June 2025
The global AI in food and beverages market size stood at USD 11.75 billion in 2024 and is forecasted to expand from USD 16.36 billion in 2025 to approximately USD 320.94 billion by 2034, at a compound annual growth rate (CAGR) of 39.20% during the forecast period from 2025 to 2034. Technological advancements, digitalization and consumer demand for the high quality and safe food and beverages along with regulatory pressure significantly driving the market.
Study Coverage | Details |
Growth Rate from 2025 to 2034 | CAGR of 39.20% |
Market Size in 2025 | USD 16.36 Billion |
Market Size in 2026 | USD 22.77 Billion |
Market Size by 2034 | USD 320.94 Billion |
Largest Market | North America |
Base Year | 2024 |
Forecast Period | 2025 to 2034 |
Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
Food waste represents a $1 trillion worldwide issue, and AI is among the limited tools that can effectively address it on a large scale. Food businesses prepared for the future will progressively employ AI for demand forecasting, predictive sourcing, and preventing spoilage. AI technologies will examine climate information, buyer behaviors, and past sales to accurately forecast production levels and timing, minimizing excess inventory, shortages, and waste. McKinsey anticipates that artificial intelligence will decrease food waste and create an economic opportunity of $127 million by 2030.
Trends in AI are transforming the food sector, influencing everything from production and safety to tailored diets and more efficient supply chains. As businesses address food waste, safety issues, workforce shortages, and changing consumer needs. This increase is driven by the demand for personalized nutrition, enhanced safety regulations, improved supply chain efficiency, and sustainability, signifying a new chapter in global food production.
Emerging markets offer substantial unexploited potential for the global AI in food and beverages market. A major opportunity in emerging markets is tackling issues associated with food safety, quality control, and supply chain efficiency. AI-driven solutions can assist emerging market participants in improving food safety standards, establishing quality control protocols, and optimizing supply chain processes to guarantee prompt delivery of goods to consumers. As consumer tastes develop and become more refined, there is an increasing desire for customized nutrition, creative flavors, and convenient food options suited to regional preferences and cultural tastes. AI technologies allow food and beverage companies to evaluate consumer information, recognize new trends, and create tailored products and marketing strategies that connect with target audiences in developing markets.
Higher cost and absence of skilled personnel impeding the market
Implementing AI solutions can be expensive, posing a challenge for smaller companies to adopt them. The initial investment needed for AI implementation, including buying hardware and software as well as recruiting skilled personnel, can pose a challenge for numerous F&B companies. A significant obstacle to AI adoption is the absence of a skilled and informed workforce. Deploying AI technologies necessitates a group skilled in both data science and the food and beverage sector.
North America dominated the AI in food and beverages market in 2024.
The expansion of AI in food and beverages market is driven by its advanced technological infrastructure, such as reliable IT systems, data centers and fast internet, that enable the installation of AI. Furthermore, considerable investment in research and development expenditures boosts in progress innovation in AI technologies, majorly in the food and beverage sector making the widespread endorsement of AI. Additionally, growing demand for the personalized nutrition, functional and plant-based food encouraging the manufacturers to integrate the AI to meet the consumer demand and enhance the quality and efficiency of the product.
The United States held the prominent position in the AI in food and beverages market.
This significant growth is boosted by changing consumer demands for affordable and easily accessible food products. Therefore, industries are integrating the AI in the food processing, quality control and supply chain to improve the productivity and efficiency. Furthermore, AI’s important role in improving efficiency, reducing waste, boosting food safety measures, and permitting personalized nutrition solutions is a major factor driving market growth.
Asia Pacific expects the significant growth in the AI in food and beverages market during the forecast period.
swift urbanization and rising middle class boosting the demand for the convenient and high-standard food and beverage products. AI technologies provide solutions to optimize manufacturing, distribution, and marketing processes to complete demand of consumers effectively. Consumer will pay more on premium food and beverage products as net incomes will rise across many nations in the Asia Pacific. AI can aid industries customize their offerings, improve product quality, and offer personalized experiences that resound well with discerning customers in these sectors. AI-driven tools that allow precision agriculture, including predictive analytics, drones and autonomous machines, can aid farmers to increase crop yields in despite of environmental disruptions and rural labor shortages.
Artificial Intelligence represents state-of-the-art technology for India's food and beverage sector. India's farming industry, essential to the Indian economy, is greatly benefiting from innovations powered by AI. AI technologies help farmers enhance crop production by forecasting ideal growth conditions, tracking plant health, and identifying pests and illnesses. AI has demonstrated its potential to revolutionize food production through enhanced quality control and safety measures. India's vibrant food retail sector is using AI to tackle significant issues such as food waste and inventory control. AI systems examine past sales records, seasonal patterns, and customer tastes to forecast demand precisely. Multiple governmental programs aimed at the growth of the food and beverage industry promote the incorporation of AI in this sector.
