Artificial Intelligence (AI) In Dental Imaging Market Size is valued at USD 417.5 Mn in 2023 and is predicted to reach USD 3,833.8 Mn by the year 2031 at an 32.5% CAGR during the forecast period for 2024-2031.
Artificial Intelligence transforms the dental imaging industry, bringing along advancements in both diagnostic accuracy and treatment planning and patient care. AI in dental imaging, therefore, pertains to the use of machine learning algorithms to analyze X-rays, 3D scans, among other dental images, thus enhancing precision and efficiency in diagnosing oral health conditions. Some of the benefits of AI technologies regarding the advancement of dental diagnostics include higher accuracies in diagnosis. It is, for instance, possible that advanced deep learning models can identify caries and periodontitis with high precision-a higher capability than humans. Additionally, AI improves planning the treatment, since the imaging data is analyzed to produce customized interventions and predict outcomes, which enables the clinician to make decisions, especially if the treatment is lengthy, such as orthodontics.
The applications of AI on dental imaging are quite vast and far-reaching. AI tools help in the detection of dental decay, assist in the early stages of periodontal disease, and provide automated reporting to make the workflow more efficient for dental professionals. In simple words, the improvement in diagnostic accuracy is one of the primary drivers for AI adoption because traditional methods can be subjective with undertones of inconsistency. AI will mitigate by delivering exact, data-driven insights that enhance clinical decision-making, hence better patient outcomes.
The artificial intelligence (AI) in dental imaging market is segmented by technology, imaging type, application, and end user. By technology the market is segmented into machine learning, deep learning, natural language processing (NLP), computer vision, and others. By imaging type market is categorized into intraoral imaging, extraoral imaging. By application market is categorized into dental implantology, orthodontics, endodontics, periodontology, dental caries detection, others. By end user the market is categorized into dental clinics and laboratories, hospitals, research institute, others.
Deep Learning (DL) is driving the adoption of AI in dental imaging, which provides an excellent boost for diagnostics and efficiency. Among all these types of DL, convolutional neural networks seem to shine in complex analysis of imaging studies such as X-rays and CBCT scans that even sometimes fail to detect anomalies, where human practitioners might not see. This capacity enables the timely identification of oral disorders such as caries and periodontal diseases. Further, deep learning can be applied in large datasets. This ultimately allows for the development of predictive models that might help in treatment planning and patient management. These technologies are positioned to further transform dental diagnostics, improving not just the patient outcomes but clinical workflows.
Intraoral imaging is seen to be witnessing significant growth in the AI-driven dental imaging market because of improved diagnostics and streamlined workflows. Deep learning algorithms in AI technology enhance the accuracy with which intraoral scans are interpreted, leading to diseases like cavities and periodontal disease diagnosed much earlier in the cycle. AI-integrated systems, like the Aoralscan 3 Intraoral Scanner, filter out soft tissue data that would otherwise be unnecessary in the reconstruction of clearer 3D models and, hence, abbreviate diagnostic time. In addition, AI development provides fully automated dental charting, which speeds up the process of patient record documentation with about 95% accuracy in classifying restorations on a molar. This analytical predictive capability of AI makes it personalize treatment planning so that the orthodontic and restorative treatments are implemented in efficiency, then improved on the patient’s outcome and satisfaction.
The artificial intelligence market in dental imaging lead region North America. Several prime factors are driving artificial intelligence in the dental imaging market in North America. Such regulatory approvals, for example, the FDA clearance received by DEXIS in April 2023 for the analysis of AI-aided 2D intraoral X-rays, accelerates adoption of AI-driven solutions, increases diagnostic accuracy, and simplifies clinical workflows. Advances in technology, including AI-powered intraoral scanners from Align Technology, further support the dominance of the region. High demand for dental services, which shoots up with the increasing growth of dental clinics and cosmetic practices, fuels up the requirement of high-end imaging solutions and thus leads North America at the forefront of this market.
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Report Attribute |
Specifications |
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Market Size Value In 2023 |
USD 417.5 Mn |
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Revenue Forecast In 2031 |
USD 3,833.8 Mn |
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Growth Rate CAGR |
CAGR of 32.5% from 2024 to 2031 |
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Quantitative Units |
Representation of revenue in US$ Mn and CAGR from 2024 to 2031 |
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Historic Year |
2019 to 2023 |
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Forecast Year |
2024-2031 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Technology, Imaging Type, Application, End User, |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South Korea; Southeast Asia |
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Competitive Landscape |
Dentsply Sirona, Inc., Planmeca Group (Planmeca Oy), Envista Holdings Corporation, Vatech Co., Ltd., Apteryx Imaging Inc. (Planet Dds Inc.), 3shape A/S, Claronav Inc. (Lexmark Inc.), Dental Wings Inc. (Straumann Group), The Dental Imaging Company |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Geographic competitive landscape. |
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Pricing and Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Artificial Intelligence (AI) In Dental Imaging Market Snapshot
Chapter 4. Global Artificial Intelligence (AI) In Dental Imaging 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. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2031
4.8. Global Artificial Intelligence (AI) In Dental Imaging Market Penetration & Growth Prospect Mapping (US$ Mn), 2023-2031
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.10. Use/impact of AI on Artificial Intelligence (AI) In Dental Imaging Industry Trends
Chapter 5. Artificial Intelligence (AI) In Dental Imaging Market Segmentation 1: By Technology, Estimates & Trend Analysis
5.1. Market Share by Technology, 2023 & 2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Technology:
5.2.1. Machine Learning
5.2.2. Deep Learning
5.2.3. Natural Language Processing (NLP)
5.2.4. Computer Vision
5.2.5. Others
Chapter 6. Artificial Intelligence (AI) In Dental Imaging Market Segmentation 2: By Imaging Type, Estimates & Trend Analysis
6.1. Market Share by Imaging Type, 2023 & 2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Imaging Type:
6.2.1. Intraoral Imaging
6.2.2. Extraoral Imaging
Chapter 7. Artificial Intelligence (AI) In Dental Imaging Market Segmentation 3: By Application, Estimates & Trend Analysis
7.1. Market Share by Application, 2023 & 2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Application:
7.2.1. Dental Implantology
7.2.2. Orthodontics
7.2.3. Endodontics
7.2.4. Periodontology
7.2.5. Dental Caries Detection
7.2.6. Others
Chapter 8. Artificial Intelligence (AI) In Dental Imaging Market Segmentation 4: By End-User, Estimates & Trend Analysis
8.1. Market Share by End-User, 2023 & 2031
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following End-User:
8.2.1. Dental Clinics and Laboratories
8.2.2. Hospitals
8.2.3. Research Institute
8.2.4. Others
Chapter 9. Artificial Intelligence (AI) In Dental Imaging Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. Global Artificial Intelligence (AI) In Dental Imaging Market, Regional Snapshot 2023 & 2031
9.2. North America
9.2.1. North America Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
9.2.1.1. US
9.2.1.2. Canada
9.2.2. North America Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031
9.2.3. North America Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Imaging Type, 2024-2031
9.2.4. North America Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.2.5. North America Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.3. Europe
9.3.1. Europe Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
9.3.1.1. Germany
9.3.1.2. U.K.
9.3.1.3. France
9.3.1.4. Italy
9.3.1.5. Spain
9.3.1.6. Rest of Europe
9.3.2. Europe Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031
9.3.3. Europe Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Imaging Type, 2024-2031
9.3.4. Europe Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.3.5. Europe Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.4. Asia Pacific
9.4.1. Asia Pacific Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
9.4.1.1. India
9.4.1.2. China
9.4.1.3. Japan
9.4.1.4. Australia
9.4.1.5. South Korea
9.4.1.6. Hong Kong
9.4.1.7. Southeast Asia
9.4.1.8. Rest of Asia Pacific
9.4.2. Asia Pacific Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031
9.4.3. Asia Pacific Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Imaging Type, 2024-2031
9.4.4. Asia Pacific Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts By Application, 2024-2031
9.4.5. Asia Pacific Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.5. Latin America
9.5.1. Latin America Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
9.5.1.1. Brazil
9.5.1.2. Mexico
9.5.1.3. Rest of Latin America
9.5.2. Latin America Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031
9.5.3. Latin America Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Imaging Type, 2024-2031
9.5.4. Latin America Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.5.5. Latin America Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.6. Middle East & Africa
9.6.1. Middle East & Africa Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031
9.6.1.1. GCC Countries
9.6.1.2. Israel
9.6.1.3. South Africa
9.6.1.4. Rest of Middle East and Africa
9.6.2. Middle East & Africa Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031
9.6.3. Middle East & Africa Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Imaging Type, 2024-2031
9.6.4. Middle East & Africa Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.6.5. Middle East & Africa Artificial Intelligence (AI) In Dental Imaging Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. 3shape A/S
10.2.1.1. Business Overview
10.2.1.2. Key Product/Service Offerings
10.2.1.3. Financial Performance
10.2.1.4. Geographical Presence
10.2.1.5. Recent Developments with Business Strategy
10.2.2. Apteryx Imaging Inc. (Planet Dds Inc.)
10.2.3. Claronav Inc. (Lexmark Inc.)
10.2.4. Dental Wings Inc. (Straumann Group)
10.2.5. dentalXrai GmbH
10.2.6. Denti.AI Technology Inc.
10.2.7. Dentsply Sirona, Inc.
10.2.8. DGNCT LLC (Diagnocat)
10.2.9. Envista Holdings Corporation
10.2.10. Overjet
10.2.11. PEARL, INC.
10.2.12. Planmeca Group (Planmeca Oy)
10.2.13. SmileSnap
10.2.14. The Dental Imaging Company
10.2.15. Vatech Co., Ltd.
10.2.16. Other Prominent Players
Artificial Intelligence (AI) In Dental Imaging Market by Technology -
Artificial Intelligence (AI) In Dental Imaging Market by Imaging Type -
Artificial Intelligence (AI) In Dental Imaging Market by Application -
Artificial Intelligence (AI) In Dental Imaging Market by End User -
Artificial Intelligence (AI) In Dental Imaging Market by Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & 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:
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:
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.
