Global Artificial Intelligence Microscopy Market

Report ID : 1308 | Published : 2022-08-01 | Pages: | Format: PDF/EXCEL

The market size of the Global Artificial Intelligence Microscopy Market is predicted to show an 9.24% CAGR during the forecast period.

AI microscopy is known to be created on a cloud-based technology platform to provide improved image analysis and streamline operations. The primary reason for using AI in microscopy techniques is to eliminate or replace the usage of fluorescence dyes and markers on living cells examined under the microscope. Furthermore, the market will expand significantly because of the increasing need for enhanced live-cell imaging, cloud sharing, efficient lab workflow, and rising research activities in drug testing and toxicity. Microscope technology advancements, growing awareness of nanotechnology and regenerative treatments, and improved regulatory procedures are driving market expansion. The introduction of big data is likely to drive market expansion because a significant number of data must be acquired, stored, and analyzed. The rising demand for image processing and identification is projected to propel the sector forward. However, the high cost of advanced microscopes may restrict the market's growth over the upcoming years.

Market Segmentation:

The Artificial Intelligence Microscopy market is segmented on the basis of product, image modalities and application. Based on product, the market is segmented as AI-Enabled Cloud Software and AI-Enabled Microscopes. By application, the market is segmented into Hospital Laboratories, Independent & Private Laboratories, Academic Research Labs, Pharmaceutical & Biotechnology Laboratories and Contract Research Organizations. Based on image modalities, the market is segmented as Optical Microscopy, Electron Microscopy, and Scanning Probe Microscopy.

Based on product, the optical microscopes segment is accounted as a major contributor in the Artificial Intelligence Microscopy market.

The optical microscopes category is expected to hold a significant share in the global Artificial Intelligence Microscopy market in 2021. because of the growing use of digital and confocal microscopes in the materials science, semiconductor, and life science industries, as well as the increasing focus on building superior digital microscopes. The electron microscopes segment, on the other hand, is expected to increase at the fastest CAGR throughout the forecast period. Extensive research in biological science and materials science, as well as the introduction of correlative light and electron microscopy, are likely to fuel future demand for electron microscopes.

The oncology Care segment witnessed growth at a rapid rate.

The Oncology care segment is projected to grow at a rapid rate in the global Artificial Intelligence Microscopy market. The primary reason for the expansion of AI in the clinical laboratory business is oncology. Cancer illness diagnosis and prevention is the primary driver of this segment's rapid growth. Clinical pathology will also be the second-fastest-growing segment., especially in countries such as the US, Germany, the UK, China, and India.

In the region, the North America Artificial Intelligence Microscopy market holds a significant revenue share.

North America is expected to be the most lucrative region in the microscopy devices market. The rising number of product approvals and releases is one of the primary factors driving the growth of the North American microscopy devices market. Furthermore, the development of collaboration centres for microscopy research, the establishment of rising R&D funding for microscopy, the expansion of the use of correlative microscopy in nanotechnology and life sciences research, the establishment of low material costs, and the accessibility of low-cost skilled labour for OEMs in these nations are all significant drivers of the Asia Pacific microscopy market's expansion.

Competitive Landscape

The key players in the Artificial Intelligence Microscopy market have shifted their focus towards bio-based components for product manufacturing and are initiating significant strategies such as mergers, acquisitions, and joint ventures of major and domestic players to enhance product portfolio and strengthen their market footprint across the globe. Some of the major key players in the Artificial Intelligence Microscopy market are ZEISS Germany, Nikon Instruments, Ariadne.ai, Mindpeak, Aiforia, Celly.AI Corporation, SVision LLC, Scopio Lab, AlexaPath, MicroscopeIT, Nanotronics, AiScope, Thermo Fisher, Ash Vision, Sigtuple, GoMicro, MantiScope, Cognex, Paige.AI, Motic, and Pleora Technologies.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Artificial Intelligence Microscopy Market Snapshot

Chapter 4. Global Artificial Intelligence Microscopy Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Imaging Modalities Estimates & Trend Analysis

5.1. By Imaging Modalities & Market Share, 2020 & 2030

5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By Imaging Modalities:

5.2.1. Optical Microscopy

5.2.2. Electron Microscopy

5.2.3. Scanning Probe Microscopy

Chapter 6. Market Segmentation 2: By Application Estimates & Trend Analysis

6.1. By Application & Market Share, 2020 & 2030

6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By Application:

6.2.1. Clinical Pathology

6.2.2. Neuron Morphology

6.2.3. Cell Biology

6.2.4. Pharmacology & Toxicology

6.2.5. Oncology

6.2.6. Others

Chapter 7. Market Segmentation 3: By Product Type Estimates & Trend Analysis

7.1. By Product Type & Market Share, 2020 & 2030

7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By Product Type:

7.2.1. Hospital Laboratories

7.2.2. Independent & Private Laboratories

7.2.3. Academic Research Labs

7.2.4. Pharmaceutical & Biotechnology Laboratories

7.2.5. Contract Research Organizations

Chapter 8. Market Segmentation 4: By End-user Estimates & Trend Analysis

8.1. By End-user & Market Share, 2020 & 2030

8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By End-user:

