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Global Data Converter Market to reach USD 8.6 billion by the end of 2030

Global Data Converter Market Size study & Forecast, by Type (Digital-to-Analog Converters, Analog-to-Digital Converters), By Sampling Rate (General-Purpose, High-Speed), By End User (Medical, Test and Measurement) and Regional Analysis, 2023-2030

Product Code: ICTICTS-36075545
Publish Date: 20-07-2023
Page: 200

Global Data Converter Market is valued approximately at USD 5.28 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 6.33 % over the forecast period 2023-2030. A data converter is a device or software that converts data from one format to another, enabling compatibility between different systems or components. It facilitates the transformation of data from one representation to another for efficient processing or communication. The Data Converter market is expanding because of factors such as, rising adoption of Internet of things IoT and rising number of electronic health records. Moreover, increasing adoption of IoT devices led to increase in the demand for data converters which enable efficient data conversion and communication between IoT devices and systems.

According to the Statista in 2022, the number of Internet of Things devices globally is expected to nearly triple from USD9.7 billion in 2020 to over USD29 billion by 2030. By 2030, China is projected to account the largest number of IoT devices, with around 5 billion devices used by consumers. The rising adoption of electronic health records has increased the demand for data converters. These converters are essential for healthcare organizations to effectively manage and integrate various data formats into standardized electronic records. According to Statista, the global electronic health records market was valued at around USD 29 billion in 2020. Projections indicate that by 2027, the market is expected to surpass USD 47 billion. In addition, technological advancements in data converters and increasing number of data centers would create a lucrative growth opportunity. However, the lack of knowledge about using the smart devices and high cost of Data Converter stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Data Converter Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market during the forecast period with largest market share owing to presence of technology companies, as well as, increasing advancements in sectors such as automotive, healthcare, and telecommunications and a growing adoption of IoT and smart devices in the region. Asia Pacific is expected to be the fastest growing region during the forecast period, owing to factors such as, rising in electronics industry, expanding manufacturing sector and increasing investments in infrastructure and telecommunications contribute to the demand for data converters in the region.

Major market player included in this report are:
Analog Devices, Inc.
Microchip Technology Inc.
STMicroelectronics N.V.
NXP Semiconductors N.V.
Texas Instruments Incorporated
Faraday Technology Corporation,
Asahi Kasei Microdevices,
ON Semiconductor Corporation
Rohm Co., Ltd.
Skyworks Solutions, Inc.
Recent Developments in the Market:
Ø In 2022, In January 2023, ON Semiconductor Corporation partnered with Ampt LLC, the leading company in DC optimizers for large-scale PV solar and energy storage systems. This collaboration will enable ON Semiconductor Corporation to meet the growing demand for DC string optimizers.

Ø In March 2022, ROHM introduced the BD34352EKV D/A converter IC DAC chip and the BD34352EKV-EVK-001 evaluation board to support the reproduction of high-resolution audio sources in high-quality audio devices. The audio DAC chip is a crucial component in audio equipment, responsible for effectively extracting and converting high-resolution digital audio data into analogue audio signals, thereby influencing the overall audio quality.

Global Data Converter Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Type, Sampling Rate, End-User, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:
Digital-to-Analog Converters
Analog-to-Digital Converters

By Sampling Rate:
General-Purpose
High-Speed

By End-User:
Medical
Test and Measurement

By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Data Converter Market, by region, 2020-2030 (USD Billion)
1.2.2. Data Converter Market, by Type, 2020-2030 (USD Billion)
1.2.3. Data Converter Market, by Sampling Rate, 2020-2030 (USD Billion)
1.2.4. Data Converter Market, by End-User, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Data Converter Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Data Converter Market Dynamics
3.1. Data Converter Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Rising adoption of Internet of things IoT
3.1.1.2. Rising number of electronic health records
3.1.2. Market Challenges
3.1.2.1. Lack of knowledge about using the smart devices
3.1.2.2. High cost of Data Converter
3.1.3. Market Opportunities
3.1.3.1. Technological advancements in data converters
3.1.3.2. Increasing number of data centers
Chapter 4. Global Data Converter Market: Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economic
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Data Converter Market, by Type
5.1. Market Snapshot
5.2. Global Data Converter Market by Type, Performance – Potential Analysis
5.3. Global Data Converter Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
5.4. Data Converter Market, Sub Segment Analysis
5.4.1. Digital-to-Analog Converters
5.4.2. Analog-to-Digital Converters
Chapter 6. Global Data Converter Market, by Sampling Rate
6.1. Market Snapshot
6.2. Global Data Converter Market by Sampling Rate, Performance – Potential Analysis
6.3. Global Data Converter Market Estimates & Forecasts by Sampling Rate 2020-2030 (USD Billion)
6.4. Data Converter Market, Sub Segment Analysis
6.4.1. General-Purpose
6.4.2. High-Speed
Chapter 7. Global Data Converter Market, by End-User
7.1. Market Snapshot
7.2. Global Data Converter Market by End-User, Performance – Potential Analysis
7.3. Global Data Converter Market Estimates & Forecasts by End-User 2020-2030 (USD Billion)
7.4. Data Converter Market, Sub Segment Analysis
7.4.1. Medical
7.4.2. Test and Measurement
Chapter 8. Global Data Converter Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Data Converter Market, Regional Market Snapshot
8.4. North America Data Converter Market
8.4.1. U.S. Data Converter Market
8.4.1.1. Type breakdown estimates & forecasts, 2020-2030
8.4.1.2. Sampling Rate breakdown estimates & forecasts, 2020-2030
8.4.1.3. End-User breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Data Converter Market
8.5. Europe Data Converter Market Snapshot
8.5.1. U.K. Data Converter Market
8.5.2. Germany Data Converter Market
8.5.3. France Data Converter Market
8.5.4. Spain Data Converter Market
8.5.5. Italy Data Converter Market
8.5.6. Rest of Europe Data Converter Market
8.6. Asia-Pacific Data Converter Market Snapshot
8.6.1. China Data Converter Market
8.6.2. India Data Converter Market
8.6.3. Japan Data Converter Market
8.6.4. Australia Data Converter Market
8.6.5. South Korea Data Converter Market
8.6.6. Rest of Asia Pacific Data Converter Market
8.7. Latin America Data Converter Market Snapshot
8.7.1. Brazil Data Converter Market
8.7.2. Mexico Data Converter Market
8.8. Middle East & Africa Data Converter Market
8.8.1. Saudi Arabia Data Converter Market
8.8.2. South Africa Data Converter Market
8.8.3. Rest of Middle East & Africa Data Converter Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Analog Devices, Inc.
9.3.1.1. Key Information
9.3.1.2. Overview
9.3.1.3. Financial (Subject to Data Availability)
9.3.1.4. Product Summary
9.3.1.5. Recent Developments
9.3.2. Microchip Technology Inc.
9.3.3. STMicroelectronics N.V.
9.3.4. NXP Semiconductors N.V.
9.3.5. Texas Instruments Incorporated
9.3.6. Faraday Technology Corporation,
9.3.7. Asahi Kasei Microdevices,
9.3.8. ON Semiconductor Corporation
9.3.9. Rohm Co., Ltd.
9.3.10. Skyworks Solutions, Inc.
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

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Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
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Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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