Artificial Intelligence
The Global AI Text Generator Market size is expected to reach $1 billion by 2028, rising at a market growth of 17.8% CAGR during the forecast period
New York, Jan. 25, 2023 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global AI Text Generator Market Size, Share & Industry Trends Analysis Report By Application, By Component, By Industry, By Regional Outlook and Forecast, 2022 – 2028” – https://www.reportlinker.com/p06412001/?utm_source=GNW
As AI text generators produce texts in just a few seconds, this tool’s time- and money-saving features are anticipated to accelerate the industry’s growth.
For example, TextCortex generator is one of the tools used to quickly and easily create blog entries by simply entering a few keywords. People and corporations have been inspired to do the absurd by the astonishing growth of artificial intelligence and robots based on AI text generators. Artificial intelligence is no more a sci-fi fantasy; it is a necessary component of modern life, helping people in various circumstances, often without their knowledge.
AI text generators produce texts from organized big data; they may identify patterns and trends based on previous human writing and offer fresh ideas to produce more, and occasionally even better, messages. In order to achieve this, the AI gathers a tonne of data from already existing stuff, including websites, search engines, and even online movies.
A few words, phrases, and paragraphs can be used by artificial intelligence (AI) text generators to generate billions of words on the internet and whole articles. The expansion of the business is being boosted by rising technical advancements, which are expanding the application of software in downstream applications.
Developers have created a variety of alternatives for customers as a result of the rise in demand for such software tools, making it possible to create content for practically any topic using the program. The AI text generator tool includes a considerable amount of machine learning (ML) and natural language generation (NLG), which allow computers to learn from and improve on prior data as well as interact with human language.
COVID-19 Impact Analysis
With the COVID-19 pandemic outbreak, the growth of conversational AI-based technology, like conversational bots, has increased to a great extent. The pandemic would further positively impact the overall growth of the global AI Text Generator Market in the forecast period. Although, the initial phase of the pandemic has brought various obstacles in the business domain due to the low availability of a skilled workforce, imposition of lockdown restrictions, and travel ban. Conversely, the adoption of chatbot solutions within various verticals like retail & e-commerce, healthcare, and telecommunication industries has increased during the pandemic, which would propel the growth of the market throughout the forecast period.
Market Growth Factors
Efficient And Cost-Effective Solution
Modern technology like AI writing has the potential to directly affect content creation. AI writing generators are capable of creating content that is both interesting and SEO-friendly, and they can be used to supplement copywriters’ work or even take their place entirely. Time and money are the most important factors for the majority of project managers trying to profit from AI writers; thankfully, AI engines assist in boosting both profitability and productivity.
The Rise Of Sophisticated Speech-To-Text Programs For Students With Disabilities
The speech-to-text API technology enables a computer to convert video or audio-based content into text, enabling students who have trouble hearing or speaking to read correctly and finish their assignments on their own. A deaf-mute student, for instance, can communicate with classmates and professors with the use of speech-to-text software. As a result, this system serves as assistive technology, enabling people with disabilities to utilise ICT. Therefore, it is projected that these factors will accelerate the growth of the AI Text Generator market as a whole throughout the projection period.
Market Restraining Factors
Hindrance From The Transcription Of Audio From Numerous Channels
This technology has a huge challenge when transcribing audio from several sources since it becomes difficult to define many terms, leading to inaccurate transcriptions or captions. Additionally, background noise, poor microphone quality, reverb and echo, accent shifts, and background noise each have the potential to reduce the accuracy of the transcription. Hence, these factors are anticipated to slow down the growth of the overall AI Text Generator market.
Component Outlook
Based on component, the AI text generator market is classified into Solutions and Services. In 2021, the Solutions segment acquired a Substantial revenue share of the market. APIs and Software Development Kits (SDKs) in the software market enable existing software or applications to convert video-based material to text format. The suppliers also provide related solutions to help streamline processes and create seamless results.
Application Outlook
Based on application, the market is classified into Text to Text, Speech/Voice to Text, and Image/Video to Text. In 2021, the text-to-text segment generated the largest revenue share. Copywriters, SEO companies, and marketers have found AI text generators to be useful tools as their use has increased. Users can benefit from AI text generators by improving consistency in the material, concentrating on more macro-level details, and optimizing the content, among other things.
Industry Outlook
Based on the Industry, the AI Text Generator Market is segmented into Media & Entertainment, Healthcare, Education, IT & telecommunications, Social Media & Networking, Ecommerce, and Others. The IT & Telecom segment gained a significant revenue share of the market in 2021. Through speech recognition, analytics, and reporting, the IT and telecom industries appear to be adopting voice technology to automate and enhance customer experience. Moreover, a growing number of IT and telecom companies are utilizing these solutions to streamline their communication and other business operations.
Regional Outlook
Based on the region, the market is divided into North America, Europe, Asia Pacific, and LAMEA. In terms of revenue share in 2021, North America dominated the AI text generator market worldwide. Key advantages, including enhanced user experience, greater content creation, more ranking keywords, time savings for content development, and rising investments in developed nations for implementing AI text generator technology, are propelling the market growth.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include AI Writer Technologies FZ-LLC, CopyAI, Inc., Frase, Inc. (Copysmith Artificial Intelligence, Inc.), HyperWrite (OthersideAI, Inc.), INK Content, Inc., Jasper, Inc., Humanity Plus Technologies Private Limited (LongShot.AI), OpenAI, L.L.C., Pepper Content Pvt. Ltd., and Writesonic, Inc.
Scope of the Study
Market Segments covered in the Report:
By Application
• Text To Text
• Speech/Voice To Text
• Image/Video To Text
By Component
• Services
• Solutions
By Industry
• E-commerce
• Media & Entertainment
• Social Media & Networking
• Healthcare
• IT & Telecommunication
• Education
• Others
By Geography
• North America
o US
o Canada
o Mexico
o Rest of North America
• Europe
o Germany
o UK
o France
o Russia
o Spain
o Italy
o Rest of Europe
• Asia Pacific
o China
o Japan
o India
o South Korea
o Singapore
o Malaysia
o Rest of Asia Pacific
• LAMEA
o Brazil
o Argentina
o UAE
o Saudi Arabia
o South Africa
o Nigeria
o Rest of LAMEA
Companies Profiled
• AI Writer Technologies FZ-LLC
• CopyAI, Inc.
• Frase, Inc. (Copysmith Artificial Intelligence, Inc.)
• HyperWrite (OthersideAI, Inc.)
• INK Content, Inc.
• Jasper, Inc.
• Humanity Plus Technologies Private Limited (LongShot.AI)
• OpenAI, L.L.C.
• Pepper Content Pvt. Ltd.
• Writesonic, Inc.
Unique Offerings
• Exhaustive coverage
• Highest number of market tables and figures
• Subscription based model available
• Guaranteed best price
• Assured post sales research support with 10% customization free
Read the full report: https://www.reportlinker.com/p06412001/?utm_source=GNW
About Reportlinker
ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need – instantly, in one place.
__________________________
Artificial Intelligence
Data Center Chip Market Size was Valued at USD 11.7 Billion in 2022 and is Expected to Reach USD 45.3 Billion by 2032 at a CAGR of 14.6% | Valuates Reports
BANGALORE, India, July 26, 2024 /PRNewswire/ — Data Center Chip Market By Chip Type (GPU, ASIC, FPGA, CPU, Others), By Data Center Size (Small and Medium Size, Large Size), By Industry Verticals (BFSI, Manufacturing, Government, IT and Telecom, Retail, Transportation, Energy and Utilities, Others): Global Opportunity Analysis and Industry Forecast, 2023-2032.
The Data Center Chip Market was valued at USD 11.7 Billion in 2022, and is estimated to reach USD 45.3 Billion by 2032, growing at a CAGR of 14.6% from 2023 to 2032.
Get Free Sample @ https://reports.valuates.com/request/sample/ALLI-Auto-2B326/Data_Center_Chip_Market
Major Factors Driving the Growth of Data Center Chip Market
Because of the growing need for data processing and storage solutions brought about by the quick development of cloud computing, artificial intelligence, and big data analytics, the data center chip market is expanding significantly. High-performance chips are necessary for data centers to process massive volumes of data quickly and efficiently. As a result, advances in chip technology, including CPUs, GPUs, and specialist AI processors, have been made. The need for more resilient and scalable data center infrastructure is fueled in part by the expansion of digital services and Internet of Things (IoT) devices. The market is expanding due to key areas including Asia-Pacific, with its investments in technology and fast digital transformation, and North America, with its top tech businesses and vast data center networks.
View Full Report @ https://reports.valuates.com/market-reports/ALLI-Auto-2B326/data-center-chip
TRENDS INFLUENCING THE GROWTH OF THE DATA CENTER CHIP MARKET:
In data centers, Graphics Processing Units (GPUs) are essential for speeding up computing operations and data processing. They are perfect for managing workloads related to artificial intelligence (AI), machine learning, and large-scale data analytics because of their parallel processing capabilities. The need for GPUs in data centers is growing as these technologies become increasingly essential to corporate operations. Businesses are purchasing GPUs in order to increase the effectiveness of their data processing, lower latency, and boost overall performance. The need for data center chips is being driven by the increasing reliance on GPUs for sophisticated computing activities, which is considerably contributing to the market’s rise. This need is further increased by the growing use of AI and machine learning in a variety of sectors, which puts GPUs at the forefront of the data center semiconductor industry.
Compared to general-purpose chips, Application Specific Integrated Circuits (ASICs) provide better performance and efficiency since they are designed specifically for a given application. ASICs are extensively utilized in data centers for specific tasks including networking, data compression, and encryption. ASICs are becoming more and more common as a result of the growth of cloud computing, big data analytics, and blockchain technology, which has increased demand for high-performance, energy-efficient processors. Their capacity to provide tailored performance for certain applications aids data centers in better workload management, power conservation, and operating expense reduction. The market is expanding as a result of the increased preference for ASICs in data centers, which is fueling the need for specialized data center chips.
Large data centers are important users of data center chips; they are run by well-known IT firms and cloud service providers. To manage enormous volumes of data and provide a wide range of services, these facilities need a great deal of processing power and sophisticated computing skills. High-performance data center chips are becoming more and more necessary as a result of the growth of massive data centers and the rising demand for online streaming, cloud services, and digital transactions. These chips are necessary to ensure effective data management, processing, and storage, which helps big data centers fulfill the increasing expectations of its clientele. Large data center proliferation is anticipated to considerably boost the data center chip industry as the digital economy continues to grow.
Data centers are becoming more and more important to the Banking, Financial Services, and Insurance (BFSI) industry as a means of safely and effectively managing high transaction volumes, consumer data, and financial records. The need for sophisticated data center processors is being driven by the sector’s requirement for real-time data processing, high-performance computing, and strong security measures. BFSI organizations may improve their operational efficiency, guarantee data integrity, and deliver superior client services by utilizing data centers fitted with robust chips. The BFSI sector’s need for data center chips is being driven by the increasing use of online banking, digital banking, and financial analytics tools, all of which increase the requirement for sophisticated data center infrastructure.
The market for data center chips is significantly influenced by the cloud computing industry’s explosive growth. There is a growing need for scalable, effective, and high-performance data center infrastructure as more companies move their operations to the cloud. In order to handle enormous volumes of data, facilitate virtualization, and guarantee flawless service delivery, cloud service providers need sophisticated data center chips. Sturdy data center chips are becoming more and more necessary as cloud-based solutions become more and more popular. Benefits like cost savings, flexibility, and scalability are driving this trend. In places like North America and Europe, where cloud adoption rates are high and data center chip demand is rising rapidly, this tendency is especially significant.
Buy Now @ https://reports.valuates.com/api/directpaytoken?rcode=ALLI-Auto-2B326&lic=single-user
DATA CENTER CHIP MARKET SHARE
In 2022, North America gained a sizable portion of the market.
In 2022, the GPU made up the largest portion of the market share.
Throughout the projection period, large data centers are expected to gain a significant portion.
The BFSI market is anticipated to be one of the most profitable markets.
Purchase Regional Report @ https://reports.valuates.com/request/regional/ALLI-Auto-2B326/Data_Center_Chip_Market
Key Companies:
Advanced Micro Devices IncTaiwan Semiconductor Manufacturing Company LimitedBroadcomHuawei Technologies Co LtdIntel CorporationNVidia CorporationSamsung Electronics Co LtdQualcomm Technologies IncGlobalFoundriesARM LIMITED (SOFTBANK GROUP CORP.)Purchase Chapters @ https://reports.valuates.com/request/chaptercost/ALLI-Auto-2B326/Data_Center_Chip_Market
SUBSCRIPTION
We have introduced a tailor-made subscription for our customers. Please leave a note in the Comment Section to know about our subscription plans.
DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!
– The global modular data center market size was valued at USD 14,952 Million in 2019 and is projected to reach USD 59,971 Million by 2027, registering a CAGR of 18.7% from 2020 to 2027.
– Data Centre Market was estimated to be worth USD 137500 Million in 2023 and is forecast to a readjusted size of USD 412740 Million by 2030 with a CAGR of 16.8% during the forecast period 2024-2030.
– Data Center PCIe Chip market was valued at USD 194.9 Million in 2023 and is anticipated to reach USD 377.4 Million by 2030, witnessing a CAGR of 10.2% during the forecast period 2024-2030.
– Data Center Accelerator Market
– Data Center Networking Market
– According to a new report published by , titled, “Big Data Analytics in Semiconductor & Electronics Market,” The big data analytics in semiconductor & electronics market was valued at D18.7 billion in 2021, and is estimated to reach D47.2 billion by 2031, growing at a CAGR of 9.9% from 2022 to 2031.
– IoT market was valued at USD 34250 Million in 2023 and is anticipated to reach USD 74630 Million by 2030, witnessing a CAGR of 11.6% during the forecast period 2024-2030.
– Data Center AI Accelerator Chip Market
– Electro-absorption Modulated Laser Chip Market
– According to a new report published by , titled, “Data Processing Unit Market”, the data processing unit market was valued at D553.96 Million in 2021, and is estimated to reach D5.5 billion by 2031, growing at a CAGR of 26.9% from 2022 to 2031.
– Optical Chip for Data Center Market
– EML Chip Market
– Optical Communication Chip Market revenue was USD 3102.7 Million in 2022 and is forecast to a readjusted size of USD 7251.5 Million by 2029 with a CAGR of 12.9% during the forecast period (2023-2029).
– SiC Power Chip Market
– Silicon Carbide Chip Market
– High Speed Optical Communication Chip Market
– 56G eml Optical Chip Market
– FPGA Master Control Chip Market
– Single-port Industrial Grade Ethernet PHY Chip Market
– AWG Chip Market
– Discrete Graphics Chip Market
– LNOI Optoelectronic Chip Market
– Smartphone Chip Market
– Smartphone TFT-LCD Display Driver Chip Market
– Smart Phone Baseband Chip Market
DISCOVER OUR VISION: VISIT ABOUT US!
Valuates offers in-depth market insights into various industries. Our extensive report repository is constantly updated to meet your changing industry analysis needs.
Our team of market analysts can help you select the best report covering your industry. We understand your niche region-specific requirements and that’s why we offer customization of reports. With our customization in place, you can request for any particular information from a report that meets your market analysis needs.
To achieve a consistent view of the market, data is gathered from various primary and secondary sources, at each step, data triangulation methodologies are applied to reduce deviance and find a consistent view of the market. Each sample we share contains a detailed research methodology employed to generate the report. Please also reach our sales team to get the complete list of our data sources.
YOUR FEEDBACK MATTERS: REACH OUT TO US!Valuates [email protected] U.S. Toll-Free Call 1-(315)-215-3225WhatsApp: +91-9945648335Website: https://reports.valuates.comBlog: https://valuatestrends.blogspot.com/ Pinterest: https://in.pinterest.com/valuatesreports/ Twitter: https://twitter.com/valuatesreports Facebook: https://www.facebook.com/valuatesreports/ YouTube: https://www.youtube.com/@valuatesreports6753 https://www.facebook.com/valuateskorean https://www.facebook.com/valuatesspanish https://www.facebook.com/valuatesjapanese https://valuatesreportspanish.blogspot.com/ https://valuateskorean.blogspot.com/ https://valuatesgerman.blogspot.com/ https://valuatesreportjapanese.blogspot.com/
Logo: https://mma.prnewswire.com/media/1082232/Valuates_Reports_Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/data-center-chip-market-size-was-valued-at-usd-11-7-billion-in-2022-and-is-expected-to-reach-usd-45-3-billion-by-2032-at-a-cagr-of-14-6–valuates-reports-302207745.html
Artificial Intelligence
Industry 4.0 Market to Surpass USD 513.89 Billion by 2031 with Automation Surge | SkyQuest Technology
WESTFORD, Mass., July 26, 2024 /PRNewswire/ — According to SkyQuest, the global Industry 4.0 Market size was valued at USD 133.05 billion in 2022 and is poised to grow from USD 154.6 billion in 2023 to USD 513.89 billion by 2031, growing at a CAGR of 16.2% during the forecast period (2024-2031).
Industry 4.0 or the fourth industrial revolution emphasizes the use of automation and interconnectivity. Employment of advanced technologies such as artificial intelligence, machine learning, robotics, and connected devices to improve the productivity and efficiency of industries. Rapid digitization and advancements in technology are forecasted to bolster the Industry 4.0 market growth over the coming years. The global Industry 4.0 market is segmented into technology, industry vertical, and region.
Download a detailed overview:
https://www.skyquestt.com/sample-request/industry-4-0-market
Industry 4.0 Market Overview:
Report Coverage
Details
Market Revenue in 2023
$ 154.6 billion
Estimated Value by 2031
$ 513.89 billion
Growth Rate
Poised to grow at a CAGR of 16.2%
Forecast Period
2024–2031
Forecast Units
Value (USD Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered
Technology, Industry and Region
Geographies Covered
North America, Europe, Asia Pacific, Latin America, and Middle East and Africa.
Report Highlights
Internet of Things (IoT) technology takes centerstage for Industry 4.0 adoption
Key Market Opportunities
Adoption of smart manufacturing and additive manufacturing practices
Key Market Drivers
Rising demand for automation across all industry verticals
Segments covered in Industry 4.0 Market are as follows:
TechnologyRobots (Traditional Industrial Robots {Articulated robots, Cartesian Robots, Selective Compliance Assembly Robot Arm (SCARA), Cylindrical Robots, Others}, Collaborative Robots), Blockchain in Manufacturing, Industrial Sensors (Level Sensors, Temperature Sensors, Flow Sensors, Position Sensors, Pressure Sensors, Force Sensors, Humidity & Moisture Sensors, Gas Sensors), Industrial 3D Printing, Machine Vision (Camera {Digital Camera, Smart Camera}, Frame Grabbers, Optics, and LED Lighting, Processor and Software), HMI (Offering {Hardware [Basic HMI, Advanced Panel-based HMI, Advanced PC-based HMI, Others], Software [On-premises HMI, Cloud-based HMI], Services}), Configuration ({Embedded HMI, Standalone HMI}, Technology {Motion HMI, Bionic HMI, Tactile HMI, Acoustic HMI}, End-user Industry {Process industries [Oil & Gas, Food & beverages, Pharmaceuticals, Chemicals, Energy & power, Metals & mining, Water & wastewater, Others], Discrete industry [Automotive, Aerospace & defense, Packaging, Medical devices, Semiconductor & electronics, Others]}), AI In Manufacturing (Offering {Hardware [Processor MPU, GPU, FPGA, ASIC, Memory, Network], Software [AI solutions- | On-premises, Cloud |, AI platform- | Machine learning framework, Application program interface |], Services [Deployment & integration, Support & maintenance]}, Technology {Machine learning [Deep learning, Supervised learning, Reinforcement learning, Reinforcement learning, Others], Natural language processing [Context-aware computing, Computer vision]}, Application {Predictive maintenance and machinery inspection, Material movement, Production planning, Field services, Quality control, Cybersecurity, Industrial robots, Reclamation}, Digital Twin {Technology [Internet of Things (IOT), Blockchain, Artificial intelligence & machine learning, Artificial intelligence & machine learning, Big data analytics, 5G], Usage Type [Product digital twin, Process digital twin, System digital twin], Application [Product design & development, Performance monitoring, Predictive maintenance, Inventory management, Business optimization, Others]}, Automated Guided Vehicles (AGV) {Type [Tow vehicles, Unit load carriers, Pallet trucks, Assembly line vehicles, Forklift trucks, Others], Navigation Technology [Laser guidance, Magnetic guidance, Inductive guidance, Optical tape guidance, Vision guidance, Others]}, Machine Condition Monitoring {Monitoring Technique [Vibration monitoring, Embedded systems, Vibration analyzers and meters, Thermography, Oil analysis, Corrosion monitoring, Ultrasound emission, Motor current analysis], Offering [Hardware – Vibration sensors, Accelerometers, Tachometers, Infrared sensors, Spectrometers, Ultrasound detectors, Spectrum analyzers, Corrosion probes], Software [Data integration, Diagnostic reporting, Order tracking analysis, Parameter calculation], Deployment Type [On-premises deployment, Cloud deployment], Monitoring Process [Online condition monitoring, Portable condition monitoring]})IndustryManufacturing, Automotive, Energy, Medical, Semiconductor & Electronics, Food & Beverage, Oil & Gas, Aerospace, Metals & Mining, Chemicals, and OthersRequest Free Customization of this report:
https://www.skyquestt.com/speak-with-analyst/industry-4-0-market
Internet of Things (IoT) Technology to Remain Indispensable for Industry 4.0
Internet of Things (IoT) remains the most crucial technology in global Industry 4.0 market growth owing to its role in interconnectivity and automation across different verticals. Advancements in connectivity technologies and rising use of automation in different industry verticals are also estimated to help this sub-segment gain an impressive market share. Surging demand for predictive maintenance will also boost the adoption of IoT technology in the long run.
Advanced robotic technologies are also slated to gain traction in the Industry 4.0 market. Growing acceptance of robots and high investments in advancements of robotic technologies are also slated to create new opportunities for providers of advanced robotics in the Industry 4.0 market. The low margin of error and the immense scope of automation are key benefits of robotics that help this sub-segment flourish.
Artificial intelligence (AI) will be another popular technology in the Industry 4.0 world going forward. Increasing demand for continuous monitoring, real-time analytics, and predictive maintenance are slated to help the demand for artificial intelligence in the future. The rising use of IoT devices will also boost the demand for cloud computing technology in the long run.
View report summary and Table of Contents (TOC):
https://www.skyquestt.com/report/industry-4-0-market
Manufacturing Vertical to Spearhead Industry 4.0 Market Development
The manufacturing vertical is estimated to be at the forefront when it comes to Industry 4.0 adoption. The surge in use of robotics, advanced technologies, and smart manufacturing practices sets the tone for Industry 4.0 in this industry vertical. High emphasis on improving manufacturing efficiency, reducing downtime, and maximizing profits are all contributing to the high market share of this sub-segment.
The automotive industry is another vertical where Industry 4.0 market players could invest to get good returns. The high adoption of advanced robotics and other smart manufacturing technologies to maximize production allows this sub-segment to become a crucial one for Industry 4.0 providers. The aerospace and defense industry vertical also shows a lot of promise for Industry 4.0 companies going forward. Growing demand for advanced manufacturing techniques and technologies to create complex aerospace components is helping Industry 4.0 market growth via this segment.
The oil & gas industry is also estimated to embrace Industry 4.0 trend with open hands as they try to improve their operations and promote better resource utilization. High demand for predictive maintenance to reduce downtime and the growing adoption of digital oilfield solutions are estimated to bolster Industry 4.0 market development in the long run.
To sum it up, the application scope for Industry 4.0 is endless as automation and digitization pick up pace around the world. High investments in development of IoT and AI technologies will create better opportunities for Industry 4.0 companies in the future. The manufacturing industry will remain the top revenue generating sub-segment and more opportunities for aerospace, automotive, and oil & gas verticals will be seen over the coming years.
Related Report:
Digital Twin Market
Cyber Security Market
Artificial Intelligence (AI) Market
Internet Of Things (IoT) Market
Machine Learning Market
About Us:
SkyQuest is an IP focused Research and Investment Bank and Accelerator of Technology and assets. We provide access to technologies, markets and finance across sectors viz. Life Sciences, CleanTech, AgriTech, NanoTech and Information & Communication Technology.
