Global Artificial Intelligence in Agriculture
Market Report
2024
Artificial Intelligence in Agriculture Market Report 2024 (Global Edition)
Artificial Intelligence in Agriculture market size is USD 1.9 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 20.56% from 2024 to 2031.
The base year for the calculation is 2023 and 2019 to 2023 will be historical period. The year 2024 will be estimated one while the forecasted data will be from year 2025 to 2031. When we deliver the report that time we updated report data till the purchase date.
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Global Artificial Intelligence in Agriculture Market Report 2024 Market Size Split by Technology (Machine Learning, Computer Vision, Predictive Analytics), by Offering (Hardware, Software, AI-as-a-Se...
According to Cognitive Market Research, the global Artificial Intelligence in Agriculture market size is USD 1.9 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 20.56% from 2024 to 2031.
| Base Year | 2023 |
| Historical Data Time Period | 2019-2023 |
| Forecast Period | 2024-2031 |
| Global Artificial Intelligence in Agriculture Market Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 20.56% |
| Market Split by Technology |
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| Market Split by Offering |
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| Market Split by Application |
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| List of Competitors |
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| Regional Analysis |
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Country Analysis |
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Key Qualitative Information Covered |
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Artificial Intelligence in Agriculture Market Report Description
Introduction of the Artificial Intelligence in Agriculture Market
Integration of the Artificial Intelligence (AI) in agriculture has revolutionized the industry by enhancing efficiency, productivity, and sustainability. AI technologies like computer vision, ML, and predictive analytics are being deployed to optimize various agricultural processes. These include crop monitoring, yield prediction, disease detection, precision farming, and resource management. AI-powered systems analyze vast amounts of data collected from drones, sensors, and satellite imagery to provide actionable insights for farmers, enabling them to make informed decisions and maximize yields while minimizing resource wastage. Additionally, AI solutions contribute to mitigating environmental impact by reducing chemical usage and optimizing water usage. The global AI in agriculture market is experiencing fast growth, driven by the surging adoption of smart farming practices, government initiatives promoting digitalization in agriculture, and growing demand for food security amidst population growth and climate change challenges.
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Market Dynamics of Artificial Intelligence in Agriculture Market
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Key Drivers for Artificial Intelligence in the Agriculture Market
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Increasing Population and Demand for Food to Increase the Demand Globally - One key driver in the Artificial Intelligence in Agriculture market is the rising demand for food growing population. As the global population continues to surge, there is an surging demand for food production to meet the needs of a larger populace. This growing demand poses significant challenges to traditional agricultural practices in terms of efficiency, productivity, and sustainability. Artificial Intelligence (AI) offers innovative solutions by optimizing various aspects of farming, such as crop monitoring, yield prediction, and resource management. By harnessing AI technologies, farmers can enhance their productivity and maximize yields while minimizing resource wastage.
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Supportive Government Policies and the Initiatives to Promote Modern Agricultural Tools and Techniques Drive the Market by Fostering Technological Adoption, Incentivizing Innovation, and Facilitating the Integration of AI Solutions into Farming Practices.
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Key Restraints for Artificial Intelligence in the Agriculture Market
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High-Cost and Unskilled Labor- The high initial cost of installation and unskilled labor is a significant barrier to market growth.
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Large-Scale Technological Limitations in Underdevelopment Economies- Large-scale technological limitations in underdeveloped economies hinder the widespread adoption and growth of Artificial Intelligence in the Agriculture market by impeding access to necessary infrastructure and resources for deploying AI-powered solutions effectively.
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Artificial Intelligence in Agriculture Market Insights Video
Competitive Landscape of the Artificial Intelligence in Agriculture Market
In April 2023, IBM collaborated with Texas A&M AgriLife to offer farmers with water consumption insights, which can fuel agricultural productivity while minimizing economic and environmental expenses. Both the companies will deploy and grow Liquid Prep, a technology solution to help farmers decide ‘when to water’ in dry parts of the US.
(Source: https://agrilifeextension.tamu.edu/programs-services/)
Top Companies Market Share in Artificial Intelligence in Agriculture Industry: (In no particular order of Rank)
- Microsoft
- IBM Corporation
- Granular Inc.
- AgEagle Aerial Systems Inc.
- The Climate Corporation
- Deere & Company
- Descartes Labs Inc.
- Prospera Technologies
- GAMAYA
- aWhere Inc.
- Taranis
- ec2ce
- VineView
- PrecisionHawk
- Tule Technologies Inc.
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Regional Analysis of Artificial Intelligence in Agriculture
Which Region Dominates the Artificial Intelligence in Agriculture Market in 2024?
According to Cognitive Market Research, North America dominated the market in 2024 and accounted for around 40% of the global revenue due to its advanced technological infrastructure and significant investments in research and development. The region benefits from a broad ecosystem of tech companies, universities, and research institutions driving innovation in agricultural AI applications. Additionally, favorable government policies and initiatives encourage the adoption of AI technologies in farming practices.
Which Region is Expanding at the Fastest CAGR?
Asia-Pacific stands out as the fastest-growing region in the Artificial Intelligence in Agriculture market due to the increasing population and rising food demand, driving the need for efficient agricultural practices. Additionally, government initiatives promoting digitalization in agriculture, coupled with advancements in AI technology, are facilitating the adoption of AI solutions among farmers. Furthermore, the presence of emerging economies with vast agricultural landscapes provides significant opportunities for AI integration, leading to the fastest-growing market in this sector.
The current report Scope analyzes Artificial Intelligence in Agriculture Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
- North America (United States, Canada, Mexico)
- Europe (United Kingdom, France, Germany, Italy, Russia, Spain, Sweden, Denmark, Netherlands, Switzerland, Belgium)
- Asia-Pacific (China, Japan, Korea, India, Australia, Philippines, Singapore, Malaysia, Thailand, Indonesia, Rest of APAC)
- South America (Brazil, Argentina, Colombia, Peru, Chile, Rest of South America)
- Middle East and Africa (Saudi Arabia, Turkey, Nigeria, UAE, Egypt, South Africa, GCC Countries, Rest of MEA)
Artificial Intelligence in Agriculture Market Share (%) by Region (2019-2031)
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Artificial Intelligence in Agriculture Market Analysis
Global Artificial Intelligence in Agriculture Market Report 2024 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing Artificial Intelligence in Agriculture Industry growth. Artificial Intelligence in Agriculture market has been segmented with the help of its Technology, Offering Application, and others. Artificial Intelligence in Agriculture market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
Artificial Intelligence in Agriculture Market Technology Segment Analysis
According to Cognitive Market Research, machine learning category is the dominating category due to its ability to analyze huge amounts of agricultural data and provide actionable insights. Through algorithms and predictive models, Machine Learning enables farmers to make informed decisions regarding the crop management, resource allocation, and pest control. Its adaptability to different farming environments and scalability makes it highly versatile for addressing various agricultural challenges. As Machine Learning continues to evolve, its dominance in the AI Agriculture market is expected to solidify further, driving efficiency and sustainability in farming practices.
Artificial Intelligence in Agriculture Market Share (%) by Technology in 2019-2031
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Offering Segment Analysis of Artificial Intelligence in Agriculture Market
This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends and opportunities for each application of Artificial Intelligence in Agriculture from 2019 to 2031. This will also help to analyze the demand for Artificial Intelligence in Agriculture across different end-use industries. Our research team will also help acquire additional data such as Value Chain, Patent analysis, Company Evaluation Quadrant (Matrix), and much more confidential analysis and data insights.
Some of the key Offering of Artificial Intelligence in Agriculture are:
- Hardware
- Software
- AI-as-a-Service
- Service
Artificial Intelligence in Agriculture Market Share (%) by Offering in 2019-2031
2019
2023
2031
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Artificial Intelligence in Agriculture Application Segment Analysis
- Precision Farming
- Agriculture Robots
- Livestock Monitoring
- Drone Analytics
- Labor Management
- Others
Author's Detail
Swasti DharmadhikariResearch associate at Cognitive Market Research
Swasti Dharmadhikari, an agile and achievement-focused market researcher with an innate ardor for deciphering the intricacies of the Service & Software sector. Backed by a profound insight into technology trends and consumer dynamics, she has committed herself to meticulously navigating the ever-evolving terrain of digital Services and software solutions.
Swasti an agile and achievement-focused market researcher with an innate ardor for deciphering the intricacies of the Service & Software sector. Backed by a profound insight into technology trends and consumer dynamics, she has committed herself to meticulously navigating the ever-evolving terrain of digital Services and software solutions.
In her current role, Swasti manages research for service and software category, leading initiatives to uncover market opportunities and enhance competitive positioning. Her strong analytical skills and ability to provide clear, impactful findings have been crucial to her team’s success. With an expertise in market research analysis, She is adept at dissecting complex problems, extracting meaningful insights, and translating them into actionable recommendations, Swasti remains an invaluable asset in the dynamic landscape of market research.
Author's Conclusion
Our study will explain complete manufacturing process along with major raw materials required to manufacture end-product. This report helps to make effective decisions determining product position and will assist you to understand opportunities and threats around the globe.
The Global Artificial Intelligence in Agriculture Market is witnessing significant growth in the near future.
In 2023, the Machine Learning segment accounted for noticeable share of global Artificial Intelligence in Agriculture Market and is projected to experience significant growth in the near future.
The Hardware segment is expected to expand at the significant CAGR retaining position throughout the forecast period.
Some of the key companies Microsoft , Granular Inc. and others are focusing on its strategy building model to strengthen its product portfolio and expand its business in the global market.
Frequently Asked Questions
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Latest News about Artificial Intelligence in Agriculture Market
Sources from Service & Software Industry
- https://financesonline.com/transportation-industry-statistics/
- https://www.computer.org/advertising-and-sponsorship-opportunities
- https://www.softwaremag.com/software-magazine-500-companies/
- https://oag.ca.gov/privacy/ccpa
- https://www.softwareworld.co/
- https://www.analyticsinsight.net/
- https://www.dbta.com/About/AboutUs.aspx
- https://insidebigdata.com/
- https://www.datanami.com/
- https://dataconomy.com/about-us/
- https://www.kdnuggets.com/
- https://www.technologyreview.com/
- https://www.dataversity.net/my-career-in-data-episode-14-dora-boussias-senior-director-data-strategy-architecture-stryker/
- https://datafloq.com/read/15-benefits-of-software-development-architecture/
- https://www.datasciencecentral.com/category/technical-topics/data-science/
- https://www.informs.org/Meetings-Conferences/INFORMS-Conference-Calendar/17th-INFORMS-Computing-Society-Conference-2022
- https://www.analyticsvidhya.com/blog/category/guide/page/18/
- https://developer.ibm.com/
- https://www.trendhunter.ai/
- http://intelligence.org/
- https://emerj.com/
- https://www.r-bloggers.com/
- https://www.jair.org/index.php/jair
- https://www.smartdatacollective.com/
- https://www.frontiersin.org/journals/big-data
- https://appdevelopermagazine.com/
- https://www.developer-tech.com/
- https://www.infoworld.com/category/application-development/
- https://www.springer.com/journal/10664
- https://www.sciencedirect.com/journal/journal-of-systems-and-software
Artificial Intelligence in Agriculture Market Report Table of Content
Disclaimer:
- This is just a redacted sample pages of the actual deliverable report and only for representative purposes
- Charts/Graphs/Numbers/data are only for Representative purposes and do not depict actual statistics.
- The table of Contents differs according to the user License selection. Current Displayed TOC is for the Corporate User License Report Edition. TOC Customization options: Add or Remove section/s Or chapter/s from the report.
