시장보고서
상품코드
1442611

세계의 농업용 IoT 시장 : 용도별, 제품별, 국가별 분석 및 예측(2023-2033년)

Global IoT in Agriculture Market: Focus on Application, Product, and Country-Wise Analysis - Analysis and Forecast, 2023-2033

발행일: | 리서치사: BIS Research | 페이지 정보: 영문 | 배송안내 : 1-5일 (영업일 기준)

    
    
    




■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송일정은 문의해 주시기 바랍니다.

세계 농업용 IoT 시장 규모는 2033년 719억 2,000만 달러 규모로 성장할 것으로 전망됩니다.

주요 시장 통계
예측 기간 2023-2033년
2023년 평가 201억 4,000만 달러
2033년 전망 719억 2,000만 달러
CAGR 13.57%

시장 분류

세분화 1: 용도별

  • 정밀 작물 재배
  • 가축 모니터링 및 관리
  • 실내 농업
  • 양식업
  • 기타

세계 농업용 IoT 시장을 장악하고 있는 정밀 작물 재배 분야

용도별로는 정밀 작물 재배 부문이 2022년 78억 2,930만 달러의 매출 규모를 나타낼 것으로 예상됩니다. 정밀 농업 기술에 대한 수요 증가가 농업용 IoT 산업의 성장을 주도하고 있습니다.

정밀농업은 IoT 센서, 장치 및 플랫폼을 통합하여 토양의 수분 수준과 영양분 함량에서 미기후 조건 및 식물 건강 상태에 이르기까지 농업의 미시적 변수를 엄격하게 모니터링하고 제어할 수 있습니다. 이러한 상세한 수준의 데이터 수집을 통해 물, 비료, 농약을 필요한 곳에 정확하게 분배하여 폐기물과 환경 영향을 크게 줄일 수 있으며, IoT 지원 장치는 관개 및 살포 시스템을 자동화하여 식물의 성장과 생산을 극대화하는 정확하고 시기적절한 개입을 가져올 수 있습니다. 할 수 있습니다.

세분화 2: 구성요소별 세분화

  • 하드웨어
    • 프로세서 및 센서
    • 통신 모듈
    • 기타
  • 소프트웨어

예측 기간 동안 가장 높은 성장세를 보일 소프트웨어 구성 요소

컴포넌트별로는 소프트웨어 부문이 97억 4,880만 달러의 매출 규모를 나타냈는데, 이는 작업을 수행하기 위해 다양한 플랫폼과의 통합이 필요하기 때문인 것으로 분석됐습니다.

세분화 3: 지역별 세분화

  • 북미 - 미국, 캐나다, 멕시코
  • 유럽 - 영국, 독일, 프랑스, 스페인, 이탈리아, 네덜란드, 네덜란드, 덴마크, 기타
  • 아시아태평양 - 일본, 인도, 중국, 호주, 뉴질랜드, 인도네시아, 베트남, 말레이시아, 기타
  • 세계 기타 지역

지역별로는 아시아태평양이 14.93%의 연평균 복합 성장률(CAGR)을 나타내고, 가장 높은 성장률을 보이는 지역 시장으로 나타났습니다. 기타 지역도 각국에서 현대식 농업에 대한 수요가 증가함에 따라 농업용 IoT 도입 측면에서 견인력을 높일 것으로 예상됩니다. 또한, 유리한 정부 정책은 예측 기간 동안 북미와 유럽의 농업용 IoT 시장 성장을 지원할 것으로 예상됩니다.

세계 농업용 IoT 시장을 조사했으며, 시장 개요, 주요 시장 동향, 규제 환경, R&D-특허 동향, 시장 영향요인 분석, 시장 규모 추이 및 예측, 각 부문별/지역별 상세 분석, 경쟁 구도, 주요 기업 분석 등의 정보를 정리하여 전해드립니다.

목차

주요 요약

제1장 시장

  • 동향 : 현재 및 향후 영향 평가
    • 동향 : 개요
    • 농업용 드론
    • 자율 시스템과 농업용 로봇
    • 추적 가능성을 위한 블록체인
  • 공급망 분석
    • 밸류체인 분석
  • R&D 리뷰
    • 특허 출원 동향(국가별, 특허 건수)
  • 규제 상황
  • 시장 역학 개요
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회

제2장 용도

  • 용도 분류
  • 용도 개요
  • 세계의 농업용 IoT 시장 : 용도별
    • 용도

제3장 제품

  • 제품 분류
  • 제품 개요
  • 세계의 농업용 IoT 시장 : 컴포넌트별
    • 제품

제4장 지역

  • 지역 개요
  • 성장 촉진요인 및 억제요인
  • 북미
  • 유럽
  • 아시아태평양
  • 기타 지역

제5장 시장 : 경쟁 벤치마킹과 기업 개요

  • 다음 프론티어
  • 지역 목표 평가
    • Deere & Company
    • Microsoft
    • CNH Industrial N.V.
    • Robert Bosch GmbH
    • Kalera Inc.
    • Heliospectra AB
    • Signify Holding
    • AKVA Group ASA
    • Eruvaka Technologies
    • AGRIVI
    • Climate LLC
    • AeroFarms
    • AmHydro
    • Connecterra B.V.
    • OSRAM GmbH

제6장 조사 방법

LSH 24.03.15

The Global IoT in Agriculture Market Expected to Reach $71.92 Billion by 2033

Introduction of IoT in Agriculture

The relevance of IoT in the agriculture business cannot be emphasized, as it offers a tremendous leap forward in the potential to control and optimize agricultural processes. Farmers and agribusinesses who use IoT get access to a variety of real-time data from sensors that monitor soil moisture, crop health, weather conditions, and other variables. This data is used in advanced analytics to enable precision farming, which allows for the precise application of water, fertilizers, and pesticides, lowering costs and environmental impact while increasing yield and quality. Furthermore, IoT technology allows for the automation of agricultural activities ranging from planting to harvesting, which can help to alleviate manpower shortages and increase production. The use of IoT in agriculture not only improves efficiency and sustainability but also contributes to food security by allowing smarter, more responsive agricultural systems that can adjust to changing climatic circumstances and rising global demand.

KEY MARKET STATISTICS
Forecast Period2023 - 2033
2023 Evaluation$20.14 Billion
2033 Forecast$71.92 Billion
CAGR13.57%

Market Introduction

In the early days of the Internet of Things (IoT) in agriculture, the industry was defined by the early acceptance of basic sensor-based technologies and the limited use of connected devices. These were primarily used to monitor environmental factors such as soil moisture and temperature, which are important for crop health. Early IoT apps enabled farmers to get information about these circumstances, allowing them to water or ventilate their crops in real time rather than using less accurate planned or reactive procedures. These early shifts toward smart farming were revolutionary, introducing a degree of data-driven decision-making that had previously been inaccessible in the agriculture industry. However, the functionality of these systems was very simple, missing the complex analytics and automation capabilities that define today's level of IoT in agriculture.

The modern agricultural sector uses the Internet of Things (IoT) to transform farming processes, resulting in what is commonly referred to as 'Precision Agriculture.' The Internet of Things enables a network of smart devices to interact and automate decision-making processes in real time. Sensors distributed across fields capture data on soil moisture, nutrient levels, meteorological conditions, and crop health and send it to central management systems. Farmers and agribusinesses use this data to make educated decisions about when to plant, water, and harvest, reducing waste while increasing yields. Drones with superior imaging technology monitor crop health from above, while self-driving tractors and harvesters operate with GPS precision, lowering labor requirements and boosting field management. The incorporation of IoT technology thereby simplifies agricultural operations, increases resource efficiency, improves product quality, and promotes sustainability, signaling a substantial shift from traditional farming practices to a more data-centric strategy in agriculture.

Industrial Impact

The Internet of Things (IoT) has had a disruptive industrial influence on the agriculture business, prompting a fundamental rethinking of agricultural techniques and supply chain management. The introduction of the Internet of Things (IoT) into agriculture, often known as 'smart farming,' has resulted in a data-driven business. Sensors placed across fields assess a range of characteristics, including temperature, humidity, soil moisture, and crop health, allowing farmers to make better-informed decisions. The real-time data acquired aids in the correct application of water, fertilizers, and pesticides, lowering costs and minimizing environmental effects. Furthermore, with IoT, agricultural machinery such as tractors and harvesters are becoming more self-sufficient, enhancing operating efficiency.

On a larger scale, the use of IoT technology in agriculture is causing alterations in labor dynamics, investment patterns, and even regional development strategies. As farms become more technologically advanced, there is a greater demand for a workforce that is proficient in both agriculture and technology, resulting in the development of new educational and training programs. Furthermore, the data-centric approach of IoT is drawing substantial investment from technology firms, venture capitalists, and even governments, all looking to capitalize on the efficiency and opportunities it offers. The industrial environment is being transformed, with technology providers and agribusinesses forming strategic partnerships and alliances to harness IoT to gain a competitive advantage in the ever-changing agriculture industry.

Market Segmentation:

Segmentation 1: by Application

  • Precision Crop Farming
  • Livestock Monitoring and Management
  • Indoor Farming
  • Aquaculture
  • Others

Precision Crop Farming Segment to Dominate the Global IoT in Agriculture Market (by Application)

The IoT in agriculture market is led by the precision crop farming segment, with a $7,829.3 million in 2022 in terms of revenue. Increasing demand for precision farming techniques is driving the growth of the IoT in agriculture industry.

Precision farming can rigorously monitor and control the micro-variables of farming by integrating IoT sensors, devices, and platforms, ranging from soil moisture levels and nutrient content to microclimate conditions and plant health. This detailed level of data collecting allows for the precise distribution of water, fertilizers, and pesticides where they are required, dramatically decreasing waste and environmental effects. IoT-enabled devices may automate irrigation and application systems, resulting in accurate and timely interventions that maximize plant growth and production.

Segmentation 2: by Component

  • Hardware
    • Processors and Sensors
    • Communication Modules
    • Others
  • Software

Software Segment to Witness the Highest Growth between 2023 and 2033

The software segment dominated the global IoT in agriculture market (by component) in 2023, with a $9,748.8 million in terms of revenue due to the need to be integrated into various platforms to carry out the tasks.

Segmentation 3: by Region

  • North America - U.S., Canada, and Mexico
  • Europe - U.K., Germany, France, Spain, Italy, Netherlands, Denmark, and Rest-of-Europe
  • Asia-Pacific - Japan, India, China, Australia and New Zealand, Indonesia, Vietnam, Malaysia, and Rest-of-Asia-Pacific
  • Rest-of-the-World

Asia-Pacific was the highest-growing market among all the regions, registering a CAGR of 14.93%. Rest-of-the-World is anticipated to gain traction in terms of IoT in agriculture adoption owing to the growing demand for modern agricultural methods among countries. Moreover, favorable government policies are also expected to support the growth of the IoT in agriculture market in North America and Europe during the forecast period.

In North America, the U.S. is anticipated to show the highest growth in the IoT in agriculture market among other countries in North America. The U.S. is anticipated to grow at a CAGR of 12.67%. The growth of the U.S. in the IoT in agriculture market is mainly due to the factor that the U.S. has a robust start-up ecosystem that drives innovation in the agricultural IoT sector. Start-ups such as Farmers Edge and Arable Labs are pushing this innovation by offering cutting-edge solutions.

Recent Developments in the IoT in Agriculture Market

  • In April 2023, Bosch announced that it would collaborate with AGCO Corporation to integrate and commercialize Smart Spraying technology on Fendt Rogator sprayers, as well as create further innovative features.
  • In January 2024, Deere & Company established a partnership with SpaceX to deliver cutting-edge satellite communications (SATCOM) services to farmers. Using the industry-leading Starlink network, this solution would enable farmers experiencing rural connectivity issues to utilize precision agricultural tools fully.
  • In March 2023, Bayer and Microsoft formalized their cooperation, which they announced a little over a year ago, to develop a cloud-based collection of data tools and data science solutions for the food and agriculture industries.

