The global Artificial Intelligence in Agriculture market report includes vital details about the Artificial Intelligence in Agriculture business sphere which aims to offer the reader a comprehensive understanding of the Artificial Intelligence in Agriculture market agriculture and identify optimal growth prospects to gain competitive advantage over other competitors. The in-depth analysis covered in the report offers an insight into the estimated market growth over the forecast period. The report estimates the CAGR at which the market is expected to grow throughout the forecast period 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. The growing focus on increasing crop productivity through deep learning technology is expected to be a major driver of market revenue growth. The increase in the implementation of data generation through sensors is also expected to have a positive impact on the revenue growth of the global market. Other factors attributing to the growth in incomes are increasing pressure on food supply due to increasing world population and supportive government initiatives to encourage the adoption of modern technologies for farming practices.
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The analysis is carried out on the basis of the authentic and relevant information obtained from extensive primary and secondary research. Moreover, the factors believed to be driving or restraining the growth of the market are studied in detail in the report.
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 key marketing strategies. expansion undertaken by leading companies. The assessment was made based on primary and secondary research with a particular focus on technological advancements, major industry players and suppliers, and distributors operating in the industry. The report is formulated to help readers better understand the overall market and make informed decisions.
The major companies covered in the report are:
Microsoft Corporation, Descartes Labs, Inc., Gamaya Inc., Precision Hawk, Connecterra BV, Autonomous Tractor Corporation, Taranis, IBM Corporation, Granular Inc. and VineView
The report further offers comprehensive SWOT analysis and Porter’s Five Forces analysis to offer a better understanding of the competitive landscape of the industry. It also covers the strategies adopted by prominent players such as mergers and acquisitions, collaborations, joint ventures, product launches and brand promotions, among others. The report aims to provide readers with a comprehensive understanding of relevant industry characteristics to help them capitalize on future growth prospects.
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The latest research study offers the reader a comprehensive analysis of the Global Artificial Intelligence in Agriculture market product types, classifying relevant information into market share, production growth rate, and profit valuation of each. type of product. The study focuses on the broad application landscape of the market, segmenting it into market share, estimated growth rate, and product demand forecast for each type of application.
The segments covered in this report are:
Components Outlook (Revenue, USD Billion; 2019-2030)
Technology Outlook (Revenue, USD Billion; 2019-2030)
- Machine learning and deep learning
- computer vision
- Predictive analysis
Application Outlook (Revenue, USD Billion; 2019-2030)
- Precision farming
- Drone analysis
- Agricultural robots
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The latest report broadly categorizes the global Artificial Intelligence in Agriculture market into several geographies including North America, Europe, Asia-Pacific, Latin America, Middle East, and South America. ‘Africa.
The study includes essential information relevant to each region of this large industry segment, along with key drivers for regional market growth.
The report further estimates the revenue accrued by these regions over the forecast period.
The latest research report studies the major market players, their regional presence, industry share and production facilities.
The report offers significant data regarding the company profiles, product types, and application outlook of these market competitors.
Moreover, the pricing models and gross margins of these industry majors have also been mentioned in the report.
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Chapter 1. Methodology and sources
1.1. Market definition
1.2. Search scope
1.4. Research Sources
1.4.3. Paid sources
1.5. Market valuation technique
Chapter 2. Executive Summary
2.1. Summary overview, 2022-2030
Chapter 3. Key Information
Chapter 4. Artificial Intelligence in Agriculture Market Segmentation and Impact Analysis
4.1. Industry outlook
4.1.1. Analysis of market indicators
4.1.2. Market Driver Analysis
184.108.40.206. Increased focus on the development of sustainable and environmentally friendly products
220.127.116.11. Growing adoption of water-based adhesives in the packaging and footwear industries
18.104.22.168. Increase in the use of acrylic dispersion adhesives in the construction industry
4.1.3. Analysis of market constraints
22.214.171.124. Low storage capacity due to perishability
126.96.36.199. Strong competition from hot melt adhesives
4.2. Technology Previews
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
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