The research and analysis conducted in AI in Agriculture Market Report helps clients to predict investment in an emerging market, expansion of market share or success of a new product with the help of global market research analysis. This report has been designed in such a way that it provides very evident understanding of the business environment and AI in Agriculture industry. Nevertheless, this global market research report unravels many business problems very quickly and easily. Due to high demand and the value of market research for the success of different sectors, AI in Agriculture Market report is provided that covers many work areas.
AI in agriculture market is expected to grow at a CAGR of 28.05% in the forecast period of 2020 to 2027. Data Bridge Market Research report on AI in agriculture market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the market’s growth.
In agriculture, Artificial Intelligence has numerous applications, ranging from rural automatons, facial recognition, computerised water system systems, and driverless tractors. These applications are performed in relation to an alternative kind of AI-dependent sensors, GPS systems, radars, and other cutting edge contraptions.
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Increasing adoption of new advanced technologies and IMS, increasing demand for agricultural production and government initiatives for adopting modern agricultural techniques are the factors driving the growth of the AI in agriculture market. Increasing usage of drones in agricultural farms acts as an opportunity. High cost imposed on precise field data collection is restraining the AI in agriculture market. Lack of standardization is one of the challenges faced by the AI in agriculture market.
This AI in agriculture market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on Data Bridge Market Research AI in agriculture market contact us for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global AI in Agriculture Market Scope and Market Size
AI in agriculture market is segmented on the basis of offering, technology and application. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
- On the basis of offering, the AI in agriculture market is segmented into hardware, software, service, AI-As-A-Service. Hardware is sub segmented into network, storage device and processor. Software is sub segmented into AI Platform and AI Solution. Service is sub segmented into support and maintenance and deployment and integration.
- On the basis of technology, the AI in agriculture market is segmented into predictive analytics, machine learning and computer vision.
- On the basis of application, the AI in agriculture market is segmented into livestock monitoring, precision farming, agriculture robots, livestock monitoring, drone analytics and others. Precision farming is sub segmented into yield monitoring, crop scouting, weather tracking and forecasting, field mapping and irrigation management. Others are sub segmented into smart greenhouse applications, fish farming application and soil management. Soil Management is further sub segmented into nutrient monitoring and moisture monitoring.
AI in Agriculture Market Country Level Analysis
AI in agriculture market is analysed and market size, volume information is provided by country, offering, technology and application as referenced above.
The countries covered in the AI in agriculture market report are the U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).
It is estimated that Europe accounts for the highest demand growth since its farmers control nearly half of the land area for agriculture and it makes Europe’s dominant industry. The trend in observing and reporting utensils for indoor and outdoor farms, and providing a simulation of the farmers’ intact production using computer vision and AI, is growing the agricultural AI sector.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter’s five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
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Competitive Landscape and AI in Agriculture Market Share Analysis
AI in agriculture market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to AI in agriculture market.
The major players covered in the AI in agriculture market report are IBM Corporation, Microsoft, 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 other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
Key players in the market, major collaborations, merger and acquisitions along with trending innovation and business policies are reviewed in the all inclusive AI in Agriculture report. This report aims to examine the market with respect to general market conditions, market improvement, market scenarios, development, cost and profit of the specified market regions, position and comparative pricing between major players. It is a professional and a detailed report focusing on primary and secondary drivers, market share, market size, sales volume, leading segments and geographical analysis. Global AI in Agriculture market report contains comprehensive and thorough insights which are based on business intelligence.
Major Highlights of AI in Agriculture market in Covid-19 pandemic covered in report:
The report provides impact of COVID-19 on AI in Agriculture market along with its impact on overall industry and economy of world. Further, it adds changes in consumer buying behavior as it impacts majorly on market growth and sales. Distributors and traders on marketing strategy analysis focusing on region wise needs in covid-19 pandemic is also added in the AI in Agriculture market report. The last segment of COVID-19 impact chapter include recovery and major changes opted by major players involved in AI in Agriculture market.
Reasons to Purchase this Report:
- Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
- Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
- Market value USD Million and volume Units Million data for each segment and sub-segment
- Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
- Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
Table of Content:
PART 01: EXECUTIVE SUMMARY
PART 02: SCOPE OF THE REPORT
PART 03: RESEARCH METHODOLOGY
PART 04: INTRODUCTION
PART 05: MARKET LANDSCAPE
PART 06: MARKET SIZING
PART 07: FIVE FORCES ANALYSIS
PART 08: MARKET SEGMENTATION BY PRODUCT
PART 09: MARKET SEGMENTATION BY DISTRIBUTION CHANNEL
PART 10: CUSTOMER LANDSCAPE
PART 11: MARKET SEGMENTATION BY END-USER
PART 12: REGIONAL LANDSCAPE
PART 13: DECISION FRAMEWORK
PART 14: DRIVERS AND CHALLENGES
PART 15: MARKET TRENDS
PART 16: COMPETITIVE LANDSCAPE
PART 17: COMPANY PROFILES
PART 18: APPENDIX
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