United States AI in Agriculture Market Insights Forecasts to 2033

• The United States AI in Agriculture Market Size was valued at USD 349.73 Million in 2023.
• The Market Size is Growing at a CAGR of 12.20% from 2023 to 2033.
• The United States AI in Agriculture Market Size is Expected to Reach USD 1105.93 Million by 2033.

The United States AI in Agriculture Market Size is expected to reach USD 1105.93 Million by 2033, at a CAGR of 12.20% during the forecast period 2023 to 2033.

Market Overview

Artificial intelligence (AI) in agriculture refers to the application of modern technology to increase crop productivity, efficiency, and profitability. AI-powered models and technologies improve precision agricultural processes, forecast weather trends, and make sense of real-time data for better decision-making. Machine learning algorithms can detect potential diseases or pests, while automation technology can do monotonous jobs, hence increasing the overall production of crops. Farmers are increasingly turning to AI technologies for scalable and long-term solutions to labour concerns. This spike in demand drives innovation in AI in the agriculture market, resulting in the creation of enhanced tools and platforms suited to the specific demands of farmers. Government assistance and incentives play an important role in advancing the adoption of AI technologies in agriculture. Recognizing AI's potential to reduce labour shortages and increase productivity, governments provide subsidies, grants, and tax breaks to encourage technological adoption. Furthermore, funding in R&D efforts promotes collaboration among government agencies, academic institutions, and industry partners, resulting in innovation and market expansion in AI in the agriculture sector.

Report Coverage

This research report categorizes the market for United States AI in agriculture market based on various segments and regions and forecasts revenue growth and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the United States AI in agriculture market. Recent market developments and competitive strategies such as expansion, product launch, and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segments of the United States AI in agriculture market.

Driving Factors

The AI in the agriculture market in the United States is rapidly increasing, owing to the country's strong technological infrastructure and large agricultural industry. It includes a wide range of services, software, and hardware items aimed at increasing agricultural productivity, efficiency, and sustainability. Market participants range from digital start-ups pioneering in specialist areas such as disease identification to major corporations offering comprehensive AI-based farm management solutions. Market expansion is fueled by issues such as rising food demand, the need for climate-smart agriculture, and the desire to streamline farming operations. This has resulted in a significant increase in the use of AI technologies such as machine learning, computer vision, and predictive analytics in broad agricultural techniques.

Restraining Factors

One major impediment to the United States artificial intelligence in the agriculture market is the high initial implementation cost. Integrating AI technologies into current agricultural systems necessitates significant investment in AI hardware, software, and services.

Market Segment

• In 2023, the AI-as-a-service segment accounted for the largest revenue share over the forecast period.

Based on the offering, the United States AI in agriculture market is segmented into software, AI-as-a-service. Among these, the AI-as-a-service segment has the largest revenue share over the forecast period. The rise of AI-as-a-service as the establishing solution is outpacing traditional hardware and software alternatives. This move is primarily motivated by the exceptional benefits provided by AI-as-a-service models, such as unrivalled scalability, flexibility, and cost-effectiveness. One of the primary benefits of AI-as-a-service is that it allows even small-scale farmers to harness the power of AI. Previously, hefty upfront expenditures were a key barrier to these farmers adopting AI technologies. However, with AI-as-a-service, they may now obtain access to advanced capabilities without the need for significant upfront investments.

• In 2023, the precision farming segment accounted for the largest revenue share over the forecast period.

On the basis of application, the United States AI in agriculture market is segmented into drone analytics, and precision farming. Among these, the precision farming segment has the largest revenue share over the forecast period. The rapid usage of AI technologies for precision farming applications. Precision farming and automation in food production are major goals for food growers, and AI is driving advancements.

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the United States AI in agriculture market along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

List of Key Companies

• International Business Machines Corporation
• Granular, Inc.
• Microsoft
• Deere & Company
• Awhere Inc.
• Climate LLC.
• Agribotix, LLC
• Descartes Labs Inc.
• Valmont Industries, Inc.
• Others

Key Target Audience

• Market Players
• Investors
• End-users
• Government Authorities 
• Consulting and Research Firm
• Venture capitalists
• Value-Added Resellers (VARs)

Market Segment

This study forecasts revenue at regional, and country levels from 2022 to 2033. Spherical Insights has segmented the United States AI in agriculture market based on the below-mentioned segments:

United States AI in Agriculture Market, By Offering

• Software
• AI-as-a-Service

United States AI in Agriculture Market, By Application

• Drone Analytics
• Precision Farming