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Digital Diabetes Management Market to reach over USD 49.5 Bn by the year 2031 – Explained Details | Exclusive Study by InsightAce Analytic
InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the “Global Digital Diabetes Management Market – (By Devices (Smart Glucose Meters, Continuous Glucose Monitoring Systems, And Smart Insulin Pens, Smart Insulin Pumps/ Closed-Loop Pumps & Smart Insulin Patches), Application (Diabetes & Blood Glucose Tracking Apps, Obesity & Diet Management Apps), Data Management Software & Platforms And Services), By Device Type (Handheld And Wearable Devices), By End-User(Self/Home Healthcare, Hospitals & Speciality Diabetes Clinics And Academic & Research Institutes))), Trends, Industry Competition Analysis, Revenue and Forecast To 2031.”
“Digital Diabetes Management Market” in terms of revenue was estimated to be worth $18.11 billion in 2023 and is poised to reach $49.48 billion by 2031, growing at a CAGR of 13.58% from 2024 to 2031 according to a new report by InsightAce Analytic.
Digital Diabetes Management Market Report Scope:
Report Attribute
Specifications
Market Size Value In 2023
USD 18.11 Bn
Revenue Forecast In 2031
USD 49.48 Bn
Growth Rate CAGR
CAGR of 13.58 % from 2024 to 2031
Quantitative Units
Representation of revenue in US$ Bn and CAGR from 2024 to 2031
Historic Year
2019 to 2023
Forecast Year
2024-2031
Report Coverage
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends
Segments Covered
Product and services, Type, End-User
Regional Scope
North America; Europe; Asia Pacific; Latin America; Middle East & Africa
Country Scope
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; China; Japan; India; South Korea; Southeast Asia; South Korea; South East Asia
Recent Developments:
In January 2024, Tandem Diabetes Care, Inc. announced that their t: slim X2 insulin pump with Control-IQ technology is the first AID system to connect with Abbott’s latest continuous glucose monitoring (CGM) device, the FreeStyle Libre 2 Plus.
In November 2023, Ascensia Diabetes Care Poland was recognized as a Great Place to Work by the esteemed organization. Ascensia Diabetes Care is a worldwide leader in diabetes care, known for its CONTOUR Blood Glucose Monitoring (BGM) System portfolio and its exclusive distribution of Eversense Continuous Glucose Monitoring (CGM) Systems.
In October 2023, Insulet recently made headlines when it announced that the FDA had cleared its Omnipod 5 App for iPhone under the 510(k) program. This makes Insulet the only company in the world to offer a tubeless automated insulin delivery (AID) system that can be fully controlled from an Android or iOS smartphone.
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Latest Drivers Restraint and Opportunities Market Snapshot:
Key factors influencing the digital diabetes management market are:
Technological advancements
Combining therapeutic and monitoring capabilities
Artificial intelligence and data analytics integration
The following are the primary obstacles to the digital diabetes management market ‘s expansion:
High cost
Lack of awareness
privacy issues about data
Future expansion opportunities for the digital diabetes management market include:
Increasingly popular usage of interconnected gadgets
Increase in the prevalence of diabetes
Growing population
Market Analysis:
Digital diabetes management encompasses various tools, including insulin pens, sensors, smart glucose meters, closed-loop systems, insulin patches, and various software-based applications and platforms. The use of smart insulin pens has several advantages in the treatment of diabetes. Innovations in technology have opened the door for the market to receive incredibly versatile solutions. Another factor fueling the market’s expansion is the proliferation of smartphone and Internet health-tracking apps.
List of Prominent Players in the Digital Diabetes Management Market:
Medtronic
B. Braun Melsungen AG
Dexcom, Inc
Abbott Laboratories
F. Hoffmann-La Roche
Insulet Corporation
Tandem Diabetes Care
Ascensia Diabetes Care Holdings AG
LifeScan, Inc
Tidepool
AgaMatrix
Glooko, Inc
DarioHealth Corporation
One Drop
Dottli
Ypsomed Holding AG
ARKRAY
ACON Laboratories, Inc
Care Innovations, LLC
Health2Sync
Emperra GmbH E-Health Technologies
Azumio
Decide Clinical Software GmbH
Pendiq GmbH
BeatO
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Digital Diabetes Management Market Dynamics:
Market Drivers: Technological Advancement
Advancements in smart insulin pens are expected to propel the worldwide digital diabetes management industry. Smart insulin pens utilize the iSenz adapter to detect insulin levels. It provides the injection angles for optimizing injection sites for people with diabetes. Easylog is an adaptor that may be used with insulin pens linked to the internet. More and more individuals are keeping track of their health via their cell phones and the internet, fueling the expansion of the market.
