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人工智能精密農業

市場調查報告書

商品編碼

1605284

農業人工智慧市場規模、佔有率、成長分析，按技術、按產品、按應用、按部署模式、按最終用戶、按地區 - 行業預測，2024-2031

Artificial Intelligence in Agriculture Market Size, Share, Growth Analysis, By Technology (Machine Learning, Computer Vision), By Offering, By Application, By Deployment Mode, By End User, By Region - Industry Forecast 2024-2031

出版日期: 2024年12月03日 | 出版商:

SkyQuest | 英文 157 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

2022年，農業人工智慧的全球市場規模為18.2億美元，從2023年的22.3億美元成長到2031年的113.9億美元，預計在預測期內（2024-2031年）將以複合年成長率成長。 2019 年為22.6%。

全球農業人工智慧市場正在經歷顯著成長，先進技術從根本上改變了農業。世界各地的農民擴大採用人工智慧主導的工具來提高營運效率和生產能力。主要應用包括作物監測、害蟲檢測和產量預測，並透過即時資料分析來支援明智的決策、最大限度地減少資源浪費並提高產量。人工智慧嵌入式無人機和自主機器人的使用將透過實現化學肥料和農藥的精確散佈來進一步完善作物管理。此外，人工智慧增強的農業機械可以提高生產力，同時降低勞動成本。透過結合人工智慧聊天機器人和虛擬助手，農民可以獲得對天氣、市場趨勢和策略規劃的重要見解，從而改善風險管理。隨著人工智慧的應用擴展到基因組學和作物育種等領域，它將有助於開發更具彈性的植物品種。然而，儘管人工智慧在農業領域的發展前景廣闊，但各地區仍面臨挑戰，包括資料隱私、高昂的實施成本和技術取得的不平等。儘管如此，隨著全球農業部門擴大利用人工智慧的變革性優勢來推動更永續和高效的農業，未來看起來是光明的。

北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 西班牙
- 法國
- 義大利
- 其他歐洲國家地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 其他亞太地區
拉丁美洲
- 巴西
- 其他拉丁美洲地區
中東和非洲
- 海灣合作理事會國家
- 南非
- 其他中東/非洲

競爭資訊

前5名企業對比
主要企業市場定位（2023年）
主要市場參與者所採取的策略
近期市場趨勢
公司市場佔有率分析（2023）
主要企業簡介
- 公司簡介
- 產品系列分析
- 按細分市場分類的佔有率分析
- 收益與前一年同期比較（2021-2023）

主要企業簡介

IBM Corporation
Microsoft Corporation
Deere & Company
Granular Inc.
aWhere Inc.
Prospera Technologies Ltd.
Taranis
Agribotix LLC
The Climate Corporation
Descartes Labs, Inc.
Mavrx Inc.
Gamaya
PrecisionHawk
Cainthus
Farmers Edge Inc.
Resson Aerospace Corporation
Connecterra BV
Vision Robotics Corporation
Harvest CROO Robotics
AgEagle Aerial Systems Inc.

結論和建議

簡介目錄

Product Code: SQMIG45A2173

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.

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