Artificial intelligence is transforming the genetically modified (GM) foods industry by speeding up trait discovery, improving seed development, and predicting crop performance across different environments. It enables faster R&D, reduces regulatory uncertainty, and supports quicker commercialization of GM crops. By integrating data from genomics, satellites, soil, and climate models, AI helps predict trait outcomes before field testing, significantly improving efficiency and success rates.
Report Includes
- Impact analysis of artificial intelligence (AI) on the global genetically modified foods market
- Case studies for successful integration of AI, machine learning and data analytics in crop trait development, yield optimization, quality assessment and food safety
- Highlights of AI adoption trends across major geographical regions, as well as disruptions caused by AI across key agriculture, food & beverage and biotechnology industry verticals
- AI’s role in product development, regulatory compliance, supply chain management and market intelligence
- Review of AI impact on the various stages of the global genetically modified foods value chain and supply chain analysis
- Competitive landscape featuring key strategic initiatives, market spendings and an investment outlook
Table of Contents
Chapter 1 Key Use Cases for AI Adoption in the Genetically Modified Foods
Chapter 2 AI Adoption Trends
Chapter 3 AI Disruption Trends
Chapter 4 Market Spending and Investment Scenario
Chapter 5 Abbreviations
List of Tables
List of Figures
