Demand for Incorporation of AI in Agriculture Set to Boom in Asia-Pacific in Future

Globally, the AI in agriculture market will demonstrate the highest growth rate in the Asia-Pacific (APAC) region in the upcoming years, as per the estimates of P&S Intelligence, a market research firm based in India. The rate of usage of smart agriculture methods such as agricultural robots, precision farming, and drone analytics is predicted to increase sharply, especially in the developing nations such as Thailand, Indonesia, and China in the future years.

Depending on type, the AI in agriculture market is divided into service and product. Between these, the product category recorded higher growth in the market in the past years. Moreover, in the near future, the mushrooming utilization of AI-based software would propel the market advancement across the globe. This category is further classified into software and hardware, between which, the hardware division registered higher growth in the market in the past. 

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The rising requirement for higher crop yield and agricultural produce, on account of the increasing disposable income of people in several countries such as India, China, Brazil, and the U.S., changing consumer preferences, surging population, and rapid urbanization, is pushing up the demand for the incorporation of artificial intelligence (AI) in agriculture.

Moreover, due to the growing demand for food products, major agricultural nations are increasingly leveraging AI solutions and systems for increasing the agricultural productivity. This market research report provides a comprehensive overview of the AI in agriculture market

• Historical and the present size of the AI in agriculture market
• Future potential of the market through its forecast for the period 2020– 2030
• Major factors driving the market and their impact during the short, medium, and long terms
• Market restraints and their impact during the short, medium, and long terms
• Recent trends and evolving opportunities for the market participants
• Historical and the present size of the market segments and understand their comparative future potential