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Global Machine Learning Market Research Report 2023: Industry Size, Share, Trends, Opportunity, and Forecasts, 2018-2022 & 2023-2028

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Dublin, July 17, 2023 (GLOBE NEWSWIRE) — The “Machine Learning Market – Global Industry Size, Share, Trends, Opportunity, and Forecast. 2018-2028 Segmented By Component (Services & Solutions), By Enterprises Size (SMEs and Large Enterprises), By Deployment (Cloud and On-premises), By End-User, By Region” report has been added to ResearchAndMarkets.com’s offering.

The Global Machine Learning Market is anticipated to grow at a robust pace in the forecast period 2022-2028

Technological innovation is the key strength behind the growth of the global machine-learning market. Artificial intelligence (AI) in machine learning (ML) enables computer programmers to forecast outcomes more accurately without being expressly trained.

AI and machine learning are the newest boundaries for development and IT enterprises. Machine learning is an area of research focused on analyzing and developing ‘learning’ processes and methods that use data to enhance efficiency on a given set of tasks.

Rising adoption of cloud-based services & ability to perform effectual output

Massive amounts of data can be reviewed by machine learning, which can identify trends and patterns that people would overlook. For instance, an e-commerce site like Amazon, knowing its customers’ browsing patterns and past purchases, enables it to offer them the appropriate goods, discounts, and reminders.

Furthermore, machine learning is used in part by ServiceNow, a cloud computing platform. The organization, which provides workflow software, employs machine learning to assist its clients in automating as many tedious procedures as possible and ensuring that staff members are working efficiently.

The ability to perform operations without involving human involvement, improvements in data center capabilities, and high computing power contribute to the technology’s rise to prominence. Additionally, the market is expanding as a result of the quick adoption of cloud-based technologies in numerous sectors, such as Virtual services like software as a service (SaaS), platforms as a service (PaaS), and infrastructure as a service.

Machine Learning allows the identification of failures and their mitigation, directly affecting the standard and advancement of the process. Making errors enables process improvement. In addition to the ability for mistake and failure prevention, ML has stock prediction algorithms. Models built from data can forecast when an error may happen, enabling preventative measures to stop it from happening. This will likely cause the market to grow throughout the projected period.

Latest Trend of Self-Driving Vehicles and Multiple Handle Datasets

Companies are using this open-source artificial intelligence library to develop their machine-learning capabilities. For Instance, TensorFlow is library organizations use to build Java projects, data flow graphs, and various applications.

APIs for Java are also present. For instance, Accenture Consultancy and professional services firms are using machine learning-based technologies with a market cap of USD 229 billion. Due to this market is expected to grow in the forecast period.

Many modern mobile devices can recognize autonomously when a user performs a certain activity, like cycling or running. Nowadays, novice machine learning engineers utilize a dataset that comprises fitness activity records for a few people that were acquired using mobile devices equipped with inertial sensors to practice with this sort of project.

Furthermore, students are using categorization models that can precisely forecast future actions. Due to this, the adoption of machine learning in the datasets market is likely to increase in the forecast period.

ML is also being introduced in the automotive sector. For instance, Tesla, an American multinational company, announced the launch of self-driving. Although they have generated controversy, self-driving cars constitute one of the most remarkable advancements introduced in machine learning. This market is expected to grow with a high CAGR in the forecast period.

The machine-learning market has also expanded due to the integration of machine learning-in robots. For instance, Robot installations reached a new height in the United States in 2018, according to the statistics yearbook ‘World Robotics.’ Supporting they are using Line Follower Robot Using PID Algorithm due to which the Global machine learning market is expanding in the future.

Lack of skilled employees

However, the main difficulty most organizations have when integrating machine learning into their business processes is a lack of qualified workers with analytical talent, and there is an even greater need for those who can keep an eye on analytical material.

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Machine Learning Market.

  • Amazon Web Services, Inc.
  • Baidu, Inc.
  • Domino Data Lab, Inc.
  • Microsoft Corporation
  • Google, Inc.
  • Alpine Data
  • IBM Corporation
  • SAP SE
  • Intel Corporation
  • SAS Institute Inc.

Report Scope:

In this report, Global Machine Learning Market has been segmented into the following categories, in addition to the industry trends, which have also been detailed below:

Machine Learning Market, By Component:

  • Services
  • Solutions

Machine Learning Market, By Enterprises Size:

  • SMEs
  • Large enterprises

Machine Learning Market, By Deployment:

  • Cloud
  • On-premises

Machine Learning Market, By End-user:

  • Healthcare
  • Retailer
  • IT & telecom
  • Automotive and Transports
  • Advertising & Media
  • BFSI
  • Government and Defense
  • Others

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

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.


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Artificial Intelligence

Elevate Your Virtual Reality Experience with KIWI design RGB Vertical Stand, Now Available on Meta’s Website

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LOS ANGELES, May 11, 2024 /PRNewswire/ — Top-tier VR accessories provider KIWI design has launched its latest product, the RGB Vertical Stand. This Meta-authorized accessory, designed to deepen users’ immersion in the metaverse, is now available on the official Meta website.

“KIWI design’s commitment to pushing the boundaries of virtual reality accessories takes another leap forward with the introduction of our new products,” said Ray,the CEO of KIWI design. “We are always dedicated to bringing innovative upgrades to VR device accessories, with the goal of enriching users’ virtual reality experiences.”
The newly launched RGB Vertical Stand features a user-friendly modular design with push-in assembly, making it easy to set up and use. It is compatible with Meta Quest 3, Quest 2, and Quest Pro, ensuring widespread usability. With a magnetic USB Type-C connector, it provides an effortless way to charge and display your headset. Users can also customize their display with 16 pre-set ambient multicolor RGB light options.
With VR technology constantly evolving, users are seeking more immersive experiences. As a leading manufacturer of VR accessories, KIWI design is committed to enhancing the user experience, through unique product designs. Since its establishment in 2015, KIWI design has acquired over 100 patents and has a diverse product lineup, including head straps, facial interfaces, VR stands, charging accessories, and controller grip covers.
KIWI design has also actively participated in the Made for Meta program, which is provided by Meta to strengthen its partnerships with leading brands to deliver accessories that enhance Meta products with more choice and a richer experience for everyone. KIWI design’s participation in this program validates its high-quality design standards.
The RGB Vertical Stand for Meta Quest 3, Quest 2, and Quest Pro and another specially designed authorized charging dock for the Meta  Oculus Quest 2 are now available for purchase on both KIWI design’s website and Amazon. For more information about our brand and products, please visit our website and follow KIWI design on Facebook, Instagram, X, YouTube and TikTok.
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WIO Taps Gracenote to Revolutionize Television Broadcast Reporting

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LOS ANGELES, May 11, 2024 /PRNewswire/ — WIO LLC, parent company of the global TV broadcast airings platform, WIOpro™, has announced a new strategic agreement with Gracenote, the global content data business unit of Nielsen, to address the longstanding challenge of accurately tracking and collecting music royalties generated by broadcast television and digital programming, With this agreement, WIO will integrate Gracenote TV program metadata and show airings into its WIOpro™ (“When’s It On – Professional”) platform enabling performance rights organizations, copyright management organizations and other entities to better monitor broadcast schedules and identify when royalties have been earned.

By integrating Gracenote historical program data into WIOpro’s new LookBack™ feature, WIO is enhancing its reporting capabilities and empowering Collection Societies, Rights Management Companies and the royalty-earning community to more easily monitor and export broadcast airings and better understand collections opportunities.
“At WIO, we are committed to empowering collection societies and copyright holders around the world with our platform tools and unprecedented access to the best and most accurate television broadcast and streaming data available,” said Shawn Pierce, Co-Founder and CEO of WIO LLC. “We have enjoyed an incredible relationship with Gracenote for 10 years. With the solidification of this agreement, we are able to deliver an unrivaled dataset to the royalty and residual community in a way that has not been offered before.” said Adam Shafron, Co-Founder and CTO of WIO LLC.
“WIO’s platform developed to solve the difficult matter of royalty tracking only becomes more powerful based on the integration of accurate, timely and comprehensive Gracenote metadata,” said Scott Monahan, Director, Strategic Partnerships, Gracenote. “We look forward to the combination of WIOpro’s technology and Gracenote’s program metadata delivering on the promise of transforming music royalty collection so that rights holders can be fairly compensated for use of their work.”
WIO and Gracenote will be at the MusicBiz 2024 conference in Nashville, TN May 13 – 16. Contact Dave Pelman, COO of WIO LLC at [email protected] for media queries or to book an appointment for a product demonstration.
About WIO:WIO is a technology company dedicated to providing broadcast television and digital programming data tailored specifically for the royalty and residual collection industry. Through its platform WIOpro (wiopro.com), users obtain access to real-time broadcast insights, reporting and curated data delivery.
About Gracenote:Gracenote is the content data business unit of Nielsen providing entertainment metadata, connected IDs and related offerings to the world’s leading creators, distributors and platforms. Gracenote enables advanced content navigation and discovery capabilities helping individuals easily connect to the TV shows, movies, music, podcasts and sports they love while delivering powerful content analytics making complex business decisions simpler.
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IDTechEx Explores Printed Electronics in Electrified and Autonomous Mobility

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BOSTON, May 10, 2024 /PRNewswire/ — Electrification, autonomy, and vehicle ownership saturation are causing a technological revolution in the automotive sector. These automotive meta-trends are driving drastic changes in electronic component requirements and present a high-volume opportunity for printed electronics to capitalize on.

