1h Free Analyst Time
The Artificial Intelligence in Agriculture Market grew from USD 2.25 billion in 2023 to USD 2.73 billion in 2024. It is expected to continue growing at a CAGR of 22.45%, reaching USD 9.29 billion by 2030. Speak directly to the analyst to clarify any post sales queries you may have.
The scope and definition of artificial intelligence (AI) in agriculture encompass the application of advanced technologies like machine learning, robotics, and data analytics to enhance farming efficiency and productivity. AI aids in crop monitoring, soil management, predictive analytics, and automated harvesting, addressing challenges such as food security and resource optimization. The necessity of AI in agriculture stems from the growing need to increase agricultural output to meet the demands of a rising global population, alongside reducing environmental impact. Applications include precision farming, enhanced pest control methods, weather forecasting, and resource management, with end-use spanning from smallholder farmers to large agribusinesses. Key growth drivers include the increasing focus on smart farming techniques, government initiatives supporting sustainable agriculture, and the advancements in IoT devices for real-time data extraction. The integration of AI solutions signifies enormous potential opportunities in improving operational efficiency and minimizing costs. However, these are challenged by high costs of implementation, data privacy concerns, and the need for substantial digital infrastructure in rural areas. To seize AI opportunities, businesses should explore partnerships with tech firms for innovative development and deploy AI solutions that are adaptable to various agricultural settings. Innovation areas include developing low-cost AI tools accessible to small-scale farmers, enhancing AI-driven predictive analytics for better decision-making, and improving machine learning algorithms for accurate yield predictions. Market limitations include the reluctance of the traditional farming sector to adopt new technologies and lack of skilled personnel for AI operations. Nevertheless, sectors poised for growth and innovation include AI-enabled drones for crop monitoring, blockchain for supply chain transparency, and AI-powered biotechnology for seed development. The agriculture AI market exhibits a dynamic nature, characterized by rapid technological advancements and a collaborative ecosystem approach, emphasizing the strategic importance of integrating AI solutions across the agricultural value chain.
Understanding Market Dynamics in the Artificial Intelligence in Agriculture Market
The Artificial Intelligence in Agriculture Market is rapidly evolving, shaped by dynamic supply and demand trends. These insights provide companies with actionable intelligence to drive investments, develop strategies, and seize emerging opportunities. A comprehensive understanding of market dynamics also helps organizations mitigate political, geographical, technical, social, and economic risks while offering a clearer view of consumer behavior and its effects on manufacturing costs and purchasing decisions.- Market Drivers
- Growing trend of predictive analytics to enhance agricultural productivity
- Favorable government and private organizations initiatives to adopt modernagricultural technologies
- Escalating adoption of advanced unmanned aerial vehicles (UAVs), and satellite imaging systems across agriculture sector
- Market Restraints
- Constraints associated with the high cost of deployment of artificial intelligence (AI) in precision farming equipment
- Market Opportunities
- Emerging application of AI based agriculture in livestock monitoring and precision farming
- Integration of advanced farming technologies including big data, and IoT sensors with artificial intelligence
- Market Challenges
- Lack of awareness and limited availability of skilled professionals
Exploring Porter’s Five Forces for the Artificial Intelligence in Agriculture Market
Porter’s Five Forces framework further strengthens the insights of the Artificial Intelligence in Agriculture Market, delivering a clear and effective methodology for understanding the competitive landscape. This tool enables companies to evaluate their current competitive standing and explore strategic repositioning by assessing businesses’ power dynamics and market positioning. It is also instrumental in determining the profitability of new ventures, helping companies leverage their strengths, address weaknesses, and avoid potential pitfalls.Applying PESTLE Analysis to the Artificial Intelligence in Agriculture Market
External macro-environmental factors deeply influence the performance of the Artificial Intelligence in Agriculture Market, and the PESTLE analysis provides a comprehensive framework for understanding these influences. By examining Political, Economic, Social, Technological, Legal, and Environmental elements, this analysis offers organizations critical insights into potential opportunities and risks. It also helps businesses anticipate changes in regulations, consumer behavior, and economic trends, enabling them to make informed, forward-looking decisions.Analyzing Market Share in the Artificial Intelligence in Agriculture Market
The Artificial Intelligence in Agriculture Market share analysis evaluates vendor performance. This analysis provides a clear view of each vendor’s standing in the competitive landscape by comparing key metrics such as revenue, customer base, and other critical factors. Additionally, it highlights market concentration, fragmentation, and trends in consolidation, empowering vendors to make strategic decisions that enhance their market position.Evaluating Vendor Success with the FPNV Positioning Matrix in the Artificial Intelligence in Agriculture Market
The Artificial Intelligence in Agriculture Market FPNV Positioning Matrix is crucial in evaluating vendors based on business strategy and product satisfaction levels. By segmenting vendors into four quadrants - Forefront (F), Pathfinder (P), Niche (N), and Vital (V) - this matrix helps users make well-informed decisions that best align with their unique needs and objectives in the market.Strategic Recommendations for Success in the Artificial Intelligence in Agriculture Market
The Artificial Intelligence in Agriculture Market strategic analysis is essential for organizations aiming to strengthen their position in the global market. A comprehensive review of resources, capabilities, and performance helps businesses identify opportunities for improvement and growth. This approach empowers companies to navigate challenges in the increasingly competitive landscape, ensuring they capitalize on new opportunities and align with long-term success.Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Agriculture Market, highlighting leading vendors and their innovative profiles. These include Ag Code by Wilbur-Ellis Holdings, Inc., AGCO Corporation, AgEagle Aerial Systems Inc., AgNext, Apro Software, Bayer AG., Cainthus by Ever.Ag, ClimateAi, inc., Corteva Agriscience by Albaugh, LLC, Cropin Technology Solutions Pvt Ltd., CropX Technologies Ltd., DeHaat by Green Agrevolution PVT. LTD, Descartes Labs, Inc. by Antarctica Capital, FarmBot, Inc., Farmers Edge Inc., Gamaya Inc., Gro Intelligence, Inc., Infosys Limited, Intellias, LLC, Intello Labs Private Limited, International Business Machines Corporation, John Deere Group, Keenethics., Khetibuddy Agritech Private Limited., Microsoft Corporation, PrecisionHawk Inc., Raven Industries, Inc., Trace Genomics, Inc., Trimble Inc., Tule Technologies Inc., and Wipro Limited.Market Segmentation & Coverage
This research report categorizes the Artificial Intelligence in Agriculture Market to forecast the revenues and analyze trends in each of the following sub-markets:- Offering
- Hardware
- Services
- Software
- Technology
- Computer Vision
- Machine Learning
- Predictive Analytics
- Deployment
- Cloud
- Hybrid
- On-premise
- Application
- Agriculture Robots
- Drone Analytics
- Labor Management
- Livestock Monitoring
- Precision Farming
- Region
- Americas
- Argentina
- Brazil
- Canada
- Mexico
- United States
- California
- Florida
- Illinois
- New York
- Ohio
- Pennsylvania
- Texas
- Asia-Pacific
- Australia
- China
- India
- Indonesia
- Japan
- Malaysia
- Philippines
- Singapore
- South Korea
- Taiwan
- Thailand
- Vietnam
- Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom
- Americas
The report provides a detailed overview of the market, exploring several key areas:
- Market Penetration: A thorough examination of the current market landscape, featuring comprehensive data from leading industry players and analyzing their reach and influence across the market.
- Market Development: The report identifies significant growth opportunities in emerging markets and assesses expansion potential within established segments, providing a roadmap for future development.
- Market Diversification: In-depth coverage of recent product launches, untapped geographic regions, significant industry developments, and strategic investments reshaping the market landscape.
- Competitive Assessment & Intelligence: A detailed analysis of the competitive landscape, covering market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, technological advancements, and innovations in manufacturing by key market players.
- Product Development & Innovation: Insight into groundbreaking technologies, R&D efforts, and product innovations that will drive the market in future.
Additionally, the report addresses key questions to assist stakeholders in making informed decisions:
- What is the current size of the market, and how is it expected to grow?
- Which products, segments, and regions present the most attractive investment opportunities?
- What are the prevailing technology trends and regulatory factors influencing the market?
- How do top vendors rank regarding market share and competitive positioning?
- What revenue sources and strategic opportunities guide vendors' market entry or exit decisions?
Table of Contents
1. Preface
2. Research Methodology
4. Market Overview
5. Market Insights
6. Artificial Intelligence in Agriculture Market, by Offering
7. Artificial Intelligence in Agriculture Market, by Technology
8. Artificial Intelligence in Agriculture Market, by Deployment
9. Artificial Intelligence in Agriculture Market, by Application
10. Americas Artificial Intelligence in Agriculture Market
11. Asia-Pacific Artificial Intelligence in Agriculture Market
12. Europe, Middle East & Africa Artificial Intelligence in Agriculture Market
13. Competitive Landscape
List of Figures
List of Tables
Companies Mentioned
The leading players in the Artificial Intelligence in Agriculture market, which are profiled in this report, include:- Ag Code by Wilbur-Ellis Holdings, Inc.
- AGCO Corporation
- AgEagle Aerial Systems Inc.
- AgNext
- Apro Software
- Bayer AG.
- Cainthus by Ever.Ag
- ClimateAi, inc.
- Corteva Agriscience by Albaugh, LLC
- Cropin Technology Solutions Pvt Ltd.
- CropX Technologies Ltd.
- DeHaat by Green Agrevolution PVT. LTD
- Descartes Labs, Inc. by Antarctica Capital
- FarmBot, Inc.
- Farmers Edge Inc.
- Gamaya Inc.
- Gro Intelligence, Inc.
- Infosys Limited
- Intellias, LLC
- Intello Labs Private Limited
- International Business Machines Corporation
- John Deere Group
- Keenethics.
- Khetibuddy Agritech Private Limited.
- Microsoft Corporation
- PrecisionHawk Inc.
- Raven Industries, Inc.
- Trace Genomics, Inc.
- Trimble Inc.
- Tule Technologies Inc.
- Wipro Limited
Methodology
LOADING...
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 193 |
| Published | October 2024 |
| Forecast Period | 2024 - 2030 |
| Estimated Market Value ( USD | $ 2.73 Billion |
| Forecasted Market Value ( USD | $ 9.29 Billion |
| Compound Annual Growth Rate | 22.4% |
| Regions Covered | Global |
| No. of Companies Mentioned | 31 |
