Agriculture Analytics Market Overview
According to the United Nations, by 2050, the world population is anticipated to achieve 9.8 billion, with roughly eighty three million humans obtaining added to the globe population every year. The demand and consumption of crops for food, feed, and fuel also are expected to extend speedily. This demand for food products has been growing for several years, which encourages farmers and growers to increase their crop production within the stipulated quantity of time. To cater to those rising demands, technology suppliers ar arising with innovative solutions for the agriculture trade to extend crop production and gain.
The use of IoT devices for observance favorable climate for farming, crop, and soil, and managing euthanasia, dairy, and alternative modern practices has generated large information that the farmers leverage to redefine their offerings to golden standards. moreover, a rise within the range of innovative solutions, due to advancements within the field of IoT, big data, and cloud computing, is making a positive impact on the expansion of the market. Thus, rising populations with high demands for impermanent food products and therefore the growing focus of farmers on data-driven decision-making techniques and therefore the implementation of advanced analytics solutions drive the expansion of the agriculture analytics market.
Businesses and governments involved in this agro-tech industry are poised to extend their efforts in framing effective policies that would support farmers in enhancing crop production. attributable to this, the trend of the data-driven approach within the industrial sector is probably going to be followed by farmers. Thus, farmers are that specialize in using modernized techniques to predict and analyze farm data. Applications like precision farming, autonomous equipment usage, improved cold chain management, and data-driven financing and insurance have started showing impressive results victimization analytics solutions deployed on the productive land. Thus, an increase in population with high demands for improvised food products encourages farmers to adopt smart solutions to provide timely results to the consumers.
The covid-19 Impact on Agriculture Analytics Market:
Like several different industries, COVID-19 badly knocked the electronic and semiconductor trade. This new event has compact nearly 230 countries in exactly a couple of weeks, leading to the forced conclusion of producing and transportation activities at intervals and across the countries. This has directly affected the expansion of the sector. It's calculable that COVID-19 to depart over USD thirty billion impacts on the physics and semiconductor trade. The arena is majorly affected thanks to transport restrictions on major physics and semiconductor staple suppliers. However, the rising want for semiconductors in many industries can supply fast market recovery over the longer-term amount.
Agriculture Analytics Market Segment Overview
By component, the agriculture analytics market has been divided into solution and services. The solutions section is probably going to capture a serious market share over the forecast period thanks to want for analysis of enormous information sets for optimum decision making. Identification of critical parameters still as correlation of enormous swathes of data can encourage the segment growth.
By farm size, the agriculture analytics market has been segmented into large farms and small and medium-sized farms. large farms are likely to capture a huge market share as a result of its ability to scale its cultivation and huge demand for food among lots. Agriculture analytics can assist giant farms in managing information for higher yields.
By Deployment modes, the agriculture analytics market has been segmented into cloud and on-premises. The on-premises mode is predicted to capture a market share over the forecast period due to its procedural by large farm owners.
By Application, Major applications of the agriculture analytics market are segmented into farm analytics, livestock analytics, aquaculture analytics, and others. moreover, the others section is divided into horticulture, forestry, and livestock. livestock analytics includes observation of animals and chase of their data to confirm quality from products.
Market Analysis, Insights and Forecast – By Component
· Solution,
· Services
Market Analysis, Insights and Forecast – By Farm Size
· Small,
· Medium-Sized,
· Large.
Market Analysis, Insights and Forecast – By Deployment Modes
· Cloud,
· On-Premises,
Market Analysis, Insights and Forecast – By Application Areas
· Farm Analytics,
· Livestock Analytics,
· Aquaculture Analytics,
· Others (Orchid, Forestry, And Horticulture)
Agriculture Analytics Market Regional Overview
Region-wise, in terms of regions,North America is projected to hold the major portion for the agricultural analytics market. Though, Asia Pacific is anticipated to grow at the quickest CAGR over the forecast period from 2021-2028. Well-built industries, huge investments in are and development, and also the adoption of advanced technology area unit a number of the factors witnessing the expansion of the market in North America.
Asia Pacific is projected to grow at the fastest CAGR owing to growing medical care, increasing adoption of IoT, analytics, and AI technology for period observance.
Agriculture Analytics Market, By Geography
· North America (US & Canada)
· Europe (UK, Germany, France, Italy, Spain, & Rest of Europe)
· Asia-Pacific (Japan, China, India, Australia, & South Korea, & Rest of Asia-Pacific)
· LAMEA (Brazil, Saudi Arabia, UAE & Rest of LAMEA)
Agriculture Analytics Market Competitor overview
Some key developments and strategies adopted by manufacturers in the Agriculture Analytics are highlighted below.
· In 2020, IBM released novel AI-powered technologies to help the health and research community accelerate the invention of medical insights and treatments for COVID-19.
Agriculture Analytics Market, Key Players
· Granular
· IBM
· Proagrica
· Gro Intelligence
· GEOSYS
· Stesalit Systems
· PrecisionHawk
· Root AI
· Taranis
· Agrivi
· DeLaval
· Oracle
· AgVue Technologies
· Accenture
· AGEYE Technologies
· OneSoil
· DTN
· FBN
· Farmers Edge
· aWhere
· Iteris
· SAP SE
According to the United Nations, by 2050, the world population is anticipated to achieve 9.8 billion, with roughly eighty three million humans obtaining added to the globe population every year. The demand and consumption of crops for food, feed, and fuel also are expected to extend speedily. This demand for food products has been growing for several years, which encourages farmers and growers to increase their crop production within the stipulated quantity of time. To cater to those rising demands, technology suppliers ar arising with innovative solutions for the agriculture trade to extend crop production and gain.
The use of IoT devices for observance favorable climate for farming, crop, and soil, and managing euthanasia, dairy, and alternative modern practices has generated large information that the farmers leverage to redefine their offerings to golden standards. moreover, a rise within the range of innovative solutions, due to advancements within the field of IoT, big data, and cloud computing, is making a positive impact on the expansion of the market. Thus, rising populations with high demands for impermanent food products and therefore the growing focus of farmers on data-driven decision-making techniques and therefore the implementation of advanced analytics solutions drive the expansion of the agriculture analytics market.
Businesses and governments involved in this agro-tech industry are poised to extend their efforts in framing effective policies that would support farmers in enhancing crop production. attributable to this, the trend of the data-driven approach within the industrial sector is probably going to be followed by farmers. Thus, farmers are that specialize in using modernized techniques to predict and analyze farm data. Applications like precision farming, autonomous equipment usage, improved cold chain management, and data-driven financing and insurance have started showing impressive results victimization analytics solutions deployed on the productive land. Thus, an increase in population with high demands for improvised food products encourages farmers to adopt smart solutions to provide timely results to the consumers.
| Report Metric | Details |
| Market size available for years | 2023–2030 |
| Base year considered | 2023 |
| Forecast period | 2024–2030 |
| Forecast unit | Value (USD Million) |
| Segments covered | Type, Farm Size, Deployment Method, Industry Vertical, and Region |
| Regions covered | North America (the U.S. and Canada), Europe (UK, Germany, France, Italy, Spain, Russia, Rest of Europe), Asia-Pacific (China, India, Japan, Australia, South East Asia, Rest of Asia Pacific), Latin America and the Middle East and Africa (Brazil, Saudi Arabia, UAE, Rest of LAMEA) |
| Companies covered | Granular ,IBM ,Proagrica ,Gro Intelligence ,GEOSYS ,Stesalit Systems ,PrecisionHawk , Root AI ,Taranis ,Agrivi , DeLaval , Oracle,AgVue Technologies,Accenture,AGEYE Technologies , OneSoil , DTN , FBN , Farmers Edge , aWhere , Iteris , SAP SE . |
The covid-19 Impact on Agriculture Analytics Market:
Like several different industries, COVID-19 badly knocked the electronic and semiconductor trade. This new event has compact nearly 230 countries in exactly a couple of weeks, leading to the forced conclusion of producing and transportation activities at intervals and across the countries. This has directly affected the expansion of the sector. It's calculable that COVID-19 to depart over USD thirty billion impacts on the physics and semiconductor trade. The arena is majorly affected thanks to transport restrictions on major physics and semiconductor staple suppliers. However, the rising want for semiconductors in many industries can supply fast market recovery over the longer-term amount.
Agriculture Analytics Market Segment Overview
By component, the agriculture analytics market has been divided into solution and services. The solutions section is probably going to capture a serious market share over the forecast period thanks to want for analysis of enormous information sets for optimum decision making. Identification of critical parameters still as correlation of enormous swathes of data can encourage the segment growth.
By farm size, the agriculture analytics market has been segmented into large farms and small and medium-sized farms. large farms are likely to capture a huge market share as a result of its ability to scale its cultivation and huge demand for food among lots. Agriculture analytics can assist giant farms in managing information for higher yields.
By Deployment modes, the agriculture analytics market has been segmented into cloud and on-premises. The on-premises mode is predicted to capture a market share over the forecast period due to its procedural by large farm owners.
By Application, Major applications of the agriculture analytics market are segmented into farm analytics, livestock analytics, aquaculture analytics, and others. moreover, the others section is divided into horticulture, forestry, and livestock. livestock analytics includes observation of animals and chase of their data to confirm quality from products.
Market Analysis, Insights and Forecast – By Component
· Solution,
· Services
Market Analysis, Insights and Forecast – By Farm Size
· Small,
· Medium-Sized,
· Large.
Market Analysis, Insights and Forecast – By Deployment Modes
· Cloud,
· On-Premises,
Market Analysis, Insights and Forecast – By Application Areas
· Farm Analytics,
· Livestock Analytics,
· Aquaculture Analytics,
· Others (Orchid, Forestry, And Horticulture)
Agriculture Analytics Market Regional Overview
Region-wise, in terms of regions,North America is projected to hold the major portion for the agricultural analytics market. Though, Asia Pacific is anticipated to grow at the quickest CAGR over the forecast period from 2021-2028. Well-built industries, huge investments in are and development, and also the adoption of advanced technology area unit a number of the factors witnessing the expansion of the market in North America.
Asia Pacific is projected to grow at the fastest CAGR owing to growing medical care, increasing adoption of IoT, analytics, and AI technology for period observance.
Agriculture Analytics Market, By Geography
· North America (US & Canada)
· Europe (UK, Germany, France, Italy, Spain, & Rest of Europe)
· Asia-Pacific (Japan, China, India, Australia, & South Korea, & Rest of Asia-Pacific)
· LAMEA (Brazil, Saudi Arabia, UAE & Rest of LAMEA)
Agriculture Analytics Market Competitor overview
Some key developments and strategies adopted by manufacturers in the Agriculture Analytics are highlighted below.
· In 2020, IBM released novel AI-powered technologies to help the health and research community accelerate the invention of medical insights and treatments for COVID-19.
Agriculture Analytics Market, Key Players
· Granular
· IBM
· Proagrica
· Gro Intelligence
· GEOSYS
· Stesalit Systems
· PrecisionHawk
· Root AI
· Taranis
· Agrivi
· DeLaval
· Oracle
· AgVue Technologies
· Accenture
· AGEYE Technologies
· OneSoil
· DTN
· FBN
· Farmers Edge
· aWhere
· Iteris
· SAP SE
Frequently Asked Questions (FAQ) :
Q1. What is the total CAGR expected to be recorded for the Agriculture Analytics market during the forecast period?
Agriculture Analytics market is expected to record a CAGR of ~ 12.1% during the forecast period.
Q2. Which segment is projected to hold the largest share in the Agriculture Analytics Market?
Large Enterprises segment is projected to hold the largest share in the Agriculture Analytics Market.
Q3. What are the driving factors for the Agriculture Analytics market?
The growing demand for replacing the standard anti-fraud technology tools with advanced analytics is key factors that boost the growth of the Agriculture Analytics market progressively.
Q4. Which Segments are covered in the Agriculture Analytics market report?
Type ,Farm Size, Deployment Method, Industry Vertical, and Region, these segments are covered in the Agriculture Analytics market report
Q5. Which are the prominent players offering Agriculture Analytics?
Granular ,IBM ,Proagrica ,Gro Intelligence ,GEOSYS ,Stesalit Systems ,PrecisionHawk , Root AI ,Taranis ,Agrivi , DeLaval , Oracle , AgVue Technologies ,Accenture ,AGEYE Technologies ,OneSoil , DTN , FBN , Farmers Edge , aWhere , Iteris , SAP SE .
Agriculture Analytics Market Study Global Market Analysis, Insights and Forecast, 2020-2027
1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
2. Executive Summary
3. Market Dynamics
- 3.1. Market Drivers
- 3.2. Market Restraints
- 3.3. Market Opportunities
4. Key Insights
- 4.1. Key Emerging Trends – For Major Countries
- 4.2. Latest Technological Advancement
- 4.3. Regulatory Landscape
- 4.4. Industry SWOT Analysis
- 4.5. Porters Five Forces Analysis
5. Global Agriculture Analytics Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 5.1. Key Findings / Summary
- 5.2. Market Analysis, Insights and Forecast – By Component
- 5.2.1. Farm Size,
- 5.2.2. Services
- 5.3. Market Analysis, Insights and Forecast – By Farm Size
- 5.3.1. Small,
- 5.3.2. Medium-Sized,
- 5.3.3. Large.
- 5.4. Market Analysis, Insights and Forecast – By Deployment Modes
- 5.4.1. Cloud,
- 5.4.2. On-Premises,
- 5.5. Market Analysis, Insights and Forecast – By Application Areas
- 5.5.1. Farm Analytics,
- 5.5.2. Livestock Analytics,
- 5.5.3. Aquaculture Analytics,
- 5.5.4. Others (Orchid, Forestry, And Horticulture
- 5.6. Market Analysis, Insights and Forecast – By Region
- 5.6.1. North America
- 5.6.2. Europe
- 5.6.3. Asia Pacific
- 5.6.4. Latin America, Middle East, and Africa
6. North America Agriculture Analytics Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 6.1. Key Findings / Summary
- 6.2. Market Analysis, Insights and Forecast – By Component
- 6.2.1. Farm Size,
- 6.2.2. Services
- 6.3. Market Analysis, Insights and Forecast – By Farm Size
- 6.3.1. Small,
- 6.3.2. Medium-Sized,
- 6.3.3. Large.
- 6.4. Market Analysis, Insights and Forecast – By Deployment Modes
- 6.4.1. Cloud,
- 6.4.2. On-Premises,
- 6.5. Market Analysis, Insights and Forecast – By Application Areas
- 6.5.1. Farm Analytics,
- 6.5.2. Livestock Analytics,
- 6.5.3. Aquaculture Analytics,
- 6.5.4. Others (Orchid, Forestry, And Horticulture
- 6.6. Market Analysis, Insights and Forecast – By Country
- 6.6.1. U.S.
- 6.6.2. Canada
7. Europe Agriculture Analytics Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 7.1. Key Findings / Summary
- 7.2. Market Analysis, Insights and Forecast – By Component
- 7.2.1. Farm Size,
- 7.2.2. Services
- 7.3. Market Analysis, Insights and Forecast – By Farm Size
- 7.3.1. Small,
- 7.3.2. Medium-Sized,
- 7.3.3. Large.
- 7.4. Market Analysis, Insights and Forecast – By Deployment Modes
- 7.4.1. Cloud,
- 7.4.2. On-Premises,
- 7.5. Market Analysis, Insights and Forecast – By Application Areas
- 7.5.1. Farm Analytics,
- 7.5.2. Livestock Analytics,
- 7.5.3. Aquaculture Analytics,
- 7.5.4. Others (Orchid, Forestry, And Horticulture
- 7.6. Market Analysis, Insights and Forecast – By Country
- 7.6.1. UK
- 7.6.2. Germany
- 7.6.3. France
- 7.6.4. Italy
- 7.6.5. Spain
- 7.6.6. Russia
- 7.6.7. Rest of Europe
8. Asia Pacific Agriculture Analytics Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 8.1. Key Findings / Summary
- 8.2. Market Analysis, Insights and Forecast – By Component
- 8.2.1. Farm Size,
- 8.2.2. Services
- 8.3. Market Analysis, Insights and Forecast – By Farm Size
- 8.3.1. Small,
- 8.3.2. Medium-Sized,
- 8.3.3. Large.
- 8.4. Market Analysis, Insights and Forecast – By Deployment Modes
- 8.4.1. Cloud,
- 8.4.2. On-Premises,
- 8.5. Market Analysis, Insights and Forecast – By Application Areas
- 8.5.1. Farm Analytics,
- 8.5.2. Livestock Analytics,
- 8.5.3. Aquaculture Analytics,
- 8.5.4. Others (Orchid, Forestry, And Horticulture
- 8.6. Market Analysis, Insights and Forecast – By Country
- 8.6.1. China
- 8.6.2. India
- 8.6.3. Japan
- 8.6.4. Australia
- 8.6.5. South East Asia
- 8.6.6. Rest of Asia Pacific
9. Latin America, Middle East, and Africa Agriculture Analytics Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 9.1. Key Findings / Summary
- 9.2. Market Analysis, Insights and Forecast – By Component
- 9.2.1. Farm Size,
- 9.2.2. Services
- 9.3. Market Analysis, Insights and Forecast – By Farm Size
- 9.3.1. Small,
- 9.3.2. Medium-Sized,
- 9.3.3. Large.
- 9.4. Market Analysis, Insights and Forecast – By Deployment Modes
- 9.4.1. Cloud,
- 9.4.2. On-Premises,
- 9.5. Market Analysis, Insights and Forecast – By Application Areas
- 9.5.1. Farm Analytics,
- 9.5.2. Livestock Analytics,
- 9.5.3. Aquaculture Analytics,
- 9.5.4. Others (Orchid, Forestry, And Horticulture
- 9.6. Market Analysis, Insights and Forecast – By Country
- 9.6.1. Brazil
- 9.6.2. Saudi Arabia
- 9.6.3. UAE
- 9.6.4. Rest of LAMEA
10. Competitive Analysis
- 10.1. Company Market Share Analysis, 2018
- 10.2. Key Industry Developments
- 10.3. Company Profile
- 10.4. IBM Corporation
- 10.4.1. Business Overview
- 10.4.2. Segment 1 & Service Offering
- 10.4.3. Overall Revenue
- 10.4.4. Geographic Presence
- 10.4.5. Recent Development
- 10.5. Datameer, Inc.
- 10.6. Alteryx, Inc.
- 10.7. SiSense Inc
- 10.8. Mu Sigma
- 10.9. Looker Data Sciences, Inc.
- 10.10. SAP SE
- 10.11. SAS Institute Inc.
- 10.12. ThoughtSpot, Inc.
- 10.13. Microsoft Corporation
- 10.14. Zoho Corporation Pvt. Ltd.
- 10.15. Tableau Software, LLC.
- 10.16. Dell Inc.
- 10.17. Amazon Web Services, Inc.
Research Process
Data Library Research are conducted by industry experts who offer insight on industry structure, market segmentations technology assessment and competitive landscape (CL), and penetration, as well as on emerging trends. Their analysis is based on primary interviews (~ 80%) and secondary research (~ 20%) as well as years of professional expertise in their respective industries. Adding to this, by analysing historical trends and current market positions, our analysts predict where the market will be headed for the next five years. Furthermore, the varying trends of segment & categories geographically presented are also studied and the estimated based on the primary & secondary research.
In this particular report from the supply side Data Library Research has conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and SOFT) of the companies that active & prominent as well as the midsized organization
FIGURE 1: DLR RESEARH PROCESS
Extensive primary research was conducted to gain a deeper insight of the market and industry performance. The analysis is based on both primary and secondary research as well as years of professional expertise in the respective industries.
In addition to analysing current and historical trends, our analysts predict where the market is headed over the next five years.
It varies by segment for these categories geographically presented in the list of market tables. Speaking about this particular report we have conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and many more) of the major players active in the market.
Secondary ResearchSecondary research was mainly used to collect and identify information useful for the extensive, technical, market-oriented, and Friend’s study of the Global Extra Neutral Alcohol. It was also used to obtain key information about major players, market classification and segmentation according to the industry trends, geographical markets, and developments related to the market and technology perspectives. For this study, analysts have gathered information from various credible sources, such as annual reports, sec filings, journals, white papers, SOFT presentations, and company web sites.
Market Size EstimationBoth, top-down and bottom-up approaches were used to estimate and validate the size of the Global market and to estimate the size of various other dependent submarkets in the overall Extra Neutral Alcohol. The key players in the market were identified through secondary research and their market contributions in the respective geographies were determined through primary and secondary research.
Forecast Model
