Netherlands AI in Agriculture Market is projected to grow at a robust CAGR during 2022-2027 owing to growing technological advancements, the growing agriculture sector, and the growing adoption of AI technology. The country is the number one tomato producer in the world and more than half of the country's land area is used for agriculture which drives the AI in agriculture market in Netherlands. Based on technology, the market has been classified into machine learning, computer vision, and predictive analytics. In 2021, Machine learning holds the largest market size due to the rising adoption of AI technology for various applications like drones, agriculture robots, precision farming, etc. Moreover, the increasing adoption of deep learning and computer vision technologies for agricultural applications drives the AI in Agriculture Market in Netherlands.
Some of the leading players in the Netherlands AI in Agriculture market
- IBM
- Granular
- Microsoft
- Deere & Company
- Agribotix
- Descartes Labs
- Prospera
- Mavrx
- Awhere
- The Climate Corporation, etc.
The objective of the Study:
- To analyze and forecast the market size of AI in Agriculture, in terms of value.
- To classify and forecast Netherlands AI in Agriculture based on technology, offering, application, and regional distribution.
- To identify drivers and challenges for Netherlands AI in Agriculture.
- To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in Netherlands AI in Agriculture.
- To conduct the pricing analysis for AI in Agriculture.
- To identify and analyze the profile of leading players involved in the manufacturing of Netherlands AI in Agriculture.
TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across the Netherlands. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents also enquired about their competitors. Through this technique, TechSci Research could include the service providers which could not be identified due to the limitations of secondary research. TechSci Research analyzed the service offerings, distribution channels, and presence of all major collaboration service providers across the Netherlands.
The increasing population and growing demand for agricultural production coupled with the adoption of advanced technology systems are driving the growth of AI in Agriculture Market. Also, government initiatives for the adoption of modern techniques in agricultural practices are boosting the growth of AI in Agriculture Market. The Global AI in Agriculture Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.
TechSci Research calculated the market size of Netherlands AI in Agriculture using a bottom-up approach, where data for various end-user industries and its application across various product types were recorded and forecasted for the future years. TechSci Research sourced these values from industry experts and company representatives and externally validated them by analyzing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as the company website, news articles, press releases, company annual reports, investor presentations, and financial reports were also used by TechSci Research.
Key Target Audience:
- Artificial intelligence software and solution providers
- Artificial intelligence technology providers
- Electronic hardware equipment manufacturers
- AI system providers
- Research organizations and consulting companies.
- Research Institutes
- Industry associations
- Market research and consulting firm.
The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as collaboration service providers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.
Attribute
Details
Base Year
2021
Historical Data
2017 – 2020
Estimated Year
2022
Forecast Period
2023 – 2027
Quantitative Units
Revenue in USD Million and CAGR for 2017-2021 and 2022E-2027F
Report Coverage
Revenue forecast, company share, competitive landscape, growth factors, and trends
Segments Covered
· Technology
· Offering
· Application
Regional scope
North Netherlands, South Netherlands, East Netherlands, West Netherlands
Key companies profiled
IBM, Granular, Microsoft, Deere & Company, Agribotix, Descartes Labs, Prospera, Mavrx, Awhere, and The Climate Corporation.
Customization scope
10% free report customization with purchase. Addition or alteration to country, regional & segment scope.
Pricing and purchase options
Avail customized purchase options to meet your exact research needs. Explore purchase options
Delivery Format
PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)
Report Scope:
In this report, Netherlands AI in Agriculture market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
- Market, By Technology:
- Machine Learning
- Predictive Analytics
- Computer Vision
- Market, By Offering:
- Hardware
- Software
- AI-As-A-Service
- Market, By Application:
- Precision Farming
- Livestock Monitoring
- Agriculture Robots
- Drone
- Others
- Market, by Region:
- North Netherlands
- South Netherlands
- East Netherlands
- West Netherlands
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.Access insightful study with over 100+ pages, list of tables & figures, profiling 10+ companies.
Ask for Free Sample Copy Of Connected care market @https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-ai-agriculture-marketMarket Drivers and Restraints:On the basis of offering, the AI in agriculture market is segmented into hardware, software, service, AI-As-A-Service.
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.
November 02, 2018: In 2017, the global AI in Agriculture market size was million US$ and it is expected to reach million US$ by the end of 2025, with a CAGR of during 2018-2025.This report focuses on the global AI in Agriculture status, future forecast, growth opportunity, key market and key players.
The study objectives are to present the AI in Agriculture development in United States, Europe and China.The key players covered in this studyIBMDeere & CompanyMicrosoftDownload sample Copy of This Report at: https://www.radiantinsights.com/research/global-ai-in-agriculture-market-size-status-and-forecast-2018-2025/request-sample AgribotixThe Climate Corporation (Subsidiary of Monsanto)GranularDescartes LabsProsperaMavrxAwhereGamayaEc2cePrecision HawkComplete Report Available @ https://www.radiantinsights.com/research/global-ai-in-agriculture-market-size-status-and-forecast-2018-2025 Skysquirrel TechnologiesCainthusTule TechnologiesRessonFarmbotConnecterraVision RoboticsHarvest CrooAutonomous Tractor CorporationTrace GenomicsVine RangersCropxSpensa TechnologiesMarket segment by Type, the product can be split intoHardwareSoftwareAI-As-A-ServiceMarket segment by Application, split intoPrecision FarmingLivestock MonitoringDrone AnalyticsAgriculture RobotsOther ApplicationsMarket segment by Regions/Countries, this report coversUnited StatesEuropeChinaJapanSoutheast AsiaIndiaCentral & South AmericaThe study objectives of this report are:To analyze global AI in Agriculture status, future forecast, growth opportunity, key market and key players.To present the AI in Agriculture development in United States, Europe and China.To strategically profile the key players and comprehensively analyze their development plan and strategies.To define, describe and forecast the market by product type, market and key regions.In this study, the years considered to estimate the market size of AI in Agriculture are as follows:History Year: 2013-2017Base Year: 2017Estimated Year: 2018Forecast Year 2018 to 2025For the data information by region, company, type and application, 2017 is considered as the base year.
Whenever data information was unavailable for the base year, the prior year has been considered.About Radiant InsightsRadiant Insights is a platform for companies looking to meet their market research and business intelligence requirements.
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These applications are performed in relation to an alternative kind of AI-dependent sensors, GPS systems, radars, and other cutting-edge contraptions.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.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.Get a Sample Copy of Global AI in agriculture market Report to Understand the Complete Insights @https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-ai-agriculture-marketMarket Drivers and Restraints:On the basis of offering, the AI in agriculture market is segmented into hardware, software, service, AI-As-A-Service.
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.
