Deep Learning Market in Drug Discovery and Diagnostics by Therapeutic Area (Oncological Disorders, Infectious Diseases, Neurological Disorders, Immunological Disorders, Endocrine Disorders, Cardiovascular Disorders, Respiratory Disorders, Eye Disorders, M

Deep Learning Market in Drug Discovery and Diagnostics by Therapeutic Area (Oncological Disorders, Infectious Diseases, Neurological Disorders, Immunological Disorders, Endocrine Disorders, Cardiovascular Disorders, Respiratory Disorders, Eye Disorders, Musculoskeletal Disorders, Inflammatory Disorders and Other Disorders) and Key Geographical Regions (North America, Europe, Asia Pacific and Rest of the World): Industry Trends and Global Forecasts, Till 2035

DEEP LEARNING MARKET IN DRUG DISCOVERY AND DIAGNOSTICS: OVERVIEW

As per Roots Analysis, the global deep learning market in drug discovery and diagnostic is estimated to grow from USD 3.6 billion in the current year to USD 34.5 billion by 2035, at a CAGR of 21.9% during the forecast period, till 2035.

The market sizing and opportunity analysis has been segmented across the following parameters:

Therapeutic Areas

Oncological Disorders

Infectious Diseases

Neurological Disorders

Immunological Disorders

Endocrine Disorders

Cardiovascular Disorders

Respiratory Disorders

Eye Disorders

Musculoskeletal Disorders

Inflammatory Disorders

Other Disorders

Key Geographical Regions

North America

Europe

Asia-Pacific

Rest of the World

DEEP LEARNING MARKET IN DRUG DISCOVERY AND DIAGNOSTICS: GROWTH AND TRENDS

Deep learning is a complex machine learning algorithm that has the ability to process a large amount of data using neural networks. Over the past few years, deep learning has evolved as an excellent computational resource, as a result of which, various technology developers are shifting their focus towards this industry. Intelligent machines backed by relevant deep learning models are already producing significant results across various segments of the industry. The potential applications of the technique in feature extraction, medical imaging, diagnostics, and drug discovery and development have significantly assisted the healthcare and life sciences domain. Additionally, recent advancements in the deep learning market have demonstrated its potential in other healthcare-associated segments, such as molecular profiling, AI in medical imaging, data analysis and virtual screening. Owing to high investments, rising adoption of deep learning technologies and the ongoing pace of innovation, deep learning market in healthcare and drug discovery is projected to witness significant growth in the coming years.

DEEP LEARNING MARKET IN DRUG DISCOVERY AND DIAGNOSTICS: KEY INSIGHTS

The report delves into the current state of the deep learning market in drug discovery and diagnostics, and identifies potential growth opportunities within the industry. Some key findings from the report include:

1. Presently, more than 70 players across the globe claim to offer deep learning technologies for potential applications across various steps of drug discovery and development process.

2. Majority (70%) of the stakeholders employ proprietary deep learning-based technologies in drug discovery to offer big data analysis.

3. Nearly 50% of the deep learning-based diagnostic providers are based in North America; most such players offer technologies for use across medical imaging and medical diagnosis related applications.

4. Around 70% of the players engaged in offering deep learning solutions for diagnostics have been established post-2011; majority of the players offer solutions focused on oncological disorders.

5. Foreseeing the lucrative potential, a large number of players have made investments worth over USD 15 billion, across 210 funding instances, to advance the initiatives undertaken by industry stakeholders.

6. Over the past few years, more than 704,000 patients have been recruited / enrolled in clinical trials registered for deep learning-based solutions / diagnostics across different geographies.

7. Some players have managed to establish strong competitive positions; in the near future, we expect multiple acquisitions to take place wherein the relative valuation of a firm is likely to be a key determinant.

8. Increasing adoption of deep learning technologies in the life sciences and healthcare industry is anticipated to create profitable business opportunities for technology developers.

9. The market opportunity associated with deep learning in drug discovery is expected to witness an annualized growth rate of 23% over the coming 12 years.

DEEP LEARNING MARKET IN DRUG DISCOVERY AND DIAGNOSTICS: KEY SEGMENTS

Oncological Disorders Segment Accounts for the Largest Share of the Deep Learning Market for Drug Discovery and Diagnostics

Based on the therapeutic area, the market is segmented into oncological disorders, infectious diseases, neurological disorders, immunological disorders, endocrine disorders, cardiovascular disorders, respiratory disorders, eye disorders, musculoskeletal disorders, inflammatory disorders and other disorders. While oncological disorders account for a relatively higher market share, it is worth highlighting that the musculoskeletal disorders segment is expected to witness substantial market growth in the coming years.

