Artificial Intelligence
Canon Invites Enterprises to “AI-GEN at Work”
The globe has entered an age abounding in innovative ideas, in which people are more open to state-of-the-art technologies regardless of generation. Our society encompassing Generation X to Z shares the adventurous spirit which drives them to explore contemporary methods for streamlining daily practices. AI, being a powerful tool for workplace transformation, has prevailed across industries. Solutions and devices leverage existing resources and automate workflow with intelligence beyond senseless operation, leading to unprecedented improvements in this day and age.
Canon Hong Kong hosted “AI-GEN at Work” at Hyatt Regency Hong Kong, Tsim Sha Tsui to introduce enterprises with top-notch solutions incorporating AI and other advanced technologies, inspiring cutting-edge workplaces in this era.
“Machine intelligence is in the limelight worldwide. Generative AI, in particular, has brought us revolutionary changes in the workplace with its astonishing capability”, said Mr. Ozawa Kazuhiro, President and CEO of Canon Hongkong. “Enterprises’ masterful use of the breakthrough technology at work could push productivity to another level with process automation, which spares time for workers to cope with more challenging tasks. This is especially needed at a time of shortage of workforce and pressure on operating costs.”
Canon Hongkong has provided countless solutions to business partners from various industries across generations. Mr. Philip Chan, Senior Director and General Manager of Business Imaging Solution & Production Printing Group, Canon Hong Kong added, “The younger generations have grown up in a digital age and are familiar with technology. They are keen to find innovative ways to work smarter and accomplish more in less time. AI is streamlining data analysis and decision making. The AI-Gen professionals tend to value collaboration and teamwork that technology provides to build high performance team with high employee satisfaction.
AI & Robotics Automate Daily Practices
Real-time processing plays a vital role in the fast-paced business landscape, especially in handling complex and time-consuming documents. Canon’s all-purpose document management solution – Antelope Enterprise brings along an intelligent AI assistant, Antelope Genie, to offer ultra-efficient analysis in both data and text files. The latest plug-in does not simply summarize paragraphs immediately, it can also analyze data in multiple documents in one go by receiving a job role and appropriate instructions. For instance, sales reports accumulated for years can be instantly analyzed from the point of view of a business development manager, a data scientist or a sales manager. The smart AI tool can also act as other roles in a company and suggest relevant keywords to be hashtags of the document, allowing more diverse ways of categorization. The simultaneous responses with different perspectives taken into consideration bring document management in Antelope Enterprise to the next level.
To enhance contract lifecycle management for enterprises, Canon’s AI Contract is a critical tool. It enables high-level contract analysis and comparison within minutes, empowered with advanced natural language processing (NLP). Intelligent AI acquaints itself with abundant legal concepts to conduct speedy comparisons between contracts, and remarks on the points to be noted, facilitating the approval procedure. The entire process is carried out one-stop with our AI Contract, which eventually boosts productivity by streamlining one of the most often business practices.
A key edge of robots is significantly time-saving by eliminating manual work. Canon’s most recent solution — Kofax RPA enhances efficiency remarkably by automating mundane processes with numerous smart robots, all of which are carefully managed with the industry-recognized Version Control System (VCS). Monthly payment and salary calculation are greatly facilitated with coordinated robots dealing with data analysis and settlement. HR’s compulsory task of managing employee attendance records, as a case in point, could be very much simplified with Kofax RPA processes from summarizing card reader data to uploading the files to a payroll system. Tasks are eventually speeded up with highly accurate outcomes with the least manual operation.
Kofax RPA, moreover, accelerates business processes further with cognitive document automation (CDA). Unstructured information scattered in files and emails is first interpreted by the trainable AI-based intelligence, which understands the information given and takes consecutive steps without further instructions. The advanced machine learning ability pushes process automation in enterprises to the next level by automatically summarizing and proceeding hundreds and thousands of emails every day.
Trouble-free Virtual Collaboration
Hybrid working is still prevalent in the post-pandemic period. Canon offers our comprehensive information management system, Therefore™ Online, facilitating co-working in a virtual environment. Digital documents are tidily categorized with unified indexing rules in the system. Merging with tailor-made workflows, office workers could retrieve the designated file at first glance and pass the task to another colleague located elsewhere with a click.
As documents are passing back and forth in the system, Therefore™ Online offers a highly secure environment accepted internationally. Complying with the General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPPA), Victorian Electronic Records Strategy (VERS), and more industry-recognized standards worldwide, Therefore™ Online safeguards information during frequent document transmission. The risks of data leakage are largely eliminated in such a platform with renowned security.
Document editing is certainly a notable part of daily practices which should be done without any difficulties in an efficient workplace. Therefore™ Online has a standard plug-in with Microsoft Office, allowing users to be auto-directed to common editing tools such as Word and Excel. Authoritative e-signature services are also accessible in our system, in which enterprises can have contracts signed instantly with legally binding e-signs offered by well-known providers. Compulsory tasks like staff employment and deals of accounts payable are cleared in a moment, with practical software incorporated into our sophisticated cloud system.
Smart Workplace with Top-notched Camera
Business in the present time has been transforming with workplace technology since the pandemic. Canon’s Smart Workplace solution leverages contactless technology spotlighting in the workplace to enhance security management further. Being one of the core components of the solution, our Door Access System uses face recognition technology to identify users before granting access. Staff and authorized visitors can enter the premises simply by standing in front of the terminal for a second without taking their masks off. Not only does it reduce the security force required, but also gives the best impression to workers and guests by providing them with an intelligent and hygienic check-in experience.