We work closely with innovators, inventors, innovation seekers, entrepreneurs, companies and investors alike in leveraging external sources of R&D. Moreover, we help them in optimizing the economic potential of their intellectual assets. Our experiences with innovation management and commercialization has expanded our reach across North America, Europe, ASEAN and Asia Pacific.
Contact: Mr. Jagraj SinghSkyQuest Technology1 Apache Way,Westford,Massachusetts 01886USA (+1) 351-333-4748Email: [email protected] Our Website: https://www.skyquestt.com/
Logo : https://mma.prnewswire.com/media/2446095/SkyQuest_Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/industry-4-0-market-to-surpass-usd-513-89-billion-by-2031-with-automation-surge–skyquest-technology-302206499.html
Artificial Intelligence
Generative AI Cybersecurity Market worth $40.1 billion by 2030 – Exclusive Report by MarketsandMarkets™
CHICAGO, July 26, 2024 /PRNewswire/ — The Generative AI cybersecurity Market is anticipated to experience substantial expansion, ascending from a value of USD 7.1 billion in 2024 to a substantial worth of USD 40.1 billion by the year 2030, according to a new report by MarketsandMarkets™. This growth trajectory reflects a robust compound annual growth rate (CAGR) of 33.4% over the forecast period.
Browse in-depth TOC on “Generative AI cybersecurity Market”
350 – Tables 60 – Figures450 – Pages
Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=164202814
Scope of the Report
Report Metrics
Details
Market size available for years
2019–2030
Base year considered
2023
Forecast period
2024–2030
Forecast units
USD (Million)
Segments Covered
Offering, Generative AI-based Cybersecurity, Cybersecurity for Generative AI, Security Type, End-user, and Region
Geographies covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies covered
Microsoft (US), IBM (US), Google (US), SentinelOne (US), AWS (US), NVIDIA (US), Cisco (US), CrowdStrike (US), Fortinet (US), Zscaler (US), Trend Micro (Japan), Palo Alto Networks (US), BlackBerry (Canada), Darktrace (UK), F5 (US), Okta (US), Sangfor (China), SecurityScorecard (US), Sophos (UK), Broadcom (US), Trellix (US), Veracode (US), LexisNexis (US), Abnormal Security (US), Adversa AI (Israel), Aquasec (US), BigID (US), Checkmarx (US), Cohesity (US), Credo AI (US), Cybereason (US), DeepKeep (Israel), Elastic NV (US), Flashpoint (US), Lakera (US), MOSTLY AI (Austria), Recorded Future (US), Secureframe (US), Skyflow (US), SlashNext (US), Snyk (US), Tenable (US), TrojAI (Canada), VirusTotal (Spain), XenonStack (UAE), and Zerofox (US).
This dramatic surge is being fueled by a number of causes. The primary growth driver is the enhancement of existing cybersecurity tools through generative AI algorithms by improving anomaly detection, automating threat hunting and penetration testing, and providing complex simulations for security testing purposes. These techniques enable various cyber-attack scenarios that can be simulated using the Generative Adversarial Networks (GANs), thus enabling the development of better preparedness and response strategies. On the other hand, it requires special cyber security tools to protect generative AI workloads against unique vulnerabilities such as adversarial attacks, model inversions and LLM poisoning. These tools include differential privacy and secure multi-party computation that are integrated into AI systems for training and deployment data protection purposes.
Request Sample Pages@ https://www.marketsandmarkets.com/requestsampleNew.asp?id=164202814
Generative AI apps security segment will account for largest market share during the forecast period.
The cybersecurity landscape is rapidly changing for generative AI apps, which are already making their way into chatbots, content creation tools like word processors, and personalized recommendation systems. According to McAfee, 55% of these programs have had security breaches. This highlights the dire need for stronger protective measures from unauthorized access. Several generative AI applications that use adversarial techniques to force the desired reaction out of intelligent machines.
Therefore, there is a pressing demand in the number of developers who ensure that such machines are made more robust through techniques like adversarially trained models and resistant architectures. Finally, the usage of secure enclaves plus hardware-based security measures is growing off late, mainly aimed at safeguarding vulnerable AI computations from being tampered with. For instance, OpenAI has very strict security rules meant to protect GPT models thereby ensuring data integrity and user privacy.
