Industry: Machinery & Equipment
Published Date: 2026-07-29
Pages: 154 Pages
Report ld: 6982540
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KEY FINDINGS
In 2025, global Automatic Weather Station Data Logger production reached approximately 149,326 Units.The average price is approximately $1,900.
North America represented approximately 36% of 2025 demand, followed closely by Europe at 35%
The verified supply pool contains about 60 relevant manufacturers, including 39 companies in the core formal list
The 30 leading report-scope suppliers collectively represented approximately 83% of the narrowly defined market
Automatic Weather Station Data Logger Market Size(US$)

CAGR 2026-2032
5.4%
Market Size,2032
USD 407
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for Automatic Weather Station Data Logger was estimated to be worth US$ 284 million in 2025 and is projected to reach US$ 407 million, growing at a CAGR of 5.4% from 2026 to 2032.
Automatic Weather Station Data Logger refers to the dedicated data acquisition, processing, storage and communications-control hardware deployed within professional automatic weather stations and remote meteorological observation nodes. The equipment connects wind, air temperature and humidity, atmospheric pressure, precipitation, solar radiation, visibility, soil and hydrological sensors through analog inputs, pulse or frequency channels, resistance measurement, RS-232, RS-485, Modbus, SDI-12 and other digital interfaces. Its principal functions include configurable sampling, signal conversion, meteorological statistics, derived-parameter calculation, timestamp synchronization, preliminary quality control, non-volatile data storage, sensor power management, equipment diagnostics and remote data transmission. Major product forms include stand-alone programmable data loggers, dedicated meteorological loggers, telemetry-oriented acquisition terminals and integrated controller-logger modules incorporated into automatic weather stations. This study focuses on the acquisition and control unit used in national meteorological observation, agricultural meteorology, hydrometeorology and early warning, fire and transportation weather monitoring, renewable-energy resource assessment, environmental research and unattended remote monitoring.
MARKET TRENDS
MARKET SEGMENTATION
MARKET DYNAMICS
Drivers
Market demand is supported by the modernization of national surface observation networks, replacement of aging weather stations, expansion of flood and flash-flood warning systems, agricultural digitalization and greater monitoring requirements for wildfire, transportation and renewable-energy projects. The World Meteorological Organization’s Global Basic Observing Network and Systematic Observations Financing Facility are intended to close fundamental weather and climate observation gaps, particularly in least developed countries and small island developing states, while strengthening the observational foundation of the Early Warnings for All initiative. These programs favor reliable, standards-compatible and remotely maintainable acquisition equipment capable of continuous unattended operation and international data exchange.
Restraints
Growth is constrained by long equipment replacement cycles, irregular government procurement schedules and the limited scale of a highly specialized professional market. Price competition is increasing in agricultural and entry-level environmental monitoring, where integrated multi-parameter sensors, low-cost IoT gateways and cloud-connected nodes can reduce the need for a separate data logger. Buyers also face high lifecycle costs associated with calibration, communications subscriptions, lightning protection, field maintenance and compatibility testing. In developing markets, limited technical personnel and insufficient maintenance budgets may result in delayed station repairs, low data availability and cautious investment in more sophisticated systems.
Opportunities
The strongest opportunities lie in observation-deficit regions, distributed early-warning networks and applications requiring higher monitoring density without a proportional increase in field-service costs. Low-power electronics, LTE-M, NB-IoT, LoRaWAN and satellite communications allow stations to be deployed in remote agricultural, hydrological, mountainous and coastal locations that were previously difficult to operate economically. Additional opportunities are emerging from fire-weather monitoring, solar and wind resource assessment, climate-resilience infrastructure and the modernization of existing stations through controller replacement rather than complete system replacement. Suppliers that combine open sensor compatibility, remote diagnostics and localized service capabilities are positioned to capture a greater share of these upgrade programs.
Challenges
The industry must manage fragmented technical specifications, different national observation practices and inconsistent definitions of data loggers, telemetry units and integrated station controllers. Long-term field reliability remains difficult because systems must withstand temperature extremes, humidity, corrosion, unstable power supplies, lightning and intermittent communications while preserving data integrity. Interoperability between sensors, loggers, communications networks and software platforms can increase project-engineering requirements. Cybersecurity and remote-device management are becoming more important as stations connect directly to operational networks, creating additional development and certification costs for smaller manufacturers. Suppliers must therefore balance open architecture and customization with product standardization, cost control and long-term technical support.
INDUSTRY CHAIN ANALYSIS
The upstream industry includes microcontrollers, high-resolution analog-to-digital converters, memory components, real-time clocks, communication modems, interface chips, power-management devices, surge-protection components, connectors, printed circuit boards, batteries, solar-power components and weather-resistant enclosures. Component selection directly affects measurement stability, standby power, electromagnetic compatibility, environmental durability and expected service life. Specialized suppliers must also maintain firmware development, communications-protocol libraries, time synchronization and meteorological calculation capabilities, making embedded software and application engineering an important part of upstream value creation.
Midstream manufacturers design and assemble the logger hardware, develop firmware and configuration software, integrate communications modules, conduct environmental and electrical testing, and validate compatibility with meteorological sensors. Value is created through low-noise measurement design, reliable data processing, open protocol support, field diagnostics and application-specific engineering rather than through basic electronics assembly alone. Downstream customers include national meteorological and hydrological agencies, agricultural operators, research institutions, transport authorities, renewable-energy developers, disaster-management agencies and industrial users. Higher margins are generally associated with programmable products, certified high-reliability systems and projects requiring communications integration or long-term support, while compact agricultural products compete more heavily on manufacturing cost, channel efficiency and cloud connectivity.
SEGMENT INSIGHTS
By product architecture, stand-alone programmable data loggers and dedicated meteorological data loggers continue to account for the largest share of revenue because they serve high-value national observation, scientific research, hydrological and renewable-energy applications. These products support mixed analog and digital sensors, customizable calculations and communications redundancy, resulting in higher average selling prices and longer qualification cycles. Telemetry data loggers and integrated controller-logger modules form another significant segment, particularly where automatic stations are procured as complete systems rather than as individual components.
Compact integrated nodes and user-configurable low-power loggers are expanding faster in unit terms, supported by agricultural meteorology, ecological monitoring and distributed warning networks. Fully programmable products are unlikely to be displaced in technically complex stations, but fixed-function products face greater pressure from intelligent sensors and direct-to-cloud gateways. Hybrid multi-interface systems that combine analog, pulse, SDI-12 and Modbus connectivity offer the broadest replacement opportunity because they allow operators to retain existing sensors while upgrading communications and data management.
DOWNSTREAM MARKET OPPORTUNITIES
National meteorological and hydrometeorological networks remain the principal source of high-value demand because their installations require traceable measurements, robust field performance and long operating lives. Agricultural meteorology represents a larger-volume opportunity, driven by irrigation management, crop-disease forecasting, microclimate monitoring and climate-risk management. Flood warning, wildfire monitoring and transportation weather systems provide additional demand for low-power telemetry, redundant communications and rapid alarm transmission. Renewable-energy developers also require reliable meteorological acquisition for wind and solar resource assessment, project validation and operational performance monitoring. Across these applications, replacement of outdated controllers and communications equipment may provide a more immediate opportunity than construction of entirely new observation stations.
REGIONAL INSIGHTS

Fastest-Growing Region: Asia Pacific
North America was the largest regional market in 2025, accounting for approximately 36.73% of demand, while Europe represented approximately 35.99%. North America benefits from an established base of research-grade programmable loggers, agricultural monitoring systems, hydrological telemetry and fire-weather networks. Europe has the highest density of specialized manufacturers and a diversified customer base spanning national meteorology, hydrology, road weather, marine monitoring and renewable-energy assessment. These two regions also account for a disproportionate share of high-value and technically configurable products.
BY TYPE,2021-2032(US $ MILLION)
Stand-alone Programmable Data Logger
Dedicated Meteorological Data Logger
Integrated AWS Controller-Logger
Others
BY APPLICATION,2021-2032(US $ MILLION)
National Meteorological and Climate Observation
Agricultural Meteorology
Hydrometeorology and Early Warning
Others
China represented approximately 8.50% of the market and combines growing domestic manufacturing capability with strong demand for agricultural, ecological and public-sector weather stations. India, Southeast Asia, the Middle East, Africa and parts of Latin America remain more dependent on imported core equipment and local system integrators, but offer greater incremental potential as observation gaps are addressed. Australia has a distinctive position in low-power telemetry and equipment designed for remote or harsh environments. Regional success increasingly depends on local technical support, communications compatibility, procurement qualifications and the ability to maintain equipment over extended operating cycles.
