Artificial Intelligence (AI) in Image Recognition Market

Artificial Intelligence (AI) in Image Recognition Market - Global Industry Share, Growth, Competitive Analysis and Forecast, 2019-2025

Published: Jul 2019 | Report Code: | Category : Artificial Intelligence | Delivery Format: /

Artificial Intelligence (AI) in Image Recognition Market is expected to grow at a significant rate during the forecast period 2019-2025. Image processing software analyzes digital images in order to enhance image quality and extract valuable data from it. Image processing software uses automated methods to recognize the person on the basis of characteristics such as face recognition, fingerprints, hand geometry, signature verification, iris, retinal, finger/hand/palm recognition and ear recognition. Image processing software can be applied across various fields such as vehicular safety, advertising, security, and surveillance. The computer can utilize machine vision technology in integration with a camera and AI programming to accomplish image recognition.

The major players providing AI in image processing solutions include IBM Corp., Google LLC, Amazon web services, Inc., Intel Corp., and MICRON Technology, Inc. among others. The platform helps in improving the operational efficiency of its users by performing a large number of machine-based visual tasks such as labeling the content of an image with meta-tags, performing image content search and among others. The major factors that are augmenting the growth of the market include the growing adoption of AI and increasing the use of big data analytics. These factors encourage the key players to develop innovative solutions which are expected to contribute to the market growth. Although, the lack of technical expertise is the major restraining factor for this market.

Artificial Intelligence (AI) in Image Recognition Market Report

The AI in image recognition market is segmented on the basis of end-user and product type. As per the geography, the market is segmented into, North America, Europe, Asia-Pacific and Rest of the World (RoW). North America is expected to dominate the AI in image recognition market during the forecast period. The growth is attributed to the increasing adoption of advanced technology, and rising demand for AI in image processing and recognition owing to an increase in investment by the key players. Asia-Pacific is expected to be the fastest growing region owing to the presence of numerous emerging economies such as China, India, and Japan among various others. Countries such as India are promoting the startups and they are also encouraging the development of new technologies.

There are various companies providing AI in image recognition solutions such as Clarifai, Inc., NVIDIA Corp., Qualcomm Corp., Microsoft Corp., Google, LLC, IBM Corp., among various others. These companies are focused on developing advanced AI in image recognition solutions to stay competitive in the market. Geographical expansion, merger & acquisition, finding a new market or innovate in their core competency in order to expand individual market share are the key strategies adopted by major market players.

Research Methodology:

The market study of the global AI in image recognition market is incorporated by extensive primary and secondary research conducted by a research team at OMR. Secondary research has been conducted to refine the available data to break down the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior and macroeconomic factors. Numbers extracted from secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings the authenticity of our reports.

Secondary Sources Include:

  • Financial reports of companies involved in the market
  • Authentic public databases
  • Whitepapers, research-papers and news blogs
  • Company websites and their product catalog

The report is intended for the AI image recognition service provider, smartphones companies, research, investment companies, government organizations for overall market analysis and competitive analysis. The report will serve as a source for 360-degree analysis of the market thoroughly integrating different models delivering insights into the market for better business decisions.

Market Segmentation:

  • Global AI in image recognition Market Research and Analysis by End-User
  • Global AI in image recognition Market Research and Analysis by Product Type

The Report Covers:

  • Comprehensive research methodology of the global AI in image recognition market.
  • This report also includes a detailed and extensive market overview with key analyst insights.
  • An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
  • Insights about market determinants which are stimulating the global AI in image recognition market.
  • Detailed and extensive market segments with regional distribution of forecast revenues.
  • Extensive profiles and recent developments of market players.

1. Report Summary

1.1. Research Methods and Tools

1.2. Market Breakdown

1.2.1. By Segments

1.2.2. By Geography

1.2.3. By Stakeholders

2. Market Overview and Insights

2.1. Scope of the Report

2.2. Analyst Insight & Current Market Trends

2.2.1. Key Findings

2.2.2. Recommendations

2.2.3. Conclusion

2.3. Rules & Regulations

3. Competitive Landscape

3.1. Competitive Dashboard

3.2. Key Strategy Analysis

3.3. Key Company Analysis

3.3.1. IBM Corp.

3.3.1.1. Overview

3.3.1.2. Financial Analysis

3.3.1.3. SWOT Analysis

3.3.1.4. Recent Developments

3.3.2. Google, LLC

3.3.2.1. Overview

3.3.2.2. Financial Analysis

3.3.2.3. SWOT Analysis

3.3.2.4. Recent Developments

3.3.3. Amazon Web Services, Inc.

3.3.3.1. Overview

3.3.3.2. Financial Analysis

3.3.3.3. SWOT Analysis

3.3.3.4. Recent Developments

3.3.4. Microsoft Corp.

3.3.4.1. Overview

3.3.4.2. Financial Analysis

3.3.4.3. SWOT Analysis

3.3.4.4. Recent Developments

3.3.5. Cortica (Startup)

3.3.5.1. Overview

3.3.5.2. Financial Analysis

3.3.5.3. SWOT Analysis

3.3.5.4. Recent Developments

4. Market Determinants

4.1. Motivators

4.2. Restraints

4.3. Opportunities

5. Market Segmentation

5.1. Global AI in Image Recognition Market by End-User

5.1.1. Automotive

5.1.2. Banking, financial services and insurance (BFSI)

5.1.3. Healthcare

5.1.4. Security

5.1.5. Retail

5.2. Global AI in Image Recognition Market by Product Type

5.2.1. Hardware

5.2.2. Software

6. Regional Analysis

6.1. North America

6.1.1. United States

6.1.2. Canada

6.2. Europe

6.2.1. UK

6.2.2. Germany

6.2.3. Italy

6.2.4. Spain

6.2.5. France

6.2.6. Rest of Europe

6.3. Asia-Pacific

6.3.1. China

6.3.2. India

6.3.3. Japan

6.3.4. Rest of Asia-Pacific

6.4. Rest of the World

7. Company Profiles

7.1. Aether, Inc.

7.2. Amazon Web Services, Inc.

7.3. Clarifai, Inc.

7.4. Cortexica Vision Systems, Ltd.

7.5. Cortica

7.6. Google, LLC

7.7. IBM Corp.

7.8. Intel, Inc.

7.9. LPixel, Inc.

7.10. MICRON Technology, Inc.

7.11. Microsoft Corp.

7.12. NVIDIA Corp.

7.13. Pixelab

7.14. Procter & Gamble Co.

7.15. Qualcomm Corp.

7.16. Samsung Electronics Co., Ltd.

7.17. Softech, Ltd.

7.18. Vee Technologies, Inc.

7.19. Visenze

7.20. Webtunix

7.21. Xilinx, Inc.