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レポート概要
| 当調査レポートは次の情報を含め、世界のAIデジタル病理学市場規模と予測を収録しています。・世界のAIデジタル病理学市場：売上、2018年-2023年、2024年-2029年 ・世界のAIデジタル病理学市場：販売量、2018年-2023年、2024年-2029年 ・世界のトップ5企業、2022年 世界のAIデジタル病理学市場は2022年に000Mドルと評価され、予測期間中に000％のCAGRで2029年までに000Mドルに達すると予測されています。米国市場は2022年に000Mドルと推定されており、中国は2029年までに000Mドルに達すると予測されています。「診断支援」セグメントは今後6年間、000%のCAGRで2029年までに000Mドルに成長すると予測されています。 AIデジタル病理学のグローバル主要企業は、PathAI、 Proscia、 Aiforia、 Deep Bio、 Hologic、 Dipath、 iDeepwise、 LBP、 F.Q pathtech、 CellaVision、 AIRA Matrix、 Syntropy、 Indica Labs、 DoMore Diagnostics、 Mindpeak、 Evidiumなどです。2022年にトップ5企業がグローバル売上シェアの約000%を占めています。 MARKET MONITOR GLOBAL（MMG）は、AIデジタル病理学のメーカー、サプライヤー、流通業者、および業界の専門家を調査しました。これには、販売量、売上、需要、価格変動、製品タイプ、最近の動向と計画、産業トレンド、成長要因、課題、阻害要因、潜在的なリスクなどが含まれます。 【セグメント別市場分析】 世界のAIデジタル病理学市場：タイプ別、2018年-2023年、2024年-2029年 世界のAIデジタル病理学市場：タイプ別市場シェア、2022年 ・診断支援、予測モデリング、パターン認識、画像解析・検出、その他 世界のAIデジタル病理学市場：用途別、2018年-2023年、2024年-2029年 世界のAIデジタル病理学市場：用途別市場シェア、2022年 ・病院、診断センター、研究所・研究機関 世界のAIデジタル病理学市場：地域・国別、2018年-2023年、2024年-2029年 世界のAIデジタル病理学市場：地域別市場シェア、2022年 ・北米：アメリカ、カナダ、メキシコ ・ヨーロッパ：ドイツ、フランス、イギリス、イタリア、ロシア ・アジア：中国、日本、韓国、東南アジア、インド ・南米：ブラジル、アルゼンチン ・中東・アフリカ：トルコ、イスラエル、サウジアラビア、UAE 【競合分析】 また、当レポートは主要な市場参加者の分析を提供します。 ・主要企業におけるAIデジタル病理学のグローバル売上、2018年-2023年 ・主要企業におけるAIデジタル病理学のグローバル売上シェア、2022年 ・主要企業におけるAIデジタル病理学のグローバル販売量、2018年-2023年 ・主要企業におけるAIデジタル病理学のグローバル販売量シェア、2022年 さらに、当レポートは主要企業のプロファイルを提示します。 PathAI、 Proscia、 Aiforia、 Deep Bio、 Hologic、 Dipath、 iDeepwise、 LBP、 F.Q pathtech、 CellaVision、 AIRA Matrix、 Syntropy、 Indica Labs、 DoMore Diagnostics、 Mindpeak、 Evidium ************************************************************* ・調査・分析レポートの概要 AIデジタル病理学市場の定義 市場セグメント 世界のAIデジタル病理学市場概要 当レポートの特徴・ベネフィット 調査手法と情報源 ・世界のAIデジタル病理学市場規模 世界のAIデジタル病理学市場規模：2022年 VS 2029年 世界のAIデジタル病理学市場規模と予測 2018年-2029年 ・競争状況 グローバルトップ企業 売上ベースでのグローバルトップ企業 企業別グローバルでのAIデジタル病理学の売上 グローバルトップ3およびトップ5企業、2022年売上ベース グローバル企業のAIデジタル病理学製品タイプ グローバルにおけるティア1、ティア2、ティア3企業 ・タイプ別市場分析 タイプ区分：診断支援、予測モデリング、パターン認識、画像解析・検出、その他 AIデジタル病理学のタイプ別グローバル売上・予測 ・用途別市場分析 用途区分：病院、診断センター、研究所・研究機関 AIデジタル病理学の用途別グローバル売上・予測 ・地域別市場分析 地域別AIデジタル病理学市場規模 2022年と2029年 地域別AIデジタル病理学売上・予測 北米市場：アメリカ、カナダ、メキシコ ヨーロッパ市場：ドイツ、フランス、イギリス、イタリア、ロシア アジア市場：中国、日本、韓国、東南アジア、インド 南米市場：ブラジル、アルゼンチン 中東・アフリカ市場：トルコ、イスラエル、サウジアラビア、UAE ・主要企業のプロファイル（企業概要、事業概要、主要製品、売上、ニュースなど） PathAI、 Proscia、 Aiforia、 Deep Bio、 Hologic、 Dipath、 iDeepwise、 LBP、 F.Q pathtech、 CellaVision、 AIRA Matrix、 Syntropy、 Indica Labs、 DoMore Diagnostics、 Mindpeak、 Evidium ... |
This research report provides a comprehensive analysis of the AI in Digital Pathology market, focusing on the current trends, market dynamics, and future prospects. The report explores the global AI in Digital Pathology market, including major regions such as North America, Europe, Asia-Pacific, and emerging markets. It also examines key factors driving the growth of AI in Digital Pathology, challenges faced by the industry, and potential opportunities for market players.
