The CMOS image sensor market is segmented into technology (Front Side Illumination, Back Side Illumination), image processing (2D, 3D), and end-user (Consumer Electronics, Security and Surveillance, Automotive, Healthcare, Aerospace and Defense, Others). The consumer electronics market will see substantial growth in the CMOS image sensor market during the forecast period owing to rising applications of this sensor in devices like mobile phones, and tablets. The wide usage of CMOS image sensors in digital cameras will be one of the main drivers behind the boom in the consumer electronics CMOS image sensor market. The security and surveillance industry hold a noticeable market share due to more usage of CMOS image sensors in biometrics, CCTV, IP networking and smart home automation.
In terms of region, the CMOS image sensor market has been classified into North America, South America, Middle East and Africa, Europe and Asia-Pacific. North America is enjoying a remarkable market share in the CMOS image sensor market because of higher applications of CMOS image sensors in the driver assistance program and the development of robotics. Moreover, this region gives more importance on the safety of the people which is creating more demand of CMOS image sensors in video mirror, driver monitoring, camera-enabled automatic emergency braking and autonomous driving applications of automotive industry. Asia-Pacific region is expecting to witness significant growth due to higher growth of the automotive industry and rising numbers of smartphone user. China and India are investing more in the automotive industry which will aggregate more demand in this region.
The report also covers some of the key players in the CMOS image sensor market, their financials, products and services, recent developments and strategies to increase market share. Some of the important players operating in this market are Sony Semiconductor Solutions Corporation, Samsung Electronics, OmniVision Technologies, Inc., ON Semiconductor, and STMicroelectronics, among others.
The CMOS Image Sensor Market has been analyzed through the following segments:
Front Side Illumination (FSI)
Back Side Illumination (BSI)
By Image Processing
Security and Surveillance
Aerospace and Defence
United States of America
Middle East and Africa
United Arab Emirates
1.1. Market Overview
1.2. Market Definition
1.3. Scope Of The Study
1.6. Base, And Forecast Years Timeline
2. Research Methodology
2.1. Research Design
2.2. Secondary Sources
3. Executive Summary
4. Market Dynamics
4.1. Market Segmentation
4.2. Market Drivers
4.3. Market Restraints
4.4. Market Opportunities
4.5. Porter's Five Force Analysis
4.5.1. Bargaining Power Of Suppliers
4.5.2. Bargaining Power Of Buyers
4.5.3. Threat Of New Entrants
4.5.4. Threat Of Substitutes
4.5.5. Competitive Rivalry In The Industry
4.6. Life Cycle Analysis - Regional Snapshot
4.7. Market Attractiveness
5. CMOS Image Sensor Market By Technology
5.1. Front Side Illumination (Fsi)
5.2. Back Side Illumination (Bsi)
6. CMOS Image Sensor Market By Image Processing
7. CMOS Image Sensor Market By End User
7.1. Consumer Electronics
7.2. Security And Surveillance
7.5. Aerospace And Defense
8. CMOS Image Sensor Market By Geography
8.1. North America
8.2. South America
8.3.1. United Kingdom
8.4. Middle East And Africa
8.4.1. United Arab Emirates
8.4.3. Saudi Arabia
8.5. Asia Pacific
8.5.4. South Korea
9. Competitive Intelligence
9.1. Competitive Benchmarking And Analysis
9.2. Recent Investment And Deals
9.3. Strategies Of Key Players
10. Company Profiles
10.1. Sony Semiconductor Solutions Corporation
10.3. Omnivision Technologies, Inc.
10.4. On Semiconductor
10.6. Sk Hynix Inc.
10.7. Sharp Corporation
10.8. Panasonic Corporation
10.10. Fujifilm Corporation
- Sony Semiconductor Solutions Corporation
- Samsung Electronics
- OmniVision Technologies, Inc.
- ON Semiconductor
- SK Hynix Inc.
- Sharp Corporation
- Panasonic Corporation
- Fujifilm Corporation
The research study is based on the publisher's proprietary research model. The process involves sourcing of information from various industry experts, key professionals, decision-makers and various other stakeholders along with the validation of the responses received from the vast in-house database and premium paid databases. Publicly available sources were also taken into consideration for the final market estimates and forecast for the segments and sub-segments.
The first phase of the research process is the identification of key industry leaders, experts, decision-makers and C-level executives and then conducting interviews and surveys to gain vital insights about the market. Simultaneously, extensive secondary research is done, and key secondary data is collected as part of this process. This secondary data is collected from various databases, industry journals, whitepapers, company annual reports, research publications, and other paid data sources and relevant literature. Company profiles which include strategies, new product developments, recent investments, major products and services, financials and business plans are sourced from the annual reports, SEC filings, industry associations to preserve the quality of the information being displayed. The findings from both the primary and the secondary research process combined go under further processing for market breakdown and forecasting.
The last phase is providing intelligence in the form of presentation, charts, graphics and other different formats helping the clients in a faster and efficient understanding of the market. Under this phase complete market engineering is involved which includes analyzing the collected data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting. The publisher has developed their market forecasting methodology that, in addition to the main market values, also takes into account other macroeconomic factors (global or local) that might have some bearing on the market under study. Taking all the necessary data, a robust forecast is developed using an algorithm that involves both static (multivariate) as well as dynamic (time-series) regression analysis. Special care is taken to make sure their algorithm passes the necessary statistical tests, and the mean prediction for future years obtained is reliable with a very high confidence level. Following data validation, the analysts begin to write the report presenting insights with the help of charts, graphs, and tables.