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亚太地区人工智慧农业市场预测至 2030 年 - 区域分析 - 按组件（硬体、软体和服务）和应用（精准农业、无人机分析、农业机器人、牲畜监测等）
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亚太地区人工智慧农业市场预测至 2030 年 - 区域分析 - 按组件（硬体、软体和服务）和应用（精准农业、无人机分析、农业机器人、牲畜监测等）

Asia Pacific Artificial Intelligence in Agriculture Market Forecast to 2030 - Regional Analysis - by Component (Hardware, Software, and Services) and Application (Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, and Others)
出版日期: | 出版商: The Insight Partners | 英文 90 Pages | 订单完成后即时交付

价格

2022年亚太地区人工智慧农业市场规模为3.5633亿美元，预计到2030年将达到18.7698亿美元；预计2022年至2030年复合年增长率为23.1%。

发展中国家的潜在成长机会推动亚太人工智慧农业市场

发展中国家在农业方面面临特殊问题，包括资源有限、土地面积小、水资源不足、缺乏技术和信贷。气候变迁导致干旱、洪水和虫害加剧。难以与市场建立联繫并获得公平的农作物定价。为了因应这些挑战，发展中国家各国政府将重点放在农业人工智慧。人工智慧有潜力解决这些问题，同时大幅提高发展中国家的农业产量和永续性。一些全球组织正在采取各种措施。例如，AI4AI打算透过公私合作伙伴关係扩大数位农业规模，到2027年涵盖全球100万农民。例如，农业数位转型公私伙伴关係计画旨在利用 2021 年以来建立的试点资料加强农业 4.0 框架的政策建议。 、咖啡和酪梨等历史作物外，还有醋栗和棕榈。

另一个例子是印度，该国专注于扩大数位农业。例如，印度政府正在与企业部门、工业和农民组织合作。 Agri Stack 是政府的数位基金会，旨在将多个利益相关者聚集在一起，促进印度农业发展，并透过使用资料和数位服务来改善农民的成果和成果。 2022年，印度在六个工作小组中牵头进行多方利益相关者讨论，就数位农业的公私合作伙伴关係提出建议。因此，发展中经济体的此类倡议预计将为农业市场的人工智慧创造一些机会。

亚太地区人工智慧农业市场概况

亚太地区农业人工智慧市场分为澳洲、印度、中国、日本、韩国和亚太其他地区。根据《2021年亚洲发展展望更新》主题章节，76%的贫穷人口居住在农村地区；增加农业产量和收入对于消除贫穷至关重要。因此，该地区各国政府正在采取措施改造农业，使其更加适应气候变迁和现代化。例如，2023年12月，中国在成都开发了第一个自主设计的无人垂直植物工厂。城市农业研究所 (IUA) 和中国农业科学院 (CAAS) 的团队部署的机器人可以在 35 天内生产和收穫生菜作物。这种基于人工智慧的控制系统使用尖端技术和演算法来监控、分析和改变垂直农业作业中的重要环境因素。

该地区的一些参与者正在采取伙伴关係和协作等策略性倡议，以提供人工智慧支援的农业。例如，2022 年 11 月，先正达和影像辨识公司 Plantix 宣布建立合作伙伴关係，为亚太地区至少 50 万小农提供人工智慧数位农业工具。这项合作关係使小农能够存取包含 50 多种作物和 500 种疾病的全球资料库，这些资料库可透过先正达的 Cropwise Grower 应用程式为农民提供。该应用程式利用资料的力量，透过提供有关农业最佳实践和作物保护解决方案的按需建议来保障作物产量。 Cropwise Grower 使用人工智慧让农民拍摄作物问题的照片并即时识别作物病虫害，准确率高达 93%。 Plantix 演算法分析影像以确定问题并提出建议。因此，亚太地区的此类发展推动了农业市场的人工智慧。

亚太地区人工智慧农业市场收入及2030年预测（百万美元）

亚太地区人工智慧农业市场细分

亚太地区农业人工智慧市场按组成部分、应用程式和国家/地区进行分类。

根据组成部分，亚太农业人工智慧市场分为硬体、软体和服务。 2022 年，软体领域占据最大的市场份额。

从应用来看，亚太人工智慧在农业市场主要分为精准农业、无人机分析、农业机器人、牲畜监测等。 2022 年，精准农业领域占最大的市场份额。

依国家划分，亚太地区农业人工智慧市场分为澳洲、中国、印度、日本、韩国和亚太其他地区。 2022年，中国在亚太农业人工智慧市场份额中占据主导地位。

Tule Technologies Inc、迪尔公司、国际商业机器公司和微软公司是亚太地区农业人工智慧市场的一些领先公司。

目录

第 1 章：简介

第 2 章：执行摘要

  • 主要见解
  • 市场吸引力

第 3 章：研究方法

  • 覆盖范围
  • 二次研究
  • 初步研究

第 4 章：农业市场格局中的人工智慧

  • 概述
  • PEST分析
  • 生态系分析
    • 价值链供应商名单

第 5 章：亚太地区农业市场人工智慧 - 主要市场动态

  • 市场驱动因素
    • 农业即时分析的需求不断增加
    • 政府越来越支持人工智慧解决方案的实施
    • 越来越多地在农业中使用 Ariel 无人机 (UAV)
  • 限制
    • 技术熟练劳动力短缺
    • 农业设备人工智慧实施成本高
  • 机会
    • 增加智慧农业
    • 发展中国家的潜在成长机会
  • 未来趋势
    • 农业机器人与自动化
  • 驱动因素和限制的影响：

第 6 章：农业市场中的人工智慧 - 亚太市场分析

  • 人工智慧在农业市场收入，2020-2030
  • 人工智慧在农业市场预测分析

第 7 章：亚太地区农业人工智慧市场分析 - 按组成部分

  • 硬体
  • 软体
  • 服务

第 8 章：亚太地区农业人工智慧市场分析 - 按应用

  • 精准农业
  • 无人机分析
  • 农业机器人
  • 牲畜监测
  • 其他的

第 9 章：亚太地区农业市场人工智慧 - 国家分析

    • 亚太地区
      • 中国
      • 日本
      • 印度
      • 澳洲
      • 韩国
      • 亚太地区其他地区

第 10 章：竞争格局

  • 关键参与者的热图分析
  • 公司定位与专注

第 11 章：产业格局

  • 概述
  • 市场主动性
  • 产品开发
  • 併购

第 12 章：公司简介

  • Deere & Co
  • International Business Machines Corp
  • Microsoft Corp
  • Tule Technologies Inc

第 13 章：附录

Product Code: BMIRE00030617

The Asia Pacific artificial intelligence in agriculture market was valued at US$ 356.33 million in 2022 and is expected to reach US$ 1,876.98 million by 2030; it is estimated to record a CAGR of 23.1% from 2022 to 2030.

Potential Growth Opportunities in Developing Countries Boost Asia Pacific Artificial Intelligence in Agriculture Market

Developing countries confront particular issues in agriculture, including limited resources, small landholdings, insufficient water, and a lack of access to technology and credit. Climate change has resulted in increased droughts, floods, and insect infestation. Difficulty in connecting to markets and receiving fair pricing for crops. In response to these challenges, various governments across developing countries are focusing on AI in agriculture. AI has the potential to address these issues while dramatically increasing agricultural output and sustainability in developing countries. Several global organizations are taking various initiatives. For example, AI4AI intends to scale digital agriculture through public-private partnerships and reach one million farmers worldwide by 2027. Under the public-private partnership, the government across the world has taken several steps. For example, the Public-Private Partnerships for Digital Transformation of Agriculture project intends to strengthen policy recommendations for Agriculture 4.0 frameworks using data from pilots established since 2021. The goal is to achieve 100 cases and assess their appropriateness for new crops, such as plantain, cape gooseberry, and palm, in addition to historical crops, including cocoa, coffee, and avocado.

Another example is India, which is focusing on scaling digital agriculture. For example, the Government of India is collaborating with the corporate sector, industry, and farmer organizations. Agri Stack is the government's digital foundation for bringing multiple stakeholders together to promote agriculture in India and enable improved outcomes and results for farmers through the use of data and digital services. In 2022, India led multi-stakeholder discussions in six working groups to make recommendations on Public-Private Partnerships in Digital Agriculture. Thus, such initiatives by developing economies are anticipated to create several opportunities for AI in agriculture market.

Asia Pacific Artificial Intelligence in Agriculture Market Overview

The Asia Pacific AI in agriculture market is segmented into Australia, India, China, Japan, South Korea, and the Rest of Asia Pacific. According to the theme chapter of the Asian Development Outlook 2021 Update, 76% of the poor people live in rural regions; increasing agricultural output and income is critical to eliminating poverty. Thus, governments across the region are taking initiatives to transform agriculture to make it more climate-proof and modern. For example, in December 2023, China developed its first domestically designed unmanned vertical plant factory in Chengdu. The team at the Institute of Urban Agriculture (IUA) and the Chinese Academy of Agricultural Sciences (CAAS) deployed robots that can produce and harvest a lettuce crop in 35 days. This artificial intelligence-based control system uses cutting-edge technology and algorithms to monitor, analyze, and change important environmental factors within the vertical farming operation.

Several players across the region are taking strategic initiatives such as partnerships and collaborations to provide AI-enabled farming. For example, in November 2022, Syngenta and Plantix, an image recognition company, announced a partnership that to offer AI-enabled digital farming tools to at least half a million smallholder farmers in Asia Pacific. The partnership provides smallholder farmers access to a worldwide database of over 50 crops and 500 illnesses, available via Syngenta's Cropwise Grower app for farmers. The app harnesses the power of data to safeguard crop yields by providing on-demand advice on agricultural best practices and crop protection solutions. Cropwise Grower uses AI to allow farmers to snap a photo of a crop problem and identify crop pests and illnesses in real-time with 93% accuracy. The Plantix algorithms analyze the image to determine the problem and make a recommendation. Thus, such developments across the Asia Pacific propel the AI in agriculture market.

Asia Pacific Artificial Intelligence in Agriculture Market Revenue and Forecast to 2030 (US$ Million)

Asia Pacific Artificial Intelligence in Agriculture Market Segmentation

The Asia Pacific artificial intelligence in agriculture market is categorized into components, application, and country.

Based on component, the Asia Pacific artificial intelligence in agriculture market is categorized into hardware, software, and services. The software segment held the largest market share in 2022.

In terms of application, the Asia Pacific artificial intelligence in agriculture market is categorized into precision farming, drone analytics, agriculture robots, livestock monitoring, and others. The precision farming segment held the largest market share in 2022.

By country, the Asia Pacific artificial intelligence in agriculture market is segmented into Australia, China, India, Japan, South Korea, and the Rest of Asia Pacific. China dominated the Asia Pacific artificial intelligence in agriculture market share in 2022.

Tule Technologies Inc, Deere & Co, International Business Machines Corp, and Microsoft Corp are some of the leading companies operating in the Asia Pacific artificial intelligence in agriculture market.

