Artificial Intelligence in Agriculture Market Growth Factors | IBM, Microsoft, Numenta

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The most recent report on the HTF MI study on the global artificial intelligence in agriculture market assesses the market’s size, trend, and projection through 2029. A valuable resource document for managers, analysts, industry experts, and other key stakeholders, the Artificial Intelligence in Agriculture market study provides extensive research data and proofs to help understand market trends, growth drivers, opportunities, upcoming challenges, and competitors.

Among the major players in this report are: IBM (USA), Deere & Company (USA), Intel (USA), Google (USA), Microsoft (USA), NVIDIA Corporation (USA), Sentient Technologies (USA), Numenta Inc. (USA), Agribotix (USA), and The Climate Corporation (USA), a Monsanto subsidiary.

The global artificial intelligence in agriculture market is expected to generate USD 5.9 billion in revenue by 2029, growing at a compound annual growth rate of 23.05% between 2023 and 2029, from a valued USD 1.7 billion in 2023, according to HTF Market Intelligence.

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Definition:

The use of sophisticated computer methods, machine learning algorithms, and data analytics to maximize many facets of farming and agricultural operations is known as artificial intelligence (AI) in agriculture. Improving animal management, crop cultivation, and overall agricultural operations in terms of efficiency, productivity, and sustainability is the aim.

Utilizing computer systems that can analyze and interpret enormous amounts of data, including weather patterns, soil conditions, crop health, and historical yield statistics, is what artificial intelligence (AI) technologies in agriculture are all about.

Trends in the Market:

The use of precision agriculture is still very popular. Artificial intelligence (AI) technology have been applied to improve resource management precision, including efficient use of pesticides, fertilizers, and water. This movement attempted to make farming methods more sustainable and efficient.

Market Motivators:

One major driving in agriculture is the requirement for precision in order to improve yields and optimize resource use. AI helps farmers make accurate decisions about irrigation, fertilization, and pest control by enabling them to examine data at a high resolution.

Market Possibilities:

By evaluating enormous volumes of data on crop health, weather patterns, and soil conditions, artificial intelligence (AI) makes precision farming possible. This makes it possible for farmers to use resources as efficiently as possible, which raises crop yields and productivity.

The intended audience

New Participants/Partners

Growers

Robotics and automation

Organizational logistics

Strategic business planners and analysts

Venture and Investor

Governmental Research Establishments

Independent Research Firm

Final Users

Others

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Below is a breakdown of the market data and market segments for artificial intelligence in agriculture globally:

The global market for artificial intelligence in agriculture is broken down by geography (North America, South America, Europe, Asia Pacific, MEA), by application (predictive analytics, machine learning, and precision farming), by technology (machine learning, computer vision, and cloud computing), and by deployment mode (cloud, on-premises, hybrid).

The report, “Global Artificial Intelligence in Agriculture Market,” provides a comprehensive overview of the industry’s growth patterns and current and future trends. It also provides business strategies to assist stakeholders in making informed decisions that could secure the profit trajectory for the forecast years.

Geographically, a thorough examination of the following regions’ revenue, market share, consumption, and growth rate

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Goals for the Report

Key points from the Table of Contents:

Market Study Coverage on Artificial Intelligence in Agriculture

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Important queries addressed

How viable is artificial intelligence as a long-term investment in the agriculture market?

What are the variables that will likely drive the demand for AI in agriculture in the near future?

What is the impact analysis of different factors on the growth of the global market for artificial intelligence in agriculture?

What are the current and level of success of the regional market trends?

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