AI in Food & Beverages Market Size

Artificial Intelligence (AI) in Food & Beverage Market Analysis

The AI in Food & Beverages Market size is estimated at USD 9.68 billion in 2024, and is expected to reach USD 48.99 billion by 2029, growing at a CAGR of 38.30% during the forecast period (2024-2029).

Changes in consumer demands toward preferring fast, affordable, and easily accessible food options have transformed the food and beverage industry. Market leaders leverage advanced technologies, such as artificial intelligence and machine learning, to scale operations and help companies stay relevant in a dynamic market environment.

• AI has gained prominence over the last few years, with many companies actively investing in exploring the technology potential in the industry. This emerging AI technology is helping F&B companies with supply chain management through logistics, predictive analytics, and transparency.
• For instance, in August 2022, Rockwell Automation released cost-effective photoelectric sensors ideal for material handling, packaging, and assembly applications to address industries' small form factor needs like food and beverage and household. The 42EA RightSight S18 line of sensors offers the performance of more comprehensive solutions in a smaller, more versatile package to deliver excellent detection capabilities where size and shape matter.
• Organizations are rapidly digitizing their supply chain to differentiate and drive revenue growth, improving efficiency across the supply chain. Supply chains are generating massive amounts of data, and AI is helping organizations to analyze this data and better understand variables in the supply chain by anticipating future scenarios.
• AI in supply chains is helping businesses to innovate rapidly by reducing the time to market and establishing an agile supply chain capable of foreseeing and dealing with uncertainties. It is driving AI growth in the food and beverage sector.
• AI provides many benefits to the F&B industry, but the high cost of large-scale deployment in the sector restricts the market growth. One of the challenges of the food processing industry is its feedstock, which can only be found to be uniform. It is seen that food storage is done with the help of manual labor. But with AI, this sorting process can be automated, ultimately reducing labor costs, increasing speed, and improving yields.
• For instance, in July last year, SORTEX A GlowVision launched in London and is available in three to five chute models on a five-module frame. It features a custom-built inspection system explicitly designed for PET sorting. It will greatly interest PET processors looking to reduce contamination levels on key color and polymer defects, providing one of the most comprehensive solutions on the market.
• Companies with the fortune of established data analytics capabilities and a team of competent developers can safely build their AI platforms. F&B players without such resources seek solutions and providers with clearly defined goals, needs, and budgets.