The state of generative AI: Our global survey of over 3,000 tech leaders

The Elastic Generative AI Report looks at how organizations are adopting generative AI.


We are excited to announce the release of The Elastic Generative AI Report, which reveals the expectations and challenges of early generative AI implementation worldwide. The report, produced in collaboration with Vanson Bourne, compiles data points and industry insights of 3,200 decision-makers and influencers working in IT, analytics, and data across 10 countries.

We sought to understand how organizations are currently approaching generative AI, what challenges they’re facing, the strategies they’re using, and what opportunities they’ve identified. The survey included responses from the US, UK, France, Germany, Singapore, India, Australia, Spain, Netherlands, and Japan. 

Not surprisingly, the survey shows that generative AI is at the forefront of organizational plans to innovate, grow, and improve operational efficiencies. However, it also reveals deep concerns around the security and privacy of generative AI technologies, ensuring data quality to feed the models is available, the growing disparate AI regulation globally, and the need for more specialized in-house AI skills.


99% of respondents said generative AI would drive transformational change in their organization

 The potential benefits cited by respondents for using generative AI were primarily: 

  • Improved resource use — such as employee time and workload — operational efficiency, and increased employee productivity

  • The opportunity to provide more engaging, personalized customer experiences

However, organizations are at all ends of the spectrum when it comes to adopting generative AI technology — some have fully embraced it, others are in the trial phase, and some are just starting. 

The survey indicates that India is the furthest ahead in implementing generative AI. India’s large services industry and the need for real-time, actionable insights could explain the high adoption numbers — 81% of respondents in the country cited generative AI was used in some way. Singapore is a close second in terms of adoption numbers (63%), with Spain not far behind (57%). Australia also signaled strong interest in rapidly adopting generative AI tools, reporting the highest number of organizations that are still trialing generative AI.

Generative AI’s data problem

One primary concern is data quality. Generative AI models rely on the data that feeds them. Organizations must have sufficient quality data to train the models, and many do not. 

In part, this is down to the need for access controls and data being stored across multiple systems for security purposes, which keeps the data siloed. Nearly 75% of those surveyed reported that viewing data across all environments is a key difficulty for their organization. This slows data-based insights and doesn’t allow organizations to use their data wisely — or in generative AI models.


But the quality of the data is critically important because […] if the quality of the data is no good, [GenAI models] are not going to give you the right outcome. And so, having good quality data that is easily accessible is critically important. Not something that many organizations have.

COO of a financial services firm in Australia

With search powered AI, organizations can overcome many of the challenges they face with data silos. Pairing search with generative AI can result in high-quality search results that are accurate, current, relevant, and derived from real-time data. It also ensures results and information are presented with business context, in simple language for users and customers. The combination allows organizations to make sense of their data and ultimately make better-informed decisions. 

But many organizations lack the search capabilities to gather actionable insights effectively. Whether they struggle to use their search results or their current search engine is unable to cover multiple data sources, organizations are now eyeing a conversational search experience powered by generative AI and natural language processing. Almost half of respondents believe their organization could save at least two days per week per employee if they could conversationally search their organizational data.

Are organizations working toward a search powered AI solution? How are they overcoming the other challenges of adopting generative AI? Read the entire report, full of insights into how global organizations view generative AI, address security concerns, and adapt to new search and AI technologies. 

Download The Elastic Generative AI Report, and take the quiz to see where you are in your generative AI adoption journey.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

In this blog post, we may have used or referred to third party generative AI tools, which are owned and operated by their respective owners. Elastic does not have any control over the third party tools and we have no responsibility or liability for their content, operation or use, nor for any loss or damage that may arise from your use of such tools. Please exercise caution when using AI tools with personal, sensitive or confidential information. Any data you submit may be used for AI training or other purposes. There is no guarantee that information you provide will be kept secure or confidential. You should familiarize yourself with the privacy practices and terms of use of any generative AI tools prior to use. 

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