Data Acquisition System Market Size & Share 2024 - 2032
Market Size by Component (Hardware, Software), by Speed (High Speed (>100 KS/S), Low Speed (<100 KS/S)), by Application (Research & Development, Field, Manufacturing), by Vertical & Forecast.
Report ID: GMI9302
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Published Date: April 2024
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Report Format: PDF
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Authors:
Suraj Gujar, Sandeep Ugale
Data Acquisition System Market Size
Data Acquisition System Market was valued at around USD 2 billion in 2023 and is estimated to register a CAGR of over 5% between 2024 and 2032.
Data Acquisition System Market Key Takeaways
Market Size & Growth
Key Market Drivers
Challenges
A significant driver for the data acquisition (DAQ) system market is the increasing adoption of Internet of Things (IoT) devices and sensors across industries. As IoT deployments continue to grow, there is a rising need for DAQ systems to collect, process, and analyze data from diverse sources in real time. DAQ systems enable organizations to monitor and manage IoT-generated data efficiently, leading to improved decision-making, operational efficiency, and innovation across various sectors such as manufacturing, healthcare, transportation, and energy. Advancements in sensor technology, connectivity, and data analytics are further fueling the demand for DAQ systems, as organizations seek to leverage data-driven insights to gain a competitive edge and address evolving business challenges.
Cutting-edge electronic technologies lead to inexpensive sensing and monitoring capabilities. For instance, Arduino, an open-source hardware project has been used, along with low-cost sensors, to develop several inexpensive, automated sensing and data logging systems for research purposes. This is suggestive of potential yet increased open-source DAQ software investment for developing an advanced system in the future. In April 2021, Piano, the global customer experience platform, formed a partnership with ID5, InfoSum, LiveRamp, and Usercentrics to extend its First party DAQ solution, that integrates its data management, identity, and customer journey orchestration capabilities and provides one system and one view that collects, unifies, and activates user data across the entire digital ecosystem, preventing data leakage and poor ad performance while improving customer experience.
Compatibility issues with legacy systems arise when integrating modern DAQ systems with existing infrastructure that may use outdated hardware, software, or communication protocols. This mismatch can lead to interoperability challenges, data loss, and reduced system performance. Legacy systems may lack support for newer DAQ technologies or standards, making it difficult to seamlessly integrate them into the existing environment. Additionally, legacy systems may have limited scalability and flexibility, hindering their ability to adapt to evolving business requirements and technological advancements. Addressing compatibility issues requires careful planning, testing, and the potential implementation of intermediary solutions or middleware to facilitate communication between legacy and modern systems. Organizations may also need to invest in upgrading or replacing outdated components to ensure smooth integration and maximize the benefits of modern DAQ systems.
Data Acquisition System Market Trends
As edge computing becomes more prevalent, DAQ systems are being increasingly integrated with edge devices. This allows for real-time data acquisition, processing, and analysis closer to the source of data generation, reducing latency and bandwidth requirements. Edge-enabled DAQ systems enable faster decision-making and improved responsiveness in applications such as industrial automation, smart infrastructure, and IoT deployments.
There is an increasing adoption of wireless and IoT-enabled DAQ systems, influenced by the need for flexibility, mobility, and scalability in data acquisition applications. Wireless DAQ solutions eliminate the need for cumbersome cabling, enabling easier deployment and installation in remote or hard-to-reach locations. Additionally, IoT-enabled DAQ systems leverage connectivity and sensor technologies to enable seamless integration with existing IoT ecosystems, enabling organizations to leverage data from diverse sources for enhanced insights and decision-making.
Data Acquisition System Market Analysis
Based on component, the market is divided into hardware and software. The software segment is expected to register a CAGR of over 6% during the forecast period.
Based on application the market is divided into research & development, field, manufacturing. The research & development (R&D) segment dominated the global market with a share of over 44% in 2023.
North America dominated the global data acquisition system market in 2023, accounting for a share of over 33%. The regional market is thriving across various industries including automotive, aerospace, healthcare, manufacturing, and research institutions. This growth is propelled by continuous technological advancements driven by significant R&D investments. These investments fuel innovations in DAQ hardware, software, and sensor technologies, resulting in the development of more accurate, reliable, and efficient DAQ systems. Additionally, the adoption of Industry 4.0 principles, such as automation, connectivity, and data-driven decision-making, further boosts the demand for DAQ systems in North America. These systems play a crucial role in collecting, processing, and analyzing data from diverse sources, enabling organizations to improve operational efficiency, enhance product quality, and drive innovation. With its strong emphasis on innovation and technology, North America remains a key region driving the growth of the market.
Data Acquisition System Market Share
Major players operating in the industry are:
Yokogawa Electric Corporation offers a comprehensive range of DAQ systems tailored for various industries such as process automation, test & measurement, and research. Its solutions offer high precision, reliability, and scalability, making them suitable for critical applications in sectors including energy, chemicals, and manufacturing. Teledyne Technologies Incorporated specializes in advanced instrumentation and digital imaging products including DAQ systems. Its offerings feature cutting-edge technology, high-performance capabilities, and seamless integration with other instrumentation and software platforms. Teledyne's DAQ solutions cater to diverse applications in the aerospace, defense, automotive, and marine industries.
Some major players in the market are National Instruments Corporation, Keysight Technologies, Yokogawa Electric Corporation, Teledyne Technologies Incorporated, Advantech Co., Ltd., HBM Test and Measurement, and Data Translation, Inc. They apply strategies such as product innovations, mergers, and acquisitions. Also, companies are involved in several growth & expansion strategies to gain a competitive advantage in the market.
Data Acquisition System Industry News
The Data Acquisition (DAQ) system market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue (USD Billion) from 2021 to 2032, for the following segments:
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Market, By Component
Market, By Speed
Market, By Application
Market, By Vertical
The above information is provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
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Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →