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.
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13 Best Big Data Stocks to Buy According to Analysts
13. Palantir Techologies Inc. (NASDAQ:PLTR)
Upside Potential: 23.33%
Number of Hedge Fund Holders: 64
Palantir Technologies (NASDAQ:PLTR) is a big data company as it specializes in helping organizations manage, analyze, and make sense of large, complex datasets. The company offers powerful software platforms that allow businesses, governments, and other entities to collect, integrate, and analyze vast amounts of data from various sources to gain valuable insights. The company’s platforms help organizations integrate data from diverse sources, including structured data and unstructured data. This is essential for making sense of large, varied datasets.
The company experienced a 36% year-over-year revenue growth in Q4 2024, driven by a 52% increase in its U.S. business, with commercial revenue rising 64%. Palantir’s AI platform (AIP) was a major driver of new customer acquisition and expansion, especially in the U.S. commercial sector. The company closed significant deals, including $1.8 billion in total contract value (TCV), marking a 56% increase from the previous year. Palantir Technologies (NASDAQ:PLTR) saw a solid adjusted operating margin of 45%. The company also provided strong guidance for 2025, with a forecast of $3.75 billion in revenue, reflecting a 31% year-over-year increase.
On February 20, Loop Capital initiated the stock with a Buy rating and a price target of $141. Loop Capital highlighted the company’s differentiated AI data platform, which uses an ontology-based framework to make AI-driven decision-making more intuitive for its customers.
12. Tyler Technologies, Inc. (NYSE:TYL)
Upside Potential: 34.57%
Number of Hedge Fund Holders: 44
Tyler Technologies, Inc. (NYSE:TYL) is another big data company. It focuses on providing software solutions that help local governments, schools, and other public sector entities. It helps them manage, analyze, and leverage large volumes of data. The company has been expanding its cloud offerings, which are ideal for handling large-scale data storage and processing. The company’s cloud-based platforms enable local governments and public institutions to scale their data management capabilities as their data grows.
In 2024, Tyler Technologies, Inc. (NYSE:TYL) continued to strengthen its financial position amidst high interest rates. The company paid off its remaining debt from the NIC acquisition, reducing net leverage to zero by year-end. Tyler is also making strategic investments in AI, focusing on productivity, decision-making, and service delivery, with plans to incorporate AI features in all its major product roadmaps by the end of 2024. The company is collaborating with AI vendors like AWS, Microsoft, and Google to leverage their strengths in the public sector space. It is also making strategic investments in AI, focusing on productivity, decision-making, and service delivery, with plans to incorporate AI features in all its major product roadmaps by the end of 2024.
On March 26, 2025, MarketBeat reported that Keystone Investors PTE Ltd. raised its position in Tyler Technologies by 1,015.6% in the fourth quarter of 2024, now owning 3,871 shares valued at approximately $2.23 million.
11. NICE Ltd. (NASDAQ:NICE)
Upside Potential: 35.96%
Number of Hedge Fund Holders: 28
NICE Ltd. (NASDAQ:NICE) is a big data company that leverages data to provide advanced solutions in areas like customer experience, analytics, and AI-driven insights. The company specializes in using large volumes of data to improve business processes, customer experiences, and operational efficiency. Its solutions gather vast amounts of data from customer interactions. NICE Ltd. (NASDAQ:NICE) utilizes big data technologies to deliver real-time analytics, predictive insights, and AI-powered decision-making tools.
The company reported a solid 25% year-over-year growth in cloud revenue for the full year of 2024, reaching $2 billion. This growth is attributed to strong performances across various sectors, including renewals, add-ons like Copilot and GitHub Copilot, and significant Azure commitments. It has recently made significant advancements in integrating artificial intelligence (AI) into its offerings. The company expanded its CXone Mpower platform, introducing advanced services designed to automate customer service processes and seamlessly integrate workflows across various business operations. These developments underscore NICE’s commitment to leveraging big data and AI technologies to enhance customer experience solutions and solidify its position as a leader in the industry.
10. Microsoft Corporation (NASDAQ:MSFT)
Upside Potential: 39.72%
Number of Hedge Fund Holders: 317
Microsoft Corporation (NASDAQ:MSFT) is a significant player in the big data space because of its comprehensive offerings and role in the broader data ecosystem. Microsoft’s Azure is one of the leading cloud computing platforms, and it plays a major role in big data analytics. Azure provides a variety of tools and services that help organizations store, process, and analyze vast amounts of data. The tech giant’s Power BI is a business analytics tool that helps organizations visualize and share insights from their data. It can connect to a wide variety of data sources, including big data platforms, and is used to analyze and make sense of large datasets.
Microsoft Corporation (NASDAQ:MSFT) posted a revenue of $69.6 billion, up 12% year-over-year for the second quarter of its fiscal year 2025, driven by Azure. Revenue from the cloud platform hit $40.9 billion, a 21% increase year-over-year. However, over the past six months, the company has canceled data center projects totaling 2 gigawatts of electricity capacity in the U.S. and Europe, according to a report by Bloomberg. This decision stems from an oversupply of data center capacity relative to its demand forecasts, leading to a reduction in support for additional training workloads from partners like OpenAI. That said, Azure is likely to continue to grow. The rise of IoT and real-time data processing is pushing demand for edge computing, and Azure is investing in this area. Azure’s Edge services, combined with AI and machine learning at the edge, are allowing businesses to process data closer to where it’s generated, improving latency and efficiency.
9. Alphabet Inc. (NASDAQ:GOOGL)
Upside Potential: 49.91%
Number of Hedge Fund Holders: 234
Alphabet Inc. (NASDAQ:GOOGL), Google’s parent company, is considered a big data company because it owns and operates several major services and platforms that generate, collect, store, and analyze vast amounts of data. The company’s core business revolves around Google, which handles billions of search queries every day. The data generated through these searches is essential for improving search algorithms, understanding user behavior, and personalizing results. Its advertising services, primarily through Google Ads, rely heavily on big data. Alphabet’s Google Cloud offers a suite of big data services that help businesses analyze large datasets, manage cloud storage, and utilize machine learning tools.
Alphabet’s focus on AI infrastructure and product innovation is seen as a key area of growth, particularly as demand for AI solutions in the cloud grows. The integration of AI in Google Search, such as through AI-powered overviews, is reshaping the search experience. By utilizing large datasets and advanced AI, Google is offering more insightful and relevant search results, improving user engagement and satisfaction. Alphabet Inc. (NASDAQ:GOOGL) continues to enhance Google Cloud to support big data analytics. Tools like BigQuery, a fully managed data warehouse, allow companies to run large-scale data analyses quickly and cost-effectively.
8. Rubrik, Inc. (NYSE:RBRK)
Upside Potential: 50.89%
Number of Hedge Fund Holders: 41
Rubrik, Inc. (NYSE:RBRK) is considered a big data company given its role in managing and protecting vast amounts of data across multiple environments. While the company is primarily known for its cloud data management and data protection solutions, it plays a significant role in the broader “big data” ecosystem. Rubrik, Inc. (NYSE:RBRK) provides efficient backup and recovery solutions for massive amounts of data across different platforms, ensuring that large datasets are continuously protected and recoverable in case of failures, disasters, or breaches.
The company has recently signed a deal with IT services giant NTT Data for its cyber-resilience services. The two companies have been in alliance with each other for some time. They have now signed an alliance related to security services. This is likely to boost Rubrik’s revenue.
In its fourth quarter of the previous year, Rubrik, Inc. (NYSE:RBRK) reported a loss of $0.18 per share, an improvement from the prior year’s $1.52 loss and above analyst expectations of a $0.39 loss. Revenue increased by 47% to $258.1 million, surpassing estimates. For the year, the company reported revenue of $886.54 million, a robust growth of 41.19% year-over-year. For the current fiscal year, the company projects revenue between $1.145 billion and $1.161 billion.
7. Amazon.com, Inc. (NASDAQ:AMZN)
Upside Potential: 54.06%
Number of Hedge Fund Holders: 339
Amazon.com, Inc. (NASDAQ:AMZN) is a major player in the world of big data, with several initiatives and technologies that enable it to harness and process vast amounts of data. Amazon’s cloud computing arm, AWS, is at the heart of its big data strategy. Amazon Web Services (AWS) provides a wide range of services that help businesses and developers manage, store, and analyze massive amounts of data. Amazon’s e-commerce platform generates massive amounts of data from user activity, transactions, and behavior on its website. Amazon.com, Inc. (NASDAQ:AMZN) uses AI and machine learning extensively across its business operations, and big data plays a crucial role in this.
Amazon.com, Inc. (NASDAQ:AMZN) has recently made significant advancements in big data. Amazon plans to invest approximately $150 billion over the next 15 years in data centers to support the growing demands of AI applications. This substantial investment aims to bolster Amazon’s cloud computing capabilities, ensuring robust infrastructure for AI workloads. AWS continues to enhance its big data offerings. These developments underscore the tech behemoth’s strategic focus on expanding its big data and AI capabilities, aiming to enhance its services and maintain a competitive position in the evolving tech landscape.
6. Nutanix, Inc. (NASDAQ:NTNX)
Upside Potential: 55.24%
Number of Hedge Fund Holders: 51
Nutanix, Inc. (NASDAQ:NTNX) is considered relevant in the big data space primarily due to its role in providing a hyper-converged infrastructure (HCI) platform designed to handle the scalability, storage, and computational needs of big data environments. The company’s HCI allows businesses to scale their IT resources easily and efficiently. Big data environments require significant scalability for processing large volumes of data. The company’s platform can grow and scale up without the complexities of traditional infrastructure, making it ideal for big data workloads.
Nutanix, Inc. (NASDAQ:NTNX) recent earnings report saw the stock pop. The company’s earnings for the quarter that ended on January 31, 2025 were 56 cents a share on an adjusted basis vs. 46 cents a year earlier. It also beat analysts’ expectations of 47 cents. The revenue for the quarter grew 15.8% on a year-over-year basis. On February 27, RBC maintained its Outperform rating on the stock. It increased the price target for the stock from $85 to $93. RBC was impressed by the company’s earnings, highlighting the company’s accelerating Annual Recurring Revenue (ARR) and customer acquisitions.
5. 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.
4. Zebra Technologies Corporation(NASDAQ:ZBRA)
Upside Potential: 72.27%
Number of Hedge Fund Holders: 45
Zebra Technologies Corporation (NASDAQ:ZBRA) specializes in providing solutions that enable businesses to capture, analyze, and act on data in real time. While it is primarily known for its products in the areas of barcode printing, RFID technology, and asset tracking, it has increasingly become a leader in IOT and data-driven solutions, which are integral to the big data ecosystem. Zebra’s products, like barcode scanners and RFID readers, among others, are used to collect vast amounts of real-time data from assets, products, and people. Zebra offers analytics and software solutions that process and analyze the data collected from its devices.
Zebra Technologies Corporation (NASDAQ:ZBRA) delivered strong Q4 2024 results with sales surpassing $1.3 billion, a 32% year-over-year increase. The growth was driven by a recovery in demand across product categories, with retail sector spending particularly strong. The company sees AI as a significant opportunity, particularly for empowering frontline workers. The company collects data at the frontline, which feeds AI models, and integrates AI in various solutions, like machine vision and optical character recognition. It has also demonstrated generative AI capabilities, such as its AI suite for mobile computing and Zebra Companions, a digital assistant for frontline workers. This AI integration is likely to drive premium hardware sales, market share, and recurring software revenues, according to the company.
3. Datadog, Inc. (NASDAQ:DDOG)
Upside Potential: 81.41%
Number of Hedge Fund Holders: 83
Datadog, Inc. (NASDAQ:DDOG) is considered a big data company because it specializes in collecting, processing, and analyzing massive volumes of data generated by cloud infrastructure, applications, and services. The company processes large streams of data in real time, which allows businesses to monitor and respond to system performance, security threats, and other operational metrics instantly. Datadog, Inc. (NASDAQ:DDOG) operates in cloud-native environments, where data is often decentralized across many systems. To make sense of large data sets, it incorporates machine learning and advanced analytics.
The company’s Q$ 2024 revenue reached $738 million, a 25% year-over-year increase, exceeding expectations. This was on the back of a customer base increase to 30,000, up from 27,300 the previous year, with significant expansion in high-value customers. Datadog, Inc. (NASDAQ:DDOG) gave strong guidance for the current year. Full-year 2025 revenue guidance is $3.175B to $3.195B, reflecting 18%-19% growth. Datadog, Inc. (NASDAQ:DDOG) is accelerating its sales capacity after a slower start in 2024. The company is also focused on improving product adoption and customer success.
Last month, TD Cowen reaffirmed a Buy rating on the company with a $165 price target. TD Cowen analyst Andrew Sherman highlighted the robust revenue growth in Q4, and notable bookings of $1 billion. According to Sherman, the optimism around AI-native systems, log solutions, and sales expansion indicate further growth.
2. MongoDB Inc. (NASDAQ:MDB)
Upside Potential: 103.56%
Number of Hedge Fund Holders: 70
MongoDB Inc. (NASDAQ:MDB) is a big data solution due to several key features that align with the demands of handling large-scale, complex datasets. MongoDB Inc. (MDB) provides a powerful aggregation framework that supports real-time data processing and analytics. This feature is crucial for extracting insights from large datasets in big data applications. The company is designed to scale horizontally, allowing it to manage vast amounts of data across distributed systems. As a NoSQL database, MongoDB supports a flexible, schema-less data model.
On February 24, 2025, MongoDB Inc. (NASDAQ:MDB) acquired Voyage AI for $220 million. This acquisition aims to bolster MongoDB’s AI search capabilities, addressing challenges like AI “hallucinations” through advanced rerankers and embedding models, according to the company. Voyage AI is a pioneer in state-of-the-art embedding and reranking models and powers next-gen AI applications. According to the company, its new acquisition’s advanced embedding and reranking models allow applications to extract meaning from highly specialized, domain-specific text and unstructured data.
1. Strategy Incorporated (NASDAQ:MSTR)
Upside Potential: 105.12%
Number of Hedge Fund Holders: 44
Strategy Incorporated (NASDAQ:MSTR) is a big data analytics platform due to its robust capabilities in handling and analyzing large volumes of data. It enables organizations to process vast datasets efficiently, providing tools for data discovery, advanced analytics, and interactive dashboards. Strategy’s integration with big data technologies, such as Apache Hadoop, allows it to manage and analyze data stored across distributed systems.
Maxim Group increased the company’s price target to $500 from $480, while keeping a “Buy” rating after it announced a rebranding from Microstrategy to Strategy, which the firm thinks is better aligned with the company’s dual focus as a Bitcoin treasury company and a business intelligence software company. Between March 17 and March 23, Strategy Incorporated (NASDAQ:MSTR) acquired an additional 6,911 Bitcoins for $584 million, bringing its total holdings to over 500,000 Bitcoins. This positions MicroStrategy as the largest corporate holder of Bitcoin, with holdings valued at approximately $45 billion.
On the big data front, Strategy Incorporated (NASDAQ:MSTR) recently partnered with STACKIT to introduce the MicroStrategy Sovereign European Cloud. This collaboration aims to provide highly regulated European businesses with Strategy’s cloud-native AI/BI solutions, facilitating data-driven decision-making while ensuring compliance with local data sovereignty requirements.
While we acknowledge the growth potential of MSTR, 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 MSTR 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.
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