Table Of Contents

1. Introduction

  • 1.1 The Insight Partners Research Report Guidance
  • 1.2 Market Segmentation

2. Executive Summary

  • 2.1 Key Insights
  • 2.2 Market Attractiveness

3. Research Methodology

  • 3.1 Coverage
  • 3.2 Secondary Research
  • 3.3 Primary Research

4. Artificial Intelligence in Agriculture Market Landscape

  • 4.1 Overview
  • 4.2 PEST Analysis
  • 4.3 Ecosystem Analysis
    • 4.3.1 List of Vendors in the Value Chain

5. Asia Pacific Artificial Intelligence in Agriculture Market - Key Market Dynamics

  • 5.1 Market Drivers
    • 5.1.1 Increasing Need for Real-Time Analytics in Agriculture
    • 5.1.2 Growing Government Support for Implementation of AI Solution
    • 5.1.3 Growing Use of Unmanned Ariel Vehicles (UAVs) in Farming
  • 5.2 Restraints
    • 5.2.1 Shortage of Technically Skilled Labor
    • 5.2.2 High Implementation Cost of AI in Farming Equipment
  • 5.3 Opportunity
    • 5.3.1 Increasing Smart Farming
    • 5.3.2 Potential Growth Opportunities in Developing Countries
  • 5.4 Future Trend
    • 5.4.1 Robotics and Automation in Agriculture
  • 5.5 Impact of Drivers and Restraints:

6. Artificial Intelligence in Agriculture Market - Asia Pacific Market Analysis

  • 6.1 Artificial Intelligence in Agriculture Market Revenue (US$ Million), 2020-2030
  • 6.2 Artificial Intelligence in Agriculture Market Forecast Analysis

7. Asia Pacific Artificial Intelligence in Agriculture Market Analysis - by Component

  • 7.1 Hardware
    • 7.1.1 Overview
    • 7.1.2 Hardware: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • 7.2 Software
    • 7.2.1 Overview
    • 7.2.2 Software: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • 7.3 Services
    • 7.3.1 Overview
    • 7.3.2 Services: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)

8. Asia Pacific Artificial Intelligence in Agriculture Market Analysis - by Application

  • 8.1 Precision Farming
    • 8.1.1 Overview
    • 8.1.2 Precision Farming: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • 8.2 Drone Analytics
    • 8.2.1 Overview
    • 8.2.2 Drone Analytics: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • 8.3 Agriculture Robots
    • 8.3.1 Overview
    • 8.3.2 Agriculture Robots: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • 8.4 Livestock Monitoring
    • 8.4.1 Overview
    • 8.4.2 Livestock Monitoring: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • 8.5 Others
    • 8.5.1 Overview
    • 8.5.2 Others: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)

9. Asia Pacific Artificial Intelligence in Agriculture Market - Country Analysis

  • 9.1 Asia Pacific Artificial Intelligence in Agriculture Market Overview
    • 9.1.1 Asia Pacific: Artificial Intelligence in Agriculture Market - Revenue and Forecast Analysis - by Country
      • 9.1.1.1 Asia Pacific: Artificial Intelligence in Agriculture Market - Revenue and Forecast Analysis - by Country
      • 9.1.1.2 China: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
        • 9.1.1.2.1 China: Artificial Intelligence in Agriculture Market Breakdown, by Component
        • 9.1.1.2.2 China: Artificial Intelligence in Agriculture Market Breakdown, by Application
      • 9.1.1.3 Japan: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
        • 9.1.1.3.1 Japan: Artificial Intelligence in Agriculture Market Breakdown, by Component
        • 9.1.1.3.2 Japan: Artificial Intelligence in Agriculture Market Breakdown, by Application
      • 9.1.1.4 India: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
        • 9.1.1.4.1 India: Artificial Intelligence in Agriculture Market Breakdown, by Component
        • 9.1.1.4.2 India: Artificial Intelligence in Agriculture Market Breakdown, by Application
      • 9.1.1.5 Australia: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
        • 9.1.1.5.1 Australia: Artificial Intelligence in Agriculture Market Breakdown, by Component
        • 9.1.1.5.2 Australia: Artificial Intelligence in Agriculture Market Breakdown, by Application
      • 9.1.1.6 South Korea: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
        • 9.1.1.6.1 South Korea: Artificial Intelligence in Agriculture Market Breakdown, by Component
        • 9.1.1.6.2 South Korea: Artificial Intelligence in Agriculture Market Breakdown, by Application
      • 9.1.1.7 Rest of Asia Pacific: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
        • 9.1.1.7.1 Rest of Asia Pacific: Artificial Intelligence in Agriculture Market Breakdown, by Component
        • 9.1.1.7.2 Rest of Asia Pacific: Artificial Intelligence in Agriculture Market Breakdown, by Application

