Press release
AI and Big Data in the Food Industry Market: Driving Innovation and Growth
The global AI and big data in food industry market size was USD 6.86 Billion in 2022 and is expected to register a steady revenue CAGR of 44.4% during the forecast period, according to latest analysis by Emergen Research. Rising demand for AI and big data technologies to enhance overall efficiency in food production and distribution is the primary factor driving market revenue growth. AI assists food producers in anticipating and predicting customer reactions to new flavors and helps in developing food according to the client preferences. Food business utilizes big data analytics to analyses consumer behavior, preferences, and trends, which help in the creation of new products that are customized to change consumer expectations.The latest research report is dubbed as the first document encompassing the latest information about the AI and Big Data in Food Industry market that has been gravely affected by the COVID-19 pandemic. The global health crisis poses significant threats to the future growth of the AI and Big Data in Food Industry industry. The report assesses the profound changes in this business setting caused by the outbreak and considers the prominent market aspects that have been severely disrupted by the pandemic. The report thus expounds on the rapidly changing market scenario in this COVID-19 era, which aims to help businesses involved in this sector overcome the pandemic's gripping effects and formulate new growth strategies to boost the COVID-19 preparedness.
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Key Market Competitors Profiled in the Report:
IBM, SAP, Oracle, Intel Corporation, SAS Institute Inc., Cargill, Incorporated, Capgemini, Nutrien Ag Solutions, Inc., FoodLogiQ, and ripe.io
Some Key Highlights From the Report
The Artificial Intelligence (AI) segment accounted for largest revenue share in the global AI and big data in the food industry market in 2022. This is due to rising demand for AI in the food industry since it increases the efficiency and waste reduction of food production, distribution, and supply chain management. AI-powered robots improve operations by automating everything from food sorting to delivery. For example, AI-based solution accurately sort potatoes based on their size and weight, which easily chooses the best potatoes for baking chips and for producing French fries. In addition, AI can categorize veggies based on color to reduce food waste. AI provides a more comprehensive perspective of the entire operation, allowing businesses to make the most of each shipment.
The on-premises segment is expected to register steadily fast revenue growth rate in the global AI and big data in the food industry market during the forecast period. On premises provide the flexibility to customize AI and big data solutions according to the unique needs and processes of organization, which allows for the development with specific business requirements.
The North America market accounted for largest revenue share in the global AI and big data in the food industry market in 2022. This is due to rising demand for AI and big data technologies since it helps to streamline operations, optimize supply chains, and enhance overall efficiency in food production and. In addition, need for big data analytics is increasing as it enables better visibility and management of the entire supply chain since AI algorithms can predict demand, optimize inventory levels, and reduce waste. Moreover, increasing partnerships among major companies is also expected to drive market revenue growth of this region during the forecast period.
On 10 December 2020, TOMRA Food launched the TOMRA 5C, a revolutionary optical food sorting technology that revolutionize nut and dried fruit processing. TOMRA 5C premium optical sorter combines industry-leading sensors with Machine Learning (ML) and big-data analysis to achieve the most precise foreign material removal. The TOMRA 5C provides operators with a visual picture of each individual product and foreign material, allowing processors to make real-time decisions that increase the likelihood of a higher profit, higher-quality yield, and faster equipment payback.
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This market is segmented based on Types, Applications, and Regions. The growth of each segment provides accurate forecasts related to production and sales by Types and Applications, in terms of volume and value for the period between 2020 and 2028. This analysis can help readers looking to expand their business by targeting emerging and niche markets. Market share data is given on both global and regional levels. Regions covered in the report are North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. Research analysts assess the market positions of the leading competitors and provide competitive analysis for each company. For this study, this report segments the global AI and Big Data in Food Industry market on the basis of product, application, and region:
Emergen Research has segmented the global AI and big data in food industry market on the basis of technology, deployment, application, component, end-use, and region:
Technology Outlook (Revenue, USD Billion; 2019-2032)
Artificial Intelligence (AI)
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Deep Learning
Big Data
Data Warehousing
Data Integration
Data Analytics
Predictive Analytics
Deployment Outlook (Revenue, USD Billion; 2019-2032)
On-Premises
Cloud-based
Application Outlook (Revenue, USD Billion; 2019-2032)
Supply Chain Management
Inventory Optimization
Demand Forecasting
Logistics and Distribution
Quality Control and Safety
Contaminant Detection
Food Safety Monitoring
Traceability
Smart Agriculture
Precision Farming
Crop Monitoring
Livestock Monitoring
Consumer Insights and Personalization
Market Research
Consumer Behavior Analysis
Personalized Marketing
Predictive Maintenance
Equipment Monitoring
Maintenance Scheduling
Energy Management
Resource Optimization
Energy Efficiency
Component Outlook (Revenue, USD Billion; 2019-2032)
Hardware
Software
Services
Consulting
Implementation
Support and Maintenance
End-use Outlook (Revenue, USD Billion; 2019-2032)
Food Manufacturers
Food Distributors and Retailers
Restaurants and Food Service Providers
Agriculture and Farming
Regional Analysis of the AI and Big Data in Food Industry Market:
North America (U.S., Canada)
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
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Key Objectives of the Report:
Analysis and estimation of the AI and Big Data in Food Industry market size and share for the projected period of 2020-2027
Extensive analysis of the key players of the market by SWOT analysis and Porter's Five Forces analysis to impart a clear understanding of the competitive landscape
Study of current and emerging trends, restraints, drivers, opportunities, challenges, growth prospects, and risks of the global AI and Big Data in Food Industry market
Analysis of the growth prospects for the stakeholders and investors through the study of the promising segments
Strategic recommendations to the established players and new entrants to capitalize on the emerging growth opportunities
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Thank you for reading the report. The report can be customized as per the requirements of the clients. For further information or query about customization, please reach out to us, and we will offer you the report best suited for your needs.
View Additional Related Reports:
Artificial intelligence (AI) and Big Data in Food Industry Market Size @ https://www.emergenresearch.com/industry-report/artificial-intelligence-and-big-data-in-food-industry-market/market-size
Artificial intelligence (AI) and Big Data in Food Industry Market Share @ https://www.emergenresearch.com/industry-report/artificial-intelligence-and-big-data-in-food-industry-market/market-share
Artificial intelligence (AI) and Big Data in Food Industry Market Trends @ https://www.emergenresearch.com/industry-report/artificial-intelligence-and-big-data-in-food-industry-market/market-trends
Artificial intelligence (AI) and Big Data in Food Industry Regional Market Demand @ https://www.emergenresearch.com/industry-report/artificial-intelligence-and-big-data-in-food-industry-market/regional-market-demand
Artificial intelligence (AI) and Big Data in Food Industry Market Analysis @ https://www.emergenresearch.com/industry-report/artificial-intelligence-and-big-data-in-food-industry-market/market-analysis
Contact Us:
Eric Lee
Corporate Sales Specialist
Emergen Research | Web: www.emergenresearch.com
Direct Line: +1 (604) 757-9756
E-mail: sales@emergenresearch.com
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Emergen Research is a market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. Our solutions purely focus on your purpose to locate, target, and analyse consumer behavior shifts across demographics, across industries, and help clients make smarter business decisions. We offer market intelligence studies ensuring relevant and fact-based research across multiple industries, including Healthcare, Touch Points, Chemicals, Types, and Energy. We consistently update our research offerings to ensure our clients are aware of the latest trends existent in the market. Emergen Research has a strong base of experienced analysts from varied areas of expertise. Our industry experience and ability to develop a concrete solution to any research problems provides our clients with the ability to secure an edge over their respective competitors.
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