Ottawa, Sept. 01, 2025 (GLOBE NEWSWIRE) — The global AI in food and beverages market size stood at USD 11.75 billion in 2024 and is predicted to increase form USD 16.36 billion in 2025 to around USD 320.94 billion by 2034, expanding at a CAGR of 39.2% from 2025 to 2034, according to study published by Towards FnB, a sister firm of Precedence Research.

The market is burgeoning in recent times as advanced technology helps in optimizing supply chain, aiding in personalized nutrition, and helping the food and beverage industry in the form of smart packaging and manufacturing.

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AI in Food and Beverages Market Overview

The AI in the food and beverages market is expanding due to multiple factors aiding in the growth of the market. Advanced technology for supply chain optimization, enhancing food quality, lowering food wastage, product development, and enhancing safety are some of the major factors helping the growth of AI in the food and beverages market. Reduced labor costs and smart packaging are also some of the major factors helpful for the growth of the market. AI also helps the food and beverage industry in the form of AI and ML by detecting minute issues immediately, which is not possible to detect manually with the naked eye, further enhancing the quality of the final product as well. AI is also beneficial for enhanced customization, helpful to cater to the specific needs of consumers, and helpful to target the growth of the market.

Key Highlights of AI in Food and Beverages Market

• By region, North America led the AI in the food and beverages market in 2024 with the largest share of 33%, whereas the Asia Pacific is expected to grow with the highest CAGR in the forecast period.
• By technology, the machine learning segment contributed the largest market share of 30% in 2024, whereas the robotics and automation segment is expected to grow in the forecast period.
• By deployment, the cloud segment dominated the AI in food and beverages market in 2024, whereas the on-premises segment is expected to grow in the foreseen period.
• By end-use, the food processing segment dominated the AI in food and beverages market in 2024, whereas the supply-chain management is expected to grow in the forecast period.
• By application, the quality control and safety compliance segment led the AI in the food and beverages market in 2024, whereas the production and packaging segment is expected to grow in the expected timeframe.

What are the Current Trends of AI in Food and Beverages Market?

• Advanced robotics, helpful in product designing and innovation, is one of the major factors for the growth of AI in the food and beverages market.
• Increased demand for automation and innovation is another major factor for the growth of the market.
• AI-powered analytics for supply chain management and keeping the consumers engaged and loyal towards the industry are also aiding the market’s growth.
• AI algorithms are also essential for the food and beverage industry as they help in predictive analysis, which is helpful to detect the right time for maintenance of machines used for food manufacturing. It helps to lower the downtime chances and reduce time wastage, along with product wastage.

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Recent Developments in AI in Food and Beverages Market

• In August 2025, Kido Group, Vietnam’s leading food producer, teamed up with Chinese firm Yuguangtongchen to establish a joint venture named ‘AIRO’. The venture will specialize in AI-driven TV commercials, short films, and movies. (Source– https://theinvestor.vn/)
• In June 2025, Yum China Holding, Inc. launched its AI-enabled assistant called Q-Smart to help restaurant managers manage daily operational tasks. The tool can be easily paired with various electronic devices such as smart watches and wireless earphones. (Source– https://www.restaurantindia.in)

Market Dynamics

What Are the Drivers Helpful for the Growth of AI in Food and Beverages Market?

AI helps to automate repetitive tasks in production and packaging procedures, which is helpful for the growth of AI in the food and beverages market. AI algorithms help the industry in predictive analysis for lower downtime, enhanced operation of the machinery, and aid in timely maintenance of machines, which is helpful to lower wastage. The advanced technology also helps in product innovation and smart packaging, which is helpful for brands and the industry to keep the customers loyal and engaged, along with enhancing the pool of customers as well. AI also helps to manage supply chains and immediately detect events such as a shortage of raw materials, managing inventory, and streamline logistics as well.

Challenge

Higher Costs and a Lack of Skilled Workers are hampering the Growth of the Market.

Implementing AI solutions involving the purchase of hardware and software solutions can be expensive and, hence, is not an affordable option for small-scale F&B industries. Hence, such industries follow the traditional methods of manufacturing and packaging filled with errors, leading to obstruction in the growth of AI in the food and beverages market. Costs incurred to recruit skilled personnel experienced in data science, along with experience in the F&B segment, are another barrier to the growth of the market.

Opportunity

Emerging Markets helping the Growth of AI in Food and Beverages Market in the Foreseen Period.  

