Product Code: ETC4581385 | 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 | |
Artificial Intelligence (AI) is making a substantial impact on India agriculture sector. AI technologies are being used to analyze and process large volumes of agricultural data, helping farmers make data-driven decisions to improve crop yields and optimize resource use. The India AI in agriculture market is growing as farmers and agribusinesses embrace AI solutions for tasks like crop monitoring, pest control, and yield prediction. The need to ensure food security in a densely populated country like India has spurred the adoption of AI in agriculture, with AI-driven solutions becoming an essential tool for modern farming practices.
The India artificial intelligence in agriculture market is thriving as the agricultural sector seeks to improve crop management and yield prediction. AI technologies, such as machine learning and computer vision, are being used to analyze data from sensors and drones to optimize farming practices. The need for sustainable and data-driven agriculture is a key driver for the adoption of AI in the sector.
The artificial intelligence (AI) in agriculture market in India faces several challenges. Customizing AI solutions for diverse agricultural practices and varying crop types requires substantial research and development. The limited availability of high-quality agricultural data and a skilled workforce with AI expertise can hinder the development and adoption of AI applications in agriculture. The cost of AI technology and software may be prohibitive for many small-scale farmers. Regulatory and data privacy concerns related to the use of AI in agriculture need to be addressed. Additionally, educating farmers about the benefits of AI and providing the necessary infrastructure for connectivity and data collection can be challenging in rural areas of India.
The COVID-19 pandemic underscored the importance of food security and sustainable agriculture. The adoption of AI in agriculture for crop monitoring, precision farming, and supply chain optimization is expected to increase as the industry seeks resilient and efficient solutions in the post-pandemic period.
Key players in AI for agriculture include CropIn, RML AgTech, and Intello Labs. These companies offer AI-based solutions for crop monitoring, predictive analytics, and farm management.
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 India Artificial Intelligence in Agriculture Market Overview |
3.1 India Country Macro Economic Indicators |
3.2 India Artificial Intelligence in Agriculture Market Revenues & Volume, 2021 & 2031F |
3.3 India Artificial Intelligence in Agriculture Market - Industry Life Cycle |
3.4 India Artificial Intelligence in Agriculture Market - Porter's Five Forces |
3.5 India Artificial Intelligence in Agriculture Market Revenues & Volume Share, By Technology, 2021 & 2031F |
3.6 India Artificial Intelligence in Agriculture Market Revenues & Volume Share, By Offering, 2021 & 2031F |
3.7 India Artificial Intelligence in Agriculture Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 India Artificial Intelligence in Agriculture Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Government initiatives and support for the adoption of artificial intelligence in agriculture. |
4.2.2 Increasing need for enhancing crop productivity and efficiency in farming practices. |
4.2.3 Rising awareness among farmers about the benefits of AI in improving agricultural outcomes. |
4.3 Market Restraints |
4.3.1 High initial investment costs associated with implementing AI technologies in agriculture. |
4.3.2 Lack of skilled workforce to effectively utilize AI tools in the agriculture sector. |
4.3.3 Concerns regarding data privacy and security in AI applications for agriculture. |
5 India Artificial Intelligence in Agriculture Market Trends |
6 India Artificial Intelligence in Agriculture Market, By Types |
6.1 India Artificial Intelligence in Agriculture Market, By Technology |
6.1.1 Overview and Analysis |
6.1.2 India Artificial Intelligence in Agriculture Market Revenues & Volume, By Technology, 2021-2031F |
6.1.3 India Artificial Intelligence in Agriculture Market Revenues & Volume, By Machine Learning, 2021-2031F |
6.1.4 India Artificial Intelligence in Agriculture Market Revenues & Volume, By Computer Vision, 2021-2031F |
6.1.5 India Artificial Intelligence in Agriculture Market Revenues & Volume, By Predictive Analytics, 2021-2031F |
6.2 India Artificial Intelligence in Agriculture Market, By Offering |
6.2.1 Overview and Analysis |
6.2.2 India Artificial Intelligence in Agriculture Market Revenues & Volume, By Software, 2021-2031F |
6.2.3 India Artificial Intelligence in Agriculture Market Revenues & Volume, By AI-as-a-Service, 2021-2031F |
6.3 India Artificial Intelligence in Agriculture Market, By Application |
6.3.1 Overview and Analysis |
6.3.2 India Artificial Intelligence in Agriculture Market Revenues & Volume, By Drone Analytics, 2021-2031F |
6.3.3 India Artificial Intelligence in Agriculture Market Revenues & Volume, By Precision Farming, 2021-2031F |
7 India Artificial Intelligence in Agriculture Market Import-Export Trade Statistics |
7.1 India Artificial Intelligence in Agriculture Market Export to Major Countries |
7.2 India Artificial Intelligence in Agriculture Market Imports from Major Countries |
8 India Artificial Intelligence in Agriculture Market Key Performance Indicators |
8.1 Adoption rate of AI technologies in agriculture. |
8.2 Efficiency gains in crop yield and resource utilization. |
8.3 Reduction in environmental impact through AI-driven farming practices. |
9 India Artificial Intelligence in Agriculture Market - Opportunity Assessment |
9.1 India Artificial Intelligence in Agriculture Market Opportunity Assessment, By Technology, 2021 & 2031F |
9.2 India Artificial Intelligence in Agriculture Market Opportunity Assessment, By Offering, 2021 & 2031F |
9.3 India Artificial Intelligence in Agriculture Market Opportunity Assessment, By Application, 2021 & 2031F |
10 India Artificial Intelligence in Agriculture Market - Competitive Landscape |
10.1 India Artificial Intelligence in Agriculture Market Revenue Share, By Companies, 2024 |
10.2 India Artificial Intelligence in Agriculture Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |