Top 21 Predictive Analytics for Retail Companies to Watch in 2025 and Beyond
Discover the Key Players Shaping Predictive Analytics in Retail: Exclusive Insights from the Latest Market Competitive Analysis
As retailers worldwide accelerate their digital transformation, understanding which companies are driving predictive analytics innovation is critical. This guide highlights 21 leading predictive analytics for retail companies that are redefining how retailers personalize experiences, optimize inventory, and future-proof their businesses. Get an in-depth market breakdown and actionable strategy by accessing the full Predictive Analytics for Retail Market by Offering, Data Type, Application, End-Use, Usage - Global Forecast to 2030 report.
21 Leading Predictive Analytics for Retail Companies
Below are the industry top players that combine artificial intelligence, advanced analytics, and scalable platforms to transform retail market strategies. Explore their unique strengths and specialization as highlighted in the latest competitive analysis.
1. Alteryx, Inc.
Alteryx empowers retailers to unlock insights from even the most complex data with its unified analytics platform. Known for intuitive workflow automation, Alteryx helps retail teams to rapidly build predictive models for demand forecasting, pricing optimization, and customer segmentation, enhancing operational efficiency.
2. Amazon.com, Inc.
As both a retailer and a leader in cloud analytics, Amazon leverages predictive analytics at scale to optimize logistics, recommend products, and personalize user experiences. Its AWS portfolio empowers retailers globally with advanced AI-driven solutions for inventory management and real-time market response.
3. C3.ai, Inc.
C3.ai specializes in delivering enterprise AI applications tailored for high-impact predictive analytics, particularly in retail supply chains. Its platform enables rapid scenario modeling and real-time decision support, crucial for retailers navigating market volatility and dynamic consumer behaviors.
4. Cloudera, Inc.
Cloudera offers end-to-end data management and analytics solutions that support both structured and unstructured retail data. Its platform accelerates data-driven merchandising, personalized marketing, and omnichannel optimization for global retailers seeking agility in a fast-evolving landscape.
5. Databricks, Inc.
Databricks brings unified data engineering and AI to retail, enabling advanced analytics from data lake to storefront. Retailers use Databricks for scalable machine learning models that optimize product assortments, anticipate demand, and fuel hyper-personalization strategies.
6. Endava
Endava integrates predictive analytics into retailers’ digital transformation initiatives, with strengths in seamless technology adoption and agile development. Endava positions its clients to leverage predictive insights across digital marketing, customer engagement, and personalized shopping experiences.
7. Hitachi Solutions
Hitachi Solutions leverages industry-specific expertise to implement predictive analytics for retail operational resilience. Their tailored solutions support everything from dynamic pricing to supply chain risk management, allowing retailers to stay ahead of shifts in consumer demand.
8. IBM Corporation
IBM’s robust AI and data analytics offerings empower retailers with sophisticated demand forecasting, fraud detection, and customer analytics. Its hybrid cloud and edge analytics accelerate time-to-insight, promoting smarter merchandising and seamless omnichannel experiences.
9. KPMG International Limited
KPMG brings strategic consulting together with advanced analytics platforms to help retailers embed predictive insights into core business processes. The firm enables retailers to move from reactive decision-making to proactive strategies aligned with global market trends.
10. Manthan Systems Private Limited
Specializing in retail analytics, Manthan delivers AI-powered platforms that simplify customer targeting, inventory planning, and sales forecasting. Its scalable solutions ensure rapid insights that influence real-time retail decisions and sustainable growth.
11. Mastech InfoTrellis, Inc.
Mastech InfoTrellis offers data engineering and analytics services, helping retailers consolidate siloed data for comprehensive predictive modeling. Their expertise lies in integrating multi-source data to enhance demand planning and personalized marketing.
12. Microsoft Corporation
Microsoft enables enterprise-scale predictive analytics through Azure and Dynamics 365, allowing retailers to modernize everything from merchandising to customer engagement. Its AI services drive agility and data-driven innovation across global retail chains.
13. Oracle Corporation
Oracle’s cloud-based retail analytics suite empowers retailers with tools for end-to-end predictive modeling, pricing strategy, and customer journey insights. Its data-driven approach enables faster response to digital retail market trends and consumer expectations.
14. QlikTech International AB
QlikTech specializes in active intelligence and visual analytics for retailers, fostering real-time insights that support inventory optimization, dynamic pricing, and personalized promotions. Its agile platforms help retailers align with emerging data-driven trends.
15. Salesforce.com, Inc.
Salesforce merges CRM with AI-driven predictive analytics, giving retailers the capability to anticipate customer preferences, optimize campaigns, and streamline omnichannel experiences. Its platforms enable loyalty-building through hyper-personalized engagement.
16. SAP SE
SAP supports predictive analytics for retail with a comprehensive suite integrating supply chain, sales, and customer analytics. Retailers turn to SAP to harmonize omnichannel operations, adapt to shifting consumer demands, and drive profitability through strategic insight.
17. SAS Institute Inc.
SAS is renowned for advanced statistical analytics and machine learning that empower retail organizations with accurate forecasting, fraud prevention, and tailored recommendations. Its solutions facilitate competitive advantage with deep, actionable insights.
18. Teradata Corporation
Teradata delivers powerful analytics platforms for managing and extracting value from massive retail data sets. The company’s solutions empower rapid scenario simulation and high-speed predictive modeling for inventory, marketing, and workforce optimization.
19. ThoughtSpot Inc.
ThoughtSpot focuses on natural language search-driven analytics, democratising predictive insights across retail organizations. Retailers leverage its platforms to empower frontline teams with rapid access to key metrics and adaptive decision-making tools.
20. TIBCO Software Inc.
TIBCO offers integration and analytics solutions that connect disparate retail data sources to power predictive insights. Its portfolio accelerates store merchandising, real-time supply chain response, and personalized customer engagement on a global scale.
21. Wipro Limited
Wipro combines deep industry knowledge with advanced analytics services, helping retailers modernize business intelligence, reduce cycle times, and achieve seamless omnichannel operations. Its solutions align with evolving market dynamics and consumer expectations.
Conclusion: Access the Full Predictive Analytics for Retail Market Insights
As predictive analytics transforms the retail marketplace, these 21 industry top players are at the forefront of market trends, digital innovation, and competitive strategy. For an in-depth competitive analysis, rich market segmentation, and actionable strategic guidance through 2030, download the comprehensive Predictive Analytics for Retail Market by Offering, Data Type, Application, End-Use, Usage - Global Forecast to 2030 report today.