Advanced analytics market projected to hit $184.4 billion by 2031

Advanced analytics is moving from a niche tool to a core enterprise capability as AI, machine learning and cloud adoption reshape how companies make decisions. Allied Market Research says the market will climb from $29.5 billion in 2021 to $184.4 billion by 2031, with healthcare, finance, retail and manufacturing among the biggest users.

Why it matters: - Advanced analytics is becoming a decision-making layer for businesses that need faster forecasting, better risk management and more efficient operations. - The market’s projected jump to $184.4 billion by 2031 signals sustained demand for tools that can turn large, complex datasets into business action. - AI and predictive intelligence are shifting analytics from retrospective reporting to proactive planning.

What happened: - Allied Market Research said the advanced analytics market was valued at $29.5 billion in 2021 and is projected to reach $184.4 billion by 2031. - The firm forecast a 20.2% compound annual growth rate from 2022 to 2031. - The report was published June 8, 2026, from Wilmington, Delaware. - The company made the report brochure available here.

The details: - Advanced analytics combines statistical modeling, machine learning, predictive analytics, artificial intelligence, data mining and visualization. - The market is being pushed by digital transformation, cloud computing, connected devices and rapid growth in enterprise data. - Banking, healthcare, retail, manufacturing, telecommunications, logistics and government are investing in analytics platforms. - Common uses include supply chain management, customer segmentation, fraud detection, predictive maintenance, workforce planning and financial forecasting. - Cloud-based deployment is gaining traction because it offers scalability, flexibility and lower infrastructure costs. - On-premise deployments still hold a significant share because large enterprises need security and compliance controls. - Supply chain analytics remains the largest application area. - Finance is expected to post strong growth as institutions use predictive analytics for risk, fraud, customer intelligence and investment management. - Large enterprises are the dominant user base, while small and midsize businesses are adopting faster as cloud tools become more affordable. - The market includes predictive analytics software, machine learning platforms, data visualization tools, statistical analytics applications, identity analytics systems and forecasting technologies. - The report also flags a related advanced predictive analytics software market as one of the fastest-growing segments. - The advanced visualization market is expanding as businesses want charts, dashboards and interactive reports. - Identity analytics is growing as companies strengthen cybersecurity and digital identity controls. - Advanced market analytics and statistical analytics remain core parts of enterprise analytics stacks. - The report names Adobe, AWS, Databricks, IBM, Microsoft, Oracle, Salesforce, SAP, SAS Institute, Teradata, Altair Engineering, Moody’s Analytics, KNIME, Qlik and RapidMiner among major competitors.

Between the lines: - The report reflects a broader shift from descriptive analytics to predictive and prescriptive systems that can automate parts of decision-making. - Cloud, AI and automation are lowering barriers to entry for smaller firms while also raising competitive pressure on established vendors. - Data privacy, cybersecurity, regulatory compliance and integration complexity remain the main friction points for adoption. - Regional demand appears broad-based, with the U.S., Europe and China all cited as important growth markets.

What’s next: - Allied Market Research expects spending to keep rising on predictive analytics, intelligent automation, customer intelligence and cloud-based analytics platforms. - Generative AI, edge analytics, autonomous decision-making systems and advanced data fabrics are likely to shape the next wave of product development. - Companies that combine analytics with real-time operational workflows may gain the biggest performance advantage.

The bottom line: - Advanced analytics is moving from a support function to a strategic business system, and the market outlook suggests that shift will accelerate over the next decade.