Artificial Intelligence (AI) in Foodtech Market Report 2026

The artificial intelligence (AI) in foodtech market size has grown exponentially in recent years. It will grow from $8.58 billion in 2025 to $11.53 billion in 2026 at a compound annual growth rate (CAGR) of 34.3%. The growth in the historic period can be attributed to growing digitization of food processing operations, rising adoption of automation in food manufacturing, increasing focus on food safety compliance, expansion of organized food supply chains, early adoption of ai analytics in demand planning.

The artificial intelligence (AI) in foodtech market size is expected to see exponential growth in the next few years. It will grow to $37.12 billion in 2030 at a compound annual growth rate (CAGR) of 34%. The growth in the forecast period can be attributed to increasing investments in ai-enabled foodtech platforms, rising demand for waste reduction solutions, expansion of personalized nutrition applications, growing use of ai robotics in food preparation, increasing integration of ai with smart appliances. Major trends in the forecast period include increasing adoption of ai-driven food quality monitoring, rising use of predictive analytics for demand forecasting, growing deployment of smart kitchen automation, expansion of ai-based supply chain optimization, enhanced focus on personalized nutrition solutions.

The growth of the food delivery business is expected to drive the expansion of the artificial intelligence (AI) in foodtech market in the coming years. The food delivery business refers to the segment of the industry that involves transporting prepared meals directly from restaurants, cafés, or other food establishments to customers’ locations, such as homes or offices. This sector is expanding due to rising consumer demand for convenience, the increasing adoption of online food ordering platforms, and the broader availability of delivery services from diverse food providers. AI in foodtech supports the food delivery business by optimizing delivery routes, predicting customer preferences to enable personalized recommendations, and automating order management processes to improve operational efficiency and reduce delivery times. For example, in May 2024, according to the Economic Times, an India-based media company, Swiggy’s food delivery business recorded a 17% year-on-year increase in gross merchandise value (GMV) during the first half of 2023, reaching $1.43 billion. Therefore, the expansion of the food delivery business is driving the growth of artificial intelligence (AI) in the foodtech market.

Companies in the artificial intelligence (AI) in foodtech market are increasingly focusing on the development of advanced solutions such as AI-driven ingredient discovery platforms to improve the speed and efficiency of new ingredient development. These platforms utilize machine learning and large-scale biological datasets to rapidly identify natural proteins or molecules with specific functional properties for applications in food, agriculture, personal care, or materials. For instance, in May 2024, Shiru Inc., a US-based protein discovery company, launched ProteinDiscovery.ai, the world’s first marketplace and discovery platform for proteins, featuring an AI-enabled search, catalog, and licensing system. The platform provides access to a database of more than 33 million natural proteins derived from plants and microbes, allowing companies to search, test, license, and purchase protein molecules for various applications. It enables the prediction of protein functionality and expression, significantly reducing research and development timelines and costs, and supports the identification of clean-label sweet proteins, high-stability proteins, and plant-based fat and texturizing proteins, thereby accelerating the transition from discovery to commercial product development.

In May 2024, GrubMarket, a US-based technology company, acquired Butter for an undisclosed amount. Through this acquisition, GrubMarket aims to leverage Butter’s AI-powered e-commerce and payment technologies to expand its portfolio of innovative AI-driven solutions for the food supply chain industry. The deal is also intended to enhance the capabilities of GrubMarket’s existing software products, including Grubassist AI and WholesaleWare, and to strengthen its position as an enterprise AI solutions provider for the US food supply chain sector. Butter is a US-based technology company that offers AI-enabled sales tools designed to automate order entry processes.

Major companies operating in the artificial intelligence (AI) in foodtech market are Microsoft Corporation, Cargill Incorporated, International Business Machines Corporation, Oracle Corporation, SAP SE, NVIDIA Corporation, Zebra Technologies Corporation, TOMRA Systems ASA, Blue Yonder Group Inc., Grubhub Inc., Google DeepMind Technologies Limited, Rebel Foods, Tovala, Saffron Tech, Blue River Technology, Brightseed, Clear Labs Inc., Nutrino Health Ltd., FoodLogiQ, NotCo Ltd., AgShift, Zest Labs, ImpactVision.

North America was the largest region in the artificial intelligence (AI) in foodtech market in 2025. The regions covered in the artificial intelligence (AI) in foodtech 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) in foodtech market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Italy, Spain, Canada.

The artificial intelligence (AI) in foodtech market consists of revenues earned by entities by providing services such as predictive analytics, automated cooking systems, smart inventory management, personalized nutrition recommendations, and real-time food safety monitoring. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in foodtech market also includes sales of smart kitchen appliances, automated food preparation machines, AI-driven inventory and supply chain management systems, and personalized nutrition apps. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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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