AI in Food & Beverage Market Forecast and Trends
The global market of AI in
Food & Beverage projected a CAGR rise of 42.5% to reach USD 12.58 billion
by 2026. Changes in consumer demand to favor easy, inexpensive and easily
accessible food options have resulted in a transformation in the food and
beverage industry, with market leaders leveraging advanced technologies such as
artificial intelligence and machine learning to scale up operations and helping
businesses remain relevant in a challenging market environment. To distinguish
and also to fuel revenue growth, companies are increasingly digitizing their
supply chain, which improves efficiency across the supply chain. Supply chains
produce massive amounts of data, in which AI helps the company analyze these
data and gain a better understanding of supply chain variables by predicting
AI in Food & Beverage Market: Overview
Artificial Intelligence (AI)
is a process of producing smart machines that function and react like humans.
The aim is to teach the machines just the way humans think intelligently. The
computers have done what they were told to do so up to now. But they'll think
and behave like a human with AI machines. The food processing industry
leverages the AI to improve different offers, automate processes and deliver
better customer experience. Innovations in the automation industry have started
to affect the other industrial processes. Food and beverage industries are also
rapidly transforming and have improved the various ways food is packaged and
delivered. Despite facing several challenges to move towards automation, the
food industry has managed to put in place a number of automatic processes. Food
manufacturers are exploring various ways of improving efficiency through
automation, whether it is actual food production or packaging.
Growing Need for Analysis of
Consumer Buying Behavior and Prediction of Inventory Levels to Reduce Food
With every passing day, the
rising number of customers to be addressed by food and beverage companies is
overwhelming and it needs enormous efforts to engage with customers. Using
AI-enabled algorithms, Artificial Intelligence uses data derived from past
records, so that sales-related outcomes can be predicted for a specified time.
AI mainly helps food producers and retailers understand their customers better.
The companies will be able to recognize the tastes and preferences of the
consumers, which would help them anticipate potential sales trends for their
goods. They would also be able to identify with those clients who engage with
them repeatedly and predict their buying patterns. This would help them stock
up on their inventories.
Growing Demand for
Implementation of AI for Improving Supply Chain Processes
With supply chain continuing
to be a major struggle to cope with in many F&B enterprises, AI can help
bring about transparency in enterprise operations by managing the supply chain
effectively. According to the United Nations Food and Agriculture Organization
(FAO), nearly 1.3 billion tons of food produced, which accounts for an
estimated one-third of the world's food produced for human consumption, goes
waste each year. Food losses and waste were high in industrialized countries
while food losses and waste were estimated at USD XXX billion in developing
countries. Because of these reasons, AI may play an important role in
monitoring food and beverages from the farmer, producer, and distributor until
the supply chain ends. AI will help track the goods and also help to ensure
that the food consumed is healthy by recognizing any particularities.
Requirement for Automated
Sorting Of Food Products
Industries take considerable
time to figure out the food items and materials. AI will help companies conduct
fast and effortless sorting, as the sensor-based optical sorting technique that
it applies can save companies significant time and effort on sorting. By
automated sorting, the businesses will also be able to reduce labor costs.
Therefore, businesses have a huge opportunity to make money by reducing waste
and increasing yields, therefore ensuring better quality.
Compliances related to Food and Safety Processes
Food and beverage
manufacturers face the challenge of meeting strict food and safety-related regulatory
compliances. In fact, there is a need to monitor the inventory and ensure the
quality of food at all times, as these entail significant operational costs.
Because of these factors, companies run the risk of huge financial losses.
Costs of Upgradations of Machines/Equipment
Thus automation in food
processing and packaging is considered to increase productivity and efficiency,
with machines performing the tasks continuously at a faster rate, these
machines must be continually upgraded or new acquisitions of equipment must be
made to meet customers ' demands. The high cost of such machines engaged in
food processing and packaging will prolong the decision-making process as to
how to proceed further for organizations.
AI in Food & Beverage Market: Application
On the basis of its
application, the market is segmented into food processing, quality control,
customer interaction, production & packaging, maintenance and so on, from
which the production and packaging segment is expected to hold the largest
market share, due to the increasing demand for a variety of modern and
ready-made packaging as demand for food exports is picked up, need to be
AI in Food & Beverage Market: Regional Insights
On the basis of regional analysis, the global artificial
intelligence in food and beverages market is segmented into five major regions
including North America, Europe, Asia Pacific, Latin America and Middle East
& Africa region. The market in North America is estimated to occupy the highest
market share, owing to the general preference and enthusiasm shown by the
general population in the region towards adopting AI in food and beverages.
Agriculture and its allied industries that include food and beverages have
created about 21.6 billion jobs that covers nearly 11% of the employment in the
United States of America. The market in Asia Pacific region especially in
countries such as China and India is anticipated to grow at a high rate, owing
to AI in Food and Beverages Industry being embraced by market players in the
region at a faster rate.
Artificial intelligence in
Food & Beverage market is fragmented owing to the presence of number of
large-sized companies, mid-sized & small-sized companies, and many
start-ups that provide artificial intelligence in Food & Beverage industry.
However, the companies that hold the majority share of artificial intelligence
in Food & Beverage market are Raytec Vision SpA, Rockwell Automation Inc.,
ABB Ltd, Honeywell International Inc., Key Technology Inc., TOMRA Sorting
Solutions AS, GREEFA, Sesotec GmbH, Martec of Whitell Ltd, Sight Machine Inc.
and Other Prominent Players.
- TOMRA Sorting Recycling has released TOMRA Insight, a cloud-based data
application that opens new opportunities for users of equipment to be sorted.
This can turn the sorting from an automated method into a fact-based
decision-making management tool at every stage of the value and supply chain.
- VERYX wireless sorters for fresh-cut leafy greens were introduced at Key
Technology. VERYX is the only belt-fed sorter in the world capable of
inspecting fully in-air product with top and bottom sensors to detect and
remove both foreign materials (FM) and product defects. These integrated VERYX
systems are specifically designed to deal with the challenges of sorting leafy
greens by incorporating Key's experience in sorting and conveying.
of the Report
Historical data – 2016-2019
Base Year – 2019
Forecast – 2020 – 2026
Revenue in USD Billion/Billion
U.S, Canada, Germany, UK, France, Italy,
Spain, Brazil, Mexico, Argentina, Japan, South Korea, China, India, UAE,
South Africa, Saudi Arabia
By Application, By End-User, By Region
Raytec Vision SpA, Rockwell Automation Inc., ABB Ltd, Honeywell
International Inc., Key Technology Inc., TOMRA Sorting Solutions AS, GREEFA,
Sesotec GmbH, Martec of Whitell Ltd, Sight Machine Inc. and Other Prominent
Quality Control and
Production & Packaging
Middle East & Africa
objective of the Study:
To analyze and forecast the global AI in Food
& Beverage market size of the market in terms of value.
To examine the careful market segmentation
and forecast the market size, in terms of value, based on the region by
The Global AI in Food & Beverage market
segmented into five regions, namely, North America, Europe, Asia Pacific,
Middle East, South America, and their leading countries.
To outline, categorized, and forecast the
global AI in Food & Beverage market based on the application, and end-user
coupled with the region.
To examine competitive developments like
technological advancement, services, and regulative framework within the global
AI in Food & Beverage market.
To highlight the impact analysis of the
factors affecting the market dynamics such as drivers, restraints,
opportunities, and challenges.
To strategically profile the key players and
comprehensively analyze their market shares along with detailing the
competitive landscape for market leaders.