Global AI in Dentistry Market Size is valued at USD 421.0 Mn in 2024 and is predicted to reach USD 3,117.6 Mn by the year 2034 at a 22.3% CAGR during the forecast period for 2025-2034.
Artificial intelligence (AI) in dentistry refers to the use of computer algorithms and machine learning techniques to analyze dental data, assist in diagnosis, treatment planning, and improve overall patient care. AI applications in dentistry are rapidly evolving and have the potential to revolutionize various aspects of the field. AI algorithms can analyze dental X-rays and intraoral images to identify early signs of cavities, often more accurately than the human eye, allowing for timely intervention and prevention of more extensive damage. Additionally, AI can assess radiographs to evaluate bone loss and detect signs of gum disease, aiding in early diagnosis and management. AI is also being developed to analyze images of oral lesions to detect potentially malignant or pre-malignant conditions, significantly improving early detection rates and enhancing patient outcomes.
In December 2024, Pearl announced that its dental AI platform received a strategic investment from the American Dental Association (ADA), the country's leading dental organization. This investment reflects the ADA’s commitment to supporting innovative companies whose groundbreaking technologies enable dentists to enhance patient care and public health. The funding initiative was led by the ADA’s Innovation Advisory Committee, which is responsible for identifying and promoting advanced solutions that drive the future of dentistry. The growing adoption of artificial intelligence (AI) in dentistry is fueled by several key factors, including the increasing demand for early and accurate diagnosis of dental diseases, the rapid advancement of imaging technologies like digital radiography and 3D imaging, and the need for greater efficiency in dental practices through faster diagnoses, optimized treatment planning, and streamlined administrative tasks.
Some of the Major Key Players in the AI in Dentistry Market are:
The AI in Dentistry Market is segmented based on technology, application, cancer type, and end-user. Based on Technology, the market is segmented into therapeutic, machine learning, and natural language processing (NLP). Based on the Application, the market is divided into dental imaging and diagnostics, treatment planning, patient management, robotics and automation, predictive analytics, and others. Based on the end-user, the market is divided into dental practices & DSOs, diagnostic laboratories, and research institutions.
Based on Technology, the market is segmented into therapeutic, machine learning, and natural language processing (NLP). Among these, the machine learning segment is expected to have the highest growth rate during the forecast period. Machine Learning (ML) dominates the AI in Dentistry market because it is exceptionally well-suited for the types of data and tasks that are critical in dental care. First, dentistry heavily relies on visual data like X-rays, CBCT scans, intraoral images, and 3D models. ML, especially through techniques like deep learning and computer vision, excels at analyzing these images to detect cavities, bone loss, periodontal disease, and oral cancers with high accuracy. Machine Learning directly improves diagnostic precision, clinical decision-making, and operational efficiency, which are central to dental care. It holds a dominant position in the AI in Dentistry market.
Based on the Application, the market is divided into dental imaging and diagnostics, treatment planning, patient management, robotics and automation, predictive analytics, and others. Among these, the dental imaging and diagnostics segment dominates the market. AI tools, especially machine learning models, are the most advanced and widely adopted for analyzing dental images, significantly improving diagnostic speed, consistency, and accuracy. Regulatory clearances, such as FDA approvals, for AI in dentistry have mainly focused on imaging and diagnostics products, further boosting market trust and encouraging clinical adoption. Dental practices often prioritize investment in AI for imaging because it offers a quick return on investment through improved detection rates, enhanced workflow efficiency, and better patient outcomes.
