Advanced Analytics Market

The advanced analytics market is estimated to be USD 97.17 billion in 2026 and is projected to reach USD 193.23 billion by 2031, registering a CAGR of 14.7%. The market is being driven by a growing set of practical enterprise needs rather than experimental innovation alone. One major driver is the increasing complexity of regulatory and compliance requirements, especially in sectors such as BFSI, healthcare, energy, and government, where organizations must generate auditable, data-backed decisions quickly and consistently. Another driver is the shortage of skilled analytics and data science talent, which is pushing enterprises to adopt platforms that automate modeling, insight generation, and decision workflows to reduce dependency on specialized resources. The market is also driven by the rising demand for explainable and governed analytics, as business leaders and regulators require transparency into how insights and decisions are produced. Together, these drivers are accelerating the adoption of advanced analytics platforms that balance automation with control, trust, and operational reliability.

Advanced analytics vendors are strengthening market presence by building industry-specific analytics solutions that address targeted business problems and speed adoption. They are also expanding partner ecosystems with cloud providers and system integrators to scale deployments, improve integration, and reach a wider enterprise customer base.

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In January 2026, Palantir expanded Gotham’s interoperability and analytics capabilities by aligning it with the broader 2026 platform release enhancements. This includes deeper integration with the Foundry analytics ecosystem, improved data connectivity, model development toolchain updates, ontology-driven analytics workflows, and unified governance features that strengthen real-time analytics and decision support across enterprise use cases.

In November 2025, C3.ai deepened its strategic integration with Microsoft by enhancing native support across Microsoft Copilot, Microsoft Fabric, and Azure AI Foundry. The expanded collaboration allows enterprises to unify reasoning, data, and model operations on the Microsoft Cloud, exposing C3 AI applications and agentic workflows through Copilot and enabling deployment at scale.

Moody’s Analytics

Moody’s Analytics is a leading provider of advanced analytics solutions focused on risk management, financial intelligence, and decision support for regulated and data-intensive industries. Its portfolio includes platforms such as the Moody’s Analytics Risk Platform, CreditLens, and Intelligent Risk Platform, which support credit risk assessment, stress testing, forecasting, and regulatory compliance. Over the past few years, Moody’s Analytics has increasingly embedded machine learning and AI into its solutions to enhance predictive accuracy, automate risk modeling, and improve scenario analysis. The company has also expanded its cloud-based delivery, enabling clients to scale analytics securely while meeting data governance and regulatory requirements. Strategically, Moody’s Analytics continues to strengthen its market position through targeted acquisitions, partnerships with cloud and data providers, and continuous enhancements to its analytics platforms. Its focus on explainable analytics, model transparency, and regulatory alignment helps differentiate it in the advanced analytics market, particularly among banks, insurers, asset managers, and corporates seeking trusted, decision-ready insights.

Salesforce

Salesforce has emerged as a strong player in the advanced analytics market by tightly integrating analytics with its broader CRM and enterprise platform. Its analytics offerings, including Tableau, Tableau Pulse, and Einstein Analytics, enable organizations to analyze customer, sales, marketing, and operational data within business workflows. In recent years, Salesforce has accelerated innovation by embedding AI and generative capabilities through Einstein and Einstein Copilot, allowing users to generate insights, forecasts, and recommendations using natural language. The company continues to invest in product enhancements that improve embedded analytics, real-time insights, and decision automation across its ecosystem. Salesforce has also pursued strategic partnerships with cloud providers, data platforms, and system integrators to expand reach and integration depth. Its strategy focuses on making advanced analytics accessible to business users, driving adoption through ease of use, and positioning analytics as a core layer within customer-centric and enterprise decision processes.

Market Ranking Analysis

IBM, Google, Microsoft, AWS, and Salesforce are widely recognized as the top companies shaping the advanced analytics market due to the scale of their platforms, continuous innovation, and strong partner ecosystems. IBM offers advanced analytics through watsonx, Cognos Analytics, and IBM Cloud Pak for Data, and has strengthened its position with partnerships and targeted acquisitions focused on AI and data governance. Google delivers analytics via BigQuery, Looker, and Vertex AI, supported by deep investments in cloud infrastructure and strategic alliances with enterprises and AI partners. Microsoft leads with Azure Synapse, Fabric, Power BI, and Copilot-driven analytics, backed by frequent product launches and partnerships that expand analytics across industries. Amazon Web Services provides scalable analytics through Redshift, Athena, and SageMaker, and continues to expand capabilities via ecosystem partnerships and service enhancements. Salesforce integrates analytics through Tableau and Einstein, embedding insights directly into CRM workflows, and has expanded reach through partnerships and acquisitions that strengthen AI-led analytics. Together, these companies drive market growth by combining cloud scale, AI innovation, and enterprise-grade analytics.

Related Reports:

Advanced Analytics Market by Offering (Agentic (Copilots, Assistants, Autonomous Analytics Agents), Augmented (Insight Discovery, Automation, Orchestration), Predictive, Prescriptive), Delivery Mode (Cloud & Lakehouse, Edge) - Global Forecast to 2031

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