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Market Snapshot

CAGR:7.58

2023

2032

Source: Market Expertz

Study Period	2019-2032
Base Year	2023
Forcast Year	2023-2032
CAGR	7.58

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Report Overview

AI Agriculture Market Analysis Report 2023-2032

The AI Agriculture Market is poised for substantial growth, with a projected Compound Annual Growth Rate (CAGR) of 20.5% between 2023 and 2032. This growth is attributed to several key factors, including the modernization of agriculture, increased global demand for agricultural products, and a growing emphasis on sustainable farming practices. AI technology in agriculture plays a pivotal role in optimizing farming operations and enhancing overall agricultural productivity.

AI Agriculture Market Overview

Drivers:

One of the primary drivers behind the expansion of the AI Agriculture Market is the ongoing modernization of agriculture. As the global population continues to grow, there is an increasing need for more efficient and productive agricultural practices. AI technologies offer solutions that can help farmers manage their operations more effectively, from precision planting and harvesting to crop monitoring.

Additionally, the rising global demand for agricultural products is pushing farmers to adopt technology and AI-driven solutions that can increase production. AI can analyze data from various sources, including sensors, drones, and satellites, to provide insights into crop health and pest management, improving yields.

Trends:

A significant trend influencing the AI Agriculture Market is the development of innovative AI-driven solutions for precision agriculture. These solutions encompass AI-powered machinery, drones, and sensors that gather real-time data for informed decision-making. Precision agriculture minimizes resource waste and maximizes crop yields.

Another notable trend is the adoption of AI in supply chain management. AI is being used to optimize the logistics and distribution of agricultural products, ensuring that they reach consumers more efficiently.

Restraints:

One of the main challenges in the AI Agriculture Market is the initial cost of adopting AI technology. The investment required for purchasing AI-powered machinery and systems can be a barrier for some farmers, particularly smallholders. However, the long-term benefits in terms of increased productivity and resource efficiency often outweigh the initial costs.

Another restraint is the digital divide in agriculture. Not all farmers have access to the necessary infrastructure and connectivity for AI adoption, which can limit the market's growth in certain regions.

AI Agriculture Market Segmentation By Application

Crop Management is expected to be a prominent growth segment within the AI Agriculture Market. AI technologies can assist in crop monitoring, disease detection, and optimizing irrigation, leading to healthier crops and increased yields.

Livestock Management is another significant application segment. AI can help manage livestock by monitoring their health, feeding, and behavior, ensuring that they are well cared for and productive.

AI Agriculture Market Segmentation By AI Technology

Machine Learning and Deep Learning are projected to experience significant growth during the forecast period. These AI technologies are used for data analysis, predictive modeling, and improving decision-making in agriculture.

Computer Vision is another crucial AI technology within the AI Agriculture Market. Computer vision is employed for tasks such as crop monitoring, pest detection, and autonomous machinery operation.

Regional Overview:

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North America is expected to be a key driver of the global AI Agriculture Market, particularly in the United States and Canada. These countries have been early adopters of AI technology in agriculture, driven by the need to increase productivity and address labor shortages.

Europe is another significant market, with countries like the United Kingdom, Germany, and France leading the way in AI adoption in agriculture. European farmers are increasingly using AI to optimize their operations and reduce environmental impact.

APAC is a rapidly growing market, with countries like China, India, and Japan embracing AI technology in agriculture as they seek to meet the food demands of their large populations.

Latin America and the Middle East & Africa are also witnessing growth in the AI Agriculture Market as they recognize the potential of AI in improving agricultural productivity.

AI Agriculture Market Customer Landscape

The AI Agriculture Market report provides insights into the customer landscape, ranging from large commercial farms to smallholders. It explores adoption rates and preferences based on farm size and geographic location. Understanding these customer dynamics is crucial for AI technology providers to tailor their products and marketing strategies effectively.

Major AI Agriculture Market Companies

Prominent players in the AI Agriculture Market are implementing various strategies to strengthen their market presence. These strategies include strategic collaborations, mergers and acquisitions, the introduction of innovative AI solutions, geographic expansion, and advancements in AI technology.

Sample list of major companies in the market:

AgriTech Solutions
FarmAI
PrecisionCrops
GreenMind
AgriVision

Qualitative and quantitative analyses of these companies provide valuable insights into the competitive landscape, enabling stakeholders to understand market dynamics and assess the strengths and weaknesses of key players.

Segment Overview

The AI Agriculture Market report offers revenue forecasts on a global, regional, and country level. It also includes an analysis of emerging trends and growth opportunities spanning from 2019 to 2032.