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| Technology | Machine Learning, Computer Vision, Predictive Analytics |
| Offering | Hardware, Software, AI-as-a-Service, Service |
| Application | Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, Others |
| List of Competitors | Microsoft, IBM Corporation, Granular Inc., AgEagle Aerial Systems Inc., The Climate Corporation, Deere & Company, Descartes Labs Inc., Prospera Technologies, GAMAYA, aWhere Inc., Taranis, ec2ce, VineView, PrecisionHawk, Tule Technologies Inc. |
This chapter will help you gain GLOBAL Market Analysis of Artificial Intelligence in Agriculture. Further deep in this chapter, you will be able to review Global Artificial Intelligence in Agriculture Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
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1.1 Global Artificial Intelligence in Agriculture Market Size, Trend Analysis 2019 - 2031
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1.2 Global Artificial Intelligence in Agriculture Market Size By Regions 2019 - 2031
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
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1.2.1 Global Artificial Intelligence in Agriculture Revenue Market Size By Region
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1.3 Global Artificial Intelligence in Agriculture Market Size By Technology 2019 -2031
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1.3.1 Machine Learning Market Size
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1.3.2 Computer Vision Market Size
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1.3.3 Predictive Analytics Market Size
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1.4 Global Artificial Intelligence in Agriculture Market Size By Offering 2019 -2031
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1.4.1 Hardware Market Size
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1.4.2 Software Market Size
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1.4.3 AI-as-a-Service Market Size
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1.4.4 Service Market Size
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1.5 Global Artificial Intelligence in Agriculture Market Size By Application 2019 -2031
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1.5.1 Precision Farming Market Size
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1.5.2 Agriculture Robots Market Size
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1.5.3 Livestock Monitoring Market Size
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1.5.4 Drone Analytics Market Size
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1.5.5 Labor Management Market Size
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1.5.6 Others Market Size
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1.6 Global Level Competitor Analysis (Subject to Data Availability (Private Players))
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1.7 Executive Summary Global Market (2019 vs 2024 vs 2031)
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
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1.7.1 Regional Market Revenue Summary 2019 vs 2024 vs 2031
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1.7.2 Global Market Revenue Split By Technology
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1.7.3 Global Market Revenue Split By Offering
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1.7.4 Global Market Revenue Split By Application
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1.7.5 Global Market Dynamics, Trends, Drivers, Restraints, Opportunities
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
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Chapter 2 North America Market Analysis
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2.1 North America Artificial Intelligence in Agriculture Market Size 2019 - 2031
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2.1.1 North America Artificial Intelligence in Agriculture Market Size By Country 2019 - 2031
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2.1.2 North America Artificial Intelligence in Agriculture Market Size by Technology 2019 -2031
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2.1.2.1 North America Machine Learning Market Size
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2.1.2.2 North America Computer Vision Market Size
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2.1.2.3 North America Predictive Analytics Market Size
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2.1.3 North America Artificial Intelligence in Agriculture Market Size by Offering 2019 -2031
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2.1.3.1 North America Hardware Market Size
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2.1.3.2 North America Software Market Size
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2.1.3.3 North America AI-as-a-Service Market Size
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2.1.3.4 North America Service Market Size
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2.1.4 North America Artificial Intelligence in Agriculture Market Size by Application 2019 -2031
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2.1.4.1 North America Precision Farming Market Size
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2.1.4.2 North America Agriculture Robots Market Size
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2.1.4.3 North America Livestock Monitoring Market Size
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2.1.4.4 North America Drone Analytics Market Size
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2.1.4.5 North America Labor Management Market Size
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2.1.4.6 North America Others Market Size
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Chapter 3 Europe Market Analysis
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3.1 Europe Artificial Intelligence in Agriculture Market Size 2019 - 2031
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3.1.1 Europe Artificial Intelligence in Agriculture Market Size By Country 2019 - 2031
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3.1.2 Europe Artificial Intelligence in Agriculture Market Size by Technology 2019 -2031
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3.1.2.1 Europe Machine Learning Market Size
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3.1.2.2 Europe Computer Vision Market Size
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3.1.2.3 Europe Predictive Analytics Market Size
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3.1.3 Europe Artificial Intelligence in Agriculture Market Size by Offering 2019 -2031
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3.1.3.1 Europe Hardware Market Size
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3.1.3.2 Europe Software Market Size
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3.1.3.3 Europe AI-as-a-Service Market Size
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3.1.3.4 Europe Service Market Size
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3.1.4 Europe Artificial Intelligence in Agriculture Market Size by Application 2019 -2031
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3.1.4.1 Europe Precision Farming Market Size
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3.1.4.2 Europe Agriculture Robots Market Size
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3.1.4.3 Europe Livestock Monitoring Market Size
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3.1.4.4 Europe Drone Analytics Market Size
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3.1.4.5 Europe Labor Management Market Size
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3.1.4.6 Europe Others Market Size
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Chapter 4 Asia Pacific Market Analysis
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4.1 Asia Pacific Artificial Intelligence in Agriculture Market Size 2019 - 2031
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4.1.1 Asia Pacific Artificial Intelligence in Agriculture Market Size By Country 2019 - 2031
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4.1.2 Asia Pacific Artificial Intelligence in Agriculture Market Size by Technology 2019 -2031
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4.1.2.1 Asia Pacific Machine Learning Market Size
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4.1.2.2 Asia Pacific Computer Vision Market Size
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4.1.2.3 Asia Pacific Predictive Analytics Market Size
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4.1.3 Asia Pacific Artificial Intelligence in Agriculture Market Size by Offering 2019 -2031
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4.1.3.1 Asia Pacific Hardware Market Size
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4.1.3.2 Asia Pacific Software Market Size
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4.1.3.3 Asia Pacific AI-as-a-Service Market Size
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4.1.3.4 Asia Pacific Service Market Size
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4.1.4 Asia Pacific Artificial Intelligence in Agriculture Market Size by Application 2019 -2031
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4.1.4.1 Asia Pacific Precision Farming Market Size
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4.1.4.2 Asia Pacific Agriculture Robots Market Size
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4.1.4.3 Asia Pacific Livestock Monitoring Market Size
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4.1.4.4 Asia Pacific Drone Analytics Market Size
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4.1.4.5 Asia Pacific Labor Management Market Size
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4.1.4.6 Asia Pacific Others Market Size
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Chapter 5 South America Market Analysis
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5.1 South America Artificial Intelligence in Agriculture Market Size 2019 - 2031
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5.1.1 South America Artificial Intelligence in Agriculture Market Size By Country 2019 - 2031
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5.1.2 South America Artificial Intelligence in Agriculture Market Size by Technology 2019 -2031
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5.1.2.1 South America Machine Learning Market Size
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5.1.2.2 South America Computer Vision Market Size
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5.1.2.3 South America Predictive Analytics Market Size
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5.1.3 South America Artificial Intelligence in Agriculture Market Size by Offering 2019 -2031
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5.1.3.1 South America Hardware Market Size
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5.1.3.2 South America Software Market Size
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5.1.3.3 South America AI-as-a-Service Market Size
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5.1.3.4 South America Service Market Size
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5.1.4 South America Artificial Intelligence in Agriculture Market Size by Application 2019 -2031
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5.1.4.1 South America Precision Farming Market Size
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5.1.4.2 South America Agriculture Robots Market Size
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5.1.4.3 South America Livestock Monitoring Market Size
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5.1.4.4 South America Drone Analytics Market Size
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5.1.4.5 South America Labor Management Market Size
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5.1.4.6 South America Others Market Size
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Chapter 6 Middle East and Africa Market Analysis
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6.1 Middle East and Africa Artificial Intelligence in Agriculture Market Size 2019 - 2031
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6.1.1 Middle East and Africa Artificial Intelligence in Agriculture Market Size By Country 2019 - 2031
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6.1.2 Middle East and Africa Artificial Intelligence in Agriculture Market Size by Technology 2019 -2031
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6.1.2.1 Middle East and Africa Machine Learning Market Size
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6.1.2.2 Middle East and Africa Computer Vision Market Size
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6.1.2.3 Middle East and Africa Predictive Analytics Market Size
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6.1.3 Middle East and Africa Artificial Intelligence in Agriculture Market Size by Offering 2019 -2031
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6.1.3.1 middle_east_and_africa_title} Hardware Market Size
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6.1.3.2 middle_east_and_africa_title} Software Market Size
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6.1.3.3 middle_east_and_africa_title} AI-as-a-Service Market Size
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6.1.3.4 middle_east_and_africa_title} Service Market Size
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6.1.4 Middle East and Africa Artificial Intelligence in Agriculture Market Size by Application 2019 -2031
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6.1.4.1 Middle East and Africa Precision Farming Market Size
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6.1.4.2 Middle East and Africa Agriculture Robots Market Size
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6.1.4.3 Middle East and Africa Livestock Monitoring Market Size
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6.1.4.4 Middle East and Africa Drone Analytics Market Size
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6.1.4.5 Middle East and Africa Labor Management Market Size
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6.1.4.6 Middle East and Africa Others Market Size
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Only Available with Corporate User License
