Artificial Intelligence
GSI Technology, Inc. Reports First Quarter Fiscal 2023 Results
SUNNYVALE, Calif., July 28, 2022 (GLOBE NEWSWIRE) — GSI Technology, Inc. (NASDAQ: GSIT) today reported financial results for its first fiscal quarter ended June 30, 2022.
Summary Financial Results Table (in thousands, except per share amounts)
| Three Months Ended | ||||||
| June 30, 2022 | March 31, 2022 | June 30, 2021 | ||||
| Net revenues | $8,909 | $8,731 | $8,791 | |||
| Gross margin (%) | 60.2 | % | 58.6 | % | 54.4 | % |
| Operating expenses | $9,307 | $8,059 | $9,143 | |||
| Operating loss | ($3,942 | ) | ($2,943 | ) | ($4,361 | ) |
| Net loss | ($3,976 | ) | ($3,011 | ) | ($4,209 | ) |
| Net loss per share, diluted | ($0.16 | ) | ($0.12 | ) | ($0.17 | ) |
Lee-Lean Shu, Chairman and Chief Executive Officer, commented, “Our legacy SRAM business remains stable and continues to fund our APU hardware and software R&D. In the first quarter of fiscal 2023, our gross profit increased by 12% on modest revenue growth compared to the first quarter of fiscal 2022. The rise in gross margin to 60.2% reduced our operating loss from the same quarter a year ago, and, as a result, we narrowed our net loss for the quarter.”
“The team continues to advance APU opportunities on several fronts. Searchium.ai, our SaaS platform that runs on our LEDA boards, is expected to be launched in August for alpha users and is on-track to go live later in calendar 2022. Searchium.ai accelerates Elasticsearch and OpenSearch workloads by 6x and can scale to a billion-vector dataset without losing accuracy. The platform also offers fast vector search, providing high-speed, accurate searches of large vectorized databases of text, images, video and audio. In addition, our pipeline of defense and military POCs and engagements continues to grow. Currently, we have numerous early-stage projects that are in the initial discussions phase. Several of the larger opportunities are with new contacts that arose from our first place win in the MoSIAC challenge.”
“Our current expectations for the second fiscal quarter are net revenues in a range of $8.5 million to $9.5 million, with gross margin of approximately 61% to 63%. We maintain an attractive balance sheet with a surplus of cash and no debt.”
First Quarter Fiscal Year 2023 Summary Financials
The Company reported a net loss of $(4.0 million), or $(0.16) per diluted share, on net revenues of $8.9 million for the first quarter of fiscal 2023, compared to a net loss of $(4.2 million), or $(0.17) per diluted share, on net revenues of $8.8 million for the first quarter of fiscal 2022 and a net loss of $(3.0 million), or $(0.12) per diluted share, on net revenues of $8.7 million for the fourth quarter of fiscal 2022.
Gross margin in the first quarter of fiscal 2023 was 60.2%, compared to 54.4% in the prior year quarter and 58.6% in the preceding fourth quarter. The improvement in gross margin was primarily due to changes in product mix sold in the quarter compared to prior periods.
In the first quarter of fiscal 2023, sales to Nokia were $1.3 million, or 14.7% of net revenues compared to $3.8 million, or 42.7% of net revenues, in the same period a year ago and $2.0 million, or 23.1% of net revenues in the prior quarter. First quarter fiscal 2022 net revenues included orders for buffer stock shipped to Nokia amounting to approximately $1.1 million that were made in anticipation of continued market tightness.
Military/defense sales were 22.3% of first quarter shipments compared to 20.0% of shipments in the comparable period a year ago and 22.3% of shipments in the prior quarter. SigmaQuad sales were 44.8% of first quarter shipments compared to 63.6% in the first quarter of fiscal 2022 and 47.6% for the previous quarter.
Total operating expenses in the first quarter of fiscal 2023 were $9.3 million, compared to $9.1 million in the first quarter of fiscal 2022 and $8.1 million in the prior quarter. Research and development expenses were $6.6 million, compared to $6.1 million in the prior year period and $6.5 million in the prior quarter. Selling, general and administrative expenses were $2.7 million in the quarter ended June 30, 2022, compared to $3.0 million for the previous year quarter and $1.5 million in the previous quarter.
First quarter fiscal 2023 operating loss was $(3.9 million) compared to $(4.4 million) in the prior year period and $(2.9 million) in the prior quarter.
First quarter fiscal 2023 net loss included interest and other expense of $26,000 and a tax provision of $60,000, compared to interest and other expense of $(20,000) and a tax benefit of $(172,000) in the prior year. In the preceding fourth quarter, net loss included interest and other expense of $(47,000) and a tax provision of $21,000.
Total first quarter pre-tax stock-based compensation expense was $638,000 compared to $823,000 in the comparable quarter a year ago and $714,000 in the prior quarter.
At June 30, 2022, the Company had $41.5 million in cash, cash equivalents, and short-term investments and $875,000 in long-term investments, compared to $44.0 million in cash, cash equivalents, and short-term investments and $3.3 million in long-term investments at March 31, 2022. Working capital was $44.8 million as of June 30, 2022, versus $45.8 million at March 31, 2022, with no debt. As of June 30, 2022, stockholders’ equity was $61.3 million compared to $64.5 million as the fiscal year ended March 31, 2022.
Conference Call
GSI Technology will review its financial results for the quarter ended June 30, 2022 and discuss its current business outlook during a conference call at 1:30 p.m. Pacific (4:30 p.m. Eastern) today, July 28, 2022. To listen to the teleconference, please call toll-free 1-877-407-3982 in the U.S. or 1-201-493-6780 for international approximately 10 minutes before the above start time and provide Conference ID 13731441. You may also listen to the teleconference live via the Internet at www.gsitechnology.com, where it will be archived.
About GSI Technology
Founded in 1995, GSI Technology, Inc. is a leading provider of semiconductor memory solutions. GSI’s resources are focused on bringing new products to market that leverage existing core strengths, including radiation-hardened memory products for extreme environments and Gemini-I, the associative processing unit designed to deliver performance advantages for diverse artificial intelligence applications. GSI Technology is headquartered in Sunnyvale, California, and has sales offices in the Americas, Europe, and Asia. For more information, please visit www.gsitechnology.com.
Forward-Looking Statements
The statements contained in this press release that are not purely historical are forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding GSI Technology’s expectations, beliefs, intentions, or strategies regarding the future. All forward-looking statements included in this press release are based upon information available to GSI Technology as of the date hereof, and GSI Technology assumes no obligation to update any such forward-looking statements. Forward-looking statements involve a variety of risks and uncertainties, which could cause actual results to differ materially from those projected. These risks include those associated with the normal quarterly and fiscal year-end closing process. Examples of risks that could affect our current expectations regarding future revenues and gross margins include those associated with fluctuations in GSI Technology’s operating results; GSI Technology’s historical dependence on sales to a limited number of customers and fluctuations in the mix of customers and products in any period; global public health crises that reduce economic activity (including the ongoing COVID-19 global pandemic and the governmental and regulatory actions relating thereto); the rapidly evolving markets for GSI Technology’s products and uncertainty regarding the development of these markets; the need to develop and introduce new products to offset the historical decline in the average unit selling price of GSI Technology’s products; the challenges of rapid growth followed by periods of contraction; intensive competition; and delays or unanticipated costs that may be encountered in the development of new products based on our in-place associative computing technology and the establishment of new markets and customer and partner relationships for the sale of such products. Many of these risks are currently amplified by and will continue to be amplified by, or in the future may be amplified by, the COVID-19 global pandemic. Further information regarding these and other risks relating to GSI Technology’s business is contained in the Company’s filings with the Securities and Exchange Commission, including those factors discussed under the caption “Risk Factors” in such filings.
Source: GSI Technology, Inc.
Company
GSI Technology, Inc.
Douglas M. Schirle
Chief Financial Officer
408-331-9802
Investor Relations
Hayden IR
Kim Rogers
Managing Director
385-831-7337
[email protected]
Media Relations
Finn Partners for GSI Technology
Ricca Silverio
(415) 348-2724
[email protected]
| GSI TECHNOLOGY, INC. | |||||||||
| CONDENSED CONSOLIDATED STATEMENTS OF OPERATIONS | |||||||||
| (in thousands, except per share data) | |||||||||
| (Unaudited) | |||||||||
| Three Months Ended | |||||||||
| June 30, | March 31, | June 30, | |||||||
| 2022 | 2022 | 2021 | |||||||
| Net revenues | $8,909 | $8,731 | $8,791 | ||||||
| Cost of goods sold | 3,544 | 3,615 | 4,009 | ||||||
| Gross profit | 5,365 | 5,116 | 4,782 | ||||||
| Operating expenses: | |||||||||
| Research & development | 6,619 | 6,510 | 6,103 | ||||||
| Selling, general and administrative | 2,688 | 1,549 | 3,040 | ||||||
| Total operating expenses | 9,307 | 8,059 | 9,143 | ||||||
| Operating loss | (3,942 | ) | (2,943 | ) | (4,361 | ) | |||
| Interest and other income, net | 26 | (47 | ) | (20 | ) | ||||
| Loss before income taxes | (3,916 | ) | (2,990 | ) | (4,381 | ) | |||
| Provision (benefit) for income taxes | 60 | 21 | (172 | ) | |||||
| Net loss | ($3,976 | ) | ($3,011 | ) | ($4,209 | ) | |||
| Net loss per share, basic | ($0.16 | ) | ($0.12 | ) | ($0.17 | ) | |||
| Net loss per share, diluted | ($0.16 | ) | ($0.12 | ) | ($0.17 | ) | |||
| Weighted-average shares used in | |||||||||
| computing per share amounts: | |||||||||
| Basic | 24,523 | 24,484 | 24,095 | ||||||
| Diluted | 24,523 | 24,484 | 24,095 | ||||||
| Stock-based compensation included in the Condensed Consolidated Statements of Operations: | |||||||||
| June 30, | March 31, | June 30, | |||||||
| 2022 | 2022 | 2021 | |||||||
| Cost of goods sold | $60 | $56 | $70 | ||||||
| Research & development | 351 | 372 | 470 | ||||||
| Selling, general and administrative | 227 | 286 | 283 | ||||||
| $638 | $714 | $823 | |||||||
| GSI TECHNOLOGY, INC. | |||||
| CONDENSED CONSOLIDATED BALANCE SHEETS | |||||
| (in thousands) | |||||
| (Unaudited) | |||||
| June 30, 2022 | March 31, 2022 | ||||
| Cash and cash equivalents | $33,533 | $36,971 | |||
| Short-term investments | 7,928 | 6,992 | |||
| Accounts receivable | 4,309 | 4,518 | |||
| Inventory | 4,780 | 4,655 | |||
| Other current assets | 1,809 | 1,555 | |||
| Net property and equipment | 7,234 | 7,359 | |||
| Long-term investments | 875 | 3,345 | |||
| Other assets | 11,201 | 11,027 | |||
| Total assets | $71,669 | $76,422 | |||
| Current liabilities | $7,569 | $8,861 | |||
| Long-term liabilities | 2,835 | 3,110 | |||
| Stockholders’ equity | 61,265 | 64,451 | |||
| Total liabilities and stockholders’ equity | $71,669 | $76,422 | |||
Artificial Intelligence
Dark Fiber Market Size to Grow USD 7594 Million by 2030 at a CAGR of 9.09% | Valuates Reports
BANGALORE, India, Oct. 7, 2024 /PRNewswire/ — Dark Fiber Market is Segmented by Type (Single-Mode, Multi-Mode), by Application (Telecom, Oil & Gas, BFSI, Military & Defense, Medical, Railway, Others): Global Opportunity Analysis and Industry Forecast, 2024-2030.
The Global Dark Fiber Market was valued at USD 4475 million in 2023 and is anticipated to reach USD 7594 million by 2030, witnessing a CAGR of 9.09% during the forecast period 2024-2030.
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Major Factors Driving the Growth of Insect Dark Fiber Market:
The dark fiber market is experiencing robust growth due to the increasing demand for high-speed internet, data transfer, and secure communication infrastructure across various industries. Dark fiber refers to unused fiber-optic cables that are available for lease or purchase, allowing enterprises and service providers to establish private networks with dedicated bandwidth. The surge in data consumption, driven by cloud computing, 5G deployment, data centers, and IoT, has intensified the need for scalable and high-capacity networks, which dark fiber can provide. Additionally, sectors like telecom, IT, and healthcare are adopting dark fiber solutions to ensure better connectivity, network control, and security.
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TRENDS INFLUENCING THE GROWTH OF THE DARK FIBER MARKET
Single-mode fiber plays a crucial role in driving the growth of the dark fiber market due to its ability to support long-distance communication with minimal signal degradation. This fiber type offers high bandwidth and superior performance, making it ideal for telecommunication companies and data centers that require efficient transmission over extensive networks. The rapid increase in data consumption, driven by emerging technologies like 5G, cloud computing, and IoT, has intensified the demand for single-mode fiber. Its cost-effectiveness for long-haul applications further enhances its adoption, as it allows for higher transmission speeds and capacities over longer distances, making it a preferred choice for large-scale network expansion projects.
Multi-mode fiber is a key driver in the dark fiber market due to its efficiency in short-distance data transmission. Multi-mode fibers are particularly effective for data centers and intra-building communication networks where the focus is on high-speed connections over shorter distances. The demand for electric dark fiber, especially in urban infrastructure and renewable energy projects, has surged as these sectors require reliable, high-capacity data transfer solutions. Multi-mode fiber’s cost-effective installation and maintenance, along with its ability to handle high bandwidth over shorter distances, contribute significantly to the market’s growth, providing a reliable infrastructure for electric utilities and smart grid projects.
Telecom is one of the most significant sectors driving the growth of the dark fiber market due to the increasing demand for high-speed internet, large-scale network deployments, and seamless communication infrastructure. The rapid expansion of 5G networks, the need for backhaul connections, and the proliferation of data-intensive applications have all contributed to the growing adoption of dark fiber in the telecom industry. Telecom providers are leveraging dark fiber to reduce latency, enhance scalability, and increase network efficiency, which are critical for delivering enhanced customer experiences and supporting emerging digital services. As telecom networks continue to expand globally, the demand for dark fiber infrastructure is expected to rise.
One of the primary factors driving the growth of the dark fiber market is the exponential surge in global data consumption. With the widespread use of smartphones, connected devices, and the internet, data traffic has increased significantly. Streaming services, online gaming, video conferencing, and cloud computing are all fueling this growth. Dark fiber infrastructure is essential to accommodate this massive data flow, offering the bandwidth and capacity required to support such intensive usage. As businesses and consumers continue to generate more data, service providers rely on dark fiber networks to ensure faster, more reliable connections and to meet the growing demands for data transmission.
The growing adoption of cloud services by enterprises is another critical factor contributing to the growth of the dark fiber market. As businesses migrate their operations and data storage to the cloud, there is an increased need for high-speed, low-latency networks that can handle large volumes of data transmission. Dark fiber provides the necessary infrastructure for private, scalable, and secure network connectivity to the cloud. Enterprises across various industries, including healthcare, finance, and retail, are leveraging dark fiber to ensure seamless access to cloud applications, thus driving market growth. The continued shift toward cloud computing will likely increase demand for dark fiber solutions.
The rapid expansion of data centers worldwide is significantly boosting the dark fiber market. Data centers serve as critical hubs for storing and managing vast amounts of information. To ensure smooth operation, data centers require high-capacity, reliable, and secure fiber-optic networks. Dark fiber networks provide data centers with dedicated, high-performance connectivity, allowing them to scale their operations efficiently. The growth of edge computing and the need for real-time data processing have further intensified the demand for dark fiber connections in data centers. As the number of data centers grows, particularly in emerging markets, the need for dark fiber infrastructure will continue to rise.
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DARK FIBER MARKET SHARE ANALYSISThe dark fiber market shows varying growth trends across different regions, driven by factors like technological advancements and infrastructure investments. North America leads the market due to the rapid expansion of 5G networks, cloud computing adoption, and increasing data center construction. Europe follows closely, with countries investing in high-speed connectivity for smart cities and telecommunications. The Asia-Pacific region is witnessing significant growth, particularly in China, Japan, and India, driven by increased demand for internet services, telecom expansion, and government initiatives supporting digital infrastructure. Meanwhile, Latin America and the Middle East are also emerging as potential markets, propelled by growing data consumption and the need for improved connectivity in underdeveloped areas.
Key Players:
GTT CommunicationsUFINETVikram GroupDEPLUnite Private NetworksSterlite PowerColt Technology ServicesConsolidated CommunicationsCrown CastleNexGen NetworksSorrento NetworksFirstLightMicroscanWindstream Intellectual Property ServicesPurchase Chapters: https://reports.valuates.com/market-reports/QYRE-Auto-8O16959/global-dark-fiber/1
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Artificial Intelligence
AI Governance Market worth $5,776.0 million by 2029- Exclusive Report by MarketsandMarkets™
DELRAY BEACH, Fla., Oct. 7, 2024 /PRNewswire/ — The AI Governance Market is anticipated to grow from USD 890.6 million in 2024 to USD 5,776.0 million by the year 2029 at a robust CAGR of 45.3% over the forecast period, according to a new report by MarketsandMarkets™.
Browse in-depth TOC on “AI Governance Market”
350 – Tables 50 – Figures450 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2019–2029
Base year considered
2023
Forecast period
2024–2029
Forecast units
USD (Million)
Segments covered
Product Type, Functionality, End User, and Region
Geographies covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies covered
Microsoft (US), IBM (US), Google (US), Salesforce (US), SAP (Germany), AWS (US), SAS Institute (US), FICO (US), Accenture (Ireland), Qlik (US), H2O.AI (US), Alteryx (US), DataRobot (UK), Dataiku (US), Domino Data Lab (US), SparkCognition (US), Collibra (US), OneTrust (US), Quest Software (US), Fiddler AI (US), Untangle AI (Singapore), 2021.AI (Denmark), Howso (US), Monitaur (US), Mind Foundry (UK), Credo AI (US), Holistic AI (UK), Fairly AI (Canada), Enzai (UK), ValidMind (US), FairNow (US), Mona Labs (US), Arthur AI (US), Trustible (US), Atlan (Singapore), ModelOp (US), Neptune AI (Poland), Patronus AI (US), and Datatron (US).
Regulatory pressure and demands for compliance are driving the AI Governance Market as governments around the world roll out tougher regulations related to AI. For example, the European Union’s AI Act had subjected risk assessments and compliance audits to AI systems, particularly in high-risk sectors like health and finance, thereby increasing demand for the governance framework. Organizations also run the risk of facing reputational damages linked with prejudiced or harmful AI output. A notable example is the controversy caused by OpenAI GPT models, which flagged misinformation and biased data concerns, making businesses adopt robust AI guard rails. On similar note, Amazon’s discontinuation of its biased AI recruiting tool demonstrate the reputational and financial risks of ungoverned AI. Another major reason for market expansion is the uptick in AI adoption across highly regulated industries, especially BFSI and healthcare. Industries operating in these sectors are under immense regulatory pressure to comply with dynamic regulations, leading to increased affinity towards AI governance tools.
