Global Artificial Intelligence In Agriculture Market Research Report 2020-2025 is a valuable source of insightful data for business strategists. It provides the industry overview with growth analysis and historical & futuristic cost, revenue, demand and supply data (as applicable). The research analysts provide an elaborate description of the value chain and its distributor analysis. This Market study provides comprehensive data which enhances the understanding, scope and application of this report.
The global Artificial Intelligence in agriculture market is witnessing a CAGR of 26.2% during the forecast period (2019-2024).
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Top Key Players in the Global Artificial Intelligence In Agriculture Market: Microsoft Corp., IBM Corp. (NITI Aayog), Agribotix LLC, etc.
May 2019 – XAG, a Chinese firm, presented its innovative solutions of combining drones with AI and IoT technology to achieve precision agriculture and induce transformational changes to the food system in 3rd AI for Good Global Summit, in Geneva. XAG is driving AI-powered intelligent devices such as drones and sensors to establish digital farming infrastructure in rural areas and enable precision agriculture which, for example, accurately targets pesticides, seeds, fertilizers, and water to wherever it is needed.
Key Market Trends:
Labor Shortage and Increasing Costs of Labor to Drive the Artificial Intelligence Market
Across the world, a huge decline of the workforce is observed due to many reasons, like the lack of skilled labor, aging of farmers, and young farmers finding farming an unattractive profession, thus encouraging trends for automated farming operations. According to the International Labor Organization(ILO), agricultural labors in the percentage of the workforce declined from 81% to 48.2% in developing countries. Also, developed countries are not an exception in such a huge decline. Asia-Pacific, where agriculture occupies a major part of the economy, has a huge decline in workforce, which was nearly about 9% from 2015 to 2017. In Japan, the number of people working in farms witnessed a steep fall to 1.7 million in the year 2015, a 15% decline from the previous year.
The European agriculture sector has also faced such a huge decline in the workforce, which is nearly accounting to 12.8% for the corresponding period. The trend of decline in the agricultural workforce is encouraging government and private organizations to focus on automation operations by adopting artificial intelligence technologies in the agriculture sector. Owing to the above factors, the market for artificial intelligence in the agricultural sector is likely to boom in the years to come.
Regional Analysis for Market:
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, etc.)
Middle East & Africa (Saudi Arabia, Egypt, Nigeria and South Africa)
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China’s Technological Innovations to Accelerate the Agriculture Sector
The technological innovations pertaining to the Chinese market, are also accelerating the growth and transforming the global artificial intelligence market in the agriculture sector. For instance, McFly’s Intelligent agricultural monitoring drone, GAGO’s large scale application of AI technology in crop production and livestock farming, and UniStrong’s “Huinong” Beidou navigation agricultural automatic driving system are few recent innovations prevailing in the Chinese Ai sector. Additionally, few technological giants have also begun to make deployment in the agricultural sector. For instance in the year 2018, JD.com’s “Jing Dong Farm” has made its debut, similarly in June 2018, Alibaba’s Et agricultural brain has been launched. Thus, increasing innovation in the Chinese AI sector is likely to further boost the adoption of AI in the agriculture in the coming future.
Influence of the Artificial Intelligence In Agriculture Market report:
-Comprehensive assessment of all opportunities and risk in the Artificial Intelligence In Agriculture Market.
-Artificial Intelligence In Agriculture Market recent innovations and major events.
-Detailed study of business strategies for growth of the Artificial Intelligence In Agriculture Market -leading players.
-Conclusive study about the growth plot of Artificial Intelligence In Agriculture Market for forthcoming years.
-In-depth understanding of Artificial Intelligence In Agriculture Market -particular drivers, constraints and major micro markets.
-Favorable impression inside vital technological and market latest trends striking the Artificial Intelligence In Agriculture Market.
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What are the market factors that are explained in the report?
-Key Strategic Developments: The study also includes the key strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market on a global and regional scale.
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-Analytical Tools: The Global Artificial Intelligence In Agriculture Market report includes the accurately studied and assessed data of the key industry players and their scope in the market by means of a number of analytical tools. The analytical tools such as Porter’s five forces analysis, SWOT analysis, feasibility study, and investment return analysis have been used to analyze the growth of the key players operating in the market.
The research includes historic data from 2015 to 2019 and forecasts until 2025 which makes the reports an invaluable resource for industry executives, marketing, sales and product managers, consultants, analysts, and other people looking for key industry data in readily accessible documents with clearly presented tables and graphs.
Finally, Artificial Intelligence In Agriculture Market report is the believable source for gaining the Market research that will exponentially accelerate your business. The report gives the principle locale, economic situations with the item value, benefit, limit, generation, supply, request and Market development rate and figure and so on. This report additionally Present new task SWOT examination, speculation attainability investigation, and venture return investigation.
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