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세계의 정밀농업 분야 AI 시장 보고서(2025년)
AI In Precision Farming Global Market Report 2025
상품코드 : 1804210
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 175 Pages
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한글목차

정밀농업 분야 AI 시장 규모는 향후 몇 년 동안 급성장할 것으로 예측됩니다. 2029년까지 CAGR 18.2%로 18억 3,000만 달러에 달할 것으로 예측됩니다. 예측 기간의 성장은 IoT 기기 채택, 환경에 대한 관심 증가, 지속 가능한 농업에 대한 수요 증가, 스마트 농업 시스템으로의 전환, 품질 및 추적 가능성에 대한 수요 증가에 기인합니다. 예측 기간의 주요 동향으로는 로봇 공학과의 통합, 작물 모니터링 도구, 공급망 최적화를 위한 AI 채택, 기술 주도형 정밀 관개 시스템, 의사결정 지원 시스템의 출현 등이 있습니다.

향후 5년간 18.2%의 성장률 전망은 지난번 예측보다 0.7% 소폭 하락한 수치입니다. 이 감소는 주로 미국과 다른 국가 간의 관세의 영향에 기인합니다. 독일과 일본의 자율형 밭 로봇과 작물 분석 소프트웨어공급이 제한되어 선진 농업 기술의 도입이 지연될 수 있기 때문에 미국에 직접적인 영향을 미칠 수 있습니다. 또한, 상호 관세와 무역 긴장과 제한 증가로 인한 세계 경제와 무역에 대한 악영향으로 인해 그 영향은 더욱 광범위하게 나타날 것으로 보입니다.

경작 가능한 토지가 한정되어 있다는 점이 향후 정밀농업의 AI 시장 성장을 가속할 것으로 예측됩니다. 경지란 농업용, 특히 농작물 재배에 적합한 땅을 말합니다. 경작지의 가용성은 도시화, 토양 황폐화, 기후 변화의 압력 등 여러 요인에 의해 제약받고 있습니다. 정밀농업의 AI는 데이터 기반 통찰력과 표적화된 개입을 통해 자원 활용을 최적화하고 농작물 생산성을 향상시킴으로써 한정된 경작지에 대한 도전에 대응할 수 있도록 돕습니다. 예를 들어, 2022년 8월 미국 농무부(USDA)는 2022년 미국 농장 부동산의 평균 가치가 에이커당 3,800달러로 2021년 대비 420달러(12.4%) 증가했다고 보고했습니다. 또한, 농지의 평균 가격은 1에이커당 5,050달러로 전년 대비 630달러(14.3%) 상승했습니다. 따라서 경작 가능한 토지가 한정되어 있다는 점이 정밀농업의 AI 시장 성장에 박차를 가하고 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역 전쟁과 관세, 코로나19 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/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 개요

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장 잠재력이 높은 국가, 전략

제36장 부록

LSH
영문 목차

영문목차

Precision farming integrates artificial intelligence (AI) technologies into agricultural processes to optimize crop yield, minimize resource usage, and enhance overall farm efficiency. Its purpose is to empower farmers with data-driven insights to boost productivity, sustainability, and profitability.

The primary AI techniques in precision farming include machine learning, computer vision, and others. Machine learning, a subset of AI, enables systems to learn and improve autonomously by analyzing data and recognizing patterns to make predictions or decisions without explicit programming. It is available in different forms such as hardware, software, AI-as-a-service, and services, catering to various applications like research, farm management, customized cultivation, and more

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and emerging trade disputes in spring 2025 are having a profound impact on the agriculture sector by driving up the costs of essential inputs such as seeds, fertilizers, and machinery components sourced from international markets. Higher duties on imported agrochemicals and farm equipment have substantially increased operational expenses for farmers. At the same time, retaliatory tariffs from key global buyers have reduced demand for major U.S. agricultural exports, including corn, wheat, and dairy, straining farm incomes. In response, many producers are exploring crop diversification, investing in precision agriculture to optimize resource use, and calling for government support through subsidies and improved trade access.

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

The AI in precision farming market size has grown rapidly in recent years. It will grow from $0.78 billion in 2024 to $0.94 billion in 2025 at a compound annual growth rate (CAGR) of 19.4%. The growth in the historic period can be attributed to the evolution of AI algorithms, increased demand for food production, cost reduction, environmental sustainability, and government support and subsidies.

The AI in precision farming market size is expected to see rapid growth in the next few years. It will grow to $1.83 billion in 2029 at a compound annual growth rate (CAGR) of 18.2%. The growth in the forecast period can be attributed to the adoption of IoT devices, rising environmental concerns, increasing demand for sustainable agriculture, a shift towards smart farming systems, and demand for quality and traceability. Major trends in the forecast period include integration with robotics, tools for crop monitoring, adoption of AI for supply chain optimization, technology-driven precision irrigation systems, and the emergence of decision support systems.

