AI in Food and Beverages Market Size, Share, and Trends 2024 to 2033

The global AI in food and beverages market size was valued at USD 8 billion in 2023 and is expected to hit around USD 214.62 billion by 2033, poised to grow at a CAGR of 39% from 2024 to 2033.

AI is responsible for revolutionizing the food industry and is capable of improving personalized nutrition, efficiency, and data-driven decision-making.

Key Takeaways

• North America dominated the largest market share of 39.5% in 2023.
• Asia Pacific is expected to express the fastest rate of expansion during the forecast period of 2024-2033.
• By technology, the machine learning segment had the highest share of the market in 2023.
• By technology, the automation, and robotics segment will show significant growth during the forecast period.
• By application, the food processing segment has the highest market share in 2023.
• By application, the supply chain management segment will show the fastest rate of expansion during the forecast period of 2024-2033.
• By end user, food manufacturers segment had the highest share of the market in 2023.
• By end user, the restaurant segment will showcase the highest expansion rate during the forecast period.

AI in Food and Beverages Market in the U.S. 2024 to 2033

The U.S. AI in food and beverages market size was estimated at USD 2.21 billion in 2023 and is anticipated to reach around USD 60.52 billion by 2033, growing at a CAGR of 39.27% from 2024 to 2033.

North America led the market with the biggest market share of 39.5% in 2023. It is estimated that North America will continue its dominance in the market in the coming years. The United States in North America is a global center for technological innovation. Technology firms and academic institutions that help create AI solutions in the food and beverage industry are leading. North America has a robust ecosystem for research and development, which makes it a leading AI region in the food and beverage market. North America also provides substantial financial support for AI startups and enterprises.

Major advancements in North America AI in food and beverages market

• In the U.S., around 2000 AI-driven food startups were initiated in 2022.
• A sales boost of USD 2 billion in 2022 was observed in the U.S. due to the integration of AI in supply chain management.
• Around 120 restaurants in Toronto, Canada, integrated an AI-based customer feedback system.
• 14 million North Americans prefer AI-aided food recommendations.

The growth of AI in the food and beverages market is expanding in Asia Pacific. There are ongoing technological advancements in this region, due to which it has potential. Increased connectivity, globalization, and tech-savvy consumers are responsible for the rapid group.

• IBM Japan and Sapporo Breweries jointly established an AI system that is showing a significant reduction in the cost and time of new product development. It can play a significant role in future innovations in the alcohol industry.
• Mukunda Foods, Mechanical Chef, Buller ‘O’ Bistro, Faasos, Robot Restaurant, and the Yellow House are some of the Indian food restaurants that have integrated AI into their start-ups.

AI in Food and Beverages Market Overview

The simulation of human intelligence in machines, especially in computer systems, which usually require human intervention, is AI. It is used to enhance the efficiency and performance of machines. In the case of the food and beverages industry, AI can be used in different sectors, including product and packaging, industrial standards compliance, quality control, consumer engagement, food and sorting applications, and meal transportation.

AI in food and beverages market ensures optimal quality, excellent hygiene standards, and efficiency, retains nutritional value, reduces wastage, detects microorganisms, minimizes overproduction, and timely delivery. There are many more applications of integrating AI in food and beverages market. It can help reduce workload, optimize workflow, innovation in product development, improve process flow, and ultimately lead to consumer satisfaction.

AI in Food and Beverages Market Trends

Customer Services

It is crucial to analyze customers' preferences and achieve the highest level of customer satisfaction in hotels and restaurants, which can be achieved by integrating AI into customer services. Menu optimization will be helpful in improving efficiency and dining experience. AI can help in providing suggestions based on upselling items or the most popular choices. Based on customer reviews and feedback, AI will be able to identify areas that need improvement.

AI-powered reservation systems can automate the entire system of reservations and wait time. It will include reservation taking, cancellations, and updating waitlists. AI-powered systems can optimize eating capacity and table turnover based on historical data and future predictions. AI-powered customer management systems can manage customer relations. It can analyze previous orders and preferences and provide personalized recommendations.

• The United States-based online restaurant reservation service company OpenTable integrated ChatGPT, which helps customers choose the best available tables and time based on availability and customer preferences.
• Domino’s, the largest pizza company in the world, has joined forces with Microsoft to improve store operations and pizza delivery with the help of AI technology and cloud computing.

AI-powered robot waiters

The use of robot waiters can be traced back to 1983 by Two Panda Deli, a restaurant based in California. However, the robots used in restaurants usually break down and are not suitable for carrying out specific tasks. Robot waiters powered by AI will be capable of carrying out food and beverage delivery and reception and can interact with the customers.

• The Robot Restaurant- The Yellow House, based in India, used two AI-powered robot waiters, Diva and Ruby. These robots are capable of taking orders, taking plates after dining, interacting with customers, and navigating through obstacles.

Culinary innovation

Integration of AI in kitchen appliances and culinary applications can revolutionize the way home cooking is done. It can provide cooking assistance, personalized recipes, and flavor profiting.

• In 2024, Samsung announced the use of CES 2024 in Samsung’s newest kitchen products, features, and applications. The notable product in the line-up is the Internet of Things (IoT) integrated Bespoke 4-door Flex Refrigerator with AI Family Hub+.

AI in Food and Beverages Market Breakthrough

Microplastic detection with AI

Microplastics are small pieces of plastics that enter the human body and are severely harmful to health. AI tool called PLasticNet was developed by researchers. It is capable of detecting/scanning microplastic 50% faster than the pre-existing methods and has 20% more accuracy. The accuracy level is achieved by training the AI tool on more than 8,000 spectra of virgin plastic.

Growth Factors

• There are a lot of benefits to integrating AI into the food and beverage industry. The three major sectors in which AI is highly useful are customer experience, operational efficiency, and marketing. AI is capable of predictive analytics and cost reduction.
• It can be done by optimizing processes, leading to a reduction in the wastage of efforts and products. It can also monitor safety issues and wear and tear, provide innovative ideas, and predict future aspects, which can reduce costs.
• Winnow, a food waste management tool powered by AI used by companies like IKEA, is highly efficient in reducing waste by 50%. With the help of Winnow, IKEA was able to save £1.4 Million (37% reduction in food waste) on food waste and managed to save 800,000 meals.

AI can also help improve the nutritional value of food by identifying new food sources which are rich in bioactive compounds and specific nutrients. This will help in developing healthy food and diet plans, leading to the reduction of chronic disorders such as cardiovascular diseases, diabetes, obesity, and more.

AI in Food and Beverages Market Scope

AI in Food and Beverages Market Dynamics

Drivers

Food safety improvement and enhancing customer experience

A significant driver of AI in food and beverages market is improvement in food safety. Many manufacturers are adopting automation in the industry to meet guidelines and regulations. It is also essential to have the system in the company for the analysis of hazards and risk-based preventive controls. Food and beverage companies are expected to have a system for proper documentation of the process implemented that is useful in demonstrating that the companies are meeting the legal criteria.

Hence, safety is a significant driver of AI in food and beverages market. Another key driver is customer experience, which can be enhanced by incorporating AI in different segments of the food and beverage industry. Hotels and restaurants can use AI in menu optimization and other customer services. Food delivery apps can incorporate AI to enhance user experience while using their applications.

Improving efficiency

Enhancing efficiency is also a driver of integrating AI in food and beverages market. AI can make different processes such as applied chain management, product packaging, and delivery, interacting with end users, and many other processes efficient by analyzing issues in the system or process and also by providing innovative ideas to tackle them.

Restraints

Extensive data collection and processing

There are several restraints that can hinder the integration of AI in food and beverages market. One of the challenges is that AI needs comprehensive data capture and management. A large amount of data is required for training and improving algorithms.

Data threat and high infrastructure and training costs

It becomes difficult to protect such a large amount of data from cyber threats. Companies have existing systems, and integrating AI into those systems can be time-consuming and complex. A lot of investment is needed for new infrastructure or modification of existing systems. AI in food and beverages market is comparatively new due to which industries operate AI-based systems. Proper knowledge and practice are needed to use such systems.

Opportunity

Enhancing customer satisfaction

The food and beverage industry is customer-centric and, therefore, important to customer satisfaction. There is a vast scope for AI integration to enhance customer satisfaction by analyzing dietary restrictions, consumption patterns, and individual preferences. It will be helpful and provide advanced culinary experience, which can be achieved by providing personalized recommendations for restaurants and food. Menu optimization is an excellent opportunity for all food chains and restaurants to use Air to enhance customer experiences.

• Menu Price Optimizer is an AI-based software tool that can help food service businesses and restaurants optimize their menu pricing strategy. The tool is based on advanced analytics and algorithms that analyze customer behavior and menu data to maximize the price of each menu item. The pricing is decided based on several factors, such as customer demand, margin, and cost. It is helpful in increasing profitability by identifying operation prices of popular items without hampering sales.

Technology Insights

In 2023, the machine learning segment dominated the AI in food and beverages market. Algorithms of machine learning are implemented in different processes for predicting demand, optimizing supply chain processes, optimizing inventory levels for proper logistics and distribution, enhancing end-user experience, and increasing efficiency. Machine learning is instrumental in reducing cost, reducing waste, and improving the overall efficiency of the entire process. Machine learning is integrated into systems for analyzing popular trends, customer preferences, and historical data for menu optimization.

