세계의 농업용 AI 시장 : 산업 분석, 규모, 점유율, 성장, 동향, 예측(2024-2032년)

The global demand for Agriculture AI Market is presumed to reach the market size of nearly USD 12.69 Billion by 2032 from USD 1.88 Billion in 2023 with a CAGR of 23.64% under the study period 2024 - 2032.

Agriculture AI, or Agricultural Artificial Intelligence, refers to the application of AI and ML technologies in the field of agriculture to optimize various processes, enhance efficiency, and improve overall agricultural productivity. It leverages data-driven insights, automation, and predictive analytics to address challenges in farming and agribusiness.

MARKET DYNAMICS

The agriculture AI market is propelled by several key factors that drive innovation in the agricultural sector. The growing global population necessitates increased food production, making AI an essential tool for optimizing farming practices. Precision agriculture, enabled by AI, allows farmers to make data-driven decisions in real-time, enhancing resource efficiency and yields. Advancements in sensor technologies, including drones and satellites, provide detailed field data, which AI algorithms analyze for actionable insights. The rising adoption of the IoT further integrates AI into agriculture by facilitating data collection from connected devices. The growth of the market is propelled by supportive government initiatives, rising investments in agtech, and a growing emphasis on sustainable farming practices. Climate change challenges, labor shortages, and the emphasis on data-driven decision-making also drive the adoption of AI in agriculture. As the sector continues to prioritize efficiency, sustainability, and resilience, Agriculture AI is poised for ongoing development and widespread implementation to address evolving agricultural demands.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of agriculture ai. The growth and trends of agriculture ai industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the agriculture ai market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Component

• Software
• Hardware
• Service

By Technology

• Predictive Analytics
• Machine Learning & Deep Learning
• Computer Vision

By Application

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

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the Agriculture AI market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Agriculture AI market include The Climate Corporation, IBM Corporation, Microsoft, AgEagle Aerial Systems Inc., Deere & Company, Granular Inc., Descartes Labs Inc., aWhere Inc., Prospera Technologies, Taranis, GAMAYA, PrecisionHawk, ec2ce, VineView, Tule Technologies Inc. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

TABLE OF CONTENTS

1 . PREFACE

• 1.1. Report Description
  • 1.1.1. Objective
  • 1.1.2. Target Audience
  • 1.1.3. Unique Selling Proposition (USP) & offerings
• 1.2. Research Scope
• 1.3. Research Methodology
  • 1.3.1. Market Research Process
  • 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

• 2.1. Highlights of Market
• 2.2. Global Market Snapshot

3 . AGRICULTURE AI - INDUSTRY ANALYSIS

• 3.1. Introduction - Market Dynamics
• 3.2. Market Drivers
• 3.3. Market Restraints
• 3.4. Opportunities
• 3.5. Industry Trends
• 3.6. Porter's Five Force Analysis
• 3.7. Market Attractiveness Analysis
  • 3.7.1 Market Attractiveness Analysis By Component
  • 3.7.2 Market Attractiveness Analysis By Technology
  • 3.7.3 Market Attractiveness Analysis By Application
  • 3.7.4 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

• 4.1. Value Chain Analysis
• 4.2. Raw Material Analysis
  • 4.2.1. List of Raw Materials
  • 4.2.2. Raw Material Manufactures List
  • 4.2.3. Price Trend of Key Raw Materials
• 4.3. List of Potential Buyers
• 4.4. Marketing Channel
  • 4.4.1. Direct Marketing
  • 4.4.2. Indirect Marketing
  • 4.4.3. Marketing Channel Development Trend

5 . GLOBAL AGRICULTURE AI MARKET ANALYSIS BY COMPONENT

• 5.1 Overview by Component
• 5.2 Historical and Forecast Data
• 5.3 Analysis by Component
• 5.4 Software Historic and Forecast Sales by Regions
• 5.5 Hardware Historic and Forecast Sales by Regions
• 5.6 Service Historic and Forecast Sales by Regions

6 . GLOBAL AGRICULTURE AI MARKET ANALYSIS BY TECHNOLOGY

• 6.1 Overview by Technology
• 6.2 Historical and Forecast Data
• 6.3 Analysis by Technology
• 6.4 Predictive Analytics Historic and Forecast Sales by Regions
• 6.5 Machine Learning & Deep Learning Historic and Forecast Sales by Regions
• 6.6 Computer Vision Historic and Forecast Sales by Regions

7 . GLOBAL AGRICULTURE AI MARKET ANALYSIS BY APPLICATION

• 7.1 Overview by Application
• 7.2 Historical and Forecast Data
• 7.3 Analysis by Application
• 7.4 Agriculture Robots Historic and Forecast Sales by Regions
• 7.5 Precision Farming Historic and Forecast Sales by Regions
• 7.6 Livestock Monitoring Historic and Forecast Sales by Regions
• 7.7 Drone Analytics Historic and Forecast Sales by Regions
• 7.8 Others Historic and Forecast Sales by Regions