COMPETITIVE LANDSCAPE ANALYSIS
The competitive landscape has a moderately concentrated global core and a broad regional tail. Campbell Scientific and Vaisala maintain strong positions in programmable, high-reliability and national-level observation systems, while AEM, Veralto, LI-COR, Senseca and KISTERS compete through broader portfolios spanning sensors, data acquisition, telemetry and data platforms. Specialized European companies differentiate themselves through meteorological expertise, hydrological telemetry, renewable-energy measurement or transport-weather applications, whereas Chinese and Indian suppliers are more competitive in cost-sensitive integrated stations and localized project delivery. Recent acquisitions have reduced the number of independently reported brands but have expanded the technical and geographic reach of several platform groups. Regional manufacturers remain relevant because field installation, calibration, communications configuration and after-sales maintenance require local capabilities. Future competition will increasingly depend on protocol openness, remote diagnostics, cybersecurity, communications flexibility and the ability to combine hardware reliability with software-enabled lifecycle services.
REPORT SCOPE
This report provides a comprehensive view of the global market for Automatic Weather Station Data Logger, covering total sales volume, sales revenue, pricing, the market share and ranking of key companies, along with analyses by region & country, by Type, and by Application.
The Automatic Weather Station Data Logger market size, estimations, and forecasts are presented in terms of sales volume (K Units) and revenue ($ millions), with 2025 as the base year and historical and forecast data from 2021 to 2032. The report combines quantitative and qualitative analysis to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current marketplace, and make informed business decisions regarding Automatic Weather Station Data Logger.
CHAPTER OUTLINE
Chapter 1: Introduces the scope of the report and the global market size (value, volume, and price). It also summarizes market dynamics and Recent Developments; identifies key drivers and restraints; outlines challenges and risks for manufacturers; reviews relevant industry policies and U.S. tariff implications.
Chapter 2: Provides a detailed analysis of the Automatic Weather Station Data Logger manufacturers' competitive landscape—including pricing, sales and revenue shares, Recent Developments plans, and mergers and acquisitions (M&A).
Chapter 3: Analyzes market segmentation by Type, presenting the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 4: Analyzes market segmentation by Application, presenting the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 5: Presents Automatic Weather Station Data Logger sales and revenue at the regional level. It offers a quantitative assessment of market size and growth potential by region and summarizes market development, future prospects, addressable space, and country-level market size worldwide.
Chapter 6: Presents Automatic Weather Station Data Logger sales and revenue at the country level. It provides segmented data by Type and by Application for each country/region.
Chapter 7: Profiles key players, detailing the main companies' product sales, revenue, pricing, gross margin, product portfolios, Recent Developments, etc.
Chapter 8: Analyzes the industry value chain, including upstream suppliers and downstream applications/customers.
