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Artificial Intelligence (AI) in Agriculture Market Status and Forecast by Region, Product Types and End- USE 2020-2026 | canbio, AMAG Pharmaceuticals, ViaCord, Thermo Fisher, Wuxi Apptec, CordLife, Esperite, Reliance Life Sciences, Lifecell, Cryo-Cell, To

11-20-2020 10:08 PM CET | IT, New Media & Software

Press release from: Worldwide Market Reports

Worldwide Market Reports

Worldwide Market Reports

Artificial Intelligence (AI) in Agriculture Market size is being driven by the growing adoption of the robots in agriculture. Increasing consumption and rising requirement of better yield of crops are estimated to be one of the major factors that is fueling the demand of robots in agriculture. Increasing consumption motivates farmers to scale up farming operations and give rise to the requirement of automating farming operations. As the farmers are shifting more towards automation, drones and robots have become integral part of agriculture farms and are enhancing yield and improving the product quality. Since AI is the backbone of robotics, increasing adoption of robots in agriculture is estimated to drive the AI in agriculture market growth.

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This report studies the Artificial Intelligence (AI) in Agriculture market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; also, key Artificial Intelligence (AI) in Agriculture Market players influencing the market are profiled in the study along with their SWOT analysis and market strategies. The report also focuses on leading industry players with information such as company profiles, products, and services offered, financial information of the last 3 years, key development in past five years.

Leading Artificial Intelligence (AI) in Agriculture Market Players:

SGS Life Sciences, Lonza, CCBC, Vcanbio, AMAG Pharmaceuticals, ViaCord, Thermo Fisher, Wuxi Apptec, CordLife, Esperite, Reliance Life Sciences, Lifecell, Cryo-Cell, Toxikon, Goodwin Biotechnology, Texcell, and Cryo Stemcell.

United States is the largest consumption countries of Artificial Intelligence (AI) in Agriculture in the world in the past few years and it will keep leader position in the next few years. United States market took up about 42.96% the global market in 2017, while Europe was about 22.67%.

USA is now the key developers of Artificial Intelligence (AI) in Agriculture; most companies are in USA. Others are in Europe, China and India.

The global Artificial Intelligence (AI) in Agriculture market is valued at 240 million USD in 2018 and is expected to reach 790 million USD by the end of 2024, growing at a CAGR of 21.8% between 2019 and 2024.

The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Artificial Intelligence (AI) in Agriculture.

The Artificial Intelligence (AI) in Agriculture Market report gives a 360-degree holistic view of the market and highlights the key developments, drivers, restraints and future trends with impact analysis of these trends on the market for short-term, mid-term and long-term during the forecast period. In addition, the report also provides profiles of major companies along with detailed SWOT analysis, financial facts and key developments of products/service from the past three years.

Artificial Intelligence (AI) in Agriculture Market is a specialized and in-depth study of the Artificial Intelligence (AI) in Agriculture industry with a focus on the global market trend. The report provides an overview of global Artificial Intelligence (AI) in Agriculture Market with detailed market segmentation by product/application and regions.

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Reason to Buy

1. Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global Artificial Intelligence (AI) in Agriculture Market
2. Highlights key business priorities in order to assist companies to realign their business strategies.
3. The key findings and recommendations highlight crucial progressive industry trends in the Artificial Intelligence (AI) in Agriculture Market, thereby allowing players to develop effective long term strategies.
4. Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
5. Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it.
6. Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation, and industry verticals.

Published by Vishal

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