Press release
Artificial Intelligence (AI) in Agriculture Market Worth USD 7.89 Bn by 2030 | Microsoft, IBM, Granular, Inc.
Global Artificial Intelligence (AI) in Agriculture Market, 2023 - 2030
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What is the anticipated market size in 2030, along with the major drivers, restraints, and opportunities?
According to the in-depth market study, the global Artificial Intelligence (AI) in Agriculture market is anticipated to reach a value of USD 7,887.6 Million by 2030, expanding at a CAGR of 22.7% between 2023 and 2030. The market is primarily driven by the increasing demand for precision agriculture solutions to optimize farm productivity, minimize resource wastage, and ensure sustainable farming practices. AI technologies such as machine learning, computer vision, and predictive analytics offer advanced capabilities in crop monitoring, pest detection, yield forecasting, and farm management. Opportunities in this market include the integration of AI with IoT devices, the development of AI-powered autonomous farming equipment, and the adoption of AI-driven decision support systems for agricultural operations. However, challenges such as data privacy concerns, regulatory complexities, and the digital divide in rural areas may hinder market growth.
How does AI impact the global Artificial Intelligence (AI) in Agriculture market?
AI impacts the global Artificial Intelligence (AI) in Agriculture market by revolutionizing traditional farming practices, enabling data-driven decision-making, and optimizing agricultural operations for increased efficiency and sustainability. AI-powered solutions analyze vast amounts of agricultural data collected from sensors, drones, satellites, and other IoT devices to provide actionable insights for farmers. Machine learning algorithms predict crop yields, identify crop diseases, and optimize irrigation schedules, leading to improved crop quality and higher yields. Computer vision technology aids in weed detection, plant health monitoring, and automated harvesting, reducing labor costs and enhancing farm productivity. Predictive analytics models enable proactive risk management, helping farmers mitigate climate-related challenges and market uncertainties. Overall, AI integration transforms agriculture into a data-driven, precision-based industry, addressing the evolving needs of modern farming.
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Scope of the Report:
► Executive Summary
► Demand and Supply-side Trends
► Market Drivers, Restraints, Opportunities, and Challenges
► Value Chain Analysis
► Porter's Five Forces Analysis
► Industry SWOT Analysis
► Technological Advancements in AI for Agriculture
► Global Market Size and Forecast
► Regional Market Size and Forecast (Cross-country Analysis)
► Competition Landscape
► Company Profiles
Artificial Intelligence (AI) in Agriculture Market Size and Forecast:
The report will comprehensively detail the AI in Agriculture market size and forecast (2023-2030), presenting key metrics for strategic insights. We will analyze market revenue, quantifying total income from AI in Agriculture solutions, and provide insights into adoption rates across different agricultural sectors. The report will delineate market share, highlighting competitive landscapes. Year-on-Year growth analysis will track annual percentage changes, offering trend insights. Additionally, the Compound Annual Growth Rate (CAGR) will be presented, providing a smoothed growth rate for a more consistent assessment of the market's expansion over the forecast period.
Which region holds the largest market share, and where does the major opportunity lie in the future?
North America holds the largest market share in the global Artificial Intelligence (AI) in Agriculture market, driven by factors such as the presence of key market players, extensive adoption of advanced agricultural technologies, and government initiatives promoting digital agriculture. The major opportunity in the future lies in the Asia-Pacific region, particularly in countries like China, India, and Australia, owing to the increasing adoption of precision farming practices, growing investments in agricultural research and development, and rising awareness about sustainable farming techniques. Other regions such as Europe, Latin America, and Africa also present significant opportunities for market growth, fueled by the modernization of agricultural practices and the adoption of AI-driven smart farming solutions.
Competition Landscape
The global Artificial Intelligence (AI) in Agriculture market is highly competitive, characterized by the presence of major technology companies, agricultural equipment manufacturers, and specialized AI solution providers. Key competitors include:
>> Microsoft Corporation
>> IBM Corporation.
>> Granular Inc.
>> Deere & Company
>> aWhere Inc.
>> The Climate Corporation
>> Farmers Edge Inc.
>> Prospera Technologies Ltd.
>> Gamaya SA
>> Amazon Web Services
>> Oracle Corporation
>> Google LLC
>> Corteva, Inc.
These players are actively involved in developing AI-powered agricultural solutions, forming strategic partnerships with agricultural organizations, and expanding their product portfolios to gain a competitive edge in the market.
Comprehensive Market Segmentation:
∆ By Component (Hardware, Software, and Services)
∆ By Technology (Machine Learning, Computer Vision, Predictive Analytics)
∆ By Application (Livestock Monitoring, Precision Farming, Drone Analytics, Labor Management, Agriculture Robots, Weather Tracking, and Others)
Market Segmentation by Geography including:
∆ North America: U.S., Canada, and Mexico
∆ Europe: Germany, France, U.K., Italy, Spain, and Rest of Europe
∆ Asia Pacific: China, India, Japan, South Korea, Southeast Asia, and Rest of Asia Pacific
∆ South America: Brazil, Argentina, and Rest of Latin America
∆ Middle East & Africa: GCC Countries, South Africa, and Rest of Middle East & Africa
Frequently Asked Questions (FAQs):
► What is the current market scenario?
► What was the historical demand scenario, and forecast outlook from 2023 to 2030?
► What are the key market dynamics influencing growth in the Global Artificial Intelligence (AI) in Agriculture Market?
► Who are the prominent players in the Global Artificial Intelligence (AI) in Agriculture Market?
► What is the consumer perspective in the Global Artificial Intelligence (AI) in Agriculture Market?
► What are the key demand-side and supply-side trends in the Global Artificial Intelligence (AI) in Agriculture Market?
► What are the largest and the fastest-growing geographies?
► Which segment dominated, and which segment is expected to grow fastest?
► What was the COVID-19 impact on the Global Artificial Intelligence (AI) in Agriculture Market?
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Congruence Market Insights is a leading market research firm dedicated to providing in-depth analysis and strategic solutions for businesses across diverse industries. With a focus on delivering actionable insights, we offer comprehensive market intelligence, trend analysis, and forecasting to empower informed decision-making. We have built a reputation for delivering practical insights and genuine reports across diverse sectors such as agriculture, technology, healthcare, covering an extensive array of both primary and niche sub-domains. Our expertise lies in uncovering market trends, consumer behavior, and competitive landscapes, enabling our clients to stay ahead in an ever-evolving business landscape.
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