Chapter 9: Conclusion.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
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TABLE OF CONTENTS
1 Market Overview
1.1 Automatic Weather Station Data Logger Product Introduction
1.2 Global Automatic Weather Station Data Logger Market Size Forecast
1.2.1 Global Automatic Weather Station Data Logger Sales Value (2021–2032)
1.2.2 Global Automatic Weather Station Data Logger Sales Volume (2021–2032)
1.2.3 Global Automatic Weather Station Data Logger Sales Price (2021–2032)
1.3 Automatic Weather Station Data Logger Market Trends & Drivers
1.3.1 Automatic Weather Station Data Logger Industry Trends
1.3.2 Automatic Weather Station Data Logger Market Drivers & Opportunities
1.3.3 Automatic Weather Station Data Logger Market Challenges
1.3.4 Automatic Weather Station Data Logger Market Restraints
1.3.5 Impact of U.S. Tariffs
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Automatic Weather Station Data Logger Players Revenue Ranking (2025)
2.2 Global Automatic Weather Station Data Logger Revenue by Company (2021–2026)
2.3 Global Automatic Weather Station Data Logger Sales Volume Ranking of Players (2025)
2.4 Global Automatic Weather Station Data Logger Sales Volume by Company (2021–2026)
2.5 Global Automatic Weather Station Data Logger Average Price by Company (2021–2026)
2.6 Key Manufacturers Automatic Weather Station Data Logger Manufacturing Base and Headquarters
2.7 Key Manufacturers Automatic Weather Station Data Logger Product Offerings
2.8 Key Manufacturers Start of Mass Production of Automatic Weather Station Data Logger
2.9 Automatic Weather Station Data Logger Market Competitive Analysis
2.9.1 Automatic Weather Station Data Logger Market Concentration Rate (2021–2026)
2.9.2 Global 5 and 10 Largest Manufacturers by Automatic Weather Station Data Logger Revenue in 2025
2.9.3 Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on Automatic Weather Station Data Logger revenue, 2025
2.10 Mergers & Acquisitions and Expansion
3 Segmentation Automatic Weather Station Data Logger Market Classification
3.1 Introduction by Type
3.1.1 Stand-alone Programmable Data Logger
3.1.2 Dedicated Meteorological Data Logger
3.1.3 Integrated AWS Controller-Logger
3.1.4 Others
3.1.5 Global Automatic Weather Station Data Logger Sales Value by Type
3.1.5.1 Global Automatic Weather Station Data Logger Sales Value by Type (2021 vs 2025 vs 2032)
3.1.5.2 Global Automatic Weather Station Data Logger Sales Value, by Type (2021–2032)
3.1.5.3 Global Automatic Weather Station Data Logger Sales Value, by Type (%), 2021–2032
3.1.6 Global Automatic Weather Station Data Logger Sales Volume by Type
3.1.6.1 Global Automatic Weather Station Data Logger Sales Volume by Type (2021 vs 2025 vs 2032)
3.1.6.2 Global Automatic Weather Station Data Logger Sales Volume, by Type (2021–2032)
3.1.6.3 Global Automatic Weather Station Data Logger Sales Volume, by Type (%), 2021–2032
3.1.7 Global Automatic Weather Station Data Logger Average Price by Type (2021–2032)
3.2 Introduction by Processing and Configuration Capability
3.2.1 Fixed-function Logger
3.2.2 User-configurable Logger
3.2.3 Fully Programmable Logger
3.2.4 Others
3.2.5 Global Automatic Weather Station Data Logger Sales Value by Processing and Configuration Capability
3.2.5.1 Global Automatic Weather Station Data Logger Sales Value by Processing and Configuration Capability (2021 vs 2025 vs 2032)
3.2.5.2 Global Automatic Weather Station Data Logger Sales Value, by Processing and Configuration Capability (2021–2032)
3.2.5.3 Global Automatic Weather Station Data Logger Sales Value, by Processing and Configuration Capability (%), 2021–2032
3.2.6 Global Automatic Weather Station Data Logger Sales Volume by Processing and Configuration Capability
3.2.6.1 Global Automatic Weather Station Data Logger Sales Volume by Processing and Configuration Capability (2021 vs 2025 vs 2032)
