Just 5% of alternative data buyers expect their budgets to fall in 2025, according to Neudata’s Industry Trends Survey 2024. Data buyers responding to the survey represent roughly $100m in annual spend, while vendor respondents generate a total of over $650m in revenue from data sales. We asked about data costs, trials, pain points, popular categories and, of course, AI. In this report, we reveal our findings.

The ability to leverage new datasets is an increasingly important differentiator for investment managers to stay ahead of the competition. In this report, we highlight novel datasets that may be worth considering.

The quality and diversity of training data can determine the success or failure of AI models. In this article, we explore the growing market for training data.

Determining the trajectory of consumer spending with high-frequency alternative sources can offer investors a timely advantage. In this report, we summarise key dataset types and highlight where they can be found.

As dealers and manufacturers turn to incentives to shift stock, we highlight datasets that can be used to forecast the revenue of auto manufacturers.

As healthcare stocks continue to outperform other sectors, we examine the evolving data landscape for tracking medical device utilisation.

We look at the use case for receipt data in understanding changes in shopping behaviour, highlighting key providers in the space to be aware of.

In this report, we outline transactional datasets that can provide insights into Korea’s retail sector and effectively identify consumer spending patterns.

With the boom in AI, tech-focused datasets have seen increased interest among private market investors. In this report, we discuss some of the latest trends in the tech data space.

In an increasingly complex risk environment, some insurers are turning to alternative data to gain a competitive edge. We look at datasets that can deliver returns.