Global Smart Agriculture
Market Report
2024
Smart Agriculture Market Report 2024 (Global Edition)
Delivery Includes:- Market Timeline 2019 till 2031, Market Size, Revenue/Volume Share, Forecast and CAGR, Competitor Analysis, Regional Analysis, Country Analysis, Segment Analysis, Market Trends, Drivers, Opportunities, Restraints, ESG Analysis, Porters Analysis, PESTEL Analysis, Market Attractiveness, Patent Analysis, Technological Trend, SWOT Analysis, COVID-19 Analysis, Consumer Behavior Analysis, etc.
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.
PDF Access: Password protected PDF file, Excel File Access: Quantitative data, PPT Report Access: For the presentation purpose, Cloud Access: Secure Company Account Access.
|
Rating: 4.8 | Review: 7
Share your contact details to receive free updated sample copy/pages of the recently published edition of Smart Agriculture Market Report 2024.
Global Smart Agriculture Market Report 2024 Market Size Split by Type (Hardware (GPS Drones Sensors LED Grow Lights), Software, Services), by Application (Precision Farming, Livestock Monitoring, Fish...
"Global Smart Agriculture market size 2030 will $27.5 Billion. Smart Agriculture market will be growing at a CAGR of 8.91% during 2024 to 2030."
| Base Year | 2023 |
| Historical Data Time Period | 2019-2023 |
| Forecast Period | 2024-2031 |
| Global Smart Agriculture Market Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 8.91% |
| Market Split by Type |
|
| Market Split by Application |
|
| List of Competitors |
|
| Regional Analysis |
|
Country Analysis |
|
Key Qualitative Information Covered |
|
Report scope is customizable as we have a huge database of Smart Agriculture industry. We can deliver an exclusive report Edition/Consultation as per your data requirements. Request for your Free Sample Pages.
Smart Agriculture Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
Smart Agriculture Market Report Description
Cognitive Market Research has recently published the 7th edition of Smart Agriculture Market Report 2024. It provides majorly two types of information qualitative and quantitative. In terms of quantitative data, current market size, competitors market shares, market forecast, and other industry updates with respect to global, regional, and country levels. Whereas qualitative data, unveils market drivers, restraints, current trends, opportunities, and more. To know more, we encourage you to order the free sample pages.
Market Dynamics such as Drivers, Restraints, Opportunities, Trends data
Smart Agriculture Industry Dynamics
- Market Drivers of Smart Agriculture: The key factors which influence the overall sales demand for Smart Agriculture Industry in a positive way. Market drivers help you understand the impact on market growth. With this information you can predict how said market is likely to grow in the coming year.
- Market Restraints of Smart Agriculture: Restraints are the negative factors which hinder the market growth and development in the near future. Some of the restraining factors including strict government regulations, supply chain disruptions, changing consumer preference are affecting the market growth in the near future. For example, the outburst of COVID-19 affected the most of the industries. Restraining factors are important to analyse on account of companies can develop strategies to overcome their negative impact on the growth of the market.
- Market Opportunities of Smart Agriculture: Market opportunities are expected to open up growth window for the new entrants in the market. It helps to understand unmet needs or an untapped potential in the market.
- Market Trends of Smart Agriculture: (This information will be part of the paid report version.)
We have various report editions of Smart Agriculture Market, hence please contact our sales team and author directly to obtain/purchase a desired Edition eg, Global Edition, Regional Edition, Country Specific Report Edition, Company Profiles, Forecast Edition, etc. Request for your Free Sample PDF/Online Access.
Top Companies in Smart Agriculture Market
Competitive Landscape includes company profiling of the key manufacturers listed below. It also provides the key developments such as new product launches, expansion, mergers & acquisitions, partnerships, agreements, joint ventures, business overview, key strategies and financial analysis associated with the key players. Strategy implemented to overcome the COVID-19 Impact will be discussed in the report scope. Key players Financials includes Revenue (USD Million), Gross Margin (%) and Market Share (%) (2019- 2023), S.W.O.T Analysis, (To read more request the sample pages Or speak to analyst/author directly).
Top Companies Market Share in Smart Agriculture Industry: (In no particular order of Rank)
- Deere
- Trimble
- Raven Industries
- Agjunction
- Agco
- Climate
- AG Leader Technology
- Precision Planting
- SST Development Group
- Topcon Positioning Systems
- Semiosbio Technologies
- Delaval
- Boumatic
- Confidential Data
- Access The Paid Version
- Data Hidden
If any Company(ies) of your interest has/have not been disclosed in the above list then please let us know the same so that we will check the data availability in our database and provide you the confirmation or include it in the final deliverables.
Smart Agriculture Market Regional Analysis
Region and country analysis section of Smart Agriculture Industry Analysis has been segmented into 5 major region such as North America, Europe, Asia Pacific, Middle East & Africa ,and Latin America (along with respective major contributing countries) and provides the revenue share, current trends.
The base years considered for all the estimations by analyzing trends and growth rate will help you gain an in-depth understanding of the conclusions provided in this report. This report also includes figures, graphs, pie charts, tables and bar graphs that explain the data analysis based on current trends at the country level as well as key regions. This research report also focuses on assessing factors such as profit, product price, capacity, production, supply demand market growth rate along with others to create a clear picture on the future prospects of Smart Agriculture market.
The current report Scope analyzes Smart 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)
Smart Agriculture Market Share (%) by Region (2019-2031)
The above graph is for illustrative purposes only.
To learn more about geographical trends request the free sample pages.
Get Free Sample
Smart Agriculture Market Analysis
Global Smart 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 Smart Agriculture Industry growth. Smart Agriculture market has been segmented with the help of its Type, Application , and others. Smart 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.
Type Segment Analysis of Smart Agriculture Market
Based on present and future trends, the market size is estimated from 2019 to 2031. Moreover, study also provides quantitative and qualitative analysis of each type to understand the driving factors for the fastest growing type segment for Smart Agriculture market.
Type of Smart Agriculture analyzed in this report are as follows:
- Hardware (GPS Drones Sensors LED Grow Lights)
- Software
- Services
Smart Agriculture Market Share (%) by Type in 2019-2031
The above Chart is for representative purposes and does not depict actual sale statistics. Access/Request the quantitative data to understand the trends and dominating segment of Smart Agriculture Industry. Request a Free Sample PDF!
Application Segment Analysis of Smart 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 Smart Agriculture from 2019 to 2031. This will also help to analyze the demand for Smart 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 Application of Smart Agriculture are:
- Precision Farming
- Livestock Monitoring
- Fish Farming
- Smart Greenhouse
Smart Agriculture Market Share (%) by Application in 2019-2031
2019
2023
2031
The above Graph is for representation purposes only. This chart does not depict actual Market share.
To learn more about market share request the free sample pages.
Get Free Sample
Author's Detail
Nisha DeoreResearch Analyst at Cognitive Market Research
I am a well-organized, conscientious, and professional Research Analyst with two plus years of experience. In my current role, I conduct in-depth secondary research, data mining, competitive analysis, DRO's, PR, and Collateral writing. Whilst I enjoy working as part of a team, researching information, analyzing data, and producing results that help my organization to achieve its commercial and financial objectives.
Bio :
Nisha Deore is a highly skilled Research Analyst with over three years of experience specializing in the agriculture and food & beverage sectors. Her expertise encompasses secondary research, data mining, competitive analysis, and the development of detailed collateral and PR materials. Known for her meticulous approach, Nisha designs robust research methodologies and delivers actionable insights that support her organization’s commercial and financial objectives.
In her current role, Nisha manages research for both the agriculture and food & beverage categories, 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 a deep passion for both sectors and a commitment to continuous professional development, Nisha 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 Smart Agriculture Market is witnessing significant growth in the near future.
In 2023, the Hardware (GPS Drones Sensors LED Grow Lights) segment accounted for noticeable share of global Smart Agriculture Market and is projected to experience significant growth in the near future.
The Precision Farming segment is expected to expand at the significant CAGR retaining position throughout the forecast period.
Some of the key companies Deere, Raven Industries 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
Smart Agriculturemarket size and its growth rate has been provided in the report. The historical period included in the report is from 2019 to 2023, whereas, the report provides forecast data for the years 2024 to 2031. This will help you to in terms of global market share, regional market share, country level market share to understand how the market has been performing in the past and how it is going to perform in the following years. Correspondingly, historical and forecast analysis comprises sales and revenue data of the global Smart Agriculturemarket. Market size for UK, Europe, North America, Asia Pacific, Middle East & Africa is also included in the report.
The major factors affecting the Smart Agriculture market in a positive, as well as negative perspective, have been provided with detailed analysis in the report. This segment has encompassed drivers, opportunities, and challenges faced by the industry. This will help you to understand the major factors impacting Smart Agriculture market trends and develop your business strategy accordingly.
Major manufacturers or list of Smart Agriculture manufacturers 2024 involved in the market have been profiled in the report along with their business strategies, recent developments, SWOT analysis, business overview, and market Trend from the year 2019-2023. Smart Agriculture Companies such as Deere, Trimble, Raven Industries, Agjunction, Agco, Climate, AG Leader Technology, Precision Planting, SST Development Group, Topcon Positioning Systems, Semiosbio Technologies, Delaval, Boumatic are part of the final deliverable document along with the same we can provide data for 2nd, 3rd, start-up level companies data and strategies as well. This will help you to understand the competitive analysis of the market and how other players are performing in the market. This detailed competitive analysis will help you to strategize your business accordingly and will keep you one step ahead. A quantitative and qualitative analysis of the main players in the Smart Agriculture market is introduced, from the perspective of sales, revenue and price.
Under Smart Agriculture market segments analysis Type, Application, . It provides detailed insights on each type and application. Further, it provides which sub-segment is dominating the Smart Agriculture market along with its reason. Additionally, the Smart Agriculture market report will help you to analyze which sub-segment is fastest-growing during the forecast period.
After the analysis of the complete market, the report has provided how the COVID-19 pandemic has affected the market. All the parameters have covered the overall impact of COVID -19 on the market value, market trend & growth of the market, and how the major players in the particular market are adopting these changes. This will help you to understand the overall optimistic, pessimistic, and neutral effects of the coronavirus pandemic on the Smart Agriculture market.
The Smart Agriculture market has been analyzed thoroughly and has estimated the parameters which have affected the market in the historical period as well as how the market is going to perform in the following years. This will provide a complete market scenario and help you to strategize your next move accordingly to the Smart Agriculture market Share.
The report gives an exhaustive investigation of the Smart Agriculture market at country & regional levels, and provides an analysis of the industry trends in each of the regions, from sales, revenue, and consumption. It will help you to understand which region is dominating the market and is expected to grow significantly in the following years. The regional analysis will help you in strategizing the expansion of business.
Smart Agriculturemarket report has provided PESTEL and Porter analysis to provide insightful information regarding the market scenario. It also provides market attractiveness analysis with an acknowledgment of various factors within the market, including growth rate and market size, as well as outside factors such as access to raw materials, competition, and industry capacity.
The sample report for the Smart Agriculture Market can be obtained on demand from the website. Also, the 24*7 chat support & direct call services are provided to procure the sample report.
Please note, we have not disclose, all the sources consulted/referred during a market study due to confidentiality and paid service concern. However, rest assured that upon purchasing the service or paid report version, we will release the comprehensive list of sources along with the complete report and we also provide the data support where you can intract with the team of analysts who worked on the report.
Latest News about Smart Agriculture Market
Cropin Technology, a global Agtech company, has launched 'ak?ara', the first purpose-built open-source Micro Language Model (µ-LM) for climate-smart agriculture. The model aims to address the challenges faced by underserved farming communities in the Global South by removing knowledge barriers and empowering anyone in the agriculture ecosystem to build frugal and scalable AI solutions. The first version of ak?ara will cover nine crops, including paddy, wheat, maize, sorghum, barley, cotton, sugarcane, soybean, and millets, for five countries in the Indian subcontinent. Cropin aims to bridge the gap between farmers and the world's increasing demand for sufficient, safe, and nutritious food, particularly in the Global South. The model uses GenAI to provide insights into modern farming practices, accurate information, and farm advisories. The initiative also demonstrates Cropin's commitment to sharing knowledge and ethical use of AI for agriculture. The model's design process was guided by Google's People + AI Guidebook and discussions with Google's Responsible AI team to ensure alignment with key responsible AI principles, reduce biases, promote sustainable agricultural practices, and ensure equitable distribution of benefits across farming communities in the Global South. Croppin is reaffirming its leadership in AI for food systems, aiming to make AI accessible to everyone in the ecosystem, including academia, development agencies, governments, and agricultural enterprises. The goal is to enable AI investments to have a significant impact and make AI accessible to everyone in the ecosystem, starting with smallholders in the Global South.
