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Artificial Intelligence

Automotive Artificial Intelligence (AI) Market Size to Hit USD 19.1 Bn by 2030

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Tokyo, Sept. 22, 2022 (GLOBE NEWSWIRE) — The global automotive artificial intelligence (AI) market size was valued at USD 2.9 billion in 2021. The development in the auto business is supposed to drive the automotive artificial intelligence market. The car business has encountered the guarantee of man-made consciousness and is among the significant enterprises utilizing AI to increase and copy the activity of people. Besides, the development of norms like high-level driver helps framework (ADAS), versatile voyage control (ACC), vulnerable side caution, and development sought after for comfort highlights draw in auto merchants towards AI.

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Computerized reasoning (AI) frameworks are utilized to change, cycle, and capacity information and calculations to emulate the scholarly elements of the human brain, and gain the ability to naturally retain and determine issues. Vehicles with self-driving highlights are bound to take on such frameworks to work on their productivity and working.

Key Insights:

  • The hardware segment has accounted market share of over 58% in 2021.
  • The Asia Pacific hit market share of over 80% in 2021.
  • By application, the semi-autonomous segment has generated 53% market share in 2021
  • By technology, computer vision segment has contributed market share of over 34% in 2021.

Regional Snapshot

The Automotive Artificial Intelligence Market in APAC is supposed to develop at a high rate somewhere in the range of 2021-2030. APAC’s enormous populace, quickly developing economies, and rising expectations for everyday comforts are strategically situated to ride the AI wave. This district houses laid out automakers like Toyota (Japan), Hyundai Motor Company (South Korea), and Honda Motor Company (Japan). Different nations in APAC, like South Korea and Japan, have serious areas of strength for have abilities. The district, thusly, addresses a reasonable mix of interest and innovation, making it an optimal venture for any OEM.

Report Highlights

  • Based on component type, the software segment is expected to keep a bigger part share concerning parts Continuously lessening association cost of cloud-based programming arrangements close by a rising need to relate various information of premium for the steady blend of cycles will achieve programming segment emerging as the critical financial backer concerning parts. The part should stay aware of its slice of the pie during the guess time with state-of-the-art developments emerging keeping watch and have to update structures to streamline cycles and exercises inside the auto business.
  • Based on technology, PC vision is arranged to make an impact in the overall vehicle man-made cognizance market with a high improvement rate. PC Vision is prepared to show the fastest advancement across the overall vehicle man-made intellectual prowess market. A couple of associations across the globe have started to embrace picture affirmation as one of the man-made cognizance-based plans in free or semi-free applications which the majority would view as typical to reshape their business.

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Scope of the Report

Report Attributes Details
Market Size in 2021 USD 2.9 Billion
Revenue Forecast by 2030 USD 19.1 Billion
Europe Market Share 28% in 2021
CAGR 23.3% from 2022 to 2030
Base Year 2021
Forecast Year 2022 to 2030
Key Players Intel Corporationm, Waymo, LLC., IBM Corporation, Microsoft Corporation, Nvidia Corporation, Xilinx, Inc., Micron Technology, Inc., Tesla, Inc., General Motors Company, Ford Motor Company and Others.

Market Dynamics

Drivers

The increasing market revenue due to the technological advancements

  • The growing positive knowledge among purchasers concerning free progressions will enhance the market pay. As purchasers are rapidly taking on driver-assist progress with reducing the driving weight and assurance of road prosperity, the interest for autonomous vehicles will flood beneficially throughout the gauge timeframe. Auto producers are noticing these examples and are offering innovative driver-assist replies with acquiring a high ground. Another variable adding to the automotive artificial intelligence Market share is the growing revenue for driver convenience and further creating permission to adaptability.

Restraints

Lack of awareness and high cost of Artificial Intelligence-based Automobiles

  • Independent vehicles have made the existence of customers protected and advantageous. Notwithstanding, there are sure dangers that are looked at by the makers connected with security and protection concerns like the wellbeing of individual information, digital assaults, and driver interruptions. For example, around 1.4 million Fiat Chryslers were reviewed in the US because of an error in their dashboard PCs that allowed programmers to debilitate the vehicle. Essentially, white cap programmers were effective in embedding malware into the arrangement of a Tesla vehicle. These examples of meddling with client security are a portion of the significant restrictions in the market development.

Opportunities

Growing advancements in the automotive technology are estimated to generate higher revenues

  • The vehicle area is near the very edge of a huge disturbance. Visionary automakers have started executing creative advances in their items and cycles to remain one stride in front of their industry peers. Man-made brainpower and information science mix has helped auto producers yet in addition to part providers, programming suppliers, vehicle rental firms, and other car-related undertakings. In the broadest sense, one can partition AI in the auto space into three classes, particularly concerning vehicles. There’s the vehicle plan and creation. There’s the purchasing venture.

Challenges

Lack of trust among consumers is one of the major challenges faced by the market

  • Another worry automakers are right now confronting is acquiring the client’s trust. While fairly prepared for a vehicle to help out and about, the equivalent isn’t valid for self-driving vehicles. The eagerness of individuals to believe AI in vehicles is expanding at an exceptionally sluggish rate: the numbers were unaltered through 2020 and 2021, with just an 8% ascent from 2019. This is the way things look now: current clients maintain that a vehicle should be utilitarian, agreeable, safe, give extra infotainment usefulness, yet stay subordinate (not overwhelmed) while out and about.

Related Reports

Recent Developments

  • In March 2021, BMW introduced iDrive 8, the company’s next infotainment system, which aims to be a drive digitally connected, smart and proactive companion. Future BMW iX and i4 models will be powered by computer vision, computational linguistics, AI cloud, and 5G.
  • In May 2021, Didi Chuxing announced a strategic partnership with Volvo Cars on autonomous vehicles for DiDi’s self-driving test fleet. Volvo autonomous drive-ready XC90 cars will be the first to integrate DiDi Gemini, a new self-driving hardware platform, which is equipped with NVIDIA DRIVE AGX Pegasus. These vehicles, equipped with DiDi’s Gemini self-driving hardware platform, will eventually be deployed in robotaxi services.
  • In June 2020, Waymo and the Volvo Cars Group consented to team up on the improvement of a self-driving electric vehicle for ride-hailing as a feature of another worldwide participation. Waymo will focus on computerized reasoning and explicit innovation, similar to cameras, lidar, and radar, for the independent “driver.” Volvo will plan and build the vehicles.
  • In July 2019, The Volvo Group and NVIDIA have consented to team up on the dynamic framework for independent business vehicles and machines. The subsequent framework is intended to securely oversee independent driving on open streets and roadways by using NVIDIA’s start to finish man-made consciousness stage for preparing, reenactment, and in-vehicle registering.

Market Segmentation

By Offering

  • Hardware
  • Software
  • Service

By Technology  

  • Computer Vision
  • Context Awareness 
  • Deep Learning
  • Machine Learning
  • Natural Language Processing

By Application  

  • Autonomous Driving
  • Human–Machine Interface
  • Semi-autonomous Driving

By Process

  • Signal Recognition
  • Image Recognition
  • Voice Recognition
  • Data Mining

By Component

  • Graphics processing unit (GPU)
  • Field Programmable Gate Array (FPGA)
  • Microprocessors (Incl. ASIC)
  • Image Sensors
  • Memory and Storage systems
  • Biometric Scanners
  • Others

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East & Africa (MEA)

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Artificial Intelligence

SQream’s No-Code Platform Panoply Earns 21 G2 Badges in Key Customer Satisfaction Categories for Spring 2024 Report

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These badges demonstrate Panoply’s Continuously Unparalleled Excellence in data warehousing and data extraction based on compiled user reviews
NEW YORK, April 16, 2024 /PRNewswire/ — SQream, the GPU accelerated data processing and analytics company, announced today the remarkable achievement that its no-code ELT and analytics platform Panoply, has received 21 prestigious G2 badges for Spring 2024. These accolades highlight Panoply’s continued commitment to excellence and innovation in the data warehouse and ELT (Extract, Load, Transform) space, and underscores Panoply’s dedication to their customers, particularly in the realm of ease of use, and marks the highest number of badges awarded to the company in one report to date.

