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ADAS Market worth $65.1 billion by 2030 – Exclusive Report by MarketsandMarkets™

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ADAS Market is projected to grow from USD 30.9 billion in 2022 to USD 65.1 billion by 2030, registering a CAGR of 9.7%., according to a new report by MarketsandMarkets™. The demand for Advanced Driver Assistance Systems (ADAS) is increasing quickly due to the rise in traffic accidents on a global scale. To make driving safer and cut down on accidents, automakers are heavily investing in the development of these technologies. Customers are increasingly choosing vehicles with ADAS capabilities as they become more aware of the safety advantages of these systems. The need for ADAS is being further increased by governments drafting legislation to make such systems required in vehicles.

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Browse in-depth TOC on “ADAS Market”

456 – Tables
95 – Figures
492 – Pages

ADAS Market Scope:

Report Coverage

Details

Market Size

USD 65.1 billion in 2030

Growth Rate

9.7% of CAGR

Largest Market

Asia Pacific

Market Dynamics

Drivers, Restraints, Opportunities & Challenges

Forecast Period

2022-2030

Forecast Units

Value (USD Billion)

Report Coverage

Revenue Forecast, Competitive Landscape, Growth Factors, and Trends

Segments Covered

System, Component, Offering, Electric Vehicle, Level of Autonomy, Vehicle Type, Vehicle Class, Sales Channel, and Region

Geographies Covered

North America, Europe, Asia Pacific, Rest of the World

Report Highlights

Updated financial information/Company Evaluation Quadrant

Key Market Opportunities

Increasing demand of autonomous vehicles

Key Market Drivers

ADAS to increase vehicle safety

BEV segment to be the largest market by value during forecast period

BEVs have an increasing demand due to concerns about emission reductions worldwide. Due to the low availability of charging stations and the high cost of EV batteries, BEVs had a low demand. However, the demand for BEVs has increased significantly due to the decreasing cost of EV batteries at a fast and steady rate coupled with increasing EV range and a growing EV charging network worldwide. BEVs contributed to a considerable part of top-selling EVs in the market in 2022. BEVs are available in multiple segments, including sedans, SUVs, and hatchbacks. Many OEMs are launching electric vehicles to cater to the market demand. Tesla, Volkswagen AG (Germany), SAIC Motors (China), BYD, and Stellantis (Netherlands) are the pure electric vehicle companies topping sales. In contrast, OEMs such as Nissan, Toyota, and GM offer tough competition to electric vehicle manufacturers. Tesla is a bestseller in North America and Europe, whereas Wuling HongGuang Mini EV is a low-cost EV popular in China. BEV models such as Tesla Model X offer autopilot ADAS features, including adaptive cruise control, auto park, and lane departure warning systems. OEMs such as Nissan, BMW, Mercedes Benz, Ford, GM, and others provide ADAS features across their premium models. For instance, Nissan offers pro-pilot features to its Nissan Leaf and Nissan Altima electric cars. The pro-pilot ADAS features include ACC, IPA, and LDW. Similarly, Mercedes Benz provides a drive-pilot for its S Class model, which comes with autonomous emergency braking, blind spot detection, lane change warning, evasive steering assist, traffic jam assist, speed limit assist, and remote parking assist. Mercedes is one of the best providers of level 3 automation in passenger cars.

Software to be the fastest growing segment during the forecast period

Increasing demand for accurate and faster object recognition will be a major growth driver for the software segment of the ADAS market. Modern vehicles are equipped with high-resolution cameras and long-range radar sensors for driver assistance. Hence, developments in image recognition technology will play a critical role in deploying these sensors in upcoming vehicles. Newer features such as pedestrian recognition, cyclist recognition, vehicle detection, driver monitoring systems, and traffic sign recognition are being tested, and plans to roll them out in more vehicles for improved occupant safety are underway. More sophisticated ADAS features would demand faster and more accurate software algorithms/platforms for detecting objects with low latency. BlackBerry (Canada) has developed QNX as a modular, flexible, and hardware-optimized software platform for ADAS applications. ADAS software consists of algorithms that perform pre-decided functions based on the input data from cameras, radar, LiDAR, and ultrasonic sensors. The input data is processed by the ECUs and activates the physical vehicle components such as steering, brakes, throttle, and others to evade accidents. The entire process is controlled and monitored by the software platform, from analyzing the input data to the decision-making. Automakers are turning toward deep learning as they look for innovative ways to enable smart camera applications and automated driving systems for next-generation vehicles. In December 2020, Renesas Electronics (Japan) developed an R-car software development kit. This complete software platform enables quick and easy software development and offers validation for smart cameras and automated driving applications used in commercial, passenger, and off-road vehicles. It manages the software complexity and supporting features ranging from entry safety compliance to advanced highway pilot.

Europe is leading the ADAS market as of 2022″

Automotive is one of the key industries in Europe. In June 2022, the region had 301 automobile assembly and production plants, of which 134 produce passenger cars, 41 produce vans, 52 build trucks, 66 produce buses, 72 make engines, and 18 make batteries. According to the European Automobile Manufacturers Association (ACEA), Europe accounted for around 22% of global vehicle production in 2022. The European automotive market registered steady growth in the last six years despite the recent global automotive slowdown. Leading European automotive manufacturers to offer high-performance engines and advanced safety features to stay competitive. Passenger car sales of major automakers such as the Volkswagen Group, Mercedes BenzRenault, Hyundai, BMW, Toyota, and Stellantis led to the demand for ADAS-enabled vehicles in the region.

According to experts, stringent emission regulations and zero emission targets in Europe would majorly affect both passenger car and commercial vehicle manufacturers during the forecast period. The growth of the European ADAS market can be attributed to technological advancements in driver assistance features such as traffic jam assist and blind-spot detection with rear cross-traffic and mandates that have been set up since July 2022 or features such as DMS, AEB and LCW in passenger cars. The growing shift to EVs and the growing demand for road safety will increase ADAS demand in the region.

However, the region will be affected by the upcoming recession, which will impact the automotive market. Factors such as the ongoing energy crisis and the increasing cost of living in this region, with minimal salary growth to match the price inflation, will lead to reduced automotive demand. Countries such as GermanyNetherlandsFrance, and the UK have already been severely impacted due to these factors.

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ADAS Market Dynamics:

Drivers:

  1. Increased safety of vehicles.
  2. Comfort features associated with ADAS.
  3. Increasing interest of customers in luxury vehicles.
  4. Integration of radar and cameras in modern cars.

Restraints:

  1. ADAS infrastructure at developing stage.
  2. Consumer acceptance of autonomous cars.

Opportunities:

  1. Increasing demand for autonomous vehicles.
  2. Emergence of 5G technology for vehicles.
  3. Increasing adoption of IoT and GPS in ADAS.
  4. Increasing adoption of electric vehicles.
  5. New trends in shared automotive mobility.

Challenges:

  1. Hight cost of integration.
  2. Environmental constraints and security threats.
  3. Maintaining balance between cost and quality.
  4. Lag in real-time image processing in multi-camera systems.


Key Market Players:

The ADAS market is dominated by established players such as Robert Bosch (Germany), Denso (Japan), Continental AG (Germany), Magna International (US), and ZF Friedrichshafen (Germany), among others. These companies provide ADAS components to global OEMs. These companies have set up R&D infrastructure and offer best-in-class products to their customers.

Recent Developments:

  • In January 2023, ZF Friedrichshafen AG launched Smart Camera 4.8. It enables autonomous cars to have a wider field of view, enabling the vehicle to identify pedestrians, cyclists, and other vehicles.
  • In December 2022, Robert Bosch GmbH launched the 6G-ICAS4 mobility project to integrate communication and radar systems into a single 6G system.
  • In September 2022, ZF has presented its advanced new electric power steering (EPS) system for trucks, coaches, and city buses. The EPS was prepared for steer-by-wire and up to level 5 autonomous driving. eWorX, ZF’s electrified commercial vehicle power take-off (PTO) system for driving on-board work equipment, has also been presented, offering emission-free city and urban operation.
  • In November 2021, Robert Bosch GmbH developed a Ridecare solution for vehicles to ensure a safe and pleasant driving experience. This solution will sense the smell of smoke, vehicle scratch, and dents.
  • In July 2021, According to Magna International, the deployment of its Icon Radar in the Fisker Ocean early in 2022 introduced a digital radar for driver assistance. The radar improves an automobile’s ability to visualize its surroundings and identify possible threats, such as a car stuck in a dark tunnel or a pedestrian up to 150 meters distant. Higher levels of autonomy, according to Magna, would arise from digital radar. It can detect open passageways and low-lying items on congested, multi-lane roadways in addition to vehicles and pedestrians.
  • In January 2021, Magna partnered with Fisker to develop an ADAS, which will be applied to the Fisker Ocean SUV, expected to be launched by 2023. This new business win demonstrates Magna’s ability to bring scale and efficiency to the mobility landscape and represents an important expansion of the EV platform sharing, vehicle engineering, and manufacturing cooperation between the two companies.
  • In January 2021, Aptiv PLC launched its next-generation ADAS platform. It formalizes the interfaces for sensors and feature functions. The platform enables extensive reuse of base software components, lowering development costs. It works flawlessly with a zonal architecture in which I/O and compute are separated.

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Browse Adjacent Market: Automotive and Transportation Market Research Reports & Consulting

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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.

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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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–  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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