Product Code: ETC8833589 | Publication Date: Sep 2024 | Updated Date: Jun 2025 | Product Type: Market Research Report | |
Publisher: 6Wresearch | Author: Bhawna Singh | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
AI applications in Philippine agriculture include crop monitoring, yield prediction, pest detection, and precision farming, helping farmers optimize resources and increase productivity. The AI in agriculture market is growing as the country seeks to modernize its agricultural sector and address challenges such as climate variability and labor shortages. Government programs supporting digital agriculture, alongside partnerships with tech firms, bolster this market. Barriers include digital literacy among farmers and the need for affordable AI solutions adapted to local conditions.
AI applications in Philippine agriculture focus on yield prediction, pest detection, soil health monitoring, and automated machinery. These innovations aim to increase productivity, reduce resource use, and support climate-resilient farming practices, aligning with national food security strategies.
The AI in agriculture market is constrained by limited digital infrastructure and connectivity in rural areas, reducing the effectiveness of AI-driven solutions. Farmers often lack the technical knowledge to utilize AI tools fully, and high costs limit accessibility. Data collection challenges and variability in local farming conditions reduce model accuracy. Furthermore, concerns about data ownership and privacy among farmers remain unresolved.
AI applications in Philippine agriculture provide opportunities to enhance productivity through precision farming, crop health monitoring, and yield prediction. Investment areas include AI-driven drones, sensor networks, and data analytics platforms tailored to local crop varieties and farming practices. Government support for digital agriculture and sustainable farming creates a favorable environment for introducing AI solutions that improve resource use efficiency and reduce environmental impact.
The Department of Agriculture (DA) is integrating AI into its Digital Agriculture Framework to improve crop forecasting, pest detection, and resource management. Government funding for agri-tech startups and the establishment of the National Agriculture and Fisheries Modernization and Industrialization Plan (NAFMIP) reflect strong policy interest in AI-driven productivity tools. Public-private partnerships and pilot programs are expanding AIâs role in precision agriculture.
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Philippines AI in Agriculture Market Overview |
3.1 Philippines Country Macro Economic Indicators |
3.2 Philippines AI in Agriculture Market Revenues & Volume, 2021 & 2031F |
3.3 Philippines AI in Agriculture Market - Industry Life Cycle |
3.4 Philippines AI in Agriculture Market - Porter's Five Forces |
3.5 Philippines AI in Agriculture Market Revenues & Volume Share, By Application, 2021 & 2031F |
3.6 Philippines AI in Agriculture Market Revenues & Volume Share, By Deployment, 2021 & 2031F |
4 Philippines AI in Agriculture Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.3 Market Restraints |
5 Philippines AI in Agriculture Market Trends |
6 Philippines AI in Agriculture Market, By Types |
6.1 Philippines AI in Agriculture Market, By Application |
6.1.1 Overview and Analysis |
6.1.2 Philippines AI in Agriculture Market Revenues & Volume, By Application, 2021- 2031F |
6.1.3 Philippines AI in Agriculture Market Revenues & Volume, By Weather tracking, 2021- 2031F |
6.1.4 Philippines AI in Agriculture Market Revenues & Volume, By Precision farming, 2021- 2031F |
6.1.5 Philippines AI in Agriculture Market Revenues & Volume, By Drone analytics, 2021- 2031F |
6.2 Philippines AI in Agriculture Market, By Deployment |
6.2.1 Overview and Analysis |
6.2.2 Philippines AI in Agriculture Market Revenues & Volume, By Cloud, 2021- 2031F |
6.2.3 Philippines AI in Agriculture Market Revenues & Volume, By On-premises, 2021- 2031F |
6.2.4 Philippines AI in Agriculture Market Revenues & Volume, By Hybrid, 2021- 2031F |
7 Philippines AI in Agriculture Market Import-Export Trade Statistics |
7.1 Philippines AI in Agriculture Market Export to Major Countries |
7.2 Philippines AI in Agriculture Market Imports from Major Countries |
8 Philippines AI in Agriculture Market Key Performance Indicators |
9 Philippines AI in Agriculture Market - Opportunity Assessment |
9.1 Philippines AI in Agriculture Market Opportunity Assessment, By Application, 2021 & 2031F |
9.2 Philippines AI in Agriculture Market Opportunity Assessment, By Deployment, 2021 & 2031F |
10 Philippines AI in Agriculture Market - Competitive Landscape |
10.1 Philippines AI in Agriculture Market Revenue Share, By Companies, 2024 |
10.2 Philippines AI in Agriculture Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |