#North America Artificial Intelligence (AI) in Drug Discovery Market scope | Explore Tumblr posts and blogs

health-views-updates · 9 days ago

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Forecasting Molecular Modeling Market Growth, Size & Revenue 2024-2032

The Molecular Modeling Market is witnessing rapid growth, driven by advancements in technology and an increasing demand across various industries, including pharmaceuticals, biotechnology, and chemical manufacturing. According to recent reports, the global market for molecular modeling is expected to experience substantial expansion, with projections indicating a significant rise in market revenue over the coming years. Molecular Modeling Market Revenue is expected to increase as companies leverage this technology for applications in drug discovery, material science, and chemical analysis, among others.

The rise in the demand for computational chemistry and molecular simulations is a primary factor driving the growth of the molecular modeling market. As pharmaceutical companies increasingly rely on molecular modeling to develop new drugs and materials, the need for accurate molecular simulations continues to grow. This demand is complemented by advancements in artificial intelligence (AI) and machine learning (ML), which have significantly improved the efficiency of molecular design and simulation processes.

Molecular modeling involves using computer-based techniques to predict the structure, properties, and behavior of molecules. With applications across drug design, material science, and environmental science, molecular modeling tools assist researchers in making predictions about molecular interactions, reactions, and properties without the need for expensive and time-consuming experiments. In pharmaceutical industries, for instance, molecular modeling plays a key role in simulating the interaction between drug molecules and biological targets, enabling more effective drug design processes.

In addition to its prominence in drug discovery, molecular modeling is also gaining traction in industries such as materials science, where it aids in the development of new materials with desirable properties, including polymers, coatings, and even advanced semiconductors. This sector’s growth further complements the expanding scope of the molecular modeling market, which is expected to see significant investment from key industry players in the coming years. The growing demand for automation in molecular simulations is also anticipated to contribute significantly to market growth, offering promising opportunities for both established and emerging players.

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The increasing focus on sustainability and the development of eco-friendly solutions has further boosted the demand for molecular modeling in the chemical and materials industries. Molecular modeling techniques enable the design of greener chemical processes, less harmful materials, and sustainable solutions that address the growing global emphasis on environmental concerns. Additionally, the integration of molecular modeling with big data analytics is expected to improve the overall accuracy and efficiency of molecular simulations, thereby increasing the market value.

The market is also being shaped by the growing number of collaborations between academic institutions, research organizations, and private industry players. These collaborations are aimed at accelerating the development of new molecular modeling tools and techniques, enhancing the accuracy of simulations, and pushing the boundaries of what molecular modeling can achieve. As a result, the molecular modeling market is poised for continuous evolution, as new research breakthroughs and technological advancements unlock further opportunities.

Geographically, North America currently holds the largest share of the molecular modeling market, followed by Europe and the Asia-Pacific region. The presence of leading pharmaceutical and biotechnology companies, as well as robust research and development activities, contributes significantly to the dominance of North America in the global market. However, the Asia-Pacific region is expected to witness the fastest growth rate, owing to increasing investments in R&D, the expansion of pharmaceutical and biotechnology sectors, and growing demand for molecular simulation tools in emerging economies such as China and India.

Market leaders in the molecular modeling space are continuously investing in the development of new solutions that cater to the evolving needs of industries such as healthcare, chemicals, and materials science. These innovations, along with advancements in computational power and software capabilities, are set to further enhance the growth prospects of the molecular modeling market.

Overall, the molecular modeling market is on track for substantial growth, with increasing applications in a range of industries and the continuous development of new technologies. Companies involved in this market must remain agile and forward-thinking to leverage emerging trends such as AI, machine learning, and sustainable solutions to maintain a competitive edge.

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wellnessweb · 5 months ago

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Artificial Intelligence Revolutionizes Genomics: Unveiling Market Size Insights

The Artificial Intelligence in Genomics Market Size was valued at USD 726.9 million in 2023 and is expected to reach USD 15007.1 million by 2031, and grow at a CAGR of 46.0% over the forecast period 2024-2031.The intersection of Artificial Intelligence (AI) and genomics is transforming the landscape of healthcare and biological research. In the burgeoning AI in genomics market, advanced algorithms are revolutionizing how genetic data is analyzed, interpreted, and applied. These technologies enable researchers to swiftly uncover correlations between genetic variations and diseases, accelerating the development of personalized medicine. AI's ability to process vast amounts of genomic data with precision offers unprecedented insights into complex biological mechanisms, promising breakthroughs in disease prevention, diagnosis, and treatment. As the demand for tailored healthcare solutions grows, AI in genomics stands poised to reshape the future of medicine, offering hope for more effective treatments and improved patient outcomes.

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Market Scope & Overview

Potential customers, sales and competitive environment studies, planned product releases, existing and novel technological advancements, revenue and trade regulatory evaluations, and more are all covered by the Artificial Intelligence in Genomics Market research. The purpose of the study is to give participants a chance to comprehend the most recent trends, the state of the market, and market-related technology.

As per the market research there are new and quickly growing market segments, geographical areas, market drivers, challenges, and opportunities in the global Artificial Intelligence in Genomics industry. The research report covers significant market strategies, long-term objectives, increasing market share, and product portfolios of top companies. Additionally, it helps venture capitalists make wise decisions by helping them comprehend organizations better.

Market Segmentation Analysis

By Component

Hardware

Software

Services

Artificial-Intelligence-in-Genomics-Market-By-Component

By Technology

Machine Learning

Deep Learning

Supervised Learning

Unsupervised Learning

Others

Computer Vision

By Functionality

Genome Sequencing

Gene Editing

Others

By Application

Drug Discovery & Development

Precision Medicin

Diagnostics

Others

Russia-Ukraine Conflict Impact on Artificial Intelligence in Genomics Market

The market research demonstrates how the conflict between Russia and Ukraine has impacted markets around the globe. Additionally, it provides guidance to market participants on how to create practical solutions to lessen the negative effects of such contradictory circumstances.

Regional Outlook

The latest market study examines a wider range of topics and looks at the situations and events that are most likely to have a lasting impact. These elements, also referred to as market dynamics, include the pressures, constraints, choices, and issues that shape how those elements are viewed. The main geographical areas covered by the Artificial Intelligence in Genomics Market research report are North America, Latin America, Asia Pacific, Europe, the Middle East, and Africa.

Competitive Analysis

The global market research report's section on competition analysis examines a few key players in the Artificial Intelligence in Genomics Market Market. The research report also covers supply-chain analysis, market expansion strategies, a PEST analysis, a Porter's Five Forces analysis, and market-like scenarios.

Major Questions Answered in Artificial Intelligence in Genomics Market Market Report

What production values, outputs, and capabilities can be anticipated for the global industry?

What entry strategy, cost-cutting measures, and distribution plans should the market have?

What impact has the conflict between Russia and Ukraine had on the target audience?

Conclusion

Understanding the information contained in the Artificial Intelligence in Genomics Market research report is necessary in order to grasp the current state and potential futures of the industry.

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When you employ our services, you will collaborate with qualified and experienced staff. We believe it is crucial to collaborate with our clients to ensure that each project is customized to meet their demands. Nobody knows your customers or community better than you do. Therefore, our team needs to ask the correct questions that appeal to your audience in order to collect the best information.

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delvenservices · 8 months ago

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Pathology AI Market is Booming Worldwide by 2030

Pathology AI (Artificial Intelligence) Market research report provides an analytical measurement of the main challenges faced by the business currently and in the upcoming years. This Pathology AI Market report also offers a profound overview of product specification, technology, product type and production analysis by taking into account most important factors such as revenue, cost, and gross margin. Proficient capabilities and excellent resources in research, data collection, development, consulting, evaluation, compliance and regulatory services come together to generate this world-class market research report. This Pathology AI (Artificial Intelligence) Market report is especially designed by keeping in mind the customer requirements which will ultimately assist them in boosting their return on investment (ROI).

Pathology AI (Artificial Intelligence) Market Competitive Landscape:

General Electric Co. (GE Healthcare)

Koninklijke Philips N.V

F. Hoffmann-La Roche Ltd

Hologic, Inc

Akoya Biosciences, Inc

Aiforia

Indica Labs Inc

OptraScan

Ibex Medical Analytics Ltd.

Mindpeak GmbH

Tribun Health

Siemens Healthineers

Zebra Medical Vision, Inc.

Riverain Technologies

IDx Technologies Inc.

NovaSignal Corporation

Vuno, Inc.

Aidoc

Neural Analytics

Imagen Technologies

Digital Diagnostics, Inc.

GE Healthcare

AliveCor Inc.

Proscia Inc

PathAl, Inc.

Tempus Labs, Inc.

Pathology AI (Artificial Intelligence) Market, by Component (Software, Services), Neural network (CNN, GAN, RNN), Application (Drug Discovery, Diagnosis, Prognosis, Workflow, Education), End User (Pharma, Biotech, Hospital Labs, Research) and region (North America, Europe, Asia-Pacific, Middle East and Africa and South America). The global Pathology AI (Artificial Intelligence) market size was estimated at USD 23.4 million in 2023 and is projected to reach USD 66.53 billion in 2030 at a CAGR of 16.1% during the forecast period 2023–2030.

Pathology AI (Artificial Intelligence) Market analysis report figures out market landscape, brand awareness, latest trends, possible future issues, industry trends and customer behaviour so that the business can stand high in the crowd. It includes an extensive research on the current conditions of the industry, potential of the market in the present and the future prospects from various angles. This market report comprises of data that can be pretty essential when it comes to dominating the market or making a mark in the Pharmaceutical industry as a new emergent. To bestow clients with the best results, Pathology AI Market research document is produced by using integrated approaches and latest technology.

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Scope of the Pathology AI (Artificial Intelligence) Market Report:

The Pathology AI (Artificial Intelligence) Market is segmented into various segments such as component, neural network, application, end user and region:

Based on component

Software

Scanners

Based on the Neural network

CNN

GAN

RNN

Based on the Application

Drug Discovery

Diagnosis

Prognosis

Workflow

Education

Based on End User

Pharma

Biotech

Hospital Labs

Research

Based on region

Asia Pacific

North America

Europe

South America

Middle East & Africa

Pathology AI (Artificial Intelligence) Market Regional Analysis:

North America to Dominate the Market

North America is estimated to account for the largest market share during the forecast period. In North America, there is growing investments and reforms to modernize the pathology infrastructure in the region and the increasing adoption of digital pathology solutions.

Moreover, the expansion of healthcare infrastructure and growing market availability of advanced AI technologies.

Pathology AI (Artificial Intelligence) Market Reasons to Acquire:

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Gain authentic and granular data access for the Pathology AI (Artificial Intelligence) Market to understand the trends and the factors involved in changing market situations.

Qualitative and quantitative data utilization to discover arrays of future growth from the market trends of leaders to market visionaries and then recognize the significant areas to compete in the future.

In-depth analysis of the changing trends of the market by visualizing the historic and forecast year growth patterns.

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infofeasting · 2 years ago

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Explainable AI (XAI) Market by Global Demand and Top Players 2023-2030

In this report, key players, market shares, market sizes, growth drivers, and company profiles are analyzed in-depth. A comprehensive analysis of the global Explainable AI (XAI) market's growth, trends, demand, and recent changes is provided in this research report.

Additionally, the report highlights product launches, market expansion, strategic growth analysis, market potential analysis, and technological advances. The study reveals market size, prospective expansion, trends, and the expansion plans of leading competitors.

This report provides valuable insights into the competition's positioning, current market scope, market potential, and growth rates.

The global explainable AI (XAI) market is booming, with a number of providers entering the field. In this report, we provide an in-depth analysis of the leading players and their strategies for maintaining a strong foothold in this rapidly growing industry. Through our research, you’ll gain valuable insights on how these market leaders maintain dominance and grow their customer base to take a majority share of the global explainable AI (XAI) market.

Explainable AI is an emerging market with a variety of players in the industry, from major tech companies to smaller startups.Strategies employed by these players include mergers and acquisitions, joint ventures and partnerships, as well as technology innovation.

Several key companies that operate in this space include;

DataRobot, Factmata, DarwinAI, IBM Corporation, Google LLC, Microsoft Corporation, and Ditto.ai., amongst others.

The pandemic has had far-reaching implications for the explainable AI (XAI) market. The study takes into account factors such as demand, consumption, transportation, consumer behaviour, supply chain management, exports and imports, and manufacturing in order to assess how the COVID crisis has influenced this field. Additionally, important elements have been identified that can enable companies to spot opportunities and ensure greater stability going forward.

A neutral viewpoint on market performance, recent industry trends and developments, the competitive landscape and the key players' strategies, potential and niche segments, and geographical regions contributing to the emergence of promising growth are some of the main advantages discussed in this study report.

The report also provides historical, current, and future sizes of the market. An in-depth analysis of the explainable AI (XAI) market and a geographic forecast are included in the same.

By offering, the global explainable AI (XAI) market can be divided into:

Solutions

Services

The global explainable AI (XAI) market can be segmented on the basis of applications into:

Fraud Detection

Drug Discovery

Predictive Maintenance

Social Media Advertising

Identity & Access Management

Recommendation Engines

Supply Chain Management

Others

The global explainable AI (XAI) market is segmented according to region as follows:

North America

U.S.

Canada

Mexico

Europe

Germany

France

Italy

Rest of Europe

Asia-Pacific

China

India

Japan

Australia

Rest of Asia-Pacific

RoW

UAE

Saudi Arabia

South Africa

Brazil

Remaining Countries

In the latest study, all of the critical features of the global explainable AI (XAI) industry have been thoroughly investigated. It covers everything from a macro-level market overview to a micro-level analysis of market size, competition, development trends, niche markets, important market drivers and challenges, SWOT analysis, Porter's five force analysis, value chain analysis, etc.

The Explainable AI (XAI) market is expected to grow significantly over the forecast period. This growth is fueled by increasing demand for more efficient decision-making and greater transparency in Artificial Intelligence (AI) systems. Additionally, government initiatives, regulations, investments, and research activities globally have further aided the growth of XAI. As these systems become more complex with advanced technology usage, the need for solutions that ensure explainable results is beneficial to the industry. By segmenting this market into types, end-users, applications, and regions it can be better analysed and further growth can be encouraged.

It is important for the decision-maker to have a thorough understanding of the market segments so as to be able to target products, sales, and marketing strategies accordingly. Product development can be advanced by guiding businesses on how to develop product offerings for various market segments.

This market research report contains statistics, tables, and graphs that can be used by key stakeholders to develop plans to support the company's success. This report includes an in-depth analysis of the explainable AI (XAI) market for each of the major geographic regions, including North America, Asia-Pacific, Latin America, the Middle East, and Africa.

Several global regions are examined in the global explainable AI (XAI) report in order to understand global market dynamics.

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Next Move Strategy Consulting is an independent and trusted third-platform market intelligence provider, committed to deliver high quality, market research reports that help multinational companies to triumph over their competitions and increase industry footprint by capturing greater market share. Our research model is a unique collaboration of primary research, secondary research, data mining and data analytics.

We have been servicing over 1000 customers globally that includes 90% of the Fortune 500 companies over a decade. Our analysts are constantly tracking various high growth markets and identifying hidden opportunities in each sector or the industry. We provide one of the industry’s best quality syndicates as well as custom research reports across 10 different industry verticals. We are committed to deliver high quality research solutions in accordance to your business needs. Our industry standard delivery solution that ranges from the pre consultation to after-sales services, provide an excellent client experience and ensure right strategic decision making for businesses.

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market-research-future-pruthvi · 2 years ago

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Healthcare Artificial Intelligence (AI) Market Size, Share and Trends forecast to 2027 | MRFR

Healthcare Artificial Intelligence (AI) Market Overview:

The advent of artificial intelligence (AI) will be responsible for transforming the way world works in the coming years. Its inclusion in the healthcare is a fast-approaching reality that may potentially revolutionize the sector. Currently, the healthcare sector is experiencing immense pressure to meet changing patient needs, however, the use of healthcare artificial intelligence is expected to improve outcomes while reducing costs.

Market Research Future’s (MRFR) report on the healthcare artificial intelligence market provides a comprehensive understanding of the developing trends and insights for this market. The report also includes detailed information about relevant market segments as well as key strategies used by key players of the market. The Controversy surrounding AI and a lack of precise regulations may restrict growth, however, due to the under developed nature of the market and immense scope the impact of the aforementioned restraints is expected to be minimal.

MRFR has identified several growth patterns that will drive the healthcare AI market. A growing demand & adoption of precision medicine, automated diagnosis using pattern recognition and advancements in robotic surgery are some identified key facilitators of growth. There is also a wider acceptance of use of machines and relevant technology to help deliver medical care.

The competitive landscape for this market is expected to be diverse with many small players using venture funding to develop proprietary technology. Additionally, tech start-ups are projected to compete directly with major players due to the low cost of scaling developed technology.

Healthcare Artificial Intelligence (AI) Market Segmentation:

Segmental evaluation of the global healthcare artificial intelligence market is conducted on the basis of type, technology, application, end user and region.

On the basis of type, the market is segmented into hardware, software and services.

On the basis of technology, the market is segmented into language & image processing, pattern awareness, context awareness, querying, deep learning and others

On the basis of application the market is segmented into robot assisted surgery, workflow assistance, prognosis & treatment assistance, financial & risk management, clinical trials, diagnosis, cyber security, drug discovery, artificial intelligence in medicine inc and others.

On the basis of end users, the market is segmented into providers, payers, marketing, pharmaceutical & biotech companies and others.

On the basis of region, the market is segmented into North America, Europe, Asia Pacific (APAC), Middle East & Africa (MEA) and the Rest of the World (ROW).

Major key Players:

The report identifies and analyses extensive information about key players and the strategies they use so as to provide market insights and a clear understanding of the current market scenario.

DEEP GENOMICS

Next IT Corp

General Vision

Google

NVIDIA Corporation

IBM Watson Health

Intel Corporation

Koninklijke Philips N.V

GENERAL ELECTRIC

Stryker

Microsoft Corporation

CloudMedx Inc

Healthcare Artificial Intelligence (AI) Market Geographical Analysis:

North America currently leads the healthcare artificial intelligence market, primarily due to the presence of key global players in the market. The U.S. is expected to be at the forefront of market growth owing to the substantial buying power the country possesses, an increasing number of cross-industry collaborations as well as a developing focus on precision medicine. Additionally, a faster adoption of current technology in this region is also expected to fuel growth during the forecast period.

Europe, another region with substantial buying power follows North America closely in terms of market share and growth pattern. Countries such as France, Germany and the U.K. are expected to facilitate growth in this segment.

Asia Pacific is expected to see considerable growth during the forecast period. China and India are expected to grow at a fast pace owing to increasing healthcare expenditure and a strong technological presence in the global market. Japan is projected to make significant contributions to the healthcare artificial intelligence market. A leader in technological development, Japan is also gaining momentum in its emerging research and development in the healthcare sector.

The Middle East and Africa region will likely see restricted growth. Middle Eastern countries such as the U.A.E and Saudi Arabia are expected to drive growth in this region. The primary reasons for this are a strong, positive attitude toward artificial intelligence adoption and the emergence of numerous tech startups in the Middle Eastern region. Meanwhile, the presence of under developed and poverty stricken African countries indicates poor growth opportunities for part of the MEA region.

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At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), & Consulting Services. MRFR team have supreme objective to provide the optimum quality market research and intelligence services to our clients.

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#Healthcare Artificial Intelligence (AI) Market Size Healthcare Artificial Intelligence (AI) Market Share Healthcare Artificial Intelligence

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mastergarryblogs · 2 years ago

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Artificial Intelligence (AI) in Healthcare Market Supply, Sales, Revenue and Forecast 2022-2030

The global artificial intelligence (AI) in healthcare market size is expected to reach over USD 40.2 billion by 2026 growing at a sound CAGR of over 49.7% during 2019-2026.

The global Artificial Intelligence (AI) in Healthcare Market research report is inclusive of detailed and productive qualitative and quantitative information, for the historic period, base year, and the forecast period, which can benefit the user for taking the appropriate decision on the basis of market knowledge, as well as for gathering valuable information for further estimations. Download FREE SAMPLE PDF (Including Full TOC, Table & Figures) @ https://www.acumenresearchandconsulting.com/request-sample/227

The detailed information of the global Artificial Intelligence (AI) in Healthcare Market about the driving factors, development strategies such as new product development, mergers and acquisition, and partnerships & collaboration, recent trends, as well as challenges and opportunities are incorporated for a more extensive understanding of the market potential.

Moreover, the global market is finely segmented and on the basis of geography segmented across North America (US and Canada), Europe (UK, Germany, France, Spain and Rest of Europe), Asia-Pacific (China, Japan, India, Australia, South Korea, and Rest of Asia Pacific), Latin America (Brazil, Mexico, and Rest of Latin America), Middle East and Africa (GCC, South Africa, and Rest of Middle East & Africa). And the regions are further studied across the respective major countries including detailed current trends and available opportunities in the respective market. Segmentation

AI in healthcare Market By Application

Imaging Diagnostics Drug Discovery Lifestyle Management & Monitoring Emergency Room and Hospital Management Wearables Insights & Risk Analytics Virtual Assistance Insurance

AI in healthcare Market By Technology

Speech Recognition Natural Language Processing Machine Learning Deep Learning Others

AI in healthcare Market By End User

Hospitals Pharmaceutical Organizations Diagnostic Centers Clinics Other Global Artificial Intelligence (AI) in Healthcare Market : Competitive Landscape

Along with this, the research report encompasses comprehensive information of market leaders that majorly include a business overview, financial overview, product offerings, strategic developments, and geographical presence. The profiled players are collaboratively analyzed for digging out the market scenarios in a more competitive manner.

Essentially, it’s a well-compiled solution for the industry players, managers, researchers, strategists, consultants, education organizations, students, and start-ups. They can get the required information in an easy and understandable format for the required task and will be able to interpret in almost no time and able to saves time. Moreover, in case of further customization or addition required in the report scope, our team is able to provide for meeting the expectations of users. Who are the key players in the market? The key players operating in Artificial Intelligence (AI) in Healthcare Market such as Key Players:

The key players in the market are: Microsoft, IBM, Johnson & Johnson Services, Inc., Oncora, Koninklijke Philips N.V, Siemens, GE Healthcare, Medtronic, Google, Amazon, Intel, CareSkore, CloudMedx Inc., Clarify Health Solutions, Zebra Medical Vision Ltd., Qventus Inc., NextHealth Technologies, Anju Software Inc. (Zephyr Health) among other Overview of the Impact of COVID-19 on Artificial Intelligence (AI) in Healthcare Market : The development of COVID-19 has carried the world to a stop. We comprehend that this health emergency has brought an unprecedented effect on businesses across ventures. However, this also will pass. Rising help from governments and a few organizations can help in the battle against this profoundly infectious sickness. There are a few industries that are battling and some are flourishing. In general, pretty much every segment is foreseen to be affected by the pandemic. We are making persistent efforts to enable your business to continue and develop during COVID-19 pandemics. Based on our experience and expertise, we will offer you an impact analysis of coronavirus outbreak across ventures to assist you to prepare for the future. In a nutshell, the global Artificial Intelligence (AI) in Healthcare Market research report encompasses the desired information in terms of both quality and quantity with the respective market. The collection of information is completely based on the authorized sources and compiled by the experts and research analysts with years of experience in the respective industry vertical.

Inquiry Before Buy Report @ https://www.acumenresearchandconsulting.com/inquiry-before-buying/227 Few Significant Points From Table Of Content:

CHAPTER 1. INDUSTRY OVERVIEW

1.1. Definition and Scope 1.1.1. Definition of Artificial Intelligence (AI) in Healthcare 1.1.2. Market Segmentation 1.1.3. List of Abbreviations 1.2. Summary 1.2.1. Market Snapshot 1.2.2. Artificial Intelligence (AI) in Healthcare Market By Application 1.2.2.1. Global Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate Comparison By Application (2015-2026) 1.2.2.2. Global Artificial Intelligence (AI) in Healthcare Market Revenue Share By Application in 2017 1.2.2.3. Imaging Diagnostics 1.2.2.4. Drug Discovery 1.2.2.5. Lifestyle Management & Monitoring 1.2.2.6. Emergency Room and Hospital Management 1.2.2.7. Wearables 1.2.2.8. Insights & Risk Analytics 1.2.2.9. Virtual Assistance 1.2.2.10. Insurance 1.2.3. Artificial Intelligence (AI) in Healthcare Market By Technology 1.2.3.1. Global Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate Comparison By Technology (2015-2026) 1.2.3.2. Speech Recognition 1.2.3.3. Natural Language Processing 1.2.3.4. Machine Learning 1.2.3.5. Deep Learning 1.2.3.6. Others 1.2.4. Artificial Intelligence (AI) in Healthcare Market By End User 1.2.4.1. Global Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate Comparison By End User (2015-2026) 1.2.4.2. Hospitals 1.2.4.3. Pharmaceutical Organizations 1.2.4.4. Diagnostic Centers 1.2.4.5. Clinics 1.2.4.6. Other 1.2.5. Artificial Intelligence (AI) in Healthcare Market by Geography 1.2.5.1. Global Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate Comparison by Geography (2015-2026) 1.2.5.2. North America Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate (2015-2026) 1.2.5.3. Europe Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate (2015-2026) 1.2.5.4. Asia-Pacific Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate (2015-2026) 1.2.5.5. Latin America Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate (2015-2026) 1.2.5.6. Middle East and Africa (MEA) Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate (2015-2026)

CHAPTER 2. MARKET DYNAMICS AND COMPETITION ANALYSIS

2.1. Market Drivers 2.2. Restraints and Challenges 2.3. Growth Opportunities 2.4. Porter’s Five Forces Analysis 2.4.1. Bargaining Power of Suppliers 2.4.2. Bargaining Power of Buyers 2.4.3. Threat of Substitute 2.4.4. Threat of New Entrants 2.4.5. Degree of Competition 2.5. Value Chain Analysis 2.6. Cost Structure Analysis 2.6.1. Raw Material and Suppliers 2.6.2. Manufacturing Process Analysis 2.7. Regulatory Compliance 2.8. Competitive Landscape, 2017 2.8.1. Player Positioning Analysis 2.8.2. Key Strategies Adopted By Leading Players

CHAPTER 3. MANUFACTURING PLANTS ANALYSIS

3.1. Capacity and Commercial Production Date of Global Artificial Intelligence (AI) in Healthcare Major Manufacturers in 2017 3.2. Manufacturing Plants Distribution of Global Artificial Intelligence (AI) in Healthcare Major Manufacturers in 2017 3.3. R&D Status and Technology Application of Global Artificial Intelligence (AI) in Healthcare Major Manufacturers in 2017 3.4. Raw Materials Sources Analysis of Global Artificial Intelligence (AI) in Healthcare Major Manufacturers in 2017

CHAPTER 4. ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY APPLICATION

4.1. Global Artificial Intelligence (AI) in Healthcare Revenue By Application 4.2. Imaging Diagnostics 4.2.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 4.2.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million) 4.3. Drug Discovery 4.3.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 4.3.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million) 4.4. Lifestyle Management & Monitoring 4.4.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 4.4.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million) 4.5. Emergency Room and Hospital Management 4.5.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 4.5.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million) 4.6. Wearables 4.6.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 4.6.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million) 4.7. Insights & Risk Analytics 4.7.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 4.7.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million) 4.8. Virtual Assistance 4.8.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 4.8.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million) 4.9. Insurance 4.9.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 4.9.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)

CHAPTER 5. ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY TECHNOLOGY

5.1. Global Artificial Intelligence (AI) in Healthcare Revenue By Technology 5.2. Speech Recognition 5.2.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 5.2.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million) 5.3. Natural Language Processing 5.3.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 5.3.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million) 5.4. Machine Learning 5.4.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 5.4.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million) 5.5. Deep Learning 5.5.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 5.5.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million) 5.6. Others 5.6.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 5.6.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)

CHAPTER 6. ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY END USER

6.1. Global Artificial Intelligence (AI) in Healthcare Revenue By End User 6.2. Hospitals 6.2.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 6.2.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million) 6.3. Pharmaceutical Organizations 6.3.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 6.3.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million) 6.4. Diagnostic Centers 6.4.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 6.4.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million) 6.5. Clinics 6.5.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 6.5.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million) 6.6. Other 6.6.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million) 6.6.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)

CHAPTER 7. NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY COUNTRY

7.1. North America Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate, 2015 - 2026 ($Million) 7.2. North America Artificial Intelligence (AI) in Healthcare Market Revenue Share Comparison, 2015 & 2026 (%) 7.3. U.S. 7.3.1. U.S. Artificial Intelligence (AI) in Healthcare Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 7.3.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 7.3.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 7.4. Canada 7.4.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 7.4.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 7.4.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 7.5. Mexico 7.5.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 7.5.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 7.5.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million)

CHAPTER 8. EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY COUNTRY

8.1. Europe Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate, 2015 - 2026 ($Million) 8.2. Europe Artificial Intelligence (AI) in Healthcare Market Revenue Share Comparison, 2015 & 2026 (%) 8.3. UK 8.3.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 8.3.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 8.3.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 8.4. Germany 8.4.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 8.4.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 8.4.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 8.5. France 8.5.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 8.5.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 8.5.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 8.6. Spain 8.6.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 8.6.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 8.6.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 8.7. Rest of Europe 8.7.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 8.7.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 8.7.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million)

CHAPTER 9. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY COUNTRY

9.1. Asia-Pacific Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate, 2015 - 2026 ($Million) 9.2. Asia-Pacific Artificial Intelligence (AI) in Healthcare Market Revenue Share Comparison, 2015 & 2026 (%) 9.3. China 9.3.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 9.3.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 9.3.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 9.4. Japan 9.4.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 9.4.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 9.4.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 9.5. India 9.5.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 9.5.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 9.5.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 9.6. Australia 9.6.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 9.6.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 9.6.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 9.7. South Korea 9.7.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 9.7.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 9.7.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 9.8. Rest of Asia-Pacific 9.8.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 9.8.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 9.8.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million)

CHAPTER 10. LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY COUNTRY

10.1. Latin America Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate, 2015 - 2026 ($Million) 10.2. Latin America Artificial Intelligence (AI) in Healthcare Market Revenue Share Comparison, 2015 & 2026 (%) 10.3. Brazil 10.3.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 10.3.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 10.3.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 10.4. Argentina 10.4.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 10.4.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 10.4.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 10.5. Rest of Latin America 10.5.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 10.5.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 10.5.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million)

CHAPTER 11. MIDDLE EAST ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY COUNTRY

11.1. Middle East Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate, 2015 - 2026 ($Million) 11.2. Middle East Artificial Intelligence (AI) in Healthcare Market Revenue Share Comparison, 2015 & 2026 (%) 11.3. Saudi Arabia 11.3.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 11.3.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 11.3.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 11.4. UAE 11.4.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 11.4.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 11.4.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 11.5. Rest of Middle East 11.5.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 11.5.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 11.5.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million)

CHAPTER 12. AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY COUNTRY

12.1. Africa Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate, 2015 - 2026 ($Million) 12.2. Africa Artificial Intelligence (AI) in Healthcare Market Revenue Share Comparison, 2015 & 2026 (%) 12.3. South Africa 12.3.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 12.3.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 12.3.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 12.4. Egypt 12.4.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 12.4.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 12.4.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million) 12.5. Rest of Africa 12.5.1. Market Revenue and Forecast By Application, 2015 - 2026 ($Million) 12.5.2. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million) 12.5.3. Market Revenue and Forecast By End User, 2015 - 2026 ($Million)

CHAPTER 13. COMPANY PROFILE

13.1. Microsoft 13.1.1. Company Snapshot 13.1.2. Overview 13.1.3. Financial Overview 13.1.4. Type Portfolio 13.1.5. Key Developments 13.1.6. Strategies 13.2. IBM 13.2.1. Company Snapshot 13.2.2. Overview 13.2.3. Financial Overview 13.2.4. Type Portfolio 13.2.5. Key Developments 13.2.6. Strategies 13.3. Johnson & Johnson Services, Inc. 13.3.1. Company Snapshot 13.3.2. Overview 13.3.3. Financial Overview 13.3.4. Type Portfolio 13.3.5. Key Developments 13.3.6. Strategies 13.4. Oncora 13.4.1. Company Snapshot 13.4.2. Overview 13.4.3. Financial Overview 13.4.4. Type Portfolio 13.4.5. Key Developments 13.4.6. Strategies 13.5. Koninklijke Phillips N.V 13.5.1. Company Snapshot 13.5.2. Overview 13.5.3. Financial Overview 13.5.4. Type Portfolio 13.5.5. Key Developments 13.5.6. Strategies 13.6. Siemens 13.6.1. Company Snapshot 13.6.2. Overview 13.6.3. Financial Overview 13.6.4. Type Portfolio 13.6.5. Key Developments 13.6.6. Strategies 13.7. GE Healthcare 13.7.1. Company Snapshot 13.7.2. Overview 13.7.3. Financial Overview 13.7.4. Type Portfolio 13.7.5. Key Developments 13.7.6. Strategies 13.8. Medtronic 13.8.1. Company Snapshot 13.8.2. Overview 13.8.3. Financial Overview 13.8.4. Type Portfolio 13.8.5. Key Developments 13.8.6. Strategies 13.9. Google 13.9.1. Company Snapshot 13.9.2. Overview 13.9.3. Financial Overview 13.9.4. Type Portfolio 13.9.5. Key Developments 13.9.6. Strategies 13.10. Amazon 13.10.1. Company Snapshot 13.10.2. Overview 13.10.3. Financial Overview 13.10.4. Type Portfolio 13.10.5. Key Developments 13.10.6. Strategies 13.11. Intel 13.11.1. Company Snapshot 13.11.2. Overview 13.11.3. Financial Overview 13.11.4. Type Portfolio 13.11.5. Key Developments 13.11.6. Strategies 13.12. CareSkore 13.12.1. Company Snapshot 13.12.2. Overview 13.12.3. Financial Overview 13.12.4. Type Portfolio 13.12.5. Key Developments 13.12.6. Strategies 13.13. CloudMedx Inc. 13.13.1. Company Snapshot 13.13.2. Overview 13.13.3. Financial Overview 13.13.4. Type Portfolio 13.13.5. Key Developments 13.13.6. Strategies 13.14. Clarify Health Solutions 13.14.1. Company Snapshot 13.14.2. Overview 13.14.3. Financial Overview 13.14.4. Type Portfolio 13.14.5. Key Developments 13.14.6. Strategies 13.15. Zebra Medical Vision Ltd. 13.15.1. Company Snapshot 13.15.2. Overview 13.15.3. Financial Overview 13.15.4. Type Portfolio 13.15.5. Key Developments 13.15.6. Strategies 13.16. Qventus Inc. 13.16.1. Company Snapshot 13.16.2. Overview 13.16.3. Financial Overview 13.16.4. Type Portfolio 13.16.5. Key Developments 13.16.6. Strategies 13.17. NextHealth Technologies 13.17.1. Company Snapshot 13.17.2. Overview 13.17.3. Financial Overview 13.17.4. Type Portfolio 13.17.5. Key Developments 13.17.6. Strategies 13.18. Anju Software Inc. (Zephyr Health) 13.18.1. Company Snapshot 13.18.2. Overview 13.18.3. Financial Overview 13.18.4. Type Portfolio 13.18.5. Key Developments 13.18.6. Strategies 13.19. Others 13.19.1. Company Snapshot 13.19.2. Overview 13.19.3. Financial Overview 13.19.4. Type Portfolio 13.19.5. Key Developments 13.19.6. Strategies

CHAPTER 14. RESEARCH APPROACH

14.1. Research Methodology 14.1.1. Initial Data Search 14.1.2. Secondary Research 14.1.3. Primary Research 14.2. Assumptions and Scope

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mrfrblogresearch02 · 3 years ago

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Digital Pathology Market: Industry Trends, Revenue, Growth Rate, Impact Factors and Forecast: 2022-2027

Overview

The growing number of innovations in the areas of pathology would further increase the size of the market to a great deal, in the next six years. According to Market Research Future (MRFR), the global digital pathology market Share is estimated for valuation of over USD 8,305.6 MN. In its recently published analysis, MRFR also asserts that the market would register a double-digit CAGR over 13.04% throughout the forecast period.

Digital Pathology or Computational Pathology leverages completely new perceptions through data analysis, enabling pathologists to consult on treatment options. The rapidly evolving pathology sector is a key element of modern diagnostic practices. There have been several innovations and widespread adoption of digital pathology. It has long been realized that the traditional histopathology is inefficient as it exposes samples to various handlers, increasing the scope for human error.

The digital pathology, on the other hand, eliminates the risk factors, while also providing the pathologist with the necessary images and clinical information to generate the most accurate and complete clinical diagnosis. Hence, pathology centers across the globe are increasingly adopting digital pathology to increase diagnostic speeds and accuracy. This broad uptake is, in turn, helping the market of digital pathology to grow rapidly.

Advantages like speedy diagnosis processes are facilitating treatments, which drive the digital transformation marketing ahead. Additionally, the advanced medical services and the burgeoning healthcare sector worldwide are fostering the growth of the digital pathology market. The demand for fast proceedings of treatments, with an accurate diagnosis, is rising, which results in the growth of the digital pathology market.

The transition to cloud pathology is a prominent trend, observed during the analysis, which is expected to push up the growth in the market. This is due to the cloud-based delivery of solutions, which is cost-effective, take minimal installation time without needing a sophisticated IT infrastructure.

Integration of Artificial Intelligence (AI) technologies into digital pathology is another such trend noticed during MRFR analysis. Investors are ready to invest hugely in start-ups attempting to apply artificial intelligence. Many entrants are getting benefitted with substantial grants. Technology experts think that machine learning and other sophisticated technologies could assist pathologists, making them more precise in their analysis.

AI has the capacity of turning pathology into a digital zone. However, AI experts need to ensure that AI technology can reliably process reams of data, and the software is seamlessly integrated into the workflow of pathologists. Advances in the automation enable pathologists to spend more time on tougher cases, providing them with insights about the issues that human eyes can’t detect.

Global Digital Pathology Market – Segments

By Type: Human Pathology and Animal Pathology.

By Application: mHealth, Telemedicine, Disease Diagnosis, and Drug Discovery, among others.

By End Users: Hospital/Clinics, Pharmaceutical Companies, Reference Laboratories, and Research Institutes, among others.

By-Products: Storage Server Systems, Scanners, and Software, among others.

By Regions: Asia Pacific, Europe, North America, and Rest-of-the-World.

Global Digital Pathology Market – Regional Analysis

North America market leads the global digital pathology market with a significant share. The well-developed healthcare sector in the US & Canada, together with high per capita healthcare expenditures of these economies drive the regional market growth. Moreover, the presence of some of the matured market players fuels growth in the regional market. The market is further expected to create a substantial revenue pocket throughout the forecast period (2017-2027).

The digital pathology market in the European region takes the second lead. The market is predominantly driven by the availability of funds for research, well-developed healthcare infrastructure, digital process automation, huge patient population, and government support for R&D. The UK and Germany, backed by high healthcare expenditures majorly propel the growth of the Europe market.

The Asia Pacific digital pathology is emerging as a promising market globally. Expected to become the fastest-growing market for digital pathology, The APAC region is estimated to grow rapidly over the projected period. Moreover, factors such as the increasing healthcare expenditures along with favorable government policies of developing economies like India and China foster the regional market growth.

Digital Pathology Market - Competitive Analysis

Highly competitive, the digital pathology market appears to be fragmented with the presence of several large and small players. Many well-established players, along with the new entrants, form a competitive landscape. Through strategic initiatives, such as acquisition, expansion, collaboration, and product/technology launch, these players try to gain a competitive advantage in this market. Substantial investments are transpired in R&D to develop a completely different technology compared to their competition.

Major Players:

Players leading the digital pathology market include Danaher Corporation (US), Olympus Corporation (Japan), Inspirata (US), Huron Digital Pathology Inc. (Canada), 3DHISTECH Ltd. (Hungary), Koninklijke Philips N.V. (the Netherlands), Microdimensions GmbH (Germany), F. Hoffmann-La Roche Ltd. (Switzerland), Mikroscan Technologies, Inc. (US), and Definiens (Germany), among others.

Industry/Innovation/Related News:

April 15, 2018 – Google LLC (the US), a multinational technology company, launched a new machine learning tool to boost digital pathology. Traditional pathologists used to take reference of their colleagues and other sources like textbooks to examine the problem. Modern technology enables the computers to skim through thousands of images and retrieve information, which is closest to the query. For example, the reverse image searches option in Google images.

Google’s Machine learning tool is now capable of assisting medical professionals in diagnosing critical cases like diabetic eye disease and metastatic breast cancer. Now, digital pathology is adopted widely. With the help of Google’s machine learning tool, clinicians can examine the data received as images on a computer. Simultaneously, clinicians can also draw insights from it, making the whole process of diagnosis relatively easy.

