Challenges in Internet-of-Things (IoT) Implementation

Proof Point

Lack of analytics skills and talent to leverage data identified as top challenge of implementing Internet-of-Things, according to Capgemini survey

Challenges in Internet-of-Things (IoT) Implementation

2018 (percentage)

Note: Data based on Capgemini's survey of 316 respondents from companies implementing IoT in Operations, from automotive, industrial manufacturing, retail, telecommunications, consumer goods, and energy & utilities sectors across U.S., U.K. France, Germany, China, and Netherlands.

Proof Point Findings

  • Internet-of-Things – Network of physical objects and virtual platforms embedded with software, sensors, and network connectivity that are capable of collecting and exchanging data
  • Lack of Data Analytics Skills – 60% of respondents surveyed by Capgemini said current data analytics capabilities in terms of skills and talent are not enough to take advantage of IoT data, top challenge to IoT implementation
  • Uncertain Regulations – Unpredictable regulations and standards another challenge to IoT implementation, as selected by 57% of respondents
  • Data and Technology Gaps – 57% of participants also said their current data landscape is not ready to manage IoT data, while 53% cite lack of technological infrastructure readiness as deterrence to IoT implementation
  • Key Growth Drivers – Include greater drive for efficiency gains, increasing demand for data analytics skills, growing industrial application of IoT devices, and lagging regulatory policies


Market Disruption


Consumer Non-Durables, Energy, Industrial Manufacturing, Telecommunications, Transportation and Logistics, Utilities, Wholesale and Retail Trade




Date Last Updated

February 22, 2019

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