Historically, printed electronics technologies have nurtured a close relationship with the automotive sector, with printed force sensors pioneering passenger safety through seat occupancy and seatbelt detection. As such, the automotive sector continues to represent the lion’s share of the global printed and flexible sensor market, which IDTechEx’s report on the topic evaluates as worth US$421M in 2024. However, if the automotive sector is to continue to be a reliable revenue stream, printed electronics technology providers must adapt to address the emerging technical challenges facing future mobility.
Augmenting autonomous vehicles with printed electronics
As vehicle autonomy levels advance, the increasing number and distribution of spatial mapping sensors required will need continuous performance improvements to ensure passenger safety. Emerging printed electronics technologies can augment these sensors, extending detection bandwidth and maximizing reliability during operation.
Transparent conductive films (TCFs) are being developed to heat and defog LiDAR sensor panels, ensuring the function is unperturbed by external environmental conditions. Properties such as high transparency and low haze are important for defogging. These properties can be easily tuned using the wide variety of material options available for TCFs, including carbon nanotubes and silver nanowires.
IDTechEx identifies printed heating as a leading application of transparent conductive films. This is attributed to diminishing growth prospects in capacitive touch sensing applications. Innovations in thin film coating techniques have enabled indium tin oxide (ITO) to dominate touch sensing applications, all but displacing TCFs completely.
Looking towards the future, printed electronics technologies could play a more active role in advanced autonomous driving. Emerging semiconductive materials, such as quantum dots, printed directly onto conventional silicon image sensor arrays can extend detection range and sensitivity deeper into the infrared region. Augmenting existing image sensor technology with enhanced spectral range could facilitate the competition of hybrid silicon sensors with established InGaAs detectors.
Printed sensors promise granularized battery health monitoring
Vehicle electrification is driving the sustained development and evolution of electronic management systems, particularly in the battery and electric drivetrain. A strong market pull exists for technologies that increase vehicle efficiency, range, and lifetime while reducing recharge times.
Printed pressure and temperature sensors measure battery cell swelling and thermal profiles, providing granularized physical data that can be used to optimize battery deployment and recharging. Moreover, hybrid printed sensors that combine integrated printed heating elements promise a solution to actively address battery temperature. IDTechEx estimates that printed sensor-enabled battery deployment and charging optimizations could be worth up to US$3000 in savings per vehicle.
There remains uncertainty about whether electrification trends will correspond to increased demand for physical sensors in electric vehicle batteries, owing to the utility of existing electronic readouts for managing deployment. Virtual sensors also pose a threat, where AI-enabled software models interpret data to predict and emulate physical sensor functions without the need for discreet components. However, emerging regulations regarding safety and sensor redundancy will likely favor measurable metrics and see automotive makers continue to adopt physical sensors. IDTechEx predicts that virtual sensors are unlikely to displace their physical counterparts – so long as low-cost sensors remain widely available.
Embedding printed electronics in the car of the future
IDTechEx predicts that global car sales will saturate over the next decade, with automakers increasingly looking for premium features and technical innovations to differentiate themselves from the competition. In-cabin technologies will be highly desirable – as the location where passengers reside and interact with the vehicle the most.
Lighting elements are emerging as a prominent differentiator, described as “the new chrome” by Volkswagen’s chief designer. The use of in-mold structural electronics (IMSE) enables the integration of embedded lighting elements using existing manufacturing processes. 3D electronics technologies are intrinsically attractive for automotive integration, as functional layers are conformable and lightweight while easily embedded within existing aesthetic elements.
Despite strong tailwinds, the adoption of in-mold electronics within automotive interiors has been sluggish. This is attributed to the challenges of meeting automotive qualification requirements, as well as stiff competition with less sophisticated alternatives such as applying functional films to thermoformed parts. Nevertheless, momentum is building, with technology providers like Tactotek partnering with Mercedes-Benz and Stallantis to progress the automotive validation of IMSE to TRL5.
Outlook for printed electronics in automotive applications
Just as printed force sensors heralded early passenger safety systems, printed electronics technology is poised to underpin next-generation innovations for the car of the future. But this time, the competition will be stiff. Critical cost requirements must be met, while desirable new functionality must address existing challenges faced by manufacturers. Printed electronics can play a role in supporting emerging electrified and autonomous mobility, such as augmenting LiDAR sensors or optimizing electric battery deployment. Demand for technologies that enhance passenger experience and vehicle aesthetics will continue to grow, and printed electronics can supply low-power, lightweight lighting solutions for these.
Sustained engagement from tier suppliers and manufacturers continues to make the automotive sector key to printed sensor market growth opportunities – a total market IDTechEx predicts will reach US$960M by 2034. Strong partnerships between material providers and printed electronics technology providers are complementary to those of the highly vertically integrated automotive value chains between tier suppliers and OEMs. Leveraging printing techniques to provide solutions that slot into existing manufacturing processes and designs will be crucial. In the medium term, the printed electronics technologies most likely to realize revenue potential are those that can adapt to service emerging challenges already known to the automotive industry.
For more information on IDTechEx’s research on this topic, please see their report, “Printed and Flexible Sensors 2024-2034: Technologies, Players, Markets”. Downloadable sample pages are available for this report.
For the full portfolio of printed and flexible electronics market research from IDTechEx, please visit www.IDTechEx.com/Research/PE.
About IDTechEx:
IDTechEx provides trusted independent research on emerging technologies and their markets. Since 1999, we have been helping our clients to understand new technologies, their supply chains, market requirements, opportunities and forecasts. For more information, contact [email protected] or visit www.IDTechEx.com. 
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Media Contact:
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