Global AI in Agriculture Market Size By Segmentations, Top Key Players, Trend, Future Development & Forecast 2024-2035
- PUBLISHED ON
- 11/23/2022
- NO OF PAGES
- 221
- CATEGORY
- Information Technology
Market estimates and forecast are backed by an extensive primary research, further complemented by on-point secondary research of AI in Agriculture Market. The research analysts have invested significant time and effort in gathering critical industry information from KIPs such as OEMs, top suppliers and distributors, and government bodies.
Global AI in Agriculture Scope and Market Size
AI in Agriculture market is segmented by Company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global AI in Agriculture market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2022-2030.
Global AI in Agriculture Market: By Types
Machine Learning
Computer Vision
Predictive Analytics
Global AI in Agriculture Market: By Applications
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
By Region
North America
Europe
Japan
China
Southeast Asia
India
Global AI in Agriculture Market: Top Key Players
Ag Leader Technology
Trimble
John Deere
Iteris
AGCO
aWhere
Gamaya
Granular
Raven Industries
Iteris
AGCO
Global AI in Agriculture Market: Market Size Estimation
Both the top-down and bottom-up approaches were used to estimate and validate the size of the market and to estimate the size of various other dependent sub-markets of various marketspaces. The key players in the markets are identified through secondary research, and their market contributions in different applications across regions and globally were determined through primary and secondary research. This entire process included the study of the annual and financial reports of the top market players and extensive interviews for key insights with industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources. All the possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analysed to arrive at the final quantitative and qualitative data. This data has been consolidated, and detailed inputs and analysis from Analytics Market Research added before being presented in this report.
Reasons to Purchase AI in Agriculture Market Report
• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
• The current as well as the future market outlook of the industry with respect to recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes in-depth analysis of the market of various perspectives through Porter’s five forces analysis
• Provides insight into the market through Value Chain
• Market dynamics scenario, along with growth opportunities of the market in the years to come
Frequently Asked Questions
• What is the market size and growth projections?
• What is the market size and growth projection for each of the market segments and sub-segments across Countries & Regions?
• What are the top performing segments, and countries / regions of each of the markets?
• What is the market size and growth rate across key countries / regions?
• How big is the global & regional market in terms of revenue and volume?
• How far market will grow in forecast period in terms of revenue and volume?
• What factors will influence demand and supply trends across each markets during the forecast period?
• What are the technology trends shaping various markets?
• Which country / region has more opportunities?
• What is the COVID-19 impact on the market and how long will it take to recover?
• Who are the key competitors of market Players?
• What are the market share (%) of Key Players?
• What are the Merger & Acquisition, New Product Launch, Recent Development within each of the Markets?
• What are PEST analysis, Ecosystem Analysis, Porter's Five Forecast Analysis, Ansoff Matrix, and SWOT Analysis among other analyses for diverse markets?
Historic Year: 2016-2022
Forecast: 2024-2035
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI in Agriculture Market Size Growth Rate by Type (2022-2030)
1.2.2 Machine Learning
1.2.3 Computer Vision
1.2.4 Predictive Analytics
1.3 Market by Application
1.3.1 Global AI in Agriculture Market Share by Application (2022-2030)
1.3.2 Precision Farming
1.3.3 Livestock Monitoring
1.3.4 Drone Analytics
1.3.5 Agriculture Robots
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered
2 Executive Summary
2.1 Global AI in Agriculture Market Size
2.2 AI in Agriculture Market Size by Regions
2.2.1 AI in Agriculture Growth Rate by Regions (2022-2030)
2.2.2 AI in Agriculture Market Share by Regions (2022-2030)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Use Cases
3 Key Players
3.1 AI in Agriculture Revenue by Players (2020-2021)
3.2 AI in Agriculture Key Players Headquaters and Area Served
3.3 Key Players AI in Agriculture Product/Solution/Service
3.4 Date of Enter into AI in Agriculture Market
3.5 Mergers & Acquisitions, Expansion Plans
4 Breakdown by Type and by Application
4.1 Global AI in Agriculture Market Size by Type (2022-2030)
4.2 Global AI in Agriculture Market Size by Application (2022-2030)
5 North America
5.1 North America AI in Agriculture Market Forecast (2022-2030)
5.2 AI in Agriculture Key Players in North America
5.3 North America AI in Agriculture Market Size by Type
5.4 North America AI in Agriculture Market Size by Application
6 Europe
6.1 Europe AI in Agriculture Market Forecast (2022-2030)
6.2 AI in Agriculture Key Players in Europe
6.3 Europe AI in Agriculture Market Size by Type
6.4 Europe AI in Agriculture Market Size by Application
7 Japan
7.1 Japan AI in Agriculture Market Forecast (2022-2030)
7.2 AI in Agriculture Key Players in Europe
7.3 Japan AI in Agriculture Market Size by Type
7.4 Japan AI in Agriculture Market Size by Application
8 Rest of World
8.1 China
8.1.1 China AI in Agriculture Market Analysis
8.1.2 Key Players in China
8.2 Southeast Asia
8.2.1 Southeast Asia AI in Agriculture Market Analysis
8.2.2 Key Players in Southeast Asia
8.3 India
8.3.1 India AI in Agriculture Market Analysis
8.3.2 Key Players in India
9 International Player Profiles
9.1 Ag Leader Technology
9.1.1 Ag Leader Technology Company Details
9.1.2 Ag Leader Technology Description and Business Overview
9.1.3 Ag Leader Technology AI in Agriculture Introduction
9.1.4 Ag Leader Technology Revenue in AI in Agriculture Business (2020-2021)
9.1.5 Ag Leader Technology Recent Development
9.2 Trimble
9.2.1 Trimble Company Details
9.2.2 Trimble Description and Business Overview
9.2.3 Trimble AI in Agriculture Introduction
9.2.4 Trimble Revenue in AI in Agriculture Business (2020-2021)
9.2.5 Trimble Recent Development
9.3 John Deere
9.3.1 John Deere Company Details
9.3.2 John Deere Description and Business Overview
9.3.3 John Deere AI in Agriculture Introduction
9.3.4 John Deere Revenue in AI in Agriculture Business (2020-2021)
9.3.5 John Deere Recent Development
9.4 Iteris
9.4.1 Iteris Company Details
9.4.2 Iteris Description and Business Overview
9.4.3 Iteris AI in Agriculture Introduction
9.4.4 Iteris Revenue in AI in Agriculture Business (2020-2021)
9.4.5 Iteris Recent Development
9.5 AGCO
9.5.1 AGCO Company Details
9.5.2 AGCO Description and Business Overview
9.5.3 AGCO AI in Agriculture Introduction
9.5.4 AGCO Revenue in AI in Agriculture Business (2020-2021)
9.5.5 AGCO Recent Development
9.6 aWhere
9.6.1 aWhere Company Details
9.6.2 aWhere Description and Business Overview
9.6.3 aWhere AI in Agriculture Introduction
9.6.4 aWhere Revenue in AI in Agriculture Business (2020-2021)
9.6.5 aWhere Recent Development
9.7 Gamaya
9.7.1 Gamaya Company Details
9.7.2 Gamaya Description and Business Overview
9.7.3 Gamaya AI in Agriculture Introduction
9.7.4 Gamaya Revenue in AI in Agriculture Business (2020-2021)
9.7.5 Gamaya Recent Development
9.8 Granular
9.8.1 Granular Company Details
9.8.2 Granular Description and Business Overview
9.8.3 Granular AI in Agriculture Introduction
9.8.4 Granular Revenue in AI in Agriculture Business (2020-2021)
9.8.5 Granular Recent Development
9.9 Raven Industries
9.9.1 Raven Industries Company Details
9.9.2 Raven Industries Description and Business Overview
9.9.3 Raven Industries AI in Agriculture Introduction
9.9.4 Raven Industries Revenue in AI in Agriculture Business (2020-2021)
9.9.5 Raven Industries Recent Development
9.10 Prospera
9.10.1 Prospera Company Details
9.10.2 Prospera Description and Business Overview
9.10.3 Prospera AI in Agriculture Introduction
9.10.4 Prospera Revenue in AI in Agriculture Business (2020-2021)
9.10.5 Prospera Recent Development
9.11 Skysquirrel Technologies
9.11.1 Skysquirrel Technologies Company Details
9.11.2 Skysquirrel Technologies Description and Business Overview
9.11.3 Skysquirrel Technologies AI in Agriculture Introduction
9.11.4 Skysquirrel Technologies Revenue in AI in Agriculture Business (2020-2021)
9.11.5 Skysquirrel Technologies Recent Development
10 Market Dynamics
10.1 Industry Trends
10.2 Market Drives
10.3 Market Challenges
10.4 Market Restraints
11 Key Findings in This Report
12 Appendix
12.1 Research Methodology
12.1.1 Methodology/Research Approach
12.1.2 Data Source
12.2 Disclaimer
12.3 Author Details
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Case Study- Automotive Sector
One of the key manufacturers of automotive had plans to invest in electric utility vehicles. The electric cars and associated markets being a of evolving nature, the automotive client approached Straits Research for a detailed insight on the market forecasts. The client specifically asked for competitive analysis, regulatory framework, regional prospects studied under the influence of drivers, challenges, opportunities, and pricing in terms of revenue and sales (million units).
Solution
The overall study was executed in three stages, intending to help the client meet its objective of precisely understanding the entire market before deciding on an investment. At first, secondary research was conducted considering political, economic, social, and technological parameters to get a gist of the various aspects of the market. This stage of the study concluded with the derivation of drivers, opportunities, and challenges. It also laid substantial emphasis on understanding and collecting data not only on a global scale but also on the regional and country levels. Data Extraction through Primary Research
The second stage involved primary research in which several market players and automotive parts suppliers were contacted to study their viewpoint concerning the development of their market and production capacity, clientele, and product line. This stage concluded in a brief understanding of the competitive ecosystem and also glanced through the strategies and pricing of the companies profiled.
Market Estimates and Forecast
In the final stage of the study, market forecasts for the electric utility were derived using multiple market engineering approaches. This data helped the client to get an overview of the market and accelerate the process of investment.
Case Study- ICT Sector
Business process outsourcing, being one of the lucrative markets from both supply- and demand- side, has appealed to various companies. One of the prominent corporations based out of Japan approached us with their requirements regarding the scope of the procurement outsourcing market for around 50 countries. Additionally, the client also sought key players operating in the market and their revenue breakdown in terms of region and application.
Business Solution
An exhaustive market study was conducted based on primary and secondary research that involved factors such as labor costs in various countries, skilled and technical labors, manufacturing scenario, and their respective contributions in the global GDP. A comparative study of the market was conducted from both supply- and demand side, with the supply-side comprising of notable companies, such as GEP, Accenture, and others, that provide these services. On the other hand, large manufacturing companies from them demand-side were considered that opt for these services.
Conclusion
The report aided the client in understanding the market trends, including country-level business scenarios, consumer behavior, and trends in 50 countries. The report also provided financial insights of crucial players and detailed market estimations and forecasts till 2028.
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