Demand - Drivers and Limitations

Market Drivers: Increase in Demand for Agricultural Efficiency and Productivity

As labor shortages and agricultural input costs grow, there is an urgent need to enhance operational efficiency. IoT technology allows for automation in a variety of farming processes, lowering labor costs and enhancing efficiency. AGCO Corporation, for example, provides modern farming gear with IoT capabilities that automate processes such as planting, harvesting, and data gathering.

Market Opportunities: Integration of IoT in Robotics

Integrating IoT in agricultural robots offers considerable cost reductions and efficiency improvements. For example, robotic systems outfitted with IoT sensors can outperform human labor in operations such as harvesting, weeding, and planting. The cost of establishing such systems varies, but a mid-sized IoT-enabled agricultural robot may range from $30,000 to $100,000, depending on its capability and sophistication. Over time, the return on investment is frequently recovered through labor cost reductions and greater agricultural yields.

How can this report add value to an organization?

Product/Innovation Strategy: The product segment helps the reader understand the different types of components available for deployment and their potential globally. Moreover, the study provides the reader with a detailed understanding of the IoT in agriculture market by application on the basis of application (precision crop farming, livestock monitoring and management, indoor farming, aquaculture, and others) and product on the basis of component (hardware and software).

Growth/Marketing Strategy: The IoT in agriculture market has seen major development by key players operating in the market, such as business expansion, partnership, collaboration, and joint venture. The favored strategy for the companies has been partnerships and contracts to strengthen their position in the IoT in agriculture market. For instance, in May 2023, Deere & Company revealed that it was bringing its sensing technology down to plant seed level. Not only can seeds be planted quickly with Deere's automated seeding technology, which can fire over 1,000 seeds per second, but John Deere has also created a new enhanced seeding-fertilizer capability aided by sophisticated and accurate tracking technologies.

Competitive Strategy: Key players in the IoT in agriculture market analyzed and profiled in the study involve major IoT in agriculture, offering companies providing IoT in agriculture for the purpose. Moreover, a detailed competitive benchmarking of the players operating in the IoT in agriculture market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.

Methodology: The research methodology design adopted for this specific study includes a mix of data collected from primary and secondary data sources. Both primary resources (key players, market leaders, and in-house experts) and secondary research (a host of paid and unpaid databases), along with analytical tools, are employed to build the predictive and forecast models.

Data and validation have been taken into consideration from both primary sources as well as secondary sources.

Key Considerations and Assumptions in Market Engineering and Validation

  • Detailed secondary research has been done to ensure maximum coverage of manufacturers/suppliers operational in a country.
  • Exact revenue information, up to a certain extent, will be extracted for each company from secondary sources and databases. Revenues specific to product/service/technology will then be estimated for each market player based on fact-based proxy indicators as well as primary inputs.
  • Based on the classification, the average selling price (ASP) is calculated using the weighted average method.
  • The currency conversion rate has been taken from the historical exchange rate of Oanda and/or other relevant websites.
  • Any economic downturn in the future has not been taken into consideration for the market estimation and forecast.
  • 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 term "product" in this document may refer to "platform" as and where relevant.
  • The term "manufacturers/suppliers" may refer to "systems providers" or "technology providers" as and where relevant.

Primary Research

The primary sources involve industry experts from the agritech industry, including IoT in agriculture, agriculture/farming-related industries, and IoT in agriculture component manufacturers. 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.

Secondary Research

This study involves the usage of extensive secondary research, company websites, directories, and annual reports. It also makes use of databases, such as Spacenews, Businessweek, and others, to collect effective and useful information for a market-oriented, technical, commercial, and extensive study of the global market. In addition to the data sources, the study has been undertaken with the help of other data sources and websites, such as www.nasa.gov.

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

Key Market Players and Competition Synopsis

The companies that are profiled have been selected based on thorough secondary research, which includes analyzing company coverage, product portfolio, market penetration, and insights gathered from primary experts.

The IoT in agriculture market comprises key players who have established themselves thoroughly and have the proper understanding of the market, accompanied by start-ups who are looking forward to establishing themselves in this highly competitive market. In 2022, the IoT in agriculture market was dominated by established players, accounting for 73% of the market share, whereas the start-ups managed to capture 27% of the market. With the growth in advancements in agricultural technologies among the nations, more players will enter the global IoT in agriculture market with each passing year.

Some prominent names established in this market are:

  • Deere & Company
  • Microsoft
  • CNH Industrial N.V
  • Robert Bosch GmbH
  • Kalera Inc.
  • Heliospectra AB
  • Signify Holding
  • AKVA Group ASA
  • Eruvaka Technologies
  • AGRIVI
  • Climate LLC
  • AeroFarms

Table of Contents

Executive Summary

Scope and Definition

1 Markets

  • 1.1 Trends: Current and Future Impact Assessment
    • 1.1.1 Trends: Overview
    • 1.1.2 Agricultural Drones
    • 1.1.3 Autonomous Systems and Agricultural Robots
    • 1.1.4 Blockchain for Traceability
  • 1.2 Supply Chain Analysis
    • 1.2.1 Value Chain Analysis
  • 1.3 Research and Development Review
    • 1.3.1 Patent Filing Trend (by Country, Number of Patents)
  • 1.4 Regulatory Landscape
  • 1.5 Market Dynamics Overview
    • 1.5.1 Market Drivers
      • 1.5.1.1 Increase in Demand for Agricultural Efficiency and Productivity
      • 1.5.1.2 Advancements in Agricultural Technologies
      • 1.5.1.3 Rise in Adoption of Precision Farming
    • 1.5.2 Market Restraints
      • 1.5.2.1 Lack of Trained Personnel
      • 1.5.2.2 High Initial Investment Costs
    • 1.5.3 Market Opportunities
      • 1.5.3.1 Integration of IoT in Robotics
      • 1.5.3.2 Livestock Monitoring and Management

2 Application

  • 2.1 Application Segmentation
  • 2.2 Application Summary
  • 2.3 Global IoT in Agriculture Market (by Application)
    • 2.3.1 Applications
      • 2.3.1.1 Precision Crop Farming
      • 2.3.1.2 Livestock Monitoring and Management
      • 2.3.1.3 Indoor Farming
      • 2.3.1.4 Aquaculture
      • 2.3.1.5 Others

3 Products

  • 3.1 Product Segmentation
  • 3.2 Product Summary
  • 3.3 Global IoT in Agriculture Market (by Component)
    • 3.3.1 Product
      • 3.3.1.1 Hardware
        • 3.3.1.1.1 Processors and Sensors
        • 3.3.1.1.2 Communication Modules
          • 3.3.1.1.2.1 Wi-Fi
          • 3.3.1.1.2.2 Bluetooth
          • 3.3.1.1.2.3 Cellular
          • 3.3.1.1.2.4 Others
          • 3.3.1.1.2.4.1 Radio-Frequency Distribution (RFID)
          • 3.3.1.1.2.4.2 Satellite Communications
          • 3.3.1.1.2.4.3 LoRaWAN
        • 3.3.1.1.3 Others
          • 3.3.1.1.3.1 Actuators
          • 3.3.1.1.3.2 Cameras
          • 3.3.1.1.3.3 Imaging Devices
      • 3.3.1.2 Software

