表紙:医療AI市場:提供形態別、アルゴリズム別、用途別、エンドユーザー別:世界の機会分析と業界予測(2021年-2030年)
市場調査レポート
商品コード
1032628

医療AI市場:提供形態別、アルゴリズム別、用途別、エンドユーザー別:世界の機会分析と業界予測(2021年-2030年)

AI in Healthcare Market by Offering, Algorithm, Application, and End User : Global Opportunity Analysis and Industry Forecast, 2021--2030

出版日: | 発行: Allied Market Research | ページ情報: 英文 286 Pages | 納期: 2~3営業日

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=115.01円
医療AI市場:提供形態別、アルゴリズム別、用途別、エンドユーザー別:世界の機会分析と業界予測(2021年-2030年)
出版日: 2021年08月31日
発行: Allied Market Research
ページ情報: 英文 286 Pages
納期: 2~3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界の医療AIの市場規模は、2020年に82億3,000万米ドルと評価され、予想期間中に38.1%のCAGRで成長し、2030年には1,941億4,000万米ドルに達すると予想されています。

人工知能(AI)は、知的な機械、特に知的なコンピュータープログラムを設計するために採用される科学と工学と定義することができます。AIは、生物学、コンピュータサイエンス、数学、言語学、心理学、工学などのさまざまな分野において、推論、学習、問題解決能力など、人間の知能に基づくさまざまな機能を応用した知的システムです。AIは、服薬管理、治療計画、創薬などに広く応用されています。

新型コロナウィルス感染症(COVID-19)のパンデミックは、AIツールの使用が増加しているため、医療分野のAI市場にプラスの影響を与えると予想されます。これは、ウイルスを検出・診断し、個人に合わせた情報や学習によってアウトブレイクに対応するためのAIツールの使用が増加しているためで、その一つが医療分野のAIです。例えば、2020年2月には、英国のAIスタートアップであるBenevolent AI社が、SARS-CoV-2のウイルス複製プロセスをブロックする可能性のある承認薬をAIツールで特定するという論文を発表しました。

また、IBMやMicrosoftなどの多くの主要企業がAI技術を利用して顧客に付加価値を与えていることから、ヘルスケア分野の人工知能市場は今後の成長を後押しすると予想されています。

さらに、IBMは、パブリッククラウド上のAIプラットフォーム「Watson Assistant for Citizens」を、少なくとも90日間は無料で利用できるようにしました。これは、COVID-19に関する問い合わせを認識し、回答することを支援するものです。また、2020年4月には、マイクロソフト社が2,000万米ドルを投じて、人工知能技術やデータサイエンスを活用したCOVID-19の研究を支援し、主に病院のリソースや診断などの重要な分野に焦点を当てています。このように、AIは新型コロナウィルス感染症のパンデミックを抑制するための恩恵として登場しています。

世界の医療分野におけるAI市場の成長は、AIによる患者の転帰の改善、医療従事者と患者の連携強化の必要性、精密医療の導入の増加、ベンチャーキャピタル投資の顕著な増加などが要因となっています。また、医療におけるビッグデータの重要性が高まっていることも、市場の成長を促進すると考えられます。さらに、AIシステムの技術的進歩が市場の成長を促進すると予想されています。高齢者ケアのためのAIベースのツールの将来性や、中国やインドなどの新興市場の未開発の可能性は、市場拡大のための様々な機会を提供すると予想されます。

しかし、不明確な規制シナリオや、医療従事者がAIベースの技術を採用することに消極的であることが、市場成長の妨げになると予想されます。

当レポートでは、世界の医療AI市場を調査し、市場概要、市場の成長要因と抑制要因、提供形態別・アルゴリズム別・用途別・エンドユーザー別の市場分析、主要企業のプロファイルを提供しています。

目次

第1章 イントロダクション

第2章 エグゼクティブサマリー

第3章 市場概要

  • 市場の定義と範囲
  • 調査結果
    • 投資
    • 成功戦略
    • 主要企業のポジショニング
  • 補助金プログラムと資金
  • ポーターのファイブフォース分析
  • 規制と償還シナリオ
  • 市場力学
    • 促進要因
      • AI機能の強化につながるAIシステムの処理能力の向上
      • 熟練した医療専門家の不足
      • 新規手術とスクリーニングのためのAIの応用
    • 抑制要因
      • AIの意思決定の限界
      • 怪我や誤解のリスクがあるため、医療専門家からの受け入れは限られている
    • 市場機会
      • 発展途上地域の未開拓の市場
    • 影響分析
  • Covid-19の市場への影響

第4章 医療AI市場:提供形態別

  • ハードウェア
  • ソフトウェア
  • サービス

第5章 医療AI市場:アルゴリズム別

  • ディープラーニング
  • クエリメソッド
  • 自然言語処理
  • コンテキストアウェア

第6章 医療AI市場:用途別

  • ロボット支援手術
  • バーチャル看護助手
  • 管理ワークフローの支援
  • 不正検出
  • 投与量エラーの削減
  • 臨床試験参加者識別子
  • 予備診断
  • その他

第7章 医療AI市場:エンドユーザー別

  • 医療提供者
  • 製薬・バイオテクノロジー企業
  • 患者
  • 支払者

第8章 医療AI市場:地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • フランス
    • 英国
    • イタリア
    • スペイン
    • その他
  • アジア太平洋
    • 日本
    • 中国
    • オーストラリア
    • インド
    • 韓国
    • 台湾
    • その他
  • ラテンアメリカ・中東・アフリカ
    • ブラジル
    • サウジアラビア
    • 南アフリカ
    • その他

第9章 企業プロファイル

  • Alphabet Inc. (Google Inc.)
  • Enlitic Inc.
  • General Vision
  • iCarbonX
  • Intel Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Nvidia Corporation
  • Next IT Corp.
  • Welltok Inc.
図表

LIST OF TABLES

  • TABLE 01.GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 20202-2030 ($MILLION)
  • TABLE 02.HARDWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020-2030 ($MILLION)
  • TABLE 03.SOFTWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020-2030 ($MILLION)
  • TABLE 04.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, FOR SERVICES, BY REGION, 2020-2030 ($MILLION)
  • TABLE 05.GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030($MILLION)
  • TABLE 06.DEEP LEARNING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020-2030 ($MILLION)
  • TABLE 07.QUERYING METHOD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020-2030($MILLION)
  • TABLE 08.NATURAL LANGUAGE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020-2030 ($MILLION)
  • TABLE 09.CONTEXT AWARE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020-2030 ($MILLION)
  • TABLE 10.GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 11.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ROBOT-ASSISTED SURGERY, BY REGION, 2020-2030 ($MILLION)
  • TABLE 12.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR VIRTUAL NURSING ASSISTANT, BY REGION, 2020-2030 ($MILLION)
  • TABLE 13.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ADMINISTRATIVE WORKFLOW ASSISTANCE, BY REGION, 2020-2030 ($MILLION)
  • TABLE 14.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR FRAUD DETECTION, BY REGION, 2020-2030 ($MILLION)
  • TABLE 15.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR DOSAGE ERROR REDUCTION, BY REGION, 2020-2030 ($MILLION)
  • TABLE 16.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR CLINICAL TRIAL PARTICIPANT IDENTIFIER, BY REGION, 2020-2030 ($MILLION)
  • TABLE 17.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PRELIMINARY DIAGNOSIS, BY REGION, 2020-2030 ($MILLION)
  • TABLE 18.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR OTHERS, BY REGION, 2020-2030 ($MILLION)
  • TABLE 19.GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 20.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR HEALTHCARE PROVIDERS, BY REGION, 2020-2030 ($MILLION)
  • TABLE 21.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY REGION, 2020-2030 ($MILLION)
  • TABLE 22.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PATIENTS, BY REGION, 2020-2030 ($MILLION)
  • TABLE 23.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PAYER, BY REGION, 2020-2030 ($MILLION)
  • TABLE 24.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020-2030 ($MILLION)
  • TABLE 25.NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020-2030 ($MILLION)
  • TABLE 26.NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 27.NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 28.NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 29.NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 30.U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 31.U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 32.U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 33.U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION
  • TABLE 34.CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 35.CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 36.CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 37.CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 38.MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 39.MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 40.MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 41.MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 42.EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020-2030 ($MILLION)
  • TABLE 43.EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 44.EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 45.EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 46.EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 47.GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 48.GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 49.GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 50.GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 51.FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 52.FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 53.FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 54.FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 55.UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 56.UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 57.UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 58.UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 59.ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 60.ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 61.ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 62.ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 63.SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 64.SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 65.SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 66.SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 67.REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 68.REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019-2027 ($MILLION)
  • TABLE 69.REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 70.REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 71.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 72.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2039 ($MILLION)
  • TABLE 73.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030($MILLION)
  • TABLE 74.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 75.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020-2030($MILLION)
  • TABLE 76.JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 77.JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019-2027 ($MILLION)
  • TABLE 78.JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 79.JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 80.CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 81.CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 82.CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 83.CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030($MILLION)
  • TABLE 84.AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 85.AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 86.AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 87.AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 88.INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 89.INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 90.INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 91.INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 92.SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 93.SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019-2027 ($MILLION)
  • TABLE 94.SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030($MILLION)
  • TABLE 95.SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030($MILLION)
  • TABLE 96.TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 97.TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 98.TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 99.TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 100.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 101.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 102.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 103.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 104.LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 105.LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 106.LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 107.LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 108.LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020-2030 ($MILLION)
  • TABLE 109.BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 110.BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 111.BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 112.BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 113.SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 114.SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 115.SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 116.SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 117.SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 118.SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 119.SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 120.SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
  • TABLE 121.REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
  • TABLE 122.REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
  • TABLE 123.REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
  • TABLE 124.REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019-2027 ($MILLION)

LIST OF FIGURES

  • FIGURE 01.AI IN HEALTHCARE MARKET SEGMENTATION
  • FIGURE 02.TOP INVESTMENT POCKETS
  • FIGURE 03.TOP WINNING STRATEGIES, BY YEAR, 2020*
  • FIGURE 04.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2020* (%)
  • FIGURE 05.TOP WINNING STRATEGIES, BY COMPANY, 2020*
  • FIGURE 06.TOP PLAYER POSITIONING, 2020
  • FIGURE 07.MODERATE BARGAINING POWER OF BUYERS
  • FIGURE 08.MODERATE BARGAINING POWER OF SUPPLIERS
  • FIGURE 09.HIGH THREAT OF NEW ENTRANTS
  • FIGURE 10.LOW THREAT OF SUBSTITUTION
  • FIGURE 11.HIGH COMPETITIVE RIVALRY
  • FIGURE 12.IMPACT ANALYSIS
  • FIGURE 13.COMPARATIVE SHARE ANALYSIS OF HARDWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
  • FIGURE 14.COMPARATIVE SHARE ANALYSIS OF SOFTWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
  • FIGURE 15.COMPARATIVE SHARE ANALYSIS OF SERVICES ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
  • FIGURE 16.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
  • FIGURE 17.COMPARATIVE SHARE ANALYSIS OF QUERYING METHOD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
  • FIGURE 18.COMPARATIVE SHARE ANALYSIS OF NATURAL LANGUAGE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
  • FIGURE 19.COMPARATIVE SHARE ANALYSIS OF CONTEXT AWARE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
  • FIGURE 20.OMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ROBOT-ASSISTED SURGERY, BY COUNTRY, 2020 & 2030 (%)
  • FIGURE 21.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR VIRTUAL NURSING ASSISTANT, BY COUNTRY, 2020 & 2030 (%)
  • FIGURE 22.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ADMINISTRATIVE WORKFLOW ASSISTANCE, BY COUNTRY, 2020 & 2030 (%)
  • FIGURE 23.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR FRAUD DETECTION, BY COUNTRY, 2020 & 2030 (%)
  • FIGURE 24.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR DOSAGE ERROR REDUCTION, BY COUNTRY, 2020 & 2030 (%)
  • FIGURE 25.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR CLINICAL TRIAL PARTICIPANT IDENTIFIER, BY COUNTRY, 2020 & 2030 (%)101
  • FIGURE 26.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PRELIMINARY DIAGNOSIS, BY COUNTRY, 2020& 2030 (%)
  • FIGURE 27.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030 (%)
  • FIGURE 28.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR HEALTHCARE PROVIDERS, BY COUNTRY, 2020 & 2030 (%)
  • FIGURE 29.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY COUNTRY, 2020 & 2030 (%)112
  • FIGURE 30.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PATIENTS, BY COUNTRY, 2020 & 2030 (%)
  • FIGURE 31.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY PAYER, BY COUNTRY, 2020 & 2030 (%)
目次
Product Code: A02090

The global AI in healthcare market was valued at $8.23 Billion in 2020, and is projected to reach $194.14 billion by 2030, growing at a CAGR of 38.1% from 2021 to 2030.

Artificial intelligence (AI) can be defined as the science and engineering adopted to design intelligent machines, especially intelligent computer programs. AI is an intelligent system that applies various human intelligence-based functions such as reasoning, learning, and problem-solving skills on different disciplines such as biology, computer science, mathematics, linguistics, psychology, and engineering. AI is widely applicable in medication management, treatment plans, and drug discovery.

The impact of COVID-19 pandemic is expected to remain positive for the AI in healthcare market owing to increase in usage of AI tools to detect & diagnose the virus and retorting to the outbreak through personalized information and learning, one of them being AI in healthcare. For instance, In February 2020, British AI-startup Benevolent AI published article in which AI tools are used to identify approved drugs that might block the viral replication process of SARS-CoV-2.

In addition, as per study the artificial intelligence in healthcare market is projected to boost the growth in future as many key players such as IBM, and Microsoft are using AI technologies to add value to their customers.

Moreover, IBM has made its AI platform 'Watson Assistant for Citizens' on the public cloud available free of charge for at least 90 days. It helps people to recognize and respond to queries about COVID-19. For Instance, in April 2020, Microsoft investment $20 million to help in COVID-19 research with the use of artificial intelligence technology and data sciences, mainly focusing on hospital resources, diagnostics, and other critical areas. Thus, AI has emerged as a boon to control the COVID-19 pandemic.

The growth of the global AI in healthcare market is driven by the ability of AI to improve patient outcomes, need to increase coordination between healthcare workforce & patients, increase in adoption of precision medicine, and a notable rise in venture capital investments. In addition, rise in importance of big data in healthcare is expected to fuel the market growth. Furthermore, technological advancements in AI systems are anticipated to augment the market growth. Prospective of AI-based tools for elderly care and the untapped potential of emerging markets, such as China and India, are expected to present various opportunities for market expansion.

However, an imprecise regulatory scenario and reluctance among healthcare professionals to adopt AI-based technologies are expected to hamper the market growth.

The AI in healthcare market is segmented on the basis of offering, algorithm, application, end user, and region. By offering, the market is divided into hardware, software, and services. By algorithm, it is classified into deep learning, querying method, natural language processing, and context aware processing. By application, it is fragmented into robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others. By end user, it is categorized into healthcare providers, pharmaceutical & biotechnology companies, patients, and payers. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Some of the key players operating in the global AI in healthcare market include Welltok, Inc., Intel Corporation, NVidia Corporation, Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Inc., Enlitic, Inc., Next IT Corporation, ICarbonX, Shimadzu Recursion Pharmaceuticals, Inc., Siemens Healthineers, General Electric (GE) Company, Koninklijke Philips N.V., Cloudmedx, Inc., and Bay Labs, Inc.

KEY BENEFITS FOR STAKEHOLDERS

  • This report entails a detailed quantitative analysis along with the current AI in healthcare market trends from 2020 to 2030 to identify the prevailing opportunities along with the strategic assessment.
  • The global AI in healthcare market forecast is studied from 2020 to 2030.
  • The market size and estimations are based on a comprehensive analysis of key developments in the AI in healthcare industry.
  • A qualitative analysis based on innovative products facilitates strategic business planning.
  • The development strategies adopted by the key market players are enlisted to understand the competitive scenario of the global AI in healthcare market.

KEY MARKET SEGMENTS

By Offering

  • Hardware
  • Software
  • Services

By Algorithms

  • Deep Learning
  • Querying Method
  • Natural Language Processing
  • Context Aware Processing

By Application

  • Robot-assisted Surgery
  • Virtual Nursing Assistant
  • Administrative Workflow Assistance
  • Fraud Detection
  • Dosage Error Reduction
  • Clinical Trial Participant Identifier
  • Preliminary Diagnosis
  • Others

By End User

  • Healthcare Providers
  • Pharmaceutical & Biotechnology Company
  • Patients
  • Payers

By Region

  • North America
  • U.S.
  • Canada
  • Mexico
  • Europe
  • Germany
  • France
  • UK
  • Italy
  • Spain
  • Rest of Europe
  •  * Asia-Pacific
  • Japan
  • China
  • India
  • Australia
  • Rest of Asia-Pacific
  • LAMEA
  • Brazil
  • South Africa
  • Saudi Arabia
  • Rest of LAMEA

KEY MARKET PLAYERS

  • Welltok, Inc.
  • Intel Corporation
  • Nvidia Corporation
  • Google Inc.
  • IBM Corporation
  • Microsoft Corporation
  • General Vision, Inc.
  • Enlitic, Inc.
  • Next IT Corporation
  • iCarbonX

List of other players in the value chain (profiles not included in the report):

  • Shimadzu Recursion Pharmaceuticals, Inc.
  • Siemens Healthineers
  • General Electric (GE) Company
  • Koninklijke Philips N.V.
  • Cloudmedx, Inc.
  • Bay Labs, Inc.

TABLE OF CONTENTS

CHAPTER 1:INTRODUCTION

  • 1.1.Report description
  • 1.2.Key benefits for stakeholders
  • 1.3.Key market segments
  • 1.4.Research methodology
    • 1.4.1.Secondary research
    • 1.4.2.Primary research
    • 1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

  • 2.1.CXO perspective

CHAPTER 3:MARKET OVERVIEW

  • 3.1.Market definition and scope
  • 3.2.Key findings
    • 3.2.1.Top investment pockets
    • 3.2.2.Top winning strategies
    • 3.2.3.Top Player Positioning
  • 3.3.Subsidy programs and funding
  • 3.4.Porter's five forces analysis
  • 3.5.Regulations and reimbursement scenario
  • 3.6.Market dynamics
    • 3.6.1.Drivers
      • 3.6.1.1.Increase in processing power of AI systems leading to enhanced AI capabilities
      • 3.6.1.2.Dearth of skilled healthcare professionals
      • 3.6.1.3.Application of AI for novel surgeries and screening
    • 3.6.2.Restraints
      • 3.6.2.1.Limitations of AI decision-making
      • 3.6.2.2.Limited acceptance from healthcare professionals owing to risk of injury and misinterpretation
    • 3.6.3.Opportunities
      • 3.6.3.1.Untapped market in developing regions
    • 3.6.4.Impact analysis
  • 3.7.Impact of Covid-19 on the market

CHAPTER 4:ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING

  • 4.1.Overview
    • 4.1.1.Market size and forecast
  • 4.2.Hardware
    • 4.2.1.Key market trends and opportunities
    • 4.2.2.Market size and forecast
    • 4.2.3.Market analysis, by country
  • 4.3.Software
    • 4.3.1.Key market trends and opportunities
    • 4.3.2.Market size and forecast
    • 4.3.3.Market analysis, by country
  • 4.4.Services
    • 4.4.1.Key market trends and opportunities
    • 4.4.2.Market size and forecast
    • 4.4.3.Market analysis, by country

CHAPTER 5:ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHM

  • 5.1.Overview
    • 5.1.1.Market size and forecast
  • 5.2.Deep learning
    • 5.2.1.Market size and forecast
    • 5.2.2.Market analysis, by country
  • 5.3.Querying method
    • 5.3.1.Market size and forecast
    • 5.3.2.Market analysis, by country
  • 5.4.Natural language processing
    • 5.4.1.Market size and forecast
    • 5.4.2.Market analysis, by country
  • 5.5.Context aware processing
    • 5.5.1.Market size and forecast
    • 5.5.2.Market analysis, by country

CHAPTER 6:ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION

  • 6.1.Overview
    • 6.1.1.Market size and forecast
  • 6.2.Robot-assisted surgery
    • 6.2.1.Market size and forecast
    • 6.2.2.Market analysis, by country
  • 6.3.Virtual nursing assistant
    • 6.3.1.Market size and forecast
    • 6.3.2.Market analysis, by country
  • 6.4.Administrative workflow assistance
    • 6.4.1.Market size and forecast
    • 6.4.2.Market analysis, by country
  • 6.5.Fraud detection
    • 6.5.1.Market size and forecast
    • 6.5.2.Market analysis, by country
  • 6.6.Dosage error reduction
    • 6.6.1.Market size and forecast
    • 6.6.2.Market analysis, by country
  • 6.7.Clinical trial participant identifier
    • 6.7.1.Market size and forecast
    • 6.7.2.Market analysis, by country
  • 6.8.Preliminary diagnosis
    • 6.8.1.Market size and forecast
    • 6.8.2.Market analysis, by country
  • 6.9.Others
    • 6.9.1.Market size and forecast
    • 6.9.2.Market analysis, by country

CHAPTER 7:ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER

  • 7.1.Overview
    • 7.1.1.Market size and forecast
  • 7.2.Healthcare providers
    • 7.2.1.Market size and forecast
    • 7.2.2.Market analysis, by country
  • 7.3.Pharmaceuticals & biotechnology companies
    • 7.3.1.Market size and forecast
    • 7.3.2.Market analysis, by country
  • 7.4.Patients
    • 7.4.1.Market size and forecast
    • 7.4.2.Market analysis, by country
  • 7.5.Payer
    • 7.5.1.Market size and forecast
    • 7.5.2.Market analysis, by country

CHAPTER 8:ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION

  • 8.1.Overview
    • 8.1.1.Market size and forecast
  • 8.2.North America
    • 8.2.1.Key market trends and opportunities
    • 8.2.2.Market size and forecast, by country
    • 8.2.3.Market size and forecast, by offering
    • 8.2.4.Market size and forecast, by algorithms
    • 8.2.5.Market size and forecast, by application
    • 8.2.6.Market size and forecast, by end user
    • 8.2.8.U.S.
      • 8.2.8.1.U.S. Market size and forecast, by offering
      • 8.2.8.2.U.S. Market size and forecast, by algorithms
      • 8.2.8.3.U.S. Market size and forecast, by application
      • 8.2.8.4.U.S. Market size and forecast, by end user
    • 8.2.9.Canada
      • 8.2.9.1.Canada Market size and forecast, by offering
      • 8.2.9.2.Canada Market size and forecast, by algorithms
      • 8.2.9.3.Canada Market size and forecast, by application
      • 8.2.9.4.Canada Market size and forecast, by end user
      • 8.2.9.5.Mexico Market size and forecast, by offering
      • 8.2.9.6.Mexico Market size and forecast, by algorithms
      • 8.2.9.7.Mexico Market size and forecast, by application
      • 8.2.9.8.Mexico Market size and forecast, by end user
  • 8.3.Europe
    • 8.3.1.Key market trends and opportunities
    • 8.3.2.Market size and forecast, by country
    • 8.3.3.Market size and forecast, by offering
    • 8.3.4.Market size and forecast, by algorithms
    • 8.3.5.Market size and forecast, by application
    • 8.3.6.Market size and forecast, by end user
      • 8.3.6.1.Germany Market size and forecast, by offering
      • 8.3.6.2.Germany Market size and forecast, by algorithms
      • 8.3.6.3.Germany Market size and forecast, by application
      • 8.3.6.4.Germany Market size and forecast, by end user
      • 8.3.6.5.France Market size and forecast, by offering
      • 8.3.6.6.France Market size and forecast, by algorithms
      • 8.3.6.7.France Market size and forecast, by application
      • 8.3.6.8.France Market size and forecast, by end user
      • 8.3.6.9.UK Market size and forecast, by offering
      • 8.3.6.10.UK Market size and forecast, by algorithms
      • 8.3.6.11.UK Market size and forecast, by application
      • 8.3.6.12.UK Market size and forecast, by end user
      • 8.3.6.13.Italy Market size and forecast, by offering
      • 8.3.6.14.Italy Market size and forecast, by algorithms
      • 8.3.6.15.Italy Market size and forecast, by application
      • 8.3.6.16.Italy Market size and forecast, by end user
      • 8.3.6.17.Spain Market size and forecast, by offering
      • 8.3.6.18.Spain Market size and forecast, by algorithms
      • 8.3.6.19.Spain Market size and forecast, by application
      • 8.3.6.20.Spain Market size and forecast, by end user
      • 8.3.6.21.Rest of Europe Market size and forecast, by offering
      • 8.3.6.22.Rest of Europe Market size and forecast, by algorithms
      • 8.3.6.23.Rest of Europe Market size and forecast, by application
      • 8.3.6.24.Rest of Europe Market size and forecast, by end user
  • 8.4.Asia-Pacific
    • 8.4.1.Key market trends and opportunities
    • 8.4.2.Market size and forecast, by offering
    • 8.4.3.Market size and forecast, by algorithms
    • 8.4.4.Market size and forecast, by application
    • 8.4.5.Market size and forecast, by end user
    • 8.4.6.Market size and forecast, by country
      • 8.4.6.1.Japan Market size and forecast, by offering
      • 8.4.6.2.Japan Market size and forecast, by algorithms
      • 8.4.6.3.Japan Market size and forecast, by application
      • 8.4.6.4.Japan Market size and forecast, by end user
      • 8.4.6.5.China Market size and forecast, by offering
      • 8.4.6.6.China Market size and forecast, by algorithms
      • 8.4.6.7.China Market size and forecast, by application
      • 8.4.6.8.China Market size and forecast, by end user
      • 8.4.6.9.Australia Market size and forecast, by offering
      • 8.4.6.10.Australia Market size and forecast, by algorithms
      • 8.4.6.11.Australia Market size and forecast, by application
      • 8.4.6.12.Australia Market size and forecast, by end user
      • 8.4.6.13.India Market size and forecast, by offering
      • 8.4.6.14.India Market size and forecast, by algorithms
      • 8.4.6.15.India Market size and forecast, by application
      • 8.4.6.16.India Market size and forecast, by end user
      • 8.4.6.17.South Korea Market size and forecast, by offering
      • 8.4.6.18.South Korea Market size and forecast, by algorithms
      • 8.4.6.19.South Korea Market size and forecast, by application
      • 8.4.6.20.South Korea Market size and forecast, by end user
      • 8.4.6.21.Taiwan Market size and forecast, by offering
      • 8.4.6.22.Taiwan Market size and forecast, by algorithms
      • 8.4.6.23.Taiwan Market size and forecast, by application
      • 8.4.6.24.Taiwan Market size and forecast, by end user
      • 8.4.6.25.Rest of Asia-Pacific Market size and forecast, by offering
      • 8.4.6.26.Rest of Asia-Pacific Market size and forecast, by algorithms
      • 8.4.6.27.Rest of Asia-Pacific Market size and forecast, by application
      • 8.4.6.28.Rest of Asia-Pacific Market size and forecast, by end user
  • 8.5.LAMEA
    • 8.5.1.Key market trends and opportunities
    • 8.5.2.Market size and forecast, by offering
    • 8.5.3.Market size and forecast, by algorithms
    • 8.5.4.Market size and forecast, by application
    • 8.5.5.Market size and forecast, by end user
    • 8.5.6.Market size and forecast, by country
      • 8.5.6.1.Brazil Market size and forecast, by offering
      • 8.5.6.2.Brazil Market size and forecast, by algorithms
      • 8.5.6.3.Brazil Market size and forecast, by application
      • 8.5.6.4.Brazil Market size and forecast, by end user
      • 8.5.6.5.Saudi Arabia Market size and forecast, by offering
      • 8.5.6.6.Saudi Arabia Market size and forecast, by algorithms
      • 8.5.6.7.Saudi Arabia Market size and forecast, by application
      • 8.5.6.8.Saudi Arabia Market size and forecast, by end user
      • 8.5.6.9.South Africa Market size and forecast, by offering
      • 8.5.6.10.South Africa Market size and forecast, by algorithms
      • 8.5.6.11.South Africa Market size and forecast, by application
      • 8.5.6.12.South Africa Market size and forecast, by end user
      • 8.5.6.13.Rest of LAMEA Market size and forecast, by offering
      • 8.5.6.14.Rest of LAMEA Market size and forecast, by algorithms
      • 8.5.6.15.Rest of LAMEA Market size and forecast, by application
      • 8.5.6.16.Rest of LAMEA Market size and forecast, by end user