Followed by machine learning, the robotics and automation segment is showing a significant growth rate in the forecast period of 2024-2033. Robots integrated with AI learning are helpful in different tasks conducted in food and beverage companies and agriculture and can even be used in restaurants as waiters.

• Drought is a very challenging aspect of agriculture. A study conducted at the University of Szczecin utilized machine learning algorithms to forecast the most effective microbial strains, which are highly useful in tackling drought issues and improving crop resilience and productivity.

End-Users Insights

The food manufacturing segment had the largest market share and led the market in 2023. The segment has a very high potential to grow in the coming years. Integrating AI in food and beverage manufacturing processes is highly useful in optimizing supply chain processes by predicting demands, efficiently managing inventory, and improving overall logistics. The efficiency of manufacturing food and beverages can be increased by using AI-driven robotics and machine learning in regular operations and procedures.

These operations are packaging, handling, sorting, and delivery, which can reduce human labor for jobs that are challenging for humans. AI can also help in saving energy. Intelligent energy management systems can be developed with the help of AI algorithms to improve energy, lower expenses, and have a sustainable impact on the environment. Utilization of resources can be maximum, waste generation can be reduced, and the burden on the environment can be reduced by implementing AI-based sustainable practices.

Followed by food and beverage manufacturing, the restaurant segment has the potential of the fastest rate of expansion in the AI in food and beverages market in the forecast years 2024-2033. AI is already integrated into menu optimization, staff and restaurant process management, chatbots, and AI robots. These are essential to analyzing customer preferences and providing personalized menu recommendations, leading to customer satisfaction. Staff and process management are helpful in time management, waste management, and waste reduction.

Application Insights

In 2023, the food processing segment dominated the AI in food and beverages market. It is estimated that there will be notable growth in this segment in the upcoming years. AI systems are helpful in better traceability of food and beverage products in the overall processing journey. The technology is beneficial in properly identifying affected batches and enhancing food safety. In food processing, equipment is also useful as it facilitates predictive maintenance. Data analysis via machinery and sensors powered by AI is useful in predicting maintenance requirements, minimizing downtime, and predicting disruptions in the processing line.

Rapid growth during the forecast period can be observed in the supply chain management segment. AI tools are useful in automation inventory management by continuous monitoring of expiry dates, stock levels, and other factors. The supply chain can be managed appropriately to minimize stock out and reduce access inventory holding costs.

ICT Foods is focusing on integrating AI technology in their dairy and beverages supply chain. The company will include AI-powered machine learning algorithms and sensors for monitoring and maintaining product quality during the production process. It will ensure product quality with the help of different tools like real-time monitoring systems, visual inspection systems, and feedback mechanisms.

Recent Developments

• In January 2024, A multi-day trade event, CES 2024, was a huge event in which AI-powered appliances, chef-like robots, and different high-tech kitchen gadgets were showcased. Such events are highly useful in hosting AI integration in the food and beverage industry.
• In January 2024, YELP introduced more than 20 new updates in the AI-powered services, which will help in developing AI-powered business summaries for quickly finding businesses based on preferences, a visually appealing home feed for rapidly finding new favorite restaurants, AI-powered smart budgets and many more features.

AI in Food and Beverages Market Future Directions

The integration of AI is becoming highly advanced in the food and beverage sector. In the future, AI-based technology can be developed for making DNA-based menus. DNA, blood tests, or microbiota can be used to design special nutritional supplements or diets. It will be more beneficial for people with allergies, dietary restrictions, and intolerance. LaBe restaurant in San Sebastian, Spain, developed a project in which the menu was based on the genetic profile of the customers. However, it can pose challenges while collecting data due to the last population size and unique DNA.

AI in Food and Beverages Market Companies

• Rockwell Automation Inc.
• TOMRA Sorting Solutions AS
• Milltec Clarfai, Inc.
• ABB Ltd.
• INTELLIGENT Brewing Co.
• Honeywell International Inc.
• Sight Machine Inc.
• Raytec Vision SpA
• Key Technology Inc.
• Google LLC
• Impact Vision
• SAP SE
• NVIDIA Corporation
• Buhler Group
• IBM Corporation
• Microsoft Corporation

Segments Covered in the Report

By Technology

• Machine Learning
• Computer Vision
• Robotics and Automation

By End-user

• Food Manufacturers
• Farmers and Growers
• Restaurants
• Others

By Application

• Precision Agriculture
• Food Processing
• Supply Chain Management
• Retail Services

By Geography

• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East and Africa