4 Regions

  • 4.1 Regional Summary
  • 4.2 Drivers and Restraints
  • 4.3 North America
    • 4.3.1 Regional Overview
    • 4.3.2 Driving Factors for Market Growth
    • 4.3.3 Factors Challenging the Market
    • 4.3.4 Application
    • 4.3.5 Product
    • 4.3.6 U.S.
    • 4.3.7 Application
    • 4.3.8 Product
    • 4.3.9 Canada
    • 4.3.10 Application
    • 4.3.11 Product
    • 4.3.12 Mexico
    • 4.3.13 Application
    • 4.3.14 Product
  • 4.4 Europe
    • 4.4.1 Regional Overview
    • 4.4.2 Driving Factors for Market Growth
    • 4.4.3 Factors Challenging the Market
    • 4.4.4 Application
    • 4.4.5 Product
    • 4.4.6 France
    • 4.4.7 Application
    • 4.4.8 Product
    • 4.4.9 Germany
    • 4.4.10 Application
    • 4.4.11 Product
    • 4.4.12 U.K.
    • 4.4.13 Application
    • 4.4.14 Product
    • 4.4.15 Spain
    • 4.4.16 Application
    • 4.4.17 Product
    • 4.4.18 Italy
    • 4.4.19 Application
    • 4.4.20 Product
    • 4.4.21 Netherlands
    • 4.4.22 Application
    • 4.4.23 Product
    • 4.4.24 Denmark
    • 4.4.25 Application
    • 4.4.26 Product
    • 4.4.27 Rest-of-Europe
    • 4.4.28 Application
    • 4.4.29 Product
  • 4.5 Asia-Pacific
    • 4.5.1 Regional Overview
    • 4.5.2 Driving Factors for Market Growth
    • 4.5.3 Factors Challenging the Market
    • 4.5.4 Application
    • 4.5.5 Product
    • 4.5.6 China
    • 4.5.7 Application
    • 4.5.8 Product
    • 4.5.9 India
    • 4.5.10 Application
    • 4.5.11 Product
    • 4.5.12 Japan
    • 4.5.13 Application
    • 4.5.14 Product
    • 4.5.15 Australia and New Zealand
    • 4.5.16 Application
    • 4.5.17 Product
    • 4.5.18 Indonesia
    • 4.5.19 Application
    • 4.5.20 Product
    • 4.5.21 Vietnam
    • 4.5.22 Product
    • 4.5.23 Product
    • 4.5.24 Malaysia
    • 4.5.25 Application
    • 4.5.26 Product
    • 4.5.27 Rest-of-Asia-Pacific
    • 4.5.28 Product
  • 4.6 Rest-of-the-World
    • 4.6.1 South America
    • 4.6.2 Regional Overview
    • 4.6.3 Driving Factors for Market Growth
    • 4.6.4 Factors Challenging the Market
    • 4.6.5 Application
    • 4.6.6 Product
    • 4.6.7 Brazil
    • 4.6.8 Application
    • 4.6.9 Product
    • 4.6.10 Argentina
    • 4.6.11 Application
    • 4.6.12 Product
    • 4.6.13 Rest-of-South America
    • 4.6.14 Application
    • 4.6.15 Product
    • 4.6.16 Middle East and Africa
    • 4.6.17 Regional Overview
    • 4.6.18 Driving Factors for Market Growth
    • 4.6.19 Factors Challenging the Market
    • 4.6.20 Application
    • 4.6.21 Product
    • 4.6.22 Africa
    • 4.6.23 Application
    • 4.6.24 Product

