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Mar 27, 2023 (The Expresswire) —
The “AI in Agriculture Market” Study Describes how the technology industry is evolving and how major and emerging players in the industry are responding to long term opportunities and short-term challenges they face. One major attraction about AI in Agriculture Industry is its growth rate. Many major technology players are [Ag Leader Technology, Trimble, John Deere, Iteris, AGCO, aWhere, Gamaya, Granular, Raven Industries, Prospera, Skysquirrel Technologies] have been looking into AI in Agriculture as a way to increase their market share and reach towards consumers.
What is the AI in Agriculture market growth?
AI in Agriculture Market Size is projected to Reach Multimillion USD by 2028, In comparison to 2023, at unexpected CAGR during the forecast Period 2023-2028.
Browse Detailed TOC, Tables and Figures with Charts which is spread across 82 Pages that provides exclusive data, information, vital statistics, trends, and competitive landscape details in this niche sector.
Client Focus
1. Does this report consider the impact of COVID-19 and the Russia-Ukraine war on the AI in Agriculture market?
Yes. As the COVID-19 and the Russia-Ukraine war are profoundly affecting the global supply chain relationship and raw material price system, we have definitely taken them into consideration throughout the research, and in Chapters, we elaborate at full length on the impact of the pandemic and the war on the AI in Agriculture Industry
Final Report will add the analysis of the impact of Russia-Ukraine War and COVID-19 on this AI in Agriculture Industry.
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This research report is the result of an extensive primary and secondary research effort into the AI in Agriculture market. It provides a thorough overview of the market’s current and future objectives, along with a competitive analysis of the industry, broken down by application, type and regional trends. It also provides a dashboard overview of the past and present performance of leading companies. A variety of methodologies and analyses are used in the research to ensure accurate and comprehensive information about the AI in Agriculture Market.
Which are the driving factors of the AI in Agriculture market?
Growing demand for [Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others] around the world has had a direct impact on the growth of the AI in Agriculture
The AI in Agriculture segments and sub-section of the market are illuminated below:
Based on Product Types the Market is categorized into [Machine Learning, Computer Vision, Predictive Analytics] that held the largest AI in Agriculture market share In 2022.
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AI in Agriculture Market – Competitive and Segmentation Analysis:
2.How do you determine the list of the key players included in the report?
With the aim of clearly revealing the competitive situation of the industry, we concretely analyze not only the leading enterprises that have a voice on a global scale, but also the regional small and medium-sized companies that play key roles and have plenty of potential growth.
Short Description About AI in Agriculture Market:
The Global AI in Agriculture market is anticipated to rise at a considerable rate during the forecast period, between 2022 and 2028. In 2021, the market is growing at a steady rate and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.
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 12.8Percent 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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3.What are your main data sources?
Both Primary and Secondary data sources are being used while compiling the report.
Primary sources include extensive interviews of key opinion leaders and industry experts (such as experienced front-line staff, directors, CEOs, and marketing executives), downstream distributors, as well as end-users. Secondary sources include the research of the annual and financial reports of the top companies, public files, new journals, etc. We also cooperate with some third-party databases.
Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historical data and forecast (2017-2027) of the following regions are covered in Chapters:
● North America (United States, Canada and Mexico) ● Europe (Germany, UK, France, Italy, Russia and Turkey etc.) ● Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam) ● South America (Brazil, Argentina, Columbia etc.) ● Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
This AI in Agriculture Market Research/Analysis Report Contains Answers to your following Questions
● What are the global trends in the AI in Agriculture market? Would the market witness an increase or decline in the demand in the coming years? ● What is the estimated demand for different types of products in AI in Agriculture? What are the upcoming industry applications and trends for AI in Agriculture market? ● What Are Projections of Global AI in Agriculture Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit? What Will Be Market Share, Supply and Consumption? What about Import and Export? ● Where will the strategic developments take the industry in the mid to long-term? ● What are the factors contributing to the final price of AI in Agriculture? What are the raw materials used for AI in Agriculture manufacturing? ● How big is the opportunity for the AI in Agriculture market? How will the increasing adoption of AI in Agriculture for mining impact the growth rate of the overall market? ● How much is the global AI in Agriculture market worth? What was the value of the market In 2022? ● Who are the major players operating in the AI in Agriculture market? Which companies are the front runners? ● Which are the recent industry trends that can be implemented to generate additional revenue streams? ● What Should Be Entry Strategies, Countermeasures to Economic Impact, and Marketing Channels for AI in Agriculture Industry?
Customization of the Report
Can I modify the scope of the report and customize it to suit my requirements?
Yes. Customized requirements of multi-dimensional, deep-level and high-quality can help our customers precisely grasp market opportunities, effortlessly confront market challenges, properly formulate market strategies and act promptly, thus to win them sufficient time and space for market competition.
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Detailed TOC of Global AI in Agriculture Market Insights and Forecast to 2028
Major Points from Table of Contents
Global AI in Agriculture Market Research Report 2023-2028, by Manufacturers, Regions, Types and Applications
1 Introduction
1.1 Objective of the Study
1.2 Definition of the Market
1.3 Market Scope
1.3.1 Market Segment by Type, Application and Marketing Channel
1.3.2 Major Regions Covered (North America, Europe, Asia Pacific, Mid East and Africa)
1.4 Years Considered for the Study (2015-2028)
1.5 Currency Considered (U.S. Dollar)
1.6 Stakeholders
2 Key Findings of the Study
3 Market Dynamics
3.1 Driving Factors for this Market
3.2 Factors Challenging the Market
3.3 Opportunities of the Global AI in Agriculture Market (Regions, Growing/Emerging Downstream Market Analysis)
3.4 Technological and Market Developments in the AI in Agriculture Market
3.5 Industry News by Region
3.6 Regulatory Scenario by Region/Country
3.7 Market Investment Scenario Strategic Recommendations Analysis
4 Value Chain of the AI in Agriculture Market
4.1 Value Chain Status
4.2 Upstream Raw Material Analysis
4.3 Midstream Major Company Analysis (by Manufacturing Base, by Product Type)
4.4 Distributors/Traders
4.5 Downstream Major Customer Analysis (by Region)
5 Global AI in Agriculture Market-Segmentation by Type
6 Global AI in Agriculture Market-Segmentation by Application
7 Global AI in Agriculture Market-Segmentation by Marketing Channel
7.1 Traditional Marketing Channel (Offline)
7.2 Online Channel
8 Competitive Intelligence Company Profiles
9 Global AI in Agriculture Market-Segmentation by Geography
9.1 North America
9.2 Europe
9.3 Asia-Pacific
9.4 Latin America
9.5 Middle East and Africa
10 Future Forecast of the Global AI in Agriculture Market from 2023-2028
10.1 Future Forecast of the Global AI in Agriculture Market from 2023-2028 Segment by Region
10.2 Global AI in Agriculture Production and Growth Rate Forecast by Type (2023-2028)
10.3 Global AI in Agriculture Consumption and Growth Rate Forecast by Application (2023-2028)
11 Appendix
11.1 Methodology
12.2 Research Data Source
Continued….
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To view the original version on The Express Wire visit AI in Agriculture Market Growth and Forecast till 2030
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