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#Digital Pathology Market

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industryinsights · 3 years ago

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Digital pathology Market Size, Competitive Landscape, Revenue Analysis To 2028

The growing number of innovations in the areas of pathology would further increase the size of the market to a great deal, in the next six years. According to Market Research Future (MRFR), the global digital pathology market is estimated for valuation of over USD 8,305.6 MN by 2023. In its recently published analysis, MRFR also asserts that the market would register a double-digit CAGR over 13.04% throughout the forecast period (2017-2023).

Request Free Sample Copy at: https://www.marketresearchfuture.com/sample_request/1955

Advantages like speedy diagnosis processes are facilitating treatments, which drive the market ahead. Additionally, the advanced medical services and the burgeoning healthcare sector worldwide are fostering the growth of the digital pathology market. The demand for fast proceedings of treatments, with an accurate diagnosis, is rising, which results in the growth of the digital pathology market.

Global Digital Pathology Market – Segments

By Type: Human Pathology and Animal Pathology.

By Application: mHealth, Telemedicine, Disease Diagnosis, and Drug Discovery, among others.

By End Users: Hospital/Clinics, Pharmaceutical Companies, Reference Laboratories, and Research Institutes, among others.

By-Products: Storage Server Systems, Scanners, and Software, among others.

By Regions: Asia Pacific, Europe, North America, and Rest-of-the-World.

Global Digital Pathology Market – Regional Analysis

The digital pathology market in the European region takes the second lead. The market is predominantly driven by the availability of funds for research, well-developed healthcare infrastructure, huge patient population, and government support for R&D. The UK and Germany, backed by high healthcare expenditures majorly propel the growth of the Europe market.

Digital Pathology Market - Competitive Analysis

Major Players:

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nitishachouhan · 3 years ago

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The Artificial Intelligence in Healthcare Market size was valued at US$ XX Mn in 2018 and is expected to grow at a compound annual growth rate (CAGR) of 51.7% for the forecast period ending 2026 reaching a Market value of US$ 36250 Mn.

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Browse the Artificial Intelligence in Healthcare Market Report and ToC at https://www.alltheresearch.com/report/97/Artificial Intelligence in Healthcare-market

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reportsandddata · 3 years ago

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Surgical Blade Market Global Industry Size, Scope, Competitive Landscape and Growth by Forecast to 2028

A new report on the Surgical Blade Market research study, published by Reports and Data, provides an in-depth survey of the dominant participants of the industry –the basis points for which are the financial highlights, company outline, SWOT Analysis, Product Portfolio, as well as major strategies and the expansion plans of the new and potential contenders. This report is also anticipated to reflect consistent growth in the coming years since consumers are now more aware of product quality. This market analysis of an industry is a crucial factor that numerous stakeholders, such as investors, traders, suppliers, and others, will find beneficial.

Major Players Profiled in the Report:

Swann-Morton Limited, Hill-Rom, PL Medical Co. LLC., VOGT Medical, Hu-Friedy Mfg. Co., LLC, Braun Melsungen AG, Kai Industries Co., Ltd., Beaver-Visitec International, MYCO Medical, Inc., Medicom, Huaiyin Medical Instruments Co., Ltd, Cincinnati Surgical Company Inc., SouthMedic, Surgical Specialties Corporation, Havel\'s Inc.

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Market Overview:

The advent of advanced technologies such as artificial intelligence (AI), additive manufacturing, blockchain, and other disruptive technologies and their rapid integration in pharma processes such as drug discovery and development, vaccine manufacturing, and advancement in clinical trials have significantly contributed to the revenue growth of the industry. Improvement in fraud detection, rapid reduction in medical errors, and improvement of medicines has accelerated the adoption of AI and ML in the pharma industry.

COVID-19 has been a key factor driving the revenue growth of the market as it has increased the demand for medications, hospital facilities, and changed the way the pharma and biotech companies conduct their business. Rising adoption of telemedicine, increasing transparency in supply chain, and growing approvals to medications by regulatory authorities have further impacted the market growth over the recent past. Rapid digitization, increasing adoption of precision medicine, and robotics are expected to impact the manufacturing and distribution of pharmaceuticals over the coming years. Key companies operating in the market are leveraging advanced tech and R&D capabilities to gain a robust footing in the market. The report also offers SWOT analysis and Porter’s Five Forces analysis to offer a better understanding of the competitive landscape along with a detailed analysis of M&A activities, joint ventures, collaborations, and partnerships, among others.

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For this study, Reports and Data has segmented the global market based on different segments as follows.

eports and Data has segmented the global surgical blade market based on material, product type, and end-user as follows.

By Material (Revenue, USD Million, 2018–2028)

Stainless Steel

High-grade Carbon Steel

By Product Type (Revenue, USD Million, 2018–2028)

Sterile

Non-sterile

By End-user (Revenue, USD Million, 2018–2028)

Hospitals

Clinics

Ambulatory Surgical Centers

The key regions assessed in the report are:

• North America (U.S.A., Canada, Mexico)

• Europe(U.K., Italy, Germany, France, Rest of Europe)

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

• Latin America (Chile, Brazil, Argentina, Rest of Latin America)

• Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

The report analyzes key regions of the world to offer a better understanding of the market scope based on production and consumption pattern, supply and demand ratio, presence of key market players, import/export, revenue share and contribution, and market share and size.

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market-research-future · 4 years ago

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ADME Toxicology Testing Market Growth, Size and Dynamics To 2027

ADME Toxicology Testing Market – Key players

Many major players are entering into partnership agreement for sustaining in the market. For Instance, in September 2017, BioIVT acquired Qualyst Transporter Solutions, LLC. The company intends to integrate Qualyst’ s cell-based testing approach for predicting its new drug impact on the liver. As ADME testing has been proven to be an efficient time and cost testing procedures.

Some of the key players in the global ADME toxicology testing market are Promega Corporation, Agilent Technologies, Inc., Thermo Fisher Scientific, Inc., Bio-Rad Laboratories, Inc., Beckman Coulter, Inc., Cellartis AB, Cyprotex PLC., Life Technologies Corporation, Optivia Biotechnology, Inc., Accelrys, Inc., Molecular Discovery Ltd., Cyprotex PLC, MultiCASE, Inc., Caliper Life Sciences, Inc., Xceleron, Inc., ACEA Biosciences, Inc., Albany Molecular Research, Inc., CeeTox, Inc., and others.

ADME Toxicology Testing Market – Regional Analysis

North America holds the largest share in the global ADME toxicology testing market mainly due to content or throughput screening emerging as a major contributor. This is owing to ongoing technological advancements in the field, particularly in U.S. The drug discovery techniques using cell cultures has especially gained popularity among companies competing to reach the market with a new drug molecule.

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ADME Toxicology Testing Market – Segmentation

The global ADME toxicology testing market is segmented on the basis of method, technology, application, and end-user. On the basis of method, the market is categorized into cellular assay, biochemical assay, in silica, and ex-vivo. The technology segment is categorized into cell culture, high throughput, molecular imaging, and OMICS technology. Based on application, the market is segmented into systemic toxicity, renal toxicity, hepatotoxicity, neurotoxicity, and others. On the basis of end-user, the market is segmented into hospitals and clinics, diagnostic centers, pathological labs, and others.

ADME Toxicology Testing Market – Overview

ADME toxicology is pharmacology term that refers to absorption, distribution, metabolism, and excretion with the help of toxicity testing. All these four criteria are important for studying the kinetics of drugs exposure at the tissue level hence ADME toxicology testing is crucial for drug development. The rising adoption of toxicology testing specific for ADME in pharmaceuticals and biotechnology companies along with the growing demand for cell-based assays in drug discovery is major driving factor fueling the ADME toxicology testing market growth.

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Major Table of Content by “ADME Toxicology Testing Market Research Report – Global Forecast till 2023”

Chapter 1. Report Prologue

Chapter 2. Market Introduction

2.1 Definition

2.2 Scope Of The Study

2.2.1 Research Objective

2.2.2 Assumptions

2.2.3 Limitations

Chapter 3. Research Methodology

3.1 Introduction

3.2 Primary Research

3.3 Secondary Research

3.4 Market Size Estimation

Chapter 4. Market Dynamics

4.1 Drivers

4.2 Restraints

4.3 Opportunities

TOC Continued………!

