Global Smart Agriculture Market Size study, by Offering (Hardware, Software, Services), by Agriculture Type (Precision Monitoring, Livestock Monitoring, Smart Greenhouse, Fish Farm Monitoring), and by Regional Forecasts 2018-2025

For discount/customization and buying a particular chapter, write to us at sales@bizwitresearch.com

Global Smart Agriculture Market valued approximately USD 7 billion in 2017 is anticipated to grow with a healthy growth rate of more than 12.50% over the forecast period 2017-2025. The demand for smart technologies such as Big Data, cloud-based services, GPS, and the IoT is gaining pace in the agriculture industry. Driven by the rising need for high precision crop analysis, automated farming techniques, and collection of data from the field, the world is likely to witness the agriculture industry get smarter with the implementation of technologies in the coming years. Data thus derived from implementing smart technologies can help farmers yield high quality and larger quantity of crops. Besides rising population, which triggers demand for food, the global smart agriculture market is expected to gain from favorable government initiatives. However, the journey is likely to be more difficult in underdeveloped economy where the agriculture sector is reeling under lack of knowledge among farmers. The high cost of smart devices is making the matter worse. Nevertheless, in the coming years the market is likely to gain from the rising penetration of high-speed internet even in remote areas.

The regional analysis of Global Smart Agriculture Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. the dominance was with the smart agriculture market in North America, which held over 44.14% of the overall market in 2016. Extensive researches funded by governments across the region to minimize human involvement and boost crop yield has fueled the demand for smart agriculture technologies in North America. Europe emerged as the second-leading and is expected to continue exhibiting lucrative market opportunities. In the U.K. especially the market is forecast to witness accelerated pace of gains as the government make huge investments in the research and development of robust technologies. Besides this, rate of growth in Italy is predicted to remain high through the forecast period. During the same time, the Asia Pacific smart agriculture market is forecast to rise at an influential rate. Countries such as Japan, China, and Australia will strong agriculture sector are expected to emerge at the fore of the regional market. China held the leading share in the Asia Pacific smart agriculture market. However, in the forthcoming years Japan is expected to showcase more attractive opportunities for the market.

Global Smart Agriculture Market The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Offering:

  • Hardware
  • Software
  • Services

By Agriculture Type:

  • Precision Monitoring
  • Livestock Monitoring
  • Smart Greenhouse
  • Fish Farm Monitoring

By Application:

  • Precision Farming Application
  • Livestock Monitoring Application
  • Fish Farming Application
  • Smart Green House Application

By Regions:

  • North America
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
  • Asia Pacific
    • China
    • India
    • Japan
  • Latin America
    • Brazil
    • Mexico
  • Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2015, 2016

Base year – 2017

Forecast period – 2018 to 2025

The industry is seeming to be fairly competitive. Some of the leading market players include Deere & Company, Trimble, Agco, Agjunction, Raven Industries, Delavai, AG Leader Technology., Teejet Technology, Topcon Positioning System, Geosys, Dairy Master and so on. Acquisitions and effective mergers are some of the strategies adopted by the key manufacturers. New product launches and continuous technological innovations are the key strategies adopted by the major players.

Target Audience of the Global Smart Agriculture Market in Market Study:

  • Key Consulting Companies & Advisors
  • Large, medium-sized, and small enterprises
  • Venture capitalists
  • Value-Added Resellers (VARs)
  • Third-party knowledge providers
  • Investment bankers
  • Investors

Chapter 1.           Global Smart Agriculture Market Definition and Scope

1.1.         Research Objective

1.2.         Market Definition

1.3.         Scope of The Study

1.4.         Years Considered for The Study

1.5.         Currency Conversion Rates

1.6.         Report Limitation

Chapter 2.           Research Methodology

2.1.         Research Process

2.1.1.     Data Mining

2.1.2.     Analysis

2.1.3.     Market Estimation

2.1.4.     Validation

2.1.5.     Publishing

2.2.         Research Assumption

Chapter 3.           Executive Summary

3.1.         Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion)

3.2.         Key Trends

Chapter 4.           Global Smart Agriculture Market Dynamics

4.1.         Growth Prospects

4.1.1.     Drivers

4.1.2.     Restraints

4.1.3.     Opportunities

4.2.         Industry Analysis

4.2.1.     Porter’s 5 Force Model

4.2.2.     PEST Analysis

4.2.3.     Value Chain Analysis

4.3.         Analyst Recommendation & Conclusion

Chapter 5.           Global Smart Agriculture Market, By Offering

5.1.         Market Snapshot

5.2.         Market Performance – Potential Model

5.3.         Global Smart Agriculture Market, Sub Segment Analysis

5.3.1.     Hardware

5.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

5.3.2.     Software

5.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

5.3.3.     Services

5.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 6.           Global Smart Agriculture Market, By Agriculture Type

6.1.         Market Snapshot

6.2.         Market Performance – Potential Model

6.3.         Global Smart Agriculture Market, Sub Segment Analysis

6.3.1.     Precision Farming

6.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

6.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

6.3.2.     Livestock Monitoring

6.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

6.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

6.3.3.     Smart Greenhouse

6.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

6.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

6.3.4.     Fish Farm Monitoring

6.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

6.3.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 7.           Global Smart Agriculture Market, By Application

7.1.         Market Snapshot

7.2.         Market Performance – Potential Model

7.3.         Global Smart Agriculture Market, Sub Segment Analysis

7.3.1.     Precision Farming Application

7.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.2.     Livestock Monitoring Application

7.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.3.     Fish Farming Application

7.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.4.     Smart Greenhouse Application

7.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 8.           Global Smart Agriculture Market, by Regional Analysis

8.1.         Smart Agriculture Market, Regional Market Snapshot (2015-2025)

8.2.         North America Smart Agriculture Market Snapshot

8.2.1.     U.S.

8.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.2.1.2. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.2.1.3. Agriculture Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.2.1.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.2.2.     Canada

8.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.2.2.2. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.2.2.3. Agriculture Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.2.2.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.         Europe Smart Agriculture Market Snapshot

8.3.1.     U.K.

8.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.3.1.2. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.1.3. Agriculture Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.1.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.2.     Germany

8.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.3.2.2. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.2.3. Agriculture Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.2.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.3.     France

8.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.3.3.2. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.3.3. Agriculture Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.3.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.4.     Rest of Europe

8.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.3.4.2. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.4.3. Agriculture Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.4.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.         Asia Smart Agriculture Market Snapshot

8.4.1.     China

8.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.4.1.2. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.1.3. Agriculture Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.1.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.2.     India

8.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.4.2.2. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.2.3. Agriculture Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.2.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.3.     Japan

8.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.4.3.2. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.3.3. Agriculture Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.3.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.4.     Rest of Asia Pacific

8.4.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.4.4.2. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.4.3. Agriculture Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.4.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.5.         Latin America Smart Agriculture Market Snapshot

8.5.1.     Brazil

8.5.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.5.1.2. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.5.1.3. Agriculture Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.5.1.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.5.2.     Mexico

8.5.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.5.2.2. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.5.2.3. Agriculture Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.5.2.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.6.         Rest of The World

8.6.1.     South America

8.6.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.6.1.2. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.6.1.3. Agriculture Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.6.1.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.6.2.     Middle East and Africa

8.6.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.6.2.2. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.6.2.3. Agriculture Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.6.2.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 9.           Competitive Intelligence

9.1.         Company Market Share (Subject to Data Availability)

9.2.         Top Market Strategies

9.3.         Company Profiles

9.3.1.     Deere & Company

9.3.1.1. Overview

9.3.1.2. Financial (Subject to Data Availability)

9.3.1.3. Product Summary

9.3.1.4. Recent Developments

9.3.2.     Trimble

9.3.3.     Agco

9.3.4.     Agjunction

9.3.5.     Raven Industries

9.3.6.     Delavai

9.3.7.     AG Leader Technology.

9.3.8.     Teejet Technology

9.3.9.     Topcon Positioning System

9.3.10.   Geosys

9.3.11.   Dairy Master

The Research Methodology for Global Smart Agriculture Market Study deeply focuses on the entire value chain of the market. However, all of the statistical estimates are purely based on the consumption/implementation side of the value chain wherein the market sizes have been calculated by analyzing the prices i.e. sale price or cost prices along with the average demand/ procedures/usage/ deployment/execution of Smart Agriculture across various industries / end-use/applications.

The whole Smart Agriculture industry has been divided into various segments i.e. Offering, Agriculture Type, Application, Regions and each of which is studied as an individual study by our research analysts and consultants. Each of the subsegments has been analyzed and estimated at country level to form a regional scope. After finalizing the regional and segmental revenues the total revenue for Global Smart Agriculture Market is calculated as a sum of all the different segments.

Some of the key data points considered under the Research Methodology to calculate the revenue for Global Smart Agriculture Market includes:

  • Revenues from key companies
  • Company market share analysis
  • Consumer spending analysis
  • Regional export and import analysis
  • Regulatory Trends
  • Sales revenue generated by various products/applications in different countries/geographies

The Research Methodology starts with extensive data mining, using paid & free authentic information sources such as white papers, industry journals, trade magazines, Hoovers, Factiva, Statista, news websites, technical publications, independent studies etc. a team of dedicated research analysts and associates work on all of the gathered data to extract relevant information. Key factors such as ongoing & upcoming industry trends, external & internal driving factors, restraining factors, growth opportunities and value chain analysis have been verified in order form qualitative part of the report and to back the estimation team for quantitative analysis.

We utilize a combination of top-down and bottom-up methodology for industry estimations & forecasts. Additionally, we employ data triangulation techniques to verify each of the estimates and forecasts through primary interviews and feedbacks. An extensive primary and secondary research have been conducted with the key industry people, through questionnaires, telephonic conversations, email conversations, and interviews to verify industry trends and estimations. Various government websites/portals and paid data sources are considered as a key source of secondary research.

All of the estimates are derived from simulation models which is our proprietary technique. Each of these models is different from another. These models are a combination of correlation, regression and time series analysis. Each of these models is basically divided into two types namely economic and technological. Economical models are used to determine short-term market estimates and technological models are used for long-term estimates & forecasts. Both the types are used collectively in order to derive market estimates for the base year as well as for forecast period.


We offer 10% free customization including country-level data, niche applications and competitive landscape with every report. This also includes a 30 minute free analyst discussion post report purchase.

Full Name*

Business Email* (Please avoid generic email IDs such as gmail, yahoo)

Phone* (Please Affix Country Code)

Need specific market information? To get a customized report, please share your exact research requirements.

Buy Now


Single User – $3,950

Enterprise License – $5,550

Loading…