시장보고서
상품코드
1858519

아시아태평양의 농장 ERP 시장 : 용도, 제품, 국가별 분석과 예측(2025-2035년)

Asia-Pacific Farm ERP Market: Focus on Application, Product, and Country Analysis - Analysis and Forecast, 2025-2035

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

    
    
    




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아시아태평양의 농장 ERP 시장 규모는 2024년 2억 2,000만 달러에서2025-2035년의 예측 기간 중 CAGR 14.34%로 추이하며, 2035년에는 9억 3,210만 달러에 달할 것으로 예측됩니다.

아시아태평양의 농업 ERP 시장은 생산성, 지속가능성, 투명성 향상을 위한 농업의 디지털화에 대한 강력한 노력에 힘입어 빠르게 성장하고 있습니다. 중국의 스마트 농업 전략(Smart Agriculture Strategy), 일본의 농업 사회 5.0(Society 5.0 for Agriculture), 인도의 디지털 농업 미션(Digital Agriculture Mission)과 같은 프로그램을 통해 아시아태평양의 각국 정부는 첨단 기술의 농업 분야 도입을 적극적으로 추진하고 있습니다. 이러한 구상은 농업인들이 정밀농업, 지속가능성 모니터링, 데이터 상호운용성을 실현하는 통합 디지털 기술을 채택하도록 장려하고 있습니다. 이러한 노력으로 아시아태평양의 농업 생태계는 빠르게 변화하고 있으며, 농업 ERP 솔루션의 도입이 가속화되고 있습니다. 이를 통해 농가와 농업 사업자는 데이터에 기반한 실시간 자원 관리, 추적성 강화, 보다 정확한 의사결정을 할 수 있는 툴을 확보할 수 있게 되었습니다.

주요 시장 통계
예측 기간 2025-2035년
2025년 평가 2억 4,410만 달러
2035년 예측 9억 3,210만 달러
CAGR 14.34%

아시아태평양의 농업 ERP 시장은 디지털 농업 기술의 활용 확대와 농업 생산, 지속가능성, 수익성 향상에 대한 의욕에 힘입어 빠르게 성장하고 있습니다. 동남아시아, 중국, 일본, 호주, 인도 등의 국가에서는 농업이 주요 경제 부문이기 때문에 통합형 농장 ERP 시스템에 대한 수요가 증가하고 있습니다.

농법을 현대화하기 위해 아시아태평양 정부는 스마트 농업과 디지털 농업 프로그램을 적극적으로 지원하고 있습니다. 중국의 스마트 농업 정책(Smart Agriculture Policy), 일본의 농업 사회 5.0(Society 5.0 for Agriculture), 인도의 디지털 농업 미션(Digital Agriculture Mission)과 같은 구상들은 IoT, AI, 데이터 분석의 통합을 통한 기술 주도의 변화를 강조하고 있습니다. 이러한 프로그램들은 농장에서 커넥티드 기술과 데이터 중심 관리 기술을 사용하도록 장려함으로써 ERP 도입에 도움이 되는 환경을 조성하고 있습니다.

또한 소규모 농가와 대규모 농업 관련 기업 모두 식량안보를 보장하고 업무의 비효율성을 최소화하며 지속가능한 표준을 달성하기 위해 ERP 플랫폼에 투자하고 있습니다. 클라우드 기반 ERP 솔루션은 저렴한 가격, 유연성, 실시간 모니터링 기능으로 인해 이 지역에서 인기를 끌고 있습니다.

아시아태평양에서 농업의 디지털화가 진행됨에 따라 농업 ERP 시장은 빠른 성장이 예상됩니다. 이를 통해 농가는 데이터베이스의 지능형 솔루션을 활용하여 자원의 효율성, 수익성, 투명성을 향상시킬 수 있습니다.

시장 세분화

세분화 1: 최종 용도별

  • 경종농장 : 곡물, 두류, 지방종자(밀, 옥수수, 콩 등)
  • 원예 및 플랜테이션 농장 : 과일, 채소, 견과류, 포도원, 차-커피 농장
  • 보호 및 제어 환경형 농장
  • 축산·낙농
  • 기타 : 복합경영농장(작물+축산), 임업, 아쿠아포닉스, 화훼재배, 정부/공공기관 농장 등

세분화 2: 비즈니스 모델별

  • 구독(SaaS)
  • 구매형 라이선스

세분화 3: 제공 모듈별

  • 재고 및 투입재 관리 모듈
  • 생산 및 작물 모니터링 모듈
  • 재무 관리 모듈
  • 기타 :(현장 매핑&GIS 모듈, 인력&작업관리 모듈, 날씨&어드바이저 통합 모듈, IoT&센서 통합 모듈, 모바일&다국어 액세스 모듈)

세분화 4: 지역별 세분화

  • 아시아태평양

아시아태평양의 농장 ERP 시장을 조사했으며, 주요 동향, 시장 영향요인 분석, 규제 프레임워크, 시장 규모 추이 및 예측, 각종 부문별-주요 국가별 상세 분석, 경쟁 구도, 주요 기업 개요 등의 정보를 정리하여 전해드립니다.

목차

개요

범위와 정의

제1장 시장 : 업계 전망

  • 동향 : 현황과 향후에 대한 영향 평가
    • 농업에서 클라우드 기반 SaaS 솔루션의 급속한 도입과 서브스크립션 모델의 우위성
    • 정밀농업과 예측 분석을 위한 AI와 IoT의 통합
  • 규제 상황/정부 구상
  • 연구개발 리뷰
    • 특허 출원 동향(국가별·기업별)
  • 시장 역학
    • 시장 성장 촉진요인
    • 시장이 해결해야 할 과제
    • 시장 기회
  • 스타트업의 상황

제2장 지역

  • 지역 요약
  • 아시아태평양
    • 주요 시장 참여 기업
    • 시장 성장 원동력
    • 시장이 해결해야 할 과제
    • 양남
    • 제품
    • 아시아태평양(국가별)

제3장 시장 : 경쟁 벤치마킹과 기업 개요

  • 다음 프론티어
  • 기업 개요
    • Shivrai Technologies Pvt. Ltd.
    • Cropin Technology Solutions Pvt. Ltd
    • SourceEdge Software Technologies Pvt Ltd
    • Khetibuddy Agritech Pvt Ltd
    • Lighthouse Info Systems Pvt. Ltd.

제4장 조사 방법

KSA

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Introduction to Asia-Pacific Farm ERP Market

The Asia-Pacific farm ERP market is projected to reach $932.1 million by 2035 from $220.0 million in 2024, growing at a CAGR of 14.34% during the forecast period 2025-2035. The APAC Farm ERP market is quickly expanding, owing to the region's significant emphasis on agricultural digitalization for increased productivity, sustainability, and transparency. Through programs like China's *Smart Agriculture Strategy*, Japan's *Society 5.0 for Agriculture*, and India's *Digital Agriculture Mission*, governments around Asia-Pacific are aggressively encouraging the use of cutting-edge technologies in agriculture. These initiatives urge farmers to adopt integrated digital technologies that facilitate precision farming, sustainability tracking, and data interoperability. These initiatives are revolutionizing APAC's agricultural ecosystem by hastening the adoption of farm ERP solutions and providing farmers and agribusinesses with data-driven, real-time tools for effective resource management, enhanced traceability, and well-informed decision-making.

KEY MARKET STATISTICS
Forecast Period2025 - 2035
2025 Evaluation$244.1 Million
2035 Forecast$932.1 Million
CAGR14.34%

Market Introduction

The Asia-Pacific (APAC) Farm ERP Market is rapidly expanding, driven by the region's growing use of digital farming technologies and the desire to improve agricultural production, sustainability, and profitability. The need for integrated farm ERP (Enterprise Resource Planning) systems is growing since agriculture is a major economic sector in nations like Southeast Asia, China, Japan, Australia, and India.

To modernize farming methods, governments in the APAC area are actively supporting smart and digital agriculture programs. Initiatives like China's Smart Agriculture Policy, Japan's Society 5.0 for Agriculture, and India's Digital Agriculture Mission highlight technology-driven change through the integration of IoT, AI, and data analytics. By encouraging farms to use connected and data-centric management technologies, these programs are fostering a climate that is conducive to the introduction of ERP.

Additionally, both smallholders and large agribusinesses are investing in ERP platforms due to the increasing demand to guarantee food security, minimize operational inefficiencies, and achieve sustainability standards. Due to its affordability, flexibility, and real-time monitoring capabilities, cloud-based ERP solutions are becoming more popular in the area.

The farm ERP market is expected to grow rapidly as the APAC region continues to digitize its agricultural landscape, providing farmers with data-driven, intelligent solutions for increased resource efficiency, profitability, and transparency.

Market Segmentation:

Segmentation 1: By End-Use Application

  • Row Crop Farm (cereal grains, pulses, oilseeds (e.g., wheat, corn, soybean))
  • Horticulture and Plantation Farm (fruits, vegetables, nuts, vineyards, tea, coffee plantations)
  • Protected and Controlled Environment Farm
  • Livestock and Dairy Farm
  • Others (includes mixed farming enterprises (crop + livestock Silviculture, aquaponics, floriculture, Government/institutional farms)

Segmentation 2: By Business Model

  • Subscription (SaaS)
  • One-Time License

Segmentation 3: By Module Offering

  • Inventory and Input Management Module
  • Production and Crop Monitoring Module
  • Financial Management Module
  • Others (Field Mapping and GIS Module, Labor and Workforce Management Module, Weather and Advisory Integration Module, IoT and Sensor Integration Module, Mobile and Multilingual Access Module)

Segmentation 4: By Region

  • Asia-Pacific

APAC Farm ERP Market Trends, Drivers and Challenges

Key Trends in the APAC Farm ERP Market

Digitalization of Agriculture

  • Accelerated digital adoption across emerging economies to modernize traditional farming systems.
  • Governments actively promoting digital platforms for precision farming, data collection, and process automation.

Integration with Smart Farming Technologies

  • Farm ERP systems increasingly integrate with IoT sensors, drones, GPS, and satellite monitoring for real-time data.
  • Advanced analytics and AI-driven forecasting enhance decision-making and yield optimization.

Rise of Cloud-Based and Mobile ERP Solutions

  • Strong demand for affordable, cloud-based ERP solutions suitable for small and medium-sized farms.
  • Mobile-first ERP interfaces gaining traction to support field operations in remote agricultural zones.

Focus on Sustainability and Traceability

  • Growing consumer demand for transparent supply chains and sustainable farming practices.
  • ERP systems supporting traceability, carbon tracking, and compliance with regional environmental standards.

Localization and Customization

  • Vendors offering localized ERP solutions with language, regulatory, and crop-specific customization.
  • Increased collaboration between global ERP providers and regional agri-tech startups.

Primary Drivers of Market Growth

Government Support and Policy Initiatives

  • Strong government-led digital agriculture missions in India, China, Japan, and Australia.
  • Subsidies, grants, and smart farming policies encouraging ERP adoption among farmers.

Need for Efficiency and Profitability

  • Rising production costs and labor shortages driving the shift toward automation and integrated farm management.
  • ERP systems reducing manual tasks and optimizing resource allocation for higher profitability.

Food Security and Demand for Traceability

  • Rapid urbanization and rising food demand pressuring farms to adopt efficient digital management systems.
  • ERP platforms enabling full traceability from production to distribution, ensuring food safety.

Technological Advancements and Rural Connectivity

  • Expanding 5G networks and IoT infrastructure improving data access and ERP functionality.
  • Adoption of AI and machine learning within ERP systems to forecast yields and manage supply chains.

Increasing Private and Institutional Investments

  • Agri-tech startups and venture capital driving innovation in ERP and digital farming solutions.
  • Partnerships between ERP vendors and cooperatives expanding access to rural and smallholder farmers.

Key Challenges in the APAC Farm ERP Market

High Implementation and Maintenance Costs

  • Upfront investment and training expenses remain prohibitive for small and marginal farmers.
  • Limited awareness of long-term ROI slows adoption.

Diverse Agricultural Ecosystem

  • Varied crop patterns, climatic conditions, and farm sizes across APAC complicate ERP standardization.
  • Vendors face challenges in offering one-size-fits-all ERP solutions.

Low Digital Literacy and Resistance to Change

  • Many farmers lack technical knowledge or familiarity with ERP systems.
  • Traditional farming practices and limited trust in digital tools hinder large-scale adoption.

Connectivity and Infrastructure Gaps

  • Inadequate internet access in rural areas restricts real-time data exchange and system efficiency.
  • Power reliability and network issues affect consistent ERP usage.

Data Privacy and Security Concerns

  • Unclear regulations around farm data ownership and security in developing APAC markets.
  • Farmers cautious about sharing operational data with third-party software providers.

How can this report add value to an organization?

Product/Innovation Strategy: This report delivers a comprehensive analysis of the APAC farm ERP market segmented by application type, business model, and module offering. By covering diverse applications ranging from row crop farms and horticulture to livestock and protected environment farming, organizations gain clarity on the varying needs across farm types. The segmentation by business model, including subscription (SaaS), one-time license, and pay-per-module offers valuable insight into evolving delivery and pricing strategies. Further granularity is provided through module-level segmentation, such as inventory management, crop monitoring, financial management, and advanced modules including IoT integration and weather advisory. This level of detail allows product teams to identify innovation opportunities tailored to distinct farm operations and optimize solutions for scalability, integration, and cost-effectiveness.

Growth/Marketing Strategy: The APAC farm ERP market continues to expand, driven by technology adoption and digital transformation across agricultural value chains. This report tracks growth patterns, key partnerships, and geographic expansion by leading players, including SAP SE, Oracle Corporation, Cropin Technology, and Shivrai Technologies, among others. It equips marketing teams with insights on high-potential segments, such as protected environment farms and livestock enterprises, enabling alignment of value propositions with specific user needs. By understanding regional demand variations and the prominence of different business models, organizations can craft targeted go-to-market strategies. This focus enhances market penetration, customer engagement, and competitive positioning in a rapidly evolving agricultural technology landscape.

Competitive Strategy: A thorough competitive landscape is provided, profiling leading players based on their product offerings, innovation pipelines, partnerships, and expansion plans. Competitive benchmarking enables readers to evaluate how companies are positioned across product types and application areas.

Table of Contents

Executive Summary

Scope and Definition

1 Market: Industry Outlook

  • 1.1 Trends: Current and Future Impact Assessment
    • 1.1.1 Rapid Adoption of Cloud-Based SaaS Solutions and the Dominance of Subscription Models in Agriculture
    • 1.1.2 Integration of AI and IoT for Precision Farming and Predictive Analytics
  • 1.2 Regulatory Landscape/Government Initiatives
  • 1.3 Research and Development Review
    • 1.3.1 Patent Filing Trend (by Country and Company)
  • 1.4 Market Dynamics
    • 1.4.1 Market Drivers
      • 1.4.1.1 Growing Dependence on Data-Backed Agronomic Decisions
      • 1.4.1.2 Rising Input Costs Driving Precision in Resource Allocation
      • 1.4.1.3 Need for Field-Level Visibility and Multi-Plot Coordination
    • 1.4.2 Market Challenges
      • 1.4.2.1 High Per-Acre ERP Costs Burdening Smallholder Farmers due to Fragmented Farm Sizes
      • 1.4.2.2 Aging Farmer Demographics Hindering Technology Adoption
      • 1.4.2.3 Poor Internet Connectivity in Rural Regions Hindering ERP Accessibility
    • 1.4.3 Market Opportunities
      • 1.4.3.1 Integration of Smart Advisory Services through AI and Remote Sensing
      • 1.4.3.2 Offline-First ERP Architecture for Connectivity-Challenged Regions
      • 1.4.3.3 Mobile-First Platforms with Vernacular Language and Voice Support
  • 1.5 Startup Landscape

2 Region

  • 2.1 Regional Summary
  • 2.2 Asia-Pacific
    • 2.2.1 Key Market Participants in Asia-Pacific
    • 2.2.2 Driving Factors for Market Growth
    • 2.2.3 Factors Challenging the Market
    • 2.2.4 Application
      • 2.2.4.1 End-Use Application
    • 2.2.5 Products
      • 2.2.5.1 By Business Model
      • 2.2.5.2 By Module Offering
    • 2.2.6 Asia-Pacific (by Country)
      • 2.2.6.1 China
        • 2.2.6.1.1 Market (by Application)
        • 2.2.6.1.2 Market (by Products)
      • 2.2.6.2 Australia
        • 2.2.6.2.1 Market (by Application)
        • 2.2.6.2.2 Market (by Products)
      • 2.2.6.3 Japan
        • 2.2.6.3.1 Market (by Application)
        • 2.2.6.3.2 Market (by Products)
      • 2.2.6.4 India
        • 2.2.6.4.1 Market (by Application)
        • 2.2.6.4.2 Market (by Products)
      • 2.2.6.5 Rest-of-Asia-Pacific
        • 2.2.6.5.1 Market (by Application)
        • 2.2.6.5.2 Market (by Products)

3 Markets - Competitive Benchmarking & Company Profiles

  • 3.1 Next Frontiers
  • 3.2 Company Profiles
    • 3.2.1 Shivrai Technologies Pvt. Ltd.
      • 3.2.1.1 Overview
      • 3.2.1.2 Top Products/Product Portfolio
      • 3.2.1.3 Top Competitors
      • 3.2.1.4 Target Customers
      • 3.2.1.5 Key Personnel
      • 3.2.1.6 Analyst View
      • 3.2.1.7 Market Share, 2024
    • 3.2.2 Cropin Technology Solutions Pvt. Ltd
      • 3.2.2.1 Overview
      • 3.2.2.2 Top Products/Product Portfolio
      • 3.2.2.3 Top Competitors
      • 3.2.2.4 Target Customers
      • 3.2.2.5 Key Personnel
      • 3.2.2.6 Analyst View
      • 3.2.2.7 Market Share, 2024
    • 3.2.3 SourceEdge Software Technologies Pvt Ltd
      • 3.2.3.1 Overview
      • 3.2.3.2 Top Products/Product Portfolio
      • 3.2.3.3 Top Competitors
      • 3.2.3.4 Target Customers
      • 3.2.3.5 Key Personnel
      • 3.2.3.6 Analyst View
      • 3.2.3.7 Market Share, 2024
    • 3.2.4 Khetibuddy Agritech Pvt Ltd
      • 3.2.4.1 Overview
      • 3.2.4.2 Top Products/Product Portfolio
      • 3.2.4.3 Top Competitors
      • 3.2.4.4 Target Customers
      • 3.2.4.5 Key Personnel
      • 3.2.4.6 Analyst View
      • 3.2.4.7 Market Share, 2024
    • 3.2.5 Lighthouse Info Systems Pvt. Ltd.
      • 3.2.5.1 Overview
      • 3.2.5.2 Top Products/Product Portfolio
      • 3.2.5.3 Top Competitors
      • 3.2.5.4 Target Customers
      • 3.2.5.5 Key Personnel
      • 3.2.5.6 Analyst View
      • 3.2.5.7 Market Share, 2024

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
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