Top Data Acquisition System Companies

Data Acquisition System Market size was valued at USD 2.18 Billion in 2024 and is poised to grow from USD 2.3 Billion in 2025 to USD 3.55 Billion by 2033, at a CAGR of 5.6% over the forecast period (2026–2033).

The Data Acquisition System market is highly fragmented and the market players are trying to capture for leading positions in a domestic and regional market across the globe. Notably, our research proves that the international Data Acquisition System market is held by big manufacturers, including ADIDAS AG, Triumph International AG, Nike Inc., Data Acquisition System Anywhere Inc., La Perla Group. Being one of Germany's feeling torchbearers, ADIDAS AG has been popular among the people with its high-tech sportswear and data acquisition system for style. With the proper understanding of sport science knowledge, the firm tries to meet diverse needs of both amateur and professional swimmers by developing the strong and functional data acquisition system. Triumph International AG, based in Switzerland, produces Data Acquisition System and lingerie products that are the epitome of comfort, quality, and aesthetics, while at the same time acknowledging and meeting the specific needs of consumers in various regions. Nike Inc, another American Multinational Corp, is an industry market in the sportswear industry for having Data Acquisition System products. For increased athletic performance, this advance fabric technology should be made in the market related to cosmetics as well. Following the evolution in fabric technology advancements and fads in fashion design, they influence the market even more for this industry of a Data Acquisition System to remain vigorous and competitive all over the global market. 'ABB Group (Switzerland)', 'Emerson Electric Co. (US)', 'Fortive Corporation (US)', 'General Electric (GE) Company (US)', 'Spectris PLC (HBK) (UK)', 'Keysight Technologies (US)', 'THE MATHWORK INC.', 'Rockwell Automation Inc. (US)', 'Schneider Electric SE (France)', 'Siemens AG (Germany)', 'Yokogawa Electric Company (Japan)', 'Dewesoft (Slovenia)', 'Dewetron (Austria)', 'ADLINK Technology (Taiwan)', 'Hioki (Japan)', 'Teledyne Technologies (US)', 'AstroNova (US)', 'Campbell Scientific (US)', 'Curtiss-Wright (US)'

Enhanced concentration in monitoring data in a variety of end-user segments is a major driver of the heightened demand for Data Acquisition Systems (DAS) within segments that have high Operations, Real-time decision making, and Predictive maintenance needs. Despite having the record wind capacity of 30.2GW in Texas, wind energy generation outcompeted the next three leading states of Iowa, Oklahoma, and Kansas combined. Iowa and Kansas were the leading wind electricity generating states surpassing the generation of electricity using coal in 2019 as observed above. The increasing utilization of wind power and other renewable energy sources are designed to correspond to the need for monitoring data. Systems (DAS), particularly in industries where operational efficiency, real-time decision-making, and predictive maintenance are critical. In states like Texas, which had the highest wind capacity at 30.2 GW, wind energy generated more electricity than the next three leading states— Iowa, Oklahoma, and Kansas—combined. In Iowa and Kansas, wind energy became the dominant source of electricity generation, overtaking coal in 2019.

Integration of AI and Machine Learning in DAQ Software: The Global Data Acquisition System Market is enabled by the introduction of AI and ML in DAQ software, as this helps the system to increase efficiency in operations, predictive maintenance, and sustainability. AI algorithms in DAQ systems help in the real-time analysis of large volumes of data; hence, predictive analytics can forecast equipment failure earlier before it occurs. This reduces unplanned downtime by up to 30%, thereby increasing productivity. Further, AI also ensures a saving on energy usage through 15-20% due to reduced unnecessary expenditures and aids sustainability efforts towards environment. Further ML techniques that applied in DAQ systems will improve system performance since they continue to learn; that means with this approach, accurate data is realized over time together with appropriate interpretations. Nevertheless, implementing AI-based DAQ systems may require initial hefty investments besides skills of people dealing with or deciphering the implications of AI-derived data. Despite these challenges, the market is expected to boom as AI integration is becoming a transforming force in industrial automation.

In 2024 it has contributed USD 728.1 Million and it will however sustain to dominate the market over the projected period of 2022-2032 with the estimated Market size of USD 1,180.85 Million and projected CAGR 7.2%. This growth can be mainly due to several factors that are currently influencing the demand in various industries. The market is experiencing growth due to the fast-growing industrialization in the region, rising automotive industry, and growing interest in smart structures.