首頁 > 市場調查報告書 > 工業機械

IoT 農業物聯網精密農業

市場調查報告書

商品編碼

1325325

全球智慧農業市場 - 2023-2030

Global Smart Agriculture Market - 2023-2030

出版日期: 2023年08月04日 | 出版商:

DataM Intelligence | 英文 165 Pages | 商品交期: 約2個工作天內

價格

※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

簡介目錄

市場概況

全球智慧農業市場將於 2022 年達到 226 億美元，預計到 2030 年將達到 3540 萬美元，2023-2030 年預測期間年複合成長率為 5.8%。永續農業技術和新興智慧農業實施的不斷採用正在推動全球智慧農業市場的成長。

智慧農業中的不同技術幫助農民系統地實施多項農業操作，例如收穫、種植、庫存控制和其他程序。農民擴大採用物聯網和人工智慧來幫助監控農田和實現灌溉過程自動化。

在溫室中使用物聯網和人工智慧減少了對農作物持續監控的需要。它以最少的人工干涉為農民提供具有成本效益的最佳解決方案。智慧農業提供了多種好處，例如減少用水量、提高農作物產量以及減少農藥和除草劑的使用，從而推動市場擴張。

市場動態

新技術的不斷採用預計將推動智慧農業市場的成長。

大多數農民正在採用更智慧、更高效的農業技術，向智慧農業市場提供足夠數量的優質產品。遠程監控提供了對農業價值鏈有用的創新服務和應用。農業無人機用於農作物監測、農業攝影、定點開發、牲畜監測和農場管理。

農場自動化和管理提供可靠的財務數據和生產、數據管理和風險緩解改進，以及有關天氣和不可預見事件的功能。使用感測器、人工智慧、地理資訊系統、產量繪圖等有助於提高農民效率和產量，同時加強糧食安全。

智慧農業的好處正在推動市場成長。

智慧農業設備可以提高產量和生產力，同時減少農作物歉收。這些智慧小工具通過追踪、分析和預測數據來實現目標。智慧農業通過巡查田地、收集數據並將其傳輸到中心位置來監測植物生長和健康狀況。它通過使用運動感測器和鏡頭為農場安全做出貢獻。它還有助於向農作物和房屋施用殺蟲劑、除草劑和殺菌劑。

智慧技術也有助於動物健康和生長監測。它確保滿足他們的需求，並識別生病的動物和濕度和溫度等田間變量，以確保農作物和動物的正常生長。此外，智慧農業可以進行遠程農場診斷，例如當農民離開並且農場需要立即關注時，並通過安裝警報和防火設備來控制火災等威脅。所有這些因素都有助於推動智慧農業。

缺乏意識和高成本投資限制了智慧農業市場的成長。

每個農場的獨特需求和要求對於實施行業標準的機器對機器解決方案來說可能具有挑戰性。這些技術的實施需要高成本的投資。智慧農業技術資源在分割土地上的錯誤分配可能會導致經濟損失。對於小規模農民來說，從這些技術中獲得收入可能具有挑戰性。

對於農民來說，對新技術、軟體和硬體的理解可能是一個更重要的問題。了解智慧農業的技術方面和營運需要對技術有深入的了解，而印度等發展中國家的大多數小農戶缺乏這些知識。這種意識的缺乏正在阻礙市場的成長。

COVID-19 影響分析

COVID-19 分析包括新冠疫情前情景、新冠疫情情景和新冠疫情后情景以及定價動態（包括大流行期間和大流行後與新冠疫情前情景進行比較的價格變化）、供需譜（需求和供應的變化）由於貿易限制、封鎖和後續問題）、政府舉措（政府機構振興市場、部門或行業的舉措）和製造商戰略舉措（此處將介紹製造商為緩解新冠疫情問題所做的努力）。

Market Overview

Global Smart Agriculture Market reached US$ 22.6 billion in 2022 and is expected to reach US$ 35.4 million by 2030 growing with a CAGR of 5.8% during the forecast period 2023-2030. The increasing adoption of sustainable agriculture techniques and emerging smart agriculture implementations is raising growth in the global smart agriculture market.

The different technologies in smart agriculture help farmers systematically implement several agriculture operations such as harvesting, planting, inventory control, and other procedures. increase in the adoption of IoT and artificial intelligence by farmers to help monitor the crop field and automate the irrigation process.

The use of IoT and AI in the greenhouse reduces the need for constant monitoring of the crops. It provides cost-effective and optimal solutions for farmers with minimal manual intervention. Smart agriculture provides several benefits, like reduced water consumption, high crop yields, and minor use of pesticides and herbicides fueling the market expansion.