By end-user, government & defense sector is poised to account for larger market share in 2024.
Government as well as defense industries are increasingly resorting to generative AI for cyber security purposes due to the urgency of protecting sensitive information and national security. According to a recent CSIS report, AI is being integrated into the cybersecurity framework of 43% of government agencies which resultantly improves their ability to identify and counter threats. As an example, the United States Department of Defense has started using artificial intelligence (AI) based security solutions backed by generative AI that can create fictitious cyber-attacks, thereby providing them with enhanced preparedness against advanced types of threats.
This technology also helps these sectors handle and analyze large volumes of data more effectively, giving valuable insights that will enable them prevent or mitigate cyber threats. This trend demonstrates an increasing reliance on generative AI in fortifying cyber security measures so as to ensure that critical infrastructure and sensitive data remain secure in today’s intricate digital landscape.
By region, North America to hold the largest share by market value in 2024.
In 2024, North America will be the leading region based on market share due to its excellent technology infrastructure, substantial investments in AI-enabled cybersecurity and the presence of key players. Major cyber security research universities and tech companies such as Google, AWS, CrowdStrike, SentinelOne and IBM are present in this area, pushing them on the forefront of potent risk management technologies and generative AI tools for threat detection. For example, IBM’s security platform powered by AI has improved detection rates for threats up by 40%, thus proving the relevance of AI technology to enhancing cybersecurity.
Moreover, legislative instruments such as Cybersecurity Information Sharing Act (CISA) are being put in place to promote advanced cybersecurity technologies. As internet attacks continue getting more complicated, North American enterprises prefer generative artificial intelligence (AI), so as to enhance their safety measures pertaining to personal data and digital infrastructure.
Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=164202814
Top Key Companies in Generative AI cybersecurity Market:
The major players in the generative AI cybersecurity market include Palo Alto Networks (US), AWS (US), CrowdStrike (US), SentinelOne (US), and Google (US), along with SMEs and startups such as MOSTLY AI (Austria), XenonStack (UAE), BigID (US), Abnormal Security (US), and Adversa AI (Israel).
Browse Adjacent Market: Artificial Intelligence (AI) Market Research Reports & Consulting
Browse Other Reports:
AI Model Risk Management Market – Global Forecast to 2029
AI in Chemicals Market – Global Forecast to 2029
Artificial Intelligence in Cybersecurity Market – Global Forecast to 2028
Explainable AI Market – Global Forecast to 2028
Artificial Intelligence (AI) Toolkit Market – Global Forecast to 2028
Get access to the latest updates on Generative AI cybersecurity Companies and Generative AI cybersecurity Industry
About MarketsandMarkets™
MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
Contact:Mr. Rohan SalgarkarMarketsandMarkets™ INC.630 Dundee RoadSuite 430Northbrook, IL 60062USA: +1-888-600-6441Email: [email protected] Our Website: https://www.marketsandmarkets.com/
Logo: https://mma.prnewswire.com/media/1951202/4609423/MarketsandMarkets.jpg
View original content:https://www.prnewswire.co.uk/news-releases/generative-ai-cybersecurity-market-worth-40-1-billion-by-2030—exclusive-report-by-marketsandmarkets-302207361.html
-
Artificial Intelligence3 days agoaelf Welcomes First COO to Foster AI and Blockchain Synergies
-
Artificial Intelligence3 days agoSINGAPORE INKS MOU WITH QUANTINUUM, ENABLING ACCESS TO THEIR ADVANCED QUANTUM COMPUTER
-
Artificial Intelligence4 days agoDeep North Rebrands as StrataVision
-
Artificial Intelligence4 days agoCandyspace strengthens ecommerce capabilities with the acquisition of Profound
-
Artificial Intelligence4 days agoEmmes Group partners with Miimansa AI to accelerate adoption of Generative AI in clinical research
-
Artificial Intelligence5 days ago
Wego Announces Partnership with Visit Valencia to Promote the Spanish City as a Premier Travel Destination
-
Artificial Intelligence4 days ago
GreenRoad Ushers in New Era in Fleet Safety with Digital Edge™
-
Artificial Intelligence3 days agoAppdome Tackles Geo-Fraud with More Defenses for Mobile Apps