The forecast of 18.2% growth over the next five years reflects a modest reduction of 0.7% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. There is potential for direct impact on the US due to restricted supply of autonomous field robots and crop analysis software from Germany and Japan, which may delay adoption of advanced farming techniques. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The limited availability of arable land is expected to drive the growth of the AI in precision farming market in the future. Arable land refers to land suitable for agricultural use, specifically for growing crops. The availability of arable land is constrained by several factors, including urbanization, soil degradation, and the pressures of climate change. AI in precision farming helps address the challenges posed by limited arable land by optimizing resource use and boosting crop productivity through data-driven insights and targeted interventions. For example, in August 2022, the United States Department of Agriculture (USDA) reported that the average value of farm real estate in the U.S. reached $3,800 per acre in 2022, an increase of $420 per acre or 12.4% from 2021. Moreover, the average value of cropland was $5,050 per acre, reflecting a rise of $630 per acre or 14.3% from the previous year. Therefore, the limited availability of arable land is fueling the growth of the AI in precision farming market.

Key players in the AI in precision farming sector are actively forging strategic partnerships to gain a competitive advantage. These collaborations are pivotal in advancing AI in precision farming by leveraging the strengths and resources of multiple organizations to develop innovative solutions, drive adoption, and tackle agriculture's key challenges. For instance, in March 2022, Sway AI, a US-based developer of no-code artificial intelligence applications, partnered with Trilogy Networks, a US-based agriculture technology company, to integrate AI technology into precision farming. This collaboration, within the Rural Cloud Initiative (RCI), aims to support and accelerate rural America's digital transformation. By addressing the issue of data fragmentation, Sway AI and Trilogy Networks aim to enhance decision-making across the entire production process through combined information.

In March 2024, GEA Group AG, a Germany-based industrial machinery company, acquired CattleEye Ltd. to bolster its portfolio with CattleEye's advanced AI solution for early detection of lameness in dairy cows. This acquisition underscores GEA's commitment to enhancing animal health and welfare as part of its Next Generation Farming strategy. CattleEye Ltd., based in the UK, specializes in developing AI solutions for precision farming, particularly for the dairy farming sector.

Major companies operating in the AI in precision farming market report are Microsoft Corporation; Robert Bosch GmbH; Intel Corporation; International Business Machines Corporation; Bayer AG; Deere & Company; SAP SE; Yara International ASA; DTN LLC; FarmWise Labs Inc.; Taranis Visual Ltd.; Blue River Technology Inc.; Agworld Inc.; Ceres Imaging Inc.; PrecisionHawk Inc.; FarmLogs Inc.; Prospera Technologies Ltd.; Arable Labs Inc.; Agribotix LLC; Resson Aerospace Corporation

North America was the largest region in the AI in precision farming market in 2024. Europe is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in precision farming market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the AI in precision farming market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI in precision farming market consists of revenues earned by entities by providing services such as data analytics services, integration services, and telematics services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in precision farming market also includes sales of sensors, drones with imaging systems, satellite imaging systems, automated farming equipment, and IoT devices used to increase agriculture productivity. 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.

AI In Precision Farming 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 ai in precision farming 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 ai in precision farming ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai in precision farming 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. AI In Precision Farming Market Characteristics

3. AI In Precision Farming Market Trends And Strategies

4. AI In Precision Farming Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global AI In Precision Farming Growth Analysis And Strategic Analysis Framework

6. AI In Precision Farming Market Segmentation

7. AI In Precision Farming Market Regional And Country Analysis

8. Asia-Pacific AI In Precision Farming Market

9. China AI In Precision Farming Market

10. India AI In Precision Farming Market

11. Japan AI In Precision Farming Market

12. Australia AI In Precision Farming Market

13. Indonesia AI In Precision Farming Market

14. South Korea AI In Precision Farming Market

15. Western Europe AI In Precision Farming Market

16. UK AI In Precision Farming Market

17. Germany AI In Precision Farming Market

18. France AI In Precision Farming Market

19. Italy AI In Precision Farming Market

20. Spain AI In Precision Farming Market

21. Eastern Europe AI In Precision Farming Market

22. Russia AI In Precision Farming Market

23. North America AI In Precision Farming Market

24. USA AI In Precision Farming Market

25. Canada AI In Precision Farming Market

26. South America AI In Precision Farming Market

27. Brazil AI In Precision Farming Market

28. Middle East AI In Precision Farming Market

29. Africa AI In Precision Farming Market

30. AI In Precision Farming Market Competitive Landscape And Company Profiles

31. AI In Precision Farming Market Other Major And Innovative Companies

32. Global AI In Precision Farming Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI In Precision Farming Market

34. Recent Developments In The AI In Precision Farming Market

35. AI In Precision Farming Market High Potential Countries, Segments and Strategies

36. Appendix

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