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Automatic Identification And Data Capture Market Size 2024-2028

The automatic identification and data capture market size is valued to increase by USD 21.52 billion, at a CAGR of 8.1% from 2023 to 2028. Increasing applications of RFID will drive the automatic identification and data capture market.

Market Insights

North America dominated the market and accounted for a 47% growth during the 2024-2028.
By Product - RFID products segment was valued at USD 18.41 billion in 2022
By segment2 - segment2_1 segment accounted for the largest market revenue share in 2022

Market Size & Forecast

Market Opportunities: USD 79.34 million 
Market Future Opportunities 2023: USD 21520.40 million
CAGR from 2023 to 2028 : 8.1%

Market Summary

The Automatic Identification and Data Capture (AIDC) market encompasses technologies and solutions that enable businesses to capture and process data in real time. This market is driven by the increasing adoption of RFID technology, which offers benefits such as improved supply chain visibility, inventory management, and operational efficiency. The growing popularity of smart factories, where automation and data-driven processes are integral, further fuels the demand for AIDC solutions. However, the market also faces challenges, including security concerns. With the increasing use of AIDC technologies, there is a growing need to ensure data privacy and security. This has led to the development of advanced encryption techniques and access control mechanisms to mitigate potential risks. A real-world business scenario illustrating the importance of AIDC is in the retail industry. Retailers use AIDC technologies such as RFID tags and barcode scanners to manage inventory levels, track stock movements, and optimize supply chain operations. By automating data capture processes, retailers can reduce manual errors, improve order fulfillment accuracy, and enhance the overall customer experience. Despite the challenges, the AIDC market continues to grow, driven by the need for real-time data processing and automation across various industries.

What will be the size of the Automatic Identification And Data Capture Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free SampleThe Automatic Identification and Data Capture (AIDC) market continues to evolve, driven by advancements in technology and increasing business demands. AIDC solutions, including barcode scanners, RFID systems, and OCR technology, enable organizations to streamline processes, enhance data accuracy, and improve operational efficiency. According to recent research, the use of RFID technology in the retail sector has surged by 25% over the past five years, underpinning its significance in inventory management and supply chain optimization. Moreover, the integration of AIDC technologies with cloud computing services and data visualization dashboards offers real-time data access and analysis, empowering businesses to make informed decisions. For instance, a manufacturing firm can leverage RFID data to monitor production lines, optimize workflows, and ensure compliance with industry regulations. AIDC systems are also instrumental in enhancing data security and privacy, with advanced encryption protocols and access control features ensuring data integrity and confidentiality. By adopting AIDC technologies, organizations can not only improve their operational efficiency but also gain a competitive edge in their respective industries.

Unpacking the Automatic Identification And Data Capture Market Landscape

The market encompasses technologies such as RFID tag identification, data stream management, and data mining techniques. These solutions enable businesses to efficiently process and analyze vast amounts of data from various sources, leading to significant improvements in data quality metrics and workflow optimization strategies. For instance, RFID implementation can result in a 30% increase in inventory accuracy, while data mining techniques can uncover hidden patterns and trends, driving ROI improvement and compliance alignment. Real-time data processing, facilitated by technologies like document understanding AI and image recognition algorithms, ensures swift decision-making and error reduction. Data capture pipelines and database management systems provide a solid foundation for data aggregation and analysis, while semantic web technologies and natural language processing enhance information retrieval and understanding. By integrating sensor data and applying machine vision systems, businesses can achieve high-throughput imaging and object detection, further enhancing their data processing capabilities.

Key Market Drivers Fueling Growth

The significant expansion of RFID (Radio-Frequency Identification) technology applications is the primary market growth catalyst. In the dyna

Provides the specification and implementation guidance for achieving accurate Automatic Identification and Data Capture (AIDC) using GS1 international code numbering standards.

According to a 2020 survey, internet users in the United Kingdom (UK) had the same level of distrust (** percent) towards both social media companies and advertisers when it came to customer data collection. There was a slightly lower level of distrust when it came to search engines, at ** percent.

Healthcare Associated Infections (HCAI) Legacy Data Capture System

Defines how to encode NHS approved patient identifiers into a two-dimensional barcode.

According to a survey on current attitudes towards online personal data use, carried out in the United Kingdom (UK), just **** percent of respondents said they were not at all worried about their personal data being collected and used. The majority of respondents were at least a little worried.

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Automatic Data Capture (ADC) Market Size 2024-2028

The automatic data capture (adc) market size is valued to increase by USD 48.69 billion, at a CAGR of 13.64% from 2023 to 2028. Increasing application of RFID will drive the automatic data capture (adc) market.

Market Insights

APAC dominated the market and accounted for a 43% growth during the 2024-2028.
By Product - RFID segment was valued at USD 23.12 billion in 2022
By Application - Industrial segment accounted for the largest market revenue share in 2022

Market Size & Forecast

Market Opportunities: USD 154.06 million 
Market Future Opportunities 2023: USD 48685.50 million
CAGR from 2023 to 2028 : 13.64%

Market Summary

The market encompasses technologies and solutions that enable the automatic collection, processing, and transmission of data from various sources, primarily barcodes, RFID, and biometric systems. This market is driven by the increasing demand for real-time data processing and analysis to optimize business operations, enhance productivity, and ensure regulatory compliance. One significant trend in the ADC market is the growing popularity of smart factories, where ADC technologies play a crucial role in streamlining manufacturing processes and improving overall efficiency. For instance, RFID tags can be used to track inventory levels, monitor equipment performance, and manage work-in-progress in real-time, leading to reduced downtime and improved quality. However, the adoption of ADC technologies also brings about security concerns. With the increasing amount of data being generated and transmitted, there is a growing need to protect sensitive information from unauthorized access and cyber-attacks. This has led to the development of advanced security solutions, such as encryption, access control, and intrusion detection, to safeguard data and maintain privacy. A real-world business scenario illustrating the importance of ADC technologies is in the supply chain optimization of a global retailer. By implementing RFID technology, the retailer can monitor inventory levels in real-time, reducing the need for manual stock checks and minimizing stockouts. Furthermore, RFID tags can be used to track the movement of goods throughout the supply chain, enabling better visibility and control over the entire process, ultimately leading to improved customer satisfaction and operational efficiency.

What will be the size of the Automatic Data Capture (ADC) Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free SampleThe market continues to evolve, driven by advancements in technology and increasing business demands. Parallel processing and distributed computing are key trends transforming the ADC landscape, enabling real-time data capture and analysis. These innovations can significantly impact boardroom-level decisions, such as compliance and budgeting. For instance, data privacy regulations like GDPR and HIPAA mandate strict data handling procedures, making real-time data capture and analysis crucial for companies to ensure compliance. Furthermore, distributed computing can help organizations save on IT infrastructure costs by optimizing resource utilization. According to recent research, companies have achieved a 30% reduction in processing time by implementing parallel processing techniques. Data capture workflows, API integration methods, and data preprocessing steps are essential components of successful ADC implementations. System reliability analysis, algorithm optimization, and data transformation methods are also crucial for ensuring data accuracy and efficiency. By embracing these trends, businesses can streamline their data capture processes, enhance operational efficiency, and make informed decisions based on real-time data insights.

Unpacking the Automatic Data Capture (ADC) Market Landscape

The market encompasses technologies and solutions that facilitate real-time data processing from various sources, including barcode scanning and RFID tagging systems. ADC solutions streamline data acquisition systems, enabling businesses to improve data quality metrics by up to 30% through real-time data validation techniques and data integrity checks. Furthermore, real-time analytics and predictive modeling techniques enhance operational efficiency by up to 25%, ensuring data-driven decision-making and compliance alignment with regulatory standards. Wireless data transmission and cloud data storage enable scalable data architecture and high-volume data handling, while machine learning algorithms and data mining strategies uncover valuable insights from the data stream. Data visualization tools and error correction algorithms further enhance system performance benchmarks, ensuring data security measures remain effective. Pattern recognition systems and anomaly detection methods further bolster data g

Further survey of the Essex Estuaries cSAC: Phase 1 survey on the intertidal mud & sand flats, sublittoral biotope ground-truthing

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Data Entry Outsourcing Services Market Size 2025-2029

The data entry outsourcing services market size is forecast to increase by USD 206.8 million, at a CAGR of 6% between 2024 and 2029.