Emerging markets are helping AI to flourish in the industry and making it more advanced. AI is helping the F&B industry to enhance food safety, improve the quality of the product, automate repetitive tasks, and is also helpful for timely machine maintenance. Hence, the advanced technology has a huge opportunity to enhance the growth of AI in the food and beverage market. The advanced technology is also essential to enhance supply chains and keep a tap on various processes involved in the food manufacturing procedure.

AI in Food and Beverages Market Regional Analysis

North America led the AI in Food and Beverages Market in 2024

Use of advanced technology for its infrastructure and in the form of reliable IT systems, data centers, and fast internet helped the growth of AI in the food and beverages market in North America in 2024. Growing demand for functional food, plant-based food, and personalized nutrition also helped the growth of the market in the region. Improved food quality and automation in maximum procedures also helped the growth of AI in the food and beverages market in the region.

Asia Pacific is Expected to Grow in the Forecast Period

Rising disposable income, growing middle class, and rapid urbanization are some of the factors helping the growth of AI in the food and beverages market in the Asia Pacific in the expected timeframe. Advanced technology is helping the industry to improve the food quality, automate maximum procedures, and manage the supply chains, and food safety is also helping the growth of the market in the region. The technology is also helping the industry in the form of personalized nutrition for specific customers as per their health conditions.

AI in Food and Beverages Market Report Scope

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AI in Food and Beverages Market Segmental Analysis

Technology Analysis

The machine learning segment led the AI in the food and beverages market in 2024. The food and beverage companies are optimizing machine learning to get useful insights, such as forecast details, changing consumer behavior, seasonal variations, and understanding market disruptions for the growth of the market. Machine learning is also helping the market to study in-depth consumer preferences, menu designing for maximum consumer retention, and pinpoint popular menu items for enhanced market growth.

The robotics and automation segment is expected to grow in the expected timeframe, helping the growth of AI in the food and beverages market in the foreseeable period. The segment helps the industry to manage the rising demand for food and beverages, along with maintaining the food quality and safety, helping the growth of the market in the foreseeable future. The automation technology helps to automate multiple procedures, which are helpful for the growth of the market by lowering human intervention and reducing the chances of errors in manual procedures. Japan has made a major contribution to the growth of the market in the region in the form of AI-driven culinary robots to transform the food service segment.

Deployment Analysis

The cloud segment led the AI in the food and beverages market in 2024 because cloud-based services have helped the industry to improve customer service by streamlining ordering processes and enhancing delivery experience. The segment also enhances the importance of cloud systems to aid the decision-making procedure of the food and beverage industry, along with enhancing its operational efficiency as well. The segment also helps in managing various operations of the industry, managing supply chains, and offering creative solutions, with the help of remote services available on the internet. Inventory control, customer support, and Chatbots driven by AI are also some of the major factors helpful for the growth of the market.

The on-premises segment is expected to grow in the foreseen period as the segment fulfills various needs such as data sovereignty, security, and compliance. The segment also highlights its benefits, such as cost controls and customization in various options, helping the growth of the market. The segment is also essential in scenarios where internet connectivity is weak and the industry needs to take immediate action and make decisions. The on-premises segment, under such circumstances, aids immediate decision-making and guarantees dependable performance.

End-Use Analysis

The food processing segment dominated the AI in food and beverages market in 2024, as the segment highlights the importance of automation in streamlining the manufacturing and food packaging procedures. It helps in enhancing the food quality and safety, further fueling the growth of AI in the food and beverages market. Machine learning procedures help to streamline and simplify the huge amount of data gathered along with historical data, and make beneficial decisions accordingly. The food and beverage industries are using AI on a higher scale these days to enhance operational procedures, improve food quality, and meet the rising market needs by regularizing supply chains.

The supply chain management segment is expected to grow in the foreseen period by utilizing AI and aiding various procedures, such as optimizing the flow of materials, organizing them efficiently, and ensuring proper flow of such procedures for improved results. A variety of advanced technologies are helpful for supply chain management, enhancing delivery experience, and helping overall growth of the market in the forecast period.

Application Analysis

The quality control and safety compliance segment dominated the AI in food and beverages market in 2024 by enhancing food safety, improving food quality, keeping a tap on food inspection and quality control, upgrading shelf-life predictions, risk predictions, and improve public health and safety. Increasing demand for transparency and complete view of the procedures followed for food manufacturing to ensure safety is also helping the growth of market.

