Facial Recognition Using Edge Computing Market Research Report by Device Type, Component, Application, Region – Global Forecast to 2026
Facial Recognition Using Edge Computing Market Research Report By Device Type (Integrated & Standalone), By Component (Hardware, Services & Software), By Application, By Region (Americas, Asia Pacific & Europe, Middle East & Africa) – Global Forecast to 2026 – Cumulative Impact of COVID-19
New York, 08 Oct 2021 (GLOBE NEWSWIRE) – Reportlinker.com announces the publication of the report “Face Recognition using Edge Computing Market Research Report by Device Type, by Component, by Application, by Region – Global Forecast to 2026 – Cumulative Impact of COVID-19 “- https://www.reportlinker.com/p06169311/?utm_source=GNW
The global facial recognition using edge computing market size was estimated to be $ 937.84 million in 2020 and is expected to reach $ 1,125.58 million in 2021, at a CAGR of 20.35% for reach $ 2,850.79 million by 2026.
The report provides market size and forecast in five major currencies – USD, EUR GBP, JPY and AUD. It helps organizational leaders make better decisions when currency data is readily available. In this report, the years 2018 and 2019 are considered as historical years, 2020 as the base year, 2021 as the estimated year and the years 2022 to 2026 are considered as the forecast period.
Market segmentation and coverage:
This research report categorizes Facial Recognition Using Edge Computing to forecast revenue and analyze trends in each of the following submarkets:
Depending on the type of device, the market was studied in integrated and stand-alone mode.
On the basis of components, the market has been studied in terms of hardware, services and software.
Based on the application, the market has been studied in the areas of access control, advertising, attendance tracking and surveillance, e-learning, emotion recognition, l law enforcement, payments and robotics.
Based on the region, the market has been studied across the Americas, Asia-Pacific and Europe, the Middle East and Africa. The Americas are further explored in Argentina, Brazil, Canada, Mexico, and the United States. The United States is studied in more detail in California, Florida, Illinois, New York, Ohio, Pennsylvania and Texas. Asia-Pacific is further explored in Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan and Thailand. Europe, the Middle East and Africa are studied in more detail in France, Germany, Italy, the Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates and United Kingdom.
Cumulative impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected nearly every industry, and the long-term effects are expected to impact the growth of the industry during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of the underlying issues of COVID-19 and potential pathways to follow. The report provides insight on COVID-19 considering changes in consumer behavior and demand, purchasing patterns, supply chain diversion, dynamics of current market forces, and significant government interventions . The updated study provides information, analysis, estimates and forecasts, considering the impact of COVID-19 on the market.
Competitive strategic window:
The Competitive Strategy Window analyzes the competitive landscape in terms of markets, applications and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for suppliers to adopt successive strategies of merger and acquisition, geographic expansion, research and development, and new product introduction strategies to continue the expansion and growth of the business during a forecast period.
FPNV positioning matrix:
FPNV Positioning Matrix assesses and ranks vendors in facial recognition using edge computing market based on business strategy (company growth, industry coverage, financial viability, and customer support channels) and product satisfaction (value for money, ease of use, product features, and customer support) that helps companies make better decisions and better understand the competitive landscape.
Market share analysis:
The market share analysis offers the analysis of the suppliers considering their contribution to the overall market. It provides the idea of its revenue generation in the overall market compared to other space providers. It provides insight into the performance of vendors in terms of revenue generation and customer base compared to others. Knowing the market share gives an idea of the size and competitiveness of the suppliers for the base year. It reveals the characteristics of the market in terms of traits of accumulation, fragmentation, dominance and fusion.
The competitive scenario provides a outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section delivers valuable insights at different stages while staying up to date with the business and engaging stakeholders in the economic debate. The competitive scenario represents press releases or news from companies categorized into M&A, Agreement, Collaboration and Partnership, New Product Launch and Improvement, Investment and Funding, and Reward, Recognition and Expansion. All the information gathered helps the supplier to understand the market gaps and the strengths and weaknesses of the competitors, thus providing information to improve products and services.
Company usability profiles:
The report deeply explores the significant recent developments of leading vendors and innovation profiles in the Global Facial Recognition Using Edge Computing Market including Alphabet, Inc., Apple, Inc., Applied Brain Research , Arm Holdings, Cadence Design Systems, Inc., Horizon Robotics, Huawei Technologies Co., Ltd., IDEMIA, Mediatek, Inc., Micron Technology, Microsoft Corporation, NVIDIA Corporation, Qualcomm Incorporated, Samsung Electronics and Xilinx, Inc ..
The report provides information on the following pointers:
1. Market penetration: provides comprehensive information on the market offered by the major players
2. Market Development: Provides detailed information on lucrative emerging markets and analyzes penetration into mature market segments.
3. Market diversification: provides detailed information on new product launches, untapped geographies, recent developments and investments
4. Competitive Assessment and Intelligence: Provides a comprehensive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape and manufacturing capabilities of key players
5. Product Development and Innovation: Provides intelligent information on future technologies, R&D activities and breakthrough product developments
The report answers questions such as:
1. What is the market size and forecast for the global facial recognition using edge computing market?
2. What are the inhibitory factors and impact of COVID-19 shaping the global Facial Recognition Using Edge Computing Market during the forecast period?
3. What are the products / segments / applications / areas to invest in during the forecast period in the Global Facial Recognition Using Edge Computing Market?
4. What is the competitive strategic window for opportunities in the Global Facial Recognition Using Edge Computing Market?
5. What are the technological trends and regulatory frameworks in the global facial recognition using edge computing market?
6. What is the market share of major vendors in the global facial recognition using edge computing market?
7. What strategic fashions and moves are considered appropriate for entering the global facial recognition market using Edge Computing?
Read the full report: https://www.reportlinker.com/p06169311/?utm_source=GNW
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