农业市场中的人工智能 (AI) 基于(主要区域、市场参与者、规模和份额)- 预测至 2031 年

  • Report Code : TIPTE100001301
  • Category : Technology, Media and Telecommunications
  • No. of Pages : 150
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农业人工智能(AI)市场规模预计将从 2023 年的 19.5 亿美元增至 2031 年的 94.8 亿美元。预计 2023-2031 年市场复合年增长率为 21.9%。农业机器人和自动化可能仍然是市场的主要趋势。

人工智能(AI)在农业市场分析中的应用

人们对传统农业方法的偏好转变为基于人工智能的农业方法,农业中越来越多地使用无人驾驶飞行器(UAV),以及农业实时分析的需求不断增加,正在推动市场的发展。由于政府对人工智能解决方案实施的支持不断增加,预计该市场将在预测期内增长。此外,不断增长的研发活动以开发基于人工智能的解决方案和增加智能农业正在为市场创造利润丰厚的机会。

人工智能 (AI) 农业市场概览

人工智能(AI)正在彻底改变农业产业。预测分析、计算机视觉、机器学习和数据分析正在帮助农业克服障碍并充分发挥其潜力。人工智能在农业中的使用可以从各种来源收集和分析数据,包括土壤条件、天气模式、作物健康和历史数据。

基于人工智能的系统可以为农民提供有价值的信息,以提高产量、减少浪费并最大限度地减少环境问题。农民和利益相关者可以利用数据驱动的见解和智能决策来提高生产力、优化资源利用并处理农艺问题。智能机械和机器人可用于自动化农业中单调的任务。这些进步帮助农场解决劳动力短缺问题并专注于战略规划和管理。

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农业市场中的人工智能(AI):

人工智能(AI)在农业市场的应用

  • 年均复合增长率(2023 - 2031)
    21.9%
  • 2023 年市场规模
    19.5 亿美元
  • 2031 年市场规模
    94.8 亿美元

市场动态

增长动力
  • 将偏好从传统农业方法转向基于人工智能的农业方法
未来的趋势
  • 农业机器人和自动化
机会
  • 不断增加研发活动以开发基于人工智能的解决方案

关键人物;主力;重要一员

  • 图乐科技公司
  • 精密鹰公司
  • Easytosee Agtech SL
  • 迪尔公司
  • 气候有限责任公司
  • 伽玛亚公司
  • 国际商业机器公司
  • 微软公司
  • 普洛斯彼拉科技有限公司
  • 塔拉尼斯

区域概况

  • 北美
  • 欧洲
  • 亚太
  • 南美洲和中美洲
  • 中东和非洲

市场细分

成分
  • 硬件
  • 软件
  • 服务
应用
  • 精耕
  • 无人机分析
  • 农业机器人
  • 牲畜监测
  • 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。

人工智能(AI)在农业市场的驱动力和机遇

将偏好从传统农业方法转向基于人工智能的农业方法

加拿大各地的传统马铃薯种植者面临着营养管理方面的挑战,这是直接影响作物产量的农业关键方面。传统的土壤处理和叶面施肥方法虽然在一定程度上有效,但也存在局限性,特别是对于马铃薯生长后期所需的养分而言。因此,加拿大各地的马铃薯种植者正在部署人工智能解决方案来预测马铃薯植株的营养需求。例如,2023 年 11 月,随着农业领域的突破性发展,加拿大马铃薯种植者开始利用人工智能来实时监测和预测作物的营养需求。因此,加拿大农民对人工智能的采用推动了人工智能在农业市场的增长。

不断增加研发活动以开发基于人工智能的解决方案

英国拥有世界一流的技术和研究能力,是人工智能解决方案开发的全球领导者。此外,英国研究人员正在利用人工智能彻底改变农业等传统产业。根据 2024 年 1 月的数据,哈珀亚当斯大学的研究人员正在尝试利用人工智能提高农业的可持续性和生产力。

英国政府还宣布提供 3982 万美元资金,支持农业、时尚和紧急服务等多个领域的人工智能项目的开发。另有 538 万美元用于小型企业 100 个项目的可行性研究,培育创新的人工智能理念,以提高各个部门的生产力。因此,此类政府支持预计将推动人工智能在农业市场的增长。

人工智能(AI)农业市场报告细分分析

促成农业市场分析中人工智能(AI)的关键部分是组件和应用。

  • 从组成部分来看,农业市场的人工智能(AI)分为硬件、软件和服务。 2023 年,硬件领域将占据更大的市场份额。
  • 从应用来看,市场分为精准农业、无人机分析、农业机器人、牲畜监测等。 2023年,精准农业领域将占据更大的市场份额。