Chapter 7 Top 10 Countries Analysis (Only Available with Corporate User License)
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7.1 Country 1 Market Analysis
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7.1.1 Country 1Artificial Intelligence in Agriculture Market Size by Technology 2019 -2031
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7.1.2 Country 1Artificial Intelligence in Agriculture Market Size by Offering 2019 -2031
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7.1.3 Country 1Artificial Intelligence in Agriculture Market Size by Application 2019 -2031
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7.2 Country 2 Market Analysis
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7.2.1 Segmentation Analysis will be provided as shown for Country 1
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7.3 Country 3 Market Analysis
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7.3.1 Segmentation Analysis will be provided as shown for Country 1
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7.4 Country 4 Market Analysis
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7.4.1 Segmentation Analysis will be provided as shown for Country 1
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7.5 Country 5 Market Analysis
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7.5.1 Segmentation Analysis will be provided as shown for Country 1
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7.6 Country 6 Market Analysis
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7.6.1 Segmentation Analysis will be provided as shown for Country 1
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7.7 Country 7 Market Analysis
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7.7.1 Segmentation Analysis will be provided as shown for Country 1
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7.8 Country 8 Market Analysis
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7.8.1 Segmentation Analysis will be provided as shown for Country 1
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7.9 Country 9 Market Analysis
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7.9.1 Segmentation Analysis will be provided as shown for Country 1
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7.10 Country 10 Market Analysis
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7.10.1 Segmentation Analysis will be provided as shown for Country 1
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Competitor's Market Share and Revenue (Subject to Data Availability for Private Players)
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
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8.1 Top Competitors Analysis
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8.1.1 Top Players Ranking 2022
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8.1.2 Global Artificial Intelligence in Agriculture Market Revenue and Share by Manufacturers (2019-2023)
(Subject to Data Availability (Private Players))
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8.1.3 Industry Mergers and Acquisition Analysis
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8.1.4 New Product Launch Analysis
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8.2 Company Profile (Data Subject to Availability)
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8.2.1 Microsoft
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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8.2.1.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
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8.2.1.2 Business Overview
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8.2.1.3 Financials (Subject to data availability)
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8.2.1.4 Product Types Specification
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8.2.1.5 Business Strategy
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8.2.1.6 S.W.O.TAnalysis
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8.2.2 IBM Corporation
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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8.2.2.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
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8.2.2.2 Business Overview
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8.2.2.3 Financials (Subject to data availability)
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8.2.2.4 Product Types Specification
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8.2.2.5 Business Strategy
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8.2.2.6 S.W.O.TAnalysis
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8.2.3 Granular Inc.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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8.2.3.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
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8.2.3.2 Business Overview
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8.2.3.3 Financials (Subject to data availability)
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8.2.3.4 Product Types Specification
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8.2.3.5 Business Strategy
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8.2.3.6 S.W.O.TAnalysis
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8.2.4 AgEagle Aerial Systems Inc.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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8.2.4.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
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8.2.4.2 Business Overview
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8.2.4.3 Financials (Subject to data availability)
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8.2.4.4 Product Types Specification
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8.2.4.5 Business Strategy
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8.2.4.6 S.W.O.TAnalysis
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8.2.5 The Climate Corporation
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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8.2.5.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
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8.2.5.2 Business Overview
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8.2.5.3 Financials (Subject to data availability)
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8.2.5.4 Product Types Specification
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8.2.5.5 Business Strategy
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8.2.5.6 S.W.O.TAnalysis
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8.2.6 Deere & Company
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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8.2.6.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
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8.2.6.2 Business Overview
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8.2.6.3 Financials (Subject to data availability)
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8.2.6.4 Product Types Specification
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8.2.6.5 Business Strategy
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8.2.6.6 S.W.O.TAnalysis
