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农业人工智慧市场:按产品、技术、部署和应用划分 - 2024-2030 年全球预测Artificial Intelligence in Agriculture Market by Offering (Hardware, Services, Software), Technology (Computer Vision, Machine Learning, Predictive Analytics), Deployment, Application - Global Forecast 2024-2030 |
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农业人工智慧市场规模预估2023年为22.5亿美元,2024年达27.3亿美元,2030年预估达92.9亿美元,复合年增长率为22.45%。
农业人工智慧的全球市场
主要市场统计 | |
---|---|
基准年[2023] | 22.5亿美元 |
预测年份 [2024] | 27.3亿美元 |
预测年份 [2030] | 92.9亿美元 |
复合年增长率(%) | 22.45% |
人工智慧 (AI) 技术在农业领域显着成长,透过确定杂草检测和产量检测等各种参数,帮助农民优化生产和工作流程。这些人工智慧技术使农民能够识别需要农药处理、灌溉和施肥的特定区域,并在没有人为错误的情况下收穫作物。这些技术可以节省水、杀虫剂和除草剂的过度使用,保持土壤肥力并提高作物品质。此外,由于先进无人机 (UAV) 的多功能性,包括捕捉高品质影像和视讯的能力,使农民能够持续监测作物,农民对先进无人机 (UAV) 的采用显着增加。这些无人机正在帮助农民更有效地收集资料和追踪作物。此类无人机广泛用于农业领域的各种活动,如作物测绘、土壤分析、灌溉、害虫治理和提高作物产量。然而,人工智慧在农业领域的实施成本较高,农民对人工智慧的认知度较低,限制了市场的成长。此外,巨量资料、物联网等人工智慧驱动的先进农业技术将使灌溉、施肥、作物、收穫等农业作业更加精准。
区域洞察
随着北美地区人工智慧农业的普及,先进的农业设施和人工智慧农业的采用正在促进人工智慧在农业市场的成长。此外,旨在鼓励农民采用和整合技术的「未来农场」计画等美国政府倡议预计将为整个美洲农业领域的人工智慧创造市场机会。此外,SmartAgriHubs计划正在鼓励农民采用数位解决方案,以加速欧盟农业部门(主要是农村地区)的数位转型,预计将进一步扩大该地区的市场。新兴市场的开拓和政府在农业领域采用先进技术的计画正在扩大印度、中国和越南等亚太国家的市场规模。
FPNV定位矩阵
FPNV定位矩阵对于评估农业市场人工智慧至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对农业人工智慧市场中供应商的现状进行深入而详细的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该行业竞争特征的宝贵见解,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。这种详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1-市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2-市场开拓:我们深入研究利润丰厚的新兴市场并分析其在成熟细分市场的渗透率。
3- 市场多元化:提供有关新产品发布、开拓地区、最新发展和投资的详细资讯。
4-竞争力评估与资讯:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况、製造能力等进行全面评估。
5- 产品开发与创新:提供对未来技术、研发活动和突破性产品开发的见解。
1-农业人工智慧市场的市场规模和预测是多少?
2-在农业人工智慧市场预测期内,有哪些产品、细分市场、应用程式和领域需要考虑投资?
3-农业人工智慧市场的技术趋势和法律规范是什么?
4-农业人工智慧市场主要厂商的市场占有率是多少?
5-进入农业人工智慧市场有哪些合适的型态和策略手段?
农业技术
[186 Pages Report] The Artificial Intelligence in Agriculture Market size was estimated at USD 2.25 billion in 2023 and expected to reach USD 2.73 billion in 2024, at a CAGR 22.45% to reach USD 9.29 billion by 2030.
Global Artificial Intelligence in Agriculture Market
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 2.25 billion |
Estimated Year [2024] | USD 2.73 billion |
Forecast Year [2030] | USD 9.29 billion |
CAGR (%) | 22.45% |
Artificial intelligence (AI) techniques are significantly growing across the agriculture sector, which helps farmers to determine various parameters such as weed detection and yield detection and optimize the production and operation processes. These AI technologies allow farmers to recognize specific areas that need pesticide treatment, irrigation, and fertilization and harvest the crops without human error. In addition, these technologies save the excess use of water, pesticides, and herbicides, preserve soil fertility, and improve crop quality. Furthermore, the adoption of advanced unmanned aerial vehicles (UAVs) among farmers is significantly growing owing to their multiple features, such as capturing high-quality images and videos, which enables farmers to monitor the crops continuously. In addition, these unmanned aerial vehicles are assisting farmers in gathering data and tracking crops more effectively. These drones are widely used for various activities in agriculture, including crop mapping, soil analysis, irrigation, pest management, and increasing crop yield. However, the high cost of deployment of artificial intelligence and lack of awareness among farmers for AI in the agriculture sector is limiting the market growth. Moreover, introducing advanced farming technologies with artificial intelligence, such as big data and IoT, enables more precise farming practices, including irrigation, fertilizing, crop protection, and harvesting.
Regional Insights
The advanced agriculture facilities and adoption of AI-based agriculture owing to the easy accessibility of AI-based agriculture across North America regions are contributing to the growth of artificial intelligence in the agriculture market. Additionally, U.S. government initiatives such as the farms of the future program, which aim to encourage farmers to adopt and integrate technology, are expected to create opportunities for artificial intelligence in the agriculture market across the Americas. Furthermore, SmartAgriHubs projects are encouraging farmers to adopt digital solutions to accelerate the digital transformation in the EU farming sector, majorly in rural areas, which is further expected to grow the market in this region. Emerging agriculture developments and government programs for the adoption of advanced technologies across the agriculture sector in various Asia Pacific countries, including India, China, and Vietnam, are subsequently expanding the market scope.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Agriculture Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Agriculture Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Agriculture Market, highlighting leading vendors and their innovative profiles. These include Ag Code by Wilbur-Ellis Holdings, Inc., AGCO Corporation, AgEagle Aerial Systems Inc., AgNext, Apro Software, Bayer AG., Cainthus by Ever.Ag, ClimateAi, inc., Corteva Agriscience by Albaugh, LLC, Cropin Technology Solutions Pvt Ltd., CropX Technologies Ltd., DeHaat by Green Agrevolution PVT. LTD, Descartes Labs, Inc. by Antarctica Capital, FarmBot, Inc., Farmers Edge Inc., Gamaya Inc., Gro Intelligence, Inc., Infosys Limited, Intellias, LLC, Intello Labs Private Limited, International Business Machines Corporation, John Deere Group, Keenethics., Khetibuddy Agritech Private Limited., Microsoft Corporation, PrecisionHawk Inc., Raven Industries, Inc., Trace Genomics, Inc., Trimble Inc., Tule Technologies Inc., and Wipro Limited.
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Artificial Intelligence in Agriculture Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Agriculture Market?
3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Agriculture Market?
4. What is the market share of the leading vendors in the Artificial Intelligence in Agriculture Market?
5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Agriculture Market?
agricultural technologies