Source Link: https://www.en.krishakjagat.org/ag-tech-research-news/cropin-launches-ak%E1%B9%A3ara-a-micro-language-model-%C2%B5-lm-for-climate-smart-agriculture/
Pupuk Indonesia transforms agriculture data with Snowflake
Pupuk Indonesia has chosen Snowflake Data Cloud to deliver smart farming technologies to its small farmers. The platform allows Pupuk Indonesia to handle large amounts of structured, semi-structured, and unstructured data needed for detailed customer profiling models. Analytics on data like plant health, soil conditions, and weather reports optimize fertilizer and plant nutrient delivery, enabling precision farming for customers. Indonesia is one of the world's largest agricultural producers and exporters, supplying commodities like palm oil, natural rubber, cocoa, coffee, rice, and spices. Pupuk Indonesia aims to help farmers achieve the best productivity by leveraging technology and data. The company's data infrastructure was previously an on-premises data lake, which relied heavily on manual tasks. Snowflake's simplicity of use and low maintenance requirements have exceeded expectations, allowing Pupuk Indonesia to deliver more accurate insights and accelerate projects. The transition to the cloud has also democratized data within the organization, with 40 employees empowered as citizen data analysts.
Source Link: https://www.channelasia.tech/article/2093904/pupuk-indonesia-transforms-agriculture-data-with-snowflake.html
Google-backed Cropin launches AI tool to boost climate-smart agriculture
Cropin Technology, a Google-backed agritech startup, has launched 'ak?ara', a purpose-built open-source Micro Language Model (MLM) for climate-smart agriculture. The MLM aims to address the challenges faced by underserved farming communities in the Global South and remove barriers to knowledge. The model is designed to help anyone in the agricultural ecosystem build frugal and scalable AI solutions for the sector. Cropin's AI team used Google's People + AI Guidebook and discussions with Google's Responsible AI team to guide the model's design process. The first version of ak?ara will cover nine crops - paddy, wheat, maize, sorghum, barley, cotton, sugarcane, soybean, and millets - for five countries in the Indian subcontinent. Cropin's commitment to leading the tech-driven agricultural movement in the years ahead is evident, as it is also looking to collaborate with industry players and academia to accelerate its vision of a more digitally empowered, data and AI-driven agriculture landscape worldwide.
Source Link: https://www.agriculturedive.com/news/usda-commits-billions-to-conservation
USDA commits $1.5B to conservation and climate-smart agriculture
The U.S. Department of Agriculture is providing $1.5 billion to farmers for fiscal 2024 through the Regional Conservation Partnership Program. The funding, secured from the Farm Bill and Inflation Reduction Act, is available through the USDA's Regional Conservation Partnership Program, which supports conservation activities by farmers, ranchers, and landowners. The USDA is working to streamline and simplify the program after unprecedented demand last year. Project proposals can be submitted to the USDA through July 2. Last year, the USDA awarded over $1 billion for 81 Regional Conservation Partnership Program projects focusing on water, land, and climate strategies. This funding comes after an environmental activist group challenged the merit of the USDA's Environmental Quality Incentives Program, claiming that the program mostly funds projects like fencing, irrigation, and livestock waste management, which arguably do not reduce greenhouse gas emissions. A USDA spokesperson defended the report, stating that it was "flawed" and failed to account for the agency's science-based methodology when determining what should receive funding.
Sources from Agriculture Industry
- http://education.nationalgeographic.org
- http://www.mdpi.com
- http://agriculture.vermont.gov
- http://www.ams.usda.gov
- http://www.fsa.usda.gov
- http://www2.illinois.gov
- http://www.feedthefuture.gov
- https://www.nass.usda.gov
- http://www.nhb.gov.in
- http://horticultureresearch.net
- http://ashs.org
- http://www.fwi.co.uk
- http://www.agupdate.com
- http://www.statcan.gc.ca
- http://www.oecd-ilibrary.org
- http://iasri.icar.gov.in
- http://www.fao.org
- http://apeda.gov.in
- http://www.ncbi.nlm.nih.gov
- http://unctad.org
- http://www.agriculture.gov.au
Smart 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.
- Specific Tables, Graphs, Sections, and Chapters can be ordered at a discounted price.