Application Outlook (USD Million, 2019 - 2032)

Crop Management
Livestock Management
Others

AI Technology Outlook (USD Million, 2019 - 2032)

Machine Learning and Deep Learning
Computer Vision
Others

Geography Outlook (USD Million, 2019 - 2032)

North America
- United States
- Canada
Europe
- United Kingdom
- Germany
- France
- Rest of Europe
APAC
- China
- Japan
- India
- Rest of APAC
Latin America
- Brazil
- Mexico
- Rest of Latin America
Middle East & Africa
- United Arab Emirates
- South Africa
- Rest of Middle East & Africa

TABLE OF CONTENTS: GLOBAL AI AGRICULTURE MARKET

Chapter 1. MARKET SYNOPSIS

1.1. Market Definition

1.2. Research Scope & Premise

1.3. Methodology

1.4. Market Estimation Technique

Chapter 2. EXECUTIVE SUMMARY

2.1. Summary Snapshot, 2016 – 2027

Chapter 3. INDICATIVE METRICS

3.1. Macro Indicators

Chapter 4. AI AGRICULTURE MARKET SEGMENTATION & IMPACT ANALYSIS

4.1. AI agriculture Segmentation Analysis

4.2. Industrial Outlook

4.3. Price Trend Analysis

4.4. Regulatory Framework

4.5. Porter’s Five Forces Analysis

4.5.1. Power Of Suppliers

4.5.2. Power Of Buyers

4.5.3. Threat Of Substitutes

4.5.4. Threat Of New Entrants

4.5.5. Competitive Rivalry

Chapter 5. AI AGRICULTURE MARKET BY Technology INSIGHTS & TRENDS

5.1. Segment 1 Dynamics & Market Share, 2019 & 2027

5.2. Machine Learning

5.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.3. Computer Vision

5.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.4. Predictive Analytics

5.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 6. AI AGRICULTURE MARKET BY Deployment INSIGHTS & TRENDS

6.1. Segment 2 Dynamics & Market Share, 2019 & 2027

6.2. Cloud

6.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.3. On-Premise

6.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.4. Hybrid

6.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 7. AI AGRICULTURE MARKET REGIONAL OUTLOOK

7.1. AI agriculture Market Share By Region, 2019 & 2027

7.2. NORTH AMERICA

7.2.1. North America AI agriculture Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.2. North America AI agriculture Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.3. North America AI agriculture Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.4. North America AI agriculture Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.5. U.S.

7.2.5.1. U.S. AI agriculture Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.5.2. U.S. AI agriculture Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.5.3. U.S. AI agriculture Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.5.4. U.S. AI agriculture Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.6. CANADA

7.2.6.1. Canada AI agriculture Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.6.2. Canada AI agriculture Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.6.3. Canada AI agriculture Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.6.4. Canada AI agriculture Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3. EUROPE

7.3.1. Europe AI agriculture Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.2. Europe AI agriculture Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.3. Europe AI agriculture Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.4. Europe AI agriculture Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.5. GERMANY

7.3.5.1. Germany AI agriculture Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.5.2. Germany AI agriculture Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.5.3. Germany AI agriculture Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.5.4. Germany AI agriculture Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.6. FRANCE

7.3.6.1. France AI agriculture Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.6.2. France AI agriculture Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.6.3. France AI agriculture Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.6.4. France AI agriculture Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.7. U.K.

7.3.7.1. U.K. AI agriculture Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.7.2. U.K. AI agriculture Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.7.3. U.K. AI agriculture Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.7.4. U.K. AI agriculture Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4. ASIA-PACIFIC

7.4.1. Asia Pacific AI agriculture Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.2. Asia Pacific AI agriculture Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.3. Asia Pacific AI agriculture Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.4. Asia Pacific AI agriculture Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.5. CHINA

7.4.5.1. China AI agriculture Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.5.2. China AI agriculture Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.5.3. China AI agriculture Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.5.4. China AI agriculture Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.6. INDIA

7.4.6.1. India AI agriculture Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.6.2. India AI agriculture Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.6.3. India AI agriculture Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.6.4. India AI agriculture Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.7. JAPAN

7.4.7.1. Japan AI agriculture Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.7.2. Japan AI agriculture Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.7.3. Japan AI agriculture Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.7.4. Japan AI agriculture Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.8. AUSTRALIA

7.4.8.1. Australia AI agriculture Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.8.2. Australia AI agriculture Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.8.3. Australia AI agriculture Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.8.4. Australia AI agriculture Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.5. MIDDLE EAST AND AFRICA (MEA)

7.5.1. Mea AI agriculture Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.5.2. Mea AI agriculture Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.5.3. Mea AI agriculture Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.5.4. Mea AI agriculture Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.6. LATIN AMERICA