人工智能(AI)在农业市场份额的地理分析

农业市场人工智能(AI)市场报告的地理范围主要分为五个区域:北美、亚太地区、欧洲、中东和非洲以及南美洲和中美洲。

由于对技术先进解决方案的需求不断增长,预计亚太地区的市场将在预测期内扩大。在澳大利亚等农业劳动力迅速老龄化的国家,对熟练劳动力的需求比以往任何时候都大。农业融合了人工智能和机器学习等尖端技术,是缩小这一差距、将农业带入当代的关键。一些澳大利亚农民已经见证了人工智能系统的好处。例如,2023年10月,瓦穆兰的新蕾草莓部署了DeepBerry自动化监控系统;该系统使用视觉和红外成像来准确检测成熟度、瘀伤、真菌、水果大小、形状和异物。它每小时可处理 7,000 多把枪网。此类自动化系统的实施推动了农业市场中人工智能的增长。

农业市场中的人工智能 (AI) 报告范围

报告属性细节
2023年市场规模19.5亿美元
2031 年市场规模94.8亿美元
全球复合年增长率(2023 - 2031)21.9%
历史数据2021-2022
预测期2024-2031
涵盖的细分市场按组件
  • 硬件
  • 软件
  • 服务
按申请
  • 精耕
  • 无人机分析
  • 农业机器人
  • 牲畜监测
覆盖地区和国家北美
  • 我们
  • 加拿大
  • 墨西哥
欧洲
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 意大利
  • 欧洲其他地区
亚太
  • 中国
  • 印度
  • 日本
  • 澳大利亚
  • 亚太其他地区
南美洲和中美洲
  • 巴西
  • 阿根廷
  • 南美洲和中美洲其他地区
中东和非洲
  • 南非
  • 沙特阿拉伯
  • 阿联酋
  • 中东和非洲其他地区
市场领导者和主要公司简介
  • 图乐科技公司
  • 精密鹰公司
  • Easytosee Agtech SL
  • 迪尔公司
  • 气候有限责任公司
  • 伽玛亚公司
  • 国际商业机器公司
  • 微软公司
  • 普洛斯彼拉科技有限公司
  • 塔拉尼斯
  • 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。

农业市场中的人工智能 (AI) 新闻和最新动态

农业市场中的人工智能(AI)是通过收集小学和中学研究后的定性和定量数据来评估的,其中包括重要的企业出版物、协会数据和数据库。以下列出了农业市场人工智能(AI)的一些发展:

  • Chipotle Mexican Grill 宣布对 Greenfield Robotics 和 Nitricity 进行少数股权投资。 Chipotle 的投资将帮助 Greenfield Robotics 扩大其车队并为其机器人开发额外的功能,例如微喷洒、覆盖作物种植和土壤测试。 (来源:Chipotle Mexican Grill,公司网站,2023 年 12 月)。

农业市场中的人工智能 (AI) 报告范围和成果

《农业人工智能(AI)市场规模及预测(2021-2031)》报告对以下领域的市场进行了详细分析:

  • 农业人工智能 (AI) 市场规模以及全球、区域和国家层面涵盖的所有关键细分市场的预测
  • 农业市场趋势以及市场动态(例如驱动因素、限制因素和关键机遇)中的人工智能 (AI)
  • 详细的 PEST/波特五力分析和 SWOT 分析
  • 农业市场分析中的人工智能(AI),涵盖主要市场趋势、全球和区域框架、主要参与者、法规和最新市场发展
  • 行业格局和竞争分析,包括市场集中度、热图分析、主要参与者以及农业市场人工智能 (AI) 的最新发展
  • 详细的公司简介
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


Which region dominated the artificial intelligence (AI) in agriculture market in 2023?

North America dominated the artificial intelligence (AI) in agriculture market in 2023.

What are the driving factors impacting the artificial intelligence (AI) in agriculture market?

Shifting preference from traditional to AI-based farming methods is the major factors that propel the global artificial intelligence (AI) in agriculture market.

What are the future trends of the artificial intelligence (AI) in agriculture market?

Robotics and automation in agriculture to play a significant role in the global artificial intelligence (AI) in agriculture market in the coming years.

Which are the leading players operating in the artificial intelligence (AI) in agriculture market?

The key players holding majority shares in the global artificial intelligence (AI) in agriculture market are Tule Technologies Inc, PrecisionHawk Inc, Easytosee Agtech SL, Deere & Co, Climate LLC, Gamaya SA, International Business Machines Corp, Microsoft Corp, Prospera Technologies Ltd, and Taranis.

What would be the estimated value of the artificial intelligence (AI) in agriculture market by 2031?

The global artificial intelligence (AI) in agriculture market is expected to reach US$ 9.48 billion by 2031.

What is the expected CAGR of the artificial intelligence (AI) in agriculture market?

The global artificial intelligence (AI) in agriculture market is estimated to register a CAGR of 21.9% during the forecast period 2023–2031.

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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