Market Dynamics

The Growing Adoption of New Technologies is Estimated to Drive the Smart Agriculture Market Growth.

Most farmers are adopting smarter and more efficient agriculture technologies to deliver high-quality products in sufficient quantities to the smart agriculture market. Remote monitoring offers innovative services and applications useful in the agricultural value chain. Agriculture drones are used for crop monitoring, agriculture photography, site-specific development, livestock monitoring, and farm management.

Farm automation and management offers reliable financial data and production, data management and improvement in risk mitigation, and capabilities regarding weather and unforeseen events. Using sensors, AI, GIS, yield mapping, and many others are helpful in improving farmer efficiency and output while enhancing food security.

The Benefits of Smart Agriculture is Driving the Market Growth.

The smart agriculture gadgets can potentially increase yields and productivity while decreasing crop failures. These intelligent gadgets accomplish the target through tracking, analyzing, and forecasting data. Smart agriculture monitors plant growth and health by going around the field, collecting data, and transferring it to a central location. It contributes to farm security by using motion sensors and cameras. It also aids in applying insecticides, herbicides, and fungicides to farm crops and premises.

Smart technology is also helpful for animal health and growth monitoring. It ensures their needs are satisfied and recognizes sick animals and field variables such as humidity and temperature to ensure proper crop and animal growth. Furthermore, smart agriculture can do remote farm diagnostics, such as when a farmer is gone and the farm needs immediate attention, and control threats such as fire by installing alarms and anti-fire devices. All these factors help in promoting smart agriculture.

Lack of Awareness and High-Cost Investments Restrains the Smart Agriculture Market Growth.

Each farm's unique needs and requirements can be challenging to implement an industry-standard machine-to-machine solution. The implementation of these technologies needs high-cost investments. Incorrect allocations of smart agriculture technology resources in divided lands can result in financial losses. This can be challenging for small-scale farmers to achieve income from these techniques.

The new technologies, software and hardware understanding can be a more significant problem for the farmers. Understanding the technological aspects and operations of smart agriculture needs in-depth knowledge regarding the techniques, which is lacking in most small-scale farmers in developing countries such as India. This lack of awareness is hindering the market's growth.

COVID-19 Impact Analysis

The COVID-19 Analysis includes Pre-COVID Scenario, COVID Scenario and Post-COVID Scenario along with Pricing Dynamics (Including pricing change during and post-pandemic comparing it with pre-COVID scenarios), Demand-Supply Spectrum (Shift in demand and supply owing to trading restrictions, lockdown, and subsequent issues), Government Initiatives (Initiatives to revive market, sector or Industry by Government Bodies) and Manufacturers Strategic Initiatives (What manufacturers did to mitigate the COVID issues will be covered here).

Segment Analysis

The global smart agriculture market is segmented based on product, application, and region.

In the Global Smart Agriculture Market, the Precision Agriculture Segment Holds the Largest Market Share.

The global smart agriculture market has been segmented by application into precision farming, livestock monitoring, yield monitoring & soil monitoring, agricultural drone, farm management, smart greenhouse, smart irrigation, and others. In the smart agriculture market analysis report, the precision farming segment held the largest smart agriculture market share of 25.8% in 2022.

Smart tractors, UAVs, ground leveling services, satellite imaging, pesticide application, irrigation services, and handheld decision diagnostics and decision support are becoming more accessible for smallholder farmers in the region without investment in expensive infrastructure. In some countries like Japan, 67 is the average farmer's age. With labor shortages, precision farming is significant for food production and security.

Geographical Analysis

The Asia-Pacific Region Held the Largest Share of the Smart Agriculture Market.

The global smart agriculture market is segmented into five parts based on geography: North America, South America, Europe, Asia-Pacific, the Middle East, and Africa. The Asia-Pacific smart agriculture market held the largest market share of 38.6% in 2022 in the smart agriculture market analysis. The growing adoption of variable rate technology, smart irrigation controllers, and AI-based farm analytics services is driving the market in this region.

The increasing demand for automation of livestock farms and aquaculture farms, the increasing livestock population, and the growing demand for meat products in Asian countries, including China, Australia, India, and Japan, contribute to regional market growth. For instance, the cattle population in China and India increased by 3% and 0.4%, respectively, to reach 98 and 307 million heads in 2022, compared to 95 and 306 million heads in 2021.

Competitive Landscape

The major global players in the market include AGCO, Ag Leader Technology, John Deere, Raven Industries, Precision Planting LLC, Trimble, DeLaval, AgJunction, Agribotix, and The Climate Corporation.

