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스마트 농업 시장 규모, 점유율, 성장 분석 : 접속 기술별, 농장 규모별, 농업 유형별, 제공 서비스별, 용도별, 지역별 - 산업 예측(2025-2032년)
Smart Agriculture Market Size, Share, and Growth Analysis, By Connecting Technologies (Internet Of Things, Cellular IoT), By Farm Size, By Agriculture Type, By Offering, By Application, By Region - Industry Forecast 2025-2032
상품코드 : 1687514
리서치사 : SkyQuest Technology Consulting Pvt. Ltd.
발행일 : 2025년 03월
페이지 정보 : 영문 178 Pages
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한글목차

스마트 농업 시장 규모는 2023년에 143억 4,000만 달러로, 2024년 157억 달러에서 2032년에는 324억 5,000만 달러로 성장하며, 예측 기간(2025-2032년)의 CAGR은 9.5%로 성장할 전망입니다.

상업용 온실에 대한 수요를 주도하는 것은 작업의 자동화와 수율과 재배 조건을 최적화하기 위한 환경 제어 농업(CEA)의 도입입니다. 재배 농가는 온실 재배의 이점을 인식하고 있으며, 기존 조명 시스템에서 LED 재배 조명으로 전환하고 있으며, LED 재배 조명은 초기 비용은 높지만 장기적인 에너지 효율 측면에서 이점이 있습니다. 한편, 스마트 농업 기업은 첨단 센서와 카메라를 활용하는 장비에 집중하고 있으며, RFID와 GPS 등의 기술을 통해 가축의 실시간 데이터 수집을 강화하고 있습니다. 또한 인프라 상태 센서가 다양한 구조물에 배치되어 상태를 모니터링하고 있습니다. 농업용 로봇은 심기, 수확, 관개 등 주요 농업 프로세스를 자동화하여 현대 농업의 효율성을 더욱 높이고 있습니다.

목차

서론

조사 방법

개요

시장 역학과 전망

주요 시장 인사이트

스마트 농업 시장 규모 : 접속 기술별 & CAGR(2025-2032)

스마트 농업 시장 규모 : 농장 규모별 & CAGR(2025-2032)

스마트 농업 시장 규모 : 농업 유형별 & CAGR(2025-2032)

스마트 농업 시장 규모 : 제공 서비스별 & CAGR(2025-2032)

스마트 농업 시장 규모 : 용도별 & CAGR(2025-2032)

스마트 농업 시장 규모 : 지역별 & CAGR(2025-2032)

경쟁 정보

주요 기업 개요

결론과 제안

KSA
영문 목차

영문목차

Smart Agriculture Market size was valued at USD 14.34 billion in 2023 and is poised to grow from USD 15.7 billion in 2024 to USD 32.45 billion by 2032, growing at a CAGR of 9.5% during the forecast period (2025-2032).

The demand for commercial greenhouses is being driven by the increasing automation of operations and the implementation of controlled environment agriculture (CEA) to optimize yields and growing conditions. Cultivators are recognizing the advantages of greenhouse cultivation, leading to a transition from conventional lighting systems to LED grow lights, which, despite their higher initial cost, offer long-term energy efficiency benefits. Meanwhile, smart agriculture companies are focusing on equipment that utilizes advanced sensors and cameras, enhancing real-time data acquisition on livestock through technologies like RFID and GPS. Additionally, infrastructural health sensors are being deployed across various structures to monitor conditions, while agricultural robots are automating key farming processes such as planting, harvesting, and irrigation, further advancing efficiency in modern agriculture.

Top-down and bottom-up approaches were used to estimate and validate the size of the Smart Agriculture market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Smart Agriculture Market Segments Analysis

Global Smart Agriculture Market is segmented by Connecting Technologies, Farm Size, Agriculture Type, Offering, Application and region. Based on Connecting Technologies, the market is segmented into Internet Of Things (IoT), Cellular IoT, Lora and Global Navigation Satellite System (GNSS). Based on Farm Size, the market is segmented into Large Farms, Medium Farms and Small Farms. Based on Agriculture Type, the market is segmented into Precision Farming, Livestock Monitoring, Precision Aquaculture, Precision Forestry, Smart Greenhouse and Other Agriculture Types. Based on Offering, the market is segmented into Hardware, Software and Services. Based on Application, the market is segmented into Precision Farming, Livestock Monitoring, Precision Aquaculture, Precision Forestry, Smart Greenhouse and Others Application. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Smart Agriculture Market

The Smart Agriculture market is significantly influenced by the rising pressure on the global food supply chain. This demand for innovative agricultural technologies arises from the necessity to enhance food production while utilizing limited resources effectively. Factors such as the need for increased crop yields, constraints posed by finite arable land and water resources, and the adverse effects of climate change on traditional farming methods are propelling the adoption of smart agriculture solutions. Technologies like smart irrigation, soil monitoring, and predictive climate analytics empower farmers to optimize their resource usage, minimize waste, and adapt to evolving weather conditions, thereby fostering sustainable agricultural practices.

Restraints in the Smart Agriculture Market

The smart agriculture market faces significant constraints primarily due to connectivity and infrastructure challenges. Many smart agriculture technologies, including IoT sensors, drones, and cloud-based data analytics platforms, necessitate reliable internet access and advanced digital infrastructure to function effectively. Without stable connectivity, the essential processes of data collection, transmission, and real-time processing are hindered. Additionally, inadequate infrastructure may escalate the costs and intricacies associated with the installation and operation of smart agriculture systems. These barriers pose a substantial hurdle for the widespread adoption of smart agriculture solutions, limiting their potential impact on enhancing agricultural efficiency and productivity.

Market Trends of the Smart Agriculture Market

The Smart Agriculture market is witnessing a robust upward trend, propelled by escalating investments and initiatives aimed at enhancing farming efficiency, sustainability, and productivity. Adoption of precision farming technologies like drones, soil sensors, and satellite imagery is becoming increasingly prevalent, enabling farmers to optimize resource use and minimize costs through real-time data analytics. This shift is further supported by government and private sector initiatives that promote precision irrigation, regenerative agriculture, and organic pest management, aligning with global sustainability objectives. As farmers seek innovative solutions to address climate change and food security challenges, the demand for smart agriculture solutions is expected to flourish.

Table of Contents

Introduction

Research Methodology

Executive Summary

Market Dynamics & Outlook

Key Market Insights

Global Smart Agriculture Market Size by Connecting Technologies Used In Smart Agriculture & CAGR (2025-2032)

Global Smart Agriculture Market Size by Farm Size & CAGR (2025-2032)

Global Smart Agriculture Market Size by Agriculture Type & CAGR (2025-2032)

Global Smart Agriculture Market Size by Offering & CAGR (2025-2032)

Global Smart Agriculture Market Size by Application & CAGR (2025-2032)

Global Smart Agriculture Market Size & CAGR (2025-2032)

Competitive Intelligence

Key Company Profiles

Conclusion & Recommendations

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