The global AI in Digital Pathology market has witnessed rapid growth in recent years, driven by increasing environmental concerns, government incentives, and advancements in technology. The AI in Digital Pathology market presents opportunities for various stakeholders, including Hospital, Diagnostic Centers. Collaboration between the private sector and governments can accelerate the development of supportive policies, research and development efforts, and investment in AI in Digital Pathology market. Additionally, the growing consumer demand present avenues for market expansion.
The global AI in Digital Pathology market was valued at US$ 221.6 million in 2022 and is projected to reach US$ 837.1 million by 2029, at a CAGR of 19.2% during the forecast period.
Key Features:
The research report on the AI in Digital Pathology market includes several key features to provide comprehensive insights and facilitate decision-making for stakeholders.
Executive Summary: The report provides overview of the key findings, market trends, and major insights of the AI in Digital Pathology market.
Market Overview: The report provides a comprehensive overview of the AI in Digital Pathology market, including its definition, historical development, and current market size. It covers market segmentation by Type (e.g., Diagnosis Support, Predictive Modeling), region, and application, highlighting the key drivers, challenges, and opportunities within each segment.
Market Dynamics: The report analyses the market dynamics driving the growth and development of the AI in Digital Pathology market. The report includes an assessment of government policies and regulations, technological advancements, consumer trends and preferences, infrastructure development, and industry collaborations. This analysis helps stakeholders understand the factors influencing the AI in Digital Pathology market’s trajectory.
Competitive Landscape: The report provides an in-depth analysis of the competitive landscape within the AI in Digital Pathology market. It includes profiles of major market players, their market share, strategies, product portfolios, and recent developments.
Market Segmentation and Forecast: The report segment the AI in Digital Pathology market based on various parameters, such as by Type, region, and by Application. It provides market size and growth forecasts for each segment, supported by quantitative data and analysis. This helps stakeholders identify growth opportunities and make informed investment decisions.
Technological Trends: The report should highlight the key technological trends shaping the AI in Digital Pathology market, such as advancements in Type One technology and emerging substitutes. It analyses the impact of these trends on market growth, adoption rates, and consumer preferences.
Market Challenges and Opportunities: The report identify and analyses the major challenges faced by the AI in Digital Pathology market, such as technical bottleneck, cost limitations, and high entry barrier. It also highlights the opportunities for market growth, such as government incentives, emerging markets, and collaborations between stakeholders.
Regulatory and Policy Analysis: The report should assess the regulatory and policy landscape for AI in Digital Pathology, including government incentives, emission standards, and infrastructure development plans. It should analyse the impact of these policies on market growth and provide insights into future regulatory developments.