8 . GLOBAL AGRICULTURE AI MARKET ANALYSIS BY GEOGRAPHY

• 8.1. Regional Outlook
• 8.2. Introduction
• 8.3. North America Sales Analysis
  • 8.3.1. Overview, Historic and Forecast Data Sales Analysis
  • 8.3.2. North America By Segment Sales Analysis
  • 8.3.3. North America By Country Sales Analysis
  • 8.3.4. United State Sales Analysis
  • 8.3.5. Canada Sales Analysis
  • 8.3.6. Mexico Sales Analysis
• 8.4. Europe Sales Analysis
  • 8.4.1. Overview, Historic and Forecast Data Sales Analysis
  • 8.4.2. Europe by Segment Sales Analysis
  • 8.4.3. Europe by Country Sales Analysis
  • 8.4.4. United Kingdom Sales Analysis
  • 8.4.5. France Sales Analysis
  • 8.4.6. Germany Sales Analysis
  • 8.4.7. Italy Sales Analysis
  • 8.4.8. Russia Sales Analysis
  • 8.4.9. Rest Of Europe Sales Analysis
• 8.5. Asia Pacific Sales Analysis
  • 8.5.1. Overview, Historic and Forecast Data Sales Analysis
  • 8.5.2. Asia Pacific by Segment Sales Analysis
  • 8.5.3. Asia Pacific by Country Sales Analysis
  • 8.5.4. China Sales Analysis
  • 8.5.5. India Sales Analysis
  • 8.5.6. Japan Sales Analysis
  • 8.5.7. South Korea Sales Analysis
  • 8.5.8. Australia Sales Analysis
  • 8.5.9. South East Asia Sales Analysis
  • 8.5.10. Rest Of Asia Pacific Sales Analysis
• 8.6. Latin America Sales Analysis
  • 8.6.1. Overview, Historic and Forecast Data Sales Analysis
  • 8.6.2. Latin America by Segment Sales Analysis
  • 8.6.3. Latin America by Country Sales Analysis
  • 8.6.4. Brazil Sales Analysis
  • 8.6.5. Argentina Sales Analysis
  • 8.6.6. Peru Sales Analysis
  • 8.6.7. Chile Sales Analysis
  • 8.6.8. Rest of Latin America Sales Analysis
• 8.7. Middle East & Africa Sales Analysis
  • 8.7.1. Overview, Historic and Forecast Data Sales Analysis
  • 8.7.2. Middle East & Africa by Segment Sales Analysis
  • 8.7.3. Middle East & Africa by Country Sales Analysis
  • 8.7.4. Saudi Arabia Sales Analysis
  • 8.7.5. UAE Sales Analysis
  • 8.7.6. Israel Sales Analysis
  • 8.7.7. South Africa Sales Analysis
  • 8.7.8. Rest Of Middle East And Africa Sales Analysis

9 . COMPETITIVE LANDSCAPE OF THE AGRICULTURE AI COMPANIES

• 9.1. Agriculture Ai Market Competition
• 9.2. Partnership/Collaboration/Agreement
• 9.3. Merger And Acquisitions
• 9.4. New Product Launch
• 9.5. Other Developments

10 . COMPANY PROFILES OF AGRICULTURE AI INDUSTRY

• 10.1. Company Share Analysis
• 10.2. Market Concentration Rate
• 10.3. The Climate Corporation
  • 10.3.1. Company Overview
  • 10.3.2. Company Revenue
  • 10.3.3. Products
  • 10.3.4. Recent Developments
• 10.4. IBM Corporation
  • 10.4.1. Company Overview
  • 10.4.2. Company Revenue
  • 10.4.3. Products
  • 10.4.4. Recent Developments
• 10.5. Microsoft
  • 10.5.1. Company Overview
  • 10.5.2. Company Revenue
  • 10.5.3. Products
  • 10.5.4. Recent Developments
• 10.6. AgEagle Aerial Systems Inc.
  • 10.6.1. Company Overview
  • 10.6.2. Company Revenue
  • 10.6.3. Products
  • 10.6.4. Recent Developments
• 10.7. Deere & Company
  • 10.7.1. Company Overview
  • 10.7.2. Company Revenue
  • 10.7.3. Products
  • 10.7.4. Recent Developments
• 10.8. Granular Inc.
  • 10.8.1. Company Overview
  • 10.8.2. Company Revenue
  • 10.8.3. Products
  • 10.8.4. Recent Developments
• 10.9. Descartes Labs Inc.
  • 10.9.1. Company Overview
  • 10.9.2. Company Revenue
  • 10.9.3. Products
  • 10.9.4. Recent Developments
• 10.10. aWhere Inc.
  • 10.10.1. Company Overview
  • 10.10.2. Company Revenue
  • 10.10.3. Products
  • 10.10.4. Recent Developments
• 10.11. Prospera Technologies
  • 10.11.1. Company Overview
  • 10.11.2. Company Revenue
  • 10.11.3. Products
  • 10.11.4. Recent Developments
• 10.12. Taranis
  • 10.12.1. Company Overview
  • 10.12.2. Company Revenue
  • 10.12.3. Products
  • 10.12.4. Recent Developments
• 10.13. GAMAYA
  • 10.13.1. Company Overview
  • 10.13.2. Company Revenue
  • 10.13.3. Products
  • 10.13.4. Recent Developments
• 10.14. PrecisionHawk
  • 10.14.1. Company Overview
  • 10.14.2. Company Revenue
  • 10.14.3. Products
  • 10.14.4. Recent Developments
• 10.15. ec2ce
  • 10.15.1. Company Overview
  • 10.15.2. Company Revenue
  • 10.15.3. Products
  • 10.15.4. Recent Developments
• 10.16. VineView
  • 10.16.1. Company Overview
  • 10.16.2. Company Revenue
  • 10.16.3. Products
  • 10.16.4. Recent Developments
• 10.17. Tule Technologies Inc.
  • 10.17.1. Company Overview
  • 10.17.2. Company Revenue
  • 10.17.3. Products
  • 10.17.4. Recent Developments

Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies