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表紙：医療コーディングにおけるAI市場規模、シェア、動向分析レポート：コンポーネント別、地域別、およびセグメント予測、2023年～2030年
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医療コーディングにおけるAI市場規模、シェア、動向分析レポート：コンポーネント別、地域別、およびセグメント予測、2023年～2030年

AI In Medical Coding Market Size, Share & Trends Analysis Report By Component (In-house, Outsourced), By Region (North America, Europe, APAC, Latin America, MEA), And Segment Forecasts, 2023 - 2030
出版日: | 発行: Grand View Research | ページ情報: 英文 90 Pages | 納期: 2～10営業日

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価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=156.76円
医療コーディングにおけるAI市場規模、シェア、動向分析レポート：コンポーネント別、地域別、およびセグメント予測、2023年～2030年
出版日: 2023年07月14日
発行: Grand View Research
ページ情報: 英文 90 Pages
納期: 2～10営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

医療コーディングにおけるAI市場の成長と動向

Grand View Research社の最新レポートによると、世界の医療コーディングにおけるAI市場規模は2030年までに57億1,000万米ドルに達する見込みです。

同市場は2023年から2030年にかけてCAGR 13.7％で成長すると予測されています。医療コーディングにおけるAI（AI）は、ヘルスケアコーディングプロセスの複雑化など、いくつかの促進要因となっています。ヘルスケアデータの増大により、コーディング業務を合理化・自動化する高度な技術が必要とされています。AIは大量のデータを効率的に分析し、パターンを特定し、コードを正確に割り当てることで、効率を改善し、請求ミスを減らすことができます。

COVID-19の大流行は、医療データ量の増加とCOVID-19症例の急増を管理するための効率的なプロセスの必要性によって、医療コーディング業界のAIに大きな影響を与えました。このため、AIを活用したソリューションの導入が加速しています。さらに、リモートワークへのシフトと遠隔医療サービスの台頭は、医療記録のリモートアクセスと分析を可能にする医療コーディングにおけるAIの需要を増幅させています。このようなパンデミックによる市場の変化は永続的な影響を及ぼし、今後数年間の大幅な成長を促進すると予測されています。

自動化された医療コーディングは、ヘルスケアプロバイダーに数多くのメリットをもたらし、効率性、正確性、収益サイクル管理を改善します。人工知能と機械学習アルゴリズムを活用することで、自動化システムは医療文書を迅速かつ正確に分析し、関連情報を抽出して、適切なコードを割り当てることができます。これにより、手作業によるコーディングが不要になり、時間を節約し、人的ミスのリスクを低減します。また、自動化されたシステムは、コーディングガイドラインや規制へのコンプライアンスを強化し、監査や否認の可能性を低減します。さらに、コーディングプロセスの迅速化、償還の最適化、バックログの削減により、収益サイクル管理も改善されます。自動化された医療コーディングにより、ヘルスケアプロバイダーは業務を合理化し、患者ケアに集中し、より良い財務結果を達成することができます。

さらに、市場の主要企業は、競争力を維持するために革新的なソリューションやサービスを発表しています。例えば、2020年11月、Diagnossは医療コーディングミスを削減するAIアシスタントを発表し、ヘルスケア請求プロセスにおける重要な課題に取り組んでいます。このAIアシスタントは、高度なアルゴリズムを活用して医療文書を分析し、潜在的なエラーを特定し、正確なコーディングをリアルタイムで提案します。このソリューションは、正確性を向上させ、請求拒否を減らし、収益サイクル管理を最適化することを目的としています。この革新的なソリューションは、ヘルスケアプロバイダーの業務効率と財務パフォーマンスを強化し、最終的には患者ケアとコスト削減を改善する可能性があります。

同様に、AGSヘルスは2022年9月、エンドツーエンドの収益サイクル管理と医療コーディングのために設計された人工知能プラットフォームを発表しました。この革新的なプラットフォームは、医療コーディング、請求、クレーム管理、払い戻しなど、収益サイクルのさまざまな側面を最適化するAI機能を組み込んでいます。高度なアルゴリズムと自動化を活用することで、AGSヘルス社のAIプラットフォームは、業務効率の向上、請求ミスの削減、支払サイクルの迅速化、医療提供者の全体的な収益パフォーマンスの改善を目指します。この発売は、ヘルスケア業界におけるAIの採用の拡大と、医療コーディングプロセスを変革する可能性を示しています。

