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IoT 农业物联网精密农业

市场调查报告书

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1325325

全球智能农业市场 - 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: 约2个工作天内

价格

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简介目录

市场概况

全球智能农业市场将于 2022 年达到 226 亿美元，预计到 2030 年将达到 3540 万美元，2023-2030 年预测期间复合年增长率为 5.8%。可持续农业技术和新兴智能农业实施的不断采用正在推动全球智能农业市场的增长。

智慧农业中的不同技术帮助农民系统地实施多项农业操作，例如收穫、种植、库存控制和其他程序。农民越来越多地采用物联网和人工智能来帮助监控农田和实现灌溉过程自动化。

在温室中使用物联网和人工智能减少了对农作物持续监控的需要。它以最少的人工干预为农民提供具有成本效益的最佳解决方案。智能农业提供了多种好处，例如减少用水量、提高农作物产量以及减少农药和除草剂的使用，从而推动市场扩张。

市场动态

新技术的不断采用预计将推动智能农业市场的增长。

大多数农民正在采用更智能、更高效的农业技术，向智能农业市场提供足够数量的优质产品。远程监控提供了对农业价值链有用的创新服务和应用。农业无人机用于农作物监测、农业摄影、定点开发、牲畜监测和农场管理。

农场自动化和管理提供可靠的财务数据和生产、数据管理和风险缓解改进，以及有关天气和不可预见事件的功能。使用传感器、人工智能、地理信息系统、产量绘图等有助于提高农民效率和产量，同时加强粮食安全。

智能农业的好处正在推动市场增长。

智能农业设备可以提高产量和生产力，同时减少农作物歉收。这些智能小工具通过跟踪、分析和预测数据来实现目标。智能农业通过巡查田地、收集数据并将其传输到中心位置来监测植物生长和健康状况。它通过使用运动传感器和摄像头为农场安全做出贡献。它还有助于向农作物和房屋施用杀虫剂、除草剂和杀菌剂。

智能技术也有助于动物健康和生长监测。它确保满足他们的需求，并识别生病的动物和湿度和温度等田间变量，以确保农作物和动物的正常生长。此外，智能农业可以进行远程农场诊断，例如当农民离开并且农场需要立即关注时，并通过安装警报和防火设备来控制火灾等威胁。所有这些因素都有助于推动智慧农业。

缺乏意识和高成本投资限制了智能农业市场的增长。

每个农场的独特需求和要求对于实施行业标准的机器对机器解决方案来说可能具有挑战性。这些技术的实施需要高成本的投资。智慧农业技术资源在分割土地上的错误分配可能会导致经济损失。对于小规模农民来说，从这些技术中获得收入可能具有挑战性。

对于农民来说，对新技术、软件和硬件的理解可能是一个更重要的问题。了解智能农业的技术方面和运营需要对技术有深入的了解，而印度等发展中国家的大多数小农户缺乏这些知识。这种意识的缺乏正在阻碍市场的增长。

COVID-19 影响分析

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价动态（包括大流行期间和大流行后与新冠疫情前情景进行比较的价格变化）、供需谱（需求和供应的变化）由于贸易限制、封锁和后续问题）、政府倡议（政府机构振兴市场、部门或行业的倡议）和製造商战略倡议（此处将介绍製造商为缓解新冠疫情问题所做的努力）。

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