The North America region particularly the United States, holds the largest share of the AI in Dentistry market during the forecast period. Clinics and hospitals in the U.S. and Canada are quick to adopt AI-based imaging, diagnostics, and treatment planning tools, driving market growth. Faster FDA approvals for AI-based dental products encourage early market entry and wider clinical use. Additionally, strong venture capital and institutional funding for dental AI startups and innovations further accelerates technological advancements. The growing emphasis on early diagnosis and personalized care also supports the widespread adoption of AI-driven solutions across the region.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 421.0 Mn |
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Revenue Forecast In 2034 |
USD 3,117.6 Mn |
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Growth Rate CAGR |
CAGR of 22.3% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Mn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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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, 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; The UK; France; Italy; Spain; China; Japan; India; South Korea; Southeast Asia; South Korea; South East Asia |
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Competitive Landscape |
Pearl, VideaHealth, Overjet, Denti.AI, Diagnocat, Dentem, ORCA Dental AI, 3Shape, DentBird,Planmeca, Carestream Dental, Neocis (Yomi robotic system), DeepCare, Bola AI, DentalMonitoring, SoftSmile, Brown Bacon AI, Apteryx Imaging (Planet DDS), Claronav Inc, Dental Wings (Straumann Group), Vatech Co., Ltd., ZimVie Inc, Adent, Toothfairy AI, Dentrix, Dexis, SmileMate, OrthoFX,K Line Europe, Others |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular 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 AI in Dentistry Market Snapshot
Chapter 4. Global AI in Dentistry 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), 2024-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.9. Use/impact of AI on AI in Dentistry Market Industry Trends
4.10. Global AI in Dentistry Market Penetration & Growth Prospect Mapping (US$ Mn), 2021-2034
Chapter 5. AI in Dentistry Market Segmentation 1: By Technology, Estimates & Trend Analysis
5.1. Market Share by Technology, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Technology:
5.2.1. Machine Learning
5.2.2. Natural Language Processing (NLP)
Chapter 6. AI in Dentistry Market Segmentation 2: By Application, Estimates & Trend Analysis
6.1. Market Share by Application, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application:
6.2.1. Dental Imaging and Diagnostics
6.2.2. Treatment Planning
6.2.3. Patient Management
6.2.4. Robotics and Automation
6.2.5. Predictive Analytics
6.2.6. Others
Chapter 7. AI in Dentistry Market Segmentation 3: By End-user, Estimates & Trend Analysis
7.1. Market Share by End-user, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following End-user:
7.2.1. Dental Practices & DSOs
7.2.2. Diagnostic Laboratories
7.2.3. Research Institutions
Chapter 8. AI in Dentistry Market Segmentation 4: Regional Estimates & Trend Analysis
8.1. Global AI in Dentistry Market, Regional Snapshot 2024 & 2034
8.2. North America
8.2.1. North America AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
8.2.1.1. US
8.2.1.2. Canada
8.2.2. North America AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
8.2.3. North America AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.2.4. North America AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
8.3. Europe
8.3.1. Europe AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
8.3.1.1. Germany
8.3.1.2. U.K.
8.3.1.3. France
8.3.1.4. Italy
8.3.1.5. Spain
8.3.1.6. Rest of Europe
8.3.2. Europe AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
8.3.3. Europe AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.3.4. Europe AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
8.4. Asia Pacific
8.4.1. Asia Pacific AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
8.4.1.1. India
8.4.1.2. China
8.4.1.3. Japan
8.4.1.4. Australia
8.4.1.5. South Korea
8.4.1.6. Hong Kong
8.4.1.7. Southeast Asia
8.4.1.8. Rest of Asia Pacific
8.4.2. Asia Pacific AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
8.4.3. Asia Pacific AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.4.4. Asia Pacific AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
8.5. Latin America
8.5.1. Latin America AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
8.5.1.1. Brazil
8.5.1.2. Mexico
8.5.1.3. Rest of Latin America
8.5.2. Latin America AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
8.5.3. Latin America AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.5.4. Latin America AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
8.6. Middle East & Africa
8.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
8.6.1.1. GCC Countries
8.6.1.2. Israel
8.6.1.3. South Africa
8.6.1.4. Rest of Middle East and Africa
8.6.2. Middle East & Africa AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
8.6.3. Middle East & Africa AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.6.4. Middle East & Africa AI in Dentistry Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles
9.2.1. Pearl
9.2.1.1. Business Overview
9.2.1.2. Key Technology/Service Overview
9.2.1.3. Financial Performance
9.2.1.4. Geographical Presence
9.2.1.5. Recent Developments with Business Strategy
9.2.2. VideaHealth
9.2.3. Overjet
9.2.4. Denti.AI
9.2.5. Diagnocat
9.2.6. Dentem
9.2.7. ORCA Dental AI
9.2.8. 3Shape
9.2.9. DentBird
9.2.10. Planmeca
9.2.11. Carestream Dental
9.2.12. Neocis (Yomi robotic system)
9.2.13. DeepCare
9.2.14. Bola AI
9.2.15. DentalMonitoring
9.2.16. SoftSmile
9.2.17. Brown Bacon AI
9.2.18. Apteryx Imaging (Planet DDS)
9.2.19. Claronav Inc.
9.2.20. Dental Wings (Straumann Group)
9.2.21. Vatech Co., Ltd.
9.2.22. ZimVie Inc.
9.2.23. Adent
9.2.24. Toothfairy AI
9.2.25. Dentrix
9.2.26. Dexis
9.2.27. SmileMate
9.2.28. OrthoFX
9.2.29. K Line Europe
9.2.30. Others
Segmentation of AI in Dentistry Market
Global AI in Dentistry Market - By Technology
Global AI in Dentistry Market – By Application
Global AI in Dentistry Market – By End-user
Global AI in Dentistry 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.
To know more about the research methodology used for this study, kindly contact us/click here.