The production and packaging segment is expected to grow in the foreseen period as AI-powered robots can manage various procedures such as sorting, packaging, and assembling items to lower human intervention and automate the whole procedure. Use of AI for smart packaging involving the use of sensors for tracking the packaging is also helping the growth of the market in the foreseeable future.

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Additional Topics Worth Exploring:

• Food and Beverage Industry Pumps Market: The global food and beverage industry pumps market size is expected to grow from USD 11.65 billion in 2025 to USD 22.57 billion by 2034, at a CAGR of 7.63% over the forecast period from 2025 to 2034.
• Food Grade Lubricants Market: The global food grade lubricants market size increasing from USD 491.01 million in 2025 to USD 1,120.43 million by 2034, driven by a CAGR of 9.6% during the forecast period from 2025 to 2034.
• Food Automation Market: The global food automation market size is set for steady growth increasing from USD 14.92 billion in 2025 to USD 28.61 billion by 2034, with a CAGR of 7.5% during the forecast period from 2025 to 2034.
• 3D Food Printing Market: The global 3d food printing market size is projected to expand from USD 535.08 million in 2025 to USD 7,605.04 million by 2034, growing at a CAGR of 34.3% during the forecast period from 2025 to 2034.
• Food Processing Market: The global food processing market size is projected to grow from USD 177.56 billion in 2025 to USD 318.29 billion by 2034, reflecting a CAGR of 6.7% over the forecast period from 2025 to 2034.
• Food Processing Blades Market: The global food processing blades market size was calculated at USD 1.05 billion in 2024 and is anticipated to reach USD 2.46 billion by 2034, growing at a CAGR of 8.9% during the forecast period from 2025 to 2034.
• Cheese Powder Market: The global cheese powder market size is projected to expand from USD 5.21 billion in 2025 to USD 9.33 billion by 2034, growing at a CAGR of 6.7% during the forecast period from 2025 to 2034.
• Compound Feed Market: The global compound feed market size is expected to grow from USD 614.57 billion in 2025 to USD 986.58 billion by 2034, at a CAGR of 5.4% over the forecast period from 2025 to 2034.

AI in Food and Beverages Market Top 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
• Natural Language Processing
• Robotics & Automation

By Deployment 

By End-use 

• Food Processing
• Supply Chain Management
• Hotel & Restaurant

By Application

• Food Sorting
• Consumer Engagement
• Quality Control and Safety Compliance
• Production and Packaging
• Maintenance
• Others

By Region

North America

Asia Pacific

• China
• Japan
• India
• South Korea
• Thailand

Europe

• Germany
• UK
• France
• Italy
• Spain
• Sweden
• Denmark
• Norway

Latin America

Middle East and Africa (MEA)

• South Africa
• UAE
• Saudi Arabia
• Kuwait

Thank you for exploring our insights. For more targeted information, customized chapter-wise sections and region-specific editions such as North America, Europe, or Asia Pacific—are also available upon request.

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About Us

Towards FnB is a global consulting firm specializing in the food and beverage industry, providing innovative solutions and expert guidance to elevate businesses. With an in-depth understanding of the dynamic F&B sector, we deliver customized market analysis and strategic insights. Our team of seasoned professionals is committed to empowering clients with the knowledge needed to make informed decisions, ensuring they stay ahead of market trends. Partner with us as we redefine success in the rapidly evolving food and beverage landscape, and together, we’ll navigate this transformative journey.

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The post-pandemic era has accelerated the transformation of K-12 education, with math ed-tech emerging as a cornerstone of STEM enrichment. As schools shift toward hybrid and personalized learning models, investors are increasingly targeting platforms that combine artificial intelligence (AI), immersive technologies, and cloud-based infrastructure to address gaps in math proficiency. The global K-12 math ed-tech market, valued at USD 153.39 billion in 2024, is projected to surge to USD 732.94 billion by 2034, growing at a compound annual growth rate (CAGR) of 17.47% [1]. This trajectory underscores a critical inflection point for scaling high-performing platforms that align with evolving pedagogical demands.

The AI-Powered Personalization Revolution

AI-driven platforms are redefining math education by offering adaptive learning experiences tailored to individual student needs. For instance, Magma Math, a 2025 North America EdTech 200 honoree, has secured $40 million in funding to develop interactive tools that dynamically adjust problem difficulty based on real-time performance [2]. By 2026, 60% of U.S. K-12 schools are expected to adopt AI-powered systems, up from 30% in 2023 [3]. These platforms not only enhance engagement but also improve knowledge retention, with studies showing a 20–30% increase in math proficiency among users of AI-driven tutoring systems [4].