医療コーディングにおけるAI市場レポートハイライト

  • コンポーネント別では、アウトソーシングセグメントが2022年に最も高い収益シェアを占めました。その収益シェアは66.8％であり、予測期間中に14.5％の最速CAGRで成長すると予測されています。
  • ヘルスケアプロバイダーは、管理費を最小限に抑えるために医療コーディングのアウトソーシングを選択しています。このアプローチは、コスト削減、時間の節約、ワークフローの合理化に役立ちます。
  • 北米は2022年に31.8%と大半のシェアを占めました。技術の進歩と医療インフラの改善により、北米市場は予測期間を通じて大きなシェアを占めると予測されています。

目次

第1章 調査手法と範囲

  • 市場セグメンテーションと範囲
  • 市場の定義
  • 調査手法
  • 調査範囲と前提条件
  • 見積りの流れ
  • データソースのリスト

第2章 エグゼクティブサマリー

第3章 医療コーディングにおけるAI市場の変数、動向、範囲

  • 普及と成長の見通しのマッピング
  • 価格分析
  • ユーザー視点の分析
    • 消費者行動分析
    • 市場影響力分析
  • 市場系統の見通し
    • 親市場の見通し
    • 付随市場の見通し
  • 規制の枠組み
  • 市場力学
    • 市場促進要因の分析
    • 市場抑制要因分析
    • 業界の課題
  • 医療コーディングにおける人工知能市場分析ツール
    • 医療コーディングにおけるAI市場- ポーターの分析
    • PESTEL分析
  • COVID-19が医療コーディングにおけるAI市場に与える影響

第4章 医療コーディングにおけるAI市場：コンポーネントの推定・動向分析

  • 医療コーディングにおけるAI市場：コンポーネント変動分析、2023年および2030年
  • 社内
  • 外部委託

第5章 医療コーディングにおけるAI市場：地域ビジネス分析

  • 地域市場のスナップショット
  • 北米
    • 市場推計・予測、2018年から2030年
    • 米国
    • カナダ
  • 欧州
    • 欧州市場、2018～2030年
    • 英国
    • ドイツ
    • スペイン
    • フランス
    • イタリア
    • デンマーク
    • スウェーデン
    • ノルウェー
  • アジア太平洋地域
    • アジア太平洋市場、2018～2030年
    • 日本
    • 中国
    • インド
    • 韓国
    • タイ
    • オーストラリア
  • ラテンアメリカ
    • ラテンアメリカ市場、2018～2030年
    • ブラジル
    • メキシコ
    • アルゼンチン
  • 中東・アフリカ
    • MEA市場、2018～2030年
    • 南アフリカ
    • サウジアラビア
    • アラブ首長国連邦
    • クウェート

第6章 競合分析

  • 主要市場参入企業による最近の動向と影響分析
  • 企業/競合の分類（主要なイノベーター、市場リーダー、新興企業）
  • 企業の市況分析
  • 企業の市場シェア分析（%）

第7章 企業プロファイル

  • 参入企業の概要
  • 財務実績
  • 参入企業
    • 取得
    • 製品・サービスの発売
    • パートナーシップ/コラボレーション
    • その他
図表

List of Tables

  • Table 1 List of secondary sources
  • Table 2 List of abbreviation
  • Table 3 North America artificial intelligence in medical coding market, by country, 2018 - 2030 (USD Million)
  • Table 4 North America artificial intelligence in medical coding market, by component, 2018 - 2030 (USD Million)
  • Table 5 U.S artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 6 Canada artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 7 Europe artificial intelligence in medical coding market, by country, 2018 - 2030 (USD Million)
  • Table 8 Europe artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 9 UK artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 10 Germany artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 11 France artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 12 Italy artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 13 Spain artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 14 Denmark artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 15 Sweden artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 16 Norway artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 17 Asia Pacific artificial intelligence in medical coding market, by country, 2018 - 2030 (USD Million)
  • Table 18 Asia Pacific artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 19 China artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 20 Japan artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 21 South Korea artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 22 Australia digital patient monitoring devices market, by component 2018 - 2030 (USD Million)
  • Table 23 Thailand artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 24 Latin America artificial intelligence in medical coding market, by country, 2018 - 2030 (USD Million)
  • Table 25 Latin America artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 26 Brazil artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 27 Mexico artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 28 Argentina artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 29 Middle East & Africa artificial intelligence in medical coding market, by country, 2018 - 2030 (USD Million)
  • Table 30 Middle East & Africa artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 31 South Africa artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 32 Saudi Arabia artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 33 UAE artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 34 Kuwait artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)

List of Figures

  • Fig. 1 Artificial intelligence in medical coding market segmentation
  • Fig. 2 Market research process
  • Fig. 3 Information procurement
  • Fig. 4 Primary research pattern
  • Fig. 5 Market research approaches
  • Fig. 6 Value chain-based sizing & forecasting
  • Fig. 7 QFD modeling for market share assessment
  • Fig. 8 Market formulation & validation
  • Fig. 9 Market snapshot
  • Fig. 10 Segment snapshot
  • Fig. 11 Segment snapshot
  • Fig. 12 Competitive landscape
  • Fig. 13 Artificial intelligence in medical coding market value, 2022 (USD Billion)
  • Fig. 14 Artificial intelligence in medical coding- Industry value chain analysis
  • Fig. 15 Artificial intelligence in medical coding market dynamics
  • Fig. 16 Artificial intelligence in medical coding market: PORTER's analysis
  • Fig. 17 Artificial intelligence in medical coding market: PESTEL analysis
  • Fig. 18 Artificial intelligence in medical coding market: By component: Key takeaways
  • Fig. 19 Artificial intelligence in medical coding market, by component: Market share, 2022 & 2030
  • Fig. 20 In-house market, 2018 - 2030 (USD Million)
  • Fig. 21 Outsourced market, 2018 - 2030 (USD Million)
  • Fig. 22 Regional marketplace: Key takeaways
  • Fig. 23 Regional marketplace: Key takeaways
  • Fig. 24 North America: SWOT analysis
  • Fig. 25 North America artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 26 Key country dynamics
  • Fig. 27 Reimbursement procurement process
  • Fig. 28 U.S. artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 29 Key country dynamics
  • Fig. 30 Canada artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 31 Europe: SWOT analysis
  • Fig. 32 Europe artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 33 Key country dynamics
  • Fig. 34 Germany artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 35 Key country dynamics
  • Fig. 36 UK artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 37 Key country dynamics
  • Fig. 38 France color-correcting classes market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 39 Key country dynamics
  • Fig. 40 Italy artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 41 Key country dynamics
  • Fig. 42 Spain artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 43 Key country dynamics
  • Fig. 44 Denmark artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 45 Key country dynamics
  • Fig. 46 Sweden artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 47 Key country dynamics
  • Fig. 48 Norway artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 49 Asia Pacific: SWOT analysis
  • Fig. 50 Asia Pacific artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 51 Key country dynamics
  • Fig. 52 Reimbursement procurement process
  • Fig. 53 Japan artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 54 Key country dynamics
  • Fig. 55 China artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 56 Key country dynamics
  • Fig. 57 India artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 58 Key country dynamics
  • Fig. 59 Australia artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 60 Key country dynamics
  • Fig. 61 South Korea artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 62 Key country dynamics
  • Fig. 63 Thailand artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 64 Key country dynamics
  • Fig. 65 Latin America: SWOT analysis
  • Fig. 66 Latin America artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 67 Key country dynamics
  • Fig. 68 Brazil artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 69 Key country dynamics
  • Fig. 70 Mexico artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 71 Key country dynamics
  • Fig. 72 Argentina artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 73 MEA: SWOT analysis
  • Fig. 74 Middle East & Africa artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 75 Key country dynamics
  • Fig. 76 South Africa artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 77 Key country dynamics
  • Fig. 78 Saudi Arabia artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 79 Key country dynamics
  • Fig. 80 UAE artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 81 Key country dynamics
  • Fig. 82 Kuwait artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 83 Key company categorization
  • Fig. 84 Company market position analysis
目次
Product Code: GVR-4-68040-098-0

