Artificial Intelligence
Embedded AI Market Worth $18.0 billion by 2028, Growing At a CAGR of 14.0% Report by MarketsandMarkets™
Chicago, July 06, 2023 (GLOBE NEWSWIRE) — The global Embedded AI Market size is estimated to grow from USD 9.4 billion in 2023 to USD 18.0 billion by 2028, with a CAGR of 14.0% during the forecast period, according to a new report by MarketsandMarkets™. Embedded AI encompasses hardware and software components, including AI chips, edge computing platforms, AI frameworks, and development tools specific to embedded AI applications across key industry sectors such as automotive, manufacturing, telecom, and healthcare and life sciences.
Browse in-depth TOC on “Embedded AI Market“
271 – Tables
55 – Figures
320 – Pages
Download Report Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=261207150
Scope of the Report
| Report Metrics | Details |
| Market size value in 2023 | USD 9.4 billion |
| Market size value in 2028 | USD 18.0 billion |
| Growth rate | CAGR of 14.0 % |
| Market size available for years | 2017–2028 |
| Base year considered | 2022 |
| Forecast period | 2023–2030 |
| Forecast units | Value (USD) Million/Billion |
| Segments Covered | Offering, Data Type, Vertical, and Region |
| Geographies Covered | North America, Asia Pacific, Europe, the Middle East & Africa, and Latin America |
| Companies Covered | Some of the significant Embedded AI market vendors are Google (US), IBM (US), Microsoft (US), AWS (US), NVIDIA (US), Intel (US), Qualcomm (US), Arm (UK), AMD (US), MediaTek (Taiwan), Oracle (US), Salesforce (US), NXP (Netherlands) and many more. |
The global embedded AI market is segmented based on offering such as hardware, software, and services. The hardware comprises processors, memory units, accelerators, and other hardware. The services segment is further segregated into training and consulting, system integration and implementation, and support and maintenance. The hardware segment holds the largest market share in 2023 as it plays a critical role by providing the necessary computing power and specialized capabilities to support AI applications directly on embedded systems. It empowers devices to process, analyze, and make intelligent decisions locally without constant connectivity or reliance on cloud-based AI services. This enables real-time and context-aware applications across IoT, automotive, healthcare, manufacturing, and more industries.
The global embedded AI market is segmented based on data type into sensor data, image & video data, numeric data, categorical data, and other data types. Numeric data is growing rapidly during the forecast period owing to the rising need to train AI models used in embedded systems. Numeric data consists of labeled examples that help AI algorithms learn patterns and relationships to make predictions or decisions. Numeric data, such as sensor readings, time series data, or structured data, is often used to train models for tasks like anomaly detection, predictive maintenance, image recognition, or natural language processing.
Inquire Before Buying @ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=261207150
The global embedded AI software market is segmented into edge computing platforms, AI and ML frameworks, AI middleware, and other software. The edge computing platform plays a crucial role in the embedded AI market. It provides a comprehensive set of tools, frameworks, and infrastructure that enable organizations to develop, deploy, and manage AI applications directly on edge devices. Edge AI platforms facilitate the deployment of AI models on embedded systems by providing mechanisms for model packaging, optimization, and integration into the target devices. They enable efficient model conversion, quantization, and compression techniques to ensure that the models can run effectively within the resource-constrained environments of edge devices.
The global embedded AI market is segmented based on verticals into automotive, BFSI, retail & eCommerce, healthcare & life sciences, IT & ITES, energy & utilities, manufacturing, media & entertainment, transportation & logistics, telecom, and other verticals (construction & real estate, agriculture, education, aerospace & defense, and travel & hospitality). The automotive industry is adopting embedded AI for applications like advanced driver assistance systems (ADAS), autonomous driving, vehicle control, and infotainment systems. AI algorithms in vehicles help improve safety, efficiency, and user experience.
The embedded AI market has been segmented into five regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America. Among these regions, North America is projected to hold the largest market size during the forecast period. In North America, the rising demand for embedded AI is driven by the increasing adoption of AI technologies in various industries such as healthcare, automotive, and manufacturing. Additionally, major technology companies in this region, such as Google, Microsoft, and AWS, are fueling the development of more sophisticated embedded AI solutions. Asia Pacific is expected to grow rapidly during the forecast period. Countries such as China, Singapore, Japan, South Korea, ANZ, and India are technology-driven and present significant opportunities in terms of investments and revenue.
Top Trends in Global Embedded AI Market
The increasing demand for AI-powered devices in various end-user industries is driving the growth of the market. here are some of the top trends that were prevalent in the global embedded AI market:
- The processing and analysis of data at or close to the network’s edge, where the data is generated, is referred to as edge computing. At the edge, embedded AI systems are being used more frequently to enable real-time decision-making, lower latency, and improve privacy and security.
- Massive volumes of data are produced by IoT devices; by integrating AI capabilities, these devices can evaluate local data and perform predictive analytics and intelligent automation. IoT devices are now smarter, more effective, and able to offer customized experiences thanks to embedded AI.
- Specifically created hardware accelerators called NPUs are used for AI tasks. For embedded AI systems, they offer fast processing and low energy consumption. NPUs were becoming more and more popular, and they were being included into a variety of embedded devices, including smartphones, smart home appliances, and driverless vehicles.
- Embedded AI-driven NLP technologies are being included into a variety of consumer electronics products, such as smart speakers, smartphones, and home appliances. By enabling people to communicate with gadgets using voice commands and everyday language, this integration improved user interfaces and made them more fluid.
- Vision systems were using embedded AI technology for computer vision, image and video analysis, and object recognition. In sectors including surveillance, automotive, robotics, and healthcare, this development proved particularly important.
- Machine learning operations could now be carried out directly on edge devices by embedded AI systems without utilizing cloud-based processing. In applications including autonomous vehicles, industrial automation, and smart cities, this method lowered latency, protected data privacy, and enabled real-time decision-making.
- With the rise of embedded AI systems, there has been an increased emphasis on protecting the security and privacy of private data processed at the edge. In order to safeguard data and stop unauthorized access, security features like secure enclaves and encryption were integrated into embedded AI advancements.
Get Sample Report @ https://www.marketsandmarkets.com/requestsampleNew.asp?id=261207150
Key Industry Development
The embedded AI market is rapidly growing, and there are a number of key industry developments that are driving this growth. Here are some of the most important ones:
- Chipset producers made research and development investments to develop more potent and effective processors specifically for embedded AI applications. These chipsets included specialised hardware accelerators like GPUs and NPUs to boost embedded AI systems’ performance and energy efficiency.
- As part of their efforts to utilise one another’s expertise and hasten the development and adoption of embedded AI solutions, numerous businesses from the technology ecosystem were forging partnerships and collaborations. For instance, IoT device manufacturers were working with AI platform providers to improve their product offerings, while hardware manufacturers were engaging with AI software firms to develop integrated solutions.
- Developers can now readily include AI capabilities into their embedded systems because to the accessibility and user-friendliness of AI software development kits. These SDKs included pre-trained models, libraries, and tools that made it simpler to construct AI algorithms, facilitating the use of embedded AI in applications by developers.
- Power consumption is a crucial consideration when using embedded AI systems on devices with limited resources, such as edge devices and IoT devices. To increase energy efficiency without sacrificing performance, industry innovations have been centred on optimising AI algorithms and hardware architectures. Long battery life and lower operating expenses were made possible by doing this.
- Adoption of embedded AI was significantly influenced by the automotive sector. Object identification, gesture recognition, voice assistants, and predictive maintenance are just a few of the functions that embedded AI is enabling in advanced driver assistance systems (ADAS), autonomous vehicles, and in-car infotainment systems. Partnerships were being formed between automakers and suppliers of AI technology to provide AI-driven solutions that would improve user experience, convenience, and safety.
- Regulators and legislators started to care about guaranteeing ethical and responsible usage of AI as embedded AI applications spread throughout industries. Discussions around privacy, data protection, openness, and accountability included the development of standards, guidelines, and rules. For providers of embedded AI solutions, compliance with these rules was increasingly critical.
Browse Adjacent Markets: Artificial Intelligence (AI) Market Research Reports & Consulting
Browse Other Reports:
6G Market – Global Forecast to 2030
DataOps Platform Market – Global Forecast to 2028
Smart City Platforms Market – Global Forecast to 2028
Retail Cloud Market – Global Forecast to 2028
Wireless Broadband in Public Safety Market – Global Forecast to 2026
Artificial Intelligence
Military Cybersecurity Market to Reach $68.5 Billion, Globally, by 2033 at 15.4% CAGR: Allied Market Research
PORTLAND, Ore., May 20, 2024 /PRNewswire/ — Allied Market Research published a report, titled, “Military Cybersecurity Market by Type (Endpoint Security Solutions, Network Security Solutions, Content Security Solutions), Deployment (On-Premises, Cloud), and Solution (Threat Intelligence and Response Management, Identity and Access Management, Data Loss Prevention Management, Security and Vulnerability Management, Unified Threat Management, Enterprise Risk and Compliance, Managed Security, Others): Global Opportunity Analysis and Industry Forecast, 2024-2033”. According to the report, the military cybersecurity market was valued at $15.7 billion in 2023, and is estimated to reach $68.5 billion by 2033, growing at a CAGR of 15.4% from 2024 to 2033.
The global military cybersecurity market is driven by factors such as growing demand for end-point security solutions and surge in cyber-attacks which are increasing need for military cybersecurity.
Prime Determinants of Growth
The global military cybersecurity market is driven by factors such as an increase in demand for defense IT expenditure. Adoption of IoT in cyber security technology provides lucrative growth opportunities. On the other hand, limited awareness related to cybersecurity is projected to hinder market growth.
Request Sample of the Report on Military Cybersecurity Market Forecast 2033
https://www.alliedmarketresearch.com/request-sample/A323349
(We are providing Military Cybersecurity Industry report as per your research requirement, including the Latest Industry Insight’s Evolution, Potential and Russia-Ukraine War Impact Analysis)
123 – Tables63 – Charts378 – PagesReport coverage & details:
Report Coverage
Details
Forecast Period
2023–2033
Base Year
2023
Market Size in 2023
$15.7 Billion
Market Size in 2033
$68.5 Billion
CAGR
15.4 %
No. of Pages in Report
324
Segments covered
Type, Deployment, Solution and Region.
Drivers
Increase in demand for defense IT expenditure to drive the market growth.
Opportunities
Adoption of IoT in Cyber Security Technology
Restraints
Limited awareness related to cybersecurity is restricting the market growth
Procure Complete Report (323 Pages PDF with Insights, Charts, Tables, and Figures)https://www.alliedmarketresearch.com/checkout-final/military-cybersecurity-market-A323349
The endpoint security solutions segment to maintain its leadership status throughout the forecast period
Based on type, the endpoint security solutions segment held the highest market share in 2023, accounting for more than two-fifths of the global military cybersecurity market revenue and is estimated to maintain its leadership status throughout the forecast period.
Endpoint security solutions are undergoing continuous evolution to combat the ever-changing landscape of cybersecurity threats. One prominent trend is the widespread adoption of Endpoint Detection and Response (EDR) solutions. EDR offers real-time monitoring of endpoint activities, allowing for swift detection and response to advanced threats.
The on-premises segment to maintain its leadership status throughout the forecast period
Based on deployment, the on-premises segment held the highest market share in 2023, accounting for more than half of the global military cybersecurity market and is estimated to maintain its leadership status throughout the forecast period. However, the cloud segment is projected to manifest the highest CAGR of 15.88% from 2023 to 2033. Moreover, cloud computing offers advanced security features and capabilities that strengthen military cybersecurity defense. Leading cloud service providers invest heavily in robust security measures, such as encryption, identity and access management, and threat detection, to protect data and applications hosted in the cloud.
The identity and access management segment to maintain its leadership status throughout the forecast period
Based on solution, the identity and access management segment held the highest market share in 2023, accounting for nearly one-fifth of the global military cybersecurity market and is estimated to maintain its leadership status throughout the forecast period. Moreover,
Identity and access management (IAM) plays a crucial role in military cybersecurity by ensuring that only authorized personnel can access sensitive information and critical systems. IAM encompasses processes, policies, and technologies designed to manage digital identities, control access to resources, and protect against unauthorized access and insider threats.
