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Artificial Intelligence

Automotive Artificial Intelligence Market to reach $600 Bn by 2032, Says Global Market Insights Inc.



Selbyville, Delaware,, Jan. 17, 2023 (GLOBE NEWSWIRE) —

The automotive artificial intelligence Market valuation is poised to surpass USD 600 billion by 2032, as reported in a research study by Global Market Insights Inc.

The growing adoption of AI in the automotive sector to mitigate risks and improve auto supply chain resiliency will boost the market growth. Due to supply-chain vulnerabilities, production shutdowns, and semiconductor shortages, businesses are adopting ML and AI-based systems to improve transparency and accurate prediction and to solve problems faster. In addition, the rising use of AI in car manufacturing is propelling the market revenue. Designers and development teams of automobile companies are using AI to offer extraordinary products and services and address the end user’s expectations and convenience through AI and ML-driven customizations. 

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The hardware segment of the automotive AI market is set to witness over 55% CAGR between 2023 to 2032, due to the growing adoption of autonomous vehicles is enabling companies to develop innovative AI hardware such as the CPU, Application-Specific Integrated Circuit (ASIC), LiDAR sensors, Field Programmable Gate Array (FPGAs), GPU chips, and memory units. The leading global chip companies, including NVIDIA, Intel, and AMD, are creating new product lines to support the growing use of AI in the automotive sector.

Based on technology, the automotive artificial intelligence market from the context awareness segment is anticipated to attain nearly 50% gains between 2023 and 2032. With the help of context awareness technology, autonomous cars may use sensors to record the surroundings around them and respond in real-time to changing environment. The technology facilitates function customization while also requiring fewer user interactions. The rapid development of smart cities and the emerging need to create better transportation systems are poised to drive the market growth.

The image/signal recognition segment will hold approximately 60% of the automotive artificial intelligence market share by 2032. The image recognition process helps improve road safety for pedestrians and in-vehicle passengers. The rising deployment of image/signal recognition, such as computer vision systems in semi-autonomous vehicles to enhance the night vision mode to avoid any accidents at night, is set to influence the business growth.

The semi-autonomous application segment is predicted to expand at a CAGR of 90% till 2032. Semi-autonomous cars can operate autonomously utilizing a camera, sensors, and AI, although they still require human intervention in case of unforeseen circumstances. Leading manufacturers, including Tesla, Audi, and Cadillac, have already created semi-autonomous cars, and are taking initiatives to speed up the development of these vehicles from level 1 to level 3, resulting in a market demand for AI solutions for automotive applications.

The LAMEA automotive artificial intelligence market will cross USD 60 billion by 2032. The UAE’s rapidly expanding autonomous automobile market will generate notable growth possibilities for AI technology providers owing to the abundance of smart cities, including Dubai and Abu Dhabi. Additionally, it is predicted that the growing investment in AI startups specializing in automotive applications will augment the market revenue.

Some of the leading companies operating in the automotive artificial intelligence market are BMW AG, IBM Corporation, Honda Motors, Volvo Car Corporation, AUDI AG, Ford Motor Company, Intel Corporation, NVIDIA Corporation, Tencent, Microsoft, Intel Corporation, Tesla Inc, and Uber Technologies, Inc. Several new developments and product range expansions by companies are anticipated to bring about lucrative growth to the market.

To cite an instance, in August 2022, a multinational technology company, NVIDIA, unveiled DRIVE THOR, a revolutionary autonomous driving technology that will incorporate assisted and automated driving, in addition to other digital features like in-car infotainment.

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Partial chapters of report table of contents (TOC):

Chapter 2   Executive Summary

2.1    Automotive artificial intelligence market 360º synopsis, 2018 – 2032

2.2    Business Trends

2.2.1    Total addressable market (TAM)

2.3    Regional trends

2.4    Component trends

2.5    Technology trends

2.6    Process trends

2.7    Application trends

Chapter 3   Automotive AI Market Insights

3.1    Introduction

3.2    Impact of COVID-19 outbreak

3.2.1    North America

3.2.2    Europe

3.2.3    Asia Pacific

3.2.4    South America

3.2.5    MEA

3.3    Russia- Ukraine war impact on AI in Automotive market

3.4    Evolution of AI in Automotive

3.5    Industry ecosystem analysis

3.5.1    Hardware suppliers

3.5.2    Software providers

3.5.3    Third-party party service providers

3.5.4    Automotive manufacturers

3.5.5    Marketing & Distribution

3.5.6    Peripheral stakeholders

3.5.7    Profit margin

3.5.8    Vendor matrix   Hardware suppliers   Software providers   Third-party party service providers   Automotive manufacturers   Marketing & Distribution   Peripheral stakeholders

3.6    Technology & innovation landscape

3.6.1    Machine learning and neural networks

3.6.2    Multiple sensor fusion technologies

3.7    Patent analysis

3.8    Investment portfolio

3.9    Key initiatives and news

3.10    Regulatory landscape

3.10.1    North America

3.10.2    Europe

3.10.3    Asia Pacific

3.10.4    Latin America

3.10.5    MEA

3.11    Industry impact forces

3.11.1    Growth drivers    Growing adoption of AI in automotive value chain    Growing trend of Advance Driver Assist System (ADAS) level 2 technology    Growing AI implementation through ROI    Rising importance of ‘Car as a Platform’ business model    Rising demand for enhanced driver convenience

3.11.2    Industry pitfalls & challenges    Limitation of sensors and equipment    Issues related to hardware and software reliability

3.12    Growth potential analysis

3.13    Porter’s analysis

3.14    PESTEL analysis

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About Global Market Insights Inc.

Global Market Insights Inc., headquartered in Delaware, U.S., is a global market research and consulting service provider, offering syndicated and custom research reports along with growth consulting services. Our business intelligence and industry research reports offer clients with penetrative insights and actionable market data specially designed and presented to aid strategic decision making. These exhaustive reports are designed via a proprietary research methodology and are available for key industries such as chemicals, advanced materials, technology, renewable energy, and biotechnology.

GlobeNewswire is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public.

Artificial Intelligence

Management ‘bought the AI hype’ and expect value but research shows lack of organizational readiness is primary hurdle: IFS




IFS commissioned research shows value creation lags AI promise without the right planning and application
LONDON, April 23, 2024 /PRNewswire/ — New research from IFS, the global cloud enterprise software company, has found that executive and board leadership have ‘bought the AI hype’ but organizations are unable to deliver operationally on expectations. The new global study of 1,700 senior decision makers, Industrial AI: the new frontier for productivity, innovation and competition, found that the promise of AI is being held back by technology, processes and skills. Half of respondents remain optimistic that with the right AI strategy, value can be realized in the next two years, and a quarter believe in the next year.

Expectations failing to meet reality
84% of executives anticipate massive organizational benefits from AI, with the top three areas AI is expected to deliver value in being high-impact: product & service innovation, improved internal & external data availability, and cost reductions & margin gains. The hype has become so high that 82% of senior decision-makers acknowledge that there is significant pressure to adopt AI quickly. However, this same group of respondents state that they are concerned that a failure to plan, implement and communicate properly means AI projects will stall in pilot stage.
Many organizations have not prioritized elements of development, nor have the infrastructure required to reap the rewards or the skills to deliver on that promise. The study found that over a third (34%) of businesses had not moved to the cloud. While this is not essential to AI adoption, it is indicative of an unprepared enterprise unlikely to be able to scale AI across their business. According to IFS, a robust Industrial AI strategy requires a potent combination of cloud, data, processes, and skills. 80% of respondents agree that the lack of a strategic approach means they have insufficient skills in-house to successfully adopt AI. This sentiment is seen elsewhere in the research with 43% of respondents rating the quality of AI resources in their business, in terms of human skills, as passable and not where it needs to be.
Christian Pedersen, Chief Product Officer, IFS, commented: “AI is poised to become the most transformational enterprise tool ever seen, but our research reveals that there are still fundamental misunderstandings about how to harness its power within an industrial setting. It is telling that AI is expected to significantly reduce costs and raise margins, but a lack of robust strategy means most businesses are under-skilled and under-prepared to achieve these ambitions. We built specifically with these challenges in mind. AI value simply will not be found in a single AI capability but instead by delivering AI across all products and business processes. This supports customers’ decision cycles and provides the data and AI services required to realize value faster.”
Pedersen continued: “Achieving this at scale needs a clear-eyed strategic focus, including the high-impact use cases specific to their industry, having a cloud-based infrastructure in place which has industrial AI embedded, and investing early in developing the skills needed. Adopting this approach will turn the tide of disillusionment, and deliver the benefits that boards and the C suite are demanding.”
Outlook optimistic but planning needed
The unfortunate reality of the skills gap means that in terms of AI readiness, many businesses are falling behind. IFS found that nearly half of respondents (48%) were most likely to say that they are gathering proposals and were much less likely to have a clear strategy and perceivable results (27%). A fifth of respondents are in the research phase, with uncontrolled tests taking place and a further 5% are lacking a coordinated approach and do not have anything in motion yet. Despite initial challenges, there is still optimism with respondents most likely to feel AI could make a significant difference to their business in 1-2 years (47%), and a further quarter (24%) believe it could be within a year.
In particular, respondents are most optimistic about the impact of AI in smart production and/or service delivery on effectiveness & business and operational management (22%) in the future. One fifth see the biggest impact being on innovation with new products and services (20%), growth & business model decision-making (20%), empowering people and increasing talent retention (19%), and customer experience and customer service (19%).
Action needed on data readiness
To reap these benefits, enterprises need to leverage the most strategic asset they have – their data. The right data volume and quality is critical for the success of AI applications. Respondents recognize how important real-time data is to successful AI projects, with over 4 in 5 (86%) stating this. Yet despite this recognition, less than a quarter (23%) of respondents have completed their data foundation with it supporting both data-driven business decision making and real time response to changes, suggesting that more work needs to be done to get data AI ready. Moreover, under half (43%) of respondents have majority structured data, with some unstructured.
Pedersen commented: “The lack of maturity at the data foundation layer needs to be addressed as part of an overall AI strategy, otherwise AI simply will never be the magic bullet that can turbocharge the enterprise. Clearly enterprises need support on data management and migration. While AI is seen as a shiny new tool that will revolutionize business, like all technology, it is never that simple. The power of Industrial AI is that it can touch all facets of a business from product innovation and customer experience to productivity and ESG. Its potential is massive if executives and organizations can combine vision, strategy, technology and skills. Now is the time to step back, take stock, and build a true Industrial AI plan and turn the hype into reality.”
Censuswide surveyed 1,709 C-level/President/SVP/Directors who work in Manufacturing, Telecommunications, A&D, Services, Construction & Engineering or Energy & resources in organizations with $50m+ annual revenue (Aged 18+) across the UK, USA, Canada, Germany, France, UAE, Norway, Japan, Australia, Sweden, Denmark and Finland between 06.03.2024 – 27.03.2024.
IFS Press Contacts:MEA& APJ: Adam GillbeCorporate CommunicationsEmail: [email protected] Phone: +44 7775 114 856
USA: Mairi MorganCorporate CommunicationsEmail: [email protected] Phone: +44 7918 607 299
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Artificial Intelligence

University medical centers in Germany choose Sectra’s radiology solution to streamline workflows and shorten lead times for patients




LINKÖPING, Sweden, April 23, 2024 /PRNewswire/ — International medical imaging IT and cybersecurity company Sectra (STO: SECT B) has signed two contracts to provide the radiology module of its enterprise imaging solution with two university medical centers in Germany—Universitätsklinikum Tübingen and Universitätsmedizin Göttingen. By implementing Sectra’s radiology solution, the hospitals aim to improve and streamline radiology workflows with Sectra’s tools for enhanced reporting efficiency, in turn speeding up diagnostics.

“When choosing a vendor, we wanted one that could provide us with a stable and fast system. We also wanted one facilitating collaboration among our radiologists. That way we can streamline our radiology workflows and in turn shorten lead times for patients as well as reduce the ever increasing workload for radiologists,” says Dr. Babak Panahi, Managing Senior Physician and Head of CT and CT Intervention, Universitätsmedizin Göttingen.
Universitätsmedizin Göttingen and Universitätsklinikum Tübingen are two university medical centers located in the cities of Göttingen and Tübingen in Germany managing 300,000 and 600,000 radiology exams a year. The two separate contracts for Sectra’s radiology solution were both signed during the third quarter of Sectra’s 2023/2024 fiscal year.
“Radiologists are under a lot of pressure as they are challenged to handle more images and more complex cases with less resources. Having a solution designed to streamline radiology workflows, facilitating reading and reporting of images, is therefore paramount. I am happy and excited to support Universitätsmedizin Göttingen and Universitätsklinikum Tübingen on their journey towards efficient radiology diagnostics,” says Guido Bötticher, Managing Director, Sectra DACH.
The radiology module is part of Sectra’s enterprise imaging solution that provides a unified strategy for all imaging needs while lowering operational costs. The scalable and modular solution, with a VNA at its core, allows healthcare providers to grow from ology to ology and from enterprise to enterprise. Visit Sectra’s website to read more about Sectra and why it’s top-ranked in ‘Best in KLAS’.
About SectraSectra contributes to a healthier and safer society by assisting health systems throughout the world to enhance the efficiency of care, and authorities and defense forces in Europe to protect society’s most sensitive information. The company, founded in 1978, is headquartered in Linköping, Sweden, with direct sales in 19 countries, and distribution partners worldwide. Sales in the 2022/2023 fiscal year totaled SEK 2,351 million. The Sectra share is quoted on the Nasdaq Stockholm exchange. For more information, visit Sectra’s website.
For further information, please contact: Dr. Torbjörn Kronander, CEO and President Sectra  AB, 46 (0) 705 23 52 27Marie Ekström Trägårdh, Executive Vice President Sectra AB and President Sectra Imaging IT Solutions, 46 (0)708 23 56 10
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Sectra’s radiology solution

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Artificial Intelligence

New CPS Protection Platform: TXOne Networks Unveils SageOne at GISec Global




TAIPEI, April 23, 2024 /PRNewswire/ — TXOne Networks, a frontrunner in the realm of cyber-physical systems (CPS) security, is set to unveil its groundbreaking CPS security platform, SageOne, at the highly anticipated GISec Global from April 23rd to 25th, 2024. Attendees can find TXOne Networks showcasing SageOne at stand B99 in hall 5. This innovative platform consolidates all CPS security products onto a single, central management platform, promising streamlined operations and optimized threat detection capabilities.

SageOne, aptly named “Wise Man Number One,” serves as a comprehensive management console providing a holistic view of the CPS attack surface within operational technology (OT) environments. By enabling centralized control of TXOne’s three core product lines – Stellar for endpoint protection, Element for security inspection, and Edge for network defense – SageOne facilitates integrated OT security throughout the lifecycle of protected assets, ensuring robust threat detection and response mechanisms.
Key features of SageOne include:
CPS Attack Surface Management: Prioritizing operational security by offering clear visibility into the overall security posture of OT environments, SageOne identifies security focal points, illuminating asset information and security controls.Integrated Lifecycle Protection: Through centralized management, SageOne simplifies cybersecurity governance and fosters collaborative defense. It serves as an abstraction layer, facilitating contextualization and consolidation of data across multiple products, offering tailored, task-oriented consoles for executives, security personnel, and plant leaders.CPS Threat Detection & Response: SageOne aggregates security insights from various solutions to scout for potential risks, enabling early caution and response to both known and unknown threats.SageOne’s foundation rests upon advanced components, including Threat Intelligence, Behavior-Based AI Analytics Engines, Compliance Framework, Data Visualizer, and Ecosystem Integrator, ensuring comprehensive protection and seamless integration of different tools and technologies.
With its focus on analyzing unexpected behavior and unknown threats, SageOne enables the identification of suspicious events through cross-telemetry analysis within the OT-native XDR engine. This amalgamation of advanced technologies and user-friendly interface ensures the protection of critical infrastructures.
For rapid threat response, SageOne issues early warnings of suspicious behavior and orchestrates cross-telemetry analysis for CPS Threat Detection & Response. Integrated Lifecycle Protection ensures the security of devices and systems throughout their service life, contributing to great cost efficiency.
TXOne Networks reaffirms its commitment to CPS security and continuous advancement in OT security through SageOne. Visit TXOne Networks at the GISec Global from April 23rd to 25th, 2024, at stand B99 in hall 5.
For further updates and information, follow TXOne Networks on the blog, Twitter, and LinkedIn.
About TXOne Networks:
TXOne Networks provides OT security products ensuring reliability and security in industrial control systems and operational technology environments through the OT Zero Trust methodology. Collaborating with leading industrial manufacturers and critical infrastructure operators, TXOne Networks offers practical and business-friendly approaches to OT defense. Its network and endpoint-based products secure OT networks and mission-critical devices in real-time with high security depth.
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