3.2.6.2 Global Automatic Weather Station Data Logger Sales Volume, by Processing and Configuration Capability (2021–2032)
3.2.6.3 Global Automatic Weather Station Data Logger Sales Volume, by Processing and Configuration Capability (%), 2021–2032
3.2.7 Global Automatic Weather Station Data Logger Average Price by Processing and Configuration Capability (2021–2032)
3.3 Introduction by Sampling Period
3.3.1 Sampling Period 1min~60min
3.3.2 Sampling Period 1s~60s
3.3.3 Sampling Period 0.1s~1s
3.3.4 Global Automatic Weather Station Data Logger Sales Value by Sampling Period
3.3.4.1 Global Automatic Weather Station Data Logger Sales Value by Sampling Period (2021 vs 2025 vs 2032)
3.3.4.2 Global Automatic Weather Station Data Logger Sales Value, by Sampling Period (2021–2032)
3.3.4.3 Global Automatic Weather Station Data Logger Sales Value, by Sampling Period (%), 2021–2032
3.3.5 Global Automatic Weather Station Data Logger Sales Volume by Sampling Period
3.3.5.1 Global Automatic Weather Station Data Logger Sales Volume by Sampling Period (2021 vs 2025 vs 2032)
3.3.5.2 Global Automatic Weather Station Data Logger Sales Volume, by Sampling Period (2021–2032)
3.3.5.3 Global Automatic Weather Station Data Logger Sales Volume, by Sampling Period (%), 2021–2032
3.3.6 Global Automatic Weather Station Data Logger Average Price by Sampling Period (2021–2032)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 National Meteorological and Climate Observation
4.1.2 Agricultural Meteorology
4.1.3 Hydrometeorology and Early Warning
4.1.4 Others
4.2 Global Automatic Weather Station Data Logger Sales Value by Application
4.2.1 Global Automatic Weather Station Data Logger Sales Value by Application (2021 vs 2025 vs 2032)
4.2.2 Global Automatic Weather Station Data Logger Sales Value, by Application (2021–2032)
4.2.3 Global Automatic Weather Station Data Logger Sales Value, by Application (%), 2021–2032
4.3 Global Automatic Weather Station Data Logger Sales Volume by Application
4.3.1 Global Automatic Weather Station Data Logger Sales Volume by Application (2021 vs 2025 vs 2032)
4.3.2 Global Automatic Weather Station Data Logger Sales Volume, by Application (2021–2032)
4.3.3 Global Automatic Weather Station Data Logger Sales Volume, by Application (%), 2021–2032
4.4 Global Automatic Weather Station Data Logger Average Price by Application (2021–2032)
5 Segmentation by Region
5.1 Global Automatic Weather Station Data Logger Sales Value by Region
5.1.1 Global Automatic Weather Station Data Logger Sales Value by Region: 2021 vs 2025 vs 2032
5.1.2 Global Automatic Weather Station Data Logger Sales Value by Region (2021–2026)
5.1.3 Global Automatic Weather Station Data Logger Sales Value by Region (2027–2032)
5.1.4 Global Automatic Weather Station Data Logger Sales Value by Region (%), 2021–2032
5.2 Global Automatic Weather Station Data Logger Sales Volume by Region
5.2.1 Global Automatic Weather Station Data Logger Sales Volume by Region: 2021 vs 2025 vs 2032
5.2.2 Global Automatic Weather Station Data Logger Sales Volume by Region (2021–2026)
5.2.3 Global Automatic Weather Station Data Logger Sales Volume by Region (2027–2032)
5.2.4 Global Automatic Weather Station Data Logger Sales Volume by Region (%), 2021–2032
5.3 Global Automatic Weather Station Data Logger Average Price by Region (2021–2032)
5.4 North America
5.4.1 North America Automatic Weather Station Data Logger Sales Value, 2021–2032
5.4.2 North America Automatic Weather Station Data Logger Sales Value by Country (%), 2025 vs 2032
5.5 Europe
5.5.1 Europe Automatic Weather Station Data Logger Sales Value, 2021–2032
5.5.2 Europe Automatic Weather Station Data Logger Sales Value by Country (%), 2025 vs 2032
5.6 Asia Pacific
5.6.1 Asia Pacific Automatic Weather Station Data Logger Sales Value, 2021–2032
5.6.2 Asia Pacific Automatic Weather Station Data Logger Sales Value by Region (%), 2025 vs 2032