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8.2.7 Descartes Labs Inc.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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8.2.7.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
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8.2.7.2 Business Overview
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8.2.7.3 Financials (Subject to data availability)
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8.2.7.4 Product Types Specification
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8.2.7.5 Business Strategy
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8.2.7.6 S.W.O.TAnalysis
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8.2.8 Prospera Technologies
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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8.2.8.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
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8.2.8.2 Business Overview
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8.2.8.3 Financials (Subject to data availability)
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8.2.8.4 Product Types Specification
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8.2.8.5 Business Strategy
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8.2.8.6 S.W.O.TAnalysis
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8.2.9 GAMAYA
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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8.2.9.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
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8.2.9.2 Business Overview
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8.2.9.3 Financials (Subject to data availability)
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8.2.9.4 Product Types Specification
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8.2.9.5 Business Strategy
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8.2.9.6 S.W.O.TAnalysis
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8.2.10 aWhere Inc.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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8.2.10.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
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8.2.10.2 Business Overview
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8.2.10.3 Financials (Subject to data availability)
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8.2.10.4 Product Types Specification
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8.2.10.5 Business Strategy
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8.2.10.6 S.W.O.TAnalysis
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8.2.11 Taranis
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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8.2.11.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
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8.2.11.2 Business Overview
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8.2.11.3 Financials (Subject to data availability)
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8.2.11.4 Product Types Specification
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8.2.11.5 Business Strategy
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8.2.11.6 S.W.O.TAnalysis
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8.2.12 ec2ce
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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8.2.12.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
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8.2.12.2 Business Overview
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8.2.12.3 Financials (Subject to data availability)
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8.2.12.4 Product Types Specification
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8.2.12.5 Business Strategy
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8.2.12.6 S.W.O.TAnalysis
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8.2.13 VineView
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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8.2.13.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
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8.2.13.2 Business Overview
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8.2.13.3 Financials (Subject to data availability)
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8.2.13.4 Product Types Specification
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8.2.13.5 Business Strategy
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8.2.13.6 S.W.O.TAnalysis
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8.2.14 PrecisionHawk
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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8.2.14.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
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8.2.14.2 Business Overview
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8.2.14.3 Financials (Subject to data availability)
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8.2.14.4 Product Types Specification
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8.2.14.5 Business Strategy
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8.2.14.6 S.W.O.TAnalysis
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8.2.15 Tule Technologies Inc.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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8.2.15.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
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8.2.15.2 Business Overview
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8.2.15.3 Financials (Subject to data availability)
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8.2.15.4 Product Types Specification
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8.2.15.5 Business Strategy
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8.2.15.6 S.W.O.TAnalysis
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Chapter 9 Qualitative Analysis (Subject to Data Availability)
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9.1 Market Drivers
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9.2 Market Trends
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9.3 Market Restraints
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9.4 Market Opportunity
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9.5 Product Life Cycle (Subject to Data Availability)
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9.6 Industrial Chain Analysis (Subject to Data Availability)
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9.6.1 Industry Chain Analysis
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9.6.2 Manufacturing Cost Analysis
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9.6.3 Consumer Preference Analysis
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9.6.4 Supply Side Analysis
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9.6.4.1 Raw Material Analysis
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9.6.4.2 Raw Material Procurement Analysis
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9.6.4.3 Raw Material Price Trend Analysis
