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Artificial Intelligence

UC San Francisco and UC San Diego Join NIH “Bridge to Artificial Intelligence” Program

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SAN FRANCISCO, Sept. 13, 2022 (GLOBE NEWSWIRE) — Researchers at University of California San Diego and University of California San Francisco have been selected to lead components of the National Institutes of Health (NIH) Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program. Over the next four years, Bridge2AI will award $130 million to accelerate the widespread use of AI in biomedical research and health care.

Physicians and scientists have long recognized the potential of AI to help understand and treat disease, but its use in clinical and research settings remains limited. This is, in part, because AI tools cannot always be easily or appropriately applied to new datasets that were not organized for this type of analysis. Furthermore, most AI algorithms function as “black boxes” — when they reach a conclusion about something, no one knows exactly how or why that decision was made.

To address these issues, Bridge2AI will fund four Data Generation Projects to create comprehensive AI-ready datasets that will lay the groundwork for new, interpretable and trustworthy AI technologies. The four multi-site projects will be unified by the Bridge Center, an executive hub that oversees the integration, dissemination and evaluation of all Bridge2AI activities.

Trey Ideker, professor at UC San Diego School of Medicine, will serve as principal investigator for one of the Data Generation Projects and will work closely with Nevan Krogan, professor in the Department of Cellular & Molecular Pharmacology in the School of Medicine, senior investigator at Gladstone Institutes, and Director of the Quantitative Biosciences Institute; Andrej Sali, Professor in the Department of Bioengineering and Therapeutic Sciences at UCSF; Emma Lundberg, Professor of Bioengineering and Pathology at Stanford University; and Prashant Mali, Professor of Bioengineering at UC San Diego.

Cell Maps for AI

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Ideker, Krogan and collaborators are expected to receive nearly $20 million in the next four years to launch Cell Maps for AI, a research project designed to usher in a new era of precision medicine. The team envisions a future in which an AI algorithm could analyze a patient’s genome and decipher which disease they have, what stage they are in and which treatments are most likely to help. Importantly, they say the algorithm must be interpretable, such that a physician could point to the molecular and cellular pathways that inform its decisions.

“Once we understand the underlying biology, attacking the disease becomes so much more straightforward,” Krogan said. “We’re perfectly positioned to build this bridge from the genome to the clinic for a whole range of diseases.”

“It’s not enough for an algorithm to just take a complex set of mutations and decide what drug to give a patient if we don’t know why it’s making that choice,” said Ideker. “We may now have enough human genomes sequenced to power precision medicine, but what we don’t have yet is a clear map of cellular biology to interpret the data with.”

To address this, the project aims to map the structure and function of a human cell in its entirety, starting with the most basic cell type: the stem cell. The researchers will obtain induced pluripotent stem cells from a variety of genetic backgrounds and combine microscopy, biochemistry and computational tools to study their biology at multiple scales. The final product will be a comprehensive model of the cell, from genes and proteins to entire organelles and how they all work together. Once the stem cell has been modeled, they plan to use the same approach to model other cells, such as those that are dividing, differentiating or in various disease states.

Their goal is to eventually have a library of cell maps across many demographic and disease contexts, which can be used to train AI algorithms to make informed and interpretable decisions about human health.

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“The fact that we have nearly a decade of experience working together and generating cell maps for various disease states such as cancer, infectious diseases and psychiatric disorders gives us a head start. Armed with complete maps of how genes and proteins interact in human cells, we see how dozens of seemingly unrelated genes and proteins involved in a disease are in fact all part of the same interconnected biological pathway,” said Krogan.

“With Bridge2AI, we are not only generating unprecedented datasets, but also developing a system to do this work in an organized and ethical way, which will set the field up for future success,” Ideker said.

UCSF is expected to receive close to $4.5 million to work on specific data acquisition and tool development modules and activities. The Krogan lab will map the physical interactions of key chromatin modifiers involved in cancer, neuropsychiatric, and cardiac disorders to identify thousands of protein-protein interactions and provide an unprecedented wealth of mapping data to allow the construction of visible machine learning models with biomedical applications.

“I could not be more excited to join forces with Trey Ideker, Emma Lundberg, Nevan Krogan and others to develop and apply modeling methods that will bridge the gap between structural biology and systems biology. The project will provide us with an opportunity to learn about how best to combine statistical Bayesian modeling and machine learning, and to demonstrate the advantages of the resulting integrative modeling approach in the context of cancer biology,” said Andrej Sali.

