Middle East and Africa Artificial Intelligence (AI) in Healthcare Market Key Players by 2027

Historic Data: 2017-2018   |   Base Year: 2019   |   Forecast Period: 2020-2027

Middle East and Africa Artificial Intelligence (AI) in Healthcare Market Forecast to 2027 - COVID-19 Impact and Regional Analysis By Component (Software Solution, Hardware, and Services), Application (Robot Assisted Surgery, Virtual Assistants, Administrative Workflow Assistants, Connected Machines, Diagnosis, Clinical Trials, Fraud Detection, Cybersecurity, Dosage Error Reduction, and Others), and End User (Hospitals & Healthcare Providers, Patients, Pharma & Biotech Companies, Healthcare Payers, and Others)

  • Report Date : Apr 2021
  • Report Code : TIPRE00021060
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • Available Report Formats : pdf-format excel-format
  • No. of Pages : 183
Page Updated: Apr 2021

The Middle East and Africa Artificial Intelligence (AI) in healthcare market is expected to reach US$ 5,713.28 million by 2027 from US$ 222.03 million in 2019; it is estimated to grow at a CAGR of 48.8% from 2020 to 2027.



The growth of the market is attributed to the driving factors such as rising application of artificial intelligence (AI) in healthcare market, growing investment in AI healthcare start-ups, and increasing cross-industry partnerships and collaborations. However, dearth of skilled AI workforce and imprecise regulatory guidelines for medical software hinder the market growth.

Artificial intelligence (AI) in healthcare sector is intended to considerably change clinicians' roles and everyday practices by accomplishing and analyzing data, make decisions, and conduct discussions. AI application in healthcare is getting progressively sophisticated, efficient, and quicker at a lower cost. Owing to the tremendous potential of AI and robotics in healthcare sector, they are gradually becoming a major part of the healthcare ecosystem. According to a CB Insights Report in 2020, ~86% of the healthcare providers, life science companies, and technology vendors depend on artificial intelligence technologies. Several healthcare providers are starting to offload certain parts of the care-pathways to artificial intelligence (AI) based automation. Also, numerous start-ups are developing AI-driven imaging and diagnostic solutions that are accountable for the growth of the market. Artificial Intelligence (AI) is applied to aid cancer diagnosis and prognosis, imaging systems, and help reorganize the drug discovery and drug repurposing procedures. Therefore, a significant increase in the number of artificial intelligence start-ups in the healthcare sector is anticipated to positively influence the market growth during the forecast period.

The socio-economic condition of countries in the Middle East are widely affected by the COVID–19 pandemic. The UAE has employed artificial intelligence and smart solutions to battle the spread of COVID-19. For instance, in February 2021, two UAE-based health companies entered a partnership with Canada’s Laipac Technology to launch the world’s first artificial intelligence (AI)-powered rapid COVID-19 antigen test. However, it is expected that until the availability of vaccines in the regional governments, the challenges are supposed to continue for the market.

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  • This FREE sample will include data analysis, ranging from market trends to estimates and forecasts.

Middle East and Africa Artificial Intelligence (AI) in Healthcare Market Segmentation

By Component

  • Software Solution
  • Hardware
  • Services

By Application

  • Robot Assisted Surgery
  • Virtual Assistants
  • Administrative Workflow Assistants
  • Connected Machines
  • Diagnosis
  • Clinical Trials
  • Fraud Detection
  • Cybersecurity
  • Dosage Error Reduction
  • Other

By Country

  • Hospitals and Healthcare Providers
  • Patients
  • Pharma and Biotech Companies
  • Healthcare Payers
  • Others

By Country

  • Saudi Arabia
  • UAE
  • South Africa
  • Rest of Middle East and Africa

Company Profiles

  • Alphabet Inc.
  • General Electric Company
  • Intel Corporation
  • Koninklijke Philips N.V
  • Microsoft Corporation
  • NVIDIA CORPORATION
  • Nuance Communications, Inc
  • Siemens Healthineers AG
  • Arterys Inc
  • Johnson and Johnson Services, Inc.

Middle East and Africa Artificial Intelligence (AI) in Healthcare Report Scope

Report Attribute Details
Market size in 2019 US$ 222.03 Million
Market Size by 2027 US$ 5,713.28 Million
Global CAGR (2020 - 2027) 48.8%
Historical Data 2017-2018
Forecast period 2020-2027
Segments Covered By Component
  • Software Solution
  • Hardware
  • Services
By Application
  • Robot Assisted Surgery
  • Virtual Assistants
  • Administrative Workflow Assistants
  • Connected Machines
  • Diagnosis
  • Clinical Trials
  • Fraud Detection
  • Cybersecurity
  • Dosage Error Reduction
By End User
  • Hospitals & Healthcare Providers
  • Patients
  • Pharma & Biotech Companies
  • Healthcare Payers
Regions and Countries Covered Middle East and Africa
  • South Africa
  • Saudi Arabia
  • UAE
  • Rest of Middle East and Africa
Market leaders and key company profiles
  • General Electric Company
  • Alphabet Inc.
  • Intel Corporation
  • Koninklijke Philips N.V
  • Microsoft Corporation
  • NVIDIA CORPORATION
  • Nuance Communications, Inc
  • Siemens Healthineers AG
  • Arterys Inc
  • Ankita Mittal
    Manager,
    Market Research & Consulting

    Ankita is a dynamic market research and consulting professional with over 8 years of experience across the technology, media, ICT, and electronics & semiconductor sectors. She has successfully led and delivered 100+ consulting and research assignments for global clients such as Microsoft, Oracle, NEC Corporation, SAP, KPMG, and Expeditors International. Her core competencies include market assessment, data analysis, forecasting, strategy formulation, competitive intelligence, and report writing.

    Ankita is adept at handling complete project cycles—from pre-sales proposal design and client discussions to post-sales delivery of actionable insights. She is skilled in managing cross-functional teams, structuring complex research modules, and aligning solutions with client-specific business goals. Her excellent communication, leadership, and presentation abilities have enabled her to consistently deliver value-driven outcomes in fast-paced and evolving market environments.

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