Sun, 17 Jan 2021

Latest released the research study on Global AI in Agriculture Market, offers a detailed overview of the factors influencing the global business scope. AI in Agriculture Market research report shows the latest market insights, current situation analysis with upcoming trends and breakdown of the products and services. The report provides key statistics on the market status, size, share, growth factors of the AI in Agriculture. The study covers emerging player's data, including: competitive landscape, sales, revenue and global market share of top manufacturers are IBM (United States), John Deere Company (United States), Intel (United States), Google (United States), Microsoft (United States), NVIDIA Corporation (United States), Sentient Technologies (United States), Numenta Inc. (United States), Agribotix (United States), The Climate Corporation (Subsidiary of Monsanto) (United States)

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Definition:

Agricultural AI refers to the use artificial intelligence in Agriculture. Agricultural AI helps to predict analysis. Fueling Demand artificial intelligence techniques such as Cattle Face Recognition Technology, precision agricultural, drone analytics, agriculture robots, and livestock observing will help to boost the global agriculture AI market.

COVID-19 has majorly affected the overall global businesses and it will take a huge time for the business recovery. Majority of the industry sectors have realigned their business strategies, priorities, and have amended their economic planning in order to remain in the business and retain their position on the global platform. The exhaustive analysis of the AI in Agriculture market will help the new market entrants to obtain reliable market strategies and plan strong action plans for the forecast period.

AI in Agriculture Market Segmentation & Market Data Breakdown:

Study by Application (Precision Farming , Livestock Monitoring , Drone Analytics , Agriculture Robots , Other Applications , By), Technology (Machine Learning, Computer Vision, Predictive Analytics), Offerings (Hardware, Software, AI-As-A-Service)

Market Drivers

Rising Demand of Cattle Face Recognition Technology

Increasing Dependency on Machine Learning Based Technology

Growing Demand of Agriculture Production

Market Trend

Adoption of Advanced Robotic Technology

Introduction of IOT based technology

Market Restraints:

High Cost of AI Technology

Lack of Understanding

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Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

What benefits does AMA research study is going to provide?

  • Latest industry influencing trends and development scenario
  • Open up New Markets
  • To Seize powerful market opportunities
  • Key decision in planning and to further expand market share
  • Identify Key Business Segments, Market proposition & Gap Analysis
  • Assisting in allocating marketing investments

Strategic Points Covered in Table of Content of Global AI in Agriculture Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Global AI in Agriculture market

Chapter 2: Exclusive Summary – the basic information of the Global AI in Agriculture Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the Global AI in Agriculture

Chapter 4: Presenting the Global AI in Agriculture Market Factor Analysis Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region 2013-2020

Chapter 6: Evaluating the leading manufacturers of the Global AI in Agriculture market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by manufacturers with revenue share and sales by key countries in these various regions.

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

Finally, Global AI in Agriculture Market is a valuable source of guidance for individuals and companies.

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Key Questions Addressed in the Report

  • Who are the top 20 players operating in the Global AI in Agriculture market?
  • What covers the drivers, restraints, opportunities, and challenges in the AI in Agriculture industry?
  • What are the growth trends in the market at the segmental and overall market levels?
  • Which are the untapped emerging regions in the AI in Agriculture market?
  • What are the recent application areas in the market?

Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

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Contact Information:

Craig Francis (PR & Marketing Manager)

AMA Research & Media LLP

Unit No. 429, Parsonage Road Edison, NJ

New Jersey USA - 08837

Phone: +1 (206) 317 1218

sales@advancemarketanalytics.com

Connect with us at

https://www.linkedin.com/company/advance-market-analytics

https://www.facebook.com/AMA-Research-Media-LLP-344722399585916

https://twitter.com/amareport

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