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Human Insulin Market by Type, Share, Growth and Analysis – 2027 | MRFR

About Market Research Future:

At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

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health-views-updates · 9 days ago

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2024-2032 Artificial Intelligence in Genomics Market Forecast: Growth & Revenue Insights

The global Artificial Intelligence in Genomics Market Revenue is witnessing remarkable growth, driven by advancements in AI-powered technologies that are reshaping the field of genomics. According to the SNS Insider report, the market is set to grow at an impressive rate, owing to increasing investments in personalized medicine, precision diagnostics, and drug discovery. The integration of AI into genomics offers unprecedented potential for analyzing complex datasets, accelerating genomic research, and addressing critical healthcare challenges.

AI technologies are enabling researchers to delve deeper into the complexities of human DNA, transforming how genetic data is analyzed and applied. By leveraging machine learning algorithms and big data analytics, scientists can identify patterns and correlations that were previously undetectable. These insights are fueling innovations in disease prediction, treatment planning, and understanding genetic predispositions, thereby propelling the market forward.

Furthermore, as genomic sequencing becomes more cost-effective and accessible, its adoption in clinical and research settings is expanding. The combination of genomics with artificial intelligence has proven critical in addressing pressing issues such as early disease detection, targeted therapies, and enhanced patient outcomes. Governments, private organizations, and healthcare providers are increasingly recognizing the transformative impact of AI in genomics, which has led to a surge in funding and collaborations across the globe.

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Market Dynamics and Future Scope

The Artificial Intelligence in Genomics Market is characterized by robust R&D initiatives and a focus on integrating AI capabilities into genomic workflows. Emerging trends such as the use of AI for CRISPR gene editing, AI-driven predictive modeling, and personalized healthcare applications are contributing to the market’s rapid growth. Additionally, the healthcare sector's increasing reliance on data-driven insights for decision-making is further bolstering the market's expansion.

AI’s role in genomics is also fostering significant advancements in drug discovery and development. Pharmaceutical companies are leveraging AI tools to predict molecular structures and their interactions with genetic components, thereby streamlining the drug development process. This trend is expected to lead to faster development of novel therapies for genetic and chronic diseases, enhancing the quality of care worldwide.

Regional Insights

North America currently leads the market, owing to its well-established healthcare infrastructure, significant investments in AI technology, and a strong focus on precision medicine. Europe and the Asia-Pacific regions are also witnessing substantial growth due to increasing awareness about the benefits of AI in genomics and rising healthcare expenditures. The expanding adoption of genomic technologies in emerging economies, coupled with supportive government initiatives, is expected to drive further growth in these regions.

Challenges and Opportunities

While the market offers significant opportunities, challenges such as data privacy concerns, lack of standardization in genomic datasets, and high implementation costs remain. However, ongoing advancements in cloud computing and blockchain technologies are likely to mitigate these issues, ensuring secure and efficient data management.

Conclusion

The Artificial Intelligence in Genomics Market is on a transformative journey, redefining the landscape of genetic research and personalized medicine. With AI technology evolving at an unprecedented pace, its application in genomics is expected to unlock new possibilities for understanding and addressing some of the most pressing healthcare challenges of our time.

Contact Us: Akash Anand – Head of Business Development & Strategy [email protected] Phone: +1-415-230-0044 (US) | +91-7798602273 (IND)

#Artificial Intelligence in Genomics Market #Artificial Intelligence in Genomics Market Size #Artificial Intelligence in Genomics Market Share #Artificial Intelligence in Genomics Market Growth #Market Research

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wellnessweb · 5 months ago

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AI's Impact on Drug Discovery: Exploring Market Size Growth

The Artificial Intelligence (AI) in Drug Discovery Market Size was valued at USD 1.42 billion in 2023 and is expected to reach USD 11.37 billion by 2031, and grow at a CAGR of 29.7% over the forecast period 2024-2031.AI has revolutionized the drug discovery market, offering unprecedented efficiencies and insights. By leveraging machine learning algorithms and big data analytics, AI can sift through vast libraries of molecular structures and predict potential drug candidates with remarkable accuracy. This capability accelerates the discovery process, reducing the time and cost traditionally associated with developing new drugs. Moreover, AI enables researchers to identify subtle patterns in biological data that human analysis might overlook, opening doors to novel treatments for complex diseases like cancer and neurodegenerative disorders. As AI continues to evolve, its impact on drug discovery promises to reshape the pharmaceutical industry, ushering in an era of personalized medicine and targeted therapies tailored to individual genetic profiles.

Market Scope & Overview

The Artificial Intelligence in Drug Discovery Market has seen significant growth in recent years, The report identifies and evaluates key drivers, challenges, opportunities, and restraints in the market for Artificial Intelligence in Drug Discovery Market as well as evolving dynamics and emerging trends. You will be helped in understanding the pattern with influencing trends by the market research report. The in-depth market analysis looks into regional and global market dynamics with addition of expert views.

The goal of the Artificial Intelligence in Drug Discovery Market report is to give decision-makers market data and strategic insights to help them make wise financial decisions and spot any gaps or areas for growth. A clear explanation of the stakes, potential winners and losers, and suggestions for improvement are designed in the research report to aid in the examination or comprehension of policy and regulatory concepts.

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Market Segmentation Analysis

By Component

Software

Hardware

Services

By Therapeutic Area

Oncology

Neurodegenerative Diseases

Cardiovascular Diseases

Metabolic Diseases

Infectious Diseases

Others

Artificial-Intelligence-AI-in-Drug-Discovery-Market-By-Therapeutic-Area

By Application

Drug Optimization and Repurposing

Preclinical Testing

Others

COVID-19 Impact Analysis

The outbreak of COVID-19 had a significant impact on the Artificial Intelligence in Drug Discovery Market . Additionally, future developments have been put off globally, halting the industry progress. The COVID-19 pandemic forced the creation of novel strategies for averting crises while sustaining steady rates of growth.

Future Trends

Smart Technology Integration: Future products are likely to see more integration of smart technology, offering features like tracking milk production and feeding schedules through mobile apps.

Sustainability: With increasing environmental consciousness, there is a growing demand for eco-friendly and reusable breastfeeding accessories.

Personalization: Customized products tailored to individual needs, such as personalized fitting bras and pumps designed for specific lactation needs, are gaining traction.

Regional Outlook

Geographic analysis for North America, Latin America, Asia-Pacific, Europe, and the rest of the world is included in the global Artificial Intelligence in Drug Discovery Market research. The competitive environment and regional market performance are both covered in great detail in the report. The study covered a wider range of categories and applications that could have an effect on the market in the future.

Competitive Analysis

The Artificial Intelligence in Drug Discovery Market research report details how industry leaders are enhancing supply chain logistics, expanding their global reach, and fortifying their company portfolios to gain a competitive edge in the global market. To gain a competitive advantage, businesses employ a variety of growth and expansion strategies. Industry participants pay close attention to how the various value chain stages are linked to business operations.

Key Reasons to Purchase Artificial Intelligence in Drug Discovery Market Report

The use of analytical techniques like SWOT analysis and Porter's five force analysis demonstrates how capable clients and suppliers are of making choices that will improve the bottom lines of their organizations.

The most recent research report covers all of the market's current dynamics as well as trustworthy projections regarding the main trends and revenue analysis.

Conclusion

The market research report assesses both the target market's current state and anticipated future developments that could forecast its growth over the anticipated period.

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delvenservices · 1 year ago

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Pathology AI Market Report Scope & Growth Opportunities

Pathology AI Market size is projected to reach USD 66.53 billion in 2030

Market Overview

The global Pathology AI (Artificial Intelligence) market size was estimated at USD 23.4 million in 2023 and is projected to reach USD 66.53 billion in 2030 at a CAGR of 16.1% during the forecast period 2023-2030.

The AI Pathology Market can be defined as the integration of AI-based algorithms and machine learning techniques in the world of pathology. Pathology, a critical discipline in medicine, involves the study of tissues and cells to diagnose diseases, understand their progression, and guide treatment decisions. With the advent of artificial intelligence, this traditional practice is undergoing a profound transformation, supported by advanced computing capabilities that provide pathologists and healthcare providers with unprecedented insights.

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Increasing government initiatives to encourage healthcare providers and other healthcare organizations to adopt AI-based diagnostic technologies, as well as investments by non-profits and private companies for better data sharing, improved clinical outcomes and cost reduction are some of the expected key drivers. to boost the growth of the artificial intelligence pathology market during the forecast period. Additionally, high demand for e-diagnosis services in healthcare due to increasing government healthcare expenditure is fueling the market growth. In addition, the growing need to reduce diagnostic costs, improve patient care and reduce machine downtime is one of the factors accelerating the use of artificial intelligence in pathology and diagnostics.