Utilizing technology for co-working is also of practical necessity when diverse work modes have been incorporated into the modern workplace. Some industries have adopted resource-sharing policies for cost reduction since remote work has become ever prevalent. For instance, bank and insurance agents may share seats in the office. Canon’s Smart Workplace caters for resource management by offering a user-friendly facilities booking solution, allowing users to book rooms and desks anywhere with just a smartphone and supports check-in and check-out with QR code, PIN and HID. The facilities booking system, therefore, is enterprises’ best assistant to manage shared resources.
A video solution is another essential for enterprises since the global network has been expanding given the trend of distance work. Canon’s live broadcasting solution and service adopting our 4K CR-N cameras with 60 fps is certainly the top choice to provide both a high-quality visual and an interactive experience. CR-N series is our signature remote camera series having excellent low-light performance with a 1.0 CMOS sensor. Apart from giving high-resolution output, its wide-angle feature and high magnification ratio with optical zoom of up to 15x and advanced zoom of up to 30x suit shooting needs largely under different circumstances. The camera, meanwhile, also offers auto-tracking to focus on a specific actor better when filming. Our live broadcasting solution and service simultaneously offers various tools to engage viewers including live chat, interactive Q&A sessions, and instant feedback. The dual offer combining advanced video quality and extensive online communication is widely appliable across industries, ranging from cross-border business conferences to governmental public announcements. Canon’s broadcasting solution is hence a universal tool that upgrades communication in a virtual environment, suitable for all kinds of workplaces.
Canon’s Smart Surveillance combines robust surveillance technology with a video analytics solution to strengthen security, and extend its usage further to conduct effective marketing analysis. To prevent theft and all kinds of illegal invasion, a light or audio alert will be triggered promptly alongside a real-time notification whenever an unauthorized person is detected in the office, bringing immediate attention to the security members. Apart from sending our security alert timely, our smart surveillance is also applicable to customer behavior analysis as equipped with face recognition and heat mapping technology. By identifying the movement of customers in the shopping area, companies can understand the customers’ demographic and can be utilized to improve sales strategy. Our Smart Surveillance explores benefits beyond safety when constantly monitoring a workplace, which enhances both workplace security and strategic planning.
Fully Draw on Device Capabilities
A multi-function device (MFD) could be fully utilized with an all-rounded solution creating a secure and cost-saving printing environment. Our signature solution for MFD – uniFLOW Online features multiple authentication methods, ranging from ID cards to highly accurate face recognition technology. All functions remain inaccessible until the user is successfully identified. Print and scan data is also encrypted when being sent out with our intelligent client software, SmartClient. Information is safeguarded throughout the printing cycle with numerous authentication options and encrypted data transmission. While cost management is in no way less crucial compared to security, uniFLOW Online also offers comprehensive reports on the uniFLOW Online Portal. User activities, device usage and departmental data are all observable on the portal, on which accurate numbers and colorful charts are available. The all-in-one solution consisting of various features agreeing on data safety and budgeting is the best tool to build a workplace with effective print management.
Connection to cloud destinations is a common demand among enterprises as well. In view of the significant requirement, Canon launched the Cloud Connector which seamlessly links print and scan jobs with the most popular cloud platforms. Users can directly print from or scan to online services such as Microsoft OneDrive, Teams, SharePoint Online and other prevailing cloud services every time. Its prior setup remain simple which enable enterprises to synchronize data on the cloud without any IT manpower. Meanwhile, the connector is hosted in Microsoft Azure data centers using 256-bit Advanced Encryption Standard (AES) encryption across the globe, safeguarding business information worldwide. Our Cloud Connector joins print and scan jobs with plenty of cloud destinations in a convenient yet secure manner.
When it comes to cost management, many industries have found contactless mobile payment favorable because of its incomparable convenience. To fulfill the market demand, Canon presents PayLink – an on-demand payment solution supporting cashless transactions in diverse ways. All mainstream e-payment platforms, namely Octopus card, AlipayHK and WeChat Pay are applicable to our advanced MFD solution. The payment could be done in the blink of an eye, by tapping the Octopus card on a Mini-MOP (Multipurpose Octopus Processor) or scanning the QR code generated on Canon’s MFD. Each transaction is precisely noted in our real-time report for better cost management. PayLink is no doubt the best option for budget control, which at the same time offers extensive flexibility.
Boundless Creativity with Colors
Stunning visual in reality is of equal importance to digital graphics or videos for effective advertising. Canon’s PANTONE™ calibrated imagePROGRAF GP series visualizes pictures on each paper accurately by the PANTONE PASTEL & NEON GUIDE Coated, which helps to beautifully display graphic designs on physical media. The large-format printer covers an ultra-wide gamut with 11 colors to produce attractive promotional materials, in which the world’s first aqueous pigment fluorescent ink is particularly impactful in creating eye-catching hardcopies. Furthermore, it forms a perfect combination with our PosterArtist application providing numerous templates for flyers, menus and certificates to present aesthetic prints with vibrant colors effortlessly. The amalgam of the certified printer and the comprehensive application hence produces attention-grabbing visuals without equal.
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.
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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.
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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.
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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.
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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
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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.
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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:
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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.
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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/
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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
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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.
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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.
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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).
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