Artificial Intelligence (AI)-Driven Price Optimization Market Global Report 2026

The artificial intelligence (AI)-driven price optimization market size has grown rapidly in recent years. It will grow from $2.61 billion in 2025 to $3.05 billion in 2026 at a compound annual growth rate (CAGR) of 16.9%. The growth in the historic period can be attributed to growth of e commerce platforms, increasing adoption of digital payment systems, rising competition in retail pricing, expansion of enterprise data analytics usage, increasing internet penetration and digital consumer behavior tracking.

The artificial intelligence (AI)-driven price optimization market size is expected to see rapid growth in the next few years. It will grow to $5.61 billion in 2030 at a compound annual growth rate (CAGR) of 16.5%. The growth in the forecast period can be attributed to expansion of AI enabled revenue management systems, rising demand for real time pricing intelligence, growth of omnichannel retail ecosystems, increasing adoption of predictive analytics in pricing strategies, expansion of automated decision making in enterprise pricing models. Major trends in the forecast period include real time dynamic pricing automation across digital commerce platforms, hyper personalized pricing based on customer behavioral analytics, competitor price tracking and automated market response systems, subscription based pricing optimization and revenue management models, predictive demand forecasting for price elasticity optimization.

The expansion of e-commerce and digital retail is expected to propel the growth of the artificial intelligence (AI)-driven price optimization market going forward. E-commerce and digital retail refer to the buying and selling of goods and services through online platforms and digital channels, enabling businesses to reach consumers through websites, mobile applications, and online marketplaces. The expansion of e-commerce and digital retail is driven by increasing internet penetration, rising smartphone usage, and growing consumer preference for convenient online shopping experiences. Artificial intelligence-driven price optimization supports digital retail businesses by enabling real-time pricing adjustments, improving customer targeting, and maximizing revenue through data-driven pricing strategies. For instance, in February 2025, according to the Census Bureau, a US-based federal statistical agency, retail e-commerce sales reached $308.9 billion in the fourth quarter of 2024, representing a 9.4% increase compared to the fourth quarter of 2023. Therefore, the expansion of e-commerce and digital retail is driving the growth of the artificial intelligence (AI)-driven price optimization market.

Key companies operating in the artificial intelligence (AI)-driven price optimization market are focusing on developing innovative solutions, such as AI-based marketplace-specific pricing systems to enhance revenue growth, improve competitive positioning, and maximize profit margins across e-commerce platforms. AI-based marketplace-specific pricing systems are machine learning tools designed for specific e-commerce platforms that analyze real-time demand, competitor prices, and customer behavior to automatically adjust product prices, helping improve revenue, competitiveness, and profit margins. For example, in September 2025, Feedvisor Inc., a US-based AI commerce optimization company, launched the first AI-powered dynamic pricing engine specifically designed for Walmart’s marketplace. The platform enables real-time price adjustments tailored to Walmart’s unique algorithm and customer behavior patterns, helping sellers optimize Buy Box ownership and improve sales velocity. It also includes built-in profitability safeguards and suppression protection features that prevent unprofitable pricing decisions while maintaining competitive positioning. Additionally, the solution leverages AI-driven demand forecasting and competitive intelligence to support strategic pricing decisions across large product catalogs.

In September 2023, Centric Software Inc., a US-based enterprise software company, acquired aifora GmbH for an undisclosed amount. Through this acquisition, Centric Software Inc. aimed to enhance its retail planning and product lifecycle management ecosystem by incorporating AI-driven predictive pricing and inventory optimization capabilities, thereby enabling brands and retailers to improve margins, reduce discounting, and make more data-driven merchandising decisions throughout the product lifecycle. aifora GmbH is a Germany-based retail technology company that specializes in AI-powered predictive pricing, inventory management, and merchandising optimization solutions.

Major companies operating in the artificial intelligence (AI)-driven price optimization market are Microsoft Corporation; International Business Machines Corporation (IBM); Oracle Corporation; Salesforce Inc.; SAP SE; o9 Solutions Inc.; Vistex Inc.; RELEX Solutions Oy; Syncron AB; Pricefx GmbH; Vendavo Inc.; Vistaar Technologies Inc.; DataWeave Software Private Limited; Wiser Solutions Inc.; Intelligence Node Inc.; Feedvisor Inc.; Prisync Yazılım Ticaret A.Ş.; Competera Pricing Platform LLC; WebDataGuru Private Limited; Skuuudle ApS; Omnia Retail B.V.; Quicklizard Ltd.; PriceEdge AB.

North America was the largest region in the artificial intelligence (AI)-driven price optimization market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI)-driven price optimization market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI)-driven price optimization market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-driven price optimization market includes revenues earned by entities by providing services such as AI and machine learning software platforms, pricing analytics tools, predictive modeling solutions, cloud-based pricing engines, integration and deployment services, data management and processing services, customization and configuration of pricing algorithms, consulting and advisory services, and ongoing support and maintenance. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

The artificial intelligence (AI)-driven price optimization market research report is one of a series of new reports that provides artificial intelligence (AI)-driven price optimization market statistics, including artificial intelligence (AI)-driven price optimization industry global market size, regional shares, competitors with a artificial intelligence (AI)-driven price optimization market share, detailed artificial intelligence (AI)-driven price optimization market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-driven price optimization industry. This artificial intelligence (AI)-driven price optimization market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

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