AI In Medical Coding Market Growth & Trends

The global AI in medical coding market size is expected to reach USD 5.71 billion by 2030, based on a new report by Grand View Research, Inc. The market is expected to grow at a CAGR of 13.7% from 2023 to 2030. Several drivers propel artificial intelligence (AI) in medical coding, such as the increasing complexity of healthcare coding processes. The growing volume of healthcare data necessitates advanced technologies to streamline and automate coding operations. AI can efficiently analyze large amounts of data, identify patterns, and accurately assign codes, improving efficiency and reducing billing errors.

The COVID-19 pandemic significantly impacted AI in the medical coding industry, driven by the increased volume of healthcare data and the need for efficient processes to manage the surge in COVID-19 cases. This has led to the accelerated adoption of AI-powered solutions. Furthermore, the shift to remote work and the rise of telehealth services have amplified the demand for AI in medical coding to enable remote access and analysis of medical records. These pandemic-driven changes in the market are projected to have a lasting impact, fueling substantial growth in the coming years.

Automated medical coding offers numerous benefits to healthcare providers, improving efficiency, accuracy, and revenue cycle management. By leveraging artificial intelligence and machine learning algorithms, automated systems can quickly and accurately analyze medical documentation, extract relevant information, and assign appropriate codes. This eliminates the need for manual coding, saving time and reducing the risk of human errors. Automated systems also enhance compliance with coding guidelines and regulations, reducing the chances of audits and denials. Furthermore, it improves revenue cycle management by accelerating the coding process, optimizing reimbursement, and reducing backlogs. With automated medical coding, healthcare providers can streamline operations, focus on patient care, and achieve better financial outcomes.

Moreover, key players in the market are launching innovative solutions and services to maintain a competitive edge. For instance, in November 2020, Diagnoss introduced an AI assistant to reduce medical coding errors, addressing a critical challenge in healthcare billing processes. The AI assistant utilizes advanced algorithms to analyze medical documentation, identify potential errors, and provide real-time suggestions for accurate coding. The solution aims to improve accuracy, reduce claim denials, and optimize revenue cycle management. This innovative solution could enhance operational efficiency and financial performance for healthcare providers, ultimately improving patient care and cost savings.

Similarly, in September 2022, AGS Health unveiled an artificial intelligence platform designed for end-to-end revenue cycle management and medical coding. This innovative platform incorporates AI capabilities to optimize various aspects of the revenue cycle, including medical coding, billing, claims management, and reimbursement. By leveraging advanced algorithms and automation, AGS Health's AI platform aims to enhance operational efficiency, reduce billing errors, accelerate payment cycles, and improve overall revenue performance for healthcare providers. This launch shows the growing adoption of AI in the healthcare industry and its potential to transform medical coding processes.

AI In Medical Coding Market Report Highlights

  • Based on component, the outsourced segment accounted for the highest revenue share in 2022. Its revenue share was 66.8% and is expected to grow at the fastest CAGR of 14.5% over the forecast period
  • Healthcare providers opt to outsource their medical coding needs to minimize administrative expenses. This approach aids in cost reduction, time savings, and the streamlining of workflows
  • North America held the majority share of 31.8% in 2022. Due to technological advancements and improved healthcare infrastructure, the market in North America is projected to have a significant share throughout the forecast period

Table of Contents

Chapter 1 Methodology and Scope

  • 1.1 Market Segmentation And Scope
  • 1.2 Market Definition
  • 1.3 Research Methodology
    • 1.3.1 Information Procurement
      • 1.3.1.1 Purchased Database
      • 1.3.1.2 GVR's Internal Database
    • 1.3.2 Primary Research:
  • 1.4 Research Scope And Assumptions
  • 1.5 Estimation Process
  • 1.6 List Of Data Sources

Chapter 2 Executive Summary

  • 2.1 Artificial Intelligence in Medical Coding Market Outlook
  • 2.2 Artificial Intelligence in Medical Coding Market Segment Outlook
  • 2.3 Artificial Intelligence in Medical Coding Market Competitive Insights
  • 2.4 Artificial Intelligence in Medical Coding Market Snapshot

