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Computer Vision Technology for Agriculture Market Report Coverage

Computer Vision Technology for Agriculture Market 

Base Year

2022

Market Size in 2023

$432.0 Million

Forecast Period

2023-2033

Value Projection and Estimation by 2033

$2,037.5 Million

CAGR During Forecast Period

16.78%

Number of Pages

151
Number of Tables 56 Number of Figures

81

 

Key Market Players and Competition Synopsis

The companies that are profiled have been selected based on inputs gathered from primary experts and analyzing company coverage, product portfolio, and market penetration.

Some of the prominent companies in this market are:

•    Climate LLC
•    Granular Inc.
•    IBM Corporation
•    Ceres Imaging
•    Deere & Company
•    Prospera Technologies
•    AgEagle Aerial Systems Inc (MicaSense)
•    Taranis
•    PrecisionHawk, Inc.
•    Gamaya
•    Plantix
•    DJI
•    Iteris, Inc.
•    CropIn Technology Solutions
•    HIPHEN (SlantRange, Inc.)

Companies that are not a part of the aforementioned pool have been well represented across different sections of the report (wherever applicable).

How can this report add value to an organization?

Product/Innovation Strategy: The product segment helps the reader understand the different applications of computer vision technology applications (i.e., biotic stress monitoring, harvest dynamic monitoring, autonomous equipment control, and abiotic stress monitoring) and products (i.e., data processing and analytics and operational integration and automation). The market is poised for significant expansion with ongoing technological advancements, increased investments, and growing awareness of computer vision technology. Therefore, the computer vision technology business is a high-investment and high-revenue generating model.

Growth/Marketing Strategy: The computer vision technology market for agriculture has been growing at a rapid pace. The market offers enormous opportunities for existing and emerging market players. Some of the strategies covered in this segment are mergers and acquisitions, product launches, partnerships and collaborations, business expansions, and investments. The strategies preferred by companies to maintain and strengthen their market position primarily include partnerships and collaborations.

Competitive Strategy: The key players in the computer vision technology market for agriculture analyzed and profiled in the study include computer vision technology manufacturers that produce computer vision technology. Additionally, a comprehensive competitive landscape such as partnerships, agreements, and collaborations are expected to aid the reader in understanding the untapped revenue pockets in the market.

Research Methodology

Factors for Data Prediction and Modeling

•    The base currency considered for the market analysis is US$. Currencies other than the US$ have been converted to the US$ for all statistical calculations, considering the average conversion rate for that particular year.
•    The currency conversion rate has been taken from the historical exchange rate of the Oanda website. 
•    Nearly all the recent developments from January 2020 to January 2024 have been considered in this research study.
•    The information rendered in the report is a result of in-depth primary interviews, surveys, and secondary analysis.
•    Where relevant information was not available, proxy indicators and extrapolation were employed.
•    Any economic downturn in the future has not been taken into consideration for the market estimation and forecast.
•    Technologies currently used are expected to persist through the forecast with no major breakthroughs in technology.

Market Estimation and Forecast

This research study involves the usage of extensive secondary sources, such as certified publications, articles from recognized authors, white papers, annual reports of companies, directories, and major databases to collect useful and effective information for an extensive, technical, market-oriented, and commercial study of the global computer vision technology market for agriculture.

The process of market engineering involves the calculation of the market statistics, market size estimation, market forecast, market crackdown, and data triangulation (the methodology for such quantitative data processes is explained in further sections). The primary research study has been undertaken to gather information and validate the market numbers for segmentation types and industry trends of the key players in the market.

Primary Research

The primary sources involve industry experts from the computer vision technology market for agriculture and various stakeholders in the ecosystem. Respondents such as CEOs, vice presidents, marketing directors, and technology and innovation directors have been interviewed to obtain and verify both qualitative and quantitative aspects of this research study.

The key data points taken from primary sources Include:

•    validation and triangulation of all the numbers and graphs
•    validation of reports segmentation and key qualitative findings
•    understanding the competitive landscape
•    validation of the numbers of various markets for market type
•    percentage split of individual markets for geographical analysis

Secondary Research

This research study involves the usage of extensive secondary research, directories, company websites, and annual reports. It also makes use of databases, such as Hoovers, Bloomberg, Businessweek, and Factiva, to collect useful and effective information for an extensive, technical, market-oriented, and commercial study of the global market. In addition to the aforementioned data sources, the study has been undertaken with the help of other data sources and websites, such as GFI and Delft University of Technology.

Secondary research was done in order to obtain crucial information about the industry’s value chain, revenue models, the market’s monetary chain, the total pool of key players, and the current and potential use cases and applications.

The key data points taken from secondary research include:

•    segmentations and percentage shares
•    data for market value
•    key industry trends of the top players of the market
•    qualitative insights into various aspects of the market, key trends, and emerging areas of innovation
•    quantitative data for mathematical and statistical calculations

 

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Computer Vision Technology Market for Agriculture

A Global and Regional Analysis, 2023-2033

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Some Faq's

Frequently Asked Questions

Computer vision technology involves machines interpreting and understanding visual information from the world. It enables computers to analyze, process, and make decisions based on images or video data. Applications range from facial recognition and object detection to medical image analysis and autonomous vehicles. Computer vision plays a crucial role in advancing automation and artificial intelligence and improving efficiency in various industries.

Computer technology in agriculture facilitates precision farming through data analysis, optimizing resource usage for improved crop yield and resource efficiency. It also enables real-time monitoring, automation, and smart decision-making, enhancing overall productivity in the agricultural sector.

Computer Vision in agriculture analyzes visual data from images or videos to assess crop health. It identifies signs of diseases, nutrient deficiencies, or pest infestations through image recognition, allowing farmers to intervene promptly and optimize crop management practices for better yields.

The key business opportunities in the computer vision technology market for agriculture are fostering digital agriculture through global government initiatives, navigating challenges, and unlocking sustainable solutions for global food security.

The computer vision technology market for agriculture is poised to grow over time, compelling companies to come up with collaborative strategies to sustain themselves in the intensely competitive market. Companies with an identical product portfolio with a need for additional resources often partner and come together for joint venture programs, which help the companies gain access to one another’s resources and facilitate them to achieve their objectives faster.

A new entrant can focus on partnering with existing computer vision technology producers. Also, startups can focus on funding, launching new innovative products, and expanding their sales and distribution networks.

The following are some of the USPs of this report:

•    A dedicated section focusing on the trends adopted by the key players operating in the computer vision technology market for agriculture
•    Competitive landscape of the companies operating in the ecosystem offering a holistic view of the computer vision technology market for the agriculture landscape
•    Qualitative and quantitative analysis of the computer vision technology market for agriculture at the region and country level and granularity by application and product segments
•    Supply chain and value chain analysis

Technology companies and developers, government agencies and policymakers, research and academic institutions, research and development institutes, and technology integrators can buy this report.