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亞太地區人工智慧農業市場預測至 2030 年 - 區域分析 - 按組件（硬體、軟體和服務）和應用（精準農業、無人機分析、農業機器人、牲畜監測等）
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1567902

亞太地區人工智慧農業市場預測至 2030 年 - 區域分析 - 按組件（硬體、軟體和服務）和應用（精準農業、無人機分析、農業機器人、牲畜監測等）

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 | 訂單完成後即時交付

價格

2022年亞太地區人工智慧農業市場規模為3.5633億美元，預計到2030年將達到18.7698億美元；預計2022年至2030年複合年成長率為23.1%。

發展中國家的潛在成長機會推動亞太人工智慧農業市場

發展中國家在農業方面面臨特殊問題，包括資源有限、土地面積小、水資源不足、缺乏技術和信貸。氣候變遷導致乾旱、洪水和蟲害加劇。難以與市場建立聯繫並獲得公平的農作物定價。為了因應這些挑戰，發展中國家各國政府將重點放在農業人工智慧。人工智慧有潛力解決這些問題，同時大幅提高發展中國家的農業產量和永續性。一些全球組織正在採取各種措施。例如，AI4AI打算透過公私合作夥伴關係擴大數位農業規模，到2027年涵蓋全球100萬農民。例如，農業數位轉型公私夥伴關係計畫旨在利用 2021 年以來建立的試點資料加強農業 4.0 框架的政策建議。 、咖啡和酪梨等歷史作物外，還有醋栗和棕櫚。

另一個例子是印度，該國專注於擴大數位農業。例如，印度政府正在與企業部門、工業和農民組織合作。 Agri Stack 是政府的數位基金會，旨在將多個利益相關者聚集在一起，促進印度農業發展，並透過使用資料和數位服務來改善農民的成果和成果。 2022年，印度在六個工作小組中牽頭進行多方利益相關者討論，就數位農業的公私合作夥伴關係提出建議。因此，發展中經濟體的此類舉措預計將為農業市場的人工智慧創造一些機會。

亞太地區人工智慧農業市場概況

亞太地區農業人工智慧市場分為澳洲、印度、中國、日本、韓國和亞太其他地區。根據《2021年亞洲發展展望更新》主題章節，76%的貧窮人口居住在農村地區；增加農業產量和收入對於消除貧窮至關重要。因此，該地區各國政府正在採取措施改造農業，使其更加適應氣候變遷和現代化。例如，2023年12月，中國在成都開發了第一個自主設計的無人垂直植物工廠。城市農業研究所 (IUA) 和中國農業科學院 (CAAS) 的團隊部署的機器人可以在 35 天內生產和收穫生菜作物。這種基於人工智慧的控制系統使用尖端技術和演算法來監控、分析和改變垂直農業作業中的重要環境因素。

該地區的一些參與者正在採取夥伴關係和協作等策略性舉措，以提供人工智慧支援的農業。例如，2022 年 11 月，先正達和影像辨識公司 Plantix 宣佈建立合作夥伴關係，為亞太地區至少 50 萬小農提供人工智慧數位農業工具。這項合作關係使小農能夠存取包含 50 多種作物和 500 種疾病的全球資料庫，這些資料庫可透過先正達的 Cropwise Grower 應用程式為農民提供。該應用程式利用資料的力量，透過提供有關農業最佳實踐和作物保護解決方案的按需建議來保障作物產量。 Cropwise Grower 使用人工智慧讓農民拍攝作物問題的照片並即時識別作物病蟲害，準確率高達 93%。 Plantix 演算法分析影像以確定問題並提出建議。因此，亞太地區的此類發展推動了農業市場的人工智慧。

亞太地區人工智慧農業市場收入及2030年預測（百萬美元）

亞太地區人工智慧農業市場細分

亞太地區農業人工智慧市場按組成部分、應用程式和國家/地區進行分類。

根據組成部分，亞太農業人工智慧市場分為硬體、軟體和服務。 2022 年，軟體領域佔據最大的市場佔有率。

從應用來看，亞太人工智慧在農業市場主要分為精準農業、無人機分析、農業機器人、牲畜監測等。 2022 年，精準農業領域佔最大的市場佔有率。

依國家分類，亞太地區農業人工智慧市場分為澳洲、中國、印度、日本、韓國和亞太其他地區。 2022年，中國在亞太農業人工智慧市場佔有率中佔據主導地位。

Tule Technologies Inc、迪爾公司、國際商業機器公司和微軟公司是亞太地區農業人工智慧市場的一些領先公司。

目錄

第 1 章：簡介

第 2 章：執行摘要

  • 主要見解
  • 市場吸引力

第 3 章：研究方法

  • 覆蓋範圍
  • 二次研究
  • 初步研究

第 4 章：農業市場格局中的人工智慧

  • 概述
  • PEST分析
  • 生態系分析
    • 價值鏈供應商名單

第 5 章：亞太地區農業市場人工智慧 - 主要市場動態

  • 市場促進因素
    • 農業即時分析的需求不斷增加
    • 政府越來越支持人工智慧解決方案的實施
    • 擴大在農業中使用 Ariel 無人機 (UAV)
  • 限制
    • 技術熟練勞動力短缺
    • 農業設備人工智慧實施成本高
  • 機會
    • 增加智慧農業
    • 發展中國家的潛在成長機會
  • 未來趨勢
    • 農業機器人與自動化
  • 促進因素和限制的影響：

第 6 章：農業市場中的人工智慧 - 亞太市場分析

  • 人工智慧在農業市場收入，2020-2030
  • 人工智慧在農業市場預測分析

第 7 章：亞太地區農業人工智慧市場分析 - 按組成部分

  • 硬體
  • 軟體
  • 服務

第 8 章：亞太地區農業人工智慧市場分析 - 按應用

  • 精準農業
  • 無人機分析
  • 農業機器人
  • 牲畜監測
  • 其他

第 9 章：亞太地區農業市場人工智慧 - 國家分析

    • 亞太地區
      • 中國
      • 日本
      • 印度
      • 澳洲
      • 韓國
      • 亞太地區其他地區

第 10 章：競爭格局

  • 關鍵參與者的熱圖分析
  • 公司定位與專注

第 11 章：產業格局

  • 概述
  • 市場主動性
  • 產品開發
  • 併購

第 12 章：公司簡介

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

第 13 章：附錄

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