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AI (Artificial Intelligence) in Medical Imaging Market size to hit USD 27.52 Bn by 2029 at a CAGR of 34.3 percent – Says Maximize Market Research

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Pune, June 30, 2023 (GLOBE NEWSWIRE) — Maximize Market Research, a global Healthcare market research firm has delivered competitive intelligence and market research report on the “AI (Artificial Intelligence) in Medical Imaging Market”. The AI (Artificial Intelligence) in Medical Imaging Market size was valued at USD 1.12 Bn in 2022 and is expected to grow at a CAGR of 34.3 percent from 2022 to 2029, reaching USD 27.52 Bn during the forecast period.

AI (Artificial Intelligence) in Medical Imaging Market Report Scope and Research Methodology

Market Size in 2022 USD 1.12 Bn.
Market Size in 2029 USD 27.52 Bn.
CAGR 34.3 percent (2022-2029)
Forecast Period 2022-2029
Base Year 2022
Number of Pages 274
No. of Tables 116
No. of Charts and Figures 112
Segment Covered Imaging Modality, Technology, Application, Deployment Model and End User
Regional Scope North America, Europe, Asia Pacific, Middle East and Africa, South America
Report Coverage Market Share, Size & Forecast by Revenue | 2022−2029, Market Dynamics, Growth Drivers, Restraints, Investment Opportunities, and Key Trends, Competitive Landscape, Key Players Benchmarking, Competitive Analysis, MMR Competition Matrix, Competitive Leadership Mapping, Global Key Players’ Market Ranking Analysis.

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The bottom-up approach was used for the estimation of the AI (Artificial Intelligence) in the Medical Imaging market size and growth rates in the report. The report is a complete analysis of the AI (Artificial Intelligence) in the Medical Imaging market provided with key findings such as pricing, investments, expansion plans, and physical presence in the AI (Artificial Intelligence) in the Medical Imaging market. The report covers insights into the major drivers, challenges, and major restraints of AI (Artificial Intelligence) in the Medical Imaging Market. Key market participants and new entrants’ services, revenue, financial status, portfolio, growth strategies, and regional presence are all included in the report on AI (Artificial Intelligence) in the Medical Imaging Market.

Regional analysis of the AI (Artificial Intelligence) in the Medical Imaging market conducted at local, regional and global levels. A segment-wise analysis of AI (Artificial Intelligence) in the Medical Imaging market is divided into Imaging Modality, Technology, Application, Deployment models and End User. The report includes primary and secondary data collection methods to collect the data for the market. The qualitative and quantitative analyses are used in the report. The primary collection method includes Surveys, questionnaires and telephonic interviews with AI (Artificial Intelligence) in Medical Imaging market leaders, experts and business owners. The secondary collection includes financial reports, annual reports, press releases, white papers, etc. SWOT analysis is used to identify the threats and weaknesses of the market and PORTER is used to understand the competitive intensity of AI (Artificial Intelligence) in the Medical Imaging industry.

AI (Artificial Intelligence) in Medical Imaging Market Overview

AI (Artificial Intelligence) in Medical Imaging indicates the application of artificial intelligence techniques such as machine learning and deep learning, to the field of medical imaging. To analyze medical images and assist in diagnosis and healthcare professionals in making informed decisions, it includes the use of computer algorithms and models. AI in Medical Imaging goal is to enhance this process by leveraging computational techniques.

AI (Artificial Intelligence) in Medical Imaging Market Dynamics

AI algorithms have the ability to improve diagnostic accuracy in medical imaging. By analyzing large volumes of imaging data, AI models have been detecting subtle patterns and abnormalities that are challenging for human radiologists to identify. This leads to more accurate and reliable diagnoses, minimizing the risk of misdiagnosis. As a result, increasing demand for early and accurate diagnosis drives AI (Artificial Intelligence) in the Medical Imaging Market.

Medical imaging technologies including magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound have significant advancements. These advanced imaging modalities generate a vast amount of complex data that has been efficiently analyzed by AI algorithms, to enable more personalized treatment plans. Thus technological advancements in imaging modalities boost market growth.

The growing volume of medical imaging data, improving AI algorithms and machine learning techniques, government initiatives and investments and advancements in cloud computing are also the driving factors for the industry growth. Data privacy and security is the restraining factor for the market growth.

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AI (Artificial Intelligence) in Medical Imaging Market Regional Insights

North America held the largest AI (Artificial Intelligence) in the Medical Imaging Market share and is expected to have the highest CAGR for the market over the forecast period. There is a rising need for advanced diagnostic tools that have improved accuracy, efficiency, and speed in medical imaging. AI-based solutions have the potential to aid radiologists and healthcare professionals in exhibiting complex medical images, leading to enhanced diagnostic accuracy and better decision-making. As a result, increasing demand for advanced diagnostic tools drives regional market growth. The technological advancements in medical imaging, the rising prevalence of chronic diseases, the growing availability of big data in healthcare, favorable government initiatives, and funding are also the driving factors for regional AI (Artificial Intelligence) in the Medical Imaging industry.

Asia Pacific is expected to have significant growth for AI (Artificial Intelligence) in the Medical Imaging Market over the forecast period. The increasing expenditure on the healthcare sector, technological advancements and increasing demand for advanced medical imaging solutions and a growing focus on AI integration in healthcare to address challenges of healthcare are the responsible factors to influence the market growth.

AI (Artificial Intelligence) in Medical Imaging Market Segmentation

By Imaging Modality

  • X-ray
  • MRI
  • CT scans
  • Ultrasound

On the basis of the Imaging modality, the market is segmented into X-ray, MRI, CT scan and Ultrasound. The X-ray segment is expected to have the significant CAGR for AI (Artificial Intelligence) in the Medical Imaging Market during the forecast period. X-ray imaging is a largely used modality in medical imaging. It is typically used for criticizing bone fractures and lung conditions and identifying foreign objects within the body. AI algorithms have been aided in the analysis of X-ray images, available in the detection of abnormalities including lung nodules, fractures, or abnormalities in the chest.

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By Technology        

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

Based on the Technology, the market is categorized into Machine Learning, Deep Learning, Natural Language Processing and Computer Vision. Deep Learning held the largest AI (Artificial Intelligence) in the Medical Imaging Market share in 2022 and is expected to continue its dominance over the forecast period. Deep learning, an important subset of machine learning, has revolutionized medical imaging analysis by leveraging artificial neural networks with multiple layers to automatically learn features from medical images. It has high accuracy, end-to-end learning, scalability and generalizability and thus it is a more efficient technology for AI (Artificial Intelligence) in the Medical Imaging Market.

By Application        

  • Oncology
  • Neurology
  • Cardiology
  • Radiology

By Deployment Model

  • On-Premise
  • Cloud Based

By End-User

  • Hospitals
  • Diagnostic Centers
  • Research Institutions
  • Others

AI (Artificial Intelligence) in Medical Imaging Market Key Competitors include:

  • GE Healthcare (United States)
  • IBM Watson Health (United States)
  • NVIDIA Corporation (United States)
  • Aidoc (United States)
  • Butterfly Network (United States)
  • Siemens Healthineers (Germany)
  • Philips Healthcare (Netherlands)
  • Sectra AB (Sweden)
  • Agfa-Gevaert Group (Belgium)
  • Zebra Medical Vision (Israel)
  • Canon Medical Systems Corporation (Japan)
  • Ping An Healthcare and Technology Company Limited (China)
  • Infervision (China)
  • Carestream Health (United States, with a strong presence in Asia Pacific)
  • Huiying Medical Technology Co., Ltd. (China)
  • Grupo Fleury (Brazil)
  • Hospital Alemão Oswaldo Cruz (Brazil)
  • Inbrain Neuroelectronics (Spain, with operations in Latin America)
  • Inova (Mexico)
  • Radiologia Integrada (Chile)
  • AIDoc Medical (Israel)
  • AlemHealth (United Arab Emirates)
  • Quantib (South Africa)
  • Mirai Medical (South Africa)