CHAPTER 9:COMPANY PROFILES

  • 9.1.Alphabet Inc. (Google Inc.)
    • 9.1.1.Company overview
    • 9.1.1.Company snapshot
    • 9.1.2.Operating business segments
    • 9.1.3.Product portfolio
    • 9.1.4.Business performance
  • 9.2.Enlitic Inc.
    • 9.2.1.Company overview
    • 9.2.2.Company snapshot
    • 9.2.3.Product portfolio
    • 9.2.4.Key strategic moves and developments
  • 9.3.General Vision
    • 9.3.1.Company overview
    • 9.3.2.Company snapshot
    • 9.3.3.Operating business segments
    • 9.3.4.Product portfolio
    • 9.3.5.Key strategic moves and developments
  • 9.4.iCarbonX
    • 9.4.1.Company overview
    • 9.4.2.Company snapshot
    • 9.4.3.Product portfolio
  • 9.5.Intel Corporation
    • 9.5.1.Company overview
    • 9.5.2.Company snapshot
    • 9.5.3.Operating business segments
    • 9.5.4.Product portfolio
    • 9.5.5.Business performance
    • 9.5.6.Key strategic moves and developments
  • 9.6.IBM Corporation
    • 9.6.1.Company overview
    • 9.6.2.Company snapshot
    • 9.6.3.Operating business segments
    • 9.6.4.Product portfolio
    • 9.6.5.Business performance
    • 9.6.6.Key strategic moves and developments
  • 9.7.Microsoft Corporation
    • 9.7.1.Company overview
    • 9.7.2.Company snapshot
    • 9.7.3.Operating business segments
    • 9.7.4.Product portfolio
    • 9.7.5.Business performance
    • 9.7.6.Key strategic moves and developments
  • 9.8.Nvidia Corporation
    • 9.8.1.Company overview
    • 9.8.2.Company snapshot
    • 9.8.3.Operating business segments
    • 9.8.4.Product portfolio
    • 9.8.5.Business performance
    • 9.8.6.Key strategic moves and developments
  • 9.9.Next IT Corp.
    • 9.9.1.Company overview
    • 9.9.2.Company snapshot
    • 9.9.3.Operating business segments
    • 9.9.4.Product portfolio
  • 9.10.Welltok Inc.
    • 9.10.1.Company overview
    • 9.10.2.Company snapshot
    • 9.10.3.Operating business segments
    • 9.10.4.Product portfolio
    • 9.10.5.Key strategic moves and developments