Top 20 Big Data Analytics Software SaaS Companies in May 2026
As of May 2026, there are 20 SaaS companies in Big Data Analytics Software. They have combined revenues of $348.6M and employ 1.8K people. They have raised $1.1B and serve 500.1K customers combined.
Big Data Analytics Software encompasses tools and systems designed to collect, process, and analyze extensive and rapidly changing data sets. These platforms enable organizations to derive meaningful insights from large volumes of structured and unstructured data, facilitating decision-making and strategic planning. Typical use cases include predictive analytics, customer behavior analysis, operational optimization, and trend identification.
Key features of Big Data Analytics Software often include data integration, real-time analytics, machine learning capabilities, and advanced visualization tools. Users typically range across various sectors, including IT, marketing, finance, and operations, with individuals like data scientists, business analysts, and decision-makers engaging with these systems to enhance their organizational intelligence. The ability to analyze data at scale not only informs business strategies but also drives innovation across industries.
Nominal is a data infrastructure and analytics platform helping hardware engineering teams quickly and reliably test and validate critical systems. It powers mission-critical engineering work across aerospace, energy, automotive, and defense with automation, analytics, and operations in one unified solution.
Togglr is a Hybrid Multicloud Digital Services Platform that built on AI technology for migration, disaster recovery and backup, orchestration, and analytics services that enables digital transformation, along with data protection.
Comfac Technology Options (CTO) is one of the leading information technology (IT) companies in the Philippines, offering a full range of technology products, solutions and services, such as, but not limited to Infrastructure as a Service (Private/Public and Hybrid Cloud), Managed Infrastructure Services, Big Data & Analytics and Platform-as-a-Service solutions.
Developer of an in-memory computing software. The company develops an in-memory computing platform that accelerates application performance and enhances operational data analysis.
Developer of continuous monitoring system intended to convert cellular networks big data into real-time valuable insights. The company's system facilitates automated online monitoring of different characteristics of the RF mobile networks relating to RF radiation, spectrum, coverage, and quality-of-service parameters thereby enabling authorities to monitor the real-time and historical locations, movements, and communication activity with improved accuracy, immediacy, and flexibility.
Revenue
$1.2M
Customers
-
Year founded
2009
Funding
-
Team size
12
Growth
115.38%
Inclusion Criteria
- Must provide capabilities for analyzing large and complex data sets
- Must support real-time data processing and analytics
- Must include data visualization tools to present insights effectively
- Must offer integration with other data sources and tools
- Not just traditional reporting; must also enable predictive and prescriptive analytics
- Should allow for machine learning model deployment and management
- Must cater to multiple industries and use cases, including operational, customer, and predictive analytics
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