농업 분야 인공지능 시장 규모, 점유율, 성장 분석 : 기술별, 제공업체별, 용도별, 전개 방식별, 최종사용자별, 지역별 - 산업 예측(2024-2031년)

Global Artificial Intelligence in Agriculture Market size was valued at USD 1.82 billion in 2022 and is poised to grow from USD 2.23 billion in 2023 to USD 11.39 billion by 2031, growing at a CAGR of 22.6% during the forecast period (2024-2031).

The Global Artificial Intelligence in Agriculture Market is witnessing significant growth, fundamentally transforming farming through advanced technologies. Farmers around the world are increasingly adopting AI-driven tools to enhance operational efficiency and production capabilities. Key applications include crop monitoring, pest detection, and yield forecasting, facilitated by real-time data analytics that support informed decision-making, minimize resource waste, and boost yields. The use of drones and autonomous robots with integrated AI further refines crop management by allowing for precise application of fertilizers and pesticides. Moreover, AI-enhanced agricultural machinery improves productivity while reducing labor costs. The incorporation of AI chatbots and virtual assistants provides farmers with crucial insights into weather, market trends, and strategic planning, thus improving risk management. As AI applications expand into areas like genomics and crop breeding, they contribute to developing more resilient plant varieties. However, despite the promising growth of AI in agriculture, challenges such as data privacy, high implementation costs, and uneven access to tech persist across regions. Nonetheless, the future appears bright for the global agriculture sector as it increasingly leverages the transformative benefits of artificial intelligence, driving toward more sustainable and efficient farming practices.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence In Agriculture market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Artificial Intelligence In Agriculture Market Segmental Analysis

Global Artificial Intelligence in Agriculture Market is segmented by technology, offering, application, deployment mode, end user and region. Based on technology, the market is segmented into machine learning (supervised learning, unsupervised learning, reinforcement learning), computer vision and predictive analytics. Based on offering, the market is segmented into hardware (sensors, drones, cameras), software (AI platforms, AI solutions) and services (professional services, managed services). Based on application, the market is segmented into precision farming (yield monitoring, field mapping, crop scouting), livestock monitoring (health monitoring, behaviour monitoring), drone analytics (crop health monitoring, soil health monitoring), agricultural robots (harvesting robots, weeding robots) and others (weather forecasting, irrigation management). Based on deployment mode, the market is segmented into cloud, on-premises and hybrid. Based on end user, the market is segmented into farmers, agricultural corporations, research institutions and government agencies. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.

Driver of the Global Artificial Intelligence In Agriculture Market

A significant factor driving the Global Artificial Intelligence in Agriculture Market is the escalating demand for sustainable and efficient farming methods. With the global population on the rise, the need for increased food production intensifies, compelling the agricultural sector to enhance productivity while conserving resources. AI-driven technologies present innovative solutions that optimize various agricultural processes, including precision farming and systematic decision-making based on data analysis. This shift towards the adoption of AI is becoming essential for farmers and agricultural organizations, as they strive to address the dual challenges of food security and environmental sustainability effectively.

Restraints in the Global Artificial Intelligence In Agriculture Market

A significant challenge facing the Global Artificial Intelligence in Agriculture Market is the high initial implementation cost. The adoption of AI technologies demands a considerable investment in hardware, software, and associated services. Moreover, the necessity of training personnel and upgrading existing infrastructure to integrate AI solutions can impose a heavy financial burden, particularly for smaller and less resourceful farmers. This cost barrier often limits the overall adoption of AI in agricultural practices and, in turn, restrains market growth. To effectively address this issue, it is essential to develop affordable AI solutions, provide accessible financing alternatives, and introduce government incentives to promote broader acceptance of AI within the agricultural sector.

Market Trends of the Global Artificial Intelligence In Agriculture Market

The Global Artificial Intelligence in Agriculture market is witnessing a notable trend characterized by the rising adoption of digital farming platforms. Agricultural stakeholders, including farmers and organizations, are increasingly leveraging AI-powered platforms that deliver holistic solutions for crop management, data analytics, and informed decision-making. These innovative platforms harness diverse AI technologies, such as machine learning, satellite imagery, and IoT sensors, facilitating real-time insights and optimization of agricultural practices. This trend signifies a transformative shift in the industry towards data-centric and technology-enabled methodologies aimed at enhancing productivity, sustainability, and profitability, ultimately reshaping the future of agriculture.

Table of Contents

Introduction

• Objectives of the Study
• Scope of the Report
• Definitions

Research Methodology

• Information Procurement
• Secondary & Primary Data Methods
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Global Market Outlook
• Supply & Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Market Size
• Market Dynamics
  • Driver & Opportunities
  • Restraints & Challenges
• Porters Analysis & Impact
  • Competitive rivalry
  • Threat of substitute
  • Bargaining power of buyers
  • Threat of new entrants
  • Bargaining power of suppliers

Key Market Insights

• Key Success Factors
• Degree of Competition
• Top Investment Pockets
• Market Ecosystem
• Market Attractiveness Index, 2023
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis
• Technological Advancement
• Regulatory Landscape
• Patent Analysis
• Case Studies
• Customer & Buying Criteria Analysis
• Startup Analysis

Global Artificial Intelligence in Agriculture Market Size by Technology & CAGR (2024-2031)

• Market Overview
• Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
• Computer Vision
• Predictive Analytics

Global Artificial Intelligence in Agriculture Market Size by Offering & CAGR (2024-2031)

• Market Overview
• Hardware
  • Sensors
  • Drones
  • Cameras
• Software
  • AI Platforms
  • AI Solutions
• Services
  • Professional Services
  • Managed Services

Global Artificial Intelligence in Agriculture Market Size by Application & CAGR (2024-2031)

• Market Overview
• Precision Farming
  • Yield Monitoring
  • Field Mapping
  • Crop Scouting
• Livestock Monitoring
  • Health Monitoring
  • Behaviour Monitoring
• Drone Analytics
  • Crop Health Monitoring
  • Soil Health Monitoring
• Agricultural Robots
  • Harvesting Robots
  • Weeding Robots
• Others
  • Weather Forecasting
  • Irrigation Management

Global Artificial Intelligence in Agriculture Market Size by Deployment Mode & CAGR (2024-2031)

• Market Overview
• Cloud
• On-Premises
• Hybrid

Global Artificial Intelligence in Agriculture Market Size by End User & CAGR (2024-2031)

• Market Overview
• Farmers
• Agricultural Corporations
• Research Institutions
• Government Agencies

Global Artificial Intelligence in Agriculture Market Size & CAGR (2024-2031)

• North America, (Technology, Offering, Application, Deployment Mode, End User)
  • US
  • Canada
• Europe, (Technology, Offering, Application, Deployment Mode, End User)
  • UK
  • Germany
  • Spain
  • France
  • Italy
  • Rest of Europe
• Asia-Pacific, (Technology, Offering, Application, Deployment Mode, End User)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia Pacific
• Latin America, (Technology, Offering, Application, Deployment Mode, End User)
  • Brazil
  • Rest of Latin America
• Middle East & Africa, (Technology, Offering, Application, Deployment Mode, End User)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2023
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2023
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2021-2023)

Key Company Profiles

• IBM Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Deere & Company
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Granular Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• aWhere Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Prospera Technologies Ltd.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Taranis
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Agribotix LLC
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• The Climate Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Descartes Labs, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Mavrx Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Gamaya
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• PrecisionHawk
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cainthus
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Farmers Edge Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Resson Aerospace Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Connecterra B.V.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Vision Robotics Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Harvest CROO Robotics
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• AgEagle Aerial Systems Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendation