Market by Solution, Technology, Type, Industry Vertical, and Country Outlook | Forecast 2024-2032
According to Triton’s report, the Middle East and Africa artificial intelligence (AI) in healthcare market is projected to advance with a compound annual growth rate of 37.42% over the forecast years 2024-2032.
The countries in this region include:
• United Arab Emirates
• Turkey
• Saudi
Arabia
• South
Africa
• Rest of the Middle East & Africa
The healthcare industry in the
Middle East and Africa is experiencing significant expansion, attributed to
heightened investments from both private and governmental bodies, alongside the
proliferation of startups. Notably, partnerships such as the Microsoft and
Roche collaboration in 2022 in the Middle East exemplify this trend, harnessing
AI and cloud solutions to enhance patient outcomes. Their joint efforts are
directed towards enabling healthcare providers to swiftly incorporate advanced
diagnostic tools through the utilization of AI and cloud technologies.
The United Arab Emirates captures the majority of the shares in
the AI in healthcare market. Recent initiatives in AI within the healthcare sector have
showcased promising advancements. One notable development is the introduction
of Medopad, a sophisticated application by the Ministry of Health and
Prevention. Medopad functions as a smart tool, continuously monitoring and
analyzing patient data to forecast potentially life-threatening medical
conditions. This proactive approach enables the delivery of timely healthcare
services.
Additionally, collaboration
between the Dubai Health Authority and Agfa Healthcare has led to the
integration of AI-enabled workflows in medical imaging, particularly enhancing
the diagnosis of tuberculosis. Furthermore, robotics is emerging as a valuable
asset in healthcare, with the adoption of robotic-assisted surgeries and
automated pharmacy systems offering promising prospects for the market.
Artificial intelligence (AI) plays
a crucial role in robot-assisted surgery, enhancing multiple facets of the
surgical process. AI-driven surgical robots facilitate precise manipulation and
positioning of surgical instruments, enabling surgeons to concentrate on the
procedure itself. This minimizes fluctuations during surgery, enhances surgical
skills, and consequently improves patient outcomes while lowering healthcare
costs.
The market’s growth is assessed based on type, industry
vertical, technology, and solution. Based on type, it is sub-segmented
into robot-assisted surgery, dosage error reduction, clinical trial participant
identifier, virtual nursing assistant, fraud detection, preliminary diagnosis,
administrative workflow assistance, and other types.
The key companies in the market comprise IBM Corporation, General
Vision Inc, Google LLC, and Intel Corporation.
IBM, officially known as International Business Machines Corp, is
a prominent provider of information technology solutions globally. Its
offerings encompass a wide array of system hardware, software, and services
catering to various industries. IBM’s diverse product portfolio spans
analytics, artificial intelligence, automation, blockchain, cloud computing,
etc. In addition to product offerings, IBM provides services, including cloud
computing, networking, security, technology consulting, application services,
business resilience, and technology support. With operations spanning the
Americas, Europe, the Middle East and Africa, and Asia-Pacific, IBM is
headquartered in the US.
KEY DELIVERABLES OF THE REPORT:
●
Market CAGR during the forecasting years 2024-2032
●
Detailed data highlighting key insights, industry components, and
market strategies
●
Comprehensive information and estimation of the artificial intelligence (AI) in healthcare market revenue growth in the Middle East and Africa and
its influence on the parent market
●
In-depth study of forthcoming trends in consumer behavioral
patterns
●
A meticulous analysis of the competitive landscape and Porter’s
Five Forces
●
A wide-ranging study of factors that will challenge the Middle
East and Africa artificial
intelligence (AI) in healthcare market’s growth
during the upcoming years
Want to get specific insights? Our team of
analysts can customize this report based on your preferences. Connect with us here.
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VIEW REPORT1. MIDDLE
EAST AND AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - SUMMARY
2. INDUSTRY
OUTLOOK
2.1. PORTER’S
FIVE FORCES ANALYSIS
2.1.1. BUYERS
POWER
2.1.2. SUPPLIERS
POWER
2.1.3. SUBSTITUTION
2.1.4. NEW
ENTRANTS
2.1.5. INDUSTRY
RIVALRY
2.2. MARKET
MATURITY ANALYSIS
2.3. VALUE
CHAIN ANALYSIS
2.3.1. DATA
WAREHOUSE
2.3.2. ARTIFICIAL
INTELLIGENCE (AI) ANALYSIS
2.3.3. SOFTWARE
DEVELOPMENT
2.4. KEY
BUYING CRITERIA
2.4.1. APPLICATION
2.4.2. TECHNOLOGY
2.4.3. INTEGRATION
WITH EXISTING INFRASTRUCTURE
2.5. REGULATORY
FRAMEWORK
2.6. KEY
MARKET STRATEGIES
2.6.1. ACQUISITIONS
2.6.2. PRODUCT
LAUNCHES
2.6.3. COLLABORATIONS
2.7. MARKET
DRIVERS
2.7.1. ADOPTION
OF AI BEING SUPPORTED BY LARGE VOLUMES OF HEALTHCARE DATA
2.7.2. PERSONALIZED
MEDICINE IN TESTS FOR CLINICAL DECISION-MAKING
2.7.3. INCREASING
START-UPS IN AI AND MACHINE LEARNING
2.8. MARKET
CHALLENGES
2.8.1. COST
CONSTRAINTS AND A LOW RETURN ON INVESTMENT (ROI)
2.8.2. CHALLENGES
IN SUSTAINING DATA SECURITY
2.8.3. SLOW
ADOPTION OF AI-BASED TECHNOLOGIES
2.9. MARKET
OPPORTUNITIES
2.9.1. EXPANDING
APPLICATIONS OF AI IN THE HEALTHCARE INDUSTRY
2.9.2. RISING
DEMAND FOR AI IN DRUG DISCOVERY
2.9.3. STRONG
FOCUS ON THE DEVELOPMENT OF PRECISION MEDICINE AND PERSONALIZED DRUGS
2.9.4. AI
USED TO ESTABLISH A REAL-TIME MONITORING SYSTEM
2.10. ANALYST
PERSPECTIVE
3. MIDDLE
EAST AND AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - BY SOLUTION
3.1. SOFTWARE
3.2. SERVICES
3.3. HARDWARE
4. MIDDLE
EAST AND AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - BY
TECHNOLOGY
4.1. NATURAL
LANGUAGE PROCESSING
4.2. QUERYING
METHOD
4.3. CONTEXT
AWARE PROCESSING
4.4. DEEP
LEARNING
5. MIDDLE
EAST AND AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - BY TYPE
5.1. ROBOT-ASSISTED
SURGERY
5.2. VIRTUAL
NURSING ASSISTANT
5.3. ADMINISTRATIVE
WORKFLOW ASSISTANCE
5.4. FRAUD
DETECTION
5.5. DOSAGE
ERROR REDUCTION
5.6. CLINICAL
TRIAL PARTICIPANT IDENTIFIER
5.7. PRELIMINARY
DIAGNOSIS
5.8. OTHER TYPES
6. MIDDLE
EAST AND AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - BY INDUSTRY
VERTICAL
6.1. HEALTHCARE
PROVIDERS
6.2. PHARMACEUTICAL
AND BIOTECHNOLOGY COMPANIES
6.3. PAYERS
6.4. ACOS
AND MCOS
6.5. PATIENTS
7. MIDDLE
EAST AND AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET – BY COUNTRY
OUTLOOK
7.1. UNITED
ARAB EMIRATES
7.1.1. UNITED
ARAB EMIRATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST &
PROSPECT
7.2. SAUDI
ARABIA
7.2.1. SAUDI
ARABIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST &
PROSPECTS
7.3. TURKEY
7.3.1. TURKEY
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.4. SOUTH
AFRICA
7.4.1. SOUTH
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST &
PROSPECTS
7.5. REST
OF MIDDLE EAST & AFRICA
7.5.1. REST
OF MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET
FORECAST & PROSPECTS
8. COMPETITIVE
LANDSCAPE
8.1. GE
HEALTHCARE
8.1.1. OVERVIEW
8.1.2. PRODUCT
LIST
8.1.3. KEY
STRENGTHS
8.1.4. KEY
CHALLENGES
8.2. GENERAL
VISION INC
8.2.1. OVERVIEW
8.2.2. PRODUCT
LIST
8.3. GOOGLE
LLC
8.3.1. OVERVIEW
8.3.2. PRODUCT
LIST
8.3.3. KEY
STRENGTHS
8.3.4. KEY
CHALLENGES
8.4. IBM
CORPORATION
8.4.1. OVERVIEW
8.4.2. PRODUCT
LIST
8.4.3. KEY
STRENGTHS
8.4.4. KEY
CHALLENGES
8.5. INTEL
CORPORATION
8.5.1. OVERVIEW
8.5.2. PRODUCT
LIST
8.5.3. KEY
STRENGTHS
8.5.4. KEY
CHALLENGES
8.6. KONINKLIJKE
PHILIPS NV
8.6.1. COMPANY
OVERVIEW
8.6.2. PRODUCTS
8.6.3. KEY
STRENGTHS
8.6.4. KEY
CHALLENGES
8.7. MEDTRONIC
PLC
8.7.1. COMPANY
OVERVIEW
8.7.2. PRODUCT
LIST
8.7.3. KEY
STRENGTHS
8.7.4. KEY
CHALLENGES
8.8. MICROSOFT
CORPORATION
8.8.1. COMPANY
OVERVIEW
8.8.2. PRODUCT
LIST
8.8.3. KEY
STRENGTHS
8.8.4. KEY
CHALLENGES
8.9. NVIDIA
CORPORATION
8.9.1. OVERVIEW
8.9.2. PRODUCT
LIST
8.9.3. KEY
STRENGTHS
8.9.4. KEY
CHALLENGES
8.10. ONCORA
MEDICAL
8.10.1. OVERVIEW
8.10.2. PRODUCT
LIST
8.11. RECURSION
PHARMACEUTICALS INC
8.11.1. OVERVIEW
8.11.2. PRODUCTS
8.12. STRYKER
CORPORATION
8.12.1. OVERVIEW
8.12.2. PRODUCT
LIST
8.12.3. KEY
STRENGTHS
8.12.4. KEY
CHALLENGES
8.13. SIEMENS
HEALTHINEERS AG
8.13.1. OVERVIEW
8.13.2. PRODUCT
LIST
8.13.3. KEY STRENGTHS
8.13.4. KEY
CHALLENGES
9. RESEARCH
METHODOLOGY & SCOPE
9.1. RESEARCH
SCOPE & DELIVERABLES
9.1.1. OBJECTIVES
OF STUDY
9.1.2. SCOPE
OF STUDY
9.2. SOURCES
OF DATA
9.2.1. PRIMARY
DATA SOURCES
9.2.2. SECONDARY
DATA SOURCES
9.3. RESEARCH
METHODOLOGY
9.3.1. EVALUATION
OF PROPOSED MARKET
9.3.2. IDENTIFICATION
OF DATA SOURCES
9.3.3. ASSESSMENT
OF MARKET DETERMINANTS
9.3.4. DATA
COLLECTION
9.3.5. DATA
VALIDATION & ANALYSIS
TABLE 1: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK,
HISTORICAL YEARS, 2020-2023 (IN $ MILLION)
TABLE 2: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK,
FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 3: LIST OF ACQUISITIONS
TABLE 4: LIST OF PRODUCT
LAUNCHES
TABLE 5: LIST OF
COLLABORATIONS
TABLE 6: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOLUTION,
2024-2032 (IN $ MILLION)
TABLE 7: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY,
2024-2032 (IN $ MILLION)
TABLE 8: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TYPE, 2024-2032
(IN $ MILLION)
TABLE 9: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY INDUSTRY VERTICAL,
2024-2032 (IN $ MILLION)
TABLE 10: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK,
2024-2032 (IN $ MILLION)
FIGURE 1: PORTER’S FIVE FORCES
ANALYSIS
FIGURE 2: MARKET MATURITY
ANALYSIS
FIGURE 3: VALUE CHAIN ANALYSIS
FIGURE 4: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOLUTION, 2023
& 2032 (IN %)
FIGURE 5: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOFTWARE,
2024-2032 (IN $ MILLION)
FIGURE 6: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SERVICES,
2024-2032 (IN $ MILLION)
FIGURE 7: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY HARDWARE,
2024-2032 (IN $ MILLION)
FIGURE 8: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, 2023
& 2032 (IN %)
FIGURE 9: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY NATURAL LANGUAGE
PROCESSING, 2024-2032 (IN $ MILLION)
FIGURE 10: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY QUERYING METHOD,
2024-2032 (IN $ MILLION)
FIGURE 11: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY CONTEXT AWARE
PROCESSING, 2024-2032 (IN $ MILLION)
FIGURE 12: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY DEEP LEARNING,
2024-2032 (IN $ MILLION)
FIGURE 13: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TYPE, 2023 &
2032 (IN %)
FIGURE 14: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ROBOT-ASSISTED
SURGERY, 2024-2032 (IN $ MILLION)
FIGURE 15: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY VIRTUAL NURSING
ASSISTANT, 2024-2032 (IN $ MILLION)
FIGURE 16: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ADMINISTRATIVE
WORKFLOW ASSISTANCE, 2024-2032 (IN $ MILLION)
FIGURE 17: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY FRAUD DETECTION,
2024-2032 (IN $ MILLION)
FIGURE 18: MIDDLE EAST AND AFRICA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY DOSAGE ERROR REDUCTION,
2024-2032 (IN $ MILLION)
FIGURE 19: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY CLINICAL TRIAL
PARTICIPANT IDENTIFIER, 2024-2032 (IN $ MILLION)
FIGURE 20: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PRELIMINARY
DIAGNOSIS, 2024-2032 (IN $ MILLION)
FIGURE 21: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY OTHER TYPES,
2024-2032 (IN $ MILLION)
FIGURE 22: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY INDUSTRY VERTICAL,
2023 & 2032 (IN %)
FIGURE 23: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY HEALTHCARE
PROVIDERS, 2024-2032 (IN $ MILLION)
FIGURE 24: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PHARMACEUTICAL AND
BIOTECHNOLOGY COMPANIES, 2024-2032 (IN $ MILLION)
FIGURE 25: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PAYERS, 2024-2032
(IN $ MILLION)
FIGURE 26: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ACOS AND MCOS,
2024-2032 (IN $ MILLION)
FIGURE 27: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PATIENTS,
2024-2032 (IN $ MILLION)
FIGURE 28: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK,
2023 & 2032 (IN %)
FIGURE 29: UNITED ARAB
EMIRATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $
MILLION)
FIGURE 30: SAUDI ARABIA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 31: TURKEY ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 32: SOUTH AFRICA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 33: REST OF MIDDLE EAST
& AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $
MILLION)