Global Recession/Ukraine-Russia War/COVID-19, and Artificial Intelligence Impact Analysis:

COVID-19 Impact:

The unprecedented COVID-19 pandemic in 2020 profoundly affected the agriculture industry. COVID-19 has considerably impacted the global agriculture supply chain phases involving smart agriculture production, processing, distribution, and consumption due to lockdowns and restrictions imposed by various governments.

Everything has changed due to the COVID-19 epidemic. It has influenced practically every industry, whether positively or negatively. The COVID-19 pandemic's effects on world economic conditions have had an influence. They could impact interest rates, foreign exchange rates, commodities and energy prices, and the efficient operation of financial and capital markets.

The COVID-19 pandemic issue has had an impact on the agriculture industries as well. The COVID-19 pandemic is upending life, and the agriculture sector is seeing an increase in trends like smart agriculture. The agriculture businesses are launching innovative programs, including smart agriculture.

Why Purchase the Report?

To visualize the global smart agriculture market segmentation based on product, application, and region and understand key commercial assets and players.
Identify commercial opportunities in the market by analyzing trends and co-development.
Excel data sheet with numerous data points of smart agriculture market-level with all segments.
The PDF report includes a comprehensive market analysis after exhaustive qualitative interviews and an in-depth market study.
Product mapping is available as Excel consists of key products of all the major market players.

The Global Smart Agriculture Market report would provide approximately 53 tables, 53 figures and 165 Pages.

Target Audience 2023

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Market Definition and Overview

3. Executive Summary

3.1. Market Snippet, by Product
3.2. Market Snippet, by Application
3.3. Market Snippet, by Region

4. Market Dynamics

4.1. Market Impacting Factors
- 4.1.1. Drivers
- 4.1.2. Restraints
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During the Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Product

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
- 7.1.2. Market Attractiveness Index, By Product
7.2. Management Information System
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Remote Sensing Systems/ Sensors
7.4. Geographic Information Systems- GIS
7.5. Spatial Decision Support Systems- SDSS
7.6. Yield Mapping

8. By Application

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 8.1.2. Market Attractiveness Index, By Application
8.2. Precision Farming
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Independent Restaurants
8.4. Livestock Monitoring
8.5. Yield & Soil Monitoring
8.6. Agricultural Drone
8.7. Farm Management
8.8. Smart Greenhouse & Irrigation
8.9. Others

9. By Region

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 9.1.2. Market Attractiveness Index, By Region
9.2. North America
- 9.2.1. Introduction
- 9.2.2. Key Region-Specific Dynamics
- 9.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
- 9.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 9.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 9.2.5.1. The U.S.
  - 9.2.5.2. Canada
  - 9.2.5.3. Mexico
9.3. Europe
- 9.3.1. Introduction
- 9.3.2. Key Region-Specific Dynamics
- 9.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
- 9.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 9.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 9.3.5.1. Germany
  - 9.3.5.2. The U.K.
  - 9.3.5.3. France
  - 9.3.5.4. Italy
  - 9.3.5.5. Spain
  - 9.3.5.6. Rest of Europe
9.4. South America
- 9.4.1. Introduction
- 9.4.2. Key Region-Specific Dynamics
- 9.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
- 9.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 9.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 9.4.5.1. Brazil
  - 9.4.5.2. Argentina
  - 9.4.5.3. Rest of South America
9.5. Asia-Pacific
- 9.5.1. Introduction
- 9.5.2. Key Region-Specific Dynamics
- 9.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
- 9.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 9.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 9.5.5.1. China
  - 9.5.5.2. India
  - 9.5.5.3. Japan
  - 9.5.5.4. Australia
  - 9.5.5.5. Rest of Asia-Pacific
9.6. Middle East and Africa
- 9.6.1. Introduction
- 9.6.2. Key Region-Specific Dynamics
- 9.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
- 9.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

10. Competitive Landscape

10.1. Competitive Scenario
10.2. Market Positioning/Share Analysis
10.3. Mergers and Acquisitions Analysis

11. Company Profiles

11.1. AGCO
- 11.1.1. Company Overview
- 11.1.2. Product Portfolio and Description
- 11.1.3. Financial Overview
- 11.1.4. Key Developments
11.2. Ag Leader Technology
11.3. John Deere
11.4. Raven Industries
11.5. Precision Planting LLC
11.6. Trimble
11.7. DeLaval
11.8. AgJunction
11.9. Agribotix
11.10. The Climate Corporation

LIST NOT EXHAUSTIVE