Generative AI in Pricing Market Revenue to Attain USD 1,335.99 Mn by 2035

Published: 26 Feb 2026

Author: Precedence Research

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Generative AI in Pricing Market Revenue and Trends 2026 to 2035

The global generative AI in pricing market revenue was valued at USD 311.6 million in 2025 and is expected to attain around USD 1,335.99 million by 2035, growing at a CAGR of 311.60% during forecast period.This market is experiencing unprecedented growth, driven by the increasing use of AI for real-time dynamic pricing, market analysis, and automated decision-making.

What are the Factors Boosting the Growth of the Generative AI in Pricing Market?

The growing demand for real-time, personalized, and value-based pricing strategies to maximize revenue is the major driver for the rapid growth of generative AI in pricing market during the forecast period. Generative AI automates the creation of complex pricing reports and reduces manual effort. Generative AI-driven dynamic pricing leverages machine learning (ML) algorithms and large language models (LLMs) to continuously analyze massive datasets, including competitor pricing, sales history, customer behavior, and market signals.

Segment Insights

• By Component type, the software segment held the largest market share in 2025, owing to its ability to integrate AI into existing enterprise workflows and the growing need for real-time dynamic pricing. Software solutions are scalable and are easily integrated with other systems such as CRM and ERP. 
• By Deployment type, the cloud-based segment held a dominant market share in 2025, owing to its various benefits such as scalability, cost-effectiveness, flexibility, and rapid deployment of generative AI pricing solutions. The increasing adoption of cloud platforms by businesses facilitates real-time data processing, smooth integration with existing infrastructure, and the use of advanced AI tools without making significant upfront infrastructure costs.
• By Enterprise size, the large enterprises segment registered its dominance in the market in 2025. Large enterprises often process vast amounts of customer and transactional data, which assists in the implementation of pricing models.
• By Industry type, the retail segment contributed the highest market share in 2025. The rapid expansion of the e-commerce sector is driving the need for fast and scalable pricing solutions. Generative AI assists retailers in personalized pricing, real-time price changes, and promotion planning based on customer behavior and competitor pricing.

Regional Insights

North America dominates the global generative AI in pricing market. The region has a mature digital infrastructure and widespread adoption of cloud computing technology. The region is home to the world's leading technology companies, such as Microsoft Corporation, Oracle Corporation, International Business Machines Corporation (IBM), Salesforce Inc., Zilliant Inc., Vendavo Inc., Perfect Price Inc., Qcue Inc., and others. Several organizations are increasingly deploying generative AI in the region to deliver hyper-personalization. The generative AI allows several businesses across various sectors to simulate multiple pricing strategies to forecast outcomes and minimize risk before implementation.

On the other hand, Asia Pacific is a rapidly growing region for the generative AI in pricing market. The growth of the region is attributed to the expanding digital infrastructure, increasing government & private investment in AI infrastructure, growing demand for personalized & real-time pricing, and widespread adoption in the BFSI, IT, and retail sectors.

Generative AI in Pricing Market Coverage

Recent Developments

• In November 2025, Zilliant, the leader in pricing lifecycle management, announced Zilliant Pricing Plus, a new price management solution that helps B2B companies replace manual, spreadsheet-based pricing with structured, data-driven decisioning. Pricing Plus centralizes pricing operations, accelerates decisions, and drives measurable margin gains by combining a proven pricing framework with AI insights. (Source: https://zilliant.com)

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