New York – “Global AI in Agriculture Market Report” the new research report adds in Data Bridge Market Research’s reports database. This Research Report spread across 329 Page, 53 No of Tables, And 244 No of Figures with summarizing Top companies, COVID-19 impacts and supports with tables and figures.
The rapidly revolutionizing market place demands the best market and business solutions to thrive in the market. This AI in Agriculture report contains a comprehensive data of market definition, classifications, applications, engagements, market drivers and market restraints of this industry all of which is derived from SWOT analysis. Market definition covered in this AI in Agriculture report gives the scope of particular product with respect to the driving factors and restraints in the market. The sources of data and information mentioned in the AI in Agriculture report are very reliable and include websites, annual reports of the companies, journals, and mergers which are checked and validated by the market experts.
The Global AI in Agriculture Market accounted for USD 432.5 million in 2017 and is projected to grow at a CAGR of 22.7% forecast to 2025.
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**Although the COVID-19 pandemic continues to transform the growth of various industries, the immediate impact of the outbreak is varied. While a few industries will register a drop in demand, numerous others will continue to remain unscathed and show promising growth opportunities. Data Bridge Market Research’s in-depth research has all your needs covered as our research reports include all foreseeable market scenarios, including pre- & post-COVID-19 analysis.
These strategies help in the determination and the impact of the COVID-19 on the companies and manufacturers. SWOT analysis is being used for the determination of the various segments of the market. It involves the use of the strengths, weakness, and, threats which are being covered for the market. Moreover, the report also covers the various aspects of the consumers which involve the purchasing patterns, spending patterns, and, geographical patterns. The impact of the pandemic on these aspects has been explained in the report. The AI in Agriculture report also covers and conducts the interviews and analyses the growth of the market for the estimated growth of the market. Moreover, the impact of COVID-19 in the upcoming years has also been covered in the research study.
Major Market Drivers:
- Increasing adoption of new advanced technologies and IMS
- Rising demand for agricultural production
- Government support and initiatives for the adoption of modern agricultural techniques
- Maximizing crop productivity along with the implementation of various techniques
- Increasing use of drones in agricultural farms
Market Restraint:
- High Cost involved during precise field data collection.
Following Top Key Players are profiled with global positioning:
Some of the major players in global AI in agriculture market are IBM, Microsoft Corporation, Descartes Labs, Deere & Company, Granular, aWhere, The Climate Corporation¸ Agribotix LLC, Tule Technologies, Prospera, Mavrx Inc., Cropx, Harvest Croo, Farmbot, Trace Genomics, Spensa Technologies Inc., Resson, Vision Robotics and Autonomous Tractor Corporation among others.
Competitive landscape
**Strategies of key players and product offerings
**Potential and niche segments/regions exhibiting promising growth
**A neutral perspective towards market performance
**Must-have information for market players to sustain and enhance their market footprint
Global AI in Agriculture Market: Competitive Rivalry
Analysts have also discussed the nature of the competition present in the global AI in Agriculture market. Companies have been discussed at great length to ascertain the leading ones and note the emerging ones. The report also mentions the strategic initiatives taken by these companies to get ahead of the game. Analysts look at potential mergers and acquisitions that are likely to define the progress of the market in the coming years.
Why us:
- We provide top drawer/ crucial reports with a very detailed insight report on the AI in Agriculture market.
- Our reports are articulated by some of the very top experts in the markets and are user-friendly to derive maximum productivity.
- In-depth and detailed assessment yet in a very concise and very little time-consuming terminology makes it very easy to understand and hence increasing the efficiency.
- Comprehensive graphs, Activity roadmaps and much more analytical tools such as detailed yet simple and easy to understand charts make this report all the more important to the market players.
- The demand and supply chain analysis that is detailed in the report is best in the business.
- Our report educates you on the current as well as the future challenges of the AI in Agriculture market and helps in crafting unique solutions to maximize your growth potential.
How Research Study of DBMR helps clients in their decision making:
**Creating strategies for new product development
**Supporting & Adjust Investment/business decisions
**Benchmark and judge own competitiveness
**Aiding in the business planning process
**Serving as a credible, independent check on company internal forecasts
**Supporting acquisition strategies
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Market Segmentation:
Global AI in Agriculture Market By Offering (Hardware, Software, Service, AI-As-A-Service), By Technology (Predictive Analytics, Machine Learning, Computer Vision), By Application (Livestock Monitoring, Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics), By Geography (North America, Europe, Asia-Pacific, Europe, South America, Middle East and Africa) Industry Trends and Forecast to 2025
Regional Analysis for Global AI in Agriculture Market:
North America (the United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, and Italy)
Asia-Pacific (China, Japan, Korea, India, and Southeast Asia)
South America (Brazil, Argentina, Colombia, etc)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)
| Historical Years | 2015-2020 |
| Forecast Years | 2020-2027 |
| Market Size 2019 | XX Million |
| Market Size 2024 | XX Million |
| CAGR 2020-2027 | XX % |
| Market representation | Revenue in USD Million & CAGR from 2020 – 2027 |
| Report coverage | Revenue forecast, company share, competitive landscape, growth factors, and trends |
Vital data enclosed in the report:
Regional Competitors clinical analysis
Assessment of the key success factors impacting the growth of the AI in Agriculture market on the global scale
Demand and Supply GAP Analysis
Year-on-Year growth of each market segment and sub-segment
Industry share analysis of the key industry players
Strategic recommendations for the new entrants
Forecasts until 2027 for all the mentioned segments, and leading regions
Key Trends (Drivers, Constraints, Opportunities, Threats, Challenges, and Recommendations)
Strategic recommendations for major business segments based on accurate estimations
Competitive landscape mapping key trends in the regions
Company profiling with strategic initiatives, financial standing, and recent events
Some of the Major Highlights of TOC covers:
- Development Trend of Analysis of AI in Agriculture Market
- Global AI in Agriculture Market Trend Analysis
- Global AI in Agriculture Market Size (Volume and Value) Forecast
- Marketing Channel
- Direct Marketing
- Indirect Marketing
- AI in Agriculture Customers
- Market Dynamics
- Market Trends
- Opportunities
- Market Drivers
- Challenges
- Influence Factors
- Methodology/Research Approach
- Research Programs/Design
- Market Size Estimation
- Market Breakdown and Data Triangulation
- Data Source
The AI in Agriculture market report provides the following information:
**Region-wise, how will different segments behave in terms of opportunities, threats, and growth potential?
**Segments which will contribute notably to growth in Aerospace Fastener market, information on emerging opportunities
**Prominent trends and drivers and how will they contribute to market growth over the forecast period
**Players and products who would command a sizeable share of the market
AI in Agriculture Market Important Factors:
Market Environment: Government Policies, Technological Changes, Market Risks.
Market Drivers: Growing Demand, Reduction in Cost, Market Opportunities and Challenges.
Industry Trends: United States and Other Regions Revenue, Status and Outlook.
Competitive Landscape: By Manufacturers, Development Trends, and Marketing Area
Product Revenue for Top Players: Market Share, Growth Rate, Current Market Situation Analysis.
Market Segment: By Types, By Applications, By Regions/ Geography.
Sales Revenue: Market Share, Growth Rate, Current Market Analysis.
Click Here to Avail FREE TOC @ https://www.databridgemarketresearch.com/toc/?dbmr=global-ai-agriculture-market
Estimation of potential market for new product, identifying consumer’s reaction for particular product, figuring out general market tendencies, knowing the types of customers, recognizing dimension of marketing problem and many other scopes are carefully evaluated through this AI in Agriculture report. This study spans heterogeneous markets in accord with the client’s requirement and scoop out the best possible solutions and detailed information about the market trends. A team of enthusiastic analysts, skilled researchers and experienced forecasters work meticulously to generate such kind of market reports. Key data and information used while preparing this AI in Agriculture report is collected from the consistent sources that range from journals, websites, research papers, case studies, and magazines.
When every business is competing to be the best, market research analysis report is one of the key factors that will help them climb the ladder of success. The AI in Agriculture market report gives the details about market trends, future prospects, market restraints, leading market drivers, several market segments, key developments, key players in the market, and competitor strategies. Market research analysis is one of the best ways that answers business challenges more quickly and also saves your lot of time. The research work, market insights and analysis is carried out thoroughly in this AI in Agriculture report that bring marketplace clearly into the centre of attention.
Market intelligence platform will help you understand:
Identify emerging market trends & dynamics
Market intelligence with quality and accuracy
Benchmark against competitors & industry
Explore competitive strategy & market share
Discover regional market opportunities
Deliverable formats include PDF, PPT, Excel & Online Dashboard
Data Bridge Market Research employs comprehensive and iterative research methodology focused on minimizing deviance in order to provide the most accurate estimates and forecast possible. The company utilizes a combination of bottom-up and top-down approaches for segmenting and estimating quantitative aspects of the market. In Addition, a recurring theme prevalent across all our research reports is data triangulation that looks market from three different perspectives. Critical elements of methodology employed for all our studies include:
Our market estimates and forecasts are derived through simulation models. A unique model is created customized for each study. Gathered information for market dynamics, technology landscape, application development and pricing trends is fed into the model and analyzed simultaneously. These factors are studied on a comparative basis, and their impact over the forecast period is quantified with the help of correlation, regression and time series analysis. Market forecasting is performed via a combination of economic tools, technological analysis, and industry experience and domain expertise.
Qualitative analysis
**Porter’s analysis and PESTEL analysis
**Competitive landscape and component benchmarking
**Industry landscape and trends
**Market dynamics and key issues
**Technology landscape
**Market opportunities
**Policy and regulatory scenario
Quantitative analysis
**Regional market revenue forecasts, by technology
**Regional market revenue forecasts, by application
**Regional market revenue forecasts, by type
**Market revenue estimates and forecast
**Market revenue estimates and forecasts, by technology
**Market revenue estimates and forecasts, by application
**Market revenue estimates and forecasts, by type
What insights readers can gather from the AI in Agriculture Market report?
A critical study of the AI in Agriculture Market on the basis of segment 1, segment 2, segment 3 and segment 4
Learn the behaviour pattern of every AI in Agriculture Market player – product launches, expansions, collaborations and acquisitions in the market currently
Examine and study the progress outlook of the global AI in Agriculture landscape, which includes, revenue, production & consumption and historical & forecast
Understand important drivers, restraints, opportunities, and trends (DROT Analysis)
Important trends, such as carbon footprint, R&D developments, prototype technologies, and globalization
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