- If applicable; On Request Volume Data will also be provided (at an Additional Cost).
| Type | Hardware (GPS Drones Sensors LED Grow Lights), Software, Services |
| Application | Precision Farming, Livestock Monitoring, Fish Farming, Smart Greenhouse |
| List of Competitors | Deere, Trimble, Raven Industries, Agjunction, Agco, Climate, AG Leader Technology, Precision Planting, SST Development Group, Topcon Positioning Systems, Semiosbio Technologies, Delaval, Boumatic |
Expand All
This chapter will help you gain GLOBAL Market Analysis of Smart Agriculture. Further deep in this chapter, you will be able to review Global Smart Agriculture Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
-
1.1 Global Smart Agriculture Market Size, Trend Analysis 2019 - 2031
-
1.2 Global Smart 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.
-
1.2.1 Global Smart Agriculture Revenue Market Size By Region
-
-
1.3 Global Smart Agriculture Market Size By Type 2019 -2031
-
1.3.1 Hardware (GPS Drones Sensors LED Grow Lights) Market Size
-
1.3.2 Software Market Size
-
1.3.3 Services Market Size
-
-
1.4 Global Smart Agriculture Market Size By Application 2019 -2031
-
1.4.1 Precision Farming Market Size
-
1.4.2 Livestock Monitoring Market Size
-
1.4.3 Fish Farming Market Size
-
1.4.4 Smart Greenhouse Market Size
-
-
1.5 Global Level Competitor Analysis (Subject to Data Availability (Private Players))
-
1.6 Executive Summary Global Market (2019 vs 2024 vs 2031)
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
-
1.6.1 Regional Market Revenue Summary 2019 vs 2024 vs 2031
-
1.6.2 Global Market Revenue Split By Type
-
1.6.3 Global Market Revenue Split By Application
-
1.6.4 Global Market Dynamics, Trends, Drivers, Restraints, Opportunities
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
-
Chapter 2 North America Market Analysis
-
2.1 North America Smart Agriculture Market Size 2019 - 2031
-
2.1.1 North America Smart Agriculture Market Size By Country 2019 - 2031
-
2.1.2 North America Smart Agriculture Market Size by Type 2019 -2031
-
2.1.2.1 North America Hardware (GPS Drones Sensors LED Grow Lights) Market Size
-
2.1.2.2 North America Software Market Size
-
2.1.2.3 North America Services Market Size
-
-
2.1.3 North America Smart Agriculture Market Size by Application 2019 -2031
-
2.1.3.1 North America Precision Farming Market Size
-
2.1.3.2 North America Livestock Monitoring Market Size
-
2.1.3.3 North America Fish Farming Market Size
-
2.1.3.4 North America Smart Greenhouse Market Size
-
-
Chapter 3 Europe Market Analysis
-
3.1 Europe Smart Agriculture Market Size 2019 - 2031
-
3.1.1 Europe Smart Agriculture Market Size By Country 2019 - 2031
-
3.1.2 Europe Smart Agriculture Market Size by Type 2019 -2031
-
3.1.2.1 Europe Hardware (GPS Drones Sensors LED Grow Lights) Market Size
-
3.1.2.2 Europe Software Market Size
-
3.1.2.3 Europe Services Market Size
-
-
3.1.3 Europe Smart Agriculture Market Size by Application 2019 -2031
-
3.1.3.1 Europe Precision Farming Market Size
-
3.1.3.2 Europe Livestock Monitoring Market Size
-
3.1.3.3 Europe Fish Farming Market Size
-
3.1.3.4 Europe Smart Greenhouse Market Size
-
-
Chapter 4 Asia Pacific Market Analysis
-
4.1 Asia Pacific Smart Agriculture Market Size 2019 - 2031
-
4.1.1 Asia Pacific Smart Agriculture Market Size By Country 2019 - 2031
-
4.1.2 Asia Pacific Smart Agriculture Market Size by Type 2019 -2031
-
4.1.2.1 Asia Pacific Hardware (GPS Drones Sensors LED Grow Lights) Market Size
-
4.1.2.2 Asia Pacific Software Market Size
-
4.1.2.3 Asia Pacific Services Market Size
-
-
4.1.3 Asia Pacific Smart Agriculture Market Size by Application 2019 -2031
-
4.1.3.1 Asia Pacific Precision Farming Market Size
-
4.1.3.2 Asia Pacific Livestock Monitoring Market Size
-
4.1.3.3 Asia Pacific Fish Farming Market Size
-
4.1.3.4 Asia Pacific Smart Greenhouse Market Size
-
-
Chapter 5 South America Market Analysis
