Precision Viticulture Market Size and Share

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Compare market size and growth of Precision Viticulture Market with other markets in Agriculture Industry

Precision Viticulture Market Analysis by Mordor Intelligence

The precision viticulture market size is valued at USD 1.20 billion in 2025 and is on course to reach USD 2.30 billion by 2030, advancing at a 13.9% CAGR through the forecast period. Sharply rising labor expenses, the rapid drop in sensor costs, and tougher runoff regulations are steering vineyard owners toward data-driven field operations. Drone-enabled multispectral imaging, once reserved for large estates, now sits below USD 5,000 per unit, opening a broad gateway for medium vineyards to adopt variable-rate spraying and real-time canopy diagnostics. California’s tightening water-quality rules, China’s digital-agriculture subsidies, and Australia’s climate-adaptation incentives together underpin a cross-regional surge in demand for connected equipment. Competitive pressure is also mounting: platform-based ecosystems that combine hardware, AI software, and advisory services are becoming the default procurement model for growers seeking both cost control and verified quality claims.

Key Report Takeaways

  • By component, hardware led with 46% revenue share in 2024; software is projected to register the fastest 17.2% CAGR to 2030.
  • By technology, GPS-guided steering systems accounted for 39% of the precision viticulture market share in 2024, while drone-based imaging is forecast to expand at a 22.5% CAGR through 2030.
  • By application, yield-monitoring tools captured 28.5% of the precision viticulture market size in 2024, and variable-rate systems are poised for 18.4% CAGR growth to 2030.
  • By end user, large vineyards held 44% share of the precision viticulture market size in 2024; medium vineyards recorded the strongest 19.1% CAGR outlook to 2030.
  • By deployment mode, on-premise systems dominated with 61% revenue share in 2024; cloud-based platforms are projected to grow at a 20.3% CAGR to 2030.
  • By geography, North America led with 36% revenue share in 2024, whereas Asia-Pacific is anticipated to clock the quickest 17.8% CAGR through 2030.

Segment Analysis

By Component: Hardware Commands near-term Spend while Software Accelerates

Hardware generated 46% of 2024 revenue as GPS terminals, RTK antennas, and variable-rate sprayers formed the bedrock of precision workflows. The precision viticulture market size for hardware is projected to advance at buoyed by autonomous tractors that reduce labor inputs by up to 40% per hectare. Software, though presently smaller, enjoys the top 17.2% CAGR because AI layers convert raw field data into predictive agronomy insights valued by oenologists. Subscription dashboards now bundle disease alarms, irrigation schedules, and carbon-credit MRV services, a combination that raises switching costs and drives stickier revenue streams. Services occupy 34% share, reflecting the installer network and agronomic consultancy hours needed to operationalize these complex systems. 

Smaller estates often choose services-first engagement, outsourcing drone flights and analytics before budgeting for their equipment. This “crawl-walk-run” pathway gradually builds digital muscle, smoothing the adoption curve. Vendors increasingly package hardware leasing, agronomy advice, and platform access in a single contract, a model anticipated to widen the precision viticulture market reach among cost-sensitive European growers. 

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Note: Segment shares of all individual segments available upon report purchase

By Deployment Mode: On-Premise Still Dominant; Cloud Racing Ahead

On-premise architecture retained a 61% share in 2024 as many growers insist on local servers to safeguard terroir IP and mitigate patchy internet. Cloud systems, though, lead in velocity with 20.3% CAGR. When Chilean estate data migrated to the cloud in 2024, nightly AI model refreshes boosted yield-forecast accuracy by 11%, persuading neighboring growers to follow. Hybrid topologies that pair edge gateways with cloud AI inference are emerging, promising secure autonomy with scalable analytics the likely endpoint for digitally mature vineyards inside the precision viticulture market. 

By Technology: Guidance Systems in Pole Position; Drones in the Fast Lane

Guidance modules anchored 39% revenue in 2024 and represent the entry point for growers new to site-specific farming. Precision autosteer kits boasting ±2-cm accuracy align boom sprayers exactly atop vineyard rows, cutting overlap and chemical spend by 18% on average across Washington State trials [7]Source: Washington State University Viticulture and Enology, “Autosteer Impacts on Spray Efficiency,” wsu.edu . The precision viticulture market size linked to drone and UAV imagery, although smaller today, is rising at a 22.5% CAGR thanks to permissive spray-drone laws and AI image stitching that delivers 250-acre coverage per flight. 

Variable-rate technology operates as the connective tissue between sensing and execution, directing fertilizers and fungicides solely where indices show need. Remote-sensing satellites remain complementary; scheduled 5-day revisits feed mid-season vigour maps that refine intra-row irrigations. Robotics remains nascent but strategically important: commercial prototypes now prune 240 vines per hour while simultaneously training an onboard model that self-improves across vintages, underscoring an emerging feedback loop inside the precision viticulture market. 

By Application: Yield Monitoring Still the Anchor; Variable-Rate Gains Pace

Yield sensors fitted to harvesters captured 28.5% market share in 2024, cementing their status as the foundational dataset for field profitability analytics. When those readings merge with sap-flow probes, wineries can allocate premium fermentor space days ahead of picking, shaving logistics friction. Variable-rate application tools, advancing at 18.4% CAGR, resonate with both environmental regulators and CFOs: in Chilean coastal vineyards, 19% fertilizer savings translated into USD 140 per acre OPEX drop in 2024 [8]Source: Chilean Ministry of Agriculture, “Site-Specific Nutrient Application Results,” chileag.cl

Field-and-vigour mapping, integrates NDVI mosaics, electrical conductivity, and leaf-water-potential tracks, giving viticulturists a layered snapshot of spatial heterogeneity. Disease-and-pest modules employ CNN-based leaf classification to detect downy mildew up to seven days earlier than manual scouting, facilitating spot spraying that protects beneficial insects and preserves label residue limits. Harvest quality assessments close the loop by correlating berry phenolics to micro-block soil nuance, supporting pricing models that market terroir authenticity at retail.

Precision Viticulture Market: Market Share by Application
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Note: Segment shares of all individual segments available upon report purchase

By End User: Larger Estates Lead but Medium Vineyards Close the Gap

Operations above 50 hectares accounted for 44% of 2024 revenue as scale economics justify full-suite deployments. Yet high-growth momentum sits with 10-50 hectare properties where cooperative financing and declining tech prices drive a 19.1% CAGR. These midsize players often sell through direct-to-consumer channels and therefore prize the data narratives that precision platforms generate, using them to justify price-point differentiation. Small vineyards remain constrained by capital budgets; however, rental drones and pay-per-acre analytics now lower the entry bar, signaling a gradual broadening of the precision viticulture market.

Geography Analysis

North America held a 36% lion’s share in 2024. Californian runoff caps and labor shortages push adoption, while the USDA’s USD 700 million ReConnect Program closes connectivity gaps in rural valleys. Canada’s Okanagan Valley now pilots government-backed carbon-credit schemes tied to precision spray logs, adding a revenue kicker that accelerates platform payback. 

Asia-Pacific is charting the swiftest 17.8% CAGR. China’s Digital Villages grants subsidies for GNSS-enabled tractors by up to 30% of the purchase price, igniting an upgrade wave among Ningxia’s emerging wine clusters. Australia couples drought resilience grants with sensor deployments that have already trimmed water demand by 25% in Barossa test beds. New Zealand’s biodiversity offsets likewise hinge on documented spray-volume reductions, aligning perfectly with variable-rate adoption. 

Europe shows steady market growth. EU Common Agricultural Policy reforms tie subsidies to soil-health metrics, effectively rewarding aerial imaging and variable-rate seeding. France’s drone-spray clearance and Germany’s tax incentives for autonomous implements provide direct monetary levers. Fragmented holdings continue to slow penetration in Italy and Spain, yet regional cooperatives now pool drone flights to overcome this hurdle, widening the precision viticulture market footprint. 

Precision Viticulture Market CAGR (%), Growth Rate by Region
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Competitive Landscape

Top-five vendors control the majority of global revenue, signaling moderate concentration yet leaving ample room for niche specialists. John Deere leads with a precision equipment portfolio that integrates RTK steering, machine vision, and cloud analytics. Trimble’s GNSS expertise follows John Deere, freshly bolstered by its USD 2 billion joint venture with AGCO that co-packages hardware and agronomy software into a single procurement channel. 

Mid-tier upstarts sharpen focus on targeted pain points: Greeneye Technology’s AI spraying system claims 88% herbicide cuts, a proposition resonating strongly with Europe’s chemical-reduction mandates. Phytech’s plant-stress sensors, meanwhile, anchor new irrigation as-a-service models that guarantee water savings. Consolidation is anticipated to intensify as incumbents scoop specialized IP to complete end-to-end platforms, echoing CNH’s 2025 move to embed Bluewhite autonomy inside New Holland tractors. 

Precision Viticulture Industry Leaders

  1. Deere & Company

  2. Trimble Inc.

  3. AGCO Corporation

  4. Hexagon Agriculture

  5. Topcon Positioning Systems, Inc

  6. *Disclaimer: Major Players sorted in no particular order
Precision Viticulture Market Concentration
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Recent Industry Developments

  • January 2025: New Zealand-based agritech company Robotics Plus introduced Prospr, an autonomous hybrid vehicle for vineyards and orchards, at the Unified Wine & Grape Symposium in California. The vehicle features modular architecture, AI capabilities, and all-day operation capacity for various crop management tasks, including intelligent spraying. Prospr increases operational efficiency, reduces fuel consumption by 70%.
  • July 2024: VineView launched the PinPoint RTK Handheld GPS Receiver for field data collection, offering accuracy through Real-Time Kinematic (RTK) technology. The device provides 2-5cm (2 inches) accuracy, compared to traditional GPS receivers with 2-4m (7-13ft) accuracy. This precision enables vineyard operators to create detailed maps for decision-making and planning.
  • June 2024: CNH Industrial and Bluewhite began integrating autonomy into New Holland orchard and vineyard tractors, targeting up to 85% labor-cost relief.
  • January 2023: CropX Technologies acquired Tule Technologies, a California-based precision irrigation company. The acquisition expanded CropX's presence in California, specifically in the drip-irrigated specialty crops segment, including grapes and nuts.