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9.7 Market Attractiveness Analysis
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9.8 PESTEL Analysis
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9.9 Porter’s Five Forces Analysis
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9.10 Patent Analysis (Subject to Data Availability)
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9.11 ESG Analysis
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9.12 Technological Road Map
Segmentation Technology Analysis 2019 -2031, will provide market size split by Technology. This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Technology Analysis 2019 -2031
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10.1 Machine Learning
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10.1.1 Global Artificial Intelligence in Agriculture Revenue Market Size and Share by Machine Learning 2019 -2031
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10.2 Computer Vision
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10.2.1 Global Artificial Intelligence in Agriculture Revenue Market Size and Share by Computer Vision 2019 -2031
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10.3 Predictive Analytics
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10.3.1 Global Artificial Intelligence in Agriculture Revenue Market Size and Share by Predictive Analytics 2019 -2031
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The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 11 Market Split by Offering Analysis 2019 -2031
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11.1 Hardware
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11.1.1 Global Artificial Intelligence in Agriculture Revenue Market Size and Share by Hardware 2019 - 2031
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11.2 Software
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11.2.1 Global Artificial Intelligence in Agriculture Revenue Market Size and Share by Software 2019 - 2031
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11.3 AI-as-a-Service
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11.3.1 Global Artificial Intelligence in Agriculture Revenue Market Size and Share by AI-as-a-Service 2019 - 2031
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11.4 Service
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11.4.1 Global Artificial Intelligence in Agriculture Revenue Market Size and Share by Service 2019 - 2031
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The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 12 Market Split by Application Analysis 2019 -2031
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12.1 Precision Farming
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12.1.1 Global Artificial Intelligence in Agriculture Revenue Market Size and Share by Precision Farming 2019 -2031
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12.2 Agriculture Robots
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12.2.1 Global Artificial Intelligence in Agriculture Revenue Market Size and Share by Agriculture Robots 2019 -2031
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12.3 Livestock Monitoring
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12.3.1 Global Artificial Intelligence in Agriculture Revenue Market Size and Share by Livestock Monitoring 2019 -2031
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12.4 Drone Analytics
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12.4.1 Global Artificial Intelligence in Agriculture Revenue Market Size and Share by Drone Analytics 2019 -2031
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12.5 Labor Management
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12.5.1 Global Artificial Intelligence in Agriculture Revenue Market Size and Share by Labor Management 2019 -2031
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12.6 Others
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12.6.1 Global Artificial Intelligence in Agriculture Revenue Market Size and Share by Others 2019 -2031
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This chapter helps you understand the Key Takeaways and Analyst Point of View of the global Artificial Intelligence in Agriculture market
Chapter 13 Research Findings
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13.1 Key Takeaways
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13.2 Analyst Point of View
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
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13.3 Assumptions and Acronyms
Sample Format of Deliverables
The Tables, Graphs/Charts are only for representative purposes and do not depict actual statistics. Purchase full Report access to actual data.
Qualitative Analysis
Research Methodology Implemented by Swasti Dharmadhikari and Team
- 1.1 Artificial Intelligence in Agriculture Market Report 2024 Research Methodology
- 1.2 Systematic Research Approach
- 1.2.1 Primary Research for Artificial Intelligence in Agriculture Market
- 1.2.1.1 Key Data from Primary
- 1.2.1.2 Primary Interviews with Experts
- 1.2.1.3 Key Industry Insights
- 1.2.1.4 Questionnaire for Artificial Intelligence in Agriculture Market
- 1.2.1.5 Breakdown of Primaries
- 1.2.2 Secondary Research for Artificial Intelligence in Agriculture Market
- 1.2.2.1 Key Data from Secondary
- 1.2.2.2 Paid Sources
- 1.2.2.3 Public Sources
- 1.3 Market Size Estimation for Artificial Intelligence in Agriculture Market
- 1.3.1 Top-Down Approach
- 1.3.1.1 Analyzing Market Size by Top-Down Approach (Supply Side)
- 1.3.2 Bottom-UP Approach
- 1.3.2.1 Analyzing Market Size by Bottom-Up Approach (Demand Side)
- 1.3.1 Top-Down Approach
- 1.4 Market Breakdown and Data Triangulation
- 1.5 Research Assumptions for Artificial Intelligence in Agriculture Market
Key Questions Answered By Artificial Intelligence in Agriculture Market Report 2024
| Why Machine Learning have a significant impact on Artificial Intelligence in Agriculture market? |
| What are the key factors affecting the Machine Learning and Computer Vision of Artificial Intelligence in Agriculture Market? |
| What is the CAGR/Growth Rate of Hardware during the forecast period? |
| By type, which segment accounted for largest share of the global Artificial Intelligence in Agriculture Market? |
| Which region is expected to dominate the global Artificial Intelligence in Agriculture Market within the forecast period? |
| Segmentation Level Customization |
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| Global level Data Customization |
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| Region level Data Customization |
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| Country level Data Customization |
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| Company Level |
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| Additional Data Analysis |
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| Additional Qualitative Data |
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| Additional Quantitative Data |
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| Service Level Customization |
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Report Format Alteration |
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