We recently published a list of 13 Best Big Data Stocks to Buy According to Analysts. In this article, we are going to take a look at where Snowflake Inc. (NYSE:SNOW) stands against other best big data stocks to buy according to analysts.

The big data companies focus on collecting, storing, and analyzing huge amounts of data that businesses use to make smarter decisions. This data comes from many sources, like websites, sensors, social media, and customer interactions. These companies aim to find patterns, trends, and insights that help companies improve various aspects of their business, including their products, services, and operations. Key areas within the industry include data storage, analytics, cloud computing, and AI-driven solutions.

As companies increasingly rely on data to optimize their processes and predict trends, industries like healthcare, finance, retail, and manufacturing are adopting big data solutions. The industry is growing rapidly, driven by technological advancements, especially AI, machine learning, and cloud computing, which help process and analyze data more efficiently. Many companies are offering cloud-based big data solutions, enabling businesses to access powerful data storage, processing, and analytics tools without the need to maintain expensive on-premises infrastructure.

Big Data Stocks are Poised to Grow

As businesses turn to AI and automation, investors are piling on to big data companies that offer AI-driven analytics platforms. Companies focusing on real-time data processing and analytics are also attracting investor attention, given the growing need for businesses to make quick decisions based on live data. The global big data market size was valued at  $327.26 billion in 2023 and is projected to grow at a CAGR of 14.9% from 2024 to 2030, according to Grand View Research.

Here are some ways big data stocks are likely to benefit. The amount of data generated globally is increasing rapidly due to more connected devices, social media, sensors, and IoT (Internet of Things). This creates a growing need for companies that can collect, store, and analyze vast amounts of data efficiently. Meanwhile, the shift to cloud computing has made it easier for businesses to store and process big data without investing in expensive infrastructure. Cloud-based big data solutions are scalable, cost-effective, and flexible, making them an attractive option to companies of all sizes. Big data companies are closely tied to AI and machine learning, which require vast amounts of data to train algorithms and generate insights. As AI adoption grows, so does the need for platforms that can manage and analyze large datasets.

Our Methodology

To compile the list of best data stocks to buy, we reviewed Big Data ETFs to compile a preliminary list of stocks and then selected the ones with the highest upside potential, based on Wall Street analysts’ average price targets. We have also mentioned the hedge fund sentiment around each stock, as of Q4 2024.

Note: All data was recorded on April 7, 2025.

At Insider Monkey we are obsessed with the stocks that hedge funds pile into. The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 373.4% since May 2014, beating its benchmark by 218 percentage points (see more details here).

Snowflake Inc. (NYSE:SNOW)

Upside Potential: 60.26%

Number of Hedge Fund Holders: 85

Snowflake Inc. (NYSE:SNOW) is considered a big data company because it provides a cloud-based data warehousing and analytics platform designed to handle and process large volumes of structured and semi-structured data. Snowflake allows users to store vast amounts of data in the cloud without having to worry about scaling infrastructure. This makes it ideal for big data workloads where data volume can be massive.  The company’s ability to share data across different organizations securely is one of its unique features.. This capability is useful for big data projects where large datasets need to be shared and analyzed collaboratively across teams, industries, or even between different business partners.

In February 2025, Snowflake expanded its AI capabilities by establishing a new Silicon Valley AI Hub and investing $200 million in next-generation startups. This move aims to bolster the company’s position in the AI and data cloud market. Snowflake’s Search product is highly ranked and has significant potential. As Snowflake enhances its data ingestion capabilities, this would drive other applications like insurance underwriting or legal analysis, according to the company. The integration of data engineering with AI technologies opens up new possibilities for its users.

The company expects accelerated growth over the next two quarters, boosted by AI-powered solutions and more efficient partnerships. The company sees Iceberg, a data format that helps manage large-scale data storage and analytics, as a tailwind as it will provide new ways to access data.

Overall, SNOW ranks 5th on our list of best big data stocks to buy according to analysts. While we acknowledge the growth potential of SNOW, our conviction lies in the belief that AI stocks hold great promise for delivering high returns and doing so within a shorter time frame. There is an AI stock that went up since the beginning of 2025, while popular AI stocks lost around 25%. If you are looking for an AI stock that is more promising than SNOW but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock.

READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires.

Disclosure: None. This article is originally published at Insider Monkey.