Get the Sample PDF of the Report: https://www.maximizemarketresearch.com/request-sample/190416

Key questions answered in the AI (Artificial Intelligence) in Medical Imaging Market are:

  • What is AI (Artificial Intelligence) in Medical Imaging?
  • What is the CAGR of the AI (Artificial Intelligence) in the Medical Imaging Market?
  • What was the AI (Artificial Intelligence) in Medical Imaging Market size in 2022?
  • What is the expected AI (Artificial Intelligence) in Medical Imaging Market size by the end of the forecast period?
  • What are the global trends in AI (Artificial Intelligence) in the Medical Imaging Market?
  • What are the major challenges that the AI (Artificial Intelligence) in the Medical Imaging Market could face in the future?
  • What growth strategies are the players considering to increase their presence in AI (Artificial Intelligence) in Medical Imaging?
  • What are the upcoming industry applications and trends for AI (Artificial Intelligence) in the Medical Imaging Market?
  • What are the recent industry trends that can be implemented to generate additional revenue streams for AI (Artificial Intelligence) in the Medical Imaging Market?
  • Who are the leading companies and what are their portfolios in AI (Artificial Intelligence) in the Medical Imaging Market?
  • Who dominates the largest market share in AI (Artificial Intelligence) in the Medical Imaging Market?

Key Offerings:

  • Past Market Size and Competitive Landscape (2018 to 2022)
  • Past Pricing and price curve by region (2018 to 2022)
  • Market Size, Share, Size & Forecast by different segment | 2023−2029
  • Market Dynamics – Growth Drivers, Restraints, Opportunities, and Key Trends by Region
  • Market Segmentation – A detailed analysis by Imaging Modality, Technology, Application, Deployment Model, End User and Region
  • Competitive Landscape – Profiles of selected key players by region from a strategic perspective
    • Competitive landscape – Market Leaders, Market Followers, Regional player
    • Competitive benchmarking of key players by region
  • PESTLE Analysis
  • PORTER’s analysis
  • Value chain and supply chain analysis
  • Legal Aspects of Business by Region
  • Lucrative business opportunities with SWOT analysis
  • Recommendations

Maximize Market Research is leading Healthcare research firm, has also published the following reports:

Artificial Intelligence in Healthcare MarketThe market size is expected to reach USD 173.55 Bn by 2029 at a CAGR of 40.2 percent during the forecast period. The market is expected to be driven by the availability of the vast amount of healthcare data, genomic data and increasing demand for improved patient outcomes and cost efficiency.

Remanufactured Medical Imaging Devices Market The market size is expected to reach USD 4.54 Bn by 2029 at a CAGR of 7.1 percent during the forecast period. The market is expected to be driven by the extensive shift of several health institutions towards value-driven health care and increasing demand for advanced digital diagnostics imaging systems.

3D Medical Imaging Market The market size is expected to reach USD 49.81 Bn by 2029 at a CAGR of 6.7 percent during the forecast period. The market is expected to be driven by the growing elderly population and the rising frequency of related disorders.

Medical Imaging Workstations Market The market size is expected to reach USD 2.44 Bn by 2029 at a CAGR of 8.9 percent during the forecast period. The market is expected to be driven by an increasing number of user preferences for digital platforms and rising investments in the healthcare industry

Medical Imaging Market The market size is expected to reach USD 61.30 Bn by 2029 at a CAGR of 6.11 percent during the forecast period. The market is expected to be driven by the increasing demand for early-stage diagnosis of chronic disease, technological developments and the aging demographics.

About Maximize Market Research:

Maximize Market Research is a multifaceted market research and consulting company with professionals from several industries. Some of the industries we cover include medical devices, pharmaceutical manufacturers, science and engineering, electronic components, industrial equipment, technology and communication, cars and automobiles, chemical products and substances, general merchandise, beverages, personal care, and automated systems. To mention a few, we provide market-verified industry estimations, technical trend analysis, crucial market research, strategic advice, competition analysis, production and demand analysis, and client impact studies.


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

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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https://www.instagram.com/kiwidesignins/

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Artificial Intelligence

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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Artificial Intelligence

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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