5.7 South America
5.7.1 South America Automatic Weather Station Data Logger Sales Value, 2021–2032
5.7.2 South America Automatic Weather Station Data Logger Sales Value by Country (%), 2025 vs 2032
5.8 Middle East & Africa
5.8.1 Middle East & Africa Automatic Weather Station Data Logger Sales Value, 2021–2032
5.8.2 Middle East & Africa Automatic Weather Station Data Logger Sales Value by Country (%), 2025 vs 2032
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Automatic Weather Station Data Logger Sales Value Growth Trends, 2021 vs 2025 vs 2032
6.2 Key Countries/Regions Automatic Weather Station Data Logger Sales Value and Sales Volume
6.2.1 Key Countries/Regions Automatic Weather Station Data Logger Sales Value, 2021–2032
6.2.2 Key Countries/Regions Automatic Weather Station Data Logger Sales Volume, 2021–2032
6.3 United States
6.3.1 United States Automatic Weather Station Data Logger Sales Value, 2021–2032
6.3.2 United States Automatic Weather Station Data Logger Sales Value by Type (%), 2025 vs 2032
6.3.3 United States Automatic Weather Station Data Logger Sales Value by Application, 2025 vs 2032
6.4 Europe
6.4.1 Europe Automatic Weather Station Data Logger Sales Value, 2021–2032
6.4.2 Europe Automatic Weather Station Data Logger Sales Value by Type (%), 2025 vs 2032
6.4.3 Europe Automatic Weather Station Data Logger Sales Value by Application, 2025 vs 2032
6.5 China
6.5.1 China Automatic Weather Station Data Logger Sales Value, 2021–2032
6.5.2 China Automatic Weather Station Data Logger Sales Value by Type (%), 2025 vs 2032
6.5.3 China Automatic Weather Station Data Logger Sales Value by Application, 2025 vs 2032
6.6 Japan
6.6.1 Japan Automatic Weather Station Data Logger Sales Value, 2021–2032
6.6.2 Japan Automatic Weather Station Data Logger Sales Value by Type (%), 2025 vs 2032
6.6.3 Japan Automatic Weather Station Data Logger Sales Value by Application, 2025 vs 2032
6.7 South Korea
6.7.1 South Korea Automatic Weather Station Data Logger Sales Value, 2021–2032
6.7.2 South Korea Automatic Weather Station Data Logger Sales Value by Type (%), 2025 vs 2032
6.7.3 South Korea Automatic Weather Station Data Logger Sales Value by Application, 2025 vs 2032
6.8 Southeast Asia
6.8.1 Southeast Asia Automatic Weather Station Data Logger Sales Value, 2021–2032
6.8.2 Southeast Asia Automatic Weather Station Data Logger Sales Value by Type (%), 2025 vs 2032
6.8.3 Southeast Asia Automatic Weather Station Data Logger Sales Value by Application, 2025 vs 2032
6.9 India
6.9.1 India Automatic Weather Station Data Logger Sales Value, 2021–2032
6.9.2 India Automatic Weather Station Data Logger Sales Value by Type (%), 2025 vs 2032
6.9.3 India Automatic Weather Station Data Logger Sales Value by Application, 2025 vs 2032
7 Company Profiles
7.1 Campbell Scientific, Inc.
7.1.1 Campbell Scientific, Inc. Company Information
7.1.2 Campbell Scientific, Inc. Introduction and Business Overview
7.1.3 Campbell Scientific, Inc. Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.1.4 Campbell Scientific, Inc. Automatic Weather Station Data Logger Product Offerings
7.1.5 Campbell Scientific, Inc. Recent Developments
7.2 Vaisala Oyj
7.2.1 Vaisala Oyj Company Information
7.2.2 Vaisala Oyj Introduction and Business Overview
7.2.3 Vaisala Oyj Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.2.4 Vaisala Oyj Automatic Weather Station Data Logger Product Offerings
7.2.5 Vaisala Oyj Recent Developments
7.3 Advanced Environmental Monitoring Holdings,LLC
7.3.1 Advanced Environmental Monitoring Holdings,LLC Company Information
7.3.2 Advanced Environmental Monitoring Holdings,LLC Introduction and Business Overview
7.3.3 Advanced Environmental Monitoring Holdings,LLC Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.3.4 Advanced Environmental Monitoring Holdings,LLC Automatic Weather Station Data Logger Product Offerings
