아시아태평양의 스마트 작물 정찰 및 스마트 살포 시장 : 분석 및 예측(2023-2028년)

Asia-Pacific Smart Crop Scouting and Smart Spraying Market: Analysis and Forecast, 2023-2028

US $ 2,950 ￦ 4,168,000

PDF and Excel (1-3 User License)

PDF 및 Excel 보고서를 동일 사업장에서 3명까지 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.

US $ 4,450 ￦ 6,287,000

PDF and Excel (Global License)

PDF 및 Excel 보고서를 동일 기업의 모든 분이 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.

한글목차

중국을 제외한 아시아태평양의 스마트 작물 정찰 및 스마트 살포 시장 규모는 2023년 3억 8,030만 달러에서 예측 기간 동안 연평균 20.31%의 연평균 복합 성장률(CAGR)을 나타내고, 2028년에는 9억 5,840만 달러 규모로 성장할 것으로 예상됩니다.

농업 부문이 비용을 최소화하면서 작물 수확량을 늘리는 데 중점을 두면서 이 시장은 크게 성장하고 있습니다. 작물 정찰 및 살포용 스마트 기술은 병해충 관리, 비료 살포 최적화, 효과적인 잡초 방제를 위한 정확하고 목표 지향적인 방법을 제공합니다. 이러한 기술은 농부들이 정보에 입각한 결정을 내리고, 작업 효율을 높이고, 자원 낭비를 줄이고, 환경에 미치는 영향을 줄일 수 있기 때문에 당분간 시장 성장을 가속할 것으로 예상됩니다.

본 보고서는 아시아태평양의 스마트 작물 스카우팅 및 스마트 살포 시장을 조사했으며, 시장 개요, 시장 성장에 영향을 미치는 각종 요인 분석, 규제 환경, 특허 동향, 시장 규모 추이 및 예측, 주요 국가별 상세 분석, 주요 기업 분석 등의 정보를 정리하여 전해드립니다.

주요 시장 통계
예측 기간	2023-2028년
2023년 평가	3억 8,030만 달러
2028년 예측	9억 5,840만 달러
CAGR	20.31%

시장 분류

세분화 1: 용도별

• 정찰
• 살포

세분화 2 : 정찰 제품별

• 장비
• 소프트웨어

세분화 3: 스프레이 제품별

• 트랙터 탑재형 살포기 및 자력식 살포기
• 로봇 살포기
• 드론 살포기

세분화 4: 국가별

• 일본
• 인도
• 한국
• 호주 및 뉴질랜드
• 기타

목차

주요 요약

조사 범위

제1장 시장

• 업계 전망
  • 시장의 정의
  • 현재 동향
  • 에코시스템/진행 중인 프로그램
• 사업 역학
  • 사업 촉진요인
  • 사업상 과제
  • 시장 전략과 전개
  • 사업 기회
• 지정학적 및 사회경제적 영향
  • COVID-19의 영향
  • 러시아·우크라이나 영향
• 스타트업 상황
  • 에코시스템의 주요 스타트업 기업
  • 자금조달 분석

제2장 지역

• 중국
  • 시장
  • 용도
  • 제품
• 아시아태평양
  • 시장
  • 용도
  • 제품
  • 아시아태평양(국가별)

제3장 시장 : 경쟁 벤치마킹 및 기업 개요

• 경쟁 벤치마킹
  • 경쟁 매트릭스
  • 시장 점유율 분석
• 경쟁 분석
• 기업 개요
  • 스마트 작물 스카우팅

제4장 조사 방법

LSH

영문 목차

영문목차

“The Asia-Pacific Smart Crop Scouting and Smart Spraying Market (excluding China) Expected to Reach $958.4 Million by 2028.”

Introduction to Asia-Pacific Smart Crop Scouting and Smart Spraying Market

The Asia-Pacific smart crop scouting and smart spraying market (excluding China) was valued at $380.3 million in 2023, which is expected to grow with a CAGR of 20.31% and reach $958.4 million by 2028. The smart crop scouting and smart spraying market is experiencing significant expansion, primarily due to the agricultural sector's increasing focus on achieving greater crop yields while minimizing expenses. Smart technologies for crop scouting and spraying provide precise and targeted methods for managing pests and diseases, optimizing nutrient application, and effectively controlling weeds. By empowering farmers to make informed decisions based on data, improving operational efficiency, reducing resource wastage, and mitigating environmental effects, these technologies are expected to drive the market's growth in the foreseeable future.

KEY MARKET STATISTICS
Forecast Period	2023 - 2028
2023 Evaluation	$380.3 Million
2028 Forecast	$958.4 Million
CAGR	20.31%

Market Introduction

The Asia-Pacific (APAC) region is witnessing substantial growth in the Smart Crop Scouting and Smart Spraying Market. This growth is primarily attributed to the region's thriving agricultural sector and the increasing adoption of advanced farming techniques. Smart crop scouting and spraying technologies are gaining prominence in APAC as they enable farmers to enhance crop management precision. These technologies offer targeted solutions for pest control, disease management, optimized nutrient application, and weed control, resulting in improved crop yields and reduced operational costs. Additionally, the rising awareness of sustainable agriculture practices and the need to minimize environmental impact are driving the demand for smart agricultural solutions in the APAC region. As a result, the Smart Crop Scouting and Smart Spraying Market in APAC are poised for continued expansion in the coming years.

Market Segmentation:

Segmentation 1: by Application

• Scouting
• Spraying

Segmentation 2: by Scouting Product

• Equipment
• Software

Segmentation 3: Spraying by Product

• Tractor Mounted and Self-Propelled Sprayers
• Robotic Sprayers
• Drone Sprayers

Segmentation 4: by Country

• Japan
• India
• South Korea
• Australia and New Zealand
• Rest-of-Asia-Pacific

How Can This Report Add Value to an Organization?

Market Insight: The report on the APAC smart crop scouting and smart spraying market offers valuable insights into the industry landscape, market trends, and growth drivers. It provides a comprehensive understanding of the various smart spraying products, including tractor mounted and self-propelled sprayers, robotic sprayers, and drone sprayers. Additionally, it covers the scouting equipment used in the industry, such as drones, robots, and others. Moreover, the report discusses smart spraying applications, such as nutrient application and crop protection chemicals. This information allows organizations to gain a deeper understanding of market dynamics and identify potential opportunities for their products and applications.

Product/Innovation Strategy: By highlighting the different smart spraying products and scouting equipment, the report enables organizations to assess the market demand and adoption of these technologies. It provides insights into the advancements and innovations in the industry, helping organizations align their product development strategies to meet market requirements. Furthermore, the report explores the diverse smart spraying applications, assisting organizations in identifying areas for product diversification and expansion.

Competitive Strategy: The report profiles major players in the APAC smart crop scouting and smart spraying market, including manufacturers of spraying equipment and scouting technology providers. It assesses their competitive landscape, product portfolios, and strategies. Organizations can gain insights into their competitors' strengths and weaknesses, identify potential partnerships or collaborations, and position themselves effectively in the market.

Table of Contents

Executive Summary

Scope of the Study

1. Market

• 1.1. Industry Outlook
  • 1.1.1. Market Definition
  • 1.1.2. Ongoing Trends
    • 1.1.2.1. Emerging Innovative Network Technology for Smart Crop Scouting
      • 1.1.2.1.1. Satellite
      • 1.1.2.1.2. LoRaWAN
      • 1.1.2.1.3. 5G
    • 1.1.2.2. Emerging Imaging and Data Collection Technologies
      • 1.1.2.2.1. Hyperspectral Imaging
      • 1.1.2.2.2. Multispectral Imaging
      • 1.1.2.2.3. Thermal Imaging
      • 1.1.2.2.4. LiDAR
  • 1.1.3. Ecosystem/Ongoing Programs
    • 1.1.3.1. Consortiums and Associations
    • 1.1.3.2. Regulatory Bodies
    • 1.1.3.3. Government Initiatives and Impact
• 1.2. Business Dynamics
  • 1.2.1. Business Drivers
    • 1.2.1.1. Need for Higher Production at Limited Resources
      • 1.2.1.1.1. Labor Shortage
    • 1.2.1.2. Increased Focus on Sustainable Agriculture
      • 1.2.1.2.1. Growing Demand for Organic and Non-GMO Crops
  • 1.2.2. Business Challenges
    • 1.2.2.1. High Initial Investment
    • 1.2.2.2. Data Security Related Concerns
    • 1.2.2.3. Compatibility with Existing Equipment
    • 1.2.2.4. Limited Availability of Skilled Labor
  • 1.2.3. Market Strategies and Developments
    • 1.2.3.1. Business Strategies
      • 1.2.3.1.1. Product Development and Innovations
      • 1.2.3.1.2. Business Expansion
    • 1.2.3.2. Corporate Strategies
      • 1.2.3.2.1. Partnerships, Joint Ventures, Collaborations, and Alliances
      • 1.2.3.2.2. Mergers and Acquisitions
      • 1.2.3.2.3. Others
      • 1.2.3.2.4. Snapshot of Corporate Strategies Adopted by the Players in Smart Crop Scouting and Smart Spraying Market
    • 1.2.3.3. Case Studies
      • 1.2.3.3.1. See & Spray Ultimate Sprayer Case Study
      • 1.2.3.3.2. 5G Connected Autonomous Robots by KPN and AGROiNTELLi
      • 1.2.3.3.3. DJI Drone-Based Roden Control Case Study
  • 1.2.4. Business Opportunities
    • 1.2.4.1. Integral Offerings with Horizontal Integration in Farming
    • 1.2.4.2. Climate-Smart Agriculture
• 1.3. Geopolitical and Socioeconomic Impacts
  • 1.3.1. Impact of COVID-19 on Smart Crop Scouting and Smart Spraying Market
  • 1.3.2. Impact of Russia-Ukraine on Smart Crop Scouting and Smart Spraying Market
• 1.4. Startup Landscape
  • 1.4.1. Key Startups in the Ecosystem
  • 1.4.2. Funding Analysis
    • 1.4.2.1. Total Investment and Number of Funding Deals
    • 1.4.2.2. Top Investors
    • 1.4.2.3. Top Funding Deals by the Startups and Investors
    • 1.4.2.4. Funding Analysis (by Country)

2. Region

• 2.1. China
  • 2.1.1. Market
    • 2.1.1.1. Key Smart Crop Scouting and Smart Spraying Operators in China
    • 2.1.1.2. Buyer Attributes
      • 2.1.1.2.1. Farm Size, Labor Availability, and State of Digitization in Agriculture
      • 2.1.1.2.2. Crop Pattern and Biotic and Abiotic Stress Factors
      • 2.1.1.2.3. Smart Crop Scouting Acreage (by Company)
    • 2.1.1.3. Business Challenges
    • 2.1.1.4. Business Drivers
  • 2.1.2. Application
    • 2.1.2.1. China Smart Crop Scouting Market (by Application)
    • 2.1.2.2. China Smart Spraying Market (by Application)
  • 2.1.3. Product
    • 2.1.3.1. China Smart Crop Scouting Market (by Product)
    • 2.1.3.2. China Smart Spraying Market (by Product)
• 2.2. Asia-Pacific
  • 2.2.1. Market
    • 2.2.1.1. Key Smart Crop Scouting and Smart Spraying Operators in the Asia-Pacific
    • 2.2.1.2. Buyer Attributes
      • 2.2.1.2.1. Farm Size, Labor Availability, and State of Digitization in Agriculture
      • 2.2.1.2.2. Crop Pattern and Biotic and Abiotic Stress Factors
      • 2.2.1.2.3. Smart Crop Scouting Acreage (by Company)
    • 2.2.1.3. Business Challenges
    • 2.2.1.4. Business Drivers
  • 2.2.2. Application
    • 2.2.2.1. Asia-Pacific Smart Crop Scouting Market (by Application)
    • 2.2.2.2. Asia-Pacific Smart Spraying Market (by Application)
  • 2.2.3. Product
    • 2.2.3.1. Asia-Pacific Smart Crop Scouting Market (by Product)
    • 2.2.3.2. Asia-Pacific Smart Spraying Market (by Product)
  • 2.2.4. Asia-Pacific (by Country)
    • 2.2.4.1. Japan
      • 2.2.4.1.1. Market
        • 2.2.4.1.1.1. Buyer Attributes
        • 2.2.4.1.1.1.1. Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 2.2.4.1.1.1.2. Crop Pattern and Biotic and Abiotic Stress Factors
        • 2.2.4.1.1.2. Business Challenges
        • 2.2.4.1.1.3. Business Drivers
      • 2.2.4.1.2. Application
        • 2.2.4.1.2.1. Japan Smart Crop Scouting Market (by Application)
        • 2.2.4.1.2.2. Japan Smart Spraying Market (by Application)
      • 2.2.4.1.3. Product
        • 2.2.4.1.3.1. Japan Smart Crop Scouting Market (by Product)
        • 2.2.4.1.3.2. Japan Smart Spraying Market (by Product)
    • 2.2.4.2. India
      • 2.2.4.2.1. Market
        • 2.2.4.2.1.1. Buyer Attributes
        • 2.2.4.2.1.1.1. Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 2.2.4.2.1.1.2. Crop Pattern and Biotic and Abiotic Stress Factors
        • 2.2.4.2.1.2. Business Challenges
        • 2.2.4.2.1.3. Business Drivers
      • 2.2.4.2.2. Application
        • 2.2.4.2.2.1. India Smart Crop Scouting Market (by Application)
        • 2.2.4.2.2.2. India Smart Spraying Market (by Application)
      • 2.2.4.2.3. Product
        • 2.2.4.2.3.1. India Smart Crop Scouting Market (by Product)
        • 2.2.4.2.3.2. India Smart Spraying Market (by Product)
    • 2.2.4.3. South Korea
      • 2.2.4.3.1. Market
        • 2.2.4.3.1.1. Buyer Attributes
        • 2.2.4.3.1.1.1. Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 2.2.4.3.1.1.2. Crop Pattern and Biotic and Abiotic Stress Factors
        • 2.2.4.3.1.2. Business Challenges
        • 2.2.4.3.1.3. Business Drivers
      • 2.2.4.3.2. Application
        • 2.2.4.3.2.1. South Korea Smart Crop Scouting Market (by Application)
        • 2.2.4.3.2.2. South Korea Smart Spraying Market (by Application)
      • 2.2.4.3.3. Product
        • 2.2.4.3.3.1. South Korea Smart Crop Scouting Market (by Product)
        • 2.2.4.3.3.2. South Korea Smart Spraying Market (by Product)
    • 2.2.4.4. Australia and New Zealand
      • 2.2.4.4.1. Market
        • 2.2.4.4.1.1. Buyer Attributes
        • 2.2.4.4.1.1.1. Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 2.2.4.4.1.1.2. Crop Pattern and Biotic and Abiotic Stress Factors
        • 2.2.4.4.1.2. Business Challenges
        • 2.2.4.4.1.3. Business Drivers
      • 2.2.4.4.2. Application
        • 2.2.4.4.2.1. Australia and New Zealand Smart Crop Scouting Market (by Application)
        • 2.2.4.4.2.2. Australia and New Zealand Smart Spraying Market (by Application)
      • 2.2.4.4.3. Product
        • 2.2.4.4.3.1. Australia and New Zealand Smart Crop Scouting Market (by Product)
        • 2.2.4.4.3.2. Australia and New Zealand Smart Spraying Market (by Product)
    • 2.2.4.5. Rest-of-Asia-Pacific
      • 2.2.4.5.1. Market
        • 2.2.4.5.1.1. Buyer Attributes
        • 2.2.4.5.1.1.1. Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 2.2.4.5.1.1.2. Crop Pattern and Biotic and Abiotic Stress Factors
        • 2.2.4.5.1.2. Business Challenges
        • 2.2.4.5.1.3. Business Drivers
      • 2.2.4.5.2. Application
        • 2.2.4.5.2.1. Rest-of-APAC Smart Crop Scouting Market (by Application)
        • 2.2.4.5.2.2. Rest-of-APAC Smart Spraying Market (by Application)
      • 2.2.4.5.3. Product
        • 2.2.4.5.3.1. Rest-of-APAC Smart Crop Scouting Market (by Product)
        • 2.2.4.5.3.2. Rest-of-APAC Smart Spraying Market (by Product)

3. Market - Competitive Benchmarking and Company Profiles

• 3.1. Competitive Benchmarking
  • 3.1.1. Competitive Position Matrix
    • 3.1.1.1. Smart Crop Scouting
    • 3.1.1.2. Smart Spraying Market
  • 3.1.2. Market Share Analysis
    • 3.1.2.1. Smart Crop Scouting Market
    • 3.1.2.2. Smart Spraying Market
• 3.2. Competitive Analysis
• 3.3. Company Profiles
  • 3.3.1. Smart Crop Scouting
    • 3.3.1.1. Cropin Technology Solutions Private Limited
      • 3.3.1.1.1. Company Overview
      • 3.3.1.1.2. Role of Cropin Technology Solutions Private Limited in Smart Crop Scouting and Smart Spraying Market
      • 3.3.1.1.3. Product Portfolio
      • 3.3.1.1.4. Customer Profile
        • 3.3.1.1.4.1. Target Customers
        • 3.3.1.1.4.2. Key Clients
      • 3.3.1.1.5. Business Strategies
        • 3.3.1.1.5.1. Product Developments
      • 3.3.1.1.6. Corporate Strategies
        • 3.3.1.1.6.1. Partnerships, Joint Ventures, Collaborations, and Alliances
      • 3.3.1.1.7. Analyst View

4. Research Methodology

• 4.1. Data Sources
  • 4.1.1. Primary Data Sources
  • 4.1.2. Secondary Data Sources
  • 4.1.3. Data Triangulation
• 4.2. Market Estimation and Forecast

관련자료