Top Advanced Analytics Companies

Global Advanced Analytics Market size was valued at USD 91.98 Billion in 2024 and is poised to grow from USD 114.33 Billion in 2025 to USD 651.53 Billion by 2033, growing at a CAGR of 24.3% during the forecast period (2026–2033). 

A few huge players dominate the market. However, in recent years, the advent of niche competitors offering solutions tailored to the industry has altered market dynamics. Companies can be observed pursuing mergers, acquisitions, and alliances in order to improve their products and obtain a market advantage. Companies are developing new products and improving existing ones in order to get new clients and expand their market share. RapidMiner, Inc., for example, announced an agreement with Hivecell, an Edge-as-a-Service firm, in 2021. The cooperation aims to enable users to quickly construct and run models with data that streams from the edge. 'IBM (United States) ', 'Microsoft Corporation (United States) ', 'SAP SE (Germany) ', 'Oracle Corporation (United States) ', 'SAS Institute Inc. (United States) ', 'Amazon Web Services Inc. (United States) ', 'Google LLC (United States) ', 'Teradata Corporation (United States) ', 'MicroStrategy Incorporated (United States) ', 'KNIME AG (Switzerland) ', 'FICO (Fair Isaac Corporation) (United States) ', 'Databricks, Inc. (United States) ', 'MathWorks, Inc. (United States)'

With the increasing amount of data being generated, there is a growing need for advanced analytics solutions to derive insights and make informed decisions.

Artificial Intelligence (AI) and Machine Learning (ML) Dominance: AI and ML are emerging as the dominant technologies in advanced analytics. These technologies can help organizations extract insights from complex and unstructured data and automate decision-making processes.

North America represented a significant market share of more than 45% of the globally advanced analytics market. This is due to the availability of supporting infrastructure for the application of cutting-edge analytics, as well as a surge in the usage of advanced technologies like AI and machine learning.