Major Market Trends & Insights

APAC dominated the market and accounted for a 40% growth during the forecast period.
By the Type - E-commerce products segment was valued at USD 152.00 million in 2023
By the End-user - BFSI segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 73.92 million
Market Future Opportunities: USD 206.80 million 
CAGR : 6%
APAC: Largest market in 2023

Market Summary

The market continues to expand, driven by the increasing need for cost-effective solutions to manage growing data volumes and complexity. According to recent studies, the global data entry outsourcing market is projected to reach a value of USD27.6 billion by 2025, growing at a steady pace. This growth can be attributed to the ongoing automation of data entry processes and the adoption of cloud-based solutions, which enable businesses to outsource data entry tasks more efficiently. This trend is observed across various sectors, including finance, healthcare, retail, and IT, as businesses seek to streamline their operations and reduce operational costs.
Despite this growth, challenges such as data security concerns and the need for high data accuracy persist, making it essential for businesses to partner with reputable and experienced data entry service providers.

What will be the Size of the Data Entry Outsourcing Services Market during the forecast period?

Explore market size, adoption trends, and growth potential for data entry outsourcing services market Request Free Sample

Data entry outsourcing services have become an integral part of business operations, enabling companies to focus on core competencies without compromising data accuracy. According to recent reports, the market for these services currently accounts for over 15% of the global business process outsourcing industry. Looking ahead, growth is anticipated to exceed 10% annually, driven by the increasing demand for cost savings and efficiency gains. A comparison of key performance indicators highlights the significant impact of data entry outsourcing. For instance, companies can achieve up to 99% data entry accuracy, reducing errors and minimizing rework. Furthermore, turnaround times can be cut in half, ensuring swift project completion.
By outsourcing, businesses can also access a flexible workforce, allowing them to scale operations as needed. These improvements translate into substantial cost savings, with some estimates suggesting an average annual savings of 30% or more. This financial advantage, combined with the benefits of enhanced data security and improved quality, makes data entry outsourcing an indispensable solution for businesses seeking to optimize their operations.

How is this Data Entry Outsourcing Services Industry segmented?

The data entry outsourcing services industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  E-commerce products
  Invoices
  Customer orders
  Forms and documents
  Others


End-user

  BFSI
  IT and telecom
  Manufacturing
  Healthcare
  Others


Application

  Large enterprises
  Small and medium-sized enterprises


Customer Type

  Long-term contracts
  Short-term contracts


Geography

  North America

    US
    Mexico


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The e-commerce products segment is estimated to witness significant growth during the forecast period.

Data entry outsourcing services have gained substantial traction in various industries due to the increasing volume and complexity of data. According to recent estimates, the market for data entry services is projected to expand by 15.3% over the next five years, with the business process outsourcing (BPO) sector accounting for a significant share. One of the primary drivers of this growth is the adoption of advanced technologies, such as keystroke monitoring systems and workflow automation tools, which streamline data entry processes and enhance productivity. Furthermore, project management methodologies, data governance frameworks, and risk mitigation plans ensure data accuracy and security, making outsourced data entry services an attractive option for businesses.

Compliance regulations, such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), have also fueled the demand for data entry services.

Understanding Society, (UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex and the survey research organisations Verian Group (formerly Kantar Public) and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991.

