Global Agriculture Analytics Market Size Was Valued at USD 1.14 Billion In 2022 And Is Projected to Reach USD 2.81 Billion By 2030, Growing at A CAGR of 11.9% From 2023 To 2030.

Agricultural analytics is defined as the use of technologies such as IoT, big data, and other analytical tools in the agricultural sector. Smart farming is part of agricultural analytics and a breakthrough application of science and technology across agriculture. It is used widely to understand different aspects of agriculture such as irrigation and cultivation. Various technologies such as IoT, remote sensing application control, GPS, etc., are used in agricultural analytics. Agricultural analytics is designed to improve several farming techniques, using complementary technologies such as drones, satellites, and others to make better decisions. Increased food consumption and the need for fertile land are likely to boost demand. The great potential of urban farming, where people grow vegetables in their gardens and at home, could boost the growth of the market.

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The Report Will Include A Major Chapter

·         Patent Analysis

·         Regulatory Framework

·         Technology Roadmap

·         BCG Matrix

·         Heat Map Analysis

·         Price Trend Analysis

·         Investment Analysis

 

Market Trend Analysis:    

Urban farming has become a popular trend around the world in recent decades in terms of growing food both on rooftop gardens & community plots. From providing locally grown crops to urban residents to offering various health benefits, urban farming has many advantages. By monitoring the crops closely, consumers can adhere to the existing government regulations and avoid the overuse of any chemicals in urban farming. This further leads to increased profitability as crops don’t get destroyed by any sort of chemicals, insects, or weeds. With the growing digitalization, the rapid adoption of modern farm practices is highly adopted, which boosts the market growth of agriculture analytics.

Scope of the Report:

The latest report on the Agriculture Analytics Market provides a detailed analysis of the market for the years 2023 to 2030. It presents a comprehensive overview of the global Agriculture Analytics Market industry, incorporating all key industry trends, market dynamics, competitive landscape, and market analysis tools such as Porter's five forces analysis, Industry Value chain analysis, and PESTEL analysis of the Agriculture Analytics Market. Moreover, the research covers crucial chapters such as Patent Analysis, Regulatory Framework, Technology Roadmap, BCG Matrix, Heat Map Analysis, Price Trend Analysis, and Investment Analysis which help to grasp the market direction and development in the present and forthcoming years.

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Top Key Players Covered In The Agriculture Analytics Market:

Deere & Company (US),IBM (US),SAP SE (Germany),Trimble(US),Monsanto (US),Oracle (US),Accenture (Ireland),Iteris (US),Taranis (Israel),Agribotix (US),Agrivi (UK),DTN (US),aWhere (US),Conservis Corporation (US),DeLaval (Sweden),FBN (US),Farmers Edge (US),GEOSYS (US),Granular (US),Gro Intelligence (US), and other major players.

Faster Payment Service (FPS) Market Segmentation:

By Component

·         Solutions

·         Services

By Deployment

·         On-Premise

·         Cloud-based

By Application

·         Farm Analytics

·         Livestock Analytics

·         Aquaculture Analytics

·         Others

For this report, Introspective Market Research has segmented the Agriculture Analytics Market based on region:

§  North America (U.S., Canada, Mexico)

§  Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)

§  Western Europe (Germany, U.K., France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)

§  Asia-Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New Zealand, Rest of APAC)

§  Middle East & Africa (Turkey, Saudi Arabia, Bahrain, Kuwait, Qatar, UAE, Israel, South Africa)

§  South America (Brazil, Argentina, Rest of SA)

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