Facial Recognition Market Size & Share, Growth, Forecast The global Facial Recognition Market is estimated to be worth USD 6.3 billion in 2023 and is projected to reach USD 13.4 billion by 2028, at a CAGR of 16.3% during the forecast period. Accelerated adoption of facial recognition technology during and after the pandemic is driving the growth of the facial recognition market. Download PDF Sample: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=995 The global reaction to the COVID-19 outbreak is strongly linked to the driving force behind contactless solutions, including facial recognition technology. The pandemic created a general need to improve cleanliness and minimize physical touch, spurring a boom in the use of facial recognition in various industries. This trend has seen the rise of facial recognition as a significant factor, especially in authentication and access management applications. By Deployment Mode, the on-premises segment accounts for a larger market share. The on-premises segment is estimated to account for a larger market share during the forecast period. On-premises facial recognition refers to software and hardware systems installed locally within an organization's facilities, rather than cloud-based services. On-premises deployments allow organizations to retain complete control and security of biometric data and integrate with existing infrastructure like access control and security cameras. Key benefits of on-site deployment include data sovereignty, lower latency responses, the ability to function offline, and avoidance of recurring cloud subscription costs. Its typical use cases include building access, employee time tracking, and loss prevention in retail stores or casinos. The large enterprise segment accounts for a larger market share based on organization size. The large enterprises segment is estimated to account for a larger market share during the forecast period. Large enterprises across key sectors like technology, financial services, healthcare, and manufacturing have rapidly adopted facial recognition technology over the last few years. The driving factors include enhanced security, workplace automation, and seamless customer experiences. Its conventional applications include automated employee authentication for facility access control, time-tracking, increased safety/surveillance, and personalized customer engagement. While most large companies acknowledge public concerns surrounding consent, biases, and mass surveillance, pragmatic implementations focused on workplace security, operations optimization, and customer convenience continue accelerating. With decreasing costs and improving accuracy, enterprise adoption is expected to grow significantly despite increasing regulation. Asia Pacific to grow at the highest CAGR during the forecast period. During the forecast period, the Asia Pacific region is poised to exhibit the highest CAGR in the facial recognition market. Facial recognition technology has gained significant traction in Asia and has become a focal point for governments, businesses, and various sectors. The Asia Pacific region has witnessed widespread adoption of facial recognition across diverse applications, ranging from security and surveillance to finance, retail, and healthcare. Governments in the area have been actively deploying facial recognition for public safety and law enforcement purposes. The technology is employed in airports, border crossings, and public spaces to enhance security measures and monitor potential threats, driving the adoption of facial recognition technology in the region. Inquiry Before Buying: https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=995 Market Players The major players in the facial recognition market are NEC (Japan), Microsoft (US), Thales (France), AWS (US), IDEMIA (France), Aware (US), Daon (Ireland), Megvii (China), Facephi (Spain), Herta Security (Spain), OneSpan (US), Q3 Technologies (US), Neurotechnology (Lithuania), Cognitec Systems (Germany), Ayonix (Japan), NVISO.ai (Switzerland), FaceFirst (US), Clarifai (US), Iproov (UK), Oosto (Israel), Pangiam (US), Clearview AI (US), Corsight AI (Israel), Facia (UK) Veridium (US), and Visage Technology (Sweden).

Global Web3 Financial Services Market Size Poised for46.01% CAGR Growth En Route to Surpassing USD 14,863.9 Million by 2031 Kings Research has recently published a research report that provides valuable information on the global Web3 Financial Services market. The report indicates that the market's revenue is expected to exceed USD 14,863.9 Million by 2030, representing a significant rise from its valuation of USD 731.2 Million in 2022. This growth is primarily driven by a robust 46.01 % compound annual growth rate (CAGR) over the forecast period of 2023 to 2030. This comprehensive examination delves into the global Web3 Financial Services market, presenting in-depth observations on the industry. It delivers a comprehensive assessment of present market trends, notable drivers, and growth opportunities. The research aims to equip readers with a thorough comprehension of the business landscape to facilitate well-informed decision-making. 𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅 𝐨𝐟 𝐭𝐡𝐞 𝐑𝐞𝐩𝐨𝐫𝐭: https://www.kingsresearch.com/request-sample/web3-financial-services-market-542?utm_source=8087&utm_medium=FREE

Global Web3 Financial Services Market Future Trends, Revenue Growth & Leading Players, Forecast By Year 2031 The Global Web3 Financial Services Market is exhibiting substantial growth, with a valuation of USD 731.2 Million in 2023, and is poised to reach USD 14,863.9 Million by 2030, progressing at a robust CAGR of 46.01% during the forecast period from 2023 to 2030. Our comprehensive Global Web3 Financial Services Market analysis report delivers essential insights to its readers. It meticulously evaluates critical market data in the context of demand dynamics, organizational support, potential advantages, and strategic approaches employed by key industry players. This in-depth examination of the Web3 Financial Services industry unveils market size and trends projected for the years 2023 to 2030. Our market experts have also highlighted crucial factors necessary to help businesses identify opportunities and stabilize the sector in the near future. 𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅 𝐨𝐟 𝐭𝐡𝐞 𝐑𝐞𝐩𝐨𝐫𝐭: https://www.kingsresearch.com/request-sample/web3-financial-services-market-542?utm_source=8087&utm_medium=FREE

Multi-cloud Security Market Size 2023: Driving Factors, Industry Growth, Key Vendors And Forecasts To 2027 Rising cyberattacks on multi-cloud deployments and growing initiatives by the government for multi-cloud usage are some of the factors driving the market growth. Organizations are increasingly adopting multi-cloud security solutions to maintain the vital security posture of multi-cloud deployments. The global Multi-cloud Security Market is projected to grow from an estimated USD 4.4 billion in 2022 to USD 10.5 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 18.7% from 2022 to 2027, according to report published by MarketsandMarkets. Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=231733464 Leading Companies in Multi-cloud Security Market: Microsoft (US) VMware (US) Rackspace (UK) Check Point (Israel) F5 (US) Amazon Web Services (US) Fujitsu (Japan) Entrust (US) Google Cloud (US) Cloudflare (US) IBM (US) By organization size, large enterprises to account for a larger market size during the forecast period According to the Organization for Economic Co-operation and Development (OECD), large enterprises employ more than 250 people. Large enterprises have rapidly started adopting multi-cloud systems over traditional on-premises methods. These large enterprises have various department verticals performing different operations, which makes it difficult for the organization to maintain the security posture of the entire organization. The pandemic led to organizations rapidly adopting the work-from-home (WFH) trend. Large enterprises increasingly deploy cloud-based solutions due to increased scalability and lower maintenance costs. Organizations are increasingly using multi-cloud deployments with benefits including minimizing vendor lock-in, leveraging best options as per requirements, and meeting regulatory requirements. According to IBM's report Cloud's next leap, the percentage of respondents claiming a single public cloud as their primary archetype dropped from 16% in 2019 to 2% in 2021, with the growing use of multi-cloud deployments. Organizations are increasingly adopting multi-cloud security solutions to maintain the vital security posture of multi-cloud deployments. By vertical, BFSI to account for the largest market size during the forecast period BFSI consists of banking, financial services, and insurance. Despite the size and business mix, most financial institutions have increasingly started adopting cloud and multi-cloud computing solutions. There are cost benefits when scaling, deploying new services, and innovating. Banks and financial institutions are increasingly moving their data to the cloud environment amid the COVID-19 outbreak. There are security and resiliency benefits that can be difficult and expensive to replicate on-premises, especially for smaller institutions trying to keep pace with the rapidly changing standards. However, as the industry continues to embrace cloud services, regulators are becoming more aware of the challenges associated with cloud computing, especially those that could expose financial institutions to systematic risks potentially undermining the financial system's stability. With the widespread adoption of cloud computing platforms, finance and insurance companies must meet the highest security standards set by monetary regulatory authorities. There is a constant need for proper security measures and vigilance to protect organizations from potential cloud attacks on multi-cloud deployments in the vertical. Multi-cloud security solutions are being implemented to help maintain the organization's security. Different government mandates, such as the Personal Information Protection and Electronics Document Act (PIPEDA) and PCI DSS, necessitate financial institutions to comply with these standards. There is an increasing need for cybersecurity solutions and services in the BFSI vertical to combat the rising number of physical and cyber-attacks on critical infrastructures. Request a Sample Pages: https://www.marketsandmarkets.com/requestsampleNew.asp?id=231733464

IoT IAM Market Size, Share, Trends, And Forecasted Growth For 2023-2030 The global IoT IAM market is gaining traction due to increase in frequency of cybersecurity breaches and cyberattacks. The global IoT IAM Market size is expected to grow from USD 5.6 billion in 2022 to USD 14.0 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 20.1% during the forecast period, according to report published by MarketsandMarkets. Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=67542546 The BFSI vertical is expected to lead the IoT IAM market in 2022. IoT has changed the working of the banking and financial services sector. As the banking industry deals with massive data transfer, collecting, and analysis of data, the IoT has a huge influence on it which advantages both the banking services and customers. IoT helps a bank in every facet, starting from a rise in revenue to enhancing customer services. The BFSI industry always prefers IAM products and services that could safeguard the industry’s employees, customers, assets, offices, branches, and operations; this vertical therefore holds a significant percentage of the total IoT IAM market. As the BFSI industry comes up with new financial products and services to upgrade, banks need a multilayered security approach to deliver authenticated and authorized experience to customers. Network security segment is expected to grow with the fastest growth rate during the forecast period. Network security protects the network and data from infringements, interruptions, and other threats. It comprises of multiple elements such as security software, hardware, and appliances that work together to provide layers of complete network security. Enterprises opt for IAM solutions as they improve protection and user experience and facilitate better business outcomes. IAM is a structure of policies, processes, and technologies that facilitate businesses to manage digital identities and control user access to critical corporate information. The increase in the use of smartphones, laptops, and mobile devices results in network complexity within businesses, which requires securing these devices. Request a Sample Pages: https://www.marketsandmarkets.com/requestsampleNew.asp?id=67542546

🤔 What is Defi? 📖 DeFi stands for Decentralized Finance. It's a term used to describe a variety of financial services, applications, and platforms that operate on blockchain technology without the need for traditional intermediaries like banks or brokerages. ✔ Read More: https://www.koinpark.com/blog/what-is-defi #Crypto #Koinpark #Globalcryptocurrencyexchange #Cryptocurrencyexchange #Defi

Data Integration Market Size 2023: Growth Insight, Share, Trends, Regional Forecast To 2026 The global Data Integration Market size to grow from USD 11.6 billion in 2021 to USD 19.6 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 11.0% during the forecast period according to report published by MarketsandMarkets. Various factors such as rise in big data technologies and cloud computing technologies, increasing amount of on-cloud data and incapability of traditional data management tools are expected to drive the adoption of data integration solutions and services. Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=61793560 The services segment to hold higher CAGR during the forecast period Based on components, the data integration market is segmented into software and services. The services segment has been further divided into professional and managed services. These services play a vital role in the functioning of data integration, as well as ensure faster and smoother implementation that maximizes the value of the enterprise investments. The growing adoption of data integration is expected to boost the adoption of professional and managed services. Professional service providers have deep knowledge related to the products and enable customers to focus on the core business, while MSPs help customers improve business operations and cut expenses. The marketing business application to hold the largest market size during the forecast period With the advent of IoT and mobile technologies, the massive amount of data (big data in most cases) has compelled marketers to deploy tools and practices that can help them make sense of this data. Data integration supports this requirement by providing marketers a platform to consolidate the data captured from various sources into a useful format ready for analysis. Data integration enables marketers to integrate all their data collected from different marketing channels and feed it into an analysis tool that can analyze and extract relevant information for them. By using data integration tools, marketers can develop a customer-centric view and target their marketing efforts more precisely instead of dealing with different marketing channels against channel-specific metrics. Healthcare and life sciences segment to have the largest market size during the forecast period The data integration market by vertical has been categorized into banking, financial services, and insurance, retail and consumer goods, media and entertainment, IT and telecom, healthcare and life sciences, Government and defense, energy and utilities, and manufacturing. The healthcare and life sciences vertical is expected to have the largest market size during the forecast period. The healthcare and life sciences vertical has always been overloaded with data, chiefly from patient, clinical, claim, hospital system, financial, pharmacy, and most recently from wearable technology sources. Leveraging this data can help develop a bulletproof plan to mitigate most of the existing diseases, improve patient care, develop new medicines, and identify new diseases. Request a Sample Pages: https://www.marketsandmarkets.com/requestsampleNew.asp?id=61793560

Different Ways to Convert Bitcoin to INR: A Simple Guide Introduction: Bitcoin denoted as BTC, is a pioneering decentralized cryptocurrency launched in 2009 by the mysterious Satoshi Nakamoto. Transactions, including conversions like BTC to INR, can be made on all cryptocurrency exchange platform, such as koinpark. This innovative digital currency operates on a secure blockchain, facilitating global financial transactions and investments. Understanding the Basics: Before initiating the journey to buy BTC, it's crucial to comprehend the fundamentals of the cryptocurrency market, especially Bitcoin, and its value compared to traditional currencies like the Indian Rupee. Ensure a comprehensive understanding before deciding to buy BTC Creating the Account: To initiate the conversion process, users can register on a cryptocurrency exchange app, such as koinpark. This involves furnishing essential personal details, completing identity verification, and implementing security measures like two-factor authentication. Depositing Bitcoin: Once the account is established, individuals should transfer their Bitcoin to the wallet provided by the selected platform when intending to sell BTC. This typically includes generating a unique wallet address. For a smooth experience in buying, selling, and managing your cryptocurrency portfolio, you may want to explore koinpark, a trustworthy platform. Bitcoin ATMs: A Bitcoin ATM, or Bitcoin Automated Teller Machine, is a physical kiosk or terminal. It enables users to conveniently sell or buy BTC using cash or credit/debit cards, facilitating the conversion between fiat currency and digital cryptocurrency. Peer-to-Peer (P2P) Platform: A peer-to-peer (P2P) platform operates as a decentralized service, fostering direct interaction between two individuals without relying on a third party. P2P lending is a facet of financial technology. Users on these platforms can engage in various financial activities, including the ability to convert BTC to INR, thus broadening the spectrum of decentralized financial services available. Over-the-Counter (OTC) Desks: An OTC Desk specializes in facilitating over-the-counter (OTC) trades for its clients. Rather than matching buyers and sellers directly, the OTC Desk assumes the role of a dealer for individuals seeking to buy and sell BTC or any other specified asset. OTC Desks are commonly utilized when a particular trade might not be feasible on traditional exchanges. Starting the Conversion: After depositing BTC, users navigate to the platform's trading interface. Select INR as the currency, and effortlessly initiate the conversion process. Consider using koinpark for smooth and efficient trade of BTC and other cryptocurrency transactions. Conclusion: Facilitating transactions to buy and sell BTC becomes straightforward with a systematic approach. Understand the basics, choose a reliable platform, and follow these steps for efficient navigation. For seamless transactions, leverage koinpark—a reliable platform for buying and selling BTC, and managing your cryptocurrency portfolio Celebrate the joy of the season with Koinpark's cryptoXmas! Unwrap the magic of exciting offers and discover unpredictable rewards this holiday season. Join us for an unforgettable crypto experience! Participate Now: https://www.koinpark.com/xmas-event?theme=light Visit Page: https://www.koinpark.com/blog/koinpark-cryptoxmas-christmas-giveaway Website Link: https://www.koinpark.com/ Trading Pair Link: https://www.koinpark.com/trade/BTC-INR App Link: https://play.google.com/store/search?q=koinpark&c=apps .

RPA and Hyperautomation Market Size, Share, Growth Industry Forecast to 2027 The global RPA and Hyperautomation Market size is to grow from USD 9.2 billion in 2022 to USD 26.0 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 23.1% during the forecast period. The RPA and Hyperautomation market comprises three broad technologies: digital transformation with advanced techniques and surging demand for AI, ML, advanced analytics technologies for enhanced business operations, and rising demand for automated solutions for business continuity and planning is driving the growth of RPA and Hyperautomation market. Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=32171963 The services segment to hold a higher CAGR during the forecast period Based on components, the services segment holds a higher CAGR during the forecast period. RPA and Hyperautomation combine multiple technologies to automate complex end-to-end business processes that involve decision-making and continuous learning. Businesses are leveraging this opportunity by automating small rule-based tasks to complex business processes. To respond to this dynamic trend, organizations need superior automation capabilities. Services form an integral part of the software lifecycle, including deployment, integration, product upgrade, maintenance, training, and consulting. Servers, apps, and managed services are the three types of services into which this segment is divided. Managed services are used for hosting and managing servers, applications, and networks for clients; these services are provided by third-party vendors. Professional services are obtained directly from parent companies. The SMEs segment is estimated to have a higher CAGR during the forecast period Based on organization size, the SMEs segment is estimated to have a higher CAGR during the forecast period. The intense competitive market scenario has encouraged SMEs to invest in RPA and Hyperautomation solutions and services, grow their productivity, and reduce costs. These enterprises aggressively opt for RPA due to flexibility, cost-effectiveness, lower technology risks, resource utilization scalability, and improved organizational productivity. The increasing awareness about the advantages of using automation within SMEs can help boost market growth. SMEs have limitations regarding human resources and budget and need to retain their operational expenses. The RPA enables SMEs to overcome the reduced human error and shortage of employees for redundant tasks by supporting automation functions, which is expected to boost the RPA and Hyperautomation market. The cloud segment is expected to have a higher CAGR during the forecast period Based on deployment mode, the cloud segment is expected to have a higher CAGR during the forecast period. SMEs are majorly moving toward adopting the cloud deployment type due to its major benefits, such as lower costs, no requirement of manpower for hardware maintenance, faster and efficient results, and complete flexibility and scalability, which result in reduced Operational Expenditure (OPEX) and CAPEX. Seamless flexibility and scalability enable customers to store and retrieve actionable insights anytime and anywhere easily. The cloud-based deployment type enables users to easily access RPA and Hyperautomation solutions from a remote location in real-time. Cloud-based RPA and Hyperautomation solutions provide cost-saving benefits, which improve enterprises’ operational efficiency and reduce operational costs. Regional Analysis for RPA and Hyperautomation Market • The financial services sector is one of the early adopters of RPA and Hyperautomation in the Europe owing to automating repetitive tasks in data entry, compliance, and customer support. EU is expected to surpass USD 7 billion in the RPA and hyperautomation market by 2027. • The UK government actively promoted RPA adoption in the public sector to enhance citizen services and reduce operational costs. While data privacy and security remained paramount, the growth rate in RPA adoption was notable across various industries, reflecting a broader shift toward digital transformation and automation across the UK market. • In Germany, the manufacturing sector spearheaded Industry 4.0 initiatives, driving RPA adoption for optimizing production processes, quality control, and logistics. While the healthcare providers streamlined administrative workflows, and financial institutions employed RPA for customer onboarding and compliance, reflecting cross-industry application. • In France, RPA gained traction in the financial sector for tasks like account reconciliation and compliance reporting, while healthcare organizations sought to improve efficiency in patient record management and billing. The country emphasized data security and compliance, while exploring the integration of RPA with artificial intelligence (AI) for more intelligent automation.

Causal AI Market Size, Projections of Share, Trends, and Growth for 2023-2030 Causal AI is a rapidly growing field that focuses on establishing cause-and-effect relationships between variables, ensuring the safety and fairness of AI predictions. Causal AI utilizes causality to go beyond narrow machine learning predictions and make choices like humans do. This technology is the future of decision-making, combining AI and causal reasoning to create a more transparent and safer approach to AI. Causal AI and Causal ML has the potential to reshape the world, particularly in the areas of health, development, and marketing. The market for Causal AI is estimated to grow from USD 8010 thousand in 2023 to USD 119,500 thousand by 2030, at a CAGR of 47.1% during the forecast period, according to new research report by MarketsandMarkets™ Download Report Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=162494083 BFSI to account for higher CAGR during the forecast period The BFSI (Banking, Financial Services, and Insurance) sector is one of the biggest adopters of causal AI technology. Causal AI is widely used in financial services for risk management, fraud detection, compliance, customer experience, and more. North America dominates the causal AI market in BFSI, followed by Europe and Asia-Pacific. The North American market hold the largest share in BFSI during the forecast period, due to the presence of several key players and the high adoption of AI technology in the region. The causal AI market in BFSI is highly competitive, with several players operating in the market. Some of the key players in this market include IBM, Microsoft, and Google. These players are focusing on partnerships, collaborations, and acquisitions to expand their market presence and strengthen their product portfolio. Services Segment to account for higher CAGR during the forecast period Causal AI services provide expert guidance, consulting, and support for organizations looking to implement causal inference tools and techniques. These services include Consulting Services, Deployment and Integration, Training, support, and maintenance. Causal AI services are particularly useful for organizations that lack the internal resources or expertise to implement causal inference on their own. They can help organizations identify and understand causal relationships in their data, improving the accuracy of predictions and data-driven decision making. Service providers may include data scientists, statisticians, software developers, and domain experts with expertise in causal inference. They may offer services on a project-by-project basis or provide ongoing support and consulting to organizations. North America is expected to account for the largest market size in 2023 Causal AI has been gaining traction in North America, with both the United States and Canada making significant investments in AI research and development. The US government has launched several initiatives to promote the development of AI, such as the American AI Initiative, which aims to maintain the country's leadership in AI research and development. Canada has also been contributing to AI research, with several universities and research institutes working on developing AI technologies. The private sector in North America has also been investing heavily in AI research and development, with companies such as Google, Amazon, and Microsoft developing AI technologies for a wide range of applications. The healthcare industry has also been an area of focus for AI research and development, with several companies developing AI technologies to improve patient outcomes and reduce healthcare costs. Inquire Before Buying @ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=162494083 Key Market Players Major vendors in the global Causal AI market are IBM (US), CausaLens (England), Microsoft (US), Causaly (England), Google (US), Geminos (US), AWS (US), Aitia (US), INCRMNTAL (Israel), Logility (US), Cognino.ai. (England), H2O.ai (US), DataRobot (US), Cognizant (US), Scalnyx (France), Causality Link (US), Dynatrace (US), Parabole.ai (US), Causalis.ai (Israel), and Omics Data Automation (US).