Recommendations and Conclusion: The report conclude with actionable recommendations for stakeholders, such as Application One Consumer, policymakers, investors, and infrastructure providers. These recommendations should be based on the research findings and address key challenges and opportunities within the AI in Digital Pathology market.
Supporting Data and Appendices: The report include supporting data, charts, and graphs to substantiate the analysis and findings. It also includes appendices with additional detailed information, such as data sources, survey questionnaires, and detailed market forecasts.
Market Segmentation
AI in Digital Pathology market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
Diagnosis Support
Predictive Modeling
Pattern Recognition
Image Analysis and Detection
Other
Market segment by Application
Hospital
Diagnostic Centers
Laboratories & Research Institutes
Global AI in Digital Pathology Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Major players covered
PathAI
Proscia
Aiforia
Deep Bio
Hologic
Dipath
iDeepwise
LBP
F.Q pathtech
CellaVision
AIRA Matrix
Syntropy
Indica Labs
DoMore Diagnostics
Mindpeak
Evidium
Outline of Major Chapters:
Chapter 1: Introduces the definition of AI in Digital Pathology, market overview.
Chapter 2: Global AI in Digital Pathology market size in revenue.
Chapter 3: Detailed analysis of AI in Digital Pathology company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of AI in Digital Pathology in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
1 Introduction to Research & Analysis Reports
1.1 AI in Digital Pathology Market Definition
1.2 Market Segments
1.2.1 Market by Type
1.2.2 Market by Application
1.3 Global AI in Digital Pathology Market Overview
1.4 Features & Benefits of This Report
1.5 Methodology & Sources of Information
1.5.1 Research Methodology
1.5.2 Research Process
1.5.3 Base Year
1.5.4 Report Assumptions & Caveats
2 Global AI in Digital Pathology Overall Market Size
2.1 Global AI in Digital Pathology Market Size: 2022 VS 2029
2.2 Global AI in Digital Pathology Market Size, Prospects & Forecasts: 2018-2029
2.3 Key Market Trends, Opportunity, Drivers and Restraints
2.3.1 Market Opportunities & Trends
2.3.2 Market Drivers
2.3.3 Market Restraints
3 Company Landscape
3.1 Top AI in Digital Pathology Players in Global Market
3.2 Top Global AI in Digital Pathology Companies Ranked by Revenue
3.3 Global AI in Digital Pathology Revenue by Companies
3.4 Top 3 and Top 5 AI in Digital Pathology Companies in Global Market, by Revenue in 2022
3.5 Global Companies AI in Digital Pathology Product Type
3.6 Tier 1, Tier 2 and Tier 3 AI in Digital Pathology Players in Global Market
3.6.1 List of Global Tier 1 AI in Digital Pathology Companies
3.6.2 List of Global Tier 2 and Tier 3 AI in Digital Pathology Companies
4 Market Sights by Product
4.1 Overview
4.1.1 By Type – Global AI in Digital Pathology Market Size Markets, 2022 & 2029
4.1.2 Diagnosis Support
4.1.3 Predictive Modeling
4.1.4 Pattern Recognition
4.1.5 Image Analysis and Detection
4.1.6 Other
4.2 By Type – Global AI in Digital Pathology Revenue & Forecasts
4.2.1 By Type – Global AI in Digital Pathology Revenue, 2018-2023
4.2.2 By Type – Global AI in Digital Pathology Revenue, 2024-2029
4.2.3 By Type – Global AI in Digital Pathology Revenue Market Share, 2018-2029
5 Sights by Application
5.1 Overview
5.1.1 By Application – Global AI in Digital Pathology Market Size, 2022 & 2029