Challenges: High Cost
The market’s expansion will be hindered by the high expense of digital diabetes management systems and their poor uptake in developing and emerging nations. Not everyone can afford to use one of the many diabetes management programs available for mobile and desktop platforms. Doctors, nurses, and other medical staff require proper training to accurately interpret blood sugar levels. Concerns concerning patient data protection and the general public’s ignorance about digital diabetes care also slow business expansion in lesser-developed nations.
North America is Expected to Grow with the Highest CAGR During the Forecast Period
The digital diabetes management market is likely to register a significant revenue share and develop at a rapid CAGR in the near future. This is because of the growing interest in digital health and the many people dealing with long-term health conditions. In addition, the market is being propelled forward by elements including a robust supply-side infrastructure, the quick adoption of new technologies, and sufficient reimbursements.
Segmentation of Digital Diabetes Management Market-
By Product & Service
Devices
Smart Glucose Meters
Continuous Glucose Monitoring (CGM) Systems
Smart Insulin Pens
Smart Insulin Pumps/Closed-loop Pumps & Smart Insulin Patches
Application
Diabetes & Blood Glucose Tracking Apps
Obesity & Diet Management Apps
Data Management Software & Platforms
Services
By Device Type
Handheld Devices
Wearable Devices
By End User
Self/Home Healthcare
Hospitals & Specialty Diabetes Clinics
Academic & Research Institutes
By Region-
North America–
The US
Canada
Mexico
Europe–
Germany
The UK
France
Italy
Spain
Rest of Europe
Asia-Pacific–
China
Japan
India
South Korea
Southeast Asia
Rest of Asia Pacific
Latin America–
Brazil
Argentina
Rest of Latin America
Middle East & Africa–
GCC Countries
South Africa
Rest of Middle East and Africa
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Why should buy this report:
To receive a comprehensive analysis of the prospects for the global Digital Diabetes Management Market
To receive an industry overview and future trends in the global Digital Diabetes Management Market
To analyze the Digital Diabetes Management Market drivers and challenges
To get information on the Digital Diabetes Management Market size value (US$ Mn) forecast till 2031
Major Investments, Mergers & Acquisitions in the global Digital Diabetes Management Market industry
Other Related Reports Published by InsightAce Analytic:
Diabetes Management Apps Market
Smart Therapies Market
Internet of Medical Things (IoMT) Market
eConsent In Healthcare Market
The post Digital Diabetes Management Market to reach over USD 49.5 Bn by the year 2031 – Explained Details | Exclusive Study by InsightAce Analytic appeared first on HIPTHER Alerts.
Sainsbury’s, a prominent UK supermarket chain, is set to leverage Microsoft’s artificial intelligence and machine learning tools to elevate its store operations and provide customers with a more engaging and convenient shopping experience.
As part of its strategic initiative, the ‘Next Level Sainsbury’s strategy’, the supermarket will integrate generative AI, powered by Microsoft Azure, to enhance its online shopping platform and optimize customers’ search experience. By harnessing AI capabilities, Sainsbury’s aims to offer a more interactive and personalized online shopping journey for its millions of customers across the UK.
In addition to enhancing the online shopping experience, Sainsbury’s plans to equip its store colleagues with real-time data and insights to streamline in-store processes such as shelf replenishment. Leveraging multiple data inputs, including shelf-edge cameras, AI technology will guide colleagues on prioritizing restocking activities, thereby improving efficiency and productivity.
Over the next five years, Sainsbury’s will deploy Microsoft Azure to implement these initiatives, integrating data assets with Microsoft 365 collaboration tools to drive innovation and operational excellence.
Clodagh Moriarty, Chief Retail and Technology Officer at Sainsbury’s, expressed confidence in the collaboration with Microsoft, emphasizing its role in accelerating the supermarket’s ambition to become the UK’s leading AI-enabled grocer. Moriarty highlighted the strategic investment in transformative capabilities, aimed at enhancing efficiency, productivity, and customer service while delivering value to shareholders.
Clare Barclay, CEO of Microsoft UK, commended Sainsbury’s visionary approach, noting its commitment to placing AI at the forefront of its business strategy. Barclay expressed enthusiasm for the collaboration, emphasizing its potential to revolutionize the retail experience for both customers and store colleagues.
The partnership between Sainsbury’s and Microsoft signifies a significant step towards ushering in the next generation of retail, powered by innovative AI-driven solutions.
Source: technologyrecord.com
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Artificial intelligence has made remarkable strides, from passing bar exams to reading bedtime stories with emotion. Yet, despite these feats, it still falls short of matching the intricate nuances of human communication—particularly, the art of sarcasm.
However, researchers in the Netherlands are determined to change that narrative. They have developed an AI-driven sarcasm detector that can discern when sarcasm is being used, a feat previously thought to be exclusive to human cognition.
Matt Coler, from the University of Groningen’s speech technology lab, expresses excitement about the project’s progress. He emphasizes the importance of understanding sarcasm, a pervasive aspect of human discourse, to facilitate seamless communication between humans and machines.
Recognizing sarcasm poses challenges due to its subtlety, especially in text-based interactions where cues like tone and facial expressions are absent. To overcome this, researchers trained their AI using a combination of text, audio, and emotional content from popular sitcoms like Friends and The Big Bang Theory.
The AI, trained on annotated data from these shows, demonstrated an impressive ability to detect sarcasm in unlabelled exchanges from the sitcoms, achieving an accuracy rate of nearly 75%. Further enhancements are underway, including incorporating visual cues like eyebrow movements and smirks, to improve accuracy even more.
Beyond enhancing interactions with AI assistants, this technology holds potential for detecting negative language and identifying instances of abuse or hate speech. However, as AI becomes more adept at understanding sarcasm, questions arise about its potential to wield sarcasm itself.
Coler muses about the implications of machines responding with sarcasm, raising concerns about clarity in communication. Nonetheless, advancements in AI-driven sarcasm detection offer promising prospects for improving human-machine interactions and bridging the gap between artificial and human intelligence.
Source: theguardian.com
The post Researchers build AI-driven sarcasm detector appeared first on HIPTHER Alerts.
Issues surrounding bias in AI are deeply rooted in the accuracy, trustworthiness, and quality of data, which, if overlooked, can significantly skew outcomes. Lyndsey Jones, an AI author and transformation coach, delves into these concerns, offering valuable insights for newsrooms on monitoring and reviewing data.
Madhumita Murgia, an AI journalist and the first artificial intelligence editor of the Financial Times, sheds light on how women, migrants, precarious workers, and minority groups are disproportionately affected by the technical limitations of Generative AI. Murgia emphasizes the lack of representation of these groups in the development process of AI technologies, highlighting the need for inclusive participation.
WAN-IFRA Women In News workshops on the Age of AI in the newsroom have brought bias effects to the forefront. Through the Digital ABCs training program, media professionals are equipped with skills to navigate the digital landscape and drive organizational change.
A newly launched module focuses on AI, with over 100 participants in eastern Europe taking part, now extended to journalists in parts of Africa, the Middle East, and Southeast Asia. Instances of bias surfaced during the training, such as generating offensive avatars and misinterpretation of accents in AI tools.
Google CEO Sundar Pichai’s acknowledgment of biased AI tools reflects ongoing concerns in the industry. Timnet Gebru’s dismissal from Google for highlighting biases further underscores the need for vigilance in addressing these issues.
Diverse teams in WIN’s Age of AI program are experimenting with various tools like fact-checking and enhancing staff skill sets in AI usage. Projects under consideration for further EU funding include a video lab for content amplification and an AI avatar for journalist safety.
Media companies must ensure diverse staff collaboration when testing AI tools. Quotas for women in AI research and cross-border partnerships may be necessary for smaller media groups to compete effectively.
Journalists can take steps to improve content quality by examining storytelling practices and ensuring diversity in sources and representation. Consistency of data collection across departments and assessing biases in data sets are crucial for ethical AI usage in journalism. Ultimately, AI tools should be used to enhance journalism’s quality and integrity, rather than generating clickbait or misinformation.
Source: wan-ifra.org
The post AI, bias and experiments: how Women in News is tackling tech’s inbuilt stereotypes appeared first on HIPTHER Alerts.
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