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

The artificial intelligence (AI)-driven ebay price optimization market size has grown exponentially in recent years. It will grow from $1.69 billion in 2025 to $2.07 billion in 2026 at a compound annual growth rate (CAGR) of 22.5%. The growth in the historic period can be attributed to growing e-commerce adoption, increasing number of online sellers, manual pricing inefficiencies, rise in data availability, early AI integration in retail.

The artificial intelligence (AI)-driven ebay price optimization market size is expected to see exponential growth in the next few years. It will grow to $4.67 billion in 2030 at a compound annual growth rate (CAGR) of 22.6%. The growth in the forecast period can be attributed to expansion of cross-border e-commerce, adoption of machine learning-powered tools, enhanced buyer behavior analytics, integration with multi-platform marketplaces, rising need for pricing optimization in competitive markets. Major trends in the forecast period include dynamic pricing algorithms, competitor price monitoring, predictive demand analytics, real-time market adjustments, automated repricing solutions.

The growth of e-commerce is expected to significantly boost the artificial intelligence (AI)-driven eBay price optimization market. E-commerce involves buying and selling products and services online, utilizing digital platforms, electronic payments, and virtual marketplaces to facilitate smooth transactions. Its rapid expansion is largely fueled by the convenience it offers, allowing consumers to shop for a wide variety of products anytime and anywhere. This shift in consumer behavior has increased reliance on digital channels. AI-driven eBay price optimization supports this trend by enabling competitive and flexible pricing strategies that attract buyers and increase sales. In August 2025, the US Census Bureau reported that retail e-commerce sales in the country reached $304.2 billion in the second quarter, marking a 1.4% rise from the previous quarter and a 5.3% increase compared to the same period in 2024. E-commerce accounted for 16.3% of total retail sales, surpassing the overall retail sales growth of 3.9% during the same timeframe, highlighting its role in driving AI-based price optimization solutions.

Companies in the AI-driven eBay price optimization market are introducing advanced AI-powered pricing tools to boost revenue and improve profit margins. These tools use machine learning algorithms and data analytics to predict demand, assess pricing scenarios, and recommend optimal prices for better business outcomes. For example, in August 2024, US-based Algomus, Inc., a provider of AI supply chain solutions, launched Algo Price Planner. This tool helps retailers make faster, more accurate pricing decisions by analyzing historical data, competitor pricing, and point-of-sale insights. It aims to reduce markdowns, increase profitability, and provide predictive insights into the effects of different pricing strategies, enhancing overall business performance.

In February 2024, Tech Mahindra Limited, an Indian IT services provider, partnered with US-based Competera to integrate AI into retail price optimization. This collaboration focuses on delivering AI-powered pricing solutions that enhance efficiency and support retailers in achieving higher profitability and competitiveness through real-time pricing intelligence.

Major companies operating in the artificial intelligence (AI)-driven ebay price optimization market are ChannelAdvisor Corp., Wiser Solutions Inc., Feedvisor Ltd., Intelligence Node, Prisync, COMPETERA Ltd., xSellco Ltd., SellerActive Inc., AutoDS, BlackCurve Solutions Ltd., Omnia Retail, Aimondo AG, Algopix, Vendrive Inc., Boardfy Pricing SL, RepricerExpress, StreetPricer Pty Ltd., Dealavo Co., PriceYak, Intelis AI, Metaprice.

North America was the largest region in the artificial intelligence (AI)-driven eBay 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 ebay price optimization market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the artificial intelligence (AI)-driven ebay 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 eBay price optimization market consists of revenues earned by entities by providing services such as custom integration services, system configuration services, data cleansing and enrichment services, performance optimization services, and marketplace strategy advisory. 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.

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