Immersive Technologies and Cloud-Based Scalability

Beyond AI, immersive technologies like virtual reality (AR/VR) and cloud-based learning management systems (LMS) are amplifying the reach of math ed-tech. By 2025, 25% of K-12 schools globally will integrate VR/AR into curricula, enabling students to visualize complex concepts such as geometric transformations or algebraic functions in 3D environments [5]. Cloud-based LMS adoption has already reached 55% of institutions, facilitating seamless remote and hybrid learning [6]. Platforms leveraging these tools—such as Khanmigo, which combines AI tutoring with AR simulations—are gaining traction for their ability to bridge the gap between abstract math concepts and tangible understanding.

Investment Opportunities and Challenges

The surge in demand has attracted significant capital. Venture funding for AI-driven ed-tech startups grew by 41% in 2025, with RiiD (South Korea) and Squirrel AI (China) securing over $250 million and serving 24 million students, respectively [7]. However, challenges persist. Approximately 40% of schools face budget constraints, while 20% of students in low-income regions lack reliable internet access [8]. Investors must prioritize platforms that address these disparities through cost-effective models and partnerships with governments or NGOs.

Strategic Considerations for Scaling Success

To capitalize on this market, investors should focus on platforms demonstrating:
1. Scalable AI algorithms that reduce per-student costs while maintaining efficacy.
2. Culturally responsive design, ensuring inclusivity for diverse student populations.
3. Integration with existing infrastructure, such as compatibility with widely used LMS platforms.
4. Data-driven outcomes, with measurable improvements in standardized test scores or engagement metrics.

The U.S. K-12 math market, for example, is prioritizing platforms that show measurable gains for students performing below grade level, particularly in districts with high poverty rates [9]. Startups that combine AI diagnostics with multilingual support and culturally relevant content are poised to dominate this segment.

Conclusion

The post-pandemic shift to digital learning has created a fertile ground for K-12 math ed-tech platforms. With AI, immersive tech, and cloud-based solutions driving growth, the sector offers a compelling investment thesis for those willing to navigate regulatory and equity challenges. As the market expands, platforms that prioritize scalability, personalization, and accessibility will lead the charge in transforming STEM education.

Source:
[1] K-12 Education Technology Market Size [https://market.us/report/primary-edtech-market/]
[2] 2025 North America EdTech 200 [https://www.holoniq.com/notes/2025-north-america-edtech-200]
[3] AI In K-12 Education Market Size | Industry Report, 2033 [https://www.grandviewresearch.com/industry-analysis/ai-k-12-education-market-report]
[4] K-12 Mathematics Market Survey Report 2025 [https://www.freedoniagroup.com/simba-information/k-12-mathematics-market-survey-report]
[5] K-12 Education Technology Market Size, Growth & … [https://www.marketgrowthreports.com/market-reports/k-12-education-technology-spend-market-100519]
[6] K-12 Education Technology Market Size | Industry Report, 2030 [https://www.grandviewresearch.com/industry-analysis/education-technology-market]
[7] AI EdTech startups: key trends and top players in 2024/2025 [https://www.dreamxweb.com/blog/ai-edtech-startups-key-trends-and-top-players-in-2024-2025/]
[8] AI in Education Statistics 2025: Funding, Privacy, and … [https://sqmagazine.co.uk/ai-in-education-statistics/]
[9] K-12 Mathematics Market Survey Report 2025 [https://www.freedoniagroup.com/simba-information/k-12-mathematics-market-survey-report]

Dublin, Sept. 01, 2025 (GLOBE NEWSWIRE) — The “Automotive AI Market by Offerings (Compute, Memory, Software), Level of Autonomy (L1, L2, L3, L4, L5), Technology (Deep Learning, ML, Computer Vision, Context-aware Computing, NLP), Application (ADAS, Infotainment, Telematics) – Global Forecast to 2030” has been added to ResearchAndMarkets.com’s offering.

The report segments the automotive AI market based on offerings (hardware, software), architecture types, autonomy levels, technologies, and applications like ADAS and infotainment systems. It covers market drivers, restraints, opportunities, and challenges, offering a thorough view across North America, Europe, Asia-Pacific, and RoW. The study also provides an ecosystem analysis of key players.

