China has highest percentage of early adopters

Across the five regions surveyed, the level of maturity with regard to machine data technologies varies significantly. While no country can claim to be the global early adopter, the percentage of companies in China (57 percent) that were identified as early adopters, is significantly higher than anywhere else. The United States is at 32 percent, United Kingdom at 26 percent, Germany at 21 percent and France at 14 percent.

The rate of implementation of asset efficiency strategies in each country over the next five years is expected to be broadly the same. Nearly half of the respondents surveyed (48 percent) want to use machine data technologies by 2020 to systematically implement solutions to enhance asset efficiency. One fifth (20 percent) believe that by 2020 they will not achieve anything beyond recognising the potential of the Industrial Internet of Things (or Industry 4.0 as Germany refers to this) concept.

Sudip Singh, Vice President and Global Head of Engineering, Infosys, says: "With equipment and system processes becoming intelligent, virtually every process and activity in the manufacturing enterprises involves data.

If machine data can be transformed into meaningful insights, it will be able to provide maintenance engineers with powerful tools to accurately predict failures and make better informed decisions.

Enterprises implementing technology-enabled data analytics approaches can optimally manage their assets and associated performance. This, in turn, improves availability, maximises performance, consumes less energy, produces less waste, and enhances overall quality of products."

Prof. Volker Stich, CEO of the Institute for Industrial Management, Aachen University commented that "The study we conducted together with Infosys reveals highly relevant differences between industry nations with regard to their maturity levels and abilities in 'advanced manufacturing', also known as 'Industry 4.0' in Germany.

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