-
5.1 South America Smart Agriculture Market Size 2019 - 2031
-
5.1.1 South America Smart Agriculture Market Size By Country 2019 - 2031
-
5.1.2 South America Smart Agriculture Market Size by Type 2019 -2031
-
5.1.2.1 South America Hardware (GPS Drones Sensors LED Grow Lights) Market Size
-
5.1.2.2 South America Software Market Size
-
5.1.2.3 South America Services Market Size
-
-
5.1.3 South America Smart Agriculture Market Size by Application 2019 -2031
-
5.1.3.1 South America Precision Farming Market Size
-
5.1.3.2 South America Livestock Monitoring Market Size
-
5.1.3.3 South America Fish Farming Market Size
-
5.1.3.4 South America Smart Greenhouse Market Size
-
-
Chapter 6 Middle East and Africa Market Analysis
-
6.1 Middle East and Africa Smart Agriculture Market Size 2019 - 2031
-
6.1.1 Middle East and Africa Smart Agriculture Market Size By Country 2019 - 2031
-
6.1.2 Middle East and Africa Smart Agriculture Market Size by Type 2019 -2031
-
6.1.2.1 Middle East and Africa Hardware (GPS Drones Sensors LED Grow Lights) Market Size
-
6.1.2.2 Middle East and Africa Software Market Size
-
6.1.2.3 Middle East and Africa Services Market Size
-
-
6.1.3 Middle East and Africa Smart Agriculture Market Size by Application 2019 -2031
-
6.1.3.1 middle_east_and_africa_title} Precision Farming Market Size
-
6.1.3.2 middle_east_and_africa_title} Livestock Monitoring Market Size
-
6.1.3.3 middle_east_and_africa_title} Fish Farming Market Size
-
6.1.3.4 middle_east_and_africa_title} Smart Greenhouse Market Size
-
-
Only Available with Corporate User License
Chapter 7 Top 10 Countries Analysis (Only Available with Corporate User License)
-
7.1 Country 1 Market Analysis
-
7.1.1 Country 1Smart Agriculture Market Size by Type 2019 -2031
-
7.1.2 Country 1Smart Agriculture Market Size by Application 2019 -2031
-
-
7.2 Country 2 Market Analysis
-
7.2.1 Segmentation Analysis will be provided as shown for Country 1
-
-
7.3 Country 3 Market Analysis
-
7.3.1 Segmentation Analysis will be provided as shown for Country 1
-
-
7.4 Country 4 Market Analysis
-
7.4.1 Segmentation Analysis will be provided as shown for Country 1
-
-
7.5 Country 5 Market Analysis
-
7.5.1 Segmentation Analysis will be provided as shown for Country 1
-
-
7.6 Country 6 Market Analysis
-
7.6.1 Segmentation Analysis will be provided as shown for Country 1
-
-
7.7 Country 7 Market Analysis
-
7.7.1 Segmentation Analysis will be provided as shown for Country 1
-
-
7.8 Country 8 Market Analysis
-
7.8.1 Segmentation Analysis will be provided as shown for Country 1
-
-
7.9 Country 9 Market Analysis
-
7.9.1 Segmentation Analysis will be provided as shown for Country 1
-
-
7.10 Country 10 Market Analysis
-
7.10.1 Segmentation Analysis will be provided as shown for Country 1
-
Competitor's Market Share and Revenue (Subject to Data Availability for Private Players)
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
-
8.1 Top Competitors Analysis
-
8.1.1 Top Players Ranking 2022
-
8.1.2 Global Smart Agriculture Market Revenue and Share by Manufacturers (2019-2023)
(Subject to Data Availability (Private Players))
-
8.1.3 Industry Mergers and Acquisition Analysis
-
8.1.4 New Product Launch Analysis
-
-
8.2 Company Profile (Data Subject to Availability)
-
8.2.1 Deere
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
-
8.2.1.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
-
8.2.1.2 Business Overview
-
8.2.1.3 Financials (Subject to data availability)
-
8.2.1.4 Product Types Specification
-
8.2.1.5 Business Strategy
-
8.2.1.6 S.W.O.TAnalysis
-
-
8.2.2 Trimble
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
-
8.2.2.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
-
8.2.2.2 Business Overview
-
8.2.2.3 Financials (Subject to data availability)
-
8.2.2.4 Product Types Specification
-
8.2.2.5 Business Strategy
-
8.2.2.6 S.W.O.TAnalysis
-
-
8.2.3 Raven Industries
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
-
8.2.3.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
-
8.2.3.2 Business Overview
-
8.2.3.3 Financials (Subject to data availability)
-
8.2.3.4 Product Types Specification
-
8.2.3.5 Business Strategy
-
8.2.3.6 S.W.O.TAnalysis
-
-
8.2.4 Agjunction
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
-
8.2.4.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
-
8.2.4.2 Business Overview
-
8.2.4.3 Financials (Subject to data availability)
-
8.2.4.4 Product Types Specification
-
8.2.4.5 Business Strategy
-
8.2.4.6 S.W.O.TAnalysis
-
-
8.2.5 Agco
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
-
8.2.5.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
-
8.2.5.2 Business Overview
-
8.2.5.3 Financials (Subject to data availability)
-
8.2.5.4 Product Types Specification
-
8.2.5.5 Business Strategy
-
8.2.5.6 S.W.O.TAnalysis
-
-
8.2.6 Climate
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
-
8.2.6.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
-
8.2.6.2 Business Overview
-
8.2.6.3 Financials (Subject to data availability)
-
8.2.6.4 Product Types Specification
-
8.2.6.5 Business Strategy
-
8.2.6.6 S.W.O.TAnalysis
-
-
8.2.7 AG Leader Technology
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
-
8.2.7.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
-
8.2.7.2 Business Overview
-
8.2.7.3 Financials (Subject to data availability)
-
8.2.7.4 Product Types Specification
-
8.2.7.5 Business Strategy
-
8.2.7.6 S.W.O.TAnalysis
-
-
8.2.8 Precision Planting
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
-
8.2.8.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
-
8.2.8.2 Business Overview
-
8.2.8.3 Financials (Subject to data availability)
-
8.2.8.4 Product Types Specification
-
8.2.8.5 Business Strategy
-
8.2.8.6 S.W.O.TAnalysis
-
-
8.2.9 SST Development Group
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
-
8.2.9.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
-
8.2.9.2 Business Overview
-
8.2.9.3 Financials (Subject to data availability)
-
8.2.9.4 Product Types Specification
-
8.2.9.5 Business Strategy
-
8.2.9.6 S.W.O.TAnalysis
-
-
8.2.10 Topcon Positioning Systems
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
-
8.2.10.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
-
8.2.10.2 Business Overview
-
8.2.10.3 Financials (Subject to data availability)
-
8.2.10.4 Product Types Specification
-
8.2.10.5 Business Strategy
-
8.2.10.6 S.W.O.TAnalysis
-
-
8.2.11 Semiosbio Technologies
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
-
8.2.11.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
-
8.2.11.2 Business Overview
-
8.2.11.3 Financials (Subject to data availability)
-
8.2.11.4 Product Types Specification
-
8.2.11.5 Business Strategy
-
8.2.11.6 S.W.O.TAnalysis
-
-
8.2.12 Delaval
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
-
8.2.12.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
-
8.2.12.2 Business Overview
-
8.2.12.3 Financials (Subject to data availability)
-
8.2.12.4 Product Types Specification
-
8.2.12.5 Business Strategy
-
8.2.12.6 S.W.O.TAnalysis
-
-
8.2.13 Boumatic
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
-
8.2.13.1 Company Basic Information, Manufacturing Base, Sales Area, and Competitors
-
8.2.13.2 Business Overview
-
8.2.13.3 Financials (Subject to data availability)
-
8.2.13.4 Product Types Specification
-
8.2.13.5 Business Strategy
-
8.2.13.6 S.W.O.TAnalysis
-
-
Chapter 9 Qualitative Analysis (Subject to Data Availability)
-
9.1 Market Drivers
-
9.2 Market Trends
-
9.3 Market Restraints
-
9.4 Market Opportunity
-
9.5 Product Life Cycle (Subject to Data Availability)
-
9.6 Industrial Chain Analysis (Subject to Data Availability)
-
9.6.1 Industry Chain Analysis
-
9.6.2 Manufacturing Cost Analysis
-
9.6.3 Consumer Preference Analysis
-
9.6.4 Supply Side Analysis
