Global Artificial Intelligence (AI) in Food and Beverage Market research report delivers a comprehensive analysis of the market outlook, regulatory framework, and macro- and micro-economic factors influencing the growth of the market. The report is formulated through extensive research and surveys to offer accurate and authentic information about the market size, market share, product portfolio, revenue generation, and projected market growth. The report offers key insights into the competitive and regional landscape of the market to assist the stakeholders and investors in formulating strategic business plans.
The global Artificial Intelligence (AI) in food and beverage market is expected to reach a market size of USD 62.83 Billion at a steady CAGR of 44.4% in 2028, according to latest analysis by Emergen Research. This steady revenue growth can be attributed to increasing need for more secure and efficient production facilities in food and beverages industries. Food and beverages industries are increasingly adopting AI solutions to track costs, oversee stock levels, and maintain transparency in supply chain processes. Rising need to reduce food waste is also driving utilization of AI in the food and beverages industry. Focus on improving food safety standards and need to adhere to stringent regulations related to food quality and safety of processes is driving adoption of Artificial Intelligence in the food and beverages industry. Moreover, AI enables maintenance of high accuracy in visual inspections, detection of quality-related issues in real-time, and helps to identify the root cause of quality issues, which will also help in enhancement of production processes in future.
The report is updated with the latest economic scenario and market scope with regard to the ongoing COVID-19 pandemic. The report covers growth prospects as well as current and futuristic revenue estimations in a post COVID scenario. The report also covers changing trends and market dynamics due to the pandemic and provides an accurate impact analysis of the crisis on the overall market.
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Market Drivers:
The constant efforts of prominent players to develop newer and modern technologies and product advancements are expected to drive the growth of the industry over the coming years. The report studies the extensive business expansion plans and advancements in R&D activities and product portfolio. The report offers a clear understanding of the alliances in the market, such as mergers and acquisitions, joint ventures, collaborations, partnerships, agreements, product launches and brand promotions, and corporate deals.
Key Points of Artificial Intelligence (AI) in Food and Beverage Market:
- Extensive coverage of the analysis of the Artificial Intelligence (AI) in Food and Beverage market
- Key insights into the regional spread of the industry in key geographies
- Radical insights into the vital market trends; both current and emerging trends, and factors influencing the growth of the market
- Comprehensive coverage of the impact of the COVID-19 pandemic on the overall growth of the Artificial Intelligence (AI) in Food and Beverage market
- Complete data about the key manufacturers and vendors in the Artificial Intelligence (AI) in Food and Beverage market
Regional Analysis:
The report sheds light on the region expected to dominate the Artificial Intelligence (AI) in Food and Beverage market in the coming years. The report estimates the market size in terms of volume and value and offers an accurate estimate of the market share each region is anticipated to hold during the forecast period. The report analyzes the spread of the Artificial Intelligence (AI) in Food and Beverage market in key geographies covering North America, Latin America, Europe, Asia Pacific, and Middle East & Africa. The regional analysis offers an idea about the production and consumption pattern, import/export, supply and demand ratio, revenue contribution, market share and size, and the presence of prominent players in each region.
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Leading Companies of the Artificial Intelligence (AI) in Food and Beverage Industry and Profiled in the Report are:
Raytec Vision S.p.A., Rockwell Automation Inc., ABB Ltd., Honeywell International Inc., Key Technology Inc., TOMRA Sorting Solutions AS, GREEFA, Sesotec, Sight Machine Inc., and AGCO Corporation
The global Artificial Intelligence (AI) in Food and Beverage market report covers the analysis of drivers, trends, limitations, restraints, and challenges arising in the Artificial Intelligence (AI) in Food and Beverage market. The report also discusses the impact of various other market factors affecting the growth of the market across various segments and regions. The report segments the market on the basis of types, applications, and regions to impart a better understanding of the Artificial Intelligence (AI) in Food and Beverage market.
End-use Outlook (Revenue, USD Billion; 2021–2028)
- Hotel and Restaurant
- Food Processing Industry
- Beverage Industry
Application Outlook (Revenue, USD Billion; 2021–2028)
- Consumer Engagement
- Maintenance
- Food Sorting
- Production and Packaging
- Quality Control and Safety Compliance
- Other Applications
Regional Outlook (Revenue, USD Billion; 2021–2028)
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- BENELUX
- Rest of Europe
- Asia Pacific
- China
- India
- Japan
- South Korea
- Rest of APAC
- Latin America
- Brazil
- Rest of LATAM
- Middle East & Africa
- Saudi Arabia
- UAE
- South Africa
- Rest of MEA
- North America
The report, additionally, presents a comprehensive analysis of the key elements of the Artificial Intelligence (AI) in Food and Beverage market that influence its growth over the projected timeline. These vital elements include the key drivers, constraints, opportunities, limitations, threats, and micro and macro-economic factors. The authors of the report have implemented a set of analytical tools, such as SWOT analysis, Porter’s Five Forces analysis, feasibility analysis, and investment return analysis, to offer strategic recommendations to the new entrants on how to overcome the entry-level barriers.
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