G2, a prominent authority in business software and service evaluations, leverages the collective knowledge of its user community to aid individuals in making well-informed choices regarding software and services for their enterprises. The G2 Spring 2024 Report rankings underscore Panoply’s significance to small- and medium-sized businesses grappling with data extraction challenges and highlight the exceptional simplicity of Panoply’s no-code approach.
“We are truly honored to receive 21 G2 badges, which reflect Panoply’s year-on-year growth in customer satisfaction. Simplifying data management in the no-code ELT space is at the core of our commitment to our customer base, and we are thrilled to see that Panoply’s exceptional solutions driving data transformation consistently receive this trusted stamp of approval,” said Ami Gal, CEO and Co-Founder of SQream. “We look forward to advancing our strategy of delivering robust data management solutions across all business types—from SMBs leveraging Panoply for streamlined cloud-based warehousing to enterprises implementing GPU-accelerated analytics with SQream, both in the cloud and on-prem. Our commitment remains to empower every organization to maximize their data potential and drive business success.”
Panoply has consistently set the industry standard for delivering user-friendly solutions that empower organizations to harness the full potential of their data. In the Spring 2024 G2 reports, Panoply earned badges in a wide array of categories, both for their data warehouse capabilities and ETL tools, showcasing its exceptional performance and dedication to simplifying complex data processes, including:
Data Warehouse Category: 
Best Estimated ROIBest Estimated ROI – Mid-MarketBest Support – Small BusinessEasiest AdminEasiest Admin – Mid-MarketEasiest Admin – Small BusinessEasiest Setup – Mid-MarketEasiest to Do Business With – Small BusinessEasiest to UseEasiest to Use – Small BusinessFastest Implementation – Small BusinessHigh PerformerHigh Performer – Asia PacificHigh Performer – EMEAHigh Performer – Mid-MarketHigh Performer – Small BusinessETL Tools Category: 
Easiest AdminEasiest SetupHigh PerformerHigh Performer – Mid-MarketHigh Performer – Small BusinessPanoply’s no-code approach to data management provides greater visibility into business performance by aggregating data from multiple data sources to deliver deeper insights. With Panoply, organizations can automatically store raw data in analysis-ready tables, create core business logic to keep metrics consistent, and explore and visualize their data within the platform’s workbench. Deploying a consolidated storage solution like Panoply also centralizes access to data assets to provide a single source of truth.
If you want to learn more about how Panoply can help you gain fast data insights, visit https://panoply.io and schedule a demo.
About Panoply by SQream
Panoply’s managed data warehouse plus ELT and dashboards make it easy for users to sync, store, access, and visualize their data without complex code. Panoply is a product line of SQream, specializing in data processing and analytics acceleration, revolutionizing the way organizations approach big data analytics and AI/ML workloads with its unique GPU-patented SQL engine. SQream’s solutions are designed to meet the needs of enterprises grappling with massive or complex datasets, offering unparalleled performance, scalability, and cost-efficiency. Tailored for industries ranging from finance to telecommunications, SQream empowers businesses to unlock actionable insights from their data with unprecedented speed and efficiency.
SQream is trusted by leading enterprises including LG Electronics, Samsung Display, Sinch, Orange, AIS, and more. To learn more, visit sqream.com or follow us on Twitter @sqreamtech.
Media Contact:Raz KaplanSenior Marketing Manager at SQream+972 [email protected]
Logo – https://mma.prnewswire.com/media/2068670/4641094/SQream_Logo.jpg
 
 

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Artificial Intelligence

TeachAI Announces Foundational Policy Ideas for AI in Education, a New Resource for Education Leaders and Policymakers

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SEATTLE, April 16, 2024 /PRNewswire/ — Today, TeachAI, an initiative led by Code.org, ETS, the International Society of Technology in Education, Khan Academy, and the World Economic Forum, announced the launch of a groundbreaking resource for education leaders and policymakers around the world – Foundational Policy Ideas for AI in Education. The development of this resource was led by AASA, CCSSO, Code.org, CoSN, COSSBA, Education Commission of the States, ExcelinEd, ETS, InnovateEDU, NASBE, NSBA, NEA, SEAMEO, and SETDA. It is designed to help education leaders and policymakers navigate the evolving landscape of artificial intelligence (AI) in education.

The resource, which has been informed by over 70 organizations representing industry, government, non-profits, and educator associations, offers policy ideas, informational briefs, talking points, and a customizable presentation. These materials propose five key policy ideas essential for the safe, effective, and responsible use of AI in education.
Foster Leadership: Establish an AI in Education Task Force to oversee policy development and implementation.Promote AI Literacy: Integrate AI concepts and skills into existing curriculum and instruction.Provide Guidance: Equip schools with guidance on the safe and responsible use of AI.Build Capacity: Provide funding and programs to support professional development on AI.Support Innovation: Promote the research and development of safe and effective AI in education practices, curricula, and tools.”These tools serve as practical resources, aiding leaders in understanding AI’s implications for education,” says Michele Blatt, State Superintendent of Schools, West Virginia. “It is critical that we ensure appropriate supports and guardrails are in place for our teachers and students to effectively use generative artificial intelligence. We must remember that AI is an additional technology tool that can increase productivity and support innovation while recognizing the importance of the teacher in the process.”
As AI becomes increasingly embedded in society and the workforce, education systems across the globe recognize the opportunity and the challenge posed by these advancements. From enhancing student engagement and addressing learning loss to transforming and redefining the essential skills of the workforce, AI offers possibilities for improving educational and career outcomes. This potential hinges on the responsible and ethical use of AI, taught through a framework that addresses critical concerns such as bias, misinformation, and the preparation of students for a world transformed by AI.
Nicolás Cataldo Astorga, Minister of Education, Chile, notes: “As educational systems, we must act swiftly to address a world where artificial intelligence is rapidly emerging. For public policy, this entails collaborating with communities, particularly educators, to creatively, critically, and safely harness these tools for learning, equity, and inclusion.”
“Artificial Intelligence will soon augment nearly every sector of our workforce, and our education system must prepare our students for that future,” says Chris Reykdal, Washington State Superintendent of Public Instruction. “Our mission is to embrace AI in our classrooms to enhance student learning; centering student inquiry, student reflection, and critical thinking.”
TeachAI invites education leaders and policymakers to explore these foundational policy ideas as a step towards embracing the transformative potential of AI in education while also addressing its challenges with foresight and responsibility.
Catherine Truitt, State Superintendent of Public Instruction, North Carolina, says: “By equipping educators and students with the knowledge and skills of AI, we are ensuring they are better prepared for their future. This valuable resource can help create policies and practices to responsibly incorporate AI into education.”
Visit www.teachai.org/policy to see the Foundational Policy Ideas for AI in Education.
About TeachAI
TeachAI brings together education leaders and technology experts to assist governments and education authorities in teaching with and about AI. The initiative is led by Code.org, ETS, the International Society for Technology in Education, Khan Academy, and the World Economic Forum and advised by a diverse group of 100+ organizations, governments, and individuals. TeachAI’s goals include guiding policy, building community and capacity, and increasing awareness. To learn more about TeachAI, please visit www.teachai.org/about.
 

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Artificial Intelligence

SeeTrue’s AI Automated Threat Detection Solution Expands to Pafos Airport After Successful Implementation at Larnaka Airport

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Hermes Airports Boosts Security and Operational Efficiency with SeeTrue’s Solution
FRANKFURT, Germany, April 16, 2024 /PRNewswire/ — SeeTrue, the leading provider of AI Automated Threat Detection software solutions, announces today that it will now be implemented at Pafos Airport after a successful implementation at Larnaka Airport by Hermes Airports Group. This expansion marks a significant step in enhancing security measures at Pafos Airport and providing a smoother passenger journey with a fast and secure screening process.

Hermes, the operator of both Larnaka and Pafos International Airports, which set a record by serving 11.6 million passengers in 2023, aims to enhance the security screening process and overall passenger experience at each location. To this end, SeeTrue’s solution has been installed across all passenger terminal checkpoints at the airports.
This pioneering move has significantly enhanced the airport’s ability to expedite passenger flow through checkpoints, offering a superior experience characterized by smoother operations and consistent security standards. The implementation of SeeTrue AI technology has resulted in higher passenger throughput and streamlined the security screening process, leading to improved operational efficiency.
The SeeTrue AI solution is running an open architecture platform, making it compatible with multiple scanners across various models and OEMs. This adaptability is crucial for airports, such as Larnaka, which utilize security scanners from multiple vendors.
“We are excited about our partnership with Hermes Airports,” stated Assaf Frenkel, CEO and Co-Founder of SeeTrue. “This expansion is a testament to the effectiveness and reliability of our technology in enhancing airport security measures. We are committed to delivering top-tier solutions to ensure the safety and security of travelers and airport personnel.”
“Hermes Airports has an ongoing commitment to enhancing security and the passenger experience,” said Miltos Miltiadous, Chief Operating Officer at Hermes Airports. “With the SeeTrue AI technology, we have observed higher passenger throughputs and streamlined the security screening process.”
SeeTrue will be exhibiting at the Passenger Terminal Expo in Frankfurt on 16-18 April at Hall 5 Booth A170 to showcase its solutions.
About SeeTrue:
SeeTrue is a global leader in Security Screening Solutions, leveraging its state-of-the-art AI technology for secure, fast, and efficient threat detection. SeeTrue’s AI-based automatic threat detection software is implemented worldwide on top of X-ray and CT systems at airports, seaports, urban security checkpoints, customs, and shipment facilities, making security and travel as fast and secure as possible while improving operational efficiency.
SeeTrue operates in Tel Aviv, London, New York and Amsterdam. For more information, visit the company’s website at www.seetrue.ai
About Hermes Airports:
Hermes Airports Ltd. manages and operates Larnaka and Pafos International Airports, under a 25-year BOT (Build-Operate-Transfer) concession agreement with the Republic of Cyprus. The airports offer world-class, state of the art facilities, with an emphasis on excellent customer service. Hermes is committed to improving Cyprus’ connectivity and enhancing the overall passenger experience.
Contact Details:
Sharon SalzmanDirector of Marketing, [email protected]
Video – https://www.youtube.com/watch?v=nKE947hmJcg

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