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Global Predictive Vehicle Technology Market Report 2022: A $60+ Billion Industry in 2026 – Focus on Pro-Active Alerts, Safety and Security, Maintenance Analysis, & Predictive Smart Parking

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Dublin, Sept. 23, 2022 (GLOBE NEWSWIRE) — The “Predictive Vehicle Technology Global Market Report 2022” report has been added to ResearchAndMarkets.com’s offering.

The global predictive vehicle technology market is expected to grow from $25.35 billion in 2021 to $30.02 billion in 2022 at a compound annual growth rate (CAGR) of 18.41%. The predictive vehicle technology market is expected to reach $60.40 billion in 2026 at a compound annual growth rate (CAGR) of 19.10%.

The predictive vehicle technology market consists of sales of predictive vehicle technologies by entities (organizations, sole traders, and partnerships) that refer to a set of vehicle technologies that incorporate prophetic analytics with the use of both real-time and historical data to predict vehicle behavior, and faults that might hamper vehicles if not corrected in real-time. Predictive vehicle technology uses artificial intelligence (AI) and machine learning (ML) to understand the trends and operating patterns of the vehicle owner which enhances the safety of the vehicle.

The main types of component in predictive vehicle technology market are hardware, ADAS, OBD and telematics. The hardware is a mechanical devices used in predictive vehicle technology for vehicles that includes interconnected electronic devices used to control a car’s operation, input, and output. The vehicles using predictive vehicle technology are passenger vehicle and commercial vehicle deployed through on-premise and cloud. It is mainly used for proactive alerts, safety and security, maintenance analysis and predictive smart parking.

Asia Pacific was the largest region in the predictive vehicle technology market in 2021. The regions covered in the predictive vehicle technology market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The rising demand for technologically advanced vehicles propels the growth of the predictive vehicle technology market. Technologically advanced vehicles are highly equipped with the latest technology such as advanced driver assistant systems (ADAS), predictive vehicle technology, electric vehicle (EV) technology, 360-degree cameras, and more.

The growing population and the economy, and rapid urbanization globally coupled with a need to reduce carbon footprint, have led to an increased demand for technologically advanced vehicles such as electric vehicles that use the latest EV technology. As the demand for technologically advanced vehicles grows, it will drive the need for the latest technologies including predictive vehicle technology.

For instance, in February 2022, according to the International Energy Agency (IEA), the worldwide electric car market is expanding at a rapid pace with a global sale of 6.6 million EVs in 2021, more than doubling from 2019 which was 2.2 million EVs.

Market momentum has continued, with EV sales more than doubling year on year to 6.6 million in 2021, accounting for over 9% of the worldwide market. There are presently around 16 million electric vehicles on the roads globally. Therefore, the rising demand for technologically advanced vehicles drives the predictive vehicle technology market.

Technological advancement is a key trend gaining popularity in the predictive vehicle technology market. Major companies operating in the predictive vehicle technology market are focused on providing new technological solutions/upgrades in predictive vehicle technology to strengthen their position in the market.

Predictive vehicle technology also uses hardware components such as ADAS (advanced driver assistance) components, telematics, and onboard diagnostics (OBD) port to predict vehicle behavior and assist the driver. These latest technologies help in ensuring the safety of vehicles. For an instance, in April 2021, Toyota Motor Corp, a Japanese automotive manufacturer launched its new Lexus and Mirai vehicle models in Japan, outfitted with the company’s most advanced driver assistance technology, allowing for safe driving and wireless software upgrades.

The latest driving assist technology, or Advanced Drive, from the automaker, is a level 2 autonomous system that assists drivers with driving circumstances such as staying in one’s lane, maintaining a safe distance from other vehicles, and changing lanes on expressways or other motor-vehicle only routes.

In May 2020, ZF Friedrichshafen, a German-based company specializing in driveline and chassis technology, active and passive safety technology, and also a manufacturer of auto parts acquired WABCO Vehicle Control Systems for an amount of over $7 billion.

The acquisition strengthens both firms and is expected to hasten the development of new technologies to enable autonomous commercial vehicle operations, making ZF less reliant on the passenger car industry’s cycle. Wabco is a US-based company that specializes in advanced driver assistance systems for trucks and trailers.

The countries covered in the predictive vehicle technology market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA.

Major players in the predictive vehicle technology market are

  • Bosch
  • Continental AG
  • Valeo
  • Garrett Motion Inc
  • Aisin Corporation
  • Aptiv
  • Hella KGaA Hueck & Co
  • Huawei Technologies Co Ltd
  • Infineon Technologies AG
  • KPIT Technologies Limited
  • NXP Semiconductors NV
  • Qualcomm Technologies Inc
  • Samsung Electronics Co Ltd
  • Sierra Wireless Inc
  • Cisco Systems Inc
  • CloudMade
  • Cohda Wireless Pty Ltd
  • Embitel Technologies

Key Topics Covered:

1. Executive Summary

2. Predictive Vehicle Technology Market Characteristics

3. Predictive Vehicle Technology Market Trends And Strategies

4. Impact Of COVID-19 On Predictive Vehicle Technology

5. Predictive Vehicle Technology Market Size And Growth
5.1. Global Predictive Vehicle Technology Historic Market, 2016-2021, $ Billion
5.1.1. Drivers Of The Market
5.1.2. Restraints On The Market
5.2. Global Predictive Vehicle Technology Forecast Market, 2021-2026F, 2031F, $ Billion
5.2.1. Drivers Of The Market
5.2.2. Restraints On the Market

6. Predictive Vehicle Technology Market Segmentation
6.1. Global Predictive Vehicle Technology Market, Segmentation By Component, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion

  • Hardware
  • ADAS
  • OBD
  • Telematics

6.2. Global Predictive Vehicle Technology Market, Segmentation By Vehicle Type, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion

  • Passenger Vehicle
  • Commercial Vehicle

6.3. Global Predictive Vehicle Technology Market, Segmentation By Deployment, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion

  • On-Premise
  • Cloud

6.4. Global Predictive Vehicle Technology Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion

  • Pro-Active Alerts
  • Safety And Security
  • Maintenance Analysis
  • Predictive Smart Parking

7. Predictive Vehicle Technology Market Regional And Country Analysis
7.1. Global Predictive Vehicle Technology Market, Split By Region, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
7.2. Global Predictive Vehicle Technology Market, Split By Country, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion

For more information about this report visit https://www.researchandmarkets.com/r/3ss5sm


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Artificial Intelligence

First Comprehensive Report on Public Web Data Released by Bright Data

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Reveals necessity in every industry
NEW YORK, April 23, 2024 /PRNewswire/ — Released today, The State of Public Web Data Report 2024, details a comprehensive analysis on how organizations leverage public web data to drive innovation, enhance customer experience, and develop AI models.

Bright Data commissioned an independent third-party to carry out the first survey of this kind which details the emergence of public web data as the most valued data type. Nearly every organization surveyed uses and benefits from public web data through quicker decision-making, boosting revenue, and meeting customer needs.
The need for public web data in AI is clear in all industries, with more than half of respondents using public web data to build AI models for customer service or to meet internal needs such as fraud detection and risk assessment.
Although necessary to build AI machines, 72% of respondents are worried that public web data will no longer be accessible in the next 5 years. The lack of a legal framework to protect this data emerged as a top concern.
Other key insights from the report:
89% of respondents recognize public web data is crucial or very important to the global economy.82% of respondents say public web data is critical to the future of their organization.79% of respondents agree that large organizations and or big tech hide too much of their public web data.88% of respondents believe public web data is critical for the development of AI models.”Our findings reveal a clear consensus among industry leaders: leveraging public web data is key to unlocking growth and fostering innovation,” said Or Lenchner, CEO of Bright Data. “Public web data is not a ‘like to have,’ it’s a ‘must have’ to conduct business and maintain a competitive market. We understand from our own experience with 20,000 customers that once a business realizes the potential of public web data they will look to discover new ways to leverage this tool to lead against the competition.”
About Bright Data: Bright Data is the #1 web data platform. Fortune 500 companies, academic institutions, non-profits, and small businesses rely on Bright Data’s solutions to collect public web data in the most efficient, reliable, and flexible way to make faster, more informed business-critical decisions.
Contacts:[email protected]
Logo – https://mma.prnewswire.com/media/2276620/Bright_Data_logo__1044x234_Logo.jpg 

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Artificial Intelligence

OSIA becomes an official International Telecoms Union (ITU) standard

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ITU Standardization Sector (ITU-T) Recommendation X.1281 – APIs for interoperability of identity management systems
BRUSSELS, April 23, 2024 /PRNewswire/ — The Secure Identity Alliance (SIA) announced today that its OSIA specification, is recognized as international standard by the International Telecommunication Union’s Telecommunication Standardization Sector (ITU-T). This milestone establishes OSIA as official ITU standard (ITU-T Recommendation) for the global infrastructure of information and communication technologies (ICT).

The specification that is now an ITU-T Recommendation is: ITU-T X.1281 – APIs for interoperability of identity management systems.
ITU-T is the standardization arm of ITU, the United Nations specialized agency for ICT. The Secure Identity Alliance specifications were approved as official ITU-T Recommendations by ITU members including 193 countries and the world’s front-running ICT companies on 1st March 2024. The new ITU-T Recommendation is under the responsibility of ITU’s standardization expert group for security, ITU-T Study Group 17.
“We are very proud that the OSIA specification is recognized as an international standard by ITU-T. This milestone demonstrates the maturity of OSIA and its potential to foster interoperability and promote fairness in the identity management systems market,” said Debora Comparin, Chair of the OSIA Initiative.
Prof. Heung Youl Youm, Chairman of ITU-T Study Group 17, said, “The recognition of the OSIA specification as an official ITU-T Recommendation underscores its critical contribution to the advancement of global ICT infrastructure. We are thrilled about the ongoing collaboration between ITU-T SG17 and the SIA, aimed at developing standards for secure identity management.”
“As Editor of the OSIA standard in the ITU-T Study Group 17 Q10, I am pleased to have contributed to this successful recommendation by the ITU,” said Abbie Barbir, Rapporteur for ITU-T’s working group on ‘Identity management and telebiometrics architecture and mechanisms’ (Q10/17). “The collaboration with the SIA continues on OSIA and other structuring initiatives and standards development.”
Engr Abisoye Coker-Odusote, CEO, National Identity Management Commission (NIMC), Nigeria & Chair of the OSIA Advisory Committee, said, “As the Chair of the OSIA Advisory Committee, comprised exclusively of government representatives, we take great pride in our five years of collaboration guiding the working group in the development of the OSIA specification. OSIA establishes equal marketplace conditions, fosters collaboration, and ensures product compatibility post-mergers and acquisitions. The OSIA standardized interfaces drive innovation, enabling new local market models and reducing fraud within multiple ID systems. Additionally, OSIA addresses integrator/vendor lock-in, allowing governments to maintain control over their identity systems and pursue national development agendas seamlessly.”
“The Secure Identity Alliance has always supported standards and its members have contributed to thousands of standards globally, which are now used in the ICT market. Standards are key to unlock the full power of Identity to enable people, economy and society to thrive,” concluded Didier Trutt, Chairman of the SIA.
X.1281 is at publication stage and can be accessed here: https://www.itu.int/ITU-T/workprog/wp_item.aspx?isn=18778
OSIA v6.1.0. twin specification can be accessed here: https://osia.readthedocs.io/en/v6.1.0/index.html 
OSIA qualification programme can be accessed here: https://globalplatform.org/osia-qualification-program/
For more information on the Secure Identity Alliance and the OSIA Initiative, visit http://www.secureidentityalliance.org and www.osia.io
For more information on ITU-T SG 17 visit https://www.itu.int/en/ITU-T/studygroups/2022-2024/17/Pages/default.aspx.
About the Secure Identity Alliance:
Secure Identity Alliance (SIA) is a global non-profit association that serves as the voice for public and private actors and organizations active in the secure identity ecosystem and adjacent industries. SIA’s mission is to unlock the full power of identity so that people, economy, and society thrive. The association supports the development of the activities of its members across four broad pillars: Identity for Good, Outreach, Open Standards Development and Industry Services and Solutions. www.secureidentityalliance.org
About OSIA:
A digital public good, OSIA is an open standard set of interfaces (APIs) that enables seamless connectivity between building blocks of the identity management ecosystem – independent of technology, solution architecture or vendor.  More information at www.osia.io
Follow the Secure Identity Alliance at on X @secureidentity1 and LinkedIn at https://www.linkedin.com/company/secure-identity-alliance/ 
About ITU-T SG 17
The ITU Telecommunication Standardization Sector (ITU-T) is one of the three Sectors (branches) of the International Telecommunication Union (ITU). It is responsible for coordinating standards for telecommunications and Information Communication Technology such as X.509 for cybersecurity, Y.3172 and Y.3173 for machine learning, and H.264/MPEG-4 AVC for video compression, between its Member States, Private Sector Members, and Academia Members.
Logo: https://mma.prnewswire.com/media/2394623/OSIA_Logo.jpg
 

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SciBase will present at the Redeye Medtech Event on April 24th

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STOCKHOLM, April 23, 2024 /PRNewswire/ — SciBase Holding AB (“SciBase”) (STO: SCIB), a leading developer of augmented intelligence-based solutions for skin disorders will participate at the Redeye Medtech event.

On April 24 at CET 9.50 CEO Pia Renaudin will present the latest developments in SciBase at Redeye. The presentation is live broadcasted and can be followed at https://www.redeye.se/events/974326/redeye-theme-medtech-2 where the replay and the presentations will be available afterwards.
For additional information, please contact:Pia Renaudin, VD, tel. +46732069802, e-mail: [email protected]
Certified Advisor (CA):Vator SecuritiesTel: +46 8 580 065 99Email: [email protected]
About SciBase:
SciBase is a global medical technology company, specializing in early detection and prevention in dermatology. SciBase develops and commercializes Nevisense, a unique point-of-care platform that combines AI (artificial intelligence) and advanced EIS technology to elevate diagnostic accuracy, ensuring proactive skin health management.
Our commitment is to minimize patient suffering, allowing clinicians to improve and save lives through timely detection and intervention and reduce healthcare costs.
Built on more than 20 years of research at Karolinska Institute in Stockholm, Sweden, SciBase is a leader in dermatological advancements.
The company has been on the Nasdaq First North Growth Market exchange since June 2, 2015. Learn more at www.scibase.com. All press releases and financial reports can be found here: http://investors.scibase.se/en/pressreleases
This information was brought to you by Cision http://news.cision.com
https://news.cision.com/scibase/r/scibase-will-present-at-the-redeye-medtech-event-on-april-24-th-,c3966053
The following files are available for download:
https://mb.cision.com/Main/12371/3966053/2751965.pdf
Redeye presentation
 

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