The global software-defined camera market is expected to reach USD 20,567.1 million in 2021. Demand for the market is estimated to rise at an astronomical CAGR of 14.0% from 2021 to 2031. Further, the software-defined camera market analysis forecasts the market to surge to USD 70,304.9 million by the end of the year 2031.
Global Software-Defined Camera (SDC) Industry Assessment
| Attributes | Key Insights |
|---|---|
| Historical Size, 2020 | USD 18,167.8 million |
| Estimated Size, 2021 | USD 20,567.1 million |
| Projected Size, 2031 | USD 70,304.9 million |
| Value-based CAGR (2021 to 2031) | 14.0% |
The concept of a Software-Defined Camera (SDC) has a big impact in the way imaging technology is designed, developed, and utilized. Traditionally, cameras were hardware devices with fixed functions, controlled by physical parts like lenses, sensors, and processors.
But SDCs go beyond these limits. In these cameras, software control, change, and improve most camera functions. This approach allows flexibility and customization in image processing and analysis.
SDCs are important as they are able to adapt to new applications without needing new hardware. For example, the software can be updated to serve for different purposes. It could get better at taking pictures in the dark, improve image stability, or even enable advanced computational photography techniques like HDR or depth mapping.
This ability to change makes SDCs are quite useful in fields like autonomous cars, robots, and smart security cameras.
SDCs have an influence on quick innovation and development cycles, as software updates can be rolled out much faster and cheaper than hardware changes. This is key in a fast-moving tech scene where the ability to refine and boost functionality can give a big edge over competitors.
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With increasing competition and advancement in technologies in the market, vendors are trying new product enhancements to gain competitive advantage. Increasing strictness in traffic rules, rise in the incidences of criminal activities, and rapid growth in population are also estimated to boost the demand for software-defined cameras during the forecast period.
Furthermore, cloud-based technologies and big data offer an open video surveillance platform. Advancements in technologies, such as Internet of Things (IoT), machine learning, and artificial intelligence, are estimated to create lucrative growth opportunities for software-defined camera over the coming years.
Also, theft issues and increasing concerns about security are some of the major factors driving the sales of software-defined cameras on a global level.
Artificial intelligence, with its two popular components, deep learning and machine learning, is already driving innovation by offering improved data and business intelligence. When used in video surveillance, deep learning could speed up investigations by allowing rule-based alerts based on behavior or particular objects, and search and filter based on specific criteria.
Significant achievements have been seen in improving accuracy, increasing the granularity, and diversifying metadata, that would enable surveillance systems to ensure better security. It is believed among top market players that the Covid-19 pandemic has accelerated a trend that was already happening, and more and more security related video analytics applications are being developed.
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Owing to rising communal violence, crime rate, and terrorism related activities, the software-defined camera sales in India has observed a remarkable growth. In addition to the increasing demand in government projects and industrial development, software-defined cameras are also being heavily installed in residences, transportation sector, and commercial establishments.
Also, ongoing government projects such as educational reforms, smart cities, and citywide surveillance have further fueled the demand for highly impactful software-defined cameras.
Further, several state governments across the country have ordered the installation of surveillance solutions at quarantine centers and public places to help keep the track of COVID-19 guidelines being followed. This has majorly impacted the demand for software-defined camera within the country in a positive way.
The software-defined camera market in North America is projected to offer the most lucrative opportunity for revenue generation over the forecast period, owing to the increasing investments for the security & surveillance, and growing demand for IP/network based CCTV systems.
Organizations in this region are experiencing increase in security information monitoring (SIM) and security event monitoring (SEM) to improve alerting mechanisms or to manually identify security incidents.
Additionally, shift towards software-defined cameras from traditional standard cameras and rising demand for installment projects in North America is expected to augment the software-defined camera demand outlook in the region during the period under review.
Furthermore, increasing need for asset management and growing adoption of automated technologies are anticipated to drive the demand for software-defined cameras in the near future.
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Some of the leading manufacturers of software-defined cameras include
The above-mentioned players rely on various expansion strategies to make its presence across lucrative markets. These strategies include collaborations with key players, product launches, acquisitions, partnerships and enhancement of distribution networks at regional and global levels.
For instance, in October 2019, Bosch and Convergint collaborated with an aim to introduce cities and municipalities with advanced video analytics technology, in order to integrate intelligence with their infrastructure. The technology exists in Bosch’s IP cameras to enable intelligent devices for smart parking solutions and smooth traffic flows.
The report is a compilation of first-hand information, qualitative and quantitative assessment by industry analysts, inputs from industry experts and industry participants across the value chain. The report provides in-depth analysis of parent market trends, macro-economic indicators and governing factors along with market attractiveness as per segments. The report also maps the qualitative impact of various market factors on market segments and geographies.
1. Executive Summary 2. Industry Introduction, including Taxonomy and Market Definition 3. Market Trends and Success Factors, including Macro-economic Factors, Market Dynamics, and Recent Industry Developments 4. Global Market Demand Analysis and Forecast, including Historical Analysis and Future Projections 5. Pricing Analysis 6. Global Market Analysis and Forecast 6.1. Camera Type 6.2. Application 6.3. End-Use Industry 7. Global Market Analysis and Forecast, By Camera Type 7.1. Box Camera 7.2. Dome Camera 7.3. Bullet Camera 7.4. PTZ Camera 7.5. Others 8. Global Market Analysis and Forecast, By Application 8.1. License Plate Recognition 8.2. Video Surveillance 8.3. Advanced Driver Assistance Systems (ADAS) 8.4. Facial Recognition 9. Global Market Analysis and Forecast, By End-Use Industry 9.1. Residential 9.2. Commercial 9.3. Banks & Financial Institutions 9.4. Academic Institutions 9.5. Transportation (Airports, Railways, Ports, Traffic Systems) 9.6. Corporate/Business Parks & Offices 9.7. Retail Complexes & Malls 9.8. Healthcare Facilities 9.9. Others 9.10. Industrial 9.11. Energy & Power Plants 9.12. Manufacturing Facilities 10. Global Market Analysis and Forecast, By Region 10.1. North America 10.2. Latin America 10.3. Europe 10.4. East Asia 10.5. South Asia & Pacific 10.6. Middle East & Africa 11. North America Sales Analysis and Forecast, by Key Segments and Countries 12. Latin America Sales Analysis and Forecast, by Key Segments and Countries 13. Europe Sales Analysis and Forecast, by Key Segments and Countries 14. East Asia Sales Analysis and Forecast, by Key Segments and Countries 15. South Asia & Pacific Sales Analysis and Forecast, by Key Segments and Countries 16. Middle East & Africa Sales Analysis and Forecast, by Key Segments and Countries 17. Sales Forecast by Camera Type, Application, and End-Use Industry for 30 Countries 18. Competition Outlook, including Market Structure Analysis, Company Share Analysis by Key Players, and Competition Dashboard 19. Company Profile 19.1. Bosch Security Systems, Inc. 19.2. Watec Co., Ltd. 19.3. Sony Corporation 19.4. Vivint, Inc. 19.5. Raptor Photonics Ltd. 19.6. Samsung Techwin Co., Ltd. 19.7. Flir Systems, Inc. 19.8. Huawei Technologies Co., Ltd. 19.9. SimpliSafe, Inc. 19.10. Canon Inc. 19.11. Panasonic Corporation 19.12. ADT Inc.
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Software-Defined Camera (SDC) Market