Chapter 3 Artificial Intelligence in Medical Coding Market Variables, Trends & Scope

  • 3.1 Penetration And Growth Prospect Mapping
  • 3.2 Pricing Analysis
  • 3.3 User Perspective Analysis
    • 3.3.1 Consumer Behavior Analysis
    • 3.3.2 Market Influencer Analysis
  • 3.4 Market Lineage Outlook
    • 3.4.1 Parent Market Outlook
    • 3.4.2 Ancillary Market Outlook
  • 3.5 Regulatory Framework
  • 3.6 Market Dynamics
    • 3.6.1 Market Driver Analysis
    • 3.6.2 Market Restraint Analysis
    • 3.6.3 Industry Challenge
  • 3.7 Artificial Intelligence In Medical Coding Market Analysis Tools
    • 3.7.1 Artificial Intelligence In Medical Coding Market - Porter's Analysis
      • 3.7.1.1 Bargaining Power Of The Supplier
      • 3.7.1.2 Bargaining Power Of The Buyer
      • 3.7.1.3 Threat Of New Entrants
      • 3.7.1.4 Threat Of Substitution
      • 3.7.1.5 Competitive Rivalry
    • 3.7.2 Pestel Analysis
      • 3.7.2.1 Political And Legal Landscape
      • 3.7.2.2 Economic And Social Landscape
      • 3.7.2.3 Technological Landscape
  • 3.8 Impact Of COVID-19 On Artificial Intelligence In Medical Coding Market

Chapter 4 Artificial Intelligence in Medical Coding Market: Component Estimates & Trend Analysis

  • 4.1 Artificial Intelligence In Medical Coding Market: Component Movement Analysis, 2023 & 2030 (USD Million)
  • 4.2 In-house
    • 4.2.1 In-house Market Estimates And Forecasts, 2018 - 2030 (USD Million)
  • 4.3 Outsourced
    • 4.3.1 Outsourced Market Estimates And Forecasts, 2018 - 2030 (USD Million)

Chapter 5 Artificial Intelligence In Medical Coding Market: Regional Business Analysis

  • 5.1 Regional Market Snapshot
  • 5.2 North America
    • 5.2.1 North America Digital Patient Monitoring Devices Market Estimates And Forecast, 2018 - 2030 (USD Million)
    • 5.2.2 U.S.
      • 5.2.2.1 U.S. Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.2.2.2 Key Country Dynamics
      • 5.2.2.3 Regulatory Framework
      • 5.2.2.4 Reimbursement Scenario
    • 5.2.3 Canada
      • 5.2.3.1 Canada Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.2.3.2 Key Country Dynamics
      • 5.2.3.3 Regulatory Framework
      • 5.2.3.4 Reimbursement Scenario
  • 5.3 Europe
    • 5.3.1 Europe Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
    • 5.3.2 UK
      • 5.3.2.1 UK Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.2.2 Key Country Dynamics
      • 5.3.2.3 Regulatory Framework
      • 5.3.2.4 Reimbursement Scenario
    • 5.3.3 Germany
      • 5.3.3.1 Germany Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.3.2 Key Country Dynamics
      • 5.3.3.3 Regulatory Framework
      • 5.3.3.4 Reimbursement Scenario
    • 5.3.4 Spain
      • 5.3.4.1 Spain Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.4.2 Key Country Dynamics
      • 5.3.4.3 Regulatory Framework
      • 5.3.4.4 Reimbursement Scenario
    • 5.3.5 France
      • 5.3.5.1 France Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.5.2 Key Country Dynamics
      • 5.3.5.3 Regulatory Framework
      • 5.3.5.4 Reimbursement Scenario
    • 5.3.6 Italy
      • 5.3.6.1 Italy Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.6.2 Key Country Dynamics
      • 5.3.6.3 Regulatory Framework
      • 5.3.6.4 Reimbursement Scenario
    • 5.3.7 Denmark
      • 5.3.7.1 Denmark Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.7.2 Key Country Dynamics
      • 5.3.7.3 Regulatory Framework
      • 5.3.7.4 Reimbursement Scenario
    • 5.3.8 Sweden
      • 5.3.8.1 Sweden Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.8.2 Key Country Dynamics
      • 5.3.8.3 Regulatory Framework
      • 5.3.8.4 Reimbursement Scenario
    • 5.3.9 Norway
      • 5.3.9.1 Norway Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.9.2 Key Country Dynamics
      • 5.3.9.3 Regulatory Framework
      • 5.3.9.4 Reimbursement Scenario
  • 5.4 Asia Pacific
    • 5.4.1 Asia-pacific Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
    • 5.4.2 Japan
      • 5.4.2.1 Japan Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.2.2 Key Country Dynamics
      • 5.4.2.3 Regulatory Framework
      • 5.4.2.4 Reimbursement Scenario
    • 5.4.3 China
      • 5.4.3.1 China Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.3.2 Key Country Dynamics
      • 5.4.3.3 Regulatory Framework
      • 5.4.3.4 Reimbursement Scenario
    • 5.4.4 India
      • 5.4.4.1 India Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.4.2 Key Country Dynamics
      • 5.4.4.3 Regulatory Framework
      • 5.4.4.4 Reimbursement Scenario
    • 5.4.5 South Korea
      • 5.4.5.1 South Korea Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.5.2 Key Country Dynamics
      • 5.4.5.3 Regulatory Framework
      • 5.4.5.4 Reimbursement Scenario
    • 5.4.6 Thailand
      • 5.4.6.1 Thailand Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.6.2 Key Country Dynamics
      • 5.4.6.3 Regulatory Framework
      • 5.4.6.4 Reimbursement Scenario
    • 5.4.7 Australia
      • 5.4.7.1 Australia Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.7.2 Key Country Dynamics
      • 5.4.7.3 Regulatory Framework
      • 5.4.7.4 Reimbursement Scenario
  • 5.5 Latin America
    • 5.5.1 Latin America Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
    • 5.5.2 Brazil
      • 5.5.2.1 Brazil Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.2.2 Key Country Dynamics
      • 5.5.2.3 Regulatory Framework
      • 5.5.2.4 Reimbursement Scenario
    • 5.5.3 Mexico
      • 5.5.3.1 Mexico Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.3.2 Key Country Dynamics
      • 5.5.3.3 Regulatory Framework
      • 5.5.2.4 Reimbursement Scenario
    • 5.5.4 Argentina
      • 5.5.4.1 Argentina Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.4.2 Key Country Dynamics
      • 5.5.4.3 Regulatory Framework
      • 5.5.4.4 Reimbursement Scenario
  • 5.5 MEA
    • 5.5.1 MEA Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
    • 5.5.2 South Africa
      • 5.5.2.1 South Africa Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.2.2 Key Country Dynamics
      • 5.5.2.3 Regulatory Framework
      • 5.5.2.4 Reimbursement Scenario
    • 5.5.3 Saudi Arabia
      • 5.5.3.1 Saudi Arabia Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.3.2 Key Country Dynamics
      • 5.5.3.3 Regulatory Framework
      • 5.4.3.4 Reimbursement Scenario
    • 5.5.4 UAE
      • 5.5.4.1 UAE Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.4.2 Key Country Dynamics
      • 5.5.4.3 Regulatory Framework
      • 5.5.2.4 Reimbursement Scenario
    • 5.5.5 Kuwait
      • 5.5.5.1 Kuwait Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.5.2 Key Country Dynamics
      • 5.5.5.3 Regulatory Framework
      • 5.5.5.4 Reimbursement Scenario

Chapter 6 Competitive Analysis

  • 6.1 Recent Developments And Impact Analysis By Key Market Participants
  • 6.2 Company/competition Categorization (Key Innovators, Market Leaders, And Emerging Players)
  • 6.3 Company Market Position Analysis
  • 6.4 Company Market Share Analysis (%)

Chapter 7 Company Profiles

  • 7.1 Participants' Overview
  • 7.2 Financial Performance
  • 7.3 Participant Categorization
    • 7.3.1 Acquisition
    • 7.3.2 Product/service Launch
    • 7.3.3 Partnerships/collaborations
    • 7.3.4 Others