Global Agriculture Analytics Market Research Report: Information By Component (Solution and Services), By Farm Size (Large Farms and Small and Medium-Sized Farms), By Deployment Modes (Cloud and On-Premises), By Application (Farm Analytics, Livestock Analytics, Aquaculture Analytics and Others (Orchid, Forestry, and Horticulture)) and Region (North America, Europe, Asia-Pacific, Middle East & Africa and South America) - Forecast till 2027

Agriculture Analytics Market Overview:

Global Agriculture Analytics Market is projected to reach USD 1.5 Billion by 2027, registering a CAGR of 11.71% during the forecast period. In this report, Market Research Future (MRFR) includes the segmentation and dynamics of the agriculture analytics market to offer a better glimpse into the coming years.

Global Agriculture Analytics Market has been segmented based on Component, Farm Size, Deployment, Application, and Region.

Competitive Analysis:

The Key Players of the Global Agriculture Analytics Market are 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), Proagrica (UK), PrecisionHawk (US), RESSON (Canada), Stesalit Systems (India), AgVue Technologies (US), Fasal (India), AGEYE Technologies (US), HelioPas AI (Baden-Württemberg), OneSoil (Belarus), and Root AI (US)

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Segments:

• Based on component, the global agriculture analytics market has been segmented into solution and services. The solution segment is expected to account for a significant market share over the projected period. The increasing need for agribusiness to analyze critical farm-related data for better decision-making contributes to the growth of the solution segment in the global market during the forecast period.
• Based on farm size, the global agriculture analytics market has been segmented into large farms and small and medium-sized farms. The large farms segment accounted for the larger market share and is expected to hold the higher CAGR during the forecast period. The adoption of agriculture analytics solutions in large farms is higher than in small and medium-sized farms due to the affordability. Additionally, large farms usually have the capital to invest in innovative technologies that allow them to improve a well-equipped next-generation agricultural infrastructure.
• Based on deployment, the global agriculture analytics market has been segmented into cloud and on-premises. The cloud-based segment is projected to witness the higher CAGR during the study period. Cloud-based software solutions do not require users to purchase a server to run the analytics techniques. Cloud computing focuses on shared networks, servers, and storage devices, eliminating the high costs incurred in maintaining hardware and software infrastructure.
• Based on application, the agriculture analytics market has been segmented into farm analytics, livestock analytics, aquaculture analytics, and others. The others segment is further sub-divided into orchid, forestry, and horticulture. The livestock analytics segment is expected to hold the largest share during the forecast period. Agriculture analytics solutions aid livestock producers in making better decisions by acquiring real-time information about animals and improving various livestock management processes.

Regional Analysis:

The regional analysis for the global agriculture analytics market has been done for North America, Europe, Asia-Pacific, and the Middle East & Africa, and South America. The market in North America accounted for the largest market share in 2019, and it is expected to register strong growth during the forecast period.

The market in Asia-Pacific is expected to register the highest CAGR during the forecast period. This growth can be attributed to the growing adoption of agriculture analytics technology among the various verticals.

Table of Contents

1. Executive Summary

1.1. Market Attractiveness Analysis

1.1.1. Global Agriculture Analytics Market, By Component

1.1.2. Global Agriculture Analytics Market, By Application

1.1.3. Global Agriculture Analytics Market, By Farm Size

1.1.4. Global Agriculture Analytics Market, By Deployment Mode

1.1.5. Global Agriculture Analytics Market, By Region

2. Market Introduction

2.1. Definition

2.2. Scope of The Study

2.3. Market Structure

Continued….

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