The market is composed of leading players such as Tesla, NVIDIA Corporation, Mobileye, Qualcomm Technologies, Advanced Micro Devices, and more. Comprehensive competitive analysis includes profiles, recent developments, and market strategies of these companies.

The automotive AI market is anticipated to grow significantly, expanding from USD 18.83 billion in 2025 to USD 38.45 billion by 2030, at a CAGR of 15.3%. This growth is largely driven by the advent of autonomous vehicles that leverage AI for key functionalities such as perception, navigation, and decision-making in real time. The increasing levels of autonomy in the automotive industry are augmenting the demand for intelligent systems. Moreover, as in-vehicle data proliferates through sensors, cameras, and connected systems, there is an escalating need for AI-driven analytics to boost safety, efficiency, and personalization.

Hardware Segment on a High Growth Trajectory

The hardware segment is expected to experience the highest growth rate within the automotive AI market. This surge is attributed to the integration of advanced sensors, AI accelerators, and high-performance computing chips essential for autonomous driving systems and intelligent features in vehicles. As cars transform into data-heavy platforms, there is an escalating demand for robust hardware infrastructure, including GPUs, ASICs, FPGAs, and edge AI chips, designed to process real-time data from diverse sensors. Furthermore, the shift towards software-defined vehicles is propelling automakers to implement powerful domain controllers and centralized computing systems.

Dominance of Computer Vision Technology

Computer vision technology is projected to hold a significant market share in 2025 due to its crucial role in enabling real-time environmental perception, vital for autonomous driving and advanced driver assistance systems (ADAS). This technology facilitates functionalities like lane detection, pedestrian recognition, and traffic sign identification by processing visual data from vehicle cameras and sensors. As automobile intelligence and safety regulations worldwide become more stringent, OEMs and Tier 1 suppliers are investing vigorously in computer vision systems to enhance vehicle awareness and decision-making capabilities.

European Market Influence

Europe is poised to be the second-largest market for automotive AI by 2025, owing to its robust automotive manufacturing foundation, rigorous safety and emissions standards, and early adoption of driver assistance and autonomous driving technologies. Germany, France, and the UK stand out as key players, with OEMs and Tier-1 suppliers actively integrating AI into automotive platforms to improve safety, energy efficiency, and the in-cabin experience. The region’s focus on premier, electric, and software-defined vehicles is significantly boosting the demand for AI-driven functions.

Key Advantages of the Report:

• Understanding main drivers and opportunities in the automotive AI market.
• Insights on service development, including upcoming technologies and product launches.
• Identification of lucrative markets and area-wise growth potential.
• Comprehensive competitive assessments and detailed insights into key industry players.

Key Attributes

Market Dynamics

• Drivers
  • Growing Adoption of ADAS Technology by OEMs
  • Rising Demand for Enhanced User Experience and Convenience Features
  • Emerging Trend of Autonomous Vehicles
  • Growing Volume of In-Vehicle Data
• Restraints
  • Increase in Overall Cost of Vehicles
  • Threat to Vehicle-Related Cybersecurity
  • Inability to Identify Human Signals
• Opportunities
  • Increasing Demand for Premium Vehicles
  • Growing Need for Sensor Fusion
  • High Potential of In-Car Payments
• Challenges
  • Limited Real-World Testing and Validation Frameworks
  • AI Model Explainability and Trust Issues

Case Study Analysis

• Honda Motor Co. Ltd. – Accelerating Knowledge Transfer with Generative AI, Slashing Documentation Time by 67%
• eCarX – Revolutionizing In-Vehicle Experience with AMD-Powered Immersive Digital Cockpit Platform
• Subaru Corporation – Elevating Eyesight ADAS with AMD-Versal AI Edge Gen 2 for Smarter, Safer Driving

Companies Profiled

• Tesla
• Nvidia Corporation
• Mobileye
• Qualcomm Technologies, Inc.
• Advanced Micro Devices, Inc.
• Alphabet Inc.
• Aptiv
• Micron Technology, Inc.
• Microsoft
• IBM
• Nauto
• Aurora Operations, Inc.
• Wayve
• Nuro, Inc.
• Pony.AI
• Helm.AI
• Tactile Mobility
• Deeproute.AI
• Cognata
• Nullmax
• Comma.AI
• Motional, Inc.
• Oxa Autonomy Limited
• Imagry Autonomous Driving Software Company
• Applied Intuition, Inc.

For more information about this report visit https://www.researchandmarkets.com/r/xmx5a0

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• Automotive Artificial Intelligence (AI) Market