What made machine learning the dominant segment in the AI in food and beverages market in 2024?
The machine learning segment dominated the AI in food and beverages market with the largest share in 2024. Food and beverage companies are adopting machine learning technology to attain forecast accuracy, shifts in consumer behavior and preferences, seasonal variations, and market disruptions, thereby gaining advantages for market growth. Sophisticated machine learning algorithms examine large volumes of data, such as sales figures, customer preferences, and ingredient prices. Through the extraction of actionable insights from this data, AI technology allows food companies to pinpoint popular menu items, grasp customer preferences, and adjust menu offerings accordingly. Machine learning algorithms can detect patterns to enhance production parameters, resulting in an improved manufacturing process and increased efficiency. Machine learning plays a crucial role in managing food throughout the supply chain as it can analyze data to monitor all connections within the chain.
Robotics and automation segment is observed to grow at the significant rate during the forecast period.
The food and beverage sector exploring innovative solutions to meet the rising demand for food while maintaining quality and safety standards which is increasing the food automation and robotics. Automation technology improves the intelligence of the production line, enabling the complete production process to occur without human involvement, which not only reduces manual operation errors but also maintains and refines the manufacturing process. Japan has consistently led in robotics and automation, and their recent $7.8 million funding for AI-driven culinary robots is poised to transform the food service segment.
How cloud segment dominated the AI in food and beverages market in 2024?
The cloud segment held the largest share of the AI in food and beverages market in 2024. Cloud-based services have improved customer experience by streamlining ordering processes and enhancing delivery services. Insights and data analytics obtained from cloud platforms have enhanced operational efficiency and guided decision-making for companies. Cloud services within the food and beverage sector offer effective and creative solutions for diverse processes. These services transform inventory management systems and optimize supply chain operations by leveraging remote servers available on the internet. The merging of artificial intelligence with cloud services allows companies to streamline operations like inventory control and customer support. Chatbots driven by AI can help customers with order placements or offer tailored suggestions based on their tastes.
The on-premises segment is seen to grow at a notable rate during the predicted timeframe.
Businesses with strict needs for data sovereignty, security, and compliance continue to find on-premises solutions particularly appealing. Additionally, they provide accurate cost control and customized options. By eliminating reliance on external servers, on-premise deployment reduces the risk of downtime even in low-connectivity scenarios and guarantees dependable performance and high availability.
Which end-use segment held the dominating share of the AI in food and beverages market in 2024?
The food processing segment led the AI in food and beverages market in 2024. Food manufacturing processes are being streamlined and optimized by AI-driven technology, which is increasing production efficiency significantly. To find trends and improve production parameters, machine learning algorithms examine enormous volumes of data gathered from sensors, production lines, and historical records. AI is being used more and more by food and beverage processing industries to increase operational efficiency and deliver consumer goods on schedule in order to meet market demand opportunities.
The supply chain management segment is expected to grow at the significant rate in the AI in food and beverages market during the forecast period.
Food and beverage industries utilizing AI to optimize the flow of materials from the acquiring of raw materials to processing and delivery to aid them operate more effectively. Variety of AI technologies are utilized in supply chain management, such as manufacturing automation, data-driven machine learning models, optimization algorithms, and generative AI.
Why did quality control and safety compliance segment dominate the AI in food and beverages market in 2024?
The quality control and safety compliance segment held the dominating share of the market in 2024. AI is transforming food inspection and quality control, enhancing contamination detection, checking product consistency, upgrading shelf-life predictions, risk prediction, and compliance monitoring to improve public health and safety. Additionally, with increasing customer awareness and demand for transparency, there is rising pressure on food manufacturers to guarantee the highest safety standards. Artificial Intelligence is transforming the field of food safety by offering advanced tools and techniques to combat food safety challenges. AI-powered visual inspection systems of Nestle are reshaping quality control in food production along with this, Danone’s collaboration with Sight Machine has improved real-time monitoring in dairy firms.
The production and packaging segment is observed to grow at the significant rate in the AI in food and beverages market during the forecast period.
AI-powered robots can manage processes such as sorting, packaging, and assembling items so that employees in food production roles can focus more on complicated and rewarding tasks, offering them more space to enhance their skills. Recently, more than 20% of the food and beverage companies has already opted AI technologies for production and packaging. AI allows smart packaging solutions, integrating sensors and data analytics to check and control various factors including temperature, freshness, and shelf life. This guarantees that food items remain in ideal condition throughout the supply chain.
Datassential
Yum! Brands, and NVIDIA
Starday
By Technology
By Deployment
By End-use
By Application
By Region
June 2025
June 2025
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June 2025