세계의 농업 분야 빅데이터 분석 시장 보고서(2025년)
Big Data Analytics In Agriculture Global Market Report 2025
상품코드 : 1702927
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 200 Pages
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한글목차

농업 분야의 빅데이터 분석 시장 규모는 향후 몇 년 동안 급성장할 것으로 예상됩니다. 예측 기간의 성장은 기후 변화, 기술 발전, 인구 증가, 규제 변화, 지속 가능성 관행, 해충 및 질병 관리, 자원 가용성 등에 기인할 수 있습니다. 예측 기간의 주요 트렌드에는 정밀 농업, 스마트 관개 시스템, 자동화 기계, 드론 기술, 유전자 변형, 데이터 기반 의사 결정, 공급망 관리를 위한 블록체인이 포함됩니다.

정밀 농업의 채택이 증가함에 따라 농업 시장에서 빅데이터 분석이 성장할 것으로 예상됩니다. 정밀 농업은 기술을 사용하여 현장 조건의 변화를 면밀히 모니터링하고 이에 대응함으로써 작물 생산과 효율성을 최적화하는 농업 관리 방식입니다. 이 방법은 생산성을 높이고, 투입 비용을 낮추며, 목표에 맞는 자원 활용을 통해 환경에 미치는 영향을 줄일 수 있다는 점에서 인기를 얻고 있습니다. 빅데이터 분석은 방대한 양의 데이터를 분석하여 농작물 관리의 정확한 의사결정을 위한 인사이트를 제공함으로써 정밀 농업을 지원합니다. 예를 들어, 2023년 8월 미국 농무부가 발표한 보고서에 따르면 미국의 정밀 농업 평균 채택률은 2021년 25%에서 2023년 27%로 증가했습니다. 노스다코타주가 57%의 채택률로 선두를 달리고 있으며, 일리노이, 아이오와, 캔자스, 네브라스카, 사우스다코타주가 각각 49% 이상의 비율로 그 뒤를 잇고 있습니다. 따라서 정밀 농업의 도입이 증가함에 따라 농업 시장에서 빅데이터 분석의 성장이 촉진될 것으로 보입니다.

농업 분야의 빅데이터 분석 시장의 주요 기업은 AI, 머신러닝, 시장 공략을 강화하기 위해 전략적 파트너십을 체결하고 있습니다. 전략적 파트너십은 조직이 공동의 목표를 달성하기 위해 자원, 전문성, 노력을 결합하는 협업 관계입니다. 예를 들어, 2023년 9월 이스라엘의 생명공학 및 AI 회사인 Agrematch는 이스라엘의 농약 제조업체인 ICL Group Ltd.와 제휴하여 농업 최적화를 위한 생체 자극제를 찾는 데 있어 AI를 발전시켰습니다. 이 협력은 농부들에게 비료 및 기타 투입물 사용에 대한 정확한 데이터 기반 권장 사항을 제공함으로써 작물 수확량을 극대화하고 자원 효율성을 개선하며 지속 가능한 농업 관행을 촉진하는 것을 목표로 합니다. 애그리매치는 고급 머신러닝 및 딥러닝 알고리즘과 독점 데이터베이스를 사용하고 이러한 기술을 생물학, 화학, 농업 분야의 전문 지식과 통합하여 데이터 과학과 AI를 활용합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 신형 코로나 바이러스 감염, 그리고 경기 회복이 시장에 미치는 영향을 포함한 거시 경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별 및 국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

HBR
영문 목차

영문목차

Big data analytics in agriculture involves gathering, processing, and analyzing large amounts of data from various agricultural sources such as weather, soil, crop health, and machinery. This process helps make informed decisions, optimize farming practices, improve crop yields, and enhance overall farm productivity. It supports precise decision-making, which leads to optimized resource usage, increased crop yields, cost reduction, and improved sustainability.

The primary components of big data analytics in agriculture include solutions and services. Solutions refer to the software and platforms that facilitate data collection, storage, analysis, and visualization, enabling farmers and agribusinesses to make data-driven decisions for better efficiency and productivity. These components are categorized into data capturing, storing, sharing, analyzing, and other applications across chemical, financial, weather, farm equipment, and crop production sectors.

The big data analytics in agriculture market research report is one of a series of new reports from the business research company that provides big data analytics in agriculture market statistics, including big data analytics in agriculture industry global market size, regional shares, competitors with an big data analytics in agriculture market share, detailed big data analytics in agriculture market segments, market trends and opportunities, and any further data you may need to thrive in the big data analytics in agriculture industry. This big data analytics in agriculture market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The big data analytics in agriculture market size has grown rapidly in recent years. It will grow from $1.3 billion in 2024 to $1.47 billion in 2025 at a compound annual growth rate (CAGR) of 13.4%. The growth in the historic period can be attributed to changing weather patterns, soil health, crop yields, pest and disease outbreaks, technological adoption, market prices, and water usage.

The big data analytics in agriculture market size is expected to see rapid growth in the next few years. It will grow to $2.42 billion in 2029 at a compound annual growth rate (CAGR) of 13.2%. The growth in the forecast period can be attributed to climate change, technological advances, population growth, regulatory changes, sustainability practices, pest and disease management, and resource availability. Major trends in the forecast period include precision agriculture, smart irrigation systems, automated machinery, drone technology, genetic modification, data-driven decision-making, and blockchain for supply chain management.

The increasing adoption of precision farming is expected to drive the growth of big data analytics in the agriculture market. Precision farming is an agricultural management approach that uses technology to optimize crop production and efficiency by closely monitoring and responding to variations in field conditions. This method is gaining popularity due to its ability to boost productivity, lower input costs, and reduce environmental impact through targeted resource application. Big data analytics supports precision farming by analyzing vast amounts of data to provide insights for precise decision-making in crop management. For instance, a report published by the United States Department of Agriculture in August 2023 indicated that the average adoption of precision agriculture in the US increased from 25% in 2021 to 27% in 2023. North Dakota leads with an adoption rate of 57%, followed by states such as Illinois, Iowa, Kansas, Nebraska, and South Dakota, each with rates of 49% or higher. Thus, the growing adoption of precision farming is set to boost the growth of big data analytics in the agriculture market.

Major companies in the big data analytics agriculture market are forming strategic partnerships to enhance AI, machine learning, and market reach. A strategic partnership is a collaborative relationship where organizations combine resources, expertise, and efforts to achieve common goals. For example, in September 2023, Agrematch, an Israeli biotechnology and AI company, partnered with ICL Group Ltd., an Israeli agrochemical manufacturer, to advance AI in searching for biostimulants to optimize agriculture. This collaboration aims to maximize crop yields, improve resource efficiency, and promote sustainable farming practices by providing farmers with precise, data-driven recommendations for using fertilizers and other inputs. Agrematch leverages data science and AI, using advanced machine and deep learning algorithms, a proprietary database, and integrating these technologies with expertise in biology, chemistry, and agriculture. They have developed a robust AI predictive platform to drive innovation, reduce environmental impact, and support farmers in improving productivity and sustainability.

In October 2023, Ever.Ag, a U.S.-based agricultural software provider, acquired Austin Data Labs for an undisclosed amount. This acquisition aims to enhance Ever.Ag's agricultural software solutions with advanced data analytics capabilities to optimize supply chain management and promote sustainability in global food systems. Austin Data Labs is a U.S.-based data analytics solutions company for the agricultural sector.

Major companies operating in the big data analytics in agriculture market are BASF SE, International Business Machines Corporation (IBM), Deere & Company (John Deere), SAP SE, Bayer AG, Yara International ASA, CNH Industrial NV, AGCO Corporation, Corteva Inc. , Hexagon AB, Valmont Industries Inc, Trimble Inc, NTT DATA Business Solutions AG, Topcon Positioning Systems Inc, Lindsay Corporation, AeroVironment Inc., Raven Industries Inc, The Climate Corporation, Planet Labs PBC, AG Leader Technology Inc., Farmers Edge Inc, PrecisionHawk Inc., Prospera Technologies, Descartes Labs, Agribotix LLC, AgDNA, OnFarm Systems, Conservis LLC

North America was the largest region in the big data analytics in agriculture market in 2024. The regions covered in the big data analytics in agriculture market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the big data analytics in agriculture market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The big data analytics in agriculture market consists of revenues earned by entities by providing services such as predictive analytics, precision farming, remote sensing, crop monitoring, and data-driven decision support systems. The market value includes the value of related goods sold by the service provider or included within the service offering. The big data analytics in agriculture market also includes sales of sensors, drones, GPS devices, IoT-enabled equipment, data management platforms, and advanced analytics software. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Big Data Analytics In Agriculture Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on big data analytics in agriculture market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for big data analytics in agriculture ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The big data analytics in agriculture market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Big Data Analytics In Agriculture Market Characteristics

3. Big Data Analytics In Agriculture Market Trends And Strategies

4. Big Data Analytics In Agriculture Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Big Data Analytics In Agriculture Growth Analysis And Strategic Analysis Framework

6. Big Data Analytics In Agriculture Market Segmentation

7. Big Data Analytics In Agriculture Market Regional And Country Analysis

8. Asia-Pacific Big Data Analytics In Agriculture Market

9. China Big Data Analytics In Agriculture Market

10. India Big Data Analytics In Agriculture Market

11. Japan Big Data Analytics In Agriculture Market

12. Australia Big Data Analytics In Agriculture Market

13. Indonesia Big Data Analytics In Agriculture Market

14. South Korea Big Data Analytics In Agriculture Market

15. Western Europe Big Data Analytics In Agriculture Market

16. UK Big Data Analytics In Agriculture Market

17. Germany Big Data Analytics In Agriculture Market

18. France Big Data Analytics In Agriculture Market

19. Italy Big Data Analytics In Agriculture Market

20. Spain Big Data Analytics In Agriculture Market

21. Eastern Europe Big Data Analytics In Agriculture Market

22. Russia Big Data Analytics In Agriculture Market

23. North America Big Data Analytics In Agriculture Market

24. USA Big Data Analytics In Agriculture Market

25. Canada Big Data Analytics In Agriculture Market

26. South America Big Data Analytics In Agriculture Market

27. Brazil Big Data Analytics In Agriculture Market

28. Middle East Big Data Analytics In Agriculture Market

29. Africa Big Data Analytics In Agriculture Market

30. Big Data Analytics In Agriculture Market Competitive Landscape And Company Profiles

31. Big Data Analytics In Agriculture Market Other Major And Innovative Companies

32. Global Big Data Analytics In Agriculture Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Big Data Analytics In Agriculture Market

34. Recent Developments In The Big Data Analytics In Agriculture Market

35. Big Data Analytics In Agriculture Market High Potential Countries, Segments and Strategies

36. Appendix

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