Artificial Intelligence in Agriculture Market Report (2020-2028), Business Plan Strategy, New Solutions, Key Segments, Potential Targets And Recommendations

Artificial Intelligence in Agriculture Market,

The Global Artificial Intelligence in Agriculture Market report comprises of vital details of the Artificial Intelligence in Agriculture business sphere that aims to offer the reader a comprehensive understanding of the Artificial Intelligence in Agriculture market and identify optimum growth prospects to gain a competitive edge over other competitors. The extensive analysis covered in the report offers insights into the estimated growth of the market during the forecast timeline. The report estimates the CAGR at which the market is expected to grow throughout the forecast timeline of 2020-2028.

The global Artificial Intelligence (AI) in agriculture market size reached USD 1.70 Billion in 2021 and is expected to register a revenue CAGR of 27.0% during the forecast period. A growing focus on increasing crop productivity through deep learning technology is expected to be a major factor driving the market revenue growth. Increasing implementation of data generation through sensors is also expected to have a positive impact on revenue growth of the global market. Other factors attributing to revenue growth are increasing strain on food supply due to rising global populations and supportive government initiatives to encourage adoption of modern technology for agricultural practices.

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The analysis is done on the basis of the authentic and relevant information obtained from in-depth primary and secondary research. Additionally, the factors expected to drive or restrain the growth of the market are studied extensively in the report.

Competitive Landscape:

The Global Artificial Intelligence in Agriculture Market report offers an elaborate analysis of the different elements of the industry, such as product development and technological advancements, product types, applications, and major expansion strategies undertaken by prominent companies. The assessment has been done based on primary and secondary research with a special focus on technological advancements, prominent industry players and suppliers, and distributors operating in the industry. The report is formulated to assist the readers better understand the overall market and make well-informed decisions.

The major companies Covered in the report are:

Microsoft Corporation, Descartes Labs, Inc., Gamaya Inc., Precision Hawk, Connecterra B.V, Autonomous Tractor Corporation, Taranis, IBM Corporation, Granular Inc., and VineView

The report, additionally, offers a comprehensive SWOT analysis and Porter’s Five Forces analysis to offer a better understanding of the competitive landscape of the industry. It also covers strategies adopted by prominent players such as mergers and acquisitions, collaborations, joint ventures, product launches, and brand promotions, among others. The report aims to offer the readers a holistic understanding of the relevant features of the industry to help them capitalize on future growth prospects.

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The latest research study endows the reader with a comprehensive analysis of the product types of the global Artificial Intelligence in Agriculture market, categorizing the relevant information into the market share, production growth rate, and profit valuation of each product type. The study focuses on the wide-ranging application landscape of the market, segmenting it into the market share, estimated growth rate, and the forecast product demand for each application type.

Segments Covered in this report are:

  • Component Outlook (Revenue, USD Billion; 2019-2030)

    • Hardware
    • Software
  • Technology Outlook (Revenue, USD Billion; 2019-2030)

    • Machine Learning & Deep Learning
    • Computer Vision
    • Predictive Analysis
  • Application Outlook (Revenue, USD Billion; 2019-2030)

    • Precision Farming
    • Drone Analytics
    • Agriculture Robots
    • Others

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Geographical Overview:

The latest report broadly categorizes the global Artificial Intelligence in Agriculture market into several geographical terrains, including North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.

The study is inclusive of essential information relevant to each region in this broad industry segment, along with the key drivers of the regional market growth.

The report further estimates the revenue accumulated by these regions over the forecast period.

Competitive Hierarchy:

The latest research report studies the major market players, their regional presence, industry share, and production facilities.

The report offers significant data pertaining to these market competitors’ company profiles, product types, and application outlook.

Moreover, the pricing models and gross margins of these industry majors have also been mentioned in the report.

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Table of Content

Chapter 1. Methodology & Sources

1.1. Market Definition

1.2. Research Scope

1.3. Methodology

1.4. Research Sources

1.4.1. Primary

1.4.2. Secondary

1.4.3. Paid Sources

1.5. Market Estimation Technique

Chapter 2. Executive Summary

2.1. Summary Snapshot, 2022–2030

Chapter 3. Key Insights

Chapter 4. Artificial Intelligence in Agriculture Market Segmentation & Impact Analysis

4.1. Industrial Outlook

4.1.1. Market indicators analysis

4.1.2. Market drivers’ analysis

4.1.2.1. Rising focus on development of sustainable and eco-friendly products

4.1.2.2. Increasing adoption of water based adhesives in packaging and footwear industries

4.1.2.3. Increasing usage of acrylic dispersion adhesives in the construction industry

4.1.3. Market restrains analysis

4.1.3.1. Low storage capability due to perishability

4.1.3.2. High competition from hot melt adhesives

4.2. Technological Insights

4.3. Regulatory Framework

4.4. Porter’s Five Forces Analysis

4.5. Competitive Metric Space Analysis

4.6. Price Trend Analysis

4.7. Covid-19 Impact Analysis

Continued….

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