5 Best Predictive Analytics Stocks to Buy

In this article, we discuss the 5 best predictive analytics stocks to buy now. If you want to read a detailed analysis of the analysis and data industry, you can go directly to the 10 Best Predictive Analytics Stocks to Buy.

5. Salesforce, Inc. (NYSE:CRM)

Number of Hedge Fund Holders: 122

Salesforce, Inc. (NYSE:CRM), headquartered in San Francisco, California, operates as an American cloud-based software company specializing in customer relationship management. The company provides tailored software and applications for sales, customer service, marketing automation, e-commerce, analytics, and application development.

On August 30, Salesforce, Inc. (NYSE:CRM) unveiled its fiscal 2024 second-quarter results, reporting earnings of $2.12 per share. This marked a substantial 78% increase compared to the same quarter the previous year, propelled by an 11% rise in revenue, surpassing $8.6 billion. The company is scheduled to announce its fiscal Q3 results on November 30 after the market closes. Salesforce, Inc. (NYSE:CRM) anticipates revenue between $8.70 billion and $8.72 billion, with diluted earnings per share ranging from $1.02 to $1.03, according to its guidance. Analysts project a 53% growth in earnings for the full fiscal year.

Among the 910 hedge funds in Insider Monkey’s Q3 2023 database, 122 invested in the company. Notably, Ken Fisher’s Fisher Asset Management emerged as the largest shareholder during this period with a $2.87 billion investment.

Harding Loevner Global Equity Strategy made the following comment about Salesforce, Inc. (NYSE:CRM) in its Q2 2023 investor letter:

“Salesforce, Inc. (NYSE:CRM), a company we’ve owned since 2019, recently added ChatGPT-like capabilities onto its existing Al module, Einstein, to support its internal sales efforts and customer-facing software. For example, Einstein GPT can help generate marketing emails tailored to specific clients by using Salesforce’s customer database and past email correspondence to learn the most effective approach for each client. Einstein GPT is also different from off-the-shelf LLMS in three important ways: It keeps personal identifiable information private and secure, compared with external tools that retain anything a user enters. It employs the latest data in Salesforce’s system, as opposed to the sometimes-stale public data that train generic models. And generative Al capabilities can be integrated with other Salesforce offerings; the company has already introduced Slack GPT and Tableau GPT, Al-equipped versions of its workplace collaboration and analytics tools.”