The latest research report by Emergen Research, named ‘Global AI and Big Data in Food Industry Market – Forecast to 2032 The report studies the factors influencing the growth of the industry in the global market and offers accurate predictions about the growth pattern. The report pays special attention to the key elements of the market, such as drivers, restraints, opportunities, threats, risks, limitations, and other aspects. The report covers a comprehensive analysis of the competitive landscape with a detailed analysis of the company profiles, product portfolio, and business expansion strategies.
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 Global AI and Big Data in Food Industry Market report, published by emrgen research, is a holistic study of the current and upcoming trends of the AI and Big Data in Food Industry Market that are expected to influence its growth over the forecast period. The report offers an in-depth analysis of the leading geographical segments of the market. It exclusively offers details about the regulatory framework and development policies that have been implemented in the market over recent years. The study focuses on global trends, regulatory frameworks, and macro- and micro-economic factors.
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Integration of AI and Big Data in Production and Agriculture:
AI and big data are playing a pivotal role in transforming traditional agricultural practices. Smart farming techniques, driven by AI algorithms and data analytics, enable precision agriculture. Farmers can make data-informed decisions regarding crop selection, irrigation, fertilization, and pest control. This not only maximizes yields but also minimizes environmental impact by optimizing resource utilization.
In food production, AI-powered systems enhance manufacturing processes, ensuring quality control and minimizing waste. Big data analytics enable real-time monitoring of production lines, facilitating predictive maintenance and minimizing downtime. This results in improved overall operational efficiency for food manufacturers.
Some major companies in the global market report include IBM, SAP, Oracle, Intel Corporation, SAS Institute Inc., Cargill, Incorporated, Capgemini, Nutrien Ag Solutions, Inc., FoodLogiQ, and ripe.io.
The Global AI and Big Data in Food Industry Market report serves as an accurate database providing the precise market estimations based on a detailed industry analysis. The highly professional report is targeted at readers and businesses interested in this sphere. Our team of analysts has employed primary and secondary research methodologies to determine the estimated market share over the projected timeframe, as well as to analyze the major market segments, including regional bifurcation. The report enumerates the key market players, scrutinizing their strategic initiatives such as collaborations & partnerships, mergers & acquisitions, joint ventures, technological innovation, and new product launches.
The report considers the following timeline for market estimation:
Historical Years: 2019-2032
Base Year: 2019
Estimated Year: 2032
Forecast Years: 2024-2032
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
- Artificial Intelligence (AI)
· Deployment Outlook (Revenue, USD Billion; 2019–2032)
· 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
- Smart Agriculture
- Precision Farming
- Crop Monitoring
- Livestock Monitoring
- Supply Chain Management
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The report also provides an extensive analysis of the segment and sub-segmented expected to dominate the AI and Big Data in Food Industry Market over the projected period. The report offers a forecast estimation of the market with regards to the analysis of the market segmentation, including product type, end-user industries, application spectrum, and other segments.
Objectives of the Report:
Industrial structure analysis of the AI and Big Data in Food Industry Market by identification of various sub-segments
Extensive analysis of key market players along with their SWOT analysis
Competitive landscape benchmarking
Analysis of AI and Big Data in Food Industry Market based on growth trends, futuristic outlook, and contribution to the total growth of the market
Analysis of drivers, constraints, opportunities, challenges, and risks in the global Radiofrequency-Based Devices market
Comprehensive analysis of competitive developments such as expansions, agreements, new product launches, and other strategic alliances
Study of the global AI and Big Data in Food Industry Market size by key regions, types, and applications with reference to historical data (2017-2018) and forecast (2023-2032)
Table of Contents:
Chapter 1: This section analyzes the global AI and Big Data in Food Industry Market market introduction, product offerings, scope, growth opportunities, market risks, and key driving forces.
Chapter 2: This chapter presents a detailed study of the key manufacturers in the AI and Big Data in Food Industry Market market, with sales and revenue estimations.
Chapter 3: This elaborates on the competitive scenario, with details on the major manufacturers and vendors.
Chapter 4: This section studies the global AI and Big Data in Food Industry Market market based on regions.
About Emergen Research
Emergen Research is a Market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. Our solutions purely focus ona your purpose to locate, target, and analyze 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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