HTF MI recently introduced Global Artificial Intelligence in Agriculture Market study with 143+ pages in-depth overview, describing about the Product / Industry Scope and elaborates market outlook and status (2024-2032). The market Study is segmented by key regions which is accelerating the marketization. At present, the market is developing its presence. Some key players from the complete study are IBM, Microsoft, Deere & Co., Granular, AgEagle Aerial Systems, Farmers Edge, etc..
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According to HTF Market Intelligence, the Global Artificial Intelligence in Agriculture market is expected to grow from $2.6 billion USD in 2024 to $8 billion USD by 2032, with a CAGR of 16% from 2024 to 2032.
The Artificial Intelligence in Agriculture market is segmented by Types (Predictive Analytics, Precision Farming, Crop Monitoring, Smart Irrigation), Application (Crop Management, Livestock Management, Soil Monitoring, Greenhouse Automation) and by Geography (North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA).
Definition:
AI in agriculture refers to the use of artificial intelligence technologies, such as machine learning, predictive analytics, and robotics, to improve farming practices. It is widely used in precision farming, crop monitoring, livestock management, and soil health analysis. The application of AI helps farmers increase productivity, reduce resource usage, and make informed decisions about crop yields, irrigation, and pest control. AI-driven innovations are transforming the agriculture industry by optimizing farming operations and enabling more sustainable practices.
Dominating Region:
• North America
Fastest-Growing Region:
• Asia-Pacific
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The titled segments and sub-section of the market are illuminated below:
In-depth analysis of Artificial Intelligence in Agriculture market segments by Types: Predictive Analytics, Precision Farming, Crop Monitoring, Smart Irrigation
Detailed analysis of Tank Container Shipping market segments by Applications: Crop Management, Livestock Management, Soil Monitoring, Greenhouse Automation
Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
• The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
• North America (United States, Mexico & Canada)
• South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
• Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).
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Artificial Intelligence in Agriculture Market Research Objectives:
– Focuses on the key manufacturers, to define, pronounce and examine the value, sales volume, market share, market competition landscape, SWOT analysis, and development plans in the next few years.
– To share comprehensive information about the key factors influencing the growth of the market (opportunities, drivers, growth potential, industry-specific challenges and risks).
– To analyze the with respect to individual future prospects, growth trends and their involvement to the total market.
– To analyze reasonable developments such as agreements, expansions new product launches, and acquisitions in the market.
– To deliberately profile the key players and systematically examine their growth strategies.
FIVE FORCES & PESTLE ANALYSIS:
In order to better understand market conditions five forces analysis is conducted that includes the Bargaining power of buyers, Bargaining power of suppliers, Threat of new entrants, Threat of substitutes, and Threat of rivalry.
• Political (Political policy and stability as well as trade, fiscal, and taxation policies)
• Economical (Interest rates, employment or unemployment rates, raw material costs, and foreign exchange rates)
• Social (Changing family demographics, education levels, cultural trends, attitude changes, and changes in lifestyles)
• Technological (Changes in digital or mobile technology, automation, research, and development)
• Legal (Employment legislation, consumer law, health, and safety, international as well as trade regulation and restrictions)
• Environmental (Climate, recycling procedures, carbon footprint, waste disposal, and sustainability)
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Points Covered in Table of Content of Global Artificial Intelligence in Agriculture Market:
Chapter 01 – Artificial Intelligence in Agriculture Executive Summary
Chapter 02 – Market Overview
Chapter 03 – Key Success Factors
Chapter 04 – Global Artificial Intelligence in Agriculture Market – Pricing Analysis
Chapter 05 – Global Artificial Intelligence in Agriculture Market Background or History
Chapter 06 – Global Artificial Intelligence in Agriculture Market Segmentation (e.g. Type, Application)
Chapter 07 – Key and Emerging Countries Analysis Worldwide Artificial Intelligence in Agriculture Market
Chapter 08 – Global Artificial Intelligence in Agriculture Market Structure & worth Analysis
Chapter 09 – Global Artificial Intelligence in Agriculture Market Competitive Analysis & Challenges
Chapter 10 – Assumptions and Acronyms
Chapter 11 – Artificial Intelligence in Agriculture Market Research Methodology
Key questions answered
• How Global Artificial Intelligence in Agriculture Market growth & size is changing in next few years?
• Who are the Leading players and what are their futuristic plans in the Global Artificial Intelligence in Agriculture market?
• What are the key concerns of the 5-forces analysis of the Global Artificial Intelligence in Agriculture market?
• What are the strengths and weaknesses of the key vendors?
• What are the different prospects and threats faced by the dealers in the Global Artificial Intelligence in Agriculture market?
Thanks for reading this article; you can also get individual chapter-wise sections or region-wise report versions like North America, LATAM, Europe, Japan, Australia or Southeast Asia.
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