An additional complementary lead PI, Emma Lundberg at Stanford University will map the spatial subcellular organization of key chromatin modifiers and metabolic enzymes involved in diseases using high throughput imaging to provide insights into the epigenetic regulation of cell identity as well as a comprehensive catalog of image data to inform AI/ML research.

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“Working with this very specific group of people enables the data we generate from imaging to be that much more precise. Using modern microscopy, we can generate such big data sets, while AI-assisted analysis makes us well equipped to efficiently and accurately analyze them,” said Emma Lundberg.

“There’s great value in looking at the big picture,” Krogan said. “It makes these analyses exponentially more powerful. Ultimately, our goal is to apply artificial intelligence to these maps, so they can predict a patient’s prognosis and the best combination of drugs to treat them.”

“Generating high-quality ethically sourced datasets is crucial for enabling the use of next-generation AI technologies that transform how we do research,” said Lawrence A. Tabak, DDS, PhD, who is performing the duties of the Director of NIH. “The solutions to long-standing challenges in human health are at our fingertips, and now is the time to connect researchers and AI technologies to tackle our most difficult research questions and ultimately help improve human health.”

Additional researchers are from the University of Alabama, University of Alabama at Birmingham, University of Montreal, Simon Fraser University, University of South Florida, University of Texas at Austin, University of Virginia and Yale University. Bridge Center collaborators include faculty at the Broad Institute, Vanderbilt University and University of Texas Health.

The Cell Maps for AI project is supported by National Institutes of Health award OT2-OD032742.

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Artificial Intelligence

Dark Fiber Market Size to Grow USD 7594 Million by 2030 at a CAGR of 9.09% | Valuates Reports

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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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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!
–  The global Submarine Cable System market is projected to grow from USD 11810 million in 2023 to USD 18130 million by 2029, at a Compound Annual Growth Rate (CAGR) of 7.4% during the forecast period.
–  The global Cloud Radio Access Network (C-RAN) market was valued at USD 676.2 million in 2023 and is anticipated to reach USD 1026 million by 2030, witnessing a CAGR of 6.1% during the forecast period 2024-2030.
–  Metro Dark Fiber Market
–  The global Optical Transport Network (OTN) Equipment market is projected to grow from USD 17700 million in 2024 to USD 22790 million by 2030, at a Compound Annual Growth Rate (CAGR) of 4.3% during the forecast period.
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–  The global FTTx Blown Fibre Cable revenue was USD 2536 million in 2022 and is forecast to a readjusted size of USD 5372 million by 2029 with a CAGR of 12.6% during the forecast period (2023-2029).
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–  The global Passive Optical Network (PON) Equipment market was valued at USD 17470 million in 2023 and is anticipated to reach USD 45290 million by 2030, witnessing a CAGR of 14.8% during the forecast period 2024-2030.
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Artificial Intelligence

AI Governance Market worth $5,776.0 million by 2029- Exclusive Report by MarketsandMarkets™

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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
Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=176187291
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).
Browse Adjacent Markets: Artificial Intelligence (AI) Market Research Reports & Consulting
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AI Agents Market – Global Forecast to 2030
AI Voice Generator Market – Global Forecast to 2030
AI Image Generator Market – Global Forecast to 2030
ModelOps Market- Global Forecast to 2029
AI Studio Market- Global Forecast to 2029
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About MarketsandMarkets™
MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
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Artificial Intelligence

Access Control as a Service (ACaaS) Market worth $3.06 billion by 2029 – Exclusive Report by MarketsandMarkets™

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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
Related Reports: 
VSaaS Market Size, Share & Industry Growth Analysis by Type (Hosted, Managed, Hybrid), Feature (AI-enabled VSaaS, Non-AI VSaaS), AI Visual Analysis (Object Detection & Recognition, Intrusion Detection, Facial Recognition, Anomaly Detection), Vertical & Region – Global Forecast to 2029
Access Control Market by Offering (Hardware-Card-based, Biometric, & Multi-technology Readers, Electronics Locks, Controllers; Software; Services), ACaaS (Hosted, Managed, Hybrid), Vertical and Region – Global Forecast to 2029
About MarketsandMarkets™
MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
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