North America to maintain its dominance by 2033
Based on region, North America held the highest market share in terms of revenue in 2023, accounting for more than half of the global military cybersecurity market revenue and is likely to dominate the market during the forecast period. The advancements in sensor technology, artificial intelligence, and communication systems have contributed to the evolution of military cybersecurity, enabling greater autonomy, flexibility, and effectiveness in engaging both stationary and moving targets with reduced collateral damage.
To Talk With Our Industry Expert @ https://www.alliedmarketresearch.com/connect-to-analyst/A323349
Leading Market Players:
AT&TBAE SystemsBoeingCisco Systems, Inc.DXC Technology CompanyEclecticIQ B.V.IBM CorporationIntel CorporationLockheed Martin CorporationNorthrop Grumman CorporationPrivacera, Inc.SentineIOneSecureworks, Inc.Thales GroupThe report provides a detailed analysis of these key players in the global military cybersecurity market. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, agreements, and others to increase their market share and maintain dominant shares in different regions. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario.
Browse More Trending Reports
Aerospace Adhesives Market Size, Share, Competitive Landscape and Trend Analysis Report by Technology, by Resin Type, by Function, by End-user : Global Opportunity Analysis and Industry Forecast, 2023-2032
Aircraft Gearbox Market Size, Share, Competitive Landscape and Trend Analysis Report by Application, by Component, by End Use, by Sales Channel : Global Opportunity Analysis and Industry Forecast, 2021-2031
Aircraft Maintenance Market Size, Share, Competitive Landscape and Trend Analysis Report by Maintenance Type, by Aircraft Type and by End-Use : Global Opportunity Analysis and Industry Forecast, 2023-2032
Airport Ground Handling Market Size, Share, Competitive Landscape and Trend Analysis Report by Service, by Airport, by Provider : Global Opportunity Analysis and Industry Forecast, 2023-2032
About Us
Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.
Contact:
David Correa1209 Orange Street,Corporation Trust Center,Wilmington, New Castle,Delaware 19801 USA.USA/Canada (Toll Free):+1-800-792-5285UK: +44-845-528-1300Hong Kong: +852-301-84916India (Pune): +91-20-66346060Fax: [email protected] Web: www.alliedmarketresearch.com AMR Resource Center: https://www.alliedmarketresearch.com/resource-center
Logo: https://mma.prnewswire.com/media/636519/Allied_Market_Research_Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/military-cybersecurity-market-to-reach-68-5-billion-globally-by-2033-at-15-4-cagr-allied-market-research-302149843.html
HANGZHOU, China, May 20, 2024 /PRNewswire/ — Dahua Technology, a world-leading video-centric AIoT solution and service provider, is proud to announce that its network cameras have successfully obtained Common Criteria (CC) EAL 3+ certificate. This achievement demonstrates Dahua’s dedication to delivering secure and reliable solutions that comply with the industry’s highest information security standards and best practices.
The Evaluation Assurance Level (EAL) 3+ certificate, issued by the Common Criteria for Information Technology Security Evaluation (CC), represents a widely used industry standard for evaluating the security features of IT products and systems. It has been recognized by 31 member countries of the Common Criteria Recognition Arrangement (CCRA) organization, which consists of the United States, Germany, the United Kingdom, the Netherlands, Japan, etc.
As the most authoritative and influential information security standard worldwide, obtaining the CC EAL 3+ certificate verifies Dahua’s robust measures against potential security threats throughout the entire R&D, production, and delivery processes. This also signifies that Dahua’s information security management capabilities meet internationally recognized industry standards.
The certification process involves comprehensive testing and evaluation of Dahua’s development environment, production environment, supply chain, vulnerability assessment, personnel security, as well as many other aspects. The security evaluation is completed by SGS Brightsight, a globally renowned security assessment laboratory in the Netherlands and approved by the Netherlands Scheme for Certification in the Area of IT Security (NSCIB).
“At Dahua, we prioritize the security needs and trust of our customers above all else. With the addition of CC EAL 3+ certificate, customers can be confident that they are investing in a secure and reliable solution that delivers unparalleled peace of mind, safeguarding their assets and ensuring uninterrupted operations,” stated Max Xiang, IPC Product Director at Dahua Technology.
Dahua always follows best industry practices and maintains the highest standards of security across all aspects of the company’s operations. In addition to product security and privacy protection, Dahua implements strict quality control measures to strengthen supply chain security. Forging ahead, Dahua will remain dedicated to advancing the security industry through innovative and secure solutions, further enhancing its cybersecurity and data protection capabilities, and working with industry partners to build a trustworthy AIoT environment.
For more in-depth insights into Dahua’s cybersecurity practices, please visit www. dahuasecurity.com
Photo – https://mma.prnewswire.com/media/2416612/image_1.jpgLogo – https://mma.prnewswire.com/media/2074657/Dahua_LOGO_Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/dahua-network-camera-series-obtains-cc-eal-3-certificate-302149811.html
TAIPEI, May 20, 2024 /PRNewswire/ — AGI Technology, a pioneering provider of high-performance storage solutions from Taiwan, will make its inaugural appearance at COMPUTEX 2024. This grant event will take place from June 4 to June 7 at the Taipei Nangang Exhibition Center, where AGI will be showcasing its latest innovations at Booth #J0218.
Event DetailsDate: June 4 – 7, 2024Time: 9:30 a.m. – 5:30 p.m.Location: Taipei Nangang Exhibition Center, Hall 1Booth: #J0218
AGI will present cutting-edge technology across three main themes:
Spotlight Innovations
– Supreme Pro TF138 2TB microSD: The world’s first 2TB microSD card, exclusively produced by AGI, sets a new standard in mass production and storage capacity.
– TURBOJET RGB DDR5 Series: This DDR5 series, featuring RGB lighting and a heat sink for overclocking, delivers exceptional performance.
– EDM38 Portable SSD for Mobile: A portable SSD with MagSafe-compatible magnetic attachment that offers lightweight portability.
Ultra-Spec Solutions
– SATA 8TB SSD: This 8TB SATA SSD is pushing the limits of consumer-grade storage, setting a new benchmark for capacity.
– PCIe 16TB SSD: A 16TB PCIe SSD that leads in the HMB domain, providing unmatched performance.
Customization Zone
AGI will showcase tailored storage solutions that meet unique customer needs.
We welcome you to visit AGI at Booth #J0218 to discover these innovations and explore collaboration opportunities.
About AGI
AGI is a leading provider of high-performance storage solutions, offering a range of innovative products that meet the evolving needs of its customers. With a commitment to delivering cutting-edge storage capacities and superior performance, AGI empowers its customers to achieve exceptional digital experiences.
Contact Information
Sales [email protected]+8862-27937256www.agi-gear.com
Photo – https://mma.prnewswire.com/media/2414525/BANNER_COMPUTEX10.jpg
View original content:https://www.prnewswire.co.uk/news-releases/agi-to-debut-at-computex-2024-302147537.html
-
Uncategorized7 days agoCrossover Markets Becomes First Crypto ECN to Integrate with Talos
-
Uncategorized7 days ago
Precisely Showcases Critical Role of Trusted Data in AI at the Gartner® Data & Analytics Summit in London
-
Artificial Intelligence7 days agoAdvanced HPC Server Platforms by MiTAC and TYAN Spotlighted at ISC High Performance 2024
-
Uncategorized5 days ago
Artificial intelligence tool detects sex-related differences in brain structure
-
Artificial Intelligence4 days agoJapan Data Center Market Investment to Reach $14.48 Billion by 2028 – Watch Out Exclusive Insight on Japan & Hong Kong Data Center Market – Arizton
-
Uncategorized4 days ago
Google to roll out AI-generated summaries at top of search engine
-
Artificial Intelligence4 days agoStrava Unveils New Chapter of Accelerated Product Development at Brand’s Flagship Event
-
Uncategorized3 days ago
SoftBank looks at ‘softening’ angry customer calls with AI