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By product type, data governance tools will account for largest market share in 2024 owing to robust data provenance and lineage capabilities.
Data governance tools are poised to account for the largest market share in the AI Governance Market, as these tools help an organization track data quality, provenance, and bias within AI development training data. This is important in order to prevent bias results being generated from AI systems. For example, data governance tools may apply profiling techniques to the dataset in order to ensure fairness, and also put in place data lineage to indicate potential problems with data sourcing. As an increasing number of AI regulations call for documentation, tracking and record keeping especially on the data that feeds AI systems, data governance has become paramount. Data governance also assists enterprises in compliance with regulations through robust AI data traceability and accuracy. Additionally, the metadata repository feature in data governance tools offer centralized catalogs and controls of metadata for data visibility across an organization to ensure trustworthy and responsible AI implementation.
The demand for ethical AI use across ML platforms and generative AI models will push software & technology providers as the fastest growing end user segment during the forecast period
Software & technology providers are poised to become the fastest growing end user segment in the AI Governance Market, buoyed by rapid adoption of AI governance tools to make their AI systems trustworthy and ethical. The rising regulatory scrutiny and the expanding reach of data privacy laws like GDPR and CCPA has also accelerated governance frameworks being adopted across such players. For instance, Microsoft has created an internal AI ethics working group to implement strong ethical guardrails across its AI offerings. On a similar note, Google has formed AI governance framework for developing fair, explainable, and ethical AI solutions. There are also expectations from stakeholders who demand that technology companies create AI responsibly. With AI regulations likely to disrupt every software vendor, incorporating ethical norms and regulation is now of extraordinary importance for technology businesses to maintain the brand’s trust and growth.
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North America is set to hold the largest market share in 2024, fueled by a strong regulatory environment and increasing investments in responsible AI deployment
North America has emerged as the largest regional market for AI government adoption. Federal funding on AI governance in North America crossed USD 1 billion in 2023, indicating a growing interest in responsible AI research. Industries with strict regulations such as healthcare and banking are leading in the implementation of governance, with 45% of healthcare providers mentioning regulatory compliance as a key business requirement. Businesses are forced to implement governance frameworks due to rising regulatory requirements like NIST’s AI Risk Management Framework and the California Consumer Privacy Act (CCPA). More than half of businesses expect more stringent AI rules in the next five years, with 62% citing data privacy compliance as a main factor for implementing governance. Also important is consumer confidence, as 78% of American consumers favor brands that utilize ethical AI. Businesses such as Google and Microsoft are implementing governance to guarantee transparency and establish trust. Additionally, organizations are prioritizing fairness in their AI systems and have turned to tools like IBM’s AI Fairness 360 to address the need to mitigate AI bias, with 56% of businesses doing so. Moreover, financial institutions are particularly focused on risk management, giving priority to governance for addressing AI-related risks.
Top Key Companies in AI Governance Market:
The major players in the AI Governance Market include Microsoft (US), IBM (US), SAS Institute (US), DataRobot (UK), and Dataiku (US), along with SMEs and startups such as Fiddler AI (US), 2021.AI (Denmark), Monitaur (US), Credo AI (US), and Fairly AI (Canada).
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Artificial Intelligence
Access Control as a Service (ACaaS) Market worth $3.06 billion by 2029 – Exclusive Report by MarketsandMarkets™
DELRAY BEACH, Fla., Oct. 7, 2024 /PRNewswire/ — The global access control as a service market is expected to be valued at USD 1.34 billion in 2024 and is projected to reach USD 3.06 billion by 2029; it is expected to grow at a CAGR of 17.9% from 2024 to 2029 according to a new report by MarketsandMarkets™. Accelerated urbanization in emerging markets is fueling the demand for advanced access control solutions. Growing adoption of cloud-based Access Control as a Service (ACaaS) is transforming security management systems. Increasing integration of access control systems with employee management and HR platforms is enhancing operational efficiency in the access control as a service market. Increasing shift toward subscription-based business models is fostering recurring revenue streams for security service providers. Growing demand to manage global security operations from centralized locations is pushing the adoption of unified security platforms in the access control as a service market.
