Artificial Intelligence (AI)-Driven eBay Price Optimization Market Report 2025

The artificial intelligence (AI)-driven eBay price optimization market size has grown exponentially in recent years. It will grow from $1.37 billion in 2024 to $1.69 billion in 2025 at a compound annual growth rate (CAGR) of 22.9%. The growth observed during the historical period was driven by a surge in retail transactions, a stronger focus on data-informed decision-making, heightened marketplace competition, greater investment in digital transformation initiatives, and the rapid expansion of e-commerce activities.

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 $3.81 billion in 2029 at a compound annual growth rate (CAGR) of 22.6%. The projected growth during the forecast period is expected to be driven by the rising demand for dynamic pricing solutions, advancements in AI and machine learning technologies, the need for real-time pricing capabilities, efforts to improve customer experience, and broader adoption of digital tools. Key trends in this period include the integration of AI-powered pricing systems with other e-commerce technologies, the emergence of edge computing and hybrid cloud platforms, development of advanced machine learning models, AI-based price forecasting, and alignment with multi-channel retail strategies.

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 players 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, and Metaprice.

North America was the largest region in the artificial intelligence (AI)-driven eBay price optimization market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-driven eBay price optimization report are Asia-Pacific, 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, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the retail and wholesale sector, particularly in sourcing, inventory management, and pricing strategies. Higher duties on imported consumer goods including electronics, apparel, furniture, and packaged foods have raised procurement costs for retailers and wholesalers, compelling many to either increase prices for end consumers or absorb losses. Small and mid-sized businesses with limited pricing power are especially vulnerable, often facing squeezed margins and reduced competitiveness. Inventory cycles are also disrupted as firms grapple with delays and uncertainty in international supply chains. Additionally, retaliatory tariffs in foreign markets have curtailed export opportunities for U.S. brands, limiting revenue growth. In response, companies are shifting toward domestic and regional suppliers, investing in supply chain resilience, and adopting data-driven demand forecasting to navigate cost volatility and maintain customer satisfaction.

AI-powered eBay price optimization involves leveraging machine learning and predictive analytics to automatically set and adjust product prices. By examining market trends, buyer behavior, competitor pricing, and demand fluctuations, sellers can optimize sales, improve profitability, and stay competitive in the eBay marketplace. This approach is particularly useful for those aiming to boost revenue efficiency and conversion rates in a constantly changing online environment.

Key elements of AI-based eBay price optimization include specialized software and supporting services. The software employs artificial intelligence to track competitor activity, assess market conditions, and update product prices in real time, helping sellers maximize profits and market presence. These tools can be hosted in the cloud or on-premises and are utilized by a range of users, from individual sellers and retailers to small, medium, and large enterprises.

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

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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