The COVID-19 pandemic has highlighted the shortcomings of the current healthcare system and accelerated the adoption of digital technologies such as artificial intelligence to accurately analyze complex data sets, thereby reducing the administrative and operational burden on doctors. The growth of the market has been accelerated by the birth of start-up companies and the growing recognition of financing and investments. Healthcare startups have rapidly adopted AI-based systems and are gaining recognition in the form of favorable government support and funding from private investors and venture capitalists.

Delvens Industry Expert's Standpoint

The AI Pathology Market is anticipated to grow as AI technologies continue to evolve, becoming more capable of analyzing and interpreting complex pathological data. The integration of AI into pathology workflows has the potential to revolutionize diagnostic practices, reduce errors, enhance patient outcomes, and pave the way for personalized medicine. It represents a dynamic intersection of cutting-edge technology and the field of medicine, poised to revolutionize the way diseases are diagnosed, characterized, and treated. It has witnessed significant growth in recent years, driven by advancements in artificial intelligence technology, increasing adoption of digital pathology infrastructure, and a growing need for accurate and efficient diagnostic solutions.

Key Findings

The component segment is further fragmented into Managed Software and Services. The software segment is expected to account for a larger market size during the forecast period. This significant share is due to the widespread acceptance and use of Al-based software by pathologists. The software segment offers several advantages such as high adaptability, interoperability and automation of various pathological tasks such as image analysis, data extraction and report generation. These factors drive the adoption and further development of Al software in pathology, which offers significant potential for disease detection, diagnosis and treatment planning.

The Neural network segment is further bifurcated into generative adversarial network (GAN), convolutional neural network (CNN), recurrent neural network (RNN). The convolutional neural network (CNN) is the largest market during the forecast period. The significant growth rate of this segment is due to its exceptional ability to analyze complex visual data such as pathological images, extract relevant features and provide accurate diagnoses. In addition, CNN facilitates the localization and segmentation of regions of interest in images, allowing it to continuously learn and improve its performance over time using new data and feedback from pathologists.

The market is also divided into various regions such as North America, Europe, Asia-Pacific, South America, and Middle East and Africa. North America is estimated to account for the largest market share during the forecast period owing to the growing investments and reforms to modernize the pathology infrastructure in the region and the increasing adoption of digital pathology solutions.

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Regional Analysis

North America to Dominate the Market

Moreover, the expansion of healthcare infrastructure and growing market availability of advanced AI technologies.

Competitive Landscape

General Electric Co. (GE Healthcare)

Koninklijke Philips N.V

F. Hoffmann-La Roche Ltd

Hologic, Inc

Akoya Biosciences, Inc

Aiforia

Indica Labs Inc

OptraScan

Ibex Medical Analytics Ltd.

Mindpeak GmbH

Tribun Health

Siemens Healthineers

Zebra Medical Vision, Inc.

Riverain Technologies

IDx Technologies Inc.

NovaSignal Corporation

Vuno, Inc.

Aidoc

Neural Analytics

Imagen Technologies

Digital Diagnostics, Inc.

GE Healthcare

AliveCor Inc.

Proscia Inc

PathAl, Inc.

Tempus Labs, Inc.

Purchase the Research Report at: https://www.delvens.com/checkout/pathology-ai-market-trends-forecast-till-2030

Recent Developments

In April 2023, Indica Labs Inc. signed an agreement with Lunit Inc. The agreement helped to provide a fully interoperable solution between Indica Labs’ HALO AP image management software platform and Lunit’s suite of AI pathology products.

In March 2022, Ibex Medical Analytics Ltd. Had partnered with Dedalus Group. Through this partnership, the company aimed to bring the power of artificial intelligence to digital pathology.

Reasons to Acquire

Gain authentic and granular data access for the Pathology AI (Artificial Intelligence) Market to understand the trends and the factors involved in changing market situations.

In-depth analysis of the changing trends of the market by visualizing the historic and forecast year growth patterns.

Report Scope

The Pathology AI (Artificial Intelligence) Market is segmented into various segments such as component, neural network, application, end user and region:

Based on component

Software

Scanners

Based on the Neural network

CNN

GAN

RNN

Based on the Application

Drug Discovery

Diagnosis

Prognosis

Workflow

Education

Based on End User

Pharma

Biotech

Hospital Labs

Research

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astuteanalytica · 4 years ago

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Global Artificial Intelligence In Drug Discovery Market Size, Future Scope, Trends and Forecast to 2027

Astute Analytica published a new report deciphering the Global Artificial Intelligence In Drug Discovery Market, the report provides detailed analysis and meaningful insights of important aspects required to shape the growth of the market. It unmasked the prominent growth drivers, restraint factors, challenges, opportunity analysis, and trends, along with other indispensable factors including the geographical outlook, current and prospective scenario of competitive landscape and market vendors. The report also contains a detailed analysis of market size and segmentation along with determinants representing the dominating segments.

Request a Sample of this report @ https://www.astuteanalytica.com/request-sample/ai-in-drug-discovery-market

The global Artificial Intelligence In Drug Discovery market is expected to reach at a remarkable value and to grow at a considerable CAGR over the forecast period i.e. 2021-2027. In the past years, the market has shown a significant growth rate and is projected to display a profitable growth in the upcoming years. The report offers a thorough analysis of key players active in the global Artificial Intelligence In Drug Discovery Market. Highlighting the operating business segments, product portfolio, business performance, and key strategic developments is offered. The major companies profiled in the Artificial Intelligence In Drug Discovery Market include names of key players among other prominent players. These players have adopted various business strategies including expansions, mergers & acquisitions, joint ventures, new product launches, and collaborations to gain and maintain a strong base within the industry.

The coronavirus or COVID-19 medical emergency broke out in December 2019, which has been imposed worldwide. More than 213 countries and territories have reported plethora of coronavirus cases to date. COVID-19 was officially declared a pandemic on 11th March 2020 by the World Health Organization (WHO). The study explains the impact of coronavirus disease (COVID-19) on global Artificial Intelligence In Drug Discovery market, covering the following points:

· Impact analysis of COVID-19 on the global Artificial Intelligence In Drug Discovery market in the upcoming years.

· Thorough listing of detailed research regarding each region & countries, to identify the issues caused by the coronavirus disease on the market.

· Strategies and ideas adopted by the prominent market players to survive in the pandemic situation amidst lockdown.

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Key Insights Covered in the Global Artificial Intelligence In Drug Discovery Market Report

· The report provides a qualitative and quantitative analysis of the current Artificial Intelligence In Drug Discovery Market trends, forecasts, and market size from 2020 to 2025 to unmask new opportunities which can enhance the market growth.

· Analysis of market including the market forecast, Y-o-Y growth and industrial structure.

· Leading market drivers, market trends and upcoming opportunities accelerating the growth of the market.

· Identifying the barriers, threats and upcoming challenges which hampers the way of market growth.

· The market segmentation provides an understanding of the current position of the market players active in the Artificial Intelligence In Drug Discovery Market.

· Porter's Five Forces analysis to highlight the potential of buyers and suppliers and determine the competition level in the industry.

· PESTLE analysis to describes a framework of macro-environmental factors including Political, Economic, Socio-Cultural, Technological, Legal and Environmental

· Foremost impacting factors and the major investors are also highlighted in the research.

· The major countries contributing to the generated revenue in each region are thoroughly analyzed and their contribution is carefully mentioned.

· Comprehensive analysis of prominent players in the market covering company’s business and performance in a detailed manner.

Regional Prospect

Geographically, the market is segmented into North America, Europe, Asia Pacific, South America and Middle East & Africa. In addition to this, further classification of market data and analysis of region into countries is considered in the report.

Further, the geographies are fragmented into the regional & country groupings:

· North America (U.S., Mexico & Canada)

· Europe (Germany, United Kingdom, France, and Rest of Europe)

· Asia Pacific (China, India, Japan and Rest of Asia Pacific)

· South America (Brazil, Argentina, Rest of South America)

· Middle East & Africa (Saudi Arabia, UAE, South Africa and Rest of Middle East & Africa)

Read More About Artificial Intelligence (AI) In Drug Discovery Market @ https://www.astuteanalytica.com/industry-report/ai-in-drug-discovery-market

#AI In Drug Discovery Market Share #Artificial Intelligence In Drug Discovery Market Size #Artificial Intelligence Drug Discovery

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