Featuring market attractiveness scoring, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, deeper supply chain intelligence, emerging startup tracking, and granular product-level insights, The Business Research Company’s 2026 market reports are built to deliver research that is both more actionable and more strategically valuable.
#Cold Start Recommendation Artificial Intelligence (AI) Market Growth Potential: How Will Market Size Shift Through 2030?#_x000D_
The cold start recommendation artificial intelligence (AI) market has experienced substantial expansion in recent years. It will grow from $1.55 billion in 2025 to $1.98 billion in 2026 at a compound annual growth rate (CAGR) of 27.4%. This past growth can be attributed to several factors, including the proliferation of new digital platforms with limited user data, a heightened reliance on personalization for user engagement, the widespread expansion of e-commerce and streaming platforms, the early adoption of recommendation engines, and the increasing availability of user attribute data._x000D_
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The cold start recommendation artificial intelligence (AI) market is anticipated to experience rapid expansion over the coming years. This market is projected to reach a size of $5.25 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 27.7%. This projected growth is driven by several factors, including the expanded implementation of AI-powered personalization systems, a heightened need for accurate real-time recommendations, broader use of cross-platform data, an increase in the adoption of privacy-centric recommendation models, and greater investments in optimizing advanced AI models. Key trends during this period encompass the growing popularity of hybrid recommendation models, an increased application of context-aware onboarding strategies, the wider integration of transfer learning across various domains, the development of more comprehensive user and item profiling solutions, and a stronger emphasis on improving cold start performance._x000D_
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#Cold Start Recommendation Artificial Intelligence (AI) Market Demand Drivers: What’s Powering Industry Growth?#_x000D_
The increasing need for customized user experiences is anticipated to drive the future expansion of the cold start recommendation artificial intelligence (AI) market. Customized user experiences involve adapting interactions, content, or suggestions to an individual’s preferences and actions. The rise in personalized user experiences stems from the widespread adoption of AI and data analytics, which enable real-time comprehension of individual user preferences and behaviors. Cold start recommendation AI assists in delivering personalized user experiences by accurately forecasting relevant suggestions for new users with limited interaction history. For example, in February 2025, information from SAP SE, a Germany-based software company, revealed that in 2024, 64% of U.S. shoppers reported that AI has improved their retail experiences, reflecting a 25% increase in positive sentiment compared to 2023. Hence, the growing demand for personalized user experiences is projected to stimulate the growth of the cold start recommendation artificial intelligence (AI) market._x000D_
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#Cold Start Recommendation Artificial Intelligence (AI) Market Segment Trends And Revenue Contributors#_x000D_
The cold start recommendation artificial intelligence (AI) market covered in this report is segmented – _x000D_
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1) By Component: Software; Hardware; Services_x000D_
2) By Deployment Mode: Cloud Based; On Premises; Hybrid Cloud; Other Deployment Modes_x000D_
3) By Enterprise Size: Small And Medium Enterprises (SMEs); Large Enterprises_x000D_
4) By Application Industry: E Commerce And Retail; Media And Entertainment (Streaming); Social Media; Travel And Hospitality; Other Application Industries_x000D_
5) By End User: Retailers; Online Platforms; Content Providers; Financial Institutions; Other End Users_x000D_
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Subsegments:_x000D_
1) By Software: Content Based Recommendation Software; Hybrid Recommendation Software; Context Aware Recommendation Software; User Profiling And Segmentation Software; Model Training And Evaluation Software_x000D_
2) By Hardware: Central Processing Units (CPU); Graphics Processing Units (GPU); High Performance Computing Servers; Edge Computing Devices_x000D_
3) By Services: Integration And Deployment Services; Consulting And Strategy Services; Maintenance And Support Services; Training And Education Services; Managed Recommendation Services_x000D_
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#Cold Start Recommendation Artificial Intelligence (AI) Market Innovation Trends: What Developments Are Reshaping The Industry?#_x000D_
Leading companies within the cold start recommendation artificial intelligence (AI) market are focusing on implementing real-time, context-aware recommendation engines, including semantic search and embedding-based recommendation models, to provide pertinent personalization for new users and content without depending on past interaction data. Context-aware recommendation engines are AI systems that produce personalized recommendations by utilizing real-time contextual indicators like user intent, location, device, session behavior, and content attributes, rather than exclusively relying on historical interaction data. As an example, in November 2023, Google LLC, a US-based technology company, unveiled enhanced Vertex AI Search capabilities for media and entertainment organizations. This solution employs generative AI to understand video, audio, and text content, facilitates semantic search across extensive media catalogs, and delivers personalized content recommendations in scenarios with limited data. These capabilities assist media platforms in boosting viewer engagement and content discovery during the onboarding process, although recommendation accuracy may develop as richer user interaction data accumulates._x000D_
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#Cold Start Recommendation Artificial Intelligence (AI) Market Competitive Landscape: Who Leads The Industry?#_x000D_
Major companies operating in the cold start recommendation artificial intelligence (AI) market are Amazon Web Services Inc., Microsoft Corporation, Meta Platforms Inc., Alibaba Group Holding Limited, Tencent Holdings Limited, Accenture plc, International Business Machines Corporation (IBM), Oracle Corporation, SAP SE, Salesforce Inc., Adobe Inc., Databricks Inc., Outbrain Inc., Itransition Group, DataRobot Inc., Bloomreach Inc., Algolia SAS, Coveo Solutions Inc., H2O.AI Inc., DevCom Software Ltd., Qloo Inc., Algoscale Technologies Inc., Zactra Technologies Inc., Personyze Inc. _x000D_
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#Cold Start Recommendation Artificial Intelligence (AI) Market Geographic Landscape: Which Region Dominates Industry Growth?#_x000D_
North America was the largest region in the cold start recommendation artificial intelligence (AI) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the cold start recommendation artificial intelligence (AI) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa._x000D_
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
