Automatic Data Capture Market Growth, Size & Analysis by 2025

Automatic Data Capture Market to 2025 - Global Analysis and Forecasts by Technology (OCR, BCR, RFID and Others), and Components (Hardware, Software and Services); End-users (Manufacturing, Retail, Transportation & Logistics, Education & IT, Healthcare, and Others)

  • Report Code : TIPTE100000973
  • Category : Electronics and Semiconductor
  • Status : Published
  • No. of Pages : 170
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The automatic data capture market was valued at US$ 13.84 billion in 2017 and is projected to reach US$ 22.02 billion by 2025; it is expected to grow at a CAGR of 6.0% during 2018–2025.

Automatic Data Capture market operates in a highly-fragmented and competitive marketplace. As leading companies in this market continues to broaden its addressable market, by expanding its current product portfolio, diversifying its client base, and developing new applications and markets, all the prominent players faces an increasing level of competition, both from start-ups as well the leading global technology and industrial companies in the world. Merger & acquisition is one of the noteworthy market trend to grow and survive in this market, with some of the major companies became leader in this market by pursuing an acquisition strategy. Some of the major such merger and acquisition in past few years is Zebra Technologies acquisition of the Enterprise business of Motorola Solutions. Also, TSC AutoID Technology in 2015 acquired the thermal printing business of Printronix, a thermal label printer provider. Various companies in the value chain are acquiring other players in the market to maintain their position in market and to increase their distribution channel in untapped industry and region.

A significant reduction in time and improvement in accuracy as compared to manual entry can be achieved with the implementation automatic data capture technology. ADC replacement to manual processes has shown incredible benefits in improving process time and increasing inventory accuracy and further cat as initial step towards mobilizing the supply chain. Also, the growing trend of consumer centric product design, and its adoption, is pushing the mobile and handheld devices over bulky, expensive and fixed devices. Advances in mobile devices allow software-based scanners to meet, and many a times surpass, the performance of dedicated devices. The automatic data capture market is further flourishing due to the growing digitalization and e-commerce. Introduction of IoT and Industry 4.0 in this industry is expected to create new opportunities for the global automatic data capture market during the forecasted period.

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Automatic Data Capture Market: Strategic Insights

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Market Size Value inUS$ 13.84 Billion in 2017
Market Size Value byUS$ 22.02 Billion by 2025
Growth rateCAGR of 6.0% from 2018-2025
Forecast Period2018-2025
Base Year2018
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Market Insights–Automatic Data Capture Market

Need For a Cost Effective and Error-Free Solution for Data Entry Purposes

In the era of automation, programmed machineries play a vital role in reducing cost and time taken to produce goods or to cater services. The users of applications are enabled to have more control over the sensitive data with features like 24/7 monitoring and security. The biggest advantage of deploying programmed tools such as Automatic Data Capture instruments for organizations is the reduction in the amount of human intervention required. Lesser human intervention leads to lesser errors by any system. The uniformity of results obtained when employed a programmed process gives better opportunity for an organization to achieve higher efficiency as compared to human interactions as such instances. In addition, handling organization data using a software service proves cheaper, efficient and secure than appointing personnel to maintain it. Increasing volume of data will lead to more complexities in storing, maintain and other data operations. These tools can thus be ideally the best technique to reduce complexity in data operation.

In today’s world, data generated or processed for various purposes is exploding and manual entries of such huge amounts of data into the computer system could prove time inefficient and in effective with too many human errors. Rather an intelligent tool, that can on its own capture the required data from the product and store it in the computer in the digital form would prove faster, error-free and time-efficient for the end-user majorly in document processing applications. Thus, this need act as driving factor for the growth of this market.

Technology-Based Market Insights

In the most prominent usage of automatic data capture tools and products, these products are used largely without any manual interferences. Data is captured from the objects that are passed through these ADC products. This information inside an object is called as identification data. The data in the object may be possessed in different forms such as images, finger-prints, voices or texts. A transducer is then used to convert this data into a digital form. Structured, semi-structured and unstructured are the various forms of data available in the objects that need to be processed and stored by the ADC products. Different technologies are used for identification of data from these sources. The most prominent technologies used in data identification and capture include Optical Character Recognition (OCR), Bar Codes Recognition (BCR), RFID and others.

Component- Based Segment Insights

Rapid digitization has enabled a paradigm shift in the way documents were processed earlier and are being processed today. For processing transactions information needs to be captured using various electronic devices and entered into software applications such as ERP, CRM, electronic medical records, HRM, billing systems, financial management systems and many other data based software. These document or data capture systems are powered by high advancements in semiconductor technology and consumer electronics. Further, for the smooth running of operations, the automatic data capture tools require various type of services. Hence, the automatic data capture market has been segmented on the basis of components into hardware, software and services.

End Users-Based Market Insights

Manufacturing companies, retailers, logistic service providers, distributors and transportation companies must be constantly aware of the supply chain, observing the performance of suppliers, trading and transportation partners, delivery times, increasing and changing demand, global competition, inventory and customer service. End-users carry out their activities efficiently and effectively with the help of automatic data capture tools. Solution providers for automatic data capture tools cater their products to a broad range of end-users serving as per the demand of their customers. These End-users are categorized into Manufacturing, Retail, Transportation and Logistics, Education & IT, Healthcare, and others.

The market players focus on new product innovations and developments by integrating advanced technologies and features in their products to compete with the competitors.

  • In March2018, TSC showcased printer models at LogiMAT.
  • In January 2018, SATO has entered into partnership with UNTUCKit to improve inventory management through RFID.
  • In January 2018,           SATO has entered into partnership with UNTUCKit to improve inventory management through RFID.
  • In December 2017, TSC and Datalogic announce a global strategic alliance agreement.

The Global Automatic Data Capture Market has been segmented as Follows:

Automatic Data Capture Market – By Component

  • Hardware
  • Software
  • Services

Automatic Data Capture Market – By Technology

  • OCR
  • BCR
  • RFID
  • Others

Automatic Data Capture Market – By End Users

  • Manufacturing
  • Retail
  • Transportation & Logistics
  • Education & IT
  • Healthcare
  • Others

Automatic Data Capture Market – By Geography

  • North America

    • US
    • Canada
    • Mexico
  • Europe

    • France
    • Germany
    • Italy
    • UK
    • Russia
    • Rest of Europe
  • Asia Pacific

    • China
    • India
    • Australia
    • South Korea
    • Japan
    • Rest of Asia Pacific
  • Middle East and Africa

    • South Africa
    • Saudi Arabia
    • UAE
    • Rest of Middle East and Africa
  • South America

    • Brazil
    • Argentina
    • Rest of South America

Company Profiles

  • Bluebird, Inc.
  • CIPHERLAB Co., Ltd.
  • Cognex Corporation
  • Datalogic S.p.A, Toshiba International Corporation
  • Denso Wave Inc.
  • Eutronix S.A.
  • Honeywell International Inc.
  • Ingram Micro Inc. (HNA Group)
  • Microscan Systems, Inc. (Omron Corporation)
  • SATO Holdings Corporation
  • ScanSource, Inc.
  • SICK AG
  • TSC Auto ID Technology Co., Ltd.
  • Zebra Technologies Corporation
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

Technology , and Components ; End-users

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

US, Canada, Mexico, UK, Germany, Spain, Italy, France, India, China, Japan, South Korea, Australia, UAE, Saudi Arabia, South Africa, Brazil, Argentina

