Artificial Intelligence (AI) in Diagnostics Market Trends, Future Outlook, SWOT Analysis, Forecast 2023-2029 | Aidoc Medical Ltd., AliveCor, GE Healthcare, IDx Technologies

The qualitative report published by market intelligence data research on the "Artificial Intelligence (AI) in Diagnostics Market offers an in-depth examination of the current trends, latest expansions, conditions, market size, various drivers, limitations, and key players along with their profile details. The Artificial Intelligence (AI) in Diagnostics market report offers the historical data for 2017 to 2022 and also makes available the forecast data from the year 2023 to 2029 which is based on revenue. With the help of all this information research report helps the Market contributors to expand their market positions. With the benefit of all these explanations, this market research report recommends a business strategy for present market participants to strengthen their role in the market. This report analyzes the impact of the Covid 19 pandemic on the Artificial Intelligence (AI) in Diagnostics Market from a Global and Regional perspective.

The global Artificial Intelligence (AI) in Diagnostics Market size was valued at USD 910.69 million in 2022. It is estimated to reach USD 11,308.68 million by 2029, growing at a CAGR of 32.33% during the forecast period (2023-2029).

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Top Key Players are covered in the Artificial Intelligence (AI) in Diagnostics Market Report:

 Aidoc Medical Ltd., AliveCor, GE Healthcare, IDx Technologies, Imagen Technologies, NovaSignal Corporation, Riverain Technologies, LLC, Siemens Healthineers, VUNO, Inc., Zebra Medical Vision Ltd., Canon, Subtle Medical, DeepMind, Samsung Healthcare, Koninklijke Philips N.V., Butterfly Network

Recent Developments

May 2023- The launch of a cutting-edge testing platform based on Component Resolved Diagnostics (CRD) to identify different types of allergies in India was announced by Metropolis Healthcare Limited. To help clinicians make wise clinical decisions, this 4th generation of allergy testing technology incorporates artificial intelligence. It also offers tremendous insights into choosing and optimizing the course of treatment for a patient's allergic disease.
March 2023- An enhanced prostate cancer diagnostics tool for pathologists, powered by artificial intelligence (AI), was unveiled by Singapore-based health-tech business Qritive. QAi Prostate can precisely identify prostatic adenocarcinoma regions and classify malignant and benign tumor areas in biopsy tissue samples using cutting-edge machine learning (ML) algorithms.

Regional Analysis:

The region-wise coverage of the market is mentioned in the report, mainly focusing on the regions:

North America (NA) - US, Canada, and Mexico

Europe (EU) - UK, Germany, France, Italy, Russia, Spain & Rest of Europe

Asia-Pacific (APAC) - China, India, Japan, South Korea, Australia & Rest of APAC

Latin America (LA) - Brazil, Argentina, Peru, Chile & Rest of Latin America

The Middle East and Africa (MEA) - Saudi Arabia, UAE, Israel, South Africa

North America Dominates the Global Market

North America is the most significant global artificial intelligence in diagnostics market shareholder and is estimated to exhibit a CAGR of 32.5% over the forecast period. The presence of a well-established healthcare IT infrastructure, ongoing technological improvements, rising digital literacy, the creation of startups, supportive government initiatives, expanding funding opportunities, and significant players in the region were all credited with this expansion. In addition, the use of AI in diagnostics is accelerating due to the growing need for lowering testing costs, enhancing patient care, and decreasing machine downtime. According to Health IT Analytics, Case Western Reserve University researchers used a deep learning network, a type of AI, in May 2017 to correctly identify breast cancer in pathology photographs.

Europe is estimated to exhibit a CAGR of 32.2% over the forecast period. Due to several important reasons, including rising expenses, an aging population, rising prevalence of chronic illnesses, rising treatment demand, and a stagnant or declining healthcare workforce, the sustainability of the European healthcare sector is in danger. Additionally, structural inefficiencies in some European nations are a problem for the sector. The shift to value-based healthcare is anticipated to increase the need for improved patient outcomes at a more manageable price. In addition, AI integration into cutting-edge medical technologies can solve urgent healthcare problems.

Furthermore, many healthcare AI applications are in use or being deployed. These applications can help detect diseases early, improve diagnostics, discover new human physiology patterns, and create personalized diagnoses and treatments. For instance, in 2018, the GDPR created requirements for collecting, processing and securing personal data in healthcare organizations. This rule covers genetic, biometric, and health-related data. Similarly, in April 2019, the EU issued healthcare recommendations on moral AI for enterprises and governments. Privacy and Data Governance, Transparency, Technical Robustness and Safety, Non-discrimination, Diversity and Fairness, Accountability, Human Agency and Oversight, and Environmental and Societal well-being are the seven AI requirements. Such factors are anticipated to propel market growth over the forecast period.

Asia-Pacific is anticipated to register significant growth over the forecast period. AI-based diagnostics solutions are growing due to public and private initiatives. Startups, visibility, and investment boost regional industry growth. Private finance and startup incubators also affect regional market growth. Acute and chronic illnesses and an aging population are expected to boost market growth. In addition, the growing patient pool, pandemic, cloud computing, and government AI programs are expected to drive the Asia-Pacific market. AI is also used in diagnostics and by biopharmaceutical companies to modernize medication research. For instance, in 2017, Tencent launched AI Medical Innovation System (AIMIS), an AI-driven diagnostics medical imaging facility. The first lung and esophageal cancer diagnoses were 90% and 95% accurate, respectively.

Market Segment Analysis:

The Artificial Intelligence (AI) in Diagnostics Market Report provides a preliminary review of the industry, definitions, classifications, and enterprise chain shape. Market analysis is furnished for the worldwide markets which include improvement tendencies, hostile view evaluation, and key regions development. Development policies and plans are discussed, and manufacturing strategies and fee systems are also analyzed.

Artificial Intelligence (AI) in Diagnostics Market Segmentation by Types:

Software

Hardware

Artificial Intelligence (AI) in Diagnostics Market Segmentation by Applications:

Hospitals

Ambulatory Surgical Centers

Diagnostic Centers

Others

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Significant Features and Key Highlights of the Artificial Intelligence (AI) in Diagnostics Market Reports:

- Detailed overview of The Artificial Intelligence (AI) in Diagnostics market.

- Changing market dynamics of the industry.

- In-depth market breakdown by Type, Application, etc.

- Historic, existing, and predictable market size in terms of extent and worth.

- Recent manufacturing trends and developments.

- Competitive landscape of The Artificial Intelligence (AI) in Diagnostics market.

- Approaches to significant performers and product help.

- Prospective and niche sectors/regions exhibiting promising growth.

Detailed TOC of Artificial Intelligence (AI) in Diagnostics Market Research Report 2023 - 2029

Chapter 1 Artificial Intelligence (AI) in Diagnostics Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers and, Market data

Chapter 4 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 5 Global Production, Revenue (Value), Price Trend by Type and Region

Chapter 6 Global Market Analysis by Application

Chapter 7 Manufacturing Cost and, Gross profit Analysis

Chapter 8 Industrial Chain, Sourcing Strategy, and Downstream Buyers

Chapter 9 Marketing Strategy and, Status Analysis, Distributors/Traders

Chapter 10 Market Driving Effect Factors Analysis

Chapter 11 Global Artificial Intelligence (AI) in Diagnostics Market Trends and, Forecast

Chapter 12 Research Methodology

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COVID-19 and Russia-Ukraine War Influence Analysis

The readers in the section will recognize how the Artificial Intelligence (AI) in Diagnostics market scenario changed across the globe during the pandemic, post-pandemic, and Russia-Ukraine War. The study is done keeping in view the changes in aspects such as demand, consumption, transference, consumer behavior, supply chain management, export and import, and production. The industry experts have also highlighted the key factors that will help create opportunities for players and stabilize the overall industry in the years to come. These factors negatively affected the market during the war."

The Artificial Intelligence (AI) in Diagnostics Market report gives answers to the following:

What guidelines are followed by key performers to contest this Covid-19 condition?
What are the important matters drivers, opportunities, challenges, and dangers of the market?
will face surviving?
Which are the essential market players in the Artificial Intelligence (AI) in Diagnostics industry?
What is the forecast compound annual growth rate (CAGR) of the global market for the duration of the forecast period (2023-2029)?
What could be the anticipated value of the Artificial Intelligence (AI) in Diagnostics marketplace during the forecast period?

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