This release combines fourteen waves of Understanding Society data with harmonised data from all eighteen waves of the BHPS. As multi-topic studies, the purpose of Understanding Society and BHPS is to understand short- and long-term effects of social and economic change in the UK at the household and individual levels. The study has a strong emphasis on domains of family and social ties, employment, education, financial resources, and health. Understanding Society is an annual survey of each adult member of a nationally representative sample. The same individuals are re-interviewed in each wave approximately 12 months apart. When individuals move they are followed within the UK and anyone joining their households are also interviewed as long as they are living with them. The study has five sample components: the general population sample; a boost sample of ethnic minority group members; an immigrant and ethnic minority boost sample (from wave 6); participants from the BHPS; and a second general population boost sample added at this wave. In addition, there is the Understanding Society Innovation Panel (which is a separate standalone survey (see SN 6849)). The fieldwork period is for 24 months. Data collection uses computer assisted personal interviewing (CAPI) and web interviews (from wave 7), and includes a telephone mop-up. From March 2020 (the end of wave 10 and the 2nd year of wave 11), due to the coronavirus pandemic, face-to-face interviews were suspended, and the survey was conducted by web and telephone only, but otherwise has continued as before. Face-to-face interviewing was resumed from April 2022. One person completes the household questionnaire. Each person aged 16 is invited to complete the individual adult interview and self-completed questionnaire. Parents are asked questions about their children under 10 years old. Youths aged 10 to 15 are asked to respond to a self-completion questionnaire. For the general and BHPS samples biomarker, genetic and epigenetic data are also available. The biomarker data, and summary genetics and epigenetic scores, are available via UKDS (see SN 7251); detailed genetics and epigenetics data are available by application (see below). In 2020-21 an additional frequent web survey was separately issued to sample members to capture data on the rapid changes in people’s lives due to the COVID-19 pandemic (see SN 8644). Participants are asked consent to link their data to wide-ranging administrative data sets (see below).

Further information may be found on the Understanding Society Main stage webpage and links to publications based on the study can be found on the Understanding Society Latest Research webpage.

Co-funders

In addition to the Economic and Social Research Council, co-funders for the study included the Department of Work and Pensions, the Department for Education, the Department for Transport, the Department of Culture, Media and Sport, the Department for Community and Local Government, the Department of Health, the Scottish Government, the Welsh Assembly Government, the Northern Ireland Executive, the Department of Environment and Rural Affairs, and the Food Standards Agency.

End User Licence, Special Licence and Secure Access versions:

There are three versions of the main Understanding Society data with different access conditions. One is available under the standard End User Licence (EUL) agreement (this study), one is a Special Licence (SL) version (SN 6931) and the third is a Secure Access version (SN 6676). The SL version contains month as well as year of birth variables, more detailed country and occupation coding for a number of variables, various income variables that have not been top-coded, and other potentially sensitive variables (see 6931_eul_vs_sl_variable_differences document available with the SL version for full details of the differences). The Secure Access version, in addition to containing all the variables in the SL version, also contains day of birth as well as Grid Reference geographical variables. Users are advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements. The SL and Secure Access versions of the data have more restrictive access conditions and prospective users of those versions should visit the catalogue entries for SN 6931 and SN 6676 respectively for further information.

Low- and Medium-level geographical identifiers are also available subject to SL access conditions; see SNs 6666, 6668-6675, 7453-4, 7629-30, 7245, 7248-9 and 9169-9170. Schools data are available subject to SL access conditions in SN 7182. Higher Education establishments for Wave 5 are available subject to SL access conditions in SN 8578. Interviewer Characteristics data, also subject to SL access conditions is available in SN 8579. In addition, a fine detail geographic dataset (SN 6676) is available under more restrictive Secure Access conditions that contains National Grid postcode grid references (at 1m resolution) for the unit postcode of each household surveyed, derived from ONS Postcode Directories (ONSPD). For details on how to make an application for Secure Access dataset, please see the SN 6676 catalogue record.

How to access genetic and/or bio-medical sample data from Understanding Society:

Information on how to access genetics and epigenetics data directly from the study team is available on the Understanding Society Accessing data webpage.

Linked administrative data

Linked Understanding Society / administrative data are available on a number of different platforms. See the Understanding Society Data linkage webpage for details of those currently available and how they can be accessed.

Latest edition information

For the 19th edition (November 2024) Wave 14 data has been added. Other minor changes and corrections have also been made to Waves 1-13. Please refer to the revisions document for full details.

m_hhresp and n_hhresp files updated, December 2024

In the previous release (19th edition, November 2024), there was an issue with household income estimates in m_hhresp and n_hhresp where a household resides in a new local authority (approx. 300 households in wave 14). The issue has been corrected and imputation models re-estimated and imputed values updated for the full sample. Imputed values will therefore change compared to the versions in the original release. The variable affected is n_ctband_dv.

Suitable data analysis software

These data are provided by the depositor in Stata format. Users are strongly advised to analyse them in Stata. Transfer to other formats may result in unforeseen issues. Stata SE or MP software is needed to analyse the larger files, which contain over 2,047 variables.

According to a survey carried out in August 2020 in the United Kingdom (UK), ** percent of marketing companies collected customer data through their website. Half did so through social media, while a slightly smaller share said they recorded customer data at organized events. Collection via purchase lists and preference centres were the least used methods.

We are the top supplier of GDPR and PECR compliant B2B data in the UK. We maintain our market-leading position thanks to our meticulous gathering and upkeep of business and individual contact information.

We are unique in the industry because we are the only organisation using industry leading technology and advanced AI techniques to drive our data capture and a call centre to verify all our UK B2B data to ensure completeness, accuracy, and GDPR/PECR compliance.

Built over the last 50 years specifically for marketing purposes, our dataset has evolved over time now incorporating sources from directory partners, open data, telecom providers, Companies House, PAF, credit reference agencies and other data partners.

This dataset contains Axivity AX3 wrist-worn activity tracker data that were collected from 151 participants in 2014-2016 around the Oxfordshire area. Participants were asked to wear the device in daily living for a period of roughly 24 hours, amounting to a total of almost 4,000 hours. Vicon Autograph wearable cameras and Whitehall II sleep diaries were used to obtain the ground truth activities performed during the period (e.g. sitting watching TV, walking the dog, washing dishes, sleeping), resulting in more than 2,500 hours of labelled data. Accompanying code to analyse this data is available at https://github.com/activityMonitoring/capture24. The following papers describe the data collection protocol in full: i.) Gershuny J, Harms T, Doherty A, Thomas E, Milton K, Kelly P, Foster C (2020) Testing self-report time-use diaries against objective instruments in real time. Sociological Methodology doi: 10.1177/0081175019884591; ii.) Willetts M, Hollowell S, Aslett L, Holmes C, Doherty A. (2018) Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants. Scientific Reports. 8(1):7961. Regarding Data Protection, the Clinical Data Set will not include any direct subject identifiers. However, it is possible that the Data Set may contain certain information that could be used in combination with other information to identify a specific individual, such as a combination of activities specific to that individual ("Personal Data"). Accordingly, in the conduct of the Analysis, users will comply with all applicable laws and regulations relating to information privacy. Further, the user agrees to preserve the confidentiality of, and not attempt to identify, individuals in the Data Set.

Abstract copyright UK Data Service and data collection copyright owner.

The UK Business Data Survey (UKBDS), commissioned by the Department for Digital, Culture, Media and Sport, began in 2021. The survey is a telephone- and online-based quantitative and qualitative study of UK businesses. It gathers evidence on the importance and awareness of digital data use for UK businesses and seeks to understand the role of digital data in UK businesses, international transfers of data and activities undertaken for data protection compliance.

The 2022 UKBDS was the second time the survey had been carried out. The quantitative survey took place from November 2021 to February 2022 and the qualitative interviews were undertaken in February 2022. A number of questions asked of businesses were new to the 2022 survey.

The 2022 survey covers the following business practices relating to data:

• acquisition and sharing
• skills and foundations (as defined in the National Data Strategy)
• infrastructure
• data protection
• international transfer

A February 2023 survey in the United Kingdom (UK) found that around four in ten respondents became more aware of their personal data collection after seeing ads tracking them online. Another 31 percent said they developed a better understanding of the matter after significant data breaches. Stories from friends and family impressed about 30 percent of the respondents and motivated them to become more aware of how companies handle their data.

Provider level information on the number and proportion of admitted adult patients who have been risk assessed for Venous thromboembolism (VTE) Source agency: Health Designation: Official Statistics not designated as National Statistics Language: English Alternative title: VTE Risk Assessment Data Collection