10. Competitive Landscape

  • 10.1 Heat Map Analysis by Key Players
  • 10.2 Company Positioning & Concentration

11. Industry Landscape

  • 11.1 Overview
  • 11.2 Market Initiative
  • 11.3 Product Development
  • 11.4 Mergers & Acquisitions

12. Company Profiles

  • 12.1 Deere & Co
    • 12.1.1 Key Facts
    • 12.1.2 Business Description
    • 12.1.3 Products and Services
    • 12.1.4 Financial Overview
    • 12.1.5 SWOT Analysis
    • 12.1.6 Key Developments
  • 12.2 International Business Machines Corp
    • 12.2.1 Key Facts
    • 12.2.2 Business Description
    • 12.2.3 Products and Services
    • 12.2.4 Financial Overview
    • 12.2.5 SWOT Analysis
    • 12.2.6 Key Developments
  • 12.3 Microsoft Corp
    • 12.3.1 Key Facts
    • 12.3.2 Business Description
    • 12.3.3 Products and Services
    • 12.3.4 Financial Overview
    • 12.3.5 SWOT Analysis
    • 12.3.6 Key Developments
  • 12.4 Tule Technologies Inc
    • 12.4.1 Key Facts
    • 12.4.2 Business Description
    • 12.4.3 Products and Services
    • 12.4.4 Financial Overview
    • 12.4.5 SWOT Analysis
    • 12.4.6 Key Developments

13. Appendix

  • 13.1 Word Index
  • 13.2 About The Insight Partners

List Of Tables

  • Table 1. Artificial Intelligence in Agriculture Market Segmentation
  • Table 2. List of Vendors
  • Table 3. Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Table 4. Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Component
  • Table 5. Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Application
  • Table 6. Asia Pacific: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Country
  • Table 7. China: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Component
  • Table 8. China: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Application
  • Table 9. Japan: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Component
  • Table 10. Japan: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Application
  • Table 11. India: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Component
  • Table 12. India: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Application
  • Table 13. Australia: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Component
  • Table 14. Australia: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Application
  • Table 15. South Korea: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Component
  • Table 16. South Korea: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Application
  • Table 17. Rest of Asia Pacific: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Component
  • Table 18. Rest of Asia Pacific: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Application
  • Table 19. Company Positioning & Concentration
  • Table 20. List of Abbreviation

List Of Figures

  • Figure 1. Artificial Intelligence in Agriculture Market Segmentation, by Country
  • Figure 2. PEST Analysis
  • Figure 3. Artificial Intelligence in Agriculture Market - Key Market Dynamics
  • Figure 4. Impact Analysis of Drivers and Restraints
  • Figure 5. Artificial Intelligence in Agriculture Market Revenue (US$ Million), 2020-2030
  • Figure 6. Artificial Intelligence in Agriculture Market Share (%) - by Component (2022 and 2030)
  • Figure 7. Hardware: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 8. Software: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 9. Services: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 10. Artificial Intelligence in Agriculture Market Share (%) - by Application (2022 and 2030)
  • Figure 11. Precision Farming: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 12. Drone Analytics: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 13. Agriculture Robots: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 14. Livestock Monitoring: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 15. Others: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 16. Asia Pacific: Artificial Intelligence in Agriculture Market, by Key Country - Revenue (2022) (US$ Million)
  • Figure 17. Asia Pacific: Artificial Intelligence in Agriculture Market Breakdown, by Key Countries, 2022 and 2030 (%)
  • Figure 18. China: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 19. Japan: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 20. India: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 21. Australia: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 22. South Korea: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 23. Rest of Asia Pacific: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 24. Heat Map Analysis by Key Players