5 Markets - Competitive Benchmarking & Company Profiles

  • 5.1 Next Frontiers
  • 5.2 Geographic Assessment
    • 5.2.1 Deere & Company
      • 5.2.1.1 Overview
      • 5.2.1.2 Top Products/Product Portfolio
      • 5.2.1.3 Top Competitors
      • 5.2.1.4 Target Customers
      • 5.2.1.5 Key Personnel
      • 5.2.1.6 Analyst View
      • 5.2.1.7 Market Share
    • 5.2.2 Microsoft
      • 5.2.2.1 Overview
      • 5.2.2.2 Top Products/Product Portfolio
      • 5.2.2.3 Top Competitors
      • 5.2.2.4 Target Customers
      • 5.2.2.5 Key Personnel
      • 5.2.2.6 Analyst View
      • 5.2.2.7 Market Share
    • 5.2.3 CNH Industrial N.V.
      • 5.2.3.1 Overview
      • 5.2.3.2 Top Products/Product Portfolio
      • 5.2.3.3 Top Competitors
      • 5.2.3.4 Target Customers
      • 5.2.3.5 Key Personnel
      • 5.2.3.6 Analyst View
      • 5.2.3.7 Market Share
    • 5.2.4 Robert Bosch GmbH
      • 5.2.4.1 Overview
      • 5.2.4.2 Top Products/Product Portfolio
      • 5.2.4.3 Top Competitors
      • 5.2.4.4 Target Customers
      • 5.2.4.5 Key Personnel
      • 5.2.4.6 Analyst View
      • 5.2.4.7 Market Share
    • 5.2.5 Kalera Inc.
      • 5.2.5.1 Overview
      • 5.2.5.2 Top Products/Product Portfolio
      • 5.2.5.3 Top Competitors
      • 5.2.5.4 Target Customers
      • 5.2.5.5 Key Personnel
      • 5.2.5.6 Analyst View
      • 5.2.5.7 Market Share
    • 5.2.6 Heliospectra AB
      • 5.2.6.1 Overview
      • 5.2.6.2 Top Products/Product Portfolio
      • 5.2.6.3 Top Competitors
      • 5.2.6.4 Target Customers
      • 5.2.6.5 Key Personnel
      • 5.2.6.6 Analyst View
      • 5.2.6.7 Market Share
    • 5.2.7 Signify Holding
      • 5.2.7.1 Overview
      • 5.2.7.2 Top Products/Product Portfolio
      • 5.2.7.3 Top Competitors
      • 5.2.7.4 Target Customers
      • 5.2.7.5 Key Personnel
      • 5.2.7.6 Analyst View
      • 5.2.7.7 Market Share
    • 5.2.8 AKVA Group ASA
      • 5.2.8.1 Overview
      • 5.2.8.2 Top Products/Product Portfolio
      • 5.2.8.3 Top Competitors
      • 5.2.8.4 Target Customers
      • 5.2.8.5 Key Personnel
      • 5.2.8.6 Analyst View
      • 5.2.8.7 Market Share
    • 5.2.9 Eruvaka Technologies
      • 5.2.9.1 Overview
      • 5.2.9.2 Top Products/Product Portfolio
      • 5.2.9.3 Top Competitors
      • 5.2.9.4 Target Customers
      • 5.2.9.5 Key Personnel
      • 5.2.9.6 Analyst View
      • 5.2.9.7 Market Share
    • 5.2.10 AGRIVI
      • 5.2.10.1 Overview
      • 5.2.10.2 Top Products/Product Portfolio
      • 5.2.10.3 Top Competitors
      • 5.2.10.4 Target Customers
      • 5.2.10.5 Key Personnel
      • 5.2.10.6 Analyst View
      • 5.2.10.7 Market Share
    • 5.2.11 Climate LLC
      • 5.2.11.1 Overview
      • 5.2.11.2 Top Products/Product Portfolio
      • 5.2.11.3 Top Competitors
      • 5.2.11.4 Target Customers
      • 5.2.11.5 Key Personnel
      • 5.2.11.6 Analyst View
      • 5.2.11.7 Market Share
    • 5.2.1 AeroFarms
      • 5.2.1.1 Overview
      • 5.2.1.2 Top Products/Product Portfolio
      • 5.2.1.3 Top Competitors
      • 5.2.1.4 Target Customers
      • 5.2.1.5 Key Personnel
      • 5.2.1.6 Analyst View
      • 5.2.1.7 Market Share
    • 5.2.2 AmHydro
      • 5.2.2.1 Overview
      • 5.2.2.2 Top Products/Product Portfolio
      • 5.2.2.3 Top Competitors
      • 5.2.2.4 Target Customers
      • 5.2.2.5 Key Personnel
      • 5.2.2.6 Analyst View
      • 5.2.2.7 Market Share
    • 5.2.3 Connecterra B.V.
      • 5.2.3.1 Overview
      • 5.2.3.2 Top Products/Product Portfolio
      • 5.2.3.3 Top Competitors
      • 5.2.3.4 Target Customers
      • 5.2.3.5 Key Personnel
      • 5.2.3.6 Analyst View
      • 5.2.3.7 Market Share
    • 5.2.4 OSRAM GmbH
      • 5.2.4.1 Overview
      • 5.2.4.2 Top Products/Product Portfolio
      • 5.2.4.3 Top Competitors
      • 5.2.4.4 Target Customers
      • 5.2.4.5 Key Personnel
      • 5.2.4.6 Analyst View
      • 5.2.4.7 Market Share

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
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