-
9.6.4.1 Raw Material Analysis
-
9.6.4.2 Raw Material Procurement Analysis
-
9.6.4.3 Raw Material Price Trend Analysis
-
-
-
9.7 Market Attractiveness Analysis
-
9.8 PESTEL Analysis
-
9.9 Porter’s Five Forces Analysis
-
9.10 Patent Analysis (Subject to Data Availability)
-
9.11 ESG Analysis
-
9.12 Technological Road Map
Segmentation Type Analysis 2019 -2031, will provide market size split by Type. 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 Type Analysis 2019 -2031
-
10.1 Hardware (GPS Drones Sensors LED Grow Lights)
-
10.1.1 Global Smart Agriculture Revenue Market Size and Share by Hardware (GPS Drones Sensors LED Grow Lights) 2019 -2031
-
-
10.2 Software
-
10.2.1 Global Smart Agriculture Revenue Market Size and Share by Software 2019 -2031
-
-
10.3 Services
-
10.3.1 Global Smart Agriculture Revenue Market Size and Share by Services 2019 -2031
-
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 Application Analysis 2019 -2031
-
11.1 Precision Farming
-
11.1.1 Global Smart Agriculture Revenue Market Size and Share by Precision Farming 2019 - 2031
-
-
11.2 Livestock Monitoring
-
11.2.1 Global Smart Agriculture Revenue Market Size and Share by Livestock Monitoring 2019 - 2031
-
-
11.3 Fish Farming
-
11.3.1 Global Smart Agriculture Revenue Market Size and Share by Fish Farming 2019 - 2031
-
-
11.4 Smart Greenhouse
-
11.4.1 Global Smart Agriculture Revenue Market Size and Share by Smart Greenhouse 2019 - 2031
-
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global Smart Agriculture market
Chapter 12 Research Findings
-
12.1 Key Takeaways
-
12.2 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.
-
12.3 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
Market Timeline 2019 till 2031, Market Size, Revenue/Volume Share, Forecast and CAGR, Competitor Analysis, Regional Analysis, Country Analysis, Segment Analysis, Market Trends, Drivers, Opportunities, Restraints, ESG Analysis, Porters Analysis, PESTEL Analysis, Market Attractiveness, Patent Analysis, Technological Trend, SWOT Analysis, COVID-19 Analysis, Consumer Behavior Analysis, etc.
Market Timeline 2019 till 2031, Market Size, Revenue/Volume Share, Forecast and CAGR, Competitor Analysis, Regional Analysis, Country Analysis, Segment Analysis, Market Trends, Drivers, Opportunities, Restraints, ESG Analysis, Porters Analysis, PESTEL Analysis, Market Attractiveness, Patent Analysis, Technological Trend, SWOT Analysis, COVID-19 Analysis, Consumer Behavior Analysis, etc.
Research Methodology Implemented by Nisha Deore and Team
- 1.1 Smart Agriculture Market Report 2024 Research Methodology
- 1.2 Systematic Research Approach
- 1.2.1 Primary Research for Smart 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 Smart Agriculture Market
- 1.2.1.5 Breakdown of Primaries
- 1.2.2 Secondary Research for Smart 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 Smart 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 Smart Agriculture Market
Key Questions Answered By Smart Agriculture Market Report 2024
| Why Hardware (GPS Drones Sensors LED Grow Lights) have a significant impact on Smart Agriculture market? |
| What are the key factors affecting the Hardware (GPS Drones Sensors LED Grow Lights) and Software of Smart Agriculture Market? |
| What is the CAGR/Growth Rate of Precision Farming during the forecast period? |
| By type, which segment accounted for largest share of the global Smart Agriculture Market? |
| Which region is expected to dominate the global Smart Agriculture Market within the forecast period? |
| Segmentation Level Customization |
|
| Global level Data Customization |
|
| Region level Data Customization |
|
| Country level Data Customization |
|
| Company Level |
|
| Additional Data Analysis |
|
| Additional Qualitative Data |
|
| Additional Quantitative Data |
|
| Service Level Customization |
|
Report Format Alteration |
|