5.1.2 Hospital
5.1.3 Diagnostic Centers
5.1.4 Laboratories & Research Institutes
5.2 By Application – Global AI in Digital Pathology Revenue & Forecasts
5.2.1 By Application – Global AI in Digital Pathology Revenue, 2018-2023
5.2.2 By Application – Global AI in Digital Pathology Revenue, 2024-2029
5.2.3 By Application – Global AI in Digital Pathology Revenue Market Share, 2018-2029
6 Sights by Region
6.1 By Region – Global AI in Digital Pathology Market Size, 2022 & 2029
6.2 By Region – Global AI in Digital Pathology Revenue & Forecasts
6.2.1 By Region – Global AI in Digital Pathology Revenue, 2018-2023
6.2.2 By Region – Global AI in Digital Pathology Revenue, 2024-2029
6.2.3 By Region – Global AI in Digital Pathology Revenue Market Share, 2018-2029
6.3 North America
6.3.1 By Country – North America AI in Digital Pathology Revenue, 2018-2029
6.3.2 US AI in Digital Pathology Market Size, 2018-2029
6.3.3 Canada AI in Digital Pathology Market Size, 2018-2029
6.3.4 Mexico AI in Digital Pathology Market Size, 2018-2029
6.4 Europe
6.4.1 By Country – Europe AI in Digital Pathology Revenue, 2018-2029
6.4.2 Germany AI in Digital Pathology Market Size, 2018-2029
6.4.3 France AI in Digital Pathology Market Size, 2018-2029
6.4.4 U.K. AI in Digital Pathology Market Size, 2018-2029
6.4.5 Italy AI in Digital Pathology Market Size, 2018-2029
6.4.6 Russia AI in Digital Pathology Market Size, 2018-2029
6.4.7 Nordic Countries AI in Digital Pathology Market Size, 2018-2029
6.4.8 Benelux AI in Digital Pathology Market Size, 2018-2029
6.5 Asia
6.5.1 By Region – Asia AI in Digital Pathology Revenue, 2018-2029
6.5.2 China AI in Digital Pathology Market Size, 2018-2029
6.5.3 Japan AI in Digital Pathology Market Size, 2018-2029
6.5.4 South Korea AI in Digital Pathology Market Size, 2018-2029
6.5.5 Southeast Asia AI in Digital Pathology Market Size, 2018-2029
6.5.6 India AI in Digital Pathology Market Size, 2018-2029
6.6 South America
6.6.1 By Country – South America AI in Digital Pathology Revenue, 2018-2029
6.6.2 Brazil AI in Digital Pathology Market Size, 2018-2029
6.6.3 Argentina AI in Digital Pathology Market Size, 2018-2029
6.7 Middle East & Africa
6.7.1 By Country – Middle East & Africa AI in Digital Pathology Revenue, 2018-2029
6.7.2 Turkey AI in Digital Pathology Market Size, 2018-2029
6.7.3 Israel AI in Digital Pathology Market Size, 2018-2029
6.7.4 Saudi Arabia AI in Digital Pathology Market Size, 2018-2029
6.7.5 UAE AI in Digital Pathology Market Size, 2018-2029
7 AI in Digital Pathology Companies Profiles
7.1 PathAI
7.1.1 PathAI Company Summary
7.1.2 PathAI Business Overview
7.1.3 PathAI AI in Digital Pathology Major Product Offerings
7.1.4 PathAI AI in Digital Pathology Revenue in Global Market (2018-2023)
7.1.5 PathAI Key News & Latest Developments
7.2 Proscia
7.2.1 Proscia Company Summary
7.2.2 Proscia Business Overview
7.2.3 Proscia AI in Digital Pathology Major Product Offerings
7.2.4 Proscia AI in Digital Pathology Revenue in Global Market (2018-2023)
7.2.5 Proscia Key News & Latest Developments
7.3 Aiforia
7.3.1 Aiforia Company Summary
7.3.2 Aiforia Business Overview
7.3.3 Aiforia AI in Digital Pathology Major Product Offerings
7.3.4 Aiforia AI in Digital Pathology Revenue in Global Market (2018-2023)
7.3.5 Aiforia Key News & Latest Developments
7.4 Deep Bio
7.4.1 Deep Bio Company Summary
7.4.2 Deep Bio Business Overview
7.4.3 Deep Bio AI in Digital Pathology Major Product Offerings
