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Outlook on the Blockchain Technology Global Market to 2028: Increased Blockchain within Traditional Financial Institutions Drives Growth

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Dublin, March 27, 2023 (GLOBE NEWSWIRE) — The “Blockchain Technology Market by Use Case, Business Model, Solutions, Services and Applications in Industry Verticals 2023 – 2028” report has been added to ResearchAndMarkets.com’s offering.

This report examines the technology, leading companies, and solutions in the evolving blockchain ecosystem. The report evaluates current and anticipated use cases for blockchain and assesses the market potential globally, regionally, and segmented by deployment type and industry vertical.

The report also evaluates key players, solutions, and use cases. The report also assesses the prospect of integrating blockchain with other technologies including IoT and artificial intelligence. The report includes forecasts by use case, application, and industry verticals from 2023 to 2028.

Select Report Findings:

  • Distributed ledgers and other blockchain capabilities are rapidly expanding outside finance
  • The blockchain technology market will grow at 67.4% CAGR through 2028 reaching $71 billion
  • Substantial blockchain opportunities include data decentralization, data usage control, and encryption
  • Consortium/hybrid blockchain will be the largest North America blockchain tech area at $8.1 billion by 2028
  • The preponderance of blockchain revenue will be derived from three types of services: Blockchain-as-a-Service (BaaS), Cloud Computing (hosting and data as a service), and Systems Integration
  • Companies like Accenture will lead the charge for systems integration and companies like Amazon, Dell, HPE, and IBM will lead for BaaS and Cloud Computing. Other companies will fill important niche roles.

Block technology provides a certain means of authentication, authorization, and accounting. Blockchain and related distributed authentication and accounting technologies are poised to transform ICT, and is so doing, causing substantial disintermediation across a wide variety of industry verticals.

Lessons learned in FinTech and traditional banking from the deployment and operation of decentralized authentication, clearing, and settlement will be applied towards many telecom and computing problems for the benefit of many industry verticals. The impact will be wide-ranging, including everything from investing/trading to the legal cannabis industry, and very deep in terms of changes to supply chains and relationships between vendors, customers, and peers.

Integration and operation of Blockchain technology will redefine how various industries operate, dramatically improving efficiencies, and reducing the cost of doing business. For example, start-up companies have been launched to provide software and microchip hardware that facilitates connected devices to operate on blockchain. Products have been designed to encrypt data, distribute information to blockchain-connected machines, and monetize these machines.

One important technology integration area is the Internet of Things (IoT), which is a very promising area as we anticipate that the use of Blockchain in IoT networks/systems will be one of the most important means for authenticating and authorizing transactions. For example, HYPR provides solutions to reduce cybersecurity risks in IoT devices through its decentralized credential approach. Their products reduce the need for passwords in a centralized server, replacing them with biometric and other password-free solutions. This provides for IoT devices that are virtually unhackable from a social engineering perspective.

Another important area for blockchain in telecommunications is resource identity including tracking ownership and care of custody of assets such as telephone numbers. Developments in this area may be leveraged to dramatically improve enterprise identity verification for voice and non-voice communications to consumers.

We also see Blockchain as a Service (BaaS) representing a key service offering for many market segments as a means of solution introduction and scalability via a cloud services model. For example, AI in supply chain management solutions combined with blockchain technology market solutions to dramatically improve SCM.

