The Impact of the Top 3 Strategic Imperatives

Competitive Intensity 

Why:

The data acquisition (DAQ) market comprises several players, with a distributed market share. The sector has no especially prominent players, with the top 4 companies accounting for a 39.8% market share.

The sector has no especially prominent players, with the top 4 companies accounting for a 39.8% market share.

Frost Perspective:

 With several companies offering a wide variety of DAQ systems, companies must continuously update their product features to stay ahead of competitors.

M&As or partnerships/collaborations are likely because of the number of market participants.

Internal Challenges

Why:
Technology is evolving rapidly, and to keep up with trends, DAQ system infrastructure requires constant modernization and must be adaptive.

Establishing a dedicated team with specialized skills is essential to manage DAQ effectively. Proper integration of data is crucial to achieve successful data analysis.

Proper integration of data is crucial to achieve successful data analysis.

Frost Perspective:

Companies must frequently upgrade information technology, network, storage, and processing infrastructure to keep up with technological advancements.

They must develop their teams by providing training and include training costs in their budgets. Businesses must consider outsourcing options where specialized skills are not available in-house.

Firms must invest in smart, automated data integration tools for a unified and single data view.

Industry Convergence

Why:
Proper data collection is essential across various industries.

The acquired information helps to increase productivity, monitor machine health, and ensure operational safety.

However, it is necessary to convert the billions of collected data points into meaningful insights, which requires data analytics software tools.

Frost Perspective:

Partnerships between DAQ and analytics companies would empower customers to capture, analyze, and leverage vital data to make real-time decisions.

By providing more intelligence from test data, Big Data analytics software tools can help engineers shorten product test cycles.

Businesses can use the analyzed data to recognize trends/patterns, spot opportunities, and address challenges.

scope of analysis

• A DAQ system includes DAQ products for all standards, including Peripheral Component Interconnect (PCI)/PCI Express, Virtual Machine Environment Extensions for Instrumentation (or VXI), standalone/proprietary, PCI Extensions for Instrumentation (PXI)/PXI Express (PXIe), universal serial bus (USB), and Ethernet/Local Area Network Extensions for Instrumentation (or LXI) that enable measuring signals such as temperature, voltage, sound, vibration, and strain. The study does not include third-party/standalone software or services.

Segmentation by End-user Sector:

• Aerospace and defense (A&D)
• Automotive
• Energy
• Academics
• Semiconductor (semicon)
• Commercial electronics
• Others (such as maritime, industrial, civil, and metals and mining)

Segmentation by Region:

• North America (NA): United States and Canada
• Europe: Western, Central, and Eastern Europe and Russia
• Asia-Pacific (APAC): Countries on the western border of the Pacific Ocean (including those on the Indochinese Peninsula), Pacific islands, and Central Asia
• Middle East and Africa (MEA): The Middle East (Bahrain, Egypt, Iran, Iraq, Israel, Turkey, Saudi Arabia, the United Arab Emirates, Palestine, Kuwait, Oman, and Lebanon) and Africa (South Africa, West Africa, and Sub-Saharan Africa)
• Latin America (LATAM): Mexico and South America

Competitive Environment