Tech Sentiment Polls Q3 2023 - Thematic Intelligence

Tech Sentiment Polls Q3 2023 - Thematic Intelligence


Summary

This report is based on polls designed to help us understand the current sentiment of the business community towards emerging and established technologies.

Key Highlights

Artificial intelligence (AI) is 2023’s most talked-about technology. The results of the Q3 2023 sentiment polls are consistent with Q2 2023, with over 70% of respondents believing AI will disrupt their industry. Despite this, our poll results suggest confidence in AI’s abilities has waned slightly. 53% of respondents stated that the technology would live up to all its promises, 10% lower than in Q2 2023 (63%). While the number remains high, it seems not everyone is convinced that AI will live up to the hype.

As a technology, the metaverse is overhyped and ill-defined. The poll results for Q3 2023 reflect this. 41% of respondents said they did not expect the metaverse ever to disrupt their industry. Additionally, 59% of respondents believe it is all hype and no substance, in line with Q2 results (61%). Until there are tangible use cases that address business challenges, skepticism around the metaverse will persist.

Scope
  • Our sentiment polls ran between April and May 2023 on GlobalData's Verdict network of B2B websites, which had 5.9 million unique visitors between July and August 2023. In total, 1,450 respondents participated in the survey.
  • The survey focused on seven technologies: artificial intelligence, augmented reality, cloud computing, cybersecurity, the Internet of Things, the metaverse, and robotics.
Reasons to Buy
  • This survey gives a unique insight into the views of the business community on emerging and established technologies. The responses reveal which technologies executives view as most disruptive, which they believe to be over-hyped, and how their opinion of them has changed over time.


About our tech sentiment polls
Executive summary
Level of disruption
Disruption timelines
Hype vs. substance
Technology understanding
Sentiment polling methodology
Thematic research methodology
About GlobalData

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