AI In Food & Beverage Market 2020-2026

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AI In Food Beverage Market
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?According to BlueWeave Consulting, The global AI
in food beverages Market expected to reach US
12.58 billion in 2026 with a lucrative CAGR of
42.5. Key factors driving growth are the growing
need to reduce the cost of food beverage,
raising the value of big data in food beverage,
increasing adoption of precision medicine and
increasing the cost of hardware. Increasing
applicability of AI-based medical care
technologies and increasing venture capital
funding can also be attributed to the surge in
demand for this technology. CarePrevist, Inc.,
for example. Uses AI technology to track changes
in behavioral patterns and activity for early
prediction of health problems. Increasing number
of cross-industry collaborations are expected to
improve the adoption of AI by the food beverage
sector which is also responsible for its
lucrative rate of growth. In September 2018 GNS
food beverage entered into a cross-industry
agreement with Alliance and Amgen to perform
clinical oncology studies. The goal of the
collaboration was to use data from clinical
trials and artificial intelligence (AI) to
identify factors that enhance treatment responses
in patients with colorectal metastatic cancer
(CRC).
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Growth drivers Growing Need for Analysis of
Consumer Buying Behavior and Prediction of
Inventory Levels to Reduce Food Wastage 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.  Read
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d--beverage-market-bwc19398/report-sample