Zinnov recognized eInfochips’ IoT Technology Services in Product Engineering, System Integration, and Managed Services, and its strong engineering competencies in Sensor & Devices, Communication, and Platform & Application competencies.

San Jose (CA) – August 22, 2017: eInfochips, a global Product Engineering and Software R&D services firm, is rated as an “Established” and “Niche” service provider in Zinnov Zones 2017 for Internet of Things TechnologyServices. eInfochips is featured in the “Execution Zone” for its IoT technology capabilities in Product Engineering, System Integration, Sensors & Devices Competency, Communication Competency, and Platform & Application Competency. The company is also rated in “Breakout Zone” for its capabilities in Managed Services, Big Data Management, and Analytics Services.

"Today, market dynamics and consumer expectations are changing faster than ever. It requires companies to understand and implement end-to-end solutions, across devices, protocols, cloud, and applications. Through our IoT IPs and Solution accelerators, we help our clients address these unique demands and enable them to get to market faster and stay ahead of the technology curve,” said Abhishek Binaykia, Associate Vice President of Marketing at eInfochips. "Our recent launch of the Snapbricks Intelligent IoT Gateway framework, coupled with our solutions in Device Lifecycle Management (DLM) and Application Enablement Platforms (AEP), clearly demonstrate our strong competency and tremendous breadth of IoT technology services. We believe this rating is a strong testament to our IoT capabilities."

The study titled 'Zinnov Zones 2017 - Internet of Things Technology Services', analyzed the Global IoT market and trends from both the 'Spenders' and 'Service Providers' POV. Global Service Providers were then rated on their IoT Technology Services' competency across Zinnov Zones. The ratings were done extensively across segments: Advisory & Consulting, Product Engineering, System Integration, Managed Services and their respective sub-segments to analyze the overall position of an SP.