40% of Enterprises Regard Blockchain Tech as Being 'Overhyped'

Aug 20, 2018 at 10:41 // News
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Coin Idol
The research in which more than 1,000 Blockchain-savvy executives at companies boasting yearly revenues of $0.5 billion or above in the US, Mexico, China, Germany, UK, France and Canada were polled, this ken was larger in the global's biggest economy.

The world Blockchain survey shows that nearly 40% of the respondents were believing that Blockchain was "overhyped."

The research in which more than 1,000 Blockchain-savvy executives at companies boasting yearly revenues of $0.5 billion or above in the US, Mexico, China, Germany, UK, France and Canada were polled, this ken was larger in the global's biggest economy.

“Despite enterprise digital respondents’ interest in blockchain’s capabilities, nearly 39 percent of the broad global sample said they believe blockchain is “overhyped.” In the United States, this number is higher: 44 percent of respondents view blockchain as overhyped, up from 34 percent in 2016,” notes the survey.

Be Strong and Courageous

One of the reasons for this ken was the sharp increase in the values of tokens over the past one and a half years. In addition to that, this could be a clear mirror of a move towards pragmatism in the world of Blockchain.

“Because we are still early in blockchain’s development, these fits and starts in its maturation are not surprising,” the survey noted.

Shifting of Goal Posts

This was backed up by the fact that several investments in Blockchain continue to soar with a big percent of companies investing $10 million and above in Blockchain being in the double digits. In the US, 13% of the participant respondents noted that their firms were allocating $10 million and above in Blockchain in 2018, and it was also 15% in the UK.

France and Mexico registered the biggest percentage of companies making major investments at 20% and 21% respectively. Canada, Germany and China recorded 12%, 18% and 12% respectively.

The gear has also moved from a focus on learning and discovery to the identification and development of more practical business model applications.

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