North America Accounts for the Largest Share of the Market

Based on key geographical regions, the market is segmented into North America, Europe, Asia-Pacific and Rest of the world. Majority share is expected to be captured by technology developers based in North America and Europe. It is worth highlighting that, over the years, the market for Asia-pacific is expected to grow at a higher CAGR.

Example Players in the Deep Learning Market in Drug Discovery and Diagnostics

Aegicare

Aiforia Technologies

Ardigen

Berg

Google

Huawei

Merative

Nference

Nvidia

Owkin

Phenomic AI

Pixel AI

Primary Research Overview

The opinions and insights presented in this study were influenced by discussions conducted with multiple stakeholders. The research report features detailed transcripts of interviews held with the following industry stakeholders:

Chief Executive Officer, Advenio Technosys

Founder and Chief Executive Officer, AlgoSurg

Former Vice President of Product and Software Development, Arterys

Head of Strategy and Marketing, Arterys

Chief Technical Officer and Chief Operating Officer, Arya.ai

Former Research Scientist, ContextVision

Chief Executive Officer, Mediwhale

Chief Executive Officer, Nucleai

DEEP LEARNING MARKET IN DRUG DISCOVERY AND DIAGNOSTICS: RESEARCH COVERAGE

Market Sizing and Opportunity Analysis: The report features an in-depth analysis of the deep learning market in drug discovery and diagnostics, focusing on key market segments, including [A] therapeutic area and [B] geographical regions.

Market Landscape 1: A comprehensive evaluation of deep learning companies offering technologies and services for the purpose of drug discovery, considering various parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters, [D] application area, [E] focus area, [F] therapeutic area, [G] operational model, along with information on the [H] company’s service and product centric models.

Market Landscape 2: A comprehensive evaluation of deep learning companies offering technologies / services for diagnostics, considering various parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters, [D] application area, [E] focus area, [F] therapeutic area, [G] type of offering / solution, along with information on various [H] compatible device (CT, MRI, Ultrasound, X-Ray, Mammography, PET and others).

Company Profiles: In-depth profiles of key deep learning technology and service providers based in North America, Europe and Asia Pacific, focusing on [A] company overviews, [B] financial information (if available), [C] service portfolio, [D] recent developments and [D] an informed future outlook.

Porter’s Five Forces: A qualitative analysis, highlighting the five competitive forces prevalent in deep learning industry, including threats for new entrants, bargaining power of companies using deep learning-based drug discovery and diagnostics, bargaining power of drug developers, threats of substitute technologies and rivalry among existing competitors.

Clinical Trial Analysis: Examination of completed, ongoing, and planned clinical studies that involve deep learning in diagnostics based on parameters like [A] trial registration year, [B] trial status, [C] patient enrollment, [D] type of sponsor / collaborator, [E] therapeutic area, [F] trial focus area, [G] study design, [H] geography and [I] most active industry and non-industry players (in terms of number of clinical trials conducted).

Funding and Investment Analysis: A detailed evaluation of the investments made in the deep learning domain, based on several parameters, such as [A] year of funding, [B] amount invested, [C] type of funding, [D] focus area, [E] therapeutic area, [F] geography, [G] most active players (in terms of number of funding instances and amount invested) and [H] key investors (in terms of number of funding instances).

Start-up Health Indexing: An analysis of the start-ups engaged in the deep learning market focused on drug discovery and diagnostics, based on several relevant parameters, such as focus area, therapeutic area, operational model, compatible device, type of offering and start-up health indexing.

Company Valuation Analysis: An elaborate valuation analysis of companies that are involved in the deep learning in drug discovery and diagnostics market, based on our proprietary, multi-variable dependent valuation model to estimate the current valuation / net worth of industry players.

KEY QUESTIONS ANSWERED IN THIS REPORT

How many companies are currently engaged in this market?

Which are the leading companies in this market?

What factors are likely to influence the evolution of this market?

What is the current and future market size?

What is the CAGR of this market?

How is the current and future market opportunity likely to be distributed across key market segments?

REASONS TO BUY THIS REPORT

The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.

Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies.

The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects.

ADDITIONAL BENEFITS

Complimentary PPT Insights Packs

Complimentary Excel Data Packs for all Analytical Modules in the Report

10% Free Content Customization

Detailed Report Walkthrough Session with Research Team

Free Updated report if the report is 6-12 months old or older