7.4.4 Deep Bio AI in Digital Pathology Revenue in Global Market (2018-2023)
7.4.5 Deep Bio Key News & Latest Developments
7.5 Hologic
7.5.1 Hologic Company Summary
7.5.2 Hologic Business Overview
7.5.3 Hologic AI in Digital Pathology Major Product Offerings
7.5.4 Hologic AI in Digital Pathology Revenue in Global Market (2018-2023)
7.5.5 Hologic Key News & Latest Developments
7.6 Dipath
7.6.1 Dipath Company Summary
7.6.2 Dipath Business Overview
7.6.3 Dipath AI in Digital Pathology Major Product Offerings
7.6.4 Dipath AI in Digital Pathology Revenue in Global Market (2018-2023)
7.6.5 Dipath Key News & Latest Developments
7.7 iDeepwise
7.7.1 iDeepwise Company Summary
7.7.2 iDeepwise Business Overview
7.7.3 iDeepwise AI in Digital Pathology Major Product Offerings
7.7.4 iDeepwise AI in Digital Pathology Revenue in Global Market (2018-2023)
7.7.5 iDeepwise Key News & Latest Developments
7.8 LBP
7.8.1 LBP Company Summary
7.8.2 LBP Business Overview
7.8.3 LBP AI in Digital Pathology Major Product Offerings
7.8.4 LBP AI in Digital Pathology Revenue in Global Market (2018-2023)
7.8.5 LBP Key News & Latest Developments
7.9 F.Q pathtech
7.9.1 F.Q pathtech Company Summary
7.9.2 F.Q pathtech Business Overview
7.9.3 F.Q pathtech AI in Digital Pathology Major Product Offerings
7.9.4 F.Q pathtech AI in Digital Pathology Revenue in Global Market (2018-2023)
7.9.5 F.Q pathtech Key News & Latest Developments
7.10 CellaVision
7.10.1 CellaVision Company Summary
7.10.2 CellaVision Business Overview
7.10.3 CellaVision AI in Digital Pathology Major Product Offerings
7.10.4 CellaVision AI in Digital Pathology Revenue in Global Market (2018-2023)
7.10.5 CellaVision Key News & Latest Developments
7.11 AIRA Matrix
7.11.1 AIRA Matrix Company Summary
7.11.2 AIRA Matrix Business Overview
7.11.3 AIRA Matrix AI in Digital Pathology Major Product Offerings
7.11.4 AIRA Matrix AI in Digital Pathology Revenue in Global Market (2018-2023)
7.11.5 AIRA Matrix Key News & Latest Developments
7.12 Syntropy
7.12.1 Syntropy Company Summary
7.12.2 Syntropy Business Overview
7.12.3 Syntropy AI in Digital Pathology Major Product Offerings
7.12.4 Syntropy AI in Digital Pathology Revenue in Global Market (2018-2023)
7.12.5 Syntropy Key News & Latest Developments
7.13 Indica Labs
7.13.1 Indica Labs Company Summary
7.13.2 Indica Labs Business Overview
7.13.3 Indica Labs AI in Digital Pathology Major Product Offerings
7.13.4 Indica Labs AI in Digital Pathology Revenue in Global Market (2018-2023)
7.13.5 Indica Labs Key News & Latest Developments
7.14 DoMore Diagnostics
7.14.1 DoMore Diagnostics Company Summary
7.14.2 DoMore Diagnostics Business Overview
7.14.3 DoMore Diagnostics AI in Digital Pathology Major Product Offerings
7.14.4 DoMore Diagnostics AI in Digital Pathology Revenue in Global Market (2018-2023)
7.14.5 DoMore Diagnostics Key News & Latest Developments
7.15 Mindpeak
7.15.1 Mindpeak Company Summary
7.15.2 Mindpeak Business Overview
7.15.3 Mindpeak AI in Digital Pathology Major Product Offerings
7.15.4 Mindpeak AI in Digital Pathology Revenue in Global Market (2018-2023)
7.15.5 Mindpeak Key News & Latest Developments
7.16 Evidium
7.16.1 Evidium Company Summary
7.16.2 Evidium Business Overview
7.16.3 Evidium AI in Digital Pathology Major Product Offerings
7.16.4 Evidium AI in Digital Pathology Revenue in Global Market (2018-2023)
7.16.5 Evidium Key News & Latest Developments
8 Conclusion
9 Appendix
9.1 Note
9.2 Examples of Clients
9.3 Disclaimer