7.3.5 Advanced Environmental Monitoring Holdings,LLC Recent Developments
7.4 LI-COR, Inc.
7.4.1 LI-COR, Inc. Company Information
7.4.2 LI-COR, Inc. Introduction and Business Overview
7.4.3 LI-COR, Inc. Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.4.4 LI-COR, Inc. Automatic Weather Station Data Logger Product Offerings
7.4.5 LI-COR, Inc. Recent Developments
7.5 Veralto Corporation
7.5.1 Veralto Corporation Company Information
7.5.2 Veralto Corporation Introduction and Business Overview
7.5.3 Veralto Corporation Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.5.4 Veralto Corporation Automatic Weather Station Data Logger Product Offerings
7.5.5 Veralto Corporation Recent Developments
7.6 METER Group, Inc.USA
7.6.1 METER Group, Inc.USA Company Information
7.6.2 METER Group, Inc.USA Introduction and Business Overview
7.6.3 METER Group, Inc.USA Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.6.4 METER Group, Inc.USA Automatic Weather Station Data Logger Product Offerings
7.6.5 METER Group, Inc.USA Recent Developments
7.7 Pessl Instruments GmbH
7.7.1 Pessl Instruments GmbH Company Information
7.7.2 Pessl Instruments GmbH Introduction and Business Overview
7.7.3 Pessl Instruments GmbH Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.7.4 Pessl Instruments GmbH Automatic Weather Station Data Logger Product Offerings
7.7.5 Pessl Instruments GmbH Recent Developments
7.8 Xylem Inc.
7.8.1 Xylem Inc. Company Information
7.8.2 Xylem Inc. Introduction and Business Overview
7.8.3 Xylem Inc. Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.8.4 Xylem Inc. Automatic Weather Station Data Logger Product Offerings
7.8.5 Xylem Inc. Recent Developments
7.9 Spectrum Technologies, Inc.
7.9.1 Spectrum Technologies, Inc. Company Information
7.9.2 Spectrum Technologies, Inc. Introduction and Business Overview
7.9.3 Spectrum Technologies, Inc. Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.9.4 Spectrum Technologies, Inc. Automatic Weather Station Data Logger Product Offerings
7.9.5 Spectrum Technologies, Inc. Recent Developments
7.10 LSI LASTEM S.r.I.
7.10.1 LSI LASTEM S.r.I. Company Information
7.10.2 LSI LASTEM S.r.I. Introduction and Business Overview
7.10.3 LSI LASTEM S.r.I. Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.10.4 LSI LASTEM S.r.I. Automatic Weather Station Data Logger Product Offerings
7.10.5 LSI LASTEM S.r.I. Recent Developments
7.11 Delta-T Devices Ltd.
7.11.1 Delta-T Devices Ltd. Company Information
7.11.2 Delta-T Devices Ltd. Introduction and Business Overview
7.11.3 Delta-T Devices Ltd. Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.11.4 Delta-T Devices Ltd. Automatic Weather Station Data Logger Product Offerings
7.11.5 Delta-T Devices Ltd. Recent Developments
7.12 Ammonit Measurement GmbH
7.12.1 Ammonit Measurement GmbH Company Information
7.12.2 Ammonit Measurement GmbH Introduction and Business Overview
7.12.3 Ammonit Measurement GmbH Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.12.4 Ammonit Measurement GmbH Automatic Weather Station Data Logger Product Offerings
7.12.5 Ammonit Measurement GmbH Recent Developments
7.13 KISTERS AG
7.13.1 KISTERS AG Company Information
7.13.2 KISTERS AG Introduction and Business Overview
7.13.3 KISTERS AG Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.13.4 KISTERS AG Automatic Weather Station Data Logger Product Offerings
7.13.5 KISTERS AG Recent Developments
7.14 Senseca Germany GmbH
7.14.1 Senseca Germany GmbH Company Information
7.14.2 Senseca Germany GmbH Introduction and Business Overview
7.14.3 Senseca Germany GmbH Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.14.4 Senseca Germany GmbH Automatic Weather Station Data Logger Product Offerings
7.14.5 Senseca Germany GmbH Recent Developments
7.15 Adolf Thies GmbH & Co.KG
7.15.1 Adolf Thies GmbH & Co.KG Company Information
7.15.2 Adolf Thies GmbH & Co.KG Introduction and Business Overview
7.15.3 Adolf Thies GmbH & Co.KG Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.15.4 Adolf Thies GmbH & Co.KG Automatic Weather Station Data Logger Product Offerings
7.15.5 Adolf Thies GmbH & Co.KG Recent Developments
7.16 MicroStep-MIS, spol.s r.o.
7.16.1 MicroStep-MIS, spol.s r.o. Company Information
7.16.2 MicroStep-MIS, spol.s r.o. Introduction and Business Overview
7.16.3 MicroStep-MIS, spol.s r.o. Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.16.4 MicroStep-MIS, spol.s r.o. Automatic Weather Station Data Logger Product Offerings
