AI in Agriculture Market is Expected to Grow USD Million| Business Statistics, Development Data, Forecast Period 2022-2028

(The Express Wire via Comtex)

A new market study on Global AI in Agriculture Market 2022 with data Tables, Pie Chart and Graphs is published to provide complete assessment of the Market highlighting evolving trends, current-to-future scenario analysis and growth factors validated with expert’s view. The study breaks market by revenue and volume and price history estimates for AI in Agriculture.

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List of TOP KEY PLAYERS in AI in Agriculture Market Report are: -

● Ag Leader Technology
● Trimble
● John Deere
● Iteris
● aWhere
● Gamaya
● Granular
● Raven Industries
● Prospera
● Skysquirrel Technologies

New product launches and continuous technological innovations are the key strategies adopted by the major players. This section includes company profiles of market key players which include contact information, capacity, product details of each firm, price, and cost are covered. AI in Agriculture market report investigates new project feasibility with the purpose of enlightening new entrants about the possibilities in this market. In this report, thorough SWOT analysis and investment analysis are provided which forecasts imminent opportunities for the AI in Agriculture market players.

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This report studies the global AI in Agriculture market competition landscape, market drivers and trends, opportunities and challenges, risks and entry barriers, sales channels, distributors and Forecast Analysis. The growing demand for AI in Agriculture has provided a major boost to the Global AI in Agriculture Market as more people are shifting their preferences to this growing sector. The market is expected to keep rising at a high CAGR and reach values of high millions by the end of the forecast period of 2022 up to 2028.

The Latest research study released by expert Global AI in Agriculture Market with analysis on business Strategy taken up by key and emerging industry players and delivers know how of the current market development, landscape, technologies, drivers, opportunities, market viewpoint and status. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

AI in Agriculture Market Segmentation:

AI in Agriculture Market product type:

● Machine Learning
● Computer Vision
● Predictive Analytics

AI in Agriculture Market end-users/application, this report covers the following segments

● Precision Farming
● Livestock Monitoring
● Drone Analytics
● Agriculture Robots
● Others

AI in Agriculture Market Growth and Trends Analysis:

This report provides comprehensive analysis of the emerging Point-of-Care testing market segments, including their dynamics, size, growth, regulatory requirements, technological trends, competitive landscape, and emerging opportunities for instrument and consumable suppliers. This report will help diagnostic instrument and reagent suppliers develop more effective business, RandD and marketing strategies. Additionally, type-wise and application-wise consumption tables and figures of the AI in Agriculture market are also given. It also distinguishes the market based on geographical regions. The major regions covered in this report are North America, Europe, Asia-Pacific, South America, Middle East.

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Pandemic impact on the Global AI in Agriculture Market:

● The AI in Agriculture industry experienced decline in sector during the COVID-19 pandemic. This is attributed to the sharp decrease in construction, automotive, and industrial sectors.
● Manufacturing companies has prolonged closure of all its operations at its workplaces and manufacturing areas, until reopening instructions received from the government authorities.
● In addition, due to reduction in labors in light of social distancing norms amid the COVID-19 pandemic, the thermal spray coating industry witnessed significant decrease in the production.

AI in Agriculture Market Size and Shares Analysis:

Artificial intelligence (AI) is a program that can adapt itself to execute tasks in real-time situations using cognitive processing as the human mind. As the program can analyze and adapt itself to real-time situations, it does not require constant supervision. In the agriculture industry, on the basis of application, AI technology has been segmented into robotics, crop and soil management, and animal husbandry.

Based on technology, the AI in agriculture market has been classified into machine learning, computer vision, and predictive analytics. Machine learning held the largest market size owing to the growing adoption of this technology for various applications of agriculture such as precision farming, drone analytics, agriculture robots, and livestock monitoring.

According to our latest research, the global AI in Agriculture market size will reach USD 1606 million in 2028, growing at a CAGR of 12.8% over the analysis period 2022-2028.

Global AI in Agriculture Scope and Market Size

This report focuses on the global AI in Agriculture status, future forecast, growth opportunity, key market and key players. The study objectives are to present the AI in Agriculture development in North America, Europe, China, Japan, Southeast Asia, India and Central and South America, etc.

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Key Questions Answered:

● What is the market size and growth rate of the global and regional market by various segments?
● Which region or sub-segment is expected to drive the AI in Agriculture market in the forecast period?
● What factors are estimated to drive and restrain the market growth?
● What are the key technologies and market trends shaping the AI in Agriculture market?
● What are the key opportunities in the market?
● What are the key companies operating in the market?
● Which company accounted for the highest market growth?

AI in Agriculture Market Forecast:

● Historical Years: 2017-2022
● Base Year: 2022
● Estimated Year: 2022
● Forecast Period: 2022-2028

Detailed TOC of Global AI in Agriculture Market Report 2022

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI in Agriculture Market Size Growth Rate by Type (2022-2028)
1.2.2 Machine Learning
1.2.3 Computer Vision
1.2.4 Predictive Analytics
1.3 Market by Application
1.3.1 Global AI in Agriculture Market Share by Application (2022-2028)
1.3.2 Precision Farming
1.3.3 Livestock Monitoring
1.3.4 Drone Analytics
1.3.5 Agriculture Robots
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered

2 Executive Summary
2.1 Global AI in Agriculture Market Size
2.2 AI in Agriculture Market Size by Regions
2.2.1 AI in Agriculture Growth Rate by Regions (2022-2028)
2.2.2 AI in Agriculture Market Share by Regions (2022-2028)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Use Cases

3 Key Players
3.1 AI in Agriculture Revenue by Players (2022 and 2028)
3.2 AI in Agriculture Key Players Headquarters and Area Served
3.3 Key Players AI in Agriculture Product/Solution/Service
3.4 Date of Enter into AI in Agriculture Market
3.5 Mergers and Acquisitions, Expansion Plans

4 Breakdown by Type and by Application
4.1 Global AI in Agriculture Market Size by Type (2022-2028)
4.2 Global AI in Agriculture Market Size by Application (2022-2028)

5 North America
5.1 North America AI in Agriculture Market Forecast (2022-2028)
5.2 AI in Agriculture Key Players in North America
5.3 North America AI in Agriculture Market Size by Type
5.4 North America AI in Agriculture Market Size by Application

6 Europe

……….to be continued

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