Strategic Intelligence: Tech Sentiment Polls Q4 2024

Strategic Intelligence: Tech Sentiment Polls Q4 2024

Summary

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

Key Highlights

  • In Q4 2024, for the third quarter running, less than half of respondents believed AI would live up to all its promises. As more people interact with AI products, such as large language models (LLMs), they increasingly come up against the technology’s limitations. Despite this, the percentage of respondents who believed AI would be disruptive (78%) remained high as the world’s leading tech companies continue to roll out generative AI products.
  • As a technology, cybersecurity is ubiquitous across all sectors. In Q4 2024, 73% of respondents believed cybersecurity was either already disrupting their industry or would do so in the next 12 months. No industry is exempt from cyberattacks. Despite this, cybersecurity ranked in the bottom three for the number of respondents who fully understand the technology in Q4 2024. As cyberattacks become more sophisticated, it will be more difficult to identify and tackle cybersecurity threats.
Scope
  • Our sentiment polls ran between October and December 2024 on GlobalData's Verdict network of B2B websites, which had 8 million unique visitors in Q4 2024. In total, 1,435 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
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