7.16.5 MicroStep-MIS, spol.s r.o. Recent Developments
7.17 Unidata Pty Ltd.
7.17.1 Unidata Pty Ltd. Company Information
7.17.2 Unidata Pty Ltd. Introduction and Business Overview
7.17.3 Unidata Pty Ltd. Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.17.4 Unidata Pty Ltd. Automatic Weather Station Data Logger Product Offerings
7.17.5 Unidata Pty Ltd. Recent Developments
7.18 ZOGLAB Microsystem Co., Ltd.
7.18.1 ZOGLAB Microsystem Co., Ltd. Company Information
7.18.2 ZOGLAB Microsystem Co., Ltd. Introduction and Business Overview
7.18.3 ZOGLAB Microsystem Co., Ltd. Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.18.4 ZOGLAB Microsystem Co., Ltd. Automatic Weather Station Data Logger Product Offerings
7.18.5 ZOGLAB Microsystem Co., Ltd. Recent Developments
7.19 Hunan Rika Electronic Tech Co., Ltd.
7.19.1 Hunan Rika Electronic Tech Co., Ltd. Company Information
7.19.2 Hunan Rika Electronic Tech Co., Ltd. Introduction and Business Overview
7.19.3 Hunan Rika Electronic Tech Co., Ltd. Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.19.4 Hunan Rika Electronic Tech Co., Ltd. Automatic Weather Station Data Logger Product Offerings
7.19.5 Hunan Rika Electronic Tech Co., Ltd. Recent Developments
7.20 ANEOS Corporation
7.20.1 ANEOS Corporation Company Information
7.20.2 ANEOS Corporation Introduction and Business Overview
7.20.3 ANEOS Corporation Automatic Weather Station Data Logger Sales, Revenue, Price and Gross Margin (2021–2026)
7.20.4 ANEOS Corporation Automatic Weather Station Data Logger Product Offerings
7.20.5 ANEOS Corporation Recent Developments
8 Industry Chain Analysis
8.1 Automatic Weather Station Data Logger Industrial Chain
8.2 Automatic Weather Station Data Logger Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Key Suppliers of Raw Materials
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customer Analysis)
8.5 Sales Model and Sales Channelss
8.5.1 Automatic Weather Station Data Logger Sales Model
8.5.2 Sales Channels
8.5.3 Automatic Weather Station Data Logger Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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The global Automatic Weather Station Data Logger market size was US$ 284 million in 2025 and is forecast to reach a readjusted size of US$ 407 million by 2032 with a CAGR of 5.4% during the forecast period 2026-2032.
Published Date: 2026-07-29
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The global Automatic Weather Station Data Logger market was valued at US$ 284 million in 2025 and is anticipated to reach US$ 407 million by 2032, at a CAGR of 5.4% from 2026 to 2032.
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The global Automatic Weather Station Data Logger market is projected to grow from US$ 284 million in 2025 to US$ 407 million by 2032, at a CAGR of 5.4% (2026-2032), driven by critical product segments and diverse end‑use applications.
Published Date: 2026-07-29
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The global Automatic Weather Station Data Logger market size was US$ 284 million in 2025 and is forecast to reach a readjusted size of US$ 407 million by 2032 with a CAGR of 5.4% during the forecast period 2026-2032.
Published: 2026-07-29
Pages: 152
The global Automatic Weather Station Data Logger market was valued at US$ 284 million in 2025 and is anticipated to reach US$ 407 million by 2032, at a CAGR of 5.4% from 2026 to 2032.
Published: 2026-07-29
Pages: 148
The global Automatic Weather Station Data Logger market is projected to grow from US$ 284 million in 2025 to US$ 407 million by 2032, at a CAGR of 5.4% (2026-2032), driven by critical product segments and diverse end‑use applications.
Published: 2026-07-29
Pages: 173
REPORT COVERAGE
DESCRIPTION
KEY FINDINGS
OVERVIEW
MARKET TRENDS
MARKET SEGMENTATION
MARKET DYNAMICS
INDUSTRY CHAIN ANALYSIS
SEGMENT INSIGHTS
DOWNSTREAM MARKET OPPORTUNITIES
REGIONAL INSIGHTS
COMPETITIVE LANDSCAPE ANALYSIS
REPORT SCOPE
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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