Table of Contents for Precision Viticulture Industry Report

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Escalating Labor Shortages in Vineyards
    • 4.2.2 Growing Availability of Affordable Multispectral Drones
    • 4.2.3 Increasing regulatory pressure on agro-chemical runoff
    • 4.2.4 Rising demand for premium-quality, terroir-specific wines
    • 4.2.5 AI-enabled yield-prediction analytics
    • 4.2.6 Carbon-credit monetization for low-input vineyards
  • 4.3 Market Restraints
    • 4.3.1 High upfront hardware and retrofit costs
    • 4.3.2 Fragmented vineyard landholding patterns
    • 4.3.3 Limited broadband coverage in rural terroirs
    • 4.3.4 Data ownership and privacy concerns among growers
  • 4.4 Regulatory Landscape
  • 4.5 Technological Outlook
  • 4.6 Porters Five Force Analysis
    • 4.6.1 Threat of New Entrants
    • 4.6.2 Bargaining Power of Suppliers
    • 4.6.3 Bargaining Power of Buyers
    • 4.6.4 Threat of Substitutes
    • 4.6.5 Competitive Rivalry

5. MARKET SIZE AND GROWTH FORECASTS

  • 5.1 By Component (Value)
    • 5.1.1 Hardware
    • 5.1.2 Software
    • 5.1.3 Services
  • 5.2 By Technology (Value)
    • 5.2.1 Guidance (GPS / GNSS)
    • 5.2.2 Variable-Rate Technology
    • 5.2.3 Remote Sensing
    • 5.2.4 IoT Sensors and Edge Devices
    • 5.2.5 Robotics and Drones
  • 5.3 By Application (Value)
    • 5.3.1 Yield Monitoring
    • 5.3.2 Field and Vigor Mapping
    • 5.3.3 Variable-Rate Application
    • 5.3.4 Disease and Pest Management
    • 5.3.5 Irrigation Management
    • 5.3.6 Harvest Quality Assessment
  • 5.4 By End User (Value)
    • 5.4.1 Large Vineyards (>50 ha)
    • 5.4.2 Medium Vineyards (10-50 ha)
    • 5.4.3 Small Vineyards (<10 ha)
  • 5.5 By Deployment Mode (Value)
    • 5.5.1 On-premise
    • 5.5.2 Cloud-based
  • 5.6 By Geography (Value)
    • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Rest of North America
    • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Chile
    • 5.6.2.4 Rest of South America
    • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 France
    • 5.6.3.3 Italy
    • 5.6.3.4 Spain
    • 5.6.3.5 United Kingdom
    • 5.6.3.6 Russia
    • 5.6.3.7 Rest of Europe
    • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 Australia
    • 5.6.4.5 New Zealand
    • 5.6.4.6 Rest of Asia-Pacific
    • 5.6.5 Middle East
    • 5.6.5.1 Turkey
    • 5.6.5.2 Israel
    • 5.6.5.3 Saudi Arabia
    • 5.6.5.4 Rest of Middle East
    • 5.6.6 Africa
    • 5.6.6.1 South Africa
    • 5.6.6.2 Egypt
    • 5.6.6.3 Rest of Africa

6. COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank or Share, Products and Services, and Recent Developments)
    • 6.4.1 Deere & Company
    • 6.4.2 Trimble Inc.
    • 6.4.3 AGCO Corporation
    • 6.4.4 Topcon Positioning Systems, Inc
    • 6.4.5 Hexagon Agriculture
    • 6.4.6 SZ DJI Technology Co., Ltd.
    • 6.4.7 Climate Corporation (Bayer)
    • 6.4.8 Yara International ASA
    • 6.4.9 Kubota Corporation
    • 6.4.10 Parrot Drones SAS
    • 6.4.11 Vineview
    • 6.4.12 Gamaya Enterprises LLP
    • 6.4.13 Aerobotics
    • 6.4.14 Deveron Corporation
    • 6.4.15 A.A.A Taranis Visual Ltd

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

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Key Questions Answered in the Report

What is the current precision viticulture market size?

The precision viticulture market size stands at USD 1.20 billion in 2025 and is forecast to reach USD 2.30 billion by 2030.

Which component segment is growing the fastest?

Software shows the quickest momentum, projected at a 17.2% CAGR through 2030 as AI analytics become essential for decision support.

Why are drones vital to precision viticulture?

Affordable multispectral drones enable rapid canopy health mapping, disease detection, and slope-safe spray applications, driving a 22.5% CAGR in the drone technology segment.

Which region leads and which is growing fastest?

North America currently leads with 36% revenue share, while Asia-Pacific posts the fastest 17.8% CAGR as China and Australia ramp up digital farming incentives.

How do precision tools help manage vineyard labor shortages?

Autonomous tractors and AI steering cut manual labor needs by up to 40%, addressing a 30% decline in seasonal worker availability since 2020.

What restrains widespread adoption?

High upfront hardware costs, fragmented landholdings, rural connectivity gaps, and unresolved data-ownership concerns collectively temper adoption speed.

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