市場調查報告書
商品編碼
1435174
農業人工智慧市場:按產品、技術、部署和應用分類 - 2024-2030 年全球預測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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農業人工智慧市場規模預估2023年為22.5億美元,2024年達27.3億美元,2030年預估達92.9億美元,複合年成長率為22.45%。
農業人工智慧的全球市場
主要市場統計 | |
---|---|
基準年[2023] | 22.5億美元 |
預測年份 [2024] | 27.3億美元 |
預測年份 [2030] | 92.9億美元 |
複合年成長率(%) | 22.45% |
人工智慧 (AI) 技術在農業領域顯著成長,透過確定雜草檢測和產量檢測等各種參數,幫助農民最佳化生產和工作流程。這些人工智慧技術使農民能夠識別需要農藥處理、灌溉和施肥的特定區域,並在沒有人為錯誤的情況下收穫作物。這些技術可以節省水、殺蟲劑和除草劑的過度使用,保持土壤肥力並提高作物品質。此外,由於先進無人機 (UAV) 的多功能性,包括捕捉高品質影像和視訊的能力,使農民能夠持續監測作物,農民對先進無人機 (UAV) 的採用顯著增加。這些無人機正在幫助農民更有效地收集資料和追蹤作物。此類無人機廣泛用於農業領域的各種活動,如作物測繪、土壤分析、灌溉、害蟲治理和提高作物產量。然而,人工智慧在農業領域的實施成本較高,農民對人工智慧的認知度較低,限制了市場的成長。此外,巨量資料、物聯網等人工智慧驅動的先進農業技術將使灌溉、施肥、作物、收穫等農業作業更加精準。
區域洞察
隨著北美地區人工智慧農業的普及,先進的農業設施和人工智慧農業的採用正在促進人工智慧在農業市場的成長。此外,旨在鼓勵農民採用和整合技術的「未來農場」計畫等美國政府舉措預計將為整個美洲農業領域的人工智慧創造市場機會。此外,SmartAgriHubs計劃正在鼓勵農民採用數位解決方案,以加速歐盟農業部門(主要是農村地區)的數位轉型,預計將進一步擴大該地區的市場。新興市場的開拓和政府在農業領域採用先進技術的計畫正在擴大印度、中國和越南等亞太國家的市場規模。
FPNV定位矩陣
FPNV定位矩陣對於評估農業市場人工智慧至關重要。我們檢視與業務策略和產品滿意度相關的關鍵指標,以對供應商進行全面評估。這種深入的分析使用戶能夠根據自己的要求做出明智的決策。根據評估,供應商被分為四個成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可以對農業人工智慧市場中供應商的現狀進行深入而詳細的研究。全面比較和分析供應商在整體收益、基本客群和其他關鍵指標方面的貢獻,以便更好地了解公司的績效及其在爭奪市場佔有率時面臨的挑戰。此外,該分析還提供了對該行業競爭特徵的寶貴見解,包括在研究基準年觀察到的累積、分散主導地位和合併特徵等因素。這種詳細程度的提高使供應商能夠做出更明智的決策並制定有效的策略,從而在市場上獲得競爭優勢。
1-市場滲透率:提供有關主要企業所服務的市場的全面資訊。
2-市場開拓:我們深入研究利潤豐厚的新興市場並分析其在成熟細分市場的滲透率。
3- 市場多元化:提供有關新產品發布、開拓地區、最新發展和投資的詳細資訊。
4-競爭力評估與資訊:對主要企業的市場佔有率、策略、產品、認證、監管狀況、專利狀況、製造能力等進行全面評估。
5- 產品開發與創新:提供對未來技術、研發活動和突破性產品開發的見解。
1-農業人工智慧市場的市場規模和預測是多少?
2-在農業人工智慧市場預測期內,有哪些產品、細分市場、應用程式和領域需要考慮投資?
3-農業人工智慧市場的技術趨勢和法律規範是什麼?
4-農業人工智慧市場主要廠商的市場佔有率是多少?
5-進入農業人工智慧市場有哪些合適的型態和策略手段?
農業技術
[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