7.6.1. Latin America AI agriculture Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.6.2. Latin America AI agriculture Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.6.3. Latin America AI agriculture Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.6.4. Latin America AI agriculture Market Estimates And Forecast By Production Process, 2016 –2027, (USD Million)

7.6.5. Latin America AI agriculture Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

Chapter 8. COMPETITIVE LANDSCAPE

8.1. Market Share By Manufacturers

8.2. Strategic Benchmarking

8.2.1. New Product Launches

8.2.2. Investment & Expansion

8.2.3. Acquisitions

8.2.4. Partnerships, Agreement, Mergers, Joint-Ventures

8.3. Vendor Landscape

8.3.1. North American Suppliers

8.3.2. European Suppliers

8.3.3. Asia-Pacific Suppliers

8.3.4. Rest Of The World Suppliers

Chapter 9. COMPANY PROFILES

9.1. IBM Corporation

9.1.1. Company Overview

9.1.2. Financial Performance

9.1.3. Product Insights

9.1.4. Strategic Initiatives

9.2. Microsoft Corporation

9.2.1. Company Overview

9.2.2. Financial Performance

9.2.3. Product Insights

9.2.4. Strategic Initiatives

9.3. Bayer AG

9.3.1. Company Overview

9.3.2. Financial Performance

9.3.3. Product Insights

9.3.4. Strategic Initiatives

9.4. Google LLC

9.4.1. Company Overview

9.4.2. Financial Performance

9.4.3. Product Insights

9.4.4. Strategic Initiatives

9.5. Deere & Company

9.5.1. Company Overview

9.5.2. Financial Performance

9.5.3. Product Insights

9.5.4. Strategic Initiatives

9.6. A.A.A Taranis Visual Ltd

9.6.1. Company Overview

9.6.2. Financial Performance

9.6.3. Product Insights

9.6.4. Strategic Initiatives

9.7. AgEagle Aerial Systems Ltd

9.7.1. Company Overview

9.7.2. Financial Performance

9.7.3. Product Insights

9.7.4. Strategic Initiatives

9.8. Gamaya SA

9.8.1. Company Overview

9.8.2. Financial Performance

9.8.3. Product Insights

9.8.4. Strategic Initiatives

9.9. AGCO Corporation

9.9.1. Company Overview

9.9.2. Financial Performance

9.9.3. Product Insights

9.9.4. Strategic Initiatives

9.10. Ag Leader Technology

9.10.1. Company Overview

9.10.2. Financial Performance

9.10.3. Product Insights

9.10.4. Strategic Initiatives

RESEARCH METHODOLOGY

A research methodology is a systematic approach for assessing or conducting a market study. Researchers tend to draw on a variety of both qualitative and quantitative study methods, inclusive of investigations, survey, secondary data and market observation.

Such plans can focus on classifying the products offered by leading market players or simply use statistical models to interpret observations or test hypotheses. While some methods aim for a detailed description of the factors behind an observation, others present the context of the current market scenario.

Now let’s take a closer look at the research methods here.

Secondary Research Model

Extensive data is obtained and cumulated on a substantial basis during the inception phase of the research process. The data accumulated is consistently filtered through validation from the in-house database, paid sources as well reputable industry magazines. A robust research study requires an understanding of the overall value chain. Annual reports and financials of industry players are studied thoroughly to have a comprehensive idea of the market taxonomy.

Primary Insights

Post conglomeration of the data obtained through secondary research; a validation process is initiated to verify the numbers or figures. This process is usually performed by having a detailed discussion with the industry experts.

However, we do not restrict our primary interviews only to the industry leaders. Our team covers the entire value chain while verifying the data. A significant number of raw material suppliers, local manufacturers, distributors, and stakeholders are interviewed to make our findings authentic. The current trends which include the drivers, restraints, and opportunities are also derived through the primary research process.

Market Estimation

The market estimation is conducted by analyzing the data collected through both secondary and primary research. This process involves market breakdown, bottom-up and top- down approach.

Moreover, while forecasting the market a comprehensive statistical time series model is designed for each market. Macroeconomic indicators are considered to understand the current trends of the market. Each data point is verified by the process of data triangulation method to arrive at the final market estimates.

Final Presentation

The penultimate process results in a holistic research report. The study equips key industry players to undertake significant strategic decisions through the findings. The report encompasses detailed market information. Graphical representations of the current market trends are also made available in order to make the study highly comprehensible for the reader.

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AI Agriculture Market Analysis By Application Outlook (Crop Management, Livestock Management, Others), By AI Technology Outlook (Machine Learning and Deep Learning, Computer Vision, Others), and By Region Forecast to 2032