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction

3.0 Blockchain Ecosystem and Marketplace
3.1 Blockchain Types and Stakeholders
3.2 Blockchain Applications
3.2.1 Financial Services
3.2.2 Non-Financial Services
3.3 Blockchain Application in Industry Verticals
3.3.1 Financial Industries
3.3.2 Manufacturing and FMCG
3.3.3 Government and Public Sectors
3.3.4 Healthcare and Life Science
3.3.5 Telecommunication, Media, and IT
3.3.6 Automotive Vehicles and Transportation
3.3.7 Retail and E-Commerce
3.3.8 Other Sectors
3.4 Blockchain in Internet of Things
3.5 Blockchain as a Service
3.6 Blockchain Stakeholders in ICT
3.7 Blockchain to Improve Cybersecurity
3.8 Blockchain Investment Analysis
3.9 Important Blockchain Consortia and Associations
3.9.1 R3cev Blockchain Consortium
3.9.2 Post Trade Distributed Ledger Group
3.9.3 Hyperledger Project
3.9.4 Global Payments Steering Group
3.9.5 Financial Blockchain Shenzhen Consortium
3.9.6 Cu Ledger
3.9.7 Blockchain Collaborative Consortium
3.9.8 Wall Street Blockchain Alliance
3.9.9 Japan Blockchain Association
3.9.10 Korea Financial Investment Association
3.9.11 Nimbrix Consortium
3.9.12 B3i
3.10 Blockchain Solutions in Industry Verticals
3.10.1 Japan Exchange Group Blockchain Consortium
3.10.2 Walmart Blockchain for Food Safety
3.10.3 Ubitquity Blockchain in Real Estate
3.10.4 HYPR and Blockchain Biometrics
3.10.5 Whaleclub Trading Supported by Blockchain
3.10.6 EasyBit Expands Bitcoin ATM Network to Vietnam
3.10.7 Blockchain Technology as Medium to Declare Love and Marriage
3.10.8 Bitcoin Boosts Solar Energy Industry
3.10.9 LO3 Energy and Siemens Blockchain for Microgrids
3.10.10 MasterCard Blockchain APIs
3.10.11 ConsenSys and UAE Partnership for Blockchain Projects
3.10.12 People’s Bank of China Digital Currency
3.10.13 China Halts withdrawals of Bitcoin
3.10.14 Huiyin Group Bitcoin Fund
3.10.15 BitFury Group and Blockchain
3.10.16 Reserve Bank of India Blockchain Technology for Trade Applications
3.10.17 YES Bank to Multi-nodal Blockchain Solution for Bajaj Electricals
3.10.18 European Bank Digital Trade Chain
3.10.19 BTL Group to Test Interbit Platform with Energy Companies
3.10.20 BNP Paribas Test Blockchain-Based Real-Time Corporate Payments
3.10.21 WISeKey to Establish IoT Blockchain Center of Excellence
3.10.22 ARK Crew Testnet for Blockchain
3.10.23 ICICI Bank and NBD Blockchain-based Transactions
3.10.24 PAXOS Blockchain for Gold Settlement with Euroclear
3.10.25 Microsoft and BAML Blockchain Improve Trade Finance
3.10.26 Mahindra Group Blockchain Solution with IBM
3.10.27 Chitkara University Blockchain for E-Documents
3.10.28 UBS Expands Blockchain in China
3.10.29 IBM China and UnionPay Permissioned Blockchain Network
3.10.30 IBM and Beijing Energy-Blockchain Labs Use Blockchain for Carbon Trading
3.10.31 European Central Bank and Japan Central Bank Explore Blockchain
3.10.32 OneCoin Enhanced Blockchain
3.10.33 Sompo Japan Use Blockchain for Catastrophe and Weather Derivatives
3.10.34 Tech Bureau and Zaif Bitcoin Exchange
3.10.35 Hitachi and BTMU Utilize Blockchain to Bank Check
3.10.36 Senegal National Digital Currency
3.10.37 Singapore Blockchain for Electronic Payment System
3.10.38 Accenture and Digital Asset Holdings Blockchain Practice
3.10.39 RISE Financial Technologies Post-Trade Blockchain Technology
3.10.40 VISA to Introduce Blockchain-Based Solution for Payment Services
3.10.41 Chain Inc. Released Open Source Blockchain Protocol
3.10.42 Colu and Blockchain-Based Currencies
3.10.43 DigitalX Partnership with Telefonica
3.10.44 Eris Industries Partners with Ledger Improve Blockchain Hardware Security
3.10.45 Monax Industries Partnership with Ledger for Blockchain Hardware Security
3.10.46 German Central Bank, Deutsche Bundesbank Blockchain Trading Prototype
3.10.47 UK Trials Blockchain Welfare Payment System
3.10.48 Santander Blockchain for International Payments
3.10.49 Electron Ethereum Blockchain in UK Energy Sector
3.10.50 Bank of Russia Tests Masterchain
3.10.51 GoCoin Merges with Ziftr
3.10.52 Tunisia National Payment Platform
3.10.53 Digital Asset Acquired Elevence
3.10.54 NASDAQ Blockchain in Private Market with Chain Inc.
3.10.55 AlphaPoint Blockchain Tool for Banks

4.0 Blockchain Market Dynamics
4.1 Market and Technology Drivers
4.1.1 Increased Blockchain within Traditional Financial Institutions
4.1.2 Digitization for Improved Service Realization and Error Prevention
4.1.3 Cloud-based Service Delivery Models
4.2 Challenges and Opportunities
4.2.1 Security Issues
4.2.2 Regulation and Governance
4.2.3 Mergers and Acquisitions

5.0 Blockchain Market Case Studies
5.1 Blockchain Asset Management and Real Estate Case Study
5.2 Blockchain Case Study for Government in the UAE
5.3 Honeywell Aerospace creates online parts marketplace with Hyperledger Fabric
5.4 SGX Used Amazon Managed Blockchain for an Innovative Payment Solution
5.5 Zug Digital ID Case Study
5.6 ING Group: KYC System on Blockchain
5.7 Streamlining Efficiency in Logistics with IoT Blockchain
5.8 Palm Oil Industry Case Study Using Blockchain and IoT

