Healthcare

Artificial Intelligence in Diagnostics Market Share, Trends | Forecasts to 2027

Precedence Research recently published a report on “Artificial Intelligence in Diagnostics Market (By Component: Hardware, Software and Services; By Diagnosis Type: Radiology, Pathology, Cardiology, Oncology, Neurology, Chest and Lung, Others) – Global Market Size, Trends Analysis, Segment Forecasts, Regional Outlook 2020 – 2027”. Amid the COVID-19 crisis, The global artificial intelligence in diagnostics market size was valued at 295.3 million in 2019, at a CAGR of 33.2% from 2020 – 2027.

The market revenue/volume with the help of widespread quantitative and qualitative insights, and forecasts of the market. This report presents breakdown of market into forthcoming and niche segments. Additionally, this research study gauges market revenue growth and its drift at global, regional, and country from 2016 to 2027. This research report evaluates artificial intelligence in diagnostics market on a global and regional level. It offers thorough analysis of market status, growth and forecast of the global artificial intelligence in diagnostics market for the period from 2016 to 2027. This research study offers historic data for years 2016 to 2027 along with a forecast from 2020 to 2027 based on value.

Artificial intelligence technology (AI) has progressed rapidly since 1980. This technology is employed to enhance manufacturing, cybersecurity, logistics and education. With the arrival of augmented computational power, accessibility of AI devices has also been improved. Artificial intelligence finds application in variety of areas such as image processing, image acquisition, follow-up plan, aided reporting, data mining, and data storage among others. Healthcare AI assists in patient care, hospital management and patient data management. Further, innovation of pioneering AI software in diagnostics comprising a combination of numerous data sources like CT, MRI, proteomics, genomics and patient data that helps in effectively detecting sickness and evaluating its development is also projected to push the growth of the market.

Artificial intelligence based diagnostics using AI-based medical diagnosis devices provide a smaller turnaround time compared with outdated microscopic testing. Pathologists with the help of AI-based medical diagnosis may send images and data to numerous specialists across the world that augments identification, research and collaborative diagnosis, deprived of the requirement to physically transfer the specimen from one place to other. The automatic features of AI in pathology such as AI for decrease manual mistakes that are frequently observed in physical examinations and medical tests.

Growth Factors

The introduction of AI platform is estimated to lift the clinical diagnosis growth by scaling up healthcare services across the globe. It is projected to deliver improved patient safety, outcome scrutiny, and data assortment. Progressions in data analytics is considered to upsurge the growth in the healthcare artificial intelligence industry during upcoming years. Enormous amount of data is produced each year in healthcare sector and ever-increasing volume of big data has created the requirement to implement artificial intelligence technology to handle this data resourcefully. Artificial intelligence has transformed the arena of healthcare by planning treatment plans, supporting in monotonous tasks, drug discovery and medication supervision. It is also very effectually utilized for healthcare data organization by gathering, normalizing and storing information.

Rising need for diagnostic costs reduction, plummeting machine downtime and refining patient care, is one of the influencer using the practice of artificial intelligence in diagnostics. Additionally, upward demand for cost effective diagnostic methods, rapid diagnostic data generation and operative and effectual report analysis are certain other reasons foreseen to foster the AI in diagnostics demand in the healthcare industry. Nevertheless, high capital constraint may generate affordability concerns and hinder the growth of the industry to some extent.

Scope of the Study

This artificial intelligence in diagnostics market report studies market dynamics, status and outlook especially in North America, Europe and Asia-Pacific, Latin America, Middle East and Africa. This research report offers scenario and forecast (revenue/volume), and categorizes market by players, type, application, and region. This report also studies global market prominence, competitive landscape, market share, growth rate market dynamics such as drivers, restraints and opportunities, and distributors and sales channel.

This research study also integrates Industry Chain analysis and Porter’s Five Forces Analysis. Further, this report offers competitive scenario which comprises collaborations, market concentration rate and expansions, mergers & acquisitions undertaken by companies.

Regional Snapshots

North America led the Ai in diagnostics market with substantial share of revenue more than 55% in 2019. This is credited to escalating implementation of healthcare IT solutions in diagnosis, huge subsidy for improvement of AI-based diagnosis software and existence of well-organized healthcare sector. The U.S. conquered the overall revenue contribution of artificial intelligence in diagnostics sector in this region. Collective deployment and improvement of groundbreaking and innovative medical diagnosis software and existence of a huge number of organizations functioning across segments including network and mobile operations, in the U.S. are accelerating the growth of the market in the region.

However, Asia Pacific is considered to be most potential regional market for healthcare AI business. Healthcare AI in Asia Pacific is backed by expansions in biotechnology and pharmaceutical industry and rising R&D expenditure. Furthermore, existence of large patient pool will further prompt the need for improved healthcare services, increasing disposable income and emerging healthcare infrastructure will promote growth of Asia Pacific healthcare artificial intelligence sector during forthcoming years.

Report Highlights

  • Increasing acceptance of deep learning in different healthcare applications, specifically in the sectors of disease diagnostics, medical imaging, and drug discovery, and the application of multiple devices and sensors to track a patient’s health state in real time are complementingthe market growth
  • Software appeared as the prominent segment in the AI diagnostics market with a share of more than 40% in 2019. This substantial growth is credited to the improvement of AI-based software for identification in healthcare.
  • Healthcare artificial intelligence industry in North America conquered the global marketplace and expected to mirror this trend throughout the assessment period.

Key Players:

This report also provides detailed company profiles of the key market players. This research report also highlights the competitive landscape of the artificial intelligence in diagnostics market and ranks noticeable companies as per their occurrence in diverse regions across globe and crucial developments initiated by them in the market space. This research study also tracks and evaluates competitive developments, such as collaborations, partnerships, and agreements, mergers and acquisitions; novel product introductions and developments, promotion strategies and Research and Development (R&D) activities in the marketplace. The competitive profiling of these players includes business and financial overview, gross margin, production, sales, and recent developments which can aid in assessing competition in the market.

Some of the prominent players in the artificial intelligence in diagnostics market include:

  • Siemens Healthcare GmbH
  • GE Healthcare
  • Aidoc
  • Imagen Technologies
  • AliveCor
  • Zebra Medical Vision
  • Vuno Inc.
  • IDx Technologies Inc.
  • Neural Analytics
  • Riverain Technologies

Segments Covered in the Report

By Component

  • Hardware
  • Software
  • Services

By Diagnosis Type

  • Radiology
  • Pathology
  • Cardiology
  • Oncology
  • Neurology
  • Chest and Lung
  • Others

By Regional Outlook

  • North America
    • U.S.
    • Canada
  • Europe
    • U.K.
    • Germany
    • France
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
  • Middle East & Africa
  • Latin America

Key Takeaways

  • Comprehensive analysis of the artificial intelligence in diagnostics market trends and shares from 2020 to 2027 at the global and regional levels to identify growth opportunities and analyze market developments
  • Exhaustive analysis of price trends with respect to resin type and region that are expected to impact the outlook of the global artificial intelligence in the diagnostics market
  • Porters’ Five Forces analysis that highlights the bargaining power of buyers and suppliers to enable stakeholders to make profit-oriented business decisions
  • Extensive market outlook of key geographical regions along with market drivers, inhibitors, current & future market trends, and emerging applications
  • Comprehensive list of key potential clients across major end-use industries in different geographies
  • Thorough import-export analysis  across the globe
  • Regional level production output to comprehend the demand-supply scenario
  • Competitive landscape covers key companies’ profiling, market share analysis, market footprint analysis, competitive business strategies, channels, and competition matrix for key players

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective
1.2. Scope of the Study
1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope

4.1. Introduction
4.2. Market Classification and Scope

Chapter 5. Market Dynamics Analysis and Trends

5.1. Market Dynamics
5.1.1. Market Drivers
5.1.2. Market Restraints
5.1.3. Market Opportunities
5.2. Porter’s Five Forces Analysis
5.2.1. Bargaining power of suppliers
5.2.2. Bargaining power of buyers
5.2.3. Threat of substitute
5.2.4. Threat of new entrants
5.2.5. Degree of competition

Chapter 6. Competitive Landscape

6.1.1. Company Market Share/Positioning Analysis
6.1.2. Key Strategies Adopted by Players
6.1.3. Vendor Landscape
6.1.3.1. List of Suppliers
6.1.3.2. List of Buyers

Chapter 7. Global Artificial Intelligence in Diagnostics Market, By Component

7.1. Artificial Intelligence in Diagnostics Market, by Component Type, 2020-2027
7.1.1. Hardware
7.1.1.1. Market Revenue and Forecast (2016-2027)
7.1.2. Software
7.1.2.1. Market Revenue and Forecast (2016-2027)
7.1.3. Services
7.1.3.1. Market Revenue and Forecast (2016-2027)

Chapter 8. Global Artificial Intelligence in Diagnostics Market, By Diagnosis Type

8.1. Artificial Intelligence in Diagnostics Market, by Diagnosis Type, 2020-2027
8.1.1. Radiology
8.1.1.1. Market Revenue and Forecast (2016-2027)
8.1.2. Pathology
8.1.2.1. Market Revenue and Forecast (2016-2027)
8.1.3. Cardiology
8.1.3.1. Market Revenue and Forecast (2016-2027)
8.1.4. Oncology
8.1.4.1. Market Revenue and Forecast (2016-2027)
8.1.5. Neurology
8.1.5.1. Market Revenue and Forecast (2016-2027)
8.1.6. Chest and Lung
8.1.6.1. Market Revenue and Forecast (2016-2027)
8.1.7. Others
8.1.7.1. Market Revenue and Forecast (2016-2027)

Chapter 9. Global Artificial Intelligence in Diagnostics Market, Regional Estimates and Trend Forecast

9.1. North America
9.1.1. Market Revenue and Forecast, by Component (2016-2027)
9.1.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.1.3. U.S.
9.1.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.1.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.1.4. Rest of North America
9.1.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.1.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.2. Europe
9.2.1. Market Revenue and Forecast, by Component (2016-2027)
9.2.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.2.3. UK
9.2.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.2.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.2.4. Germany
9.2.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.2.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.2.5. France
9.2.5.1. Market Revenue and Forecast, by Component (2016-2027)
9.2.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.2.6. Rest of Europe
9.2.6.1. Market Revenue and Forecast, by Component (2016-2027)
9.2.6.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.3. APAC
9.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.3.3. India
9.3.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.3.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.3.4. China
9.3.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.3.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.3.5. Japan
9.3.5.1. Market Revenue and Forecast, by Component (2016-2027)
9.3.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.3.6. Rest of APAC
9.3.6.1. Market Revenue and Forecast, by Component (2016-2027)
9.3.6.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.4. MEA
9.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.4.3. GCC
9.4.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.4.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.4.4. North Africa
9.4.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.4.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.4.5. South Africa
9.4.5.1. Market Revenue and Forecast, by Component (2016-2027)
9.4.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.4.6. Rest of MEA
9.4.6.1. Market Revenue and Forecast, by Component (2016-2027)
9.4.6.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.5. Latin America
9.5.1. Market Revenue and Forecast, by Component (2016-2027)
9.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.5.3. Brazil
9.5.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.5.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.5.4. Rest of LATAM
9.5.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.5.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)

Chapter 10. Company Profiles

10.1. Siemens Healthcare GmbH
10.1.1. Company Overview
10.1.2. Product Offerings
10.1.3. Financial Performance
10.1.4. Recent Initiatives
10.2. GE Healthcare
10.2.1. Company Overview
10.2.2. Product Offerings
10.2.3. Financial Performance
10.2.4. Recent Initiatives
10.3. Aidoc
10.3.1. Company Overview
10.3.2. Product Offerings
10.3.3. Financial Performance
10.3.4. Recent Initiatives
10.4. Imagen Technologies
10.4.1. Company Overview
10.4.2. Product Offerings
10.4.3. Financial Performance
10.4.4. Recent Initiatives
10.5. AliveCor
10.5.1. Company Overview
10.5.2. Product Offerings
10.5.3. Financial Performance
10.5.4. Recent Initiatives
10.6. Zebra Medical Vision
10.6.1. Company Overview
10.6.2. Product Offerings
10.6.3. Financial Performance
10.6.4. Recent Initiatives
10.7. Vuno Inc.
10.7.1. Company Overview
10.7.2. Product Offerings
10.7.3. Financial Performance
10.7.4. Recent Initiatives
10.8. IDx Technologies Inc.
10.8.1. Company Overview
10.8.2. Product Offerings
10.8.3. Financial Performance
10.8.4. Recent Initiatives
10.9. Neural Analytics
10.9.1. Company Overview
10.9.2. Product Offerings
10.9.3. Financial Performance
10.9.4. Recent Initiatives
10.10. Riverain Technologies
10.10.1. Company Overview
10.10.2. Product Offerings
10.10.3. Financial Performance
10.10.4. Recent Initiatives

Chapter 11. Research Methodology

11.1. Primary Research
11.2. Secondary Research
11.3. Assumptions

Chapter 12. Appendix

12.1. About Us
12.2. Glossary of Terms

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Precedence Research

Precedence Research is a worldwide market research and consulting organization. We give unmatched nature of offering to our customers present all around the globe across industry verticals. Precedence Research has expertise in giving deep-dive market insight along with market intelligence to our customers spread crosswise over various undertakings.

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