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Artificial Intelligence

WIMI Hologram Upgrades Its AI Digitization to Seize the Market Opportunity, China’s First Virtual Student Hua Zhibing Was Born

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HONG KONG, June 22, 2021 (GLOBE NEWSWIRE) — Tailor Insight, the fintech market research organization, recently released a research report “WIMI Hologram Upgrades Its AI Digitization to Seize the Market Opportunity, China’s First Virtual Student Hua Zhibing Was Born”. Is Chinese AI robot already studying at Tsinghua University? On June 1, the Department of Computer Science and Technology at Tsinghua University enrolled Chinese first original virtual student, Hua Zhibing. It is understood that Hua ZhiBing, whose face and voice are generated by AI models, has super high intelligence quotient and emotional quotient. Hua Zhibing can write poems, compose tunes and draw pictures, but also has a certain degree of reasoning and emotional exchange ability. The existence of Hua Zhibing is unprecedented. For China’s AI industry, the birth of Hua Zhibing is not only eye-catching, but also reflects that China’s AI technology has reached a very high level. Today, China’s strength in AI is strong enough, even compared to the United States.

In 2020, China’s AI market value reached $43.4 billion with a growth rate of 13.75%, already higher than the world average. Certainly, China compares favorably with other developed countries in terms of patents, for China has the most AI patent layouts in the world, slightly better than both the US and Japan. According to the data released in the 2020 China AI Development Report, the number of global AI patent applications exceeded 520 thousand in the past 10 years, of which China’s AI patent applications were 389571, accounting for 74.7% of the global total, 8.2 times more than the second-ranked U.S. applications. In terms of commercialization results, China is also doing better in application of AI compared to the US.

The U.S. has observed China’s strength on AI technology and has quite scruple about China. This year, at the U.S. National Security Commission on Artificial Intelligence (NSCAI), the U.S. Congress submitted a 756-page report, in which China has been mentioned for 608 times. The report mentions that China’s AI technology is accelerating its rise, and will overtake the U.S. and offset the U.S. technological advantage, further dominating AI global standards within 10 years. This report suggests that the US, Japan and other countries should take some measures against China’s development in AI, that is, to trip up China’s development in AI.

Threatened by the US, China will not show weakness and surrender. This is because the comprehensive strength of hardware, algorithms and talents in China’s AI industry is improving, and excellent enterprise representatives in the industry are rapidly rising to form a favorable competitive pattern. Among them, as the domestic AI visual holographic AR representative enterprise, WiMi Hologram Cloud, through years of technology research and development, has been holographic AI cloud mobile software developer, service provider, operator, also become one of the largest holographic AI field integration platform throughout China. In 2020, WiMi Hologram Cloud was successfully listed in the US. WiMi Hologram Cloud now has the world’s leading 3D computer visual technology and SAAS platform technology. It turns ordinary images into holographic 3D content through AI algorithms, which is widely applied in holographic advertising, holographic entertainment, holographic education, holographic communication and other fields. WiMi Hologram Cloud has core technologies such as holographic face recognition, holographic face replacement and holographic digital life. With these technologies, WiMi Hologram Cloud is seeking market cooperation and investment opportunities worldwide.

Compared with its peers, WiMi Hologram Cloud’s vision is “to be the creator of holographic ecology in China”. In detail, to make significant breakthroughs and leap development in the field of holographic applications such as advertising, entertainment, education, 5G communication, etc.; In-depth research and development and market application in all aspects of holographic 3D computer visual acquisition, AI synthesis, transmission, presentation and application; to build open service platform with strong expandability so as to build a bridge between holographic technology application and holographic computer vision presentation; to realize the application of holographic computer vision in different scenarios to promote the leap development of the holographic industry. It can be seen that WiMi Hologram Cloud has huge ambitions. However, this ambition is not boastful, because it’s based on the confidence of WiMi Hologram Cloud in its own strength.

WiMi Hologram will further build strong and leading technical strength in the industry. The image information acquisition accuracy of WiMi Hologram Cloud computer visual AI synthesis technology is about 10 times higher than the industry average. Moreover, its computer holographic visual AI synthesis processing ability is better than the industry average. Beyond that, WiMi Hologram Cloud computer visual presentation sets multiple parameter dimensions to precisely regulate imaging, and the simulation degree is far above the industry average. Take WiMi Hologram Cloud AI face recognition system as an example, this system can recognize face intuitively, fast and accurately as human eyes. It takes only one second to identify whether one is previously registered, and the system takes only 2 seconds to register for each person. It also does not require any direct physical touch or precise positioning in front of the recognition system, regardless of their age or height.

WiMi Hologram Cloud AI face recognition system is a high-performance heterogeneous distributed cloud platform and it has three outstanding strengths. First, the distributed deep learning platform supports not only custom expansion of deep learning models and algorithms, but also a large number of mixed distributed computations of general-purpose CPU, GPU or CPU and GPU; apart from that, WiMi Hologram Cloud AI face recognition system supports both models with hundreds of billions of parameters and large-scale classification of hundreds of millions of categories; Finally, this system is able to distinguish geometric accuracy up to one-fifth of a millimeter. WiMi Hologram Cloud AI face recognition system is one of the most accurate biometric device systems on the market today. The principle of WiMi Hologram Cloud AI face recognition system is showing following: Applying specialized holographic scanning technology and using structured light, the system can quickly and accurately acquire the 3D model of the object surface, unaffected by ambient light. At the same time, the camera with texture and 3D sensor with wide field of view can recognize the shape, material and color of the object surface simultaneously. With this system, the 3D model of an object can be obtained in snapshot mode or video mode. WiMi Hologram Cloud will provide complete solutions and SDKs for various fields, which are widely used in scenario systems management that require accurate security identification, including access control systems, furniture, business offices, airports, customs docks, railway stations, bus stations, entrance to examination centers, notary offices, DMVs, various key laboratories, key office areas, banks and securities, etc.

In addition to face recognition, WiMi Hologram Cloud proposed research on AI face replacement system ahead of the industry. Based on the current software development, image processing and image recognition technology, WiMi Hologram Cloud designed technology to replace faces in video; based on AI machine learning, this technology replaces the face you see in the video with any face. This effect can be achieved by python. The process is as follows: extracting face B through Scr (the replacement) video; extracting face A through dst (the predecessor) video; building the model of replacing face B with face A by GAN training; converting each frame of dst video to replace the face of each frame; synthesizing the video and adding the original audio to output the new video. WiMi Hologram Cloud has obvious advantages in this technology. First of all, the original material requirements are no longer stringent which means even if there is no video, just a part of the photo can be used in face replacement; secondly, the face is recognized in each frame, and the face animation with blank background and transparent layers is generated. Using the latest face feature point-detection package (a recently-released face grid model with more than four hundred feature points), the holographic face replacement function can be easily accomplished even when the angle of the face is different. Finally, according to different face shapes, a variety of models are available to be chosen. These models have vivid expressions without artificial traces. However, most facial expressions generated by existing systems are dull, looking like a face that has been pasted on and the eyes cannot blink. Different from them, the face in the video generated by WiMi Hologram is able to have more detailed expressions, which is more in line with the authenticity of the character.

By virtue of the new era technology 5G+AI+ holographic projection, WiMi Hologram Cloud also integrates cutting-edge technologies such as 5G, AI and holographic projection and learning knowledge to create a very technological and experiential learning journey. With an artistic perspective, WiMi Hologram Cloud provides Chinese youth with more comprehensive and interesting knowledge content, bringing offline class to online platforms, so that children do not have to go out to learn with famous teachers closely. The technical strength of WiMi Hologram Cloud is not to be questioned, and it has made outstanding achievements in scientific and technological innovation. WiMi Hologram Cloud also won the “2020-2021 Advanced Unit in Science and Technology Innovation” award at the 18th China Scientist Forum. WiMi Hologram Cloud will further enhance its market segment and the deepening degree of artificial intelligence in China in the future, so that a range of commercialized application will can be widely promoted.

According to China’s current development speed, in the next 10 years, China will catch up in the field of artificial intelligence and become the real “leader” in the global AI industry. If you want to see this grand event, then more excellent companies need to come forward, and the relevant departments need to support these companies with favorable polies.

About Tailor Insight

Tailor Insight provides easy and quick solutions that allow customers to capture, monitor, and audit market data from a holistic view down to an individual task on market research and industry trend insights. For more information, please visit http://www.TailorInsight.com

Media contact

Alex Xie, Senior Analyst

Fintech Research Team, Tailor Insight Research

[email protected]

http://www.TailorInsight.com

GlobeNewswire is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public.

Artificial Intelligence

SimSpace Welcomes Matt Knutsen as New Chief Revenue Officer to Spearhead Expansion Plan

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SimSpace strengthens their leadership team, appointing Knutsen to drive revenue growth for the company as it expands further into the public sector 
BOSTON, May 2, 2024 /PRNewswire/ — SimSpace, the US-based industry leader in AI-Powered cyber ranges, announced today the appointment of Matt Knutsen as its new Chief Revenue Officer (CRO). Matt will champion SimSpace’s global sales and revenue growth strategy. He will drive expansion initiatives and foster strategic partnerships to stress test businesses’ and state agencies’ people, processes and technologies against the most advanced adversaries.

With more than 20 years of experience in the field, Matt most recently held the position of CRO at cyber training provider Immersive Labs, where he increased revenue growth by over 4000% and attracted over $180M in investment. He also launched the company into new markets, expanding the team across Australia, Europe, the Middle East, New Zealand and the US. The combination of Matt’s wealth of experience and his in-depth industry knowledge make him well-equipped to lead SimSpace’s next phase of growth.
As nation-state attacks rise in frequency, and AI drives a new wave of severe cyberattacks, companies also have to navigate uncertain economic conditions. SimSpace empowers organizations to cut unnecessary spending through stack optimization, allowing CISOs to maximize their ROI and effectiveness of their technology stack. Knutsen’s influence in the field will propel the SimSpace Platform to new heights, advancing access for companies and governments that need to optimize their cybersecurity defenses and safeguard their critical infrastructure from an increasingly volatile threat landscape.
Matt Knutsen is the most recent addition to SimSpace’s Executive Leadership Team, following Clint Sand’s appointment as Chief Product Officer in February 2024. His appointment underscores SimSpace’s continued growth trajectory, headed by the $45M they secured in funding from L2 Point Management, bringing the total capital raised over the past year to $70M. The company has also bolstered their presence in the public sector, marked by their recent partnership with Carahsoft and their multi-year contract with Florida to enhance the state’s cybersecurity preparedness. SimSpace’s high fidelity cyber ranges and simulations will enable state agencies and programs like Cyber Florida to rehearse and respond to cyberattacks.  
Commenting on Matt’s arrival, SimSpace CEO William Hutchison said, “Matt is a seasoned executive, who has accumulated years of knowledge on cybersecurity best practices and established himself as a leading authority in cyber range exercises. His industry influence, strategic vision and conviction in the importance of cybersecurity preparedness will shape the future success of the company at this crucial time of expansion. With Matt leading our revenue organization, we have full confidence in our capacity to deepen our valued partnerships and build strong, new connections which will further elevate SimSpace’s position as a trusted cybersecurity partner.”
Matt Knutsen, Chief Revenue Officer commented, “I’m looking forward to bringing a proactive approach to cybersecurity risk management to even more private and public sector organizations. I’ve already been impressed by SimSpace’s high-fidelity cyber range simulations, both on and off premise. It’s a great time to be joining the company and I’m excited to build upon SimSpace’s recent rapid growth with even more partnerships.”
About SimSpace
SimSpace is the global leader in AI-Powered cyber ranges, founded by experts from U.S. Cyber Command and MIT’s Lincoln Laboratory to respond to a new era of unprecedented cyber threats. Having raised nearly $70 million in funding over the past year, the company’s Platform enables the most sophisticated enterprises, governments, and critical national infrastructure organizations to find intelligence-driven answers to the most vexing security, governance, training, and cyber readiness questions. SimSpace provides high-fidelity cybersecurity simulations, training, and safe live-fire exercises to Fortune 2000 financial, retail, insurance, and other commercial markets. SimSpace’s Platform results in an average reduction in cyber operational costs of 30% and a 40% reduction in breaches. 
For more information, please visit: www.SimSpace.com.

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Artificial Intelligence

Enterprise AI Market to Be Worth $171.2 Billion by 2031–Exclusive Report by Meticulous Research®

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REDDING, Calif., May 2, 2024 /PRNewswire/ — According to a new market research report titled, ‘Enterprise AI Market by Offering (Solutions, Services), Deployment Mode, Organization Size, Technology (ML, NLP), End-use Industry (IT & Telecom, Healthcare, Retail & E-commerce, Media & Advertisement) and Geography—Global Forecast to 2031,’ the global enterprise AI market is projected to reach $171.2 billion by 2031, at a CAGR of 32.9% from 2024 to 2031.

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Enterprise artificial intelligence (AI) is the integration of advanced AI-enabled technologies and techniques within large organizations to enhance business functions. Enterprise AI encompasses routine tasks of an organization such as data collection and analysis, supply chain management, finance, marketing, customer service, human resources and cybersecurity, and risk management. Enterprise AI is an integration of AI-enabled technologies such as machine learning, natural language processing, image processing, and speech recognition. Enterprise AI is used in various industries such as media & advertising, healthcare, retail & e-commerce, BFSI, government, automotive, and IT & telecom.
The growth of the enterprise AI market is driven by enterprises’ increasing need to enhance customer satisfaction and the growing implementation of enterprise AI solutions in the IT & telecom sectors. However, the high costs of enterprise AI solutions restrain the growth of this market. Furthermore, the increasing need for conversational AI solutions for optimized sales & marketing management and the growing need to automate business processes are expected to generate growth opportunities for the players operating in this market. However, data privacy & security concerns are a major challenge impacting market growth. Additionally, the growing adoption of AI chatbots for customer interaction and the increasing integration of Machine Learning (ML) technology into enterprise AI solutions are prominent trends in this market.
The global enterprise AI market is segmented by offering (solutions and services [professional services and managed services]), deployment mode (cloud-based deployment and on-premise deployment), organization size (large enterprises and small & medium-sized enterprises), technology (machine learning, image processing, natural language processing, and speech recognition), end-use industry (media & advertising, healthcare, retail & e-commerce, BFSI, government, automotive, IT & telecom, and other end-use industries), and geography. The study also evaluates industry competitors and analyses the market at the country and regional levels.
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Based on offering, in 2024, the solutions segment is expected to account for the larger share of 63% of the enterprise AI market. The segment’s large market share is attributed to the growing adoption of enterprise AI solutions to solve specific business challenges or streamline business processes and the growing implementation of these solutions to automate tasks, analyze data, and provide insights.
However, the services segment is expected to register a higher CAGR during the forecast period. The growth of this segment is driven by the growing need for AI consulting, data analysis, and enterprise-grade AI solution development, maintenance, and support and the rising adoption of services to automate tasks and help improve business operations efficiently.
Based on deployment mode, in 2024, the on-premise deployment segment is expected to account for the largest share of the enterprise AI market, with a revenue contribution of around USD 13 billion. The segment’s large market share is attributed to the increasing on-premise deployment of enterprise AI solutions by large enterprises and the growing demand for service flexibility, enhanced customer experience, and efficiency in managing risks and compliance.
However, the cloud-based deployment segment is expected to register a higher CAGR during the forecast period. The growth of this segment is driven by benefits associated with cloud-based deployment, including easy maintenance of customer data, cost-effectiveness, and scalability, and the increasing demand for enterprise AI solutions that support multi-cloud deployments.
Based on organization size, in 2024, the large enterprises segment is expected to account for the larger share of the enterprise AI market. The segment’s large market share is attributed to the growing emphasis on developing strategic IT initiatives among large enterprises, the increasing need to manage large volumes of customer-level data, and the early adoption of advanced technologies across various sectors such as retail, manufacturing, healthcare, and automotive.
However, the small & medium-sized enterprises segment is expected to register a higher CAGR during the forecast period. The growth of this segment is driven by the increasing need for chatbots and digital assistants among small & medium-sized enterprises and the increasing need to improve performance, quality management, and customer satisfaction in call centers.
Based on technology, in 2024, the machine learning segment is expected to account for the largest share of the enterprise AI market. The segment’s large market share is attributed to the growing adoption of enterprise AI solutions with machine learning capabilities to analyze historical data and identify patterns and the increasing use of these solutions in e-commerce, streaming platforms, and content websites.
However, the natural language processing segment is expected to register the highest CAGR of 37.4% during the forecast period. The growth of this segment is driven by the growing need to understand, interpret, and generate human language data and the rising adoption of NLP to analyze user preferences, behaviors, and interactions to deliver personalized content.
Based on end-use industry, in 2024, the IT & telecom segment is expected to account for the largest share of 26% of the enterprise AI market. The segment’s large market share is attributed to the increasing demand for personalized customer experiences enabled by AI technologies, the rising adoption of AI for analyzing data from network sensors to optimize operations, and the growing utilization of AI to enhance network performance and deliver customized services. Also, this segment is expected to register the highest CAGR during the forecast period.
Based on geography, in 2024, North America is expected to dominate the global enterprise AI market.  North America enterprise AI market is estimated to be worth USD 9 billion in 2024. North America’s significant market share can be attributed to the growing adoption of enterprise AI solutions in the retail, healthcare, and finance sectors, the rising implementation of AI to enhance customer engagement, inventory management, and personalized shopping experience, and the increasing use of chatbots on websites, social media platforms, and messaging apps to respond customer inquiries.
However, Asia-Pacific is expected to register the highest CAGR of 34.3% during the forecast period. The growth of this regional market is driven by the growing emphasis by companies to launch chatbots and virtual assistants in the Asia-Pacific region, growing demand for chatbots and voice assistant solutions, and increasing demand for AI-powered customer support services.
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The key players operating in the enterprise AI market are NVIDIA Corporation (U.S.), Google LLC (A subsidiary of Alphabet Inc.) (U.S.), Amazon Web Services, Inc. (A Subsidiary of Amazon.com, Inc.) (U.S.), International Business Machines Corporation (U.S.), Microsoft Corporation (U.S.), Verint Systems Inc. (U.S.), SAP SE (Germany), Pegasystems Inc. (U.S.), Wipro Limited (India), Intel Corporation (U.S.), Oracle Corporation (U.S.), Hewlett Packard Enterprise (U.S.), MicroStrategy Incorporated (U.S.), Amelia US LLC (U.S.), Sentient.io (Singapore).
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Scope of the Report:
Global Enterprise AI Market Assessment—by Offering
SolutionsServicesProfessional ServicesManaged ServicesGlobal Enterprise AI Market Assessment—by Deployment Mode
On-premise DeploymentCloud-based DeploymentGlobal Enterprise AI Market Assessment—by Organization Size
Large EnterprisesSmall & Medium-sized EnterprisesGlobal Enterprise AI Market Assessment—by Technology
Machine LearningNatural Language ProcessingImage ProcessingSpeech RecognitionGlobal Enterprise AI Market Assessment—by End-use Industry
IT & TelecomNetwork OptimizationCustomer Service Automation and Virtual AssistantsHuman Resource ManagementCustomer AnalyticsCybersecurityOther IT & Telecom Applications BFSISecurity and Risk ManagementStreamlining Regulatory ComplianceCustomer Relationship ManagementReal-Time Transaction MonitoringData Analytics & PredictionOther BFSI Applications HealthcareHospital Workflow ManagementLifestyle ManagementPatient Data & Risk AnalyticsMedical Imaging & DiagnosisPrecision MedicineRemote Patient MonitoringRobot-assisted SurgeryDrug Discovery Retail & E-commerceSearch and RecommendationsCustomer Relationship ManagementInventory ManagementSupply Chain OptimizationIn-store Visual Monitoring & SurveillancePredictive AnalyticsDemand ForecastingChatbots Media & AdvertisementChatbots and Virtual AssistantsPredictive AnalyticsSales & Marketing AutomationAdvertising RecommendationContent GenerationTalent IdentificationProduction Planning & Management AutomotiveAdvanced Driver Assistance SystemsHuman-Machine InterfaceVehicle PersonalizationDesigning and Production ManagementSupply Chain ManagementOther Automotive Applications GovernmentFraud Detection and PreventionAdministrative ProcessesDisaster Management and ResponsePersonalized User SupportOther Government Applications Other End-use IndustriesGlobal Enterprise AI Market Assessment —by Geography
North AmericaU.S.CanadaEuropeGermanyU.K.FranceItalySpainRest of EuropeAsia-PacificChinaJapanIndiaSouth KoreaSingaporeRest of Asia-PacificLatin AmericaMiddle East & AfricaRelated Reports:
Conversational AI Market by Offering, Application, Organization Size, Deployment Mode, Sector (IT & Telecommunications, BFSI, Retail & E-commerce, Healthcare & Life Sciences, Travel & Hospitality, Education, Manufacturing) – Global Forecast to 2030
Speech and Voice Recognition Market by Function (Speech, Voice Recognition), Technology (AI and Non-AI), Deployment Mode (Cloud, On-premise), End User (Consumer Electronics, Automotive, BFSI, Other End Users), and Geography – Global Forecast to 2030
AI in Manufacturing Market by Component, Technology (ML, NLP, Computer Vision), Application (Predictive Maintenance & Machinery Inspection, Quality Management, Supply Chain Optimization), End-use Industry – Global Forecast to 2030
AI in E-commerce Market by Technology (ML, NLP, Computer Vision), Business Model, Deployment Mode, Product Offering (Beauty & Fashion, Pharmaceutical, Electronic), End User (B2B, B2C), and Geography – Global Forecast to 2031
Healthcare Artificial Intelligence Market by Offering (Software, Services), Technology (ML, NLP), Application (Hospital Workflow Management, Patient Management), End User (Hospitals & Diagnostic Centers), and Geography – Global Forecast to 2031
About Meticulous Research®
Meticulous Research® was founded in 2010 and incorporated as Meticulous Market Research Pvt. Ltd. in 2013 as a private limited company under the Companies Act, 1956. Since its incorporation, the company has become the leading provider of premium market intelligence in North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa.
The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze, and present the critical market data with great attention to details. With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.
Contact:
Mr. Khushal BombeMeticulous Market Research Inc.1267 Willis St, Ste 200 Redding,California, 96001, U.S.USA: +1-646-781-8004Europe : +44-203-868-8738APAC: +91 744-7780008Email- [email protected] Visit Our Website: https://www.meticulousresearch.com/Connect with us on LinkedIn- https://www.linkedin.com/company/meticulous-researchContent Source: https://www.meticulousresearch.com/pressrelease/1041/enterprise-ai-market-2031
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Artificial Intelligence

Virtual Assistant Market Size to Grow USD 8613.5 Million by 2030 at a CAGR of 22.3% | Valuates Reports

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BANGALORE, India, May 2, 2024 /PRNewswire/ — Virtual Assistant Market is Segmented by Type (Fax, Media), by Application (Retail & Ecommerce, BFSI, Automotive, Healthcare).

The Global Virtual Assistant Market was valued at USD 2054.5 Million in 2023 and is anticipated to reach USD 8613.5 Million by 2030, witnessing a CAGR of 22.3% during the forecast period 2024-2030.
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Major Factors Driving the Growth of Virtual Assistant Market:
Because of its advanced digital infrastructure and early acceptance of technology, North America is the leader in the virtual assistant business. With so many tech-savvy professionals in the US and Canada, virtual assistant jobs are becoming more and more appealing to them as flexible work options. This region’s virtual assistant platform industry is growing due in part to the presence of large technological corporations and startups. Furthermore, as companies look for affordable options for administrative help, the surge in remote work trends—particularly in the wake of the pandemic—has increased demand for virtual assistants.
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TRENDS INFLUENCING THE GROWTH OF THE GLOBAL VIRTUAL ASSISTANT MARKET
The growing requirement for efficient administrative support services is driving the virtual assistant market in the BFSI sector. Virtual assistants, who manage administrative tasks including data entry, document preparation, and email correspondence, are a wonderful asset to financial firms. Their remote access to planning resources from a home office makes it easier for clients to cooperate and boosts output. Additionally, virtual assistants with specialised knowledge in banking, finance, and regulatory compliance improve customer service and operational performance in the BFSI sector.
Because they offer administrative help to companies in the retail and e-commerce sectors, virtual assistants are essential to this industry. Virtual assistants let retailers focus on their main business activities by streamlining their operations and performing tasks like inventory management, product listing updates, and customer questions and orders processing. Their remote access to common calendars and other planning materials guarantees smooth client collaboration and improves responsiveness to client requests. Because virtual assistants provide flexible support services that can adjust to changing demand levels, they can help retail and e-commerce enterprises scale.
Virtual assistants are fostering growth in the automotive industry by offering administrative support services to companies in this field. Virtual assistants help auto firms with a range of duties, such as addressing client questions, making appointment arrangements, and organising logistics for car delivery and maintenance. The flexibility and efficiency of the automotive supply chain are increased by their remote access to planning documents and capacity to work from home offices. Furthermore, virtual assistants enhance client satisfaction by offering prompt help and support during the whole lifespan of a vehicle.
The market for virtual assistants is expanding in the healthcare industry as providers look to enhance patient care and streamline administrative procedures. Virtual assistants help healthcare businesses by taking care of patient queries, organizing appointments, and helping with medical paperwork duties. They may collaborate with healthcare professionals more easily and efficiently since they can work from home offices and access shared calendars and patient information. By promptly responding to questions and concerns about healthcare, virtual assistants can help to increase patient satisfaction.
The demand for cost-cutting and operational efficiency, the emergence of software-defined networking (SDN) technologies, and the growing complexity of network infrastructures are the main drivers of the market for network automation. In response to expanding digital transformation projects and the growth of cloud-based services and apps, organisations across a wide range of sectors are adopting automation to increase agility, streamline network administration operations, and boost security posture.
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VIRTUAL ASSISTANT MARKET SHARE ANALYSIS
Due to the region’s early technological adoption and strong digital infrastructure, North America now dominates the virtual assistant industry. There is a sizable pool of tech-savvy workers in the US and Canada who are increasingly looking for flexible work options in virtual assistant professions. The existence of established tech firms and new ventures focused on virtual assistant platforms contributes to the expansion of this industry in this area. In addition, as companies look for affordable options for administrative help, the need for virtual assistants has increased due to the rise in remote work patterns, particularly in the wake of the pandemic.
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Key Companies:
OracleNuance CommunicationsMicrosoftInbenta TechnologiesSamsung ElectronicsAppleIBMIntelGOOGLE INCAmazonPurchase Chapters: https://reports.valuates.com/market-reports/QYRE-Auto-21S6075/global-and-united-states-virtual-assistant/1 
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–  Conversational AI Platforms market was valued at USD 2352.3 Million in 2023 and is anticipated to reach USD 5331 Million by 2030, witnessing a CAGR of 12.1% during the forecast period 2024-2030.
–  Augmented and Virtual Reality Market
–  Virtual Fitting Room market size was USD 2973.1 Million in 2022 and is forecast to a readjusted size of USD 8501.1 Million by 2029 with a CAGR of 16.0% during the forecast period 2023-2029.
–  The generative ai market was valued at USD 8.15 Billion in 2021, and is estimated to reach USD 126.5 Billion by 2031, growing at a CAGR of 32% from 2022 to 2031.
–  The global AI Content Generation market was valued at USD 1400 Million in 2022 and is anticipated to reach USD 5958 Million by 2029, witnessing a CAGR of 27.3% during the forecast period 2023-2029.
–  AIGC Large Model Market
–  The global Digital Process Automation market size is projected to reach USD 11770 Million by 2027, from USD 6451.8 Million in 2020, at a CAGR of 8.5% during 2021-2027.
–  Application Modernization Services Market
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