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GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST 2024-2032

SCOPE OF THE REPORT

Germany Artificial Intelligence (AI) in Healthcare Market by Offering (Software, Services, Hardware) Market by Technology (Natural Language Processing, Querying Method, Context Aware Processing, Deep Learning) Market by End-user (Healthcare Providers, Pharmaceutical and Biotechnology Companies, Payers, Acos and Mcos, Patients) Market by Application (Robot-assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, Other Applications)


MARKET OVERVIEW

The Germany artificial intelligence (AI) in healthcare market is expected to progress with a CAGR of 36.00% over the forecast period of 2024-2032. Further, it is set to reach a revenue of $21121.85 million by 2032

The Germany artificial intelligence (AI) in healthcare market is undergoing a transformative revolution with a strong emphasis on advancing precision medicine and personalized drug development. This transformative shift denotes a modern approach to healthcare, with the integration of AI at the front line of optimizing medical treatments for individual patient needs. The strategic emphasis is altering traditional structures and advocating for a more personalized and efficient approach to medical interventions.

Germany Artificial Intelligence (AI) In Healthcare Market

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In accordance with precision medicine, there is a rise in the integration of AI in genetics within the Germany healthcare field. This surge signifies a fundamental step forward in the interpretation and understanding of genetic information. The increased use of AI in genetics expedites genetic research and accesses the potential for personalized healthcare strategies based on an individual’s unique genetic makeup. The correlation between AI and genetic analysis is propelling medical diagnostics and treatment modalities into a nuanced phase, marking a significant advancement in healthcare practices.

Furthermore, AI is important in establishing real-time monitoring systems within the Germany healthcare framework. These systems empower healthcare providers with the capability to monitor patient health in real-time, introducing a proactive and preventive approach to healthcare. By continuously tracking and analyzing data, AI-driven monitoring systems enable early detection and swift responses to health issues, thereby contributing to improved patient outcomes and overall healthcare efficiency.

However, the Germany artificial intelligence (AI) in healthcare market meets resistance, including the safeguarding of data security due to the dependence on sensitive patient information. Achieving a delicate equilibrium between leveraging the potential of AI and safeguarding patient privacy remains an ongoing challenge for the healthcare sector.

In addition to data security, the adoption of AI faces challenges related to cost constraints and achieving a satisfactory return on investment (ROI). Despite the evident benefits, organizations struggle with financial considerations and uncertainties surrounding the economic viability of implementing AI solutions. Addressing these hindrances is essential for realizing the full potential of AI in reforming the healthcare domain in Germany. 

The Germany artificial intelligence (AI) in healthcare market segmentation includes the market by offering, technology, end-user, and application. The end-user segment is further divided into payers and patients. Payers encompass insurance providers, government agencies, and other entities responsible for financing healthcare services. The integration of AI technologies in payer systems enhances efficiency, enhances administrative processes, and contributes to data-driven decision-making. Payers use AI to assess risks, optimize reimbursement procedures, and improve overall financial management within the healthcare domain.

On the other end, the patient sub-segment represents the individuals directly impacted by AI applications in healthcare. This sub-segment includes those receiving medical services, treatment, or care. AI technologies optimized for patients focus on personalized medicine, remote monitoring, and predictive analytics. These applications contribute to better patient outcomes, increased engagement in the healthcare process, and a proactive approach to preventive care. The patient-centric use of AI aligns with the goal of improving the overall quality and accessibility of healthcare services in Germany.

Some of the leading players in the Germany artificial intelligence (AI) in healthcare market are Siemens Healthineers, GE HealthCare, Google, IBM Corporation, Medtronic Plc, Intel Corporation, etc. 

Siemens Healthineers, a subsidiary of Siemens AG, is a global medical technology company based in Erlangen, Germany. It specializes in designing, developing, and distributing a range of diagnostic imaging systems, clinical solutions, and minimally invasive procedure systems. The company serves healthcare providers worldwide and offers products such as molecular imaging, point-of-care systems, and digital services.

REPORT SYNOPSIS

REPORT SCOPEDETAILS
Market Forecast Years2024-2032
Base Year2023
Market Historical Years2018-2022
Forecast Units

Revenue ($ Million)

Segments Analyzed
Offering, Technology, End-User, and Application
Countries AnalyzedGermany
Companies AnalyzedGE HealthCare, Google, IBM Corporation, Intel Corporation, Koninklijke Philips NV, Medtronic Plc, Microsoft Corporation, NVIDIA Corporation, Stryker Corporation, Siemens Healthineers

TABLE OF CONTENTS

  1. RESEARCH SCOPE & METHODOLOGY
    1. STUDY OBJECTIVES
    2. METHODOLOGY
    3. ASSUMPTIONS & LIMITATIONS
  2. EXECUTIVE SUMMARY
    1. MARKET SIZE & ESTIMATES
    2. COUNTRY SNAPSHOT
    3. COUNTRY ANALYSIS 
    4. SCOPE OF STUDY
    5. CRISIS SCENARIO ANALYSIS
    6. MAJOR MARKET FINDINGS
      1. SOFTWARE OFFERING IS LEADING THE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, DRIVING INNOVATION AND EFFICIENCY
      2. NATURAL LANGUAGE PROCESSING DOMINATING ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE TECHNOLOGY
      3. HEALTHCARE PROVIDERS ARE THE MAJOR USERS OF ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE
      4. DOSAGE ERROR REDUCTION IS THE FASTEST-GROWING APPLICATION
  3. MARKET DYNAMICS
    1. KEY DRIVERS
      1. LARGE VOLUMES OF HEALTHCARE DATA SUPPORTING THE ADOPTION OF AI
      2. GROWING NUMBER OF AI AND MACHINE LEARNING START-UPS
      3. EMERGENCE OF PERSONALIZED MEDICINE IN TESTS FOR CLINICAL DECISION-MAKING
      4. AI CREATING A REAL-TIME MONITORING SYSTEM
    2. KEY RESTRAINTS
      1. SLOW ADOPTION OF AI-BASED TECHNOLOGIES
      2. CHALLENGES IN MAINTAINING DATA SECURITY
      3. COST CONSTRAINTS AND LOW RETURN ON INVESTMENT (ROI)
  4. KEY ANALYTICS
    1. KEY MARKET TRENDS
      1. WIDENING APPLICATIONS OF AI IN THE HEALTHCARE INDUSTRY
      2. INCREASING DEMAND FOR AI IN DRUG DISCOVERY
      3. HIGH EMPHASIS ON THE DEVELOPMENT OF PRECISION MEDICINE AND PERSONALIZED DRUGS
      4. INCREASING USE OF AI IN GENETICS
      5. AI CREATