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AI In Food And Beverages Market Revenue Outlook: What CAGR Lies Ahead Through 2030?
The AI in food and beverages market has experienced substantial expansion in recent years. This market is projected to increase from $13.57 billion in 2025 to $19.38 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 42.8%. Several factors have contributed to this historical growth, including the imperative for consistent food quality, the early integration of automation in food processing, the rising demand for packaged foods, an increased focus on food safety standards, and the widespread digitization of supply chains.
The AI in food and beverages market is expected to undergo significant expansion in the foreseeable future. It is projected to grow to $79.38 billion in 2030 at a compound annual growth rate (CAGR) of 42.3%. This increase during the forecast period is driven by various factors, including efforts to reduce food waste, AI-powered supply chain optimization, the demand for customized food products, increased automation in food manufacturing, and the emergence of smart food factories. Key developments anticipated in this period encompass the utilization of AI for automating quality control, the integration of predictive demand analytics, the incorporation of AI into food safety monitoring, advancements in smart production and packaging, and the broadened application of AI-driven consumer insights.
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AI In Food And Beverages Market Demand Drivers Opening New Revenue Streams
The increasing need for dietary supplements is anticipated to drive the expansion of the AI in food and beverage market in the future. Dietary supplements are defined as nutritional additions, usually comprising one or more dietary elements like vitamins, minerals, herbs, amino acids, and enzymes. This growing demand for dietary supplements stems mainly from an expanding aging population, heightened health consciousness, and busy modern lifestyles, with consumers seeking easy ways to support their health and wellness. AI technology analyzes personal health information, preferences, and nutritional requirements to generate tailored supplement suggestions, enhancing user satisfaction and consistency in following supplement routines. For example, data from September 2025 by the Australian Bureau of Statistics, an Australia-based government agency, indicated that in 2023, about one-third of individuals (33.6%) reported consuming a dietary supplement. This usage was significantly higher among adult females (43.7%) than adult males (30.8%). Consequently, the increased demand for dietary supplements is a key driver for the AI in food and beverage market.
AI In Food And Beverages Market Segment Landscape And Growth Outlook
The AI in food and beverages market covered in this report is segmented –
1) By Type: Hardware, Software
2) By Organization Size: Small Enterprises, Medium And Large Enterprises
3) By Application: Food Storing, Consumer Engagement, Quality Control, Safety Compliance, Production And Packaging, Maintenance, Other Applications
4) By Marketing Channel: Traditional Marketing Channel (Offline), Online Marketing Channel
5) By End User: Hotels And Restaurants, Food Processing Industries, Other End Users
Subsegments:
1) By Hardware: Sensors, Robots, Processors, Automation Systems, IoT Devices
2) By Software: Machine Learning Software, Data Analytics Software, Quality Control Software, Supply Chain Management Software, Customer Relationship Management (CRM) Software
AI In Food And Beverages Market Trends Powering Strategic Industry Growth
Leading companies operating within the AI in food and beverages market have directed their efforts towards developing innovative solutions, such as applications for AI-driven recipes. An AI-powered recipe app denotes a mobile or web application that employs Artificial Intelligence (AI) technologies to enhance and individualize the user’s experience in the discovery, planning, and preparation of recipes. For example, in August 2023, Samsung Electronics Co. Ltd., an electronics manufacturing firm based in South Korea, unveiled its new ‘AI-powered Food’ app. This application is specifically crafted with integrated artificial intelligence, allowing it to offer personalized recipes and food recommendations to users. It has been rolled out in 8 languages and 104 countries, providing access to over 160,000 recipes and enabling users to explore new dishes, procure ingredients online, and formulate customized meal plans.
AI In Food And Beverages Market Competitive Landscape: Who Leads The Industry?
Major companies operating in the AI in food and beverages market are Raytec Vision SpA; Rockwell Automation Inc.; ABB Ltd.; Honeywell International Inc.; TOMRA Sorting Solutions AS; Sesotec GmbH; Martec of Whitell Ltd.; Key Technology Inc.; Greefa Co.; Sight Machine Inc.; Compac Sorting Equipment Ltd.; National Recovery Technologies LLC; Bulk Handling Systems; Buhler AG; QualySense AG; BoMill AB; ClarifAI Inc.; BBC Technologies; Intelligent X Brewing Co.; International Business Machines Corporation; Microsoft Corporation; Google LLC; Amazon.com Inc.; Siemens AG; Schneider Electric SE; Emerson Electric Co.; Yokogawa Electric Corporation; Mitsubishi Electric Corporation; Omron Corporation; Fanuc Corporation; GEA Group AG; Tetra Pak International SA; Krones AG; Sidel International AG; Alfa Laval AB; SPX Flow Inc.; JBT Corporation
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AI In Food And Beverages Market Geographic Spread And Regional Opportunities
North America was the largest region in the AI in food and beverages market in 2025. Asia-Pacific is expected to be the fastest-growing region in the global AI in food and beverages market report during the forecast period. The regions covered in the AI in food and beverages market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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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.