1. INTRODUCTION

1.1 Scope of the Study

1.2 The Insight Partners Research Report Guidance

2. Key Takeaways

3. Data Center Construction Market Landscape

3.1 Market Overview

3.2 market segmentation

3.2.1 Global Data Center Construction Market – Types of Construction

3.2.2 Global Data Center Construction Market – Tier Standards

3.2.3 Global Data Center Construction Market – By Industry Verticals

3.2.4 Global Data Center Construction Market – By Geography

3.3 PEST ANALYSIS

3.3.1 North America PEST Analysis

3.3.2 1.1.2 Europe PEST Analysis

3.3.3 Asia Pacific PEST Analysis

3.3.4 Middle East & Africa PEST Analysis

3.3.5 South America PEST Analysis

3.4 Cost Analysis

3.4.1 Data Center Construction Cost Structure

4. Global Data Center Construction Market – Key Industry Dynamics

4.1 Key Market Drivers

4.1.1 Emergence of distributed IT and edge computing saw an increase in the number of data centers being used

4.1.2 Rapidly increasing data traffic

4.1.3 High EBITDA margins in the infrastructure sector

4.1.4 Development in analytical capabilities for effective decision making

4.2 Key Market Restraints

4.2.1 High CaPex, OpEx & TCO for building Data Centers

4.2.2 Complex infrastructure

4.2.3 Emergence of containerized data center

4.3 Key Market Opporunities

4.3.1 Growth in adoption of hyperscale data centres to generate opportunity for the market

4.3.2 Growth in Green Data Centers

4.3.3 Constant growth in number of data centers construction

4.4 Future Trends

4.4.1 Colocation and cloud services are expected to gain the larger pie of the market

4.4.2 Technological complexity and need for security will drive the growth in near future

4.5 Impact Analysis of Drivers and Restraints

5. Data Center Construction Market – Global

5.1 Global Data Center Construction Market Overview

5.2 Global Data Center Construction Market Forecast and Analysis

6. Global Data Center Construction Market Analysis – By Types of Construction

6.1 Overview

6.2 Electrical Design

6.2.1 Overview

6.2.2 Global Electrical Design Market Revenue and Forecasts to 2027 (US$ Mn)

6.3 Mechanical Design

6.3.1 Overview

6.3.2 Global Mechanical Design Market Revenue and Forecasts to 2027 (US$ Mn)

6.4 General Construction

6.4.1 Overview

6.4.2 Global General Construction Market Revenue and Forecasts to 2027 (US$ Mn)

7. Global Data Center Construction Market Analysis – By Tier Standards

7.1 Overview

7.2 Tier 1 & 2

7.2.1 Overview

7.2.2 Global Tier 1 & 2 Revenue and Forecasts to 2027 (US$ Mn)

7.3 Tier 3

7.3.1 Overview

7.3.2 Global Tier 3 Market Revenue and Forecasts to 2027 (US$ Mn)

7.4 Tier 4

7.4.1 Overview

7.4.2 Global Tier 4 Market Revenue and Forecasts to 2027 (US$ Mn)

8. Global Data Center Construction Market Analysis – By Industry Vertical

8.1 overview

8.2 BFSI

8.2.1 Overview

8.2.2 Global BFSI Revenue and Forecasts to 2027 (US$ Mn)

8.3 Government

8.3.1 Overview

8.3.2 Global Government Market Revenue and Forecasts to 2027 (US$ Mn)

8.4 Technology

8.4.1 Overview

8.4.2 Global Technology Market Revenue and Forecasts to 2027 (US$ Mn)

8.5 Telecom Media & Entertainment

8.5.1 Overview

8.5.2 Global Telecom Media & Entertainment Market Revenue and Forecasts to 2027 (US$ Mn)

8.6 Retail

8.6.1 Overview

8.6.2 Global Retail Market Revenue and Forecasts to 2027 (US$ Mn)

8.7 Healthcare

8.7.1 Overview

8.7.2 Global Healthcare Market Revenue and Forecasts to 2027 (US$ Mn)

8.8 Others

8.8.1 Overview

8.8.2 Global Others Market Revenue and Forecasts to 2027 (US$ Mn)

9. Global Data Center Construction Market – Geographical Analysis

9.1 Overview

9.2 North America Data Center Construction Market Revenue and Forecasts to 2027

9.2.1 Overview

9.2.2 North America Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.2.3 North America Data Center Construction Market Breakdown by Key Countries

9.2.3.1 U.S. Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.2.3.2 Canada Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.2.3.3 Mexico Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.2.4 North America Data Center Construction Market Breakdown by Types of Construction

9.2.5 North America Data Center Construction Market Breakdown by Tier Standards

9.2.6 North America Data Center Construction Market Breakdown by Industry Verticals

9.3 Europe Data Center Construction Market Revenue and Forecasts to 2027

9.3.1 Overview

9.3.2 Europe Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.3.3 Europe Data Center Construction Market Breakdown by Key Countries

9.3.3.1 France Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.3.3.2 Germany Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.3.3.3 Italy Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.3.3.4 Spain Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.3.3.5 UK Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.3.4 Europe Data Center Construction Market Breakdown by Types of Construction

9.3.5 Europe Data Center Construction Market Breakdown by Tier Standards

9.3.6 Europe Data Center Construction Market Breakdown by Industry Verticals

9.4 Asia Pacific (APAC) Data Center Construction Market Revenue and Forecasts to 2027

9.4.1 Overview

9.4.2 Asia Pacific Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.4.3 Asia Pacific Data Center Construction Market Breakdown by Key Countries

9.4.3.1 Japan Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.4.3.2 China Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.4.3.3 India Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.4.3.4 Australia Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.4.4 Asia Pacific Data Center Construction Market Breakdown by Types of Construction

9.4.5 Asia Pacific Data Center Construction Market Breakdown by Tier Standards

9.4.6 Asia Pacific Data Center Construction Market Breakdown by Industry Verticals

9.5 Middle East & Africa (MEA) Data Center Construction Market Revenue and Forecasts to 2027

9.5.1 Overview

9.5.2 Middle East & Africa Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.5.3 Middle East & Africa Data Center Construction Market Breakdown by Key Countries

9.5.3.1 Saudi Arabia Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.5.3.2 UAE Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.5.3.3 South Africa Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.5.4 Middle East & Africa Data Center Construction Market Breakdown by Types of Construction

9.5.5 Middle East & Africa Data Center Construction Market Breakdown by Tier Standards

9.5.6 Middle East & Africa Data Center Construction Market Breakdown by Industry Verticals

9.6 South America Data Center Construction Market Revenue and Forecasts to 2027

9.6.1 Overview

9.6.2 South America Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.6.3 South America Data Center Construction Market Breakdown by Key Countries

9.6.3.1 Brazil Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.6.3.2 Argentina Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.6.3.3 Rest of SAM Data Center Construction Market Revenue and Forecasts to 2027 (US$ Mn)

9.6.4 South America Data Center Construction Market Breakdown by Types of Construction

9.6.5 South America Data Center Construction Market Breakdown by Tier Standards

9.6.6 South America Data Center Construction Market Breakdown by Industry Verticals

10. Industry Landscape

10.1 Overview

10.2 Market Initiative

10.3 New Product Development

11. Competitive Landscape

11.1 Competitive Product Mapping

11.2 Market Positioning

12. Global Data Center Construction Market – Key Company Profiles

12.1 Dpr construction, Inc.

12.1.1 Key Facts

12.1.2 Business Description

12.1.3 Financial Overview

12.1.4 SWOT Analysis

12.1.5 Key Developments

12.2 Fujitsu Limited

12.2.1 Key Facts

12.2.2 Business Description

12.2.3 Financial Overview

12.2.4 SWOT Analysis

12.2.5 Key Developments

12.3 AECOM

12.3.1 Key Facts

12.3.2 Business Description

12.3.3 Financial Overview

12.3.4 SWOT Analysis

12.3.5 Key Developments

12.4 Holder Construction company

12.4.1 Key Facts

12.4.2 Business Description

12.4.3 Financial Overview

12.4.4 SWOT Analysis

12.4.5 Key Developments

12.5 Rittal GmbH & Co. KG

12.5.1 Key Facts

12.5.2 Business Description

12.5.3 Financial Overview

12.5.4 SWOT Analysis

12.5.5 Key Developments

12.6 Tripp Lite

12.6.1 Key Facts

12.6.2 Business Description

12.6.3 Financial Overview

12.6.4 SWOT Analysis

12.6.5 Key Developments

12.7 Turner Construction

12.7.1 Key Facts

12.7.2 Business Description

12.7.3 Financial Overview

12.7.4 SWOT Analysis

12.7.5 Key Developments

12.8 The Whiting-Turner Contracting Company

12.8.1 Key Facts

12.8.2 Business Description

12.8.3 Financial Overview

12.8.4 SWOT Analysis

12.8.5 Key Developments

12.9 Schneider Electric SE

12.9.1 Key Facts

12.9.2 Business Description

12.9.3 Financial Overview

12.9.4 SWOT Analysis

12.9.5 Key Developments

12.10 Hitachi Vantara Corporation

12.10.1 Key Facts

12.10.2 Business Description

12.10.3 Financial Overview

12.10.4 SWOT Analysis

12.10.5 Key Developments

13. Appendix

13.1 About The Insight Partners

13.2 Glossary of Terms

13.3 Methodology

13.4 Coverage

13.4.1 Secondary Research

13.4.2 Primary Research

The List of Companies - Automatic Data Capture Market 

1. Bluebird, Inc.
2. CIPHERLAB Co., Ltd.
3. Denso Wave Inc.
4. Eutronix S.A.
5. Ingram Micro Inc.(HNA Group)
6. SATO Holdings Corporation
7. ScanSource, Inc.
8. SICK AG
9. TSC Auto ID Technology Co., Ltd.
10. Zebra Technologies Corporation
11. Cognex Corporation
12. Datalogic S.p.A
13. Toshiba International Corporation
14. Honeywell International Inc.
15. Microscan Systems, Inc. (Omron Corporation)

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • 3.1 Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • 3.2 Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • 3.3 Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • 3.4 Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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