6.0 Blockchain Market Outlook and Forecasts 2023 – 2028
6.1 Global Market Forecast 2023 – 2028
6.2 Blockchain Markets by Solution 2023 – 2028
6.3 North America Blockchain Technology Markets 2023 – 2028
6.4 Europe Blockchain Technology Markets 2023 – 2028
6.5 Asia Pacific Blockchain Technology Markets 2023 – 2028
6.6 Middle East & Africa Blockchain Technology Markets 2023 – 2028
6.7 Latin America Blockchain Technology Markets 2023 – 2028

7.0 Blockchain Vendor Analysis
7.1 21, Inc.
7.1.1 Company Overview
7.1.2 Recent Development
7.2 Accenture
7.3 Abra, Inc.
7.4 Alphapoint Corporation
7.5 Amazon
7.6 Baidu
7.7 Bitfury Group
7.8 Blockchain Global Limited
7.9 BlockCypher, Inc.
7.10 Bloq
7.11 BTL Group (Blockchain Tech Ltd.)
7.12 Interstellar, Inc.
7.13 Circle Internet Financial Limited
7.14 Coinbase
7.15 Coinfirm Ltd.
7.16 ConsenSys Systems
7.17 Credits
7.18 Dell Technologies
7.19 Deloitte Touche Tohmatsu
7.20 Digital Asset Holdings
7.21 Digitalx Ltd.
7.22 DMG Blockchain Solutions
7.23 Earthport (Visa)
7.24 Factom Inc.
7.25 Fidelity Investments
7.26 Global Arena Holding, Inc.
7.27 HP
7.28 Holo
7.29 HyperLedger
7.30 IBM Corporation
7.31 Intelygenz
7.32 IOTA
7.33 Libra Services, Inc.
7.34 Linux Foundation
7.35 Microsoft Corporation
7.36 Monax
7.37 NASDAQ
7.38 Overstock
7.39 R3
7.40 Ripple
7.41 ShoCard (Ping Identity)
7.42 TenCent

8.0 Conclusions and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/o6678d

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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.

Download Free Sample Report: https://www.meticulousresearch.com/download-sample-report/cp_id=5806
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.
Brows in Depth Report: https://www.meticulousresearch.com/product/enterprise-ai-market-5806
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:
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–  The intelligent virtual assistant market size was valued at USD 3,442 Billion in 2019, and is projected to reach USD 44,255 Billion by 2027, growing at a CAGR of 37.7% from 2020 to 2027.
–  Intelligent Virtual Assistant (IVA) Solution market was valued at USD 477 Million in 2023 and is anticipated to reach USD 798.8 Million by 2030, witnessing a CAGR of 7.6% during the forecast period 2024-2030.
–  Healthcare Virtual Assistants market size is projected to reach USD 996.2 Million by 2028, from USD 293.9 Million in 2021, at a CAGR of 18.5% during 2022-2028.
–  Intelligent Virtual Assistant (IVA) Based Insurance Market
–  Automotive Virtual Assistant Market
–  Medical Virtual Assistant market is projected to reach USD 2668.4 Million in 2029, increasing from USD 487 Million in 2022, with a CAGR of 27.9% during the period of 2023 to 2029.
–  Text-based Intelligent Virtual Assistant Market
–  Virtual Medical Assistant Service Market
–  Intelligent Virtual Assistant Software market was valued at USD 3040 Million in 2023 and is anticipated to reach USD 9636.3 Million by 2030, witnessing a CAGR of 17.3% during the forecast period 2024-2030.
–  Virtual Customer Assistant Application Market
–  Virtual Receptionist Service Market
–  Virtual Secretary Service market is projected to reach USD 912.2 Million in 2029, increasing from USD 412 Million in 2022, with a CAGR of 10.8% during the period of 2023 to 2029.
–  OEM Voice Assistant Market
–  Virtual Shopping Assistant market is projected to reach USD 1578 Million in 2029, increasing from USD 581.5 Million in 2022, with a CAGR of 16.7% during the period of 2023 to 2029.
–  Human Virtual Assistant Services Market
–  Potential Vertical Applications for AI Virtual Assistant
–  Virtual Assistant Service Market
–  AI In Telecommunication market was valued at USD 2482 Million in 2022 and is anticipated to reach USD 19170 Million by 2029, witnessing a CAGR of 40.6% during the forecast period 2023-2029.
–  Metaverse market size is projected to reach USD 28 Billion by 2028, from 510 USD Million in 2022, at a CAGR of 95% during 2022-2028.
–  The global conversational AI market size was valued at USD 5.78 billion in 2020, and is projected to reach USD 32.62 billion by 2030, registering a CAGR of 20.0% from 2021 to 2030.
–  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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