Livestock Management to Remain Most Lucrative Segment through the Growth Years

Global Agriculture analytics market is likely to sail as a highly lucrative market with promising CAGR valuation. Across the globe agricultural activities are undergoing a face lift as novel integration of technological innovations as well as machinery advances and production upscale continue to transform agriculture.

To ensure well informed and growth intensive agricultural practices to support a burgeoning population, besides manning other challenges such as climatic conditions and pest infestation have encouraged growers to bank upon high end analytics propelled by big data, AI and ML to comply with growing alterations.

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The major players of the global agriculture analytics market are: Deere & Company, IBM, SAP SE, Monsanto Company, Oracle, Trimble, Accenture, Iteris, Agribotix, Agrivi, DTN, Taranis, aWhere Inc., Conservis Corporation, Farmer's Business Network, DeLaval, Farmers Edge, GEOSYS, Granular, and more. The agriculture analytics solution market is fragmented with the existence of well-known global and domestic players across the globe.

Relentless pressure upon farmers to maintain steady yield despite declining skilled workforce have marked a paradigm shift as farmers integrate big data analytics. These crucial market-oriented inputs have been sourced from a new research report compiled by Adroit Market Research, aimed at unraveling novel developments and gauging into their efficacy to trigger hefty ROI through the estimated growth years. 

Agriculture analytics comprise of highly advanced solutions that assist farmers and growers with real time insights on plant and crop conditions, besides offering predictive maintenance and accurate yield projections. Based on such intense information portfolio, infallible agricultural initiatives become feasible.

The highest potential and mettle for profit maximization is adequately cited in livestock management segment of agriculture analytics market. Humongous data pertaining to animal well-being and overall status are subject to critical analytics to infer crucial insights. Therefore, livestock management segment is one of the most lucrative businesses in agriculture analytics space.

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Segment Overview of Global Agriculture Analytics Market

Component Overview, 2018-2028 (USD Billion)

Solution
Services

Deployment Overview, 2018-2028 (USD Billion)

On-premise
Cloud

Application Overview, 2018-2028 (USD Billion)

Aquaculture Analytics
Farm Analytics
Livestock Analytics
Others

Regional Overview, 2018-2025 (USD Billion)

North America
U.S.
Canada
Europe
UK
Germany
France
Rest of Europe
Asia Pacific
China
Japan
India
Rest of Asia-Pacific
Middle East and Africa
UAE
South Africa
Rest of Middle East and Africa
South America
Brazil
Rest of South America

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What does the report include?

The study on the global agriculture analytics market includes qualitative factors such as drivers, restraints, and opportunities
The study covers the competitive landscape of existing/prospective players in the agriculture analytics solution industry and their strategic initiatives for the product development
The study covers a qualitative and quantitative analysis of the market segmented based on components, deployment, and application. Moreover, the study provides similar information for the key geographies.
Actual market sizes and forecasts have been provided for all the above-mentioned segments.

Who should buy this report?

This study is suitable for industry participants and stakeholders in the global agriculture analytics market. The report will benefit:
Every stakeholder is involved in the agriculture analytics market.
Managers within the Tech companies looking to publish recent and forecasted statistics about the global agriculture analytics market.
Government organizations, regulatory authorities, policymakers, and organizations looking for investments in trends of the global agriculture analytics market.
Analysts, researchers, educators, strategy managers, and academic institutions looking for insights into the market to determine future strategies.

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Major Points from Table of Contents:

Chapter 1    Introduction

                    1.1    Introduction to the Study

                    1.2    Market Definition and Scope

                    1.3    Units, Currency, Conversions, and Years Considered

                    1.4    Key Stakeholders

                    1.5    Key Questions Answered

Chapter 2    Research Methodology

                    2.1    Introduction

                    2.2    Data Capture Sources

                            2.2.1    Primary Sources

                            2.2.2    Secondary Sources

                    2.3    Market Size Estimation

                    2.4    Market Forecast

                    2.5    Data Triangulation

                    2.6    Assumptions and Limitations

Chapter 3    Executive Summary

Chapter 4    Market Outlook

                    4.1    Introduction

                    4.2    Value Chain Analysis

                    4.3    Market Dynamics

                            4.3.1    Drivers

                                    4.3.1.1 Rising adoption of advanced technology-based solutions for farming

                                    4.3.1.2 Increasing pressure to satisfy the global demand for food

                            4.3.2    Restraints

                                    4.3.2.1 Problems associated with data management and data aggregation

                            4.3.3    Opportunities

                    4.5    PEST Analysis

                    4.6       COVID-19 Impact Analysis

Chapter 5    Agriculture Analytics Market by Component

                    5.1    Introduction

                            5.1.1    Solution

                            5.1.2    Services

Chapter 6    Agriculture Analytics Market by Deployment

                    6.1    Introduction

                            6.1.1 On-premise

                            6.1.2 Cloud

Chapter 7    Agriculture Analytics Market by Application

                    7.1    Introduction

                            7.1.1 Livestock Analytics

                            7.1.2 Aquaculture Analytics

                            7.1.3 Farm Analytics

                            7.1.4 Others

Continued….

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