8.2.1. Hospitals & Radiology Clinics

8.2.2. Research Institutes & Medical Schools

Chapter 9. Artificial Intelligence Microscopy Market Segmentation 5: Regional Estimates & Trend Analysis

9.1. North America

9.1.1. North America Artificial Intelligence Microscopy Market revenue (US$ Million) estimates and forecasts By Imaging Modalities, 2020-2030

9.1.2. North America Artificial Intelligence Microscopy Market revenue (US$ Million) estimates and forecasts By Application, 2020-2030

9.1.3. North America Artificial Intelligence Microscopy Market revenue (US$ Million) estimates and forecasts by Product Type, 2020-2030

9.1.4. North America Artificial Intelligence Microscopy Market revenue (US$ Million) estimates and forecasts by End-user, 2020-2030

9.1.5. North America Artificial Intelligence Microscopy Market revenue (US$ Million) estimates and forecasts by country, 2020-2030

9.2. Europe

9.2.1. Europe Artificial Intelligence Microscopy Market revenue (US$ Million) By Imaging Modalities, 2020-2030

9.2.2. Europe Artificial Intelligence Microscopy Market revenue (US$ Million) By Application, 2020-2030

9.2.3. Europe Artificial Intelligence Microscopy Market revenue (US$ Million) estimates and forecasts by Product Type, 2020-2030

9.2.4. Europe Artificial Intelligence Microscopy Market revenue (US$ Million) estimates and forecasts by End-user, 2020-2030

9.2.5. Europe Artificial Intelligence Microscopy Market revenue (US$ Million) by country, 2020-2030

9.3. Asia Pacific

9.3.1. Asia Pacific Artificial Intelligence Microscopy Market revenue (US$ Million) By Imaging Modalities, 2020-2030

9.3.2. Asia Pacific Artificial Intelligence Microscopy Market revenue (US$ Million) By Application, 2020-2030

9.3.3. Asia Pacific Artificial Intelligence Microscopy Market revenue (US$ Million) estimates and forecasts by Product Type, 2020-2030

9.3.4. Asia Pacific Artificial Intelligence Microscopy Market revenue (US$ Million) estimates and forecasts by End-user, 2020-2030

9.3.5. Asia Pacific Artificial Intelligence Microscopy Market revenue (US$ Million) by country, 2020-2030

9.4. Latin America

9.4.1. Latin America Artificial Intelligence Microscopy Market revenue (US$ Million) By Imaging Modalities, (US$ Million)

9.4.2. Latin America Artificial Intelligence Microscopy Market revenue (US$ Million) By Application, (US$ Million)

9.4.3. Latin America Artificial Intelligence Microscopy Market revenue (US$ Million) estimates and forecasts by Product Type, 2020-2030

9.4.4. Latin America Artificial Intelligence Microscopy Market revenue (US$ Million) estimates and forecasts by End-user, 2020-2030

9.4.5. Latin America Artificial Intelligence Microscopy Market revenue (US$ Million) by country, 2020-2030

9.5. Middle East & Africa

9.5.1. Middle East & Africa Artificial Intelligence Microscopy Market revenue (US$ Million) By Imaging Modalities, (US$ Million)

9.5.2. Middle East & Africa Artificial Intelligence Microscopy Market revenue (US$ Million) By Application, (US$ Million)

9.5.3. Middle East & Africa Artificial Intelligence Microscopy Market revenue (US$ Million) estimates and forecasts by Product Type, 2020-2030

9.5.4. Middle East & Africa Artificial Intelligence Microscopy Market revenue (US$ Million) estimates and forecasts by End-user, 2020-2030

9.5.5. Middle East & Africa Artificial Intelligence Microscopy Market revenue (US$ Million) by country, 2020-2030

Chapter 10. Competitive Landscape

10.1. Major Mergers and Acquisitions/Strategic Alliances

10.2. Company Profiles

10.2.1. ZEISS Germany

10.2.2. Nikon Instruments

10.2.3. Ariadne.ai

10.2.4. Mindpeak

10.2.5. Aiforia

10.2.6. Celly.AI Corporation

10.2.7. SVision LLC

10.2.8. Scopio Lab

10.2.9. AlexaPath

10.2.10. MicroscopeIT

10.2.11. Nanotronics

10.2.12. AiScope

10.2.13. Thermo Fisher

10.2.14. Ash Vision

10.2.15. Sigtuple

10.2.16. GoMicro

10.2.17. MantiScope

10.2.18. Cognex

10.2.19. Paige.AI

10.2.20. Motic

10.2.21. Pleora Technologies

10.2.22. Other Prominent Players

Segmentation of Artificial Intelligence Microscopy Market-

"By Imaging Modalities

  • Optical Microscopy
  • Electron Microscopy
  • Scanning Probe Microscopy

By Application

  • Clinical Pathology
  • Neuron Morphology
  • Cell Biology
  • Pharmacology & Toxicology
  • Oncology
  • Others

By Product Type

  • AI-Enabled Cloud Software
  • AI-Enabled Microscopes

By End-User

  • Hospital Laboratories
  • Independent & Private Laboratories
  • Academic Research Labs
  • Pharmaceutical & Biotechnology Laboratories
  • Contract Research Organizations"

By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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9.24% CAGR during the forecast period.

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