ML/AI shows continued momentum with growing Mind Share driven by record-setting evaluations of OpenAI with an uptick in organizations allocating further spend to the company. Come check out the most recent MAY23 ETS data.
Based on the recently closed MAY23 Emerging Technology Survey (ETS) data, this article examines the sophomore data set for OpenAI, the company behind the ChatGPT phenomenon. First, let's review some of the data captured at a higher level for the ML/AI sector as a whole. ML/AI has the 4th highest Net Sentiment score, up from the 5th position last survey, across all sectors in ETR’s MAY23 Emerging Technology Survey, trailing Stream Processing, Container Orchestration and Design. Unlike many other sectors, Net Sentiment for ML/AI is higher than data collected in FEB23 and year-ago levels. In general, a higher Net Sentiment score indicates strong plans to evaluate and/or utilize an emerging vendor in the next 6 months. In addition to having one of the highest Net Sentiment scores within the ETS, ML/AI also has one of the highest Mind Shares from IT executives, driven by record-setting evaluations of OpenAI with an uptick in organizations allocating further spending to the company (see below).
OpenAI continues to steal eyeballs and wallets within the ML/AI sector with Mind Share and Net Sentiment, which has increased since FEB23. In addition, OpenAI leads all ML/AI peers in evaluation rates by a wide margin. At 48%, up from 41% during the FEB23 ETS survey, OpenAI’s evaluation rate is in the Top 10 ever captured since ETR rolled out the ETS back in November of 2018. The company is easily #1 with 322 respondents evaluating OpenAI, up 58% from FEB23.
However, it is Databricks, TensorFlow, and Anaconda that continue to lead the ML/AI sector in actual Utilization rates among our ITDM community. While not as high as its sector peers, OpenAI’s Utilization rate ticked up from 12% last survey to 15% in the most recent data set, indicating a healthy first step in converting evaluations into customers utilizing (and paying for) their products (see below).
Overall, in just its second ETS, OpenAI’s has achieved 71% Mind Share within the ML/AI sector, up from 56% in FEB23. Meanwhile, respondent citations rose 35% survey over survey to 690, the fifth highest in the entire ETS universe across 493 vendors. Lastly, OpenAI’s Net Sentiment improved 9%-pts to 59% (the 2nd highest in the ETS) driven by more respondents allocating spend to the company as well as more current evaluations. Future ETR surveys will produce data that will continue to track the company's ability to convert evaluations into utilization and increased spend. Make sure to stay tuned.
In the meantime, see the full MAY23 ETS report on the ML/AI sector, with a specific emphasis on OpenAI here. You can also read the ETR Insights' industry analysis on ChatGPT from earlier this year. Or, you can check out all of the data on OpenAI and 800+ other enterprise technology vendors on the ETR Platform. Not a customer or community member yet? No worries at all because you can also request immediate access via a free trial.
Enterprise Technology Research (ETR) is a technology market research firm that leverages proprietary data from our targeted IT decision maker (ITDM) community to provide actionable insights about spending intentions and industry trends. Since 2010, we have worked diligently at achieving one goal: eliminating the need for opinions in enterprise research, which are often formed from incomplete, biased, and statistically insignificant data. Our community of ITDMs represents $1+ trillion in annual IT spend and is positioned to provide best-in-class customer/evaluator perspectives. ETR’s proprietary data and insights from this community empower institutional investors, technology companies, and ITDMs to navigate the complex enterprise technology landscape amid an expanding marketplace. Discover what ETR can do for you at www.etr.ai