Product Code: ETC4581389 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
Publisher: 6Wresearch | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 | |
The integration of artificial intelligence (AI) in agriculture is transforming the country`s farming practices. AI is being used for crop monitoring, pest control, and yield optimization, contributing to increased agricultural productivity and sustainability. As the need for efficient farming methods grows, the AI in agriculture market holds significant promise for Indonesia`s agricultural sector.
The Indonesia Artificial Intelligence in Agriculture market is driven by the need to enhance productivity and sustainability in the agricultural sector. AI technologies offer the potential to optimize resource allocation, improve crop management, and make data-driven decisions. The increasing awareness of the benefits of AI in addressing food security challenges and improving farm yield is a crucial driver, prompting the adoption of these technologies in Indonesian agriculture.
The application of artificial intelligence in agriculture in Indonesia faces challenges related to data accessibility and quality. Collecting, storing, and managing agricultural data in a uniform and usable format is a significant obstacle. Additionally, the adoption of AI in agriculture is hindered by the need for significant infrastructure improvements and connectivity in rural areas.
The COVID-19 pandemic underscored the importance of food security and sustainable agriculture in Indonesia. This led to increased interest in AI-driven solutions for agriculture. Farmers and agribusinesses faced labor shortages and supply chain disruptions during the pandemic, highlighting the need for technology-driven agricultural practices. AI in agriculture saw a surge in adoption as stakeholders sought to improve productivity, optimize resource allocation, and ensure the resilience of the agricultural sector.
Indonesia`s AI in agriculture market benefits from companies like IBM, Microsoft, and Huawei, which offer AI-driven solutions for precision farming, crop monitoring, and predictive analytics.
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 Indonesia Artificial Intelligence in Agriculture Market Overview |
3.1 Indonesia Country Macro Economic Indicators |
3.2 Indonesia Artificial Intelligence in Agriculture Market Revenues & Volume, 2021 & 2031F |
3.3 Indonesia Artificial Intelligence in Agriculture Market - Industry Life Cycle |
3.4 Indonesia Artificial Intelligence in Agriculture Market - Porter's Five Forces |
3.5 Indonesia Artificial Intelligence in Agriculture Market Revenues & Volume Share, By Technology, 2021 & 2031F |
3.6 Indonesia Artificial Intelligence in Agriculture Market Revenues & Volume Share, By Offering, 2021 & 2031F |
3.7 Indonesia Artificial Intelligence in Agriculture Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 Indonesia Artificial Intelligence in Agriculture Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of technology in agriculture sector in Indonesia |
4.2.2 Government initiatives to promote modern farming practices |
4.2.3 Growing awareness about the benefits of artificial intelligence in improving agricultural productivity |
4.3 Market Restraints |
4.3.1 High initial investment costs for implementing AI technology in agriculture |
4.3.2 Limited technical knowledge and expertise among farmers in utilizing AI solutions effectively |
4.3.3 Infrastructure challenges in rural areas impacting the adoption of AI in agriculture |
5 Indonesia Artificial Intelligence in Agriculture Market Trends |
6 Indonesia Artificial Intelligence in Agriculture Market, By Types |
6.1 Indonesia Artificial Intelligence in Agriculture Market, By Technology |
6.1.1 Overview and Analysis |
6.1.2 Indonesia Artificial Intelligence in Agriculture Market Revenues & Volume, By Technology, 2021-2031F |
6.1.3 Indonesia Artificial Intelligence in Agriculture Market Revenues & Volume, By Machine Learning, 2021-2031F |
6.1.4 Indonesia Artificial Intelligence in Agriculture Market Revenues & Volume, By Computer Vision, 2021-2031F |
6.1.5 Indonesia Artificial Intelligence in Agriculture Market Revenues & Volume, By Predictive Analytics, 2021-2031F |
6.2 Indonesia Artificial Intelligence in Agriculture Market, By Offering |
6.2.1 Overview and Analysis |
6.2.2 Indonesia Artificial Intelligence in Agriculture Market Revenues & Volume, By Software, 2021-2031F |
6.2.3 Indonesia Artificial Intelligence in Agriculture Market Revenues & Volume, By AI-as-a-Service, 2021-2031F |
6.3 Indonesia Artificial Intelligence in Agriculture Market, By Application |
6.3.1 Overview and Analysis |
6.3.2 Indonesia Artificial Intelligence in Agriculture Market Revenues & Volume, By Drone Analytics, 2021-2031F |
6.3.3 Indonesia Artificial Intelligence in Agriculture Market Revenues & Volume, By Precision Farming, 2021-2031F |
7 Indonesia Artificial Intelligence in Agriculture Market Import-Export Trade Statistics |
7.1 Indonesia Artificial Intelligence in Agriculture Market Export to Major Countries |
7.2 Indonesia Artificial Intelligence in Agriculture Market Imports from Major Countries |
8 Indonesia Artificial Intelligence in Agriculture Market Key Performance Indicators |
8.1 Adoption rate of AI technology in agriculture practices |
8.2 Increase in crop yield and productivity through AI implementation |
8.3 Reduction in resource wastage and environmental impact with AI solutions |
9 Indonesia Artificial Intelligence in Agriculture Market - Opportunity Assessment |
9.1 Indonesia Artificial Intelligence in Agriculture Market Opportunity Assessment, By Technology, 2021 & 2031F |
9.2 Indonesia Artificial Intelligence in Agriculture Market Opportunity Assessment, By Offering, 2021 & 2031F |
9.3 Indonesia Artificial Intelligence in Agriculture Market Opportunity Assessment, By Application, 2021 & 2031F |
10 Indonesia Artificial Intelligence in Agriculture Market - Competitive Landscape |
10.1 Indonesia Artificial Intelligence in Agriculture Market Revenue Share, By Companies, 2024 |
10.2 Indonesia Artificial Intelligence in Agriculture Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |