스마트 농업 시장 - 세계 및 지역별 분석 : 용도, 하드웨어, 소프트웨어, 지역별 분석 및 예측(2024-2034년)

Smart Farming Market Overview

The global smart farming market is projected to reach $117.20 billion by 2034 from $17.40 billion in 2023, growing at a CAGR of 19.09% during the forecast period 2024-2034. The smart farming market is set for substantial growth, driven by the increasing adoption of advanced technologies and a focus on sustainable agricultural practices. Key factors fueling this expansion include rising global food demand, the need to optimize resource efficiency, and the integration of IoT, AI, and robotics in farming operations. Enhanced precision farming techniques and data-driven decision-making have been transforming traditional agricultural processes. Additionally, growing government initiatives and investments in smart farming solutions underscore the importance of improving productivity while minimizing environmental impact. This dynamic landscape reflects a strong emphasis on innovation and sustainability within the agricultural sector.

Introduction to the Smart Farming Market

The smart farming market represents a transformative shift in agriculture, integrating cutting-edge technologies such as IoT, artificial intelligence, big data analytics, and robotics to optimize farming operations. This market addresses the pressing global need for sustainable food production by enabling precision agriculture, improving resource efficiency, and enhancing productivity. Smart farming solutions offer real-time monitoring, predictive analytics, and automation, facilitating better decision-making and minimizing waste. The growing demand for sustainable practices, coupled with advancements in technology and supportive government initiatives, has been driving rapid adoption across the agricultural sector. As farmers strive to balance increasing food demands with environmental conservation, the smart farming market is positioned as a pivotal solution. This innovative approach has been reshaping traditional farming practices, fostering efficiency, and ensuring long-term sustainability, thereby creating significant opportunities for stakeholders in the agricultural value chain.

Market Introduction

The smart farming market has been revolutionizing agriculture by leveraging advanced technologies such as IoT, AI, robotics, and big data to optimize efficiency and productivity. This market addresses the dual challenge of meeting rising food demands while ensuring sustainable resource use. Precision farming, enabled by real-time monitoring and predictive analytics, has transformed traditional practices, reduced waste, and enhanced yields. Growing awareness of sustainable agriculture and supportive government policies have been accelerating adoption. As the agricultural sector increasingly integrates innovative solutions, the smart farming market has been emerging as a cornerstone for achieving efficiency, sustainability, and resilience in global food production.

Industrial Impact

The smart farming market has been significantly impacting the agriculture industry by driving innovation and operational efficiency. Advanced technologies such as IoT, AI, and robotics have been transforming traditional farming methods, enabling precision in resource use and maximizing yields. This shift enhances cost-effectiveness, minimizes environmental impact, and addresses the growing demand for sustainable food production. The adoption of data-driven practices and automation has been reshaping the supply chain, promoting resilience against climate challenges. With rising investments and supportive policies, smart farming has been setting a new benchmark for productivity and sustainability, positioning the industry for long-term growth and global competitiveness.

Market Segmentation:

Segmentation 1: by Application

• Precision Farming or Precision Agriculture
  • Precision Irrigation
  • Yield Monitoring and Crop Scouting or Forecasting
  • Precision Planting
  • Precision Spraying
  • Precision Fertilization
  • Farm Management
  • Other
• Livestock Monitoring and Management
  • Milk Harvesting
  • Animal Health Monitoring and Comfort
  • Feeding Management
  • Livestock Tracking
  • Other
• Aquaculture
  • Feed Management
  • Aquatic Species Tracking and Navigation
  • Water Quality Management
  • Other
• Others

Precision Farming or Precision Agriculture to Lead the Market (by Application)

Precision farming or precision agriculture, is set to dominate the smart farming market due to its pivotal role in enhancing crop productivity and optimizing resource utilization. It minimizes environmental impact while maximizing yields by enabling precise management of inputs such as water, fertilizers, and pesticides. Growing regulatory frameworks and guidelines from governments and agricultural organizations worldwide have been fostering the adoption of precision farming technologies to meet sustainability and efficiency objectives. Additionally, increasing awareness of food security and sustainable agricultural practices drives the demand for these solutions. As resource management challenges intensify and supportive policies expand, precision farming is expected to remain a cornerstone of agricultural innovation, driving sustainable food production and modernizing farming practices globally.

Segmentation 2: by Product Type

• Hardware
  • Displays/Yield Monitors
  • Flow and Application Rate Control Valves
  • Farm Computers, and Mobile Devices and Laptops
  • Agricultural Sensors
  • Guidance and Steering Systems
  • Other
• Software
  • Farm Operation Management
  • Hardware Control Application
  • Data and Predictive Analytics

Hardware to Lead the Market (by Product Type)

Hardware is anticipated to lead the smart farming market by product type, driven by its critical role in enhancing precision and efficiency in agricultural operations. Key hardware components, including sensors, drones, GPS systems, and automated machinery, are essential for real-time monitoring and optimization of farm activities. These devices enable data-driven decision-making, improving productivity and sustainability in farming practices. The integration of advanced technologies such as IoT and AI into agriculture further accelerates the adoption of smart farming hardware. With a growing emphasis on resource efficiency and ongoing technological advancements, the demand for hardware is projected to remain robust, solidifying its position as a cornerstone of modern agricultural transformation.

Segmentation 3: by Region

• North America
• Europe
• Asia-Pacific
• Middle East and Africa
• South America

North America Region to Lead the Market

North America is set to lead the smart farming market, driven by the region's advanced technological infrastructure and strong focus on sustainable agricultural practices. The widespread adoption of precision farming techniques, supported by cutting-edge technologies such as IoT, AI, and robotics, has positioned North America at the forefront of the industry. Additionally, robust government initiatives and funding for smart agriculture solutions, coupled with the presence of major market players, have been fueling growth. Rising awareness of resource-efficient farming and the increasing need to address food security challenges further boost adoption. As innovation continues and sustainable practices gain momentum, North America is expected to maintain its leadership in shaping the future of the smart farming market.

Recent developments in the smart farming market:

• In July 2024, ioCrops introduced the HERMAI Spray Robot and HERMAI Transport Robot. The Spray Robot automates pest control tasks, including monitoring, targeted control, and digital record management, reducing costs. The transport robot supports automation by monitoring harvest quantities and transporting crops, decreasing harvest time by about 10%.
• In January 2024, Ag Leader Technology, Deere & Company, and Kinze Manufacturing collaborated to facilitate technology integration, enabling farmers to integrate Kinze Manufacturing and Ag Leader Technology planting and display products with Deere & Company's Operations Centre. By focusing on in-cab technology enhancements, the company continues to emphasize a farmer-centric approach, adding value to operators and enhancing farm management efficiency.
• In March 2023, Passenger Drone Research Private Limited launched AeroGCS Green software for drones, which helps farmers map fields, identify areas that do not require spraying, and determine the precise quantity of pesticides needed. This software facilitates cost-effective spraying in minutes compared to traditional methods. Key features include remote monitoring, automated control, sensor integration, equipment integration, data visualization, and an alert and notification system.

Demand - Drivers, Limitations, and Opportunities

Market Drivers

The smart farming market has been driven by the increasing need for sustainable agricultural practices and the growing adoption of precision agriculture. Rising global food demand highlights the urgency of resource-efficient farming to conserve water, reduce fertilizer dependency, and lower methane emissions. Technologies such as precision irrigation and advanced fertilization address these challenges while minimizing environmental impacts. Additionally, the adoption of precision agriculture, powered by drones, sensors, and data analytics, optimizes resource use, enhances productivity, and reduces costs. As climate change, population growth, and food security concerns intensify, these innovations reshape farming practices, drive sustainability, and position the market for significant growth.

Market Restraints

The smart farming market faces significant challenges, including a lack of technical expertise among farmers and growing concerns over data security. Many farmers, especially smallholders, struggle to adopt advanced technologies due to limited knowledge and skills, hindering the effective use of precision tools and data analytics. Additionally, the increasing integration of connected technologies has exposed the sector to cybersecurity threats, raising concerns about data privacy and operational risks. The absence of robust regulatory frameworks further exacerbates these issues. Addressing these challenges requires targeted education, technical support, enhanced cybersecurity measures, and clear data governance policies to foster trust and adoption.

Market Opportunities

The smart farming market offers significant opportunities, driven by increasing investments in agri-tech startups and the integration of blockchain technology. Rising funding enables startups to develop advanced solutions such as IoT sensors, AI-driven analytics, and autonomous machinery, accelerating innovation and expanding market reach. Partnerships between startups, established companies, and research institutions further enhance technology adoption. Additionally, blockchain technology has been transforming agriculture by improving transparency and traceability across the value chain. Blockchain addresses food quality and safety concerns by enabling secure transactions and reporting real-time issues, ensuring data integrity. These advancements position the market for sustainable growth and enhanced operational efficiency.

How can this report add value to an organization?

Product/Innovation Strategy: This report provides a comprehensive product/innovation strategy for the smart farming market, identifying opportunities for market entry, technology adoption, and sustainable growth. It offers actionable insights, helping organizations to meet environmental standards, gain a competitive edge, and capitalize on the increasing demand for eco-friendly solutions in various industries.

Growth/Marketing Strategy: This report offers a comprehensive growth and marketing strategy designed specifically for the smart farming market. It presents a targeted approach to identifying specialized market segments, establishing a competitive advantage, and implementing creative marketing initiatives aimed at optimizing market share and financial performance. By harnessing these strategic recommendations, organizations can elevate their market presence, seize emerging prospects, and efficiently propel revenue expansion.

Competitive Strategy: This report crafts a strong competitive strategy tailored to the smart farming market. It evaluates market rivals, suggests methods to stand out, and offers guidance for maintaining a competitive edge. By adhering to these strategic directives, companies can position themselves effectively in the face of market competition, ensuring sustained prosperity and profitability.

Research Methodology

Factors for Data Prediction and Modeling

• The scope of this report focuses on several types of smart farming applications and products.
• The base currency considered for the market analysis is US$. Currencies other than the US$ have been converted to the US$ for all statistical calculations, considering the average conversion rate for that particular year.
• The currency conversion rate has been taken from the historical exchange rate of the Oanda website.
• Nearly all the recent developments from January 2021 to November 2024 have been considered in this research study.
• The information rendered in the report is a result of in-depth primary interviews, surveys, and secondary analysis.
• Where relevant information was not available, proxy indicators and extrapolation were employed.
• Any economic downturn in the future has not been taken into consideration for the market estimation and forecast.
• Technologies currently used are expected to persist through the forecast with no major technological breakthroughs.

Market Estimation and Forecast

This research study involves the usage of extensive secondary sources, such as certified publications, articles from recognized authors, white papers, annual reports of companies, directories, and major databases to collect useful and effective information for an extensive, technical, market-oriented, and commercial study of the smart farming market.

The process of market engineering involves the calculation of the market statistics, market size estimation, market forecast, market crackdown, and data triangulation (the methodology for such quantitative data processes is explained in further sections). The primary research study has been undertaken to gather information and validate the market numbers for segmentation types and industry trends of the key players in the market.

Primary Research

The primary sources involve industry experts from the smart farming market and various stakeholders in the ecosystem. Respondents such as CEOs, vice presidents, marketing directors, and technology and innovation directors have been interviewed to obtain and verify both qualitative and quantitative aspects of this research study.

The key data points taken from primary sources include:

• validation and triangulation of all the numbers and graphs
• validation of reports segmentation and key qualitative findings
• understanding the competitive landscape
• validation of the numbers of various markets for market type
• percentage split of individual markets for geographical analysis

Secondary Research

This research study of the smart farming market involves extensive secondary research, directories, company websites, and annual reports. It also makes use of databases, such as ITU, Hoovers, Bloomberg, Businessweek, and Factiva, to collect useful and effective information for an extensive, technical, market-oriented, and commercial study of the global market.

Secondary research was done to obtain crucial information about the industry's value chain, revenue models, the market's monetary chain, the total pool of key players, and the current and potential use cases and applications.

The key data points taken from secondary research include:

• segmentations and percentage shares
• data for market value
• key industry trends of the top players of the market
• qualitative insights into various aspects of the market, key trends, and emerging areas of innovation
• quantitative data for mathematical and statistical calculations

Key Market Players and Competition Synopsis

The companies that are profiled in the smart farming market have been selected based on input gathered from primary experts and analyzing company coverage, product portfolio, and market penetration.

Some of the prominent names in this market are:

• Ag Leader Technology
• AGCO Corporation
• CNH Industrial N.V.
• Deere & Company
• Hexagon AB
• KUBOTA Corporation
• Climate LLC
• BASF
• CropX inc.
• Connecterra B.V.
• Naio Technologies
• DJI
• Signify Holding
• ams-OSRAM AG
• Afimilk Ltd.
• Allflex
• Nedap N.V.
• Cargill, Incorporated
• GEA Group Aktiengesellschaft
• AKVA group ASA
• Eruvaka Technologies Pvt. Ltd
• AquaManager

Companies not part of the pool have been well represented across different sections of the report (wherever applicable).

Table of Contents

Executive Summary

Scope and Definition

1 Market: Industry Outlook

• 1.1 Trends: Current and Future Impact Assessment
  • 1.1.1 5G: The Future of Smart Farming
  • 1.1.2 LoRa Wide Area Network (LoRaWAN)
• 1.2 Supply Chain Overview
  • 1.2.1 Value Chain Analysis
  • 1.2.2 Pricing Analysis
• 1.3 Regulatory Landscape
• 1.4 Research and Development Review
  • 1.4.1 Patent Filing Trend (by Country and Company)
• 1.5 Start-Up Landscape
  • 1.5.1 Key Start-Ups in Ecosystem, 2023
    • 1.5.1.1 Farm Management Software, Sensing Technologies, and IoT Solutions
    • 1.5.1.2 Farm Robotics, Automation, and Additional Equipment
    • 1.5.1.3 Innovative Farming Systems
  • 1.5.2 Funding Analysis, 2023
• 1.6 Stakeholder Analysis
  • 1.6.1 Use Case
  • 1.6.2 End User and Buying Criteria
• 1.7 Impact Analysis for Key Global Events
• 1.8 Market Dynamics Overview
  • 1.8.1 Market Drivers
    • 1.8.1.1 Increasing Need for Sustainable Agricultural Practices
    • 1.8.1.2 Growing Adoption of Precision Agriculture
  • 1.8.2 Market Challenges
    • 1.8.2.1 Lack of Technical Expertise among Farmers
    • 1.8.2.2 Rising Concern over Data Security with Increasing Cyber Attacks
  • 1.8.3 Market Opportunities
    • 1.8.3.1 Increasing Investment in Agriculture Technology Start-Ups
    • 1.8.3.2 Securing the Agriculture Value Chain with Blockchain

2 Application

• 2.1 Application Segmentation
• 2.2 Application Summary
• 2.3 Smart Farming Market (by Application)
  • 2.3.1 Precision Farming or Precision Agriculture
    • 2.3.1.1 Precision Irrigation
    • 2.3.1.2 Yield Monitoring and Crop Scouting or Forecasting
    • 2.3.1.3 Precision Planting
    • 2.3.1.4 Precision Spraying
    • 2.3.1.5 Precision Fertilization
    • 2.3.1.6 Farm Management
    • 2.3.1.7 Other
  • 2.3.2 Livestock Monitoring and Management
    • 2.3.2.1 Milk Harvesting
    • 2.3.2.2 Animal Health Monitoring and Comfort
    • 2.3.2.3 Feeding Management
    • 2.3.2.4 Livestock Tracking
    • 2.3.2.5 Other
  • 2.3.3 Aquaculture
    • 2.3.3.1 Feed Management
    • 2.3.3.2 Aquatic Species Tracking and Navigation
    • 2.3.3.3 Water Quality Management
    • 2.3.3.4 Other
  • 2.3.4 Others

3 Products

• 3.1 Product Segmentation
• 3.2 Product Summary
• 3.3 Smart Farming Market (by Product)
  • 3.3.1 Hardware
    • 3.3.1.1 Displays/Yield Monitors
    • 3.3.1.2 Flow and Application Rate Control Valves
    • 3.3.1.3 Farm Computers and Mobile Devices & Laptops
    • 3.3.1.4 Agricultural Sensors
    • 3.3.1.5 Guidance and Steering Systems
    • 3.3.1.6 Other
  • 3.3.2 Software
    • 3.3.2.1 Farm Operation Management
    • 3.3.2.2 Hardware Control Application
    • 3.3.2.3 Data and Predictive Analytics

4 Regions

• 4.1 Regional Summary
• 4.2 North America
  • 4.2.1 Regional Overview
  • 4.2.2 Driving Factors for Market Growth
  • 4.2.3 Factors Challenging the Market
    • 4.2.3.1 Application
    • 4.2.3.2 Product
  • 4.2.4 U.S.
    • 4.2.4.1 Application
    • 4.2.4.2 Product
  • 4.2.5 Canada
    • 4.2.5.1 Application
    • 4.2.5.2 Product
  • 4.2.6 Mexico
    • 4.2.6.1 Application
    • 4.2.6.2 Product
• 4.3 Europe
  • 4.3.1 Regional Overview
  • 4.3.2 Driving Factors for Market Growth
  • 4.3.3 Factors Challenging the Market
    • 4.3.3.1 Application
    • 4.3.3.2 Product
  • 4.3.4 Germany
    • 4.3.4.1 Application
    • 4.3.4.2 Product
  • 4.3.5 France
    • 4.3.5.1 Application
    • 4.3.5.2 Product
  • 4.3.6 U.K.
    • 4.3.6.1 Application
    • 4.3.6.2 Product
  • 4.3.7 Italy
    • 4.3.7.1 Application
    • 4.3.7.2 Product
  • 4.3.8 Netherlands
    • 4.3.8.1 Application
    • 4.3.8.2 Product
  • 4.3.9 Spain
    • 4.3.9.1 Application
    • 4.3.9.2 Product
  • 4.3.10 Greece
    • 4.3.10.1 Application
    • 4.3.10.2 Product
  • 4.3.11 Switzerland
    • 4.3.11.1 Application
    • 4.3.11.2 Product
  • 4.3.12 Ukraine
    • 4.3.12.1 Application
    • 4.3.12.2 Product
  • 4.3.13 Belgium
    • 4.3.13.1 Application
    • 4.3.13.2 Product
  • 4.3.14 Rest-of-Europe
    • 4.3.14.1 Application
    • 4.3.14.2 Product
• 4.4 Asia-Pacific
  • 4.4.1 Regional Overview
  • 4.4.2 Driving Factors for Market Growth
  • 4.4.3 Factors Challenging the Market
    • 4.4.3.1 Application
    • 4.4.3.2 Product
  • 4.4.4 China
    • 4.4.4.1 Application
    • 4.4.4.2 Product
  • 4.4.5 Japan
    • 4.4.5.1 Application
    • 4.4.5.2 Product
  • 4.4.6 India
    • 4.4.6.1 Application
    • 4.4.6.2 Product
  • 4.4.7 South Korea
    • 4.4.7.1 Application
    • 4.4.7.2 Product
  • 4.4.8 Australia and New Zealand
    • 4.4.8.1 Application
    • 4.4.8.2 Product
  • 4.4.9 Thailand
    • 4.4.9.1 Application
    • 4.4.9.2 Product
  • 4.4.10 Rest-of-Asia-Pacific
    • 4.4.10.1 Application
    • 4.4.10.2 Product
• 4.5 Middle East and Africa
  • 4.5.1 Regional Overview
  • 4.5.2 Driving Factors for Market Growth
  • 4.5.3 Factors Challenging the Market
    • 4.5.3.1 Application
    • 4.5.3.2 Product
  • 4.5.4 Israel
    • 4.5.4.1 Application
    • 4.5.4.2 Product
  • 4.5.5 Turkey
    • 4.5.5.1 Application
    • 4.5.5.2 Product
  • 4.5.6 Rest-of-Middle East and Africa
    • 4.5.6.1 Application
    • 4.5.6.2 Product
• 4.6 South America
  • 4.6.1 Driving Factors for Market Growth
  • 4.6.2 Factors Challenging the Market
    • 4.6.2.1 Application
    • 4.6.2.2 Product
  • 4.6.3 Brazil
    • 4.6.3.1 Application
    • 4.6.3.2 Product
  • 4.6.4 Rest-of-South America
    • 4.6.4.1 Application
    • 4.6.4.2 Product

5 Markets - Competitive Benchmarking & Company Profiles

• 5.1 Next Frontiers
• 5.2 Geographic Assessment
• 5.3 Company Profiles
  • 5.3.1 Ag Leader Technology
    • 5.3.1.1 Overview
    • 5.3.1.2 Top Products/Product Portfolio
    • 5.3.1.3 Top Competitors
    • 5.3.1.4 Target Customers
    • 5.3.1.5 Key Personnel
    • 5.3.1.6 Analyst View
  • 5.3.2 AGCO Corporation
    • 5.3.2.1 Overview
    • 5.3.2.2 Top Products/Product Portfolio
    • 5.3.2.3 Top Competitors
    • 5.3.2.4 Target Customers
    • 5.3.2.5 Key Personnel
    • 5.3.2.6 Analyst View
  • 5.3.3 CNH Industrial N.V.
    • 5.3.3.1 Overview
    • 5.3.3.2 Top Products/Product Portfolio
    • 5.3.3.3 Top Competitors
    • 5.3.3.4 Target Customers
    • 5.3.3.5 Key Personnel
    • 5.3.3.6 Analyst View
  • 5.3.4 Deere & Company
    • 5.3.4.1 Overview
    • 5.3.4.2 Top Products/Product Portfolio
    • 5.3.4.3 Top Competitors
    • 5.3.4.4 Target Customers
    • 5.3.4.5 Key Personnel
    • 5.3.4.6 Analyst View
  • 5.3.5 Hexagon AB
    • 5.3.5.1 Overview
    • 5.3.5.2 Top Products/Product Portfolio
    • 5.3.5.3 Top Competitors
    • 5.3.5.4 Target Customers
    • 5.3.5.5 Key Personnel
    • 5.3.5.6 Analyst View
  • 5.3.6 KUBOTA Corporation
    • 5.3.6.1 Overview
    • 5.3.6.2 Top Products/Product Portfolio
    • 5.3.6.3 Top Competitors
    • 5.3.6.4 Target Customers
    • 5.3.6.5 Key Personnel
    • 5.3.6.6 Analyst View
  • 5.3.7 Climate LLC
    • 5.3.7.1 Overview
    • 5.3.7.2 Top Products/Product Portfolio
    • 5.3.7.3 Top Competitors
    • 5.3.7.4 Target Customers
    • 5.3.7.5 Key Personnel
    • 5.3.7.6 Analyst View
  • 5.3.8 BASF
    • 5.3.8.1 Overview
    • 5.3.8.2 Top Products/Product Portfolio
    • 5.3.8.3 Top Competitors
    • 5.3.8.4 Target Customers
    • 5.3.8.5 Key Personnel
    • 5.3.8.6 Analyst View
  • 5.3.9 CropX inc.
    • 5.3.9.1 Overview
    • 5.3.9.2 Top Products/Product Portfolio
    • 5.3.9.3 Top Competitors
    • 5.3.9.4 Target Customers
    • 5.3.9.5 Key Personnel
    • 5.3.9.6 Analyst View
  • 5.3.10 Connecterra B.V.
    • 5.3.10.1 Overview
    • 5.3.10.2 Top Products/Product Portfolio
    • 5.3.10.3 Top Competitors
    • 5.3.10.4 Target Customers
    • 5.3.10.5 Key Personnel
    • 5.3.10.6 Analyst View
  • 5.3.11 Signify Holding
    • 5.3.11.1 Overview
    • 5.3.11.2 Top Products/Product Portfolio
    • 5.3.11.3 Top Competitors
    • 5.3.11.4 Target Customers
    • 5.3.11.5 Key Personnel
    • 5.3.11.6 Analyst View
  • 5.3.12 ams-OSRAM AG
    • 5.3.12.1 Overview
    • 5.3.12.2 Top Products/Product Portfolio
    • 5.3.12.3 Top Competitors
    • 5.3.12.4 Target Customers
    • 5.3.12.5 Key Personnel
    • 5.3.12.6 Analyst View
  • 5.3.13 Afimilk Ltd.
    • 5.3.13.1 Overview
    • 5.3.13.2 Top Products/Product Portfolio
    • 5.3.13.3 Top Competitors
    • 5.3.13.4 Target Customers
    • 5.3.13.5 Key Personnel
    • 5.3.13.6 Analyst View
  • 5.3.14 Allflex
    • 5.3.14.1 Overview
    • 5.3.14.2 Top Products/Product Portfolio
    • 5.3.14.3 Top Competitors
    • 5.3.14.4 Target Customers
    • 5.3.14.5 Key Personnel
    • 5.3.14.6 Analyst View
  • 5.3.15 Nedap N.V.
    • 5.3.15.1 Overview
    • 5.3.15.2 Top Products/Product Portfolio
    • 5.3.15.3 Top Competitors
    • 5.3.15.4 Target Customers
    • 5.3.15.5 Key Personnel
    • 5.3.15.6 Analyst View
  • 5.3.16 Cargill, Incorporated
    • 5.3.16.1 Overview
    • 5.3.16.2 Top Products/Product Portfolio
    • 5.3.16.3 Top Competitors
    • 5.3.16.4 Target Customers
    • 5.3.16.5 Key Personnel
    • 5.3.16.6 Analyst View
  • 5.3.17 GEA Group Aktiengesellschaft
    • 5.3.17.1 Overview
    • 5.3.17.2 Top Products/Product Portfolio
    • 5.3.17.3 Top Competitors
    • 5.3.17.4 Target Customers
    • 5.3.17.5 Key Personnel
    • 5.3.17.6 Analyst View
  • 5.3.18 AKVA group ASA
    • 5.3.18.1 Overview
    • 5.3.18.2 Top Products/Product Portfolio
    • 5.3.18.3 Top Competitors
    • 5.3.18.4 Target Customers
    • 5.3.18.5 Key Personnel
    • 5.3.18.6 Analyst View
  • 5.3.19 Eruvaka Technologies Pvt.Ltd
    • 5.3.19.1 Overview
    • 5.3.19.2 Top Products/Product Portfolio
    • 5.3.19.3 Top Competitors
    • 5.3.19.4 Target Customers
    • 5.3.19.5 Key Personnel
    • 5.3.19.6 Analyst View
  • 5.3.20 AquaManager
    • 5.3.20.1 Overview
    • 5.3.20.2 Top Products/Product Portfolio
    • 5.3.20.3 Top Competitors
    • 5.3.20.4 Target Customers
    • 5.3.20.5 Key Personnel
    • 5.3.20.6 Analyst View

6 Research Methodology

• 6.1 Data Sources
  • 6.1.1 Primary Data Sources
  • 6.1.2 Secondary Data Sources
  • 6.1.3 Data Triangulation
• 6.2 Market Estimation and Forecast