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Browse in-depth TOC on “Access Control as a Service (ACaaS) Market” 162 – Tables64 – Figures226 – Pages
Access Control as a Service (ACaaS) Market Report Scope:
Report Coverage
Details
Market Revenue in 2024
$ 1.34 billion
Estimated Value by 2029
$ 3.06 billion
Growth Rate
Poised to grow at a CAGR of 17.9%
Market Size Available for
2020–2029
Forecast Period
2024–2029
Forecast Units
Value (USD Million/Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered
By Service Type, Cloud Deployment Model, Vertical, and Region
Geographies Covered
North America, Europe, Asia Pacific, and Rest of World
Key Market Challenge
Unauthorized Access and Data Breach
Key Market Opportunities
Unauthorized Access and Data Breach
Key Market Drivers
Increased adoption of IoT-based security systems and cloud computing platforms
Commercial vertical to hold the highest market share during the forecast period.
Commercial vertical will account for the largest market share in the ACaaS market during the forecast period. This can be attributed to the increasing need for secure access management solutions across commercial buildings, offices, and retail spaces. Scalability, cost-effectiveness, and even remote access management abilities are making cloud-based ACaaS increasingly attractive within this segment. With increasing urbanization and infrastructure development, coupled with the trend of smart buildings, demand for advanced security systems is rising in the commercial segment, which is further basing its strength in the ACaaS market.
By Service Type, Hybrid segment is projected to grow at a high CAGR of Acalas industry during the forecast period.
A hybrid access control service may be marked as a combination of both hosted and managed access control. In this type of access control, a certain part of the access control system is handled by the end user while the rest of the function is outsourced to a third-party vendor. In this model, permissions are not directly associated with the attributes or the roles. In dynamic role assignment, roles are assigned to users based on the attributes provided by the user, which are then adopted for authentication purposes. Once the roles are assigned, authorization starts whereby the user is granted access based on the assigned roles. The hybrid access control service will act as a catalyst in driving better threat visibility, rapid and effective attack response, minimizing cyber security risks, and being compliant with the latest regulations and standards.
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Asia Pacific will account for the highest CAGR during the forecast period.
In Asia Pacific, China is amongst the largest countries in the world and one of the largest manufacturers and producers of industrial goods. Agaas has grown and developed immensely in the recent years as, to address margin-related issues that Chinese suppliers have been causing, lately manufacturers are adopting cloud-based solutions. The large-scale industrialization of the country has given birth to the growing need for security systems. Thirdly, consistent R &D expense resulted in the innovation of highly sophisticated systems that can meet the diversified user needs. In government sectors, access control system had been employed to raise security measures and take instantaneous action against looming threats. AcaaS – The software and data are retained at vast data centres instead of being retained locally on on-premises servers. Hardware systems remain the same, similar to those in an access control system. Hence, Acaas save the operational costs of institutions considerably with no compromise on the standards of security. In residential areas too, the demand for Acaas is tremendous, thanks to the ever-growing requirement of securing personal properties.
Key Players
Key companies operating in the ACaaS companies are Johnson Controls Inc. (Ireland), Honeywell International Inc. (US), Thales (France), ASSA ABLOY Group (Sweden), dormakaba Group (Switzerland), Identiv, Inc. (US), Kastle Systems (US), AMAG (US), Brivo Systems, LLC. (US), and Cloudastructure Inc. (US) among others.
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Browse Adjacent Market: Semiconductor and Electronics Market Research Reports &Consulting
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