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Automatic Identification and Data Capture Market Outlook (2023 to 2033)

The global automatic identification and data capture market is likely to generate a market value of US$ 52,910.7 million in 2023 and is expected to accumulate a market value of US$ 147,992.7 million by registering a CAGR of 10.8% in the forecast period.

The growth of the automatic identification and data capture market is attributed to the increasing use of smartphones for QR code scanning and image recognition. The market for automatic identification and data capture registered a CAGR of 8.7% in the historical period.

Automatic identification and data capture (AIDC) or automatic data capture system is an enhanced method, which is used to automatically identify assets and objects, collect information, and record data directly into computer systems. Further, AIDC systems are intended to manage assets, objects, delivery, inventories, and documents across the transportation, manufacturing, distribution, retail, government, and healthcare sectors.

In addition, automatics identification technologies such as radio frequency identification (RFID), optical character recognition (OCR), bar codes, biometrics, voice recognition, and QR codes are considered a part of automatic identification and data capture (AIDC).

Significant factors that impact the growth of the global automatic identification and data capture market include a surge in the growth of e-commerce platforms coupled with the rise in the utilization of smartphones for image recognition and QR code scanning. On the contrary, the rise in concerns about malware attacks and security breaches is projected to challenge the automatic identification and data capture sector over the analysis period.

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Which are Some Prominent Drivers of Automatic Identification and Data Capture Market?

The growing e-commerce industry globally, increasing use of smartphones for QR code scanning and image recognition, and rising adoption of automatic identification and data capture solutions due to their ability to minimize queuing and transaction time and provide greater convenience to users in making small-value payments are the key factors that are anticipated to boost the market growth over the analysis period.

Additionally, the surging adoption of automatic identification and data capture solutions by banking and financial institutions to ensure customer safety and security, along with data privacy are some other factors that are expected to accelerate the growth of the automatic identification and data capture industry during the forecast period.

E-Commerce Industry Augmenting Growth of Automatic Identification and Data Capture

The automatic identification and data capture sector is witnessing a surge, owing to the rise in the use of the e-commerce industry paired with an increase in demand for smartphones, which is expected to propel the growth of the market in the forthcoming years.

The rising adoption of automatic identification and data capture solutions owing to their ability to minimize human error is expected to fuel the growth of the market during the forecast period.

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What are the Challenges Faced by the Market?

The high cost associated with the installation of automatic identification and data capture systems is one of the key factors that is expected to impede the growth of the automatic identification and data capture sector during the forecast period. In addition, the rise in concerns about malware attacks and security breaches is projected to challenge the automatic identification and data capture business over the analysis period.

A huge chunk of a retail outlet’s total sale is contributed by low-value products and it is therefore economically unviable to use technologies such as RFIDs and 2D barcodes which are at the base of developments in the Automatic Identification & Data Capture market.

This is true for many other industries too, where the cost of large-scale implementation is hampering the growth of the automatic identification and data capture industry.

Attributes Value
Automatic Identification and Data Capture Market Size (2023) US$ 52,910.7 million
Automatic Identification and Data Capture Market Projected Size (2033) US$ 147,992.7 million
Automatic Identification and Data Capture Market CAGR (2023 to 2033) 10.8%

2018 to 2022 Automatic Identification and Data Capture Demand Analysis vs Forecast 2023 to 2033

The global demand for automatic identification and data capture is projected to increase at a CAGR of 10.8% during the forecast period, reaching a total of US$ 147,992.7 million in 2033, according to a report from Future Market Insights (FMI). From 2018 to 2022, sales witnessed significant growth, registering a CAGR of 10.8%.

Data capturing has become essential to track and trace products of nearly all end-user industries. Not only does this help in analyzing the information about the product but also stores and saves information regarding the purchase of the product along with recording minute details of the same.

Although the COVID-19 pandemic affected the demand for automatic identification and data capture, the increasing sales of consumer products and emerging end-user industries are positively influencing the demand for automatic identification and data capture.

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Comparative View of the Market

Automatic Identification and Data Capture Market :

Attributes Automatic Identification and Data Capture Market
CAGR (2023 to 2033) 10.8%
Market Value (2033) US$ 147,992.7 million
Growth Factor Surging use of smartphone
Opportunity Surging application in banking and finance sector
Key Trends Rising e-commerce industry

RFID Printers Market :

Attributes RFID Printers Market
CAGR (2023 to 2033) 7.2%
Market Value (2033) US$ 3,750.05 million
Growth Factor Rising application in shipping and warehousing activities
Opportunity Emergence of RFID printing machines
Key Trends Surging RFID technology with barcode printer

RFID Reader Market :

Attributes RFID Reader Market
CAGR (2023 to 2033) 9.8%
Market Value (2033) US$ 43,210 million
Growth Factor Surging the need for unique solutions for inventory management
Opportunity Wide scope in security authentication
Key Trends Functions in vehicles and electronic devices

Regional Analysis

Countries Market Share (2022)
United States 16.4%
Germany 9.4%
Japan 4.3%
Australia 5.4%

Awareness Regarding AIDC Devices Contributing to Automatic Identification and Data Capture Sector Growth in North America?

The growth of automatic identification and data capture is largely driven by the increasing awareness and high adoption of AIDC devices, increasing government legislation & investments, particularly in retail, healthcare, and manufacturing industries; it contributes to the technological development of numerous industries in the region.

The region is expected to witness the leading growth during the forecast period, owing to the wide acceptance of advanced technologies in the region. In terms of regional platforms, North America holds the leading market share in the market. The region accumulated a market share of 27.2% in 2022.

Technological Advancements in End User Industries Changing Landscape for Automatic Identification and Data Capture Industry in Europe?

Europe expanded with 22.1% share in the market. The region is presently experiencing prominent growth in the barcode, RFID, and biometric technologies in various industries such as retail, manufacturing, transportation & logistics, healthcare, and BFSI. Furthermore, technological advancement and innovation are changing the landscape for automatic identification and data capture in the market in the region.

According to Future Market Insights, Europe is expected to provide immense growth opportunities for automatic identification and data capture and is expected to yield 24.7% revenue in 2022.

Retail and Logistic Companies Key Contributors to Automatic Identification and Data Capture Industry in Asia Pacific?

Countries CAGR (2023 to 2033)
China 8.2%
India 14.3%

Retail and logistics companies are expanding their presence in the Asia Pacific region to capitalize on the increased purchasing power of middle-class people. This, in turn, has led to the growth of automatic identification and data capture in the market in the region.

The significant presence of several market players, such as Panasonic, SATO, Toshiba, Godex, and Optoelectronics in the region is likely to propel the growth of the automatic identification and data capture sector in Asia Pacific. Thus, Asia Pacific is expected to procure a 32% market share for the automatic identification and data capture of the market in 2022.

Increasing need for Data Capturing of Hardware Components Elevating Growth

Hardware segment dominated the market with 44.3% in 2022. The high requirement for hardware components in several automatic identification and data capture products such as barcoding solutions, magnetic stripe cards, smart cards, optical character recognition (OCR) systems, RFID tags, printers and readers, tablets, wearables, VR devices, heads-up display devices, Google Glass, and biometric systems, has contributed to the leading size of the hardware segment.

The increasing sales of these products are contributing to the growth of the hardware component segment.

Start-ups for Automatic Identification and Data Capture Market

Key players in the global automatic identification and data capture sector are Onna, Consilio, Amplitude, ContentSquare, LiveRamp, mParticle and TreasureData

  • ContentSquare, a key player in the automatic identification and data capture sector offers AI-based customer journey analytics software. The platform not only captures data but also analyzes the same for future use.
  • Amplitude, another key player in the automatic identification and data capture industry helps companies to leverage data to drive user growth. The company is focusing on analyzing real-time data and using it to make decisions for the future.

Market Competition

Key participants present in the global market are RIOTEC Co. Ltd., Datalogic, ZIH Corp., Synaptics Incorporated, CVISION Technologies Inc., SATO Holdings Corporation, and Toshiba TEC Corporation, among others.

  • In May 2022, Datalogic announced the launch of MATRIX 320 5 MP which read multiple labels and codes in a single acquisition with a single reader. Through these products, the company is focusing on boosting operational capability and gaining higher productivity.
  • RIOTEC Co. Ltd, a key player in the market, is offering a variety of data-capturing products such as pocket, mobile and wearable scanners.

Key Players :

  • RIOTEC Co. Ltd.
  • ZIH Corp.
  • Synaptics Incorporated
  • CVISION Technologies Inc.
  • SATO Holdings Corporation
  • Toshiba TEC Corporation

Key Segments

By Component :

  • Hardware
    • RFID Reader
    • Barcode Scanner
    • Smart Cards
    • Magnetic Ink Character Recognition Devices
    • Optical Character Recognition Devices
    • Biometric Devices
  • Software
  • Services
    • Integration & Installation Services
    • Support & Maintenance Services

By End User :

  • Transportation
  • Logistics & Warehouse
  • Courier & Postal Services
  • Retail
  • E-Commerce
  • FMCG
  • Manufacturing
  • Healthcare
  • Other End Users (Toll Plaza, etc.)

By Region :

  • North America
  • Latin America
  • Europe
  • Asia Pacific
  • Middle East & Africa

Frequently Asked Questions

What is the Automatic Identification and Data Capture Market CAGR for 2033?

The Automatic Identification and Data Capture Market CAGR for 2033 is 10.8%.

How Big Will the Automatic Identification and Data Capture Market by 2033?

The market is estimated to reach US$ 147,992.7 million by 2033.

Who are the Key Automatic Identification and Data Capture Market Players?

Cognex Corporation, Datalogic S.p.A., Honeywell International Inc. are key market players.

What is the Current Market Valuation of the Automatic Identification and Data Capture Market?

The market is estimated to secure a valuation of US$ 52,910.7 million in 2023.

What are the Current Trends in the Automatic Identification and Data Capture Market?

AIDC market development is being driven by the rise of RFID, mobile AIDC, cloud computing, new technology, and data security concerns.

Table of Content

1. Executive Summary

    1.1. Global Market Outlook

    1.2. Demand-side Trends

    1.3. Supply-side Trends

    1.4. Technology Roadmap Analysis

    1.5. Analysis and Recommendations

2. Market Overview

    2.1. Market Coverage / Taxonomy

    2.2. Market Definition / Scope / Limitations

3. Market Background

    3.1. Market Dynamics

        3.1.1. Drivers

        3.1.2. Restraints

        3.1.3. Opportunity

        3.1.4. Trends

    3.2. Scenario Forecast

        3.2.1. Demand in Optimistic Scenario

        3.2.2. Demand in Likely Scenario

        3.2.3. Demand in Conservative Scenario

    3.3. Opportunity Map Analysis

    3.4. Investment Feasibility Matrix

    3.5. PESTLE and Porter’s Analysis

    3.6. Regulatory Landscape

        3.6.1. By Key Regions

        3.6.2. By Key Countries

    3.7. Regional Parent Market Outlook

4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033

    4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022

    4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033

        4.2.1. Y-o-Y Growth Trend Analysis

        4.2.2. Absolute $ Opportunity Analysis

5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component

    5.1. Introduction / Key Findings

    5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022

    5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033

        5.3.1. Hardware

            5.3.1.1. RFID Reader

            5.3.1.2. Barcode Scanner

            5.3.1.3. Smart Cards

            5.3.1.4. Magnetic Ink Character Recognition Devices

            5.3.1.5. Optical Character Recognition Devices

            5.3.1.6. Biometric Devices

        5.3.2. Software

        5.3.3. Services

            5.3.3.1. Integration & Installation Services

            5.3.3.2. Support & Maintenance Services

    5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022

    5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033

6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User

    6.1. Introduction / Key Findings

    6.2. Historical Market Size Value (US$ Million) Analysis By End User, 2018 to 2022

    6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2023 to 2033

        6.3.1. Transportation

        6.3.2. Logistics & Warehouse

        6.3.3. Courier & Postal Services

        6.3.4. Retail

        6.3.5. E-Commerce

        6.3.6. FMCG

        6.3.7. Manufacturing

        6.3.8. Healthcare

        6.3.9. Others

    6.4. Y-o-Y Growth Trend Analysis By End User, 2018 to 2022

    6.5. Absolute $ Opportunity Analysis By End User, 2023 to 2033

7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region

    7.1. Introduction

    7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022

    7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033

        7.3.1. North America

        7.3.2. Latin America

        7.3.3. Western Europe

        7.3.4. Eastern Europe

        7.3.5. South Asia and Pacific

        7.3.6. East Asia

        7.3.7. Middle East and Africa

    7.4. Market Attractiveness Analysis By Region

8. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        8.2.1. By Country

            8.2.1.1. USA

            8.2.1.2. Canada

        8.2.2. By Component

        8.2.3. By End User

    8.3. Market Attractiveness Analysis

        8.3.1. By Country

        8.3.2. By Component

        8.3.3. By End User

    8.4. Key Takeaways

9. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        9.2.1. By Country

            9.2.1.1. Brazil

            9.2.1.2. Mexico

            9.2.1.3. Rest of Latin America

        9.2.2. By Component

        9.2.3. By End User

    9.3. Market Attractiveness Analysis

        9.3.1. By Country

        9.3.2. By Component

        9.3.3. By End User

    9.4. Key Takeaways

10. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        10.2.1. By Country

            10.2.1.1. Germany

            10.2.1.2. UK

            10.2.1.3. France

            10.2.1.4. Spain

            10.2.1.5. Italy

            10.2.1.6. Rest of Western Europe

        10.2.2. By Component

        10.2.3. By End User

    10.3. Market Attractiveness Analysis

        10.3.1. By Country

        10.3.2. By Component

        10.3.3. By End User

    10.4. Key Takeaways

11. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        11.2.1. By Country

            11.2.1.1. Poland

            11.2.1.2. RUSAa

            11.2.1.3. Czech Republic

            11.2.1.4. Romania

            11.2.1.5. Rest of Eastern Europe

        11.2.2. By Component

        11.2.3. By End User

    11.3. Market Attractiveness Analysis

        11.3.1. By Country

        11.3.2. By Component

        11.3.3. By End User

    11.4. Key Takeaways

12. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        12.2.1. By Country

            12.2.1.1. India

            12.2.1.2. Bangladesh

            12.2.1.3. Australia

            12.2.1.4. New Zealand

            12.2.1.5. Rest of South Asia and Pacific

        12.2.2. By Component

        12.2.3. By End User

    12.3. Market Attractiveness Analysis

        12.3.1. By Country

        12.3.2. By Component

        12.3.3. By End User

    12.4. Key Takeaways

13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        13.2.1. By Country

            13.2.1.1. China

            13.2.1.2. Japan

            13.2.1.3. South Korea

        13.2.2. By Component

        13.2.3. By End User

    13.3. Market Attractiveness Analysis

        13.3.1. By Country

        13.3.2. By Component

        13.3.3. By End User

    13.4. Key Takeaways

14. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        14.2.1. By Country

            14.2.1.1. GCC Countries

            14.2.1.2. South Africa

            14.2.1.3. Israel

            14.2.1.4. Rest of MEA

        14.2.2. By Component

        14.2.3. By End User

    14.3. Market Attractiveness Analysis

        14.3.1. By Country

        14.3.2. By Component

        14.3.3. By End User

    14.4. Key Takeaways

15. Key Countries Market Analysis

    15.1. USA

        15.1.1. Pricing Analysis

        15.1.2. Market Share Analysis, 2022

            15.1.2.1. By Component

            15.1.2.2. By End User

    15.2. Canada

        15.2.1. Pricing Analysis

        15.2.2. Market Share Analysis, 2022

            15.2.2.1. By Component

            15.2.2.2. By End User

    15.3. Brazil

        15.3.1. Pricing Analysis

        15.3.2. Market Share Analysis, 2022

            15.3.2.1. By Component

            15.3.2.2. By End User

    15.4. Mexico

        15.4.1. Pricing Analysis

        15.4.2. Market Share Analysis, 2022

            15.4.2.1. By Component

            15.4.2.2. By End User

    15.5. Germany

        15.5.1. Pricing Analysis

        15.5.2. Market Share Analysis, 2022

            15.5.2.1. By Component

            15.5.2.2. By End User

    15.6. UK

        15.6.1. Pricing Analysis

        15.6.2. Market Share Analysis, 2022

            15.6.2.1. By Component

            15.6.2.2. By End User

    15.7. France

        15.7.1. Pricing Analysis

        15.7.2. Market Share Analysis, 2022

            15.7.2.1. By Component

            15.7.2.2. By End User

    15.8. Spain

        15.8.1. Pricing Analysis

        15.8.2. Market Share Analysis, 2022

            15.8.2.1. By Component

            15.8.2.2. By End User

    15.9. Italy

        15.9.1. Pricing Analysis

        15.9.2. Market Share Analysis, 2022

            15.9.2.1. By Component

            15.9.2.2. By End User

    15.10. Poland

        15.10.1. Pricing Analysis

        15.10.2. Market Share Analysis, 2022

            15.10.2.1. By Component

            15.10.2.2. By End User

    15.11. RUSAa

        15.11.1. Pricing Analysis

        15.11.2. Market Share Analysis, 2022

            15.11.2.1. By Component

            15.11.2.2. By End User

    15.12. Czech Republic

        15.12.1. Pricing Analysis

        15.12.2. Market Share Analysis, 2022

            15.12.2.1. By Component

            15.12.2.2. By End User

    15.13. Romania

        15.13.1. Pricing Analysis

        15.13.2. Market Share Analysis, 2022

            15.13.2.1. By Component

            15.13.2.2. By End User

    15.14. India

        15.14.1. Pricing Analysis

        15.14.2. Market Share Analysis, 2022

            15.14.2.1. By Component

            15.14.2.2. By End User

    15.15. Bangladesh

        15.15.1. Pricing Analysis

        15.15.2. Market Share Analysis, 2022

            15.15.2.1. By Component

            15.15.2.2. By End User

    15.16. Australia

        15.16.1. Pricing Analysis

        15.16.2. Market Share Analysis, 2022

            15.16.2.1. By Component

            15.16.2.2. By End User

    15.17. New Zealand

        15.17.1. Pricing Analysis

        15.17.2. Market Share Analysis, 2022

            15.17.2.1. By Component

            15.17.2.2. By End User

    15.18. China

        15.18.1. Pricing Analysis

        15.18.2. Market Share Analysis, 2022

            15.18.2.1. By Component

            15.18.2.2. By End User

    15.19. Japan

        15.19.1. Pricing Analysis

        15.19.2. Market Share Analysis, 2022

            15.19.2.1. By Component

            15.19.2.2. By End User

    15.20. South Korea

        15.20.1. Pricing Analysis

        15.20.2. Market Share Analysis, 2022

            15.20.2.1. By Component

            15.20.2.2. By End User

    15.21. GCC Countries

        15.21.1. Pricing Analysis

        15.21.2. Market Share Analysis, 2022

            15.21.2.1. By Component

            15.21.2.2. By End User

    15.22. South Africa

        15.22.1. Pricing Analysis

        15.22.2. Market Share Analysis, 2022

            15.22.2.1. By Component

            15.22.2.2. By End User

    15.23. Israel

        15.23.1. Pricing Analysis

        15.23.2. Market Share Analysis, 2022

            15.23.2.1. By Component

            15.23.2.2. By End User

16. Market Structure Analysis

    16.1. Competition Dashboard

    16.2. Competition Benchmarking

    16.3. Market Share Analysis of Top Players

        16.3.1. By Regional

        16.3.2. By Component

        16.3.3. By End User

17. Competition Analysis

    17.1. Competition Deep Dive

        17.1.1. RIOTEC Co. Ltd.

            17.1.1.1. Overview

            17.1.1.2. Product Portfolio

            17.1.1.3. Profitability by Market Segments

            17.1.1.4. Sales Footprint

            17.1.1.5. Strategy Overview

                17.1.1.5.1. Marketing Strategy

        17.1.2. ZIH Corp.

            17.1.2.1. Overview

            17.1.2.2. Product Portfolio

            17.1.2.3. Profitability by Market Segments

            17.1.2.4. Sales Footprint

            17.1.2.5. Strategy Overview

                17.1.2.5.1. Marketing Strategy

        17.1.3. Synaptics Incorporated

            17.1.3.1. Overview

            17.1.3.2. Product Portfolio

            17.1.3.3. Profitability by Market Segments

            17.1.3.4. Sales Footprint

            17.1.3.5. Strategy Overview

                17.1.3.5.1. Marketing Strategy

        17.1.4. CVISION Technologies Inc.

            17.1.4.1. Overview

            17.1.4.2. Product Portfolio

            17.1.4.3. Profitability by Market Segments

            17.1.4.4. Sales Footprint

            17.1.4.5. Strategy Overview

                17.1.4.5.1. Marketing Strategy

        17.1.5. SATO Holdings Corporation

            17.1.5.1. Overview

            17.1.5.2. Product Portfolio

            17.1.5.3. Profitability by Market Segments

            17.1.5.4. Sales Footprint

            17.1.5.5. Strategy Overview

                17.1.5.5.1. Marketing Strategy

        17.1.6. Toshiba TEC Corporation

            17.1.6.1. Overview

            17.1.6.2. Product Portfolio

            17.1.6.3. Profitability by Market Segments

            17.1.6.4. Sales Footprint

            17.1.6.5. Strategy Overview

                17.1.6.5.1. Marketing Strategy

        17.1.7. Cognex Corporation

            17.1.7.1. Overview

            17.1.7.2. Product Portfolio

            17.1.7.3. Profitability by Market Segments

            17.1.7.4. Sales Footprint

            17.1.7.5. Strategy Overview

                17.1.7.5.1. Marketing Strategy

        17.1.8. Datalogic S.p.A.

            17.1.8.1. Overview

            17.1.8.2. Product Portfolio

            17.1.8.3. Profitability by Market Segments

            17.1.8.4. Sales Footprint

            17.1.8.5. Strategy Overview

                17.1.8.5.1. Marketing Strategy

        17.1.9. Panasonic Corporation

            17.1.9.1. Overview

            17.1.9.2. Product Portfolio

            17.1.9.3. Profitability by Market Segments

            17.1.9.4. Sales Footprint

            17.1.9.5. Strategy Overview

                17.1.9.5.1. Marketing Strategy

        17.1.10. NXP Semiconductors N.V.

            17.1.10.1. Overview

            17.1.10.2. Product Portfolio

            17.1.10.3. Profitability by Market Segments

            17.1.10.4. Sales Footprint

            17.1.10.5. Strategy Overview

                17.1.10.5.1. Marketing Strategy

18. Assumptions & Acronyms Used

19. Research Methodology

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Automatic Identification System Market

Published : January 2023

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