세계의 디지털 농업 시장 : 제공별, 기술별(주변, 코어), 작업별(농작업 및 사료 공급, 모니터링 및 스카우팅, 마케팅 및 수요 창출), 유형별(하드웨어, 소프트웨어, 서비스), 지역별 - 예측(-2028년)
Digital Agriculture Market Offering, Technology (Peripheral, Core), Operation (Farming & Feeding, Monitoring & Scouting, Marketing & Demand Generation) Type (Hardware, Software, Services), Region - Global Forecast to 2028
상품코드:1421499
리서치사:MarketsandMarkets
발행일:2024년 01월
페이지 정보:영문 490 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
전 세계 디지털 농업 시장은 예측 기간 동안 10.3%의 CAGR로 확대되어 2023년 220억 달러에서 2028년 360억 달러로 성장할 것으로 예상됩니다.
디지털 농업은 인공지능(AI), 빅데이터, 블록체인, 클라우드 컴퓨팅과 같은 신흥 기술에 힘입어 큰 변화의 시기를 맞이하고 있습니다. 이러한 기술들은 투명성, 효율성, 지속가능성에 큰 영향을 미치면서 식량을 재배, 관리, 유통하는 방식에 혁명을 일으키기 위해 협력하고 있습니다. 블록체인은 기상 센서, 토양 분석, 위성 이미지 등 다양한 소스의 데이터를 통합하여 관개, 시비, 해충 방제에 대한 실시간 인사이트를 농부들에게 제공할 수 있으며, AI 시스템은 드론, 농업용 로봇 또는 농부가 스마트폰 카메라로 촬영한 디지털 이미지를 분석하여 해충을 탐지할 수 있습니다. 디지털 이미지를 검토하여 해충을 탐지하고, 해충의 확산을 방지하고, 피해를 입은 식물을 치료하거나 피해를 줄이는 방법에 대한 구체적인 조언을 농업 종사자에게 제공할 수 있습니다. 동시에 AI는 가축의 행동 데이터를 분석하여 이상 징후를 감지하고 질병에 걸릴 가능성이 있는 가축을 식별하여 적시에 치료할 수 있도록 돕습니다.
조사 범위
조사 대상 연도
2023-2028년
기준 연도
2022년
예측 기간
2023-2028년
검토 단위
금액(달러)
부문별
제공별, 유형별, 작업별, 기술별, 지역별
대상 지역
북미, 유럽, 아시아태평양, 남미 및 기타 지역
또한, 디지털 기술의 보급성, 사용 편의성 및 이동성으로 인해 농업과 식품 생산의 상황이 크게 변화하고 있습니다. 특히 농업 및 식품 분야에서 모바일 기술, 원격 감지 서비스, 분산 컴퓨팅의 보급은 이미 소농의 중요한 정보, 투입물 및 시장에 대한 접근성을 향상시키고 있습니다. 이러한 변화는 생산 및 생산성 향상, 보다 효율적인 공급망, 운영 비용 절감으로 이어지고 있습니다. 이러한 데이터 기반 접근 방식은 자원 배분을 최적화하고 낭비를 줄이며 수확량을 증가시키는 데 도움이 됩니다.
디지털 농업 산업에서 모니터링과 스카우팅은 작물의 건강과 성능에 대한 실시간 인사이트를 얻기 위해 기술을 활용하는 두 가지 중요한 관행입니다. 모니터링과 스카우팅은 디지털 농업에 필수적인 도구로, 농부들이 작물을 능동적으로 관리하고, 자원을 최적화하며, 수확량을 극대화할 수 있도록 돕습니다. 센서, 드론, AI 등 다양한 기술을 활용한 이러한 기술은 농부들에게 실시간 데이터와 인사이트를 제공하여 정보에 입각한 의사결정을 내릴 수 있도록 돕습니다. 지속적인 데이터 수집과 분석을 통해 농부들은 보다 건강하고 생산적이며 지속가능한 농장 운영으로 이어질 수 있는 정보에 입각한 의사결정을 내릴 수 있습니다.
이 보고서는 세계 디지털 농업 시장을 조사하여 제공별, 유형별, 작업별, 기술별, 지역별 동향, 시장 진입 기업 개요 등을 정리한 보고서입니다.
목차
제1장 서론
제2장 조사 방법
제3장 주요 요약
제4장 주요 인사이트
제5장 시장 개요
서론
거시경제 지표
시장 역학
제6장 업계 동향
서론
농업 산업 상황
밸류체인 분석
기술 분석
특허 분석
생태계와 시장 맵
무역 분석
가격 분석
고객의 비지니스에 영향을 미치는 동향/혼란
주요 회의와 이벤트
관세와 규제 상황
사례 연구 분석
Porter's Five Forces 분석
주요 이해관계자와 구입 기준
제7장 디지털 농업 시장, 제공별
서론
자문 서비스
정밀한 농업과 농장 관리
품질 관리와 이력추적
디지털 조달
E-Commerce
금융 업무
제8장 디지털 농업 시장, 기술별
서론
주변 기술
코어 기술
제9장 디지털 농업 시장, 작업별
서론
농작업·사료 공급
모니터링·스카우팅
마케팅·수요 창출
제10장 디지털 농업 시장, 유형별
서론
하드웨어
소프트웨어
서비스
제11장 디지털 농업 시장, 지역별
서론
북미
유럽
아시아태평양
남미
기타 지역
제12장 경쟁 상황
개요
주요 진출 기업 전략/비책
매출 분석
시장 점유율 분석
주요 기업 연간 매출 VS. 성장
주요 기업 EBITDA
주요 시장 진출 기업 세계 현황
기업 평가 쿼드런트 : 주요 기업
기업 평가 매트릭스 : 스타트업/중소기업
경쟁 시나리오
제13장 기업 개요
주요 진출 기업
CISCO SYSTEMS, INC.
IBM CORPORATION
ACCENTURE
DEERE & COMPANY
TRIMBLE INC.
AKVA GROUP
HEXAGON AB
BAYER AG
AGCO CORPORATION
DELAVAL
기타 기업
DJI
EPICOR SOFTWARE CORPORATION
VODAFONE GROUP PLC
RAVEN INDUSTRIES, INC.
EUROFINS SCIENTIFIC
TELUS
SMALL ROBOT COMPANY
GAMAYA
PRECISIONHAWK
AGRICULTURAL CONSULTING SERVICES
AGREENA
CERES IMAGING
ZEMDIRBIU KONSULTACIJOS UAB
EC2CE
ARABLE
제14장 인접 시장 및 관련 시장
제15장 부록
ksm
영문 목차
영문목차
Report Description
The digital agriculture market is projected to grow from USD 22.0 Billion in 2023 to USD 36.0 Billion by 2028, at a CAGR of 10.3% during the forecast period. The digital agriculture industry is undergoing a major transformation, fueled by emerging technologies like artificial intelligence (AI), big data, blockchain, cloud computing, etc. These forces are working together to revolutionize the way we grow, manage, and distribute food, with significant impacts on transparency, efficiency, and sustainability. Blockchain can integrate data from various sources like weather sensors, soil analysis, and satellite imagery to provide farmers with real-time insights on irrigation, fertilization, and pest control. AI systems can examine digital images taken by drones, agricultural robots, or farmers using a simple smartphone camera to detect pests and give concrete advice to agricultural workers on how to prevent their spread, treat affected plants, or mitigate the damage caused. At the same time, AI can analyze data on the behavior of livestock to detect abnormalities and identify potentially sick animals, thus allowing timely treatment. (Source: FAO and International Telecommunication Union Report, 2021).
Scope of the Report
Years Considered for the Study
2023-2028
Base Year
2022
Forecast Period
2023-2028
Units Considered
Value (USD)
Segments
By Offering, Type, Operation, Technology, and Region
Regions covered
North America, Europe, Asia Pacific, South America, and RoW
Moreover, the pervasive nature, ease of use, and mobility of digital technologies are reshaping the landscape of agriculture and food production. Particularly in the agriculture and food sector, the proliferation of mobile technologies, remote-sensing services, and distributed computing is already enhancing smallholders' access to vital information, inputs, and markets. This transformation is leading to increased production and productivity, more efficient supply chains, and reduced operational costs. Thus, this data-driven approach optimizes resource allocation, reduces waste, and leads to increased yields.
During the projected period, the monitoring & scouting category within the spectrum of operation segment is anticipated to exhibit the most rapid growth, boasting the highest Compound Annual Growth Rate (CAGR).
In the digital agriculture industry, monitoring and scouting are two crucial practices that leverage technology to gain real-time insights into the health and performance of crops. Monitoring and scouting are essential tools in digital agriculture, allowing farmers to proactively manage their crops, optimize resources, and maximize yield. These techniques, powered by various technologies like sensors, drones, and AI, provide farmers with real-time data and insights to make informed decisions. By continuously collecting and analyzing data, farmers can make informed decisions that lead to a healthier, more productive, and sustainable farm operation.
Moreover, the integration with the SAS (Satellite Agriculture Solution) system enables precise resource allocation, optimizing the use of water, fertilizers, and pesticides based on the specific needs of different parts of the field. As stated in the Artificial Intelligence for Agriculture Report of the International Telecommunication Union (ITU), and FAO (2021), XAG has mobilized its partners and service providers to serve 40 million hectares of farmland with smart agtech, contributing to a total increase in crop yield of 3 490 000 tonnes. Farming labor costs have also been substantially reduced while removing occupational health risks for field workers. Thus, the integration of AI, as exemplified by XAG's initiative, showcases the transformative potential of digital agriculture. It not only addresses specific challenges in monitoring and scouting but also contributes to the overall efficiency, sustainability, and productivity of modern farming practices.
Peripheral technology is dominant within the technology segment of the market.
Peripheral technologies in digital agriculture are essentially the sensors, actuators, and other devices that collect and transmit data about the farm environment and the crops or livestock being raised. These devices can be mounted on drones, tractors, irrigation systems, or even directly on plants or animals. They can measure a wide range of factors, such as soil moisture, nutrient levels, temperature, humidity, pest and disease pressure, and plant growth. Platforms and apps that provide real-time data on soil health, crop conditions, and weather patterns are in high demand. This allows farmers to optimize irrigation, fertilizer application, and pest control, leading to increased yield and reduced costs.
The dominance of peripheral technology in the digital agriculture market is expected to continue in the coming years. As the cost of sensors and other peripheral technologies continues to decline, and as farmers become more comfortable with using data to make decisions, the adoption of these technologies is likely to accelerate.
The break-up of the profile of primary participants in the digital agriculture market:
By Company Type: Tier 1 - 30%, Tier 2 - 45%, and Tier 3 - 25%
By Designation: C Level - 25%, Director Level - 50%, Others-25%
By Region: North America - 30%, Europe - 35%, Asia Pacific - 15%, South America - 10%, and Rest of the World -10%
Prominent companies are Cisco Systems, Inc. (US), IBM Corporation (US), Accenture (Ireland), Deere & Company (US), and Trimble Inc. (US) among others.
Research Coverage:
This research report categorizes the digital agriculture market by Offering (Advisory Services, Precision Agriculture & Farm Management, Quality Management & Traceability, Digital Procurement, Agri E-commerce, and Financial Services), Technology (Peripheral Technology, and Core Technology), Type (Hardware, Software, and Services), Operation (Farming & Feeding, Monitoring & Scouting, and Marketing & Demand Generation), and Region (North America, Europe, Asia Pacific, South America, and RoW). The report covers information about the key factors, such as drivers, restraints, opportunities, and challenges impacting the growth of the digital agriculture market. It also provides a detailed analysis of the major players in the market including their business overview, products offered; key strategies; partnerships, new product launches, and acquisitions. Competitive benchmarking of upcoming startups in the digital agriculture market is covered in this report.
Reasons to buy this report:
The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall digital agriculture market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
Analysis of key drivers (Demand for optimization of farm management using agricultural services and software integration, Increase in initiatives by the government and key players operating in the market, Growth in concerns regarding ecosystem change, Increasing adoption of IoT and AI by farmers and agriculturists), restraints (Lack of technical knowledge and training activities, and Large number of fragmented lands in developing countries), opportunity (Increase in the use of agricultural-based software via smartphones, and Early detection of crop diseases and ease of farm management), and challenges (High cost of devices and software to impact adoption among small-scale farmers, and Rise in concerns regarding data management and requirement for adequate training) influencing the growth of the digital agriculture market.
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the digital agriculture market.
Market Development: Comprehensive information about lucrative markets - the report analyses the digital agriculture market across varied regions.
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the digital agriculture market.
Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like Cisco Systems, Inc. (US), IBM Corporation (US), Accenture (Ireland), Deere & Company (US), and Trimble Inc. (US) among others in the digital agriculture market strategies. The report also helps stakeholders understand the digital agriculture market and provides them with information on key market drivers, restraints, challenges, and opportunities.
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKET SEGMENTATION
FIGURE 1 DIGITAL AGRICULTURE MARKET SEGMENTATION
1.3.2 INCLUSIONS AND EXCLUSIONS
TABLE 1 INCLUSIONS AND EXCLUSIONS
1.3.3 REGIONS COVERED
FIGURE 2 DIGITAL AGRICULTURE MARKET SEGMENTATION, BY REGION
1.3.4 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
TABLE 2 USD EXCHANGE RATES, 2018-2022
1.4.1 VOLUME UNIT CONSIDERED
1.5 STAKEHOLDERS
1.6 SUMMARY OF CHANGES
1.6.1 RECESSION IMPACT
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
FIGURE 3 DIGITAL AGRICULTURE MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.1.1 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Key data from primary sources
2.1.2.2 Key primary insights
2.1.2.3 Breakdown of primary interviews
FIGURE 4 BREAKDOWN OF PRIMARY INTERVIEWS, BY COMPANY TYPE, DESIGNATION, AND REGION
2.2 MARKET SIZE ESTIMATION
2.2.1 MARKET SIZE ESTIMATION: BOTTOM-UP APPROACH
FIGURE 5 DIGITAL AGRICULTURE MARKET SIZE ESTIMATION: BOTTOM-UP APPROACH
2.2.2 MARKET SIZE ESTIMATION: TOP-DOWN APPROACH
FIGURE 6 DIGITAL AGRICULTURE MARKET SIZE ESTIMATION: TOP-DOWN APPROACH (BASED ON GLOBAL MARKET)
2.3 DATA TRIANGULATION
FIGURE 7 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
FIGURE 8 RESEARCH ASSUMPTIONS
2.5 LIMITATIONS & RISK ASSESSMENT
2.6 RECESSION IMPACT ANALYSIS
2.6.1 RECESSION MACROINDICATORS
FIGURE 9 INDICATORS OF RECESSION
FIGURE 10 GLOBAL INFLATION RATE, 2012-2022
FIGURE 11 GLOBAL GROSS DOMESTIC PRODUCT, 2012-2022 (USD TRILLION)
FIGURE 12 RECESSION INDICATORS AND THEIR IMPACT ON DIGITAL AGRICULTURE MARKET
FIGURE 13 GLOBAL DIGITAL AGRICULTURE MARKET: CURRENT FORECAST VS. RECESSION FORECAST
3 EXECUTIVE SUMMARY
TABLE 3 DIGITAL AGRICULTURE MARKET SNAPSHOT, 2023 VS. 2028
FIGURE 14 DIGITAL AGRICULTURE MARKET, BY TYPE, 2023 VS. 2028 (USD MILLION)
FIGURE 15 DIGITAL AGRICULTURE MARKET, BY OPERATION, 2023 VS. 2028 (USD MILLION)
FIGURE 16 DIGITAL AGRICULTURE MARKET, BY OFFERING, 2023 VS. 2028 (USD MILLION)
FIGURE 17 DIGITAL AGRICULTURE MARKET, BY TECHNOLOGY, 2023 VS. 2028 (USD MILLION)
FIGURE 18 DIGITAL AGRICULTURE MARKET SHARE (VALUE), BY REGION, 2023
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN DIGITAL AGRICULTURE MARKET
FIGURE 19 HIGH ADOPTION OF DIGITAL AGRICULTURE IN DEVELOPING MARKETS TO FUEL MARKET GROWTH
4.2 DIGITAL AGRICULTURE MARKET: SHARE OF MAJOR REGIONAL SUBMARKETS
FIGURE 20 US TO ACCOUNT FOR LARGEST SHARE DURING FORECAST PERIOD
4.3 ASIA PACIFIC: DIGITAL AGRICULTURE MARKET, BY TYPE & COUNTRY
FIGURE 21 HARDWARE AND CHINA TO ACCOUNT FOR LARGEST SEGMENTAL SHARES IN ASIA PACIFIC MARKET IN 2023
4.4 DIGITAL AGRICULTURE MARKET, BY TYPE
FIGURE 22 DIGITAL AGRICULTURE HARDWARE TO LEAD MARKET ACROSS REGIONS DURING FORECAST PERIOD
4.5 DIGITAL AGRICULTURE MARKET, BY OPERATION
FIGURE 23 FARMING & FEEDING OPERATIONS TO DOMINATE DURING FORECAST PERIOD
4.6 DIGITAL AGRICULTURE MARKET, BY OFFERING
FIGURE 24 PRECISION AGRICULTURE & FARM MANAGEMENT OFFERING TO ACCOUNT FOR LION'S SHARE DURING FORECAST PERIOD
4.7 DIGITAL AGRICULTURE MARKET, BY TECHNOLOGY
FIGURE 25 PERIPHERAL TECHNOLOGIES TO DOMINATE DIGITAL AGRICULTURE MARKET DURING FORECAST PERIOD
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MACROECONOMIC INDICATORS
5.2.1 INTRODUCTION
5.2.2 DIGITALIZATION IN AGRICULTURAL SECTOR
FIGURE 26 SMARTPHONE SUBSCRIBER PENETRATION, BY REGION, 2022 VS 2030
FIGURE 27 GLOBAL GNSS DEMAND, 2021 VS 2031 (EUR BILLION)
5.3 MARKET DYNAMICS
FIGURE 28 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: DIGITAL AGRICULTURE MARKET
5.3.1 DRIVERS
5.3.1.1 Demand for optimization of farm management using agricultural services and software integration.
5.3.1.2 Increase in initiatives by government and key players
5.3.1.3 Growth in need for optimization in light of ecological changes
5.3.1.4 Increase in adoption of IoT and AI by farmers and agriculturists
5.3.2 RESTRAINTS
5.3.2.1 Lack of technical knowledge and training activities
5.3.2.2 Large number of fragmented lands in emerging economies
5.3.3 OPPORTUNITIES
5.3.3.1 Increase in use of agriculture-based software via smartphones
5.3.3.2 Early detection of crop diseases and ease of farm management
5.3.4 CHALLENGES
5.3.4.1 High cost of devices and software to impact adoption among small-scale farmers
5.3.4.2 Rise in concerns regarding data management and requirement for adequate training
6 INDUSTRY TRENDS
6.1 INTRODUCTION
6.2 CURRENT LANDSCAPE OF AGRICULTURAL INDUSTRY:
FIGURE 29 SHARE OF GDP FROM AGRICULTURE IN KEY COUNTRIES, 2018-2021
6.3 VALUE CHAIN ANALYSIS
FIGURE 30 VALUE CHAIN ANALYSIS: DIGITAL AGRICULTURE MARKET
6.3.1 RESEARCH & PRODUCT DEVELOPMENT
6.3.2 DEVICE & COMPONENT MANUFACTURERS
6.3.3 SYSTEM INTEGRATORS
6.3.4 SERVICE PROVIDERS
6.3.5 END USERS
6.3.6 POST-SALES SERVICES
6.4 TECHNOLOGY ANALYSIS
6.4.1 EXISTING TECHNOLOGIES IN DIGITAL AGRICULTURE
6.4.1.1 INTRODUCTION
FIGURE 31 EXISTING TECHNOLOGIES IN DIGITAL AGRICULTURE
6.4.1.2 INTERACTIVE VOICE RESPONSE
6.4.1.3 WEB APPLICATIONS
6.4.1.4 INTERNET & BROADBAND
6.4.1.5 MOBILE
6.4.1.6 SATELLITE
6.4.1.6.1 Satellite Imagery for crop yield productions and price forecasts
6.4.1.6.2 GNSS devices shipment in digital agriculture
FIGURE 32 GNSS DEVICES SHIPMENT, BY REGION, 2021-2031 (MILLION)
6.4.1.7 Broadcasting
6.4.2 EMERGING TECHNOLOGIES IN DIGITAL AGRICULTURE
6.4.2.1 INTRODUCTION
FIGURE 33 EMERGING TECHNOLOGIES IN DIGITAL AGRICULTURE
6.4.2.2 ARTIFICIAL INTELLIGENCE
6.4.2.3 BLOCKCHAIN
FIGURE 34 BLOCKCHAIN AND AI IN DIGITAL AGRICULTURE, LIVESTOCK MONITORING, AND FARM MANAGEMENT
6.4.2.4 BIG DATA
6.4.2.5 INTERNET OF THINGS (IoT)
6.4.2.6 Drones (unmanned aerial vehicles)
6.4.2.7 Cloud
6.4.2.8 Robotics (robotic cages and underwater drones in aquaculture farms)
6.4.2.9 Conclusion
6.5 PATENT ANALYSIS
FIGURE 35 PATENTS GRANTED FOR DIGITAL AGRICULTURE MARKET, 2014-2023
FIGURE 36 REGIONAL ANALYSIS OF PATENTS GRANTED FOR DIGITAL AGRICULTURE MARKET, 2014-2023
TABLE 4 LIST OF MAJOR PATENTS PERTAINING TO DIGITAL AGRICULTURE MARKET, 2021-2023
6.6 ECOSYSTEM AND MARKET MAP
6.6.1 DEMAND SIDE
6.6.2 SUPPLY SIDE
FIGURE 37 DIGITAL AGRICULTURE MARKET MAP
TABLE 5 DIGITAL AGRICULTURE MARKET: SUPPLY CHAIN (ECOSYSTEM)
6.7 TRADE ANALYSIS
TABLE 6 TOP 10 EXPORTERS AND IMPORTERS OF HS CODE 8432 PRODUCTS, 2022 (USD THOUSAND)
TABLE 7 TOP 10 EXPORTERS AND IMPORTERS OF HS CODE 8432 PRODUCTS, 2022 (TON)
6.8 PRICING ANALYSIS
6.8.1 AVERAGE SELLING PRICE TREND, BY HARDWARE TYPE
TABLE 8 DIGITAL AGRICULTURE MARKET: AVERAGE SELLING PRICE (ASP) OF AUTOMATION & CONTROL SYSTEMS, 2018-2022 (USD/PIECE)
TABLE 9 DIGITAL AGRICULTURE MARKET: AVERAGE SELLING PRICE (ASP) OF SENSING & MONITORING DEVICES, 2018-2022 (USD/PIECE)
6.8.2 AVERAGE SELLING PRICE TREND OF DIGITAL AGRICULTURE SYSTEMS, BY KEY PLAYERS
TABLE 10 DIGITAL AGRICULTURE MARKET: AVERAGE SELLING PRICE (ASP) OF IRRIGATION CONTROLLERS, BY KEY PLAYER, 2022 (USD/PIECE)
TABLE 11 DIGITAL AGRICULTURE MARKET: AVERAGE SELLING PRICE (ASP) OF GPS/GNSS, BY KEY PLAYER, 2022 (USD/PIECE)
TABLE 12 DIGITAL AGRICULTURE MARKET: AVERAGE SELLING PRICE (ASP) OF DISPLAYS, BY KEY PLAYER, 2022 (USD/PIECE)
*Details on Business Overview, Products/Solutions/Services Offered, Recent Developments, MnM view (Key strengths/Right to win, Strategic choices made, Weakness/competitive threats)** might not be captured in case of unlisted companies.
14 ADJACENT AND RELATED MARKETS
14.1 INTRODUCTION
TABLE 537 MARKETS ADJACENT TO DIGITAL AGRICULTURE MARKET
14.2 LIMITATIONS
14.3 PRECISION FARMING MARKET
14.3.1 MARKET DEFINITION
14.3.2 MARKET OVERVIEW
TABLE 538 PRECISION FARMING MARKET, BY REGION, 2019-2022 (USD MILLION)
TABLE 539 PRECISION FARMING MARKET, BY REGION, 2023-2028 (USD MILLION)
14.4 SMART AGRICULTURE MARKET
14.4.1 MARKET DEFINITION
14.4.2 MARKET OVERVIEW
TABLE 540 SMART AGRICULTURE MARKET, BY REGION, 2019-2022 (USD MILLION)
TABLE 541 SMART AGRICULTURE MARKET, BY REGION, 2023-2028 (USD MILLION)