Artificial Intelligence
Automotive Sunroof Market Size to Hit Around USD 21.74 Bn by 2032
Tokyo, Jan. 18, 2023 (GLOBE NEWSWIRE) — The automotive sunroof market is growing due to the development of advanced technologies by original equipment manufacturers (OEMs). The primary factors driving the global automotive sunroof industry growth are advancements in glass technology and increased demand for safety, comfort, and convenience.
Key Insights:
- Asia-Pacific market has accounted highest revenue share in 2022.
- Europe market has hit second position for the automotive sunroof market in term of revenue.
- The panoramic sunroof type segment has held largest revenue share in 2022.
- The automatic operation segment is expected to grow strongly from 2023 to 2032.
- The glass sunroof material type segment has generated revenue share of 80% in 2022.
- The OEM distribution channels segment has dominated the market in 2022.
- The passenger car segment is expected to grow at a highest CAGR from 2023 to 2032.
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Impact of COVID-19 on the global automotive sunroof market
The automotive sunroofs industry suffered because of the COVID-19 outbreak in 2020. The pandemic has significantly impacted countries such as India, China, and Australia. However, the situation improved after covid due to several factors, including an increased focus by automobile manufacturers on developing new vehicles with advanced features, rising adoption of advanced technologies, and an increase in the number of automobile manufacturers in countries throughout the region.
Market Dynamics
Drivers
Alternative routes for emergencies
Unexpected mishaps are unavoidable in the future. In these situations, having an escape route is essential. This is where vehicles with panoramic sunroofs may appear helpful. When the vehicle becomes flooded or the windows refuse to open, most designs are equipped to entirely remove the glass, providing an alternate route to exit the vehicle safely.
Rising demand for commercial vehicles in the logistics sector and pent-up demand are a few factors that will propel the market in the coming years. Furthermore, the electrification of vehicles, particularly passenger cars, is expected to influence further market growth significantly. According to the Society of Indian Automobile Manufacturers, the passenger car segment had the highest sales volume of 13,466,412 in the fiscal year 2021-22.
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Scope of the Report
| Report Attributes | Details |
| Revenue Forecast by 2032 | USD 21.74 Billion |
| CAGR | 12.11% from 2023 to 2032 |
| Base Year | 2022 |
| Forecast Year | 2023 to 2032 |
| Key Players | Webasto SE, Inalfa Roof Systems B.V., Inteva Products LLC, Aisin Seiki Co., Ltd., Magna International, Inc., CIE Automotive, Wuxi Ming Fang AutoMobile Parts, Wuhu Mosentek Automobile Technology, Yachiyo Industry Co. Ltd, Zhejiang Wanchao Electric Co. Ltd, Johnan Manufacturing Inc. and Others |
Restraint
Influence on the resale value
Since many auto dealers and individual buyers do not want a vehicle with safety issues, aftermarket sunroofs significantly impact the automobile’s resale value. Although some people will be drawn to it, most will avoid it, primarily because it is an aftermarket item that could leak or break at any time.
Sunroofs have grown in size and surface area, which causes them to absorb too much heat, leading to sunroof failure or sunroof-shattering incidents. According to the National Highway Traffic Safety Administration, exploding sunroofs have caused more injuries, which has been a significant restraint for the automotive sunroof market. Between 2002 and 2012, approximately 230 people were killed, and 500 were injured yearly because of ejecting from closed sunroofs.
One limitation of the sunroof market is the possibility of car theft due to sunroofs. Keep windows and sunroofs closed and doors locked to reduce the likelihood of car theft. Unlocked cars account for nearly one-quarter of all vehicle thefts.
Opportunities
Growth in sports as well as luxury vehicle sales
A critical automotive panoramic sunroof market trend expected to impact the industry during the projected period positively is the rising acceptance of sunroofs in sports vehicles. Panoramic sunroofs are available in fixed and openable configurations; allowing sunlight to pass through them increases the vehicle’s brightness. Consumers’ desire for a more comfortable driving experience is expected to propel the demand for automotive panoramic sunroofs. These sunroofs aid in keeping the vehicle aired, maintaining optimal airflow. The panoramic sunroof adds to passenger comfort. Furthermore, rising income and changing consumer lifestyles are expected to fuel demand for automotive sunroofs during the anticipated period.
Challenges
Higher cost and less headroom
The laminar airflow develops into a turbulent top of added drag when the sunroof is open while traveling at high speeds, affecting the vehicle’s aerodynamics. Since it is glass, it has the potential to shatter, and if this occurs, replacement/repairs will become extremely expensive.
Sunroofs influence a vehicle’s mileage which is fuel consumption. The panoramic sunroof weighs 90 kg, while standard sunroof systems weigh between 25 and 35 kg. Sunroofs consume headroom because the sliding roof must go somewhere while it is open. The sunroof in cars, such as an inbuilt sunroof, can reduce headroom space, making passengers uncomfortable. Passengers have more headroom in cars without sunroofs.
Segmentation Insights
Sunroof type landscape
In terms of sunroof type, the panoramic segment held the highest market share in 2022. Various car manufacturers provide panoramic sunroofs to enhance ventilation. The category market share is anticipated to grow due to improved airflow and product upgrades with sun-protective coatings.
The inbuilt segment is expected to grow due to additional functions such as sunshades, vents, and auto close, which improve vehicle comfort. Inbuilt sunroofs, also known as flush-mount sunroofs, are a type of automotive sunroof built into the vehicle’s roof. Since they are made to integrate with the roof seamlessly, built-in sunroofs give the vehicle a sleek and stylish appearance.
Operational landscape
Based on operation, the automatic sector is expected to grow remarkably in the market in 2022. This is due to the rising demand for simple-to-use automobile technologies. The device operates with minimal driver intervention and is used remotely or in conjunction with any vehicle power system.
The manual sunroof must be operated manually using a lever or a crank to assist the glass sliding motion. As a result, the appeal for manual sunroofs has decreased over time.
Distribution channel landscape
Based on the distribution channel, the OEM sector ruled the market. The availability of safety enhanced durability, and improved service with less maintenance, are essential factors driving demand for the OEM segment. Another vital factor propelling the OEM automotive sunroof industry growth is increased auto production.
The aftermarket segment is also predicted to grow significantly in the near future, owing to the high demand for aftermarkets caused by electrical faults or damage to sunroof parts in accidents. Growing car personalization trends and a teenage population demanding aftermarket sunroof installations are two key factors propelling the market for sunroofs.
Material type landscape
In 2022, the glass sunroof segment held the largest market share in term of revenue. The segment’s growth is attributed to technological advancements, which have enabled the manufacture of various kinds of glassware, such as laminated glass, tempered glass, and glass that can protect against ultraviolet rays.
As a result of falling convertible car sales, the market for the fabric segment is expected to decline over the forecast period. Car sales are declining due to high maintenance costs and safety concerns. Membrane structures of fabric segments have a unique fire performance because they do not contribute fuel to the fire. Fabric Membrane covers do not require painting because dust, dirt, and other pollutants wash away with a bit of water.
Vehicle type landscape
Based on vehicle type, the passenger car segment is anticipated to grow significantly due to the introduction of cost-effective options and features such as natural ventilation and increased comfort. The rise in demand for passenger vehicles due to the increase in the middle-income group population and the rise in living standards in emerging countries are the major factors driving the segment’s growth.
The light commercial vehicle market is expected to expand during the predicted period due to the enhanced adoption of sports utility vehicles, particularly in developing countries. The increasing penetration of downsized engines in LCVs drives vehicle prices, propelling the light commercial vehicle (LCV) segment forward. Euler Motors, a supplier of commercial electric vehicles, announced in August 2021 that Flipkart, BigBasket, Udaan, and other e-commerce, hyperlocal, and B2B delivery competitors had an order for 2,500 EVs for intra-city deliveries.
Regional landscape in the global automotive sunroof market
The Asia-Pacific market accounts for a sizable portion of the global automotive sunroof market. This is primarily due to increased automobile production. Carmakers sold 219,421 passenger vehicles in the domestic market in December 2021, a 13% decrease from the previous year, according to the Society of Indian Automobile Manufacturers (SIAM).
Europe is the second-largest market and is expected to increase in the coming years. This is due primarily to the growing popularity of luxury vehicles and OEMs’ proclivity to include features that improve the driving experience.
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Recent developments
- BMW X3 xDrive30i Sport X launched in India in February 2021 for INR 56.5 lakh. The new vehicle is manufactured locally at the BMW Group Plant in Chennai, and the company has announced the availability of the ‘Sport X’ petrol variant of the BMW X3.
- AGC Inc. (AGC) announced in May 2021 that the Lexus RZ, the brand’s first dedicated battery EV model, had implemented its light-control panoramic roof of Low-E coating.
- Webasto SE (Webasto) announced that it had provided PBO 2.0 large bottom-mounted panoramic sunroofs under the WEY brand for Great Wall Motor’s Mocha DHT-PHEV in March 2021.
- In August 2022, about 2300 Golf GTI and Golf R units were recalled by Volkswagen due to an issue with the sunroof button.
Segments Covered in the report
By Sunroof Type
- Inbuilt Sunroof
- Spoiler Sunroof
- Panoramic Sunroof
- Pop-Up Sunroof
- Others
By Operation
- Passenger Cars
- Light Commercial Vehicles
- Automatic
By Material Type
- Glass
- Fabric
By Distribution Channels
- OEM
- Aftermarket
By Vehicle Type
- Passenger Cars
- Lightweight vehicles
- Electric Powered Vehicle
By Geography
- North America
- Europe
- Asia Pacific
- LAMEA
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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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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!
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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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