universities, government agencies and trade associations).




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