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 Strategy Incorporated (NASDAQ:MSTR) 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.
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.
