The article cited AMA's Global AI In Food & Beverages Market Study explored substantial growth with CAGR of 6.6%. According the report, Introduction of IOT Integrates Smart Machines, Warehouses, Robots is one of the primary growth factors for the market. Rising Demand Due To Innovative Packaging is also expected to contribute significantly to the AI In Food & Beverages market. Overall, Food Sorting applications of AI In Food & Beverages, and the growing awareness of them, is what makes this segment of the industry important to its overall growth.

AMA’s Analyst on the Global AI In Food & Beverages market identified that the demand is rising in many different parts of the world as "Rising Opportunity in AI Application for Improvement of Product Design, Quality Control and Maintenance". Furthermore, some recent industry insights like "In January 2018, Tomra Sorting Recycling has signed a contract with SKM Recycling (SKM) to provide automated sorting technology. Tomra is projected to provide 40 Autosort units featuring proprietary 3D laser technology for SKM's three new sorting facilities in Australia to reduce wastage." is constantly making the industry dynamic. One of the challenges that industry facing is "Limited Automation in the F&B Industry in Developing Countries"

The End User, such as Hotels & Restaurants, is boosting the AI In Food & Beverages market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The report provides an in-depth analysis and forecast about the industry covering the following key features:
o Industry outlook including current and future market trends, drivers, restraints, and emerging technologies
o Analyses the Global AI In Food & Beverages market according to Type, Application, and regions
o Analyzes the top 10 players in terms of market reach, business strategy, and business focus
o Provides stakeholders’ insights and key drivers & trends of the market

Market Size Estimation
In market engineering method, both top-down and bottom-up approaches have been used, along with various data triangulation process, to predict and validate the market size of the AI In Food & Beverages market and other related sub-markets covered in the study.

o Key & emerging players in the AI In Food & Beverages market have been observed through secondary research.
o The industry’s supply chain and overall market size, in terms of value, have been derived through primary and secondary research processes.
o All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation
The overall AI In Food & Beverages market size is calculated using market estimation process, the AI In Food & Beverages market was further split into various segments and sub-segments. To complete the overall market engineering and arriving at the exact statistics for all segments and sub-segments, the market breakdown and data triangulation procedures have been utilized, wherever applicable. The data have been triangulated by studying various influencing factors and trends identified from both demand and supply sides of various applications involved in the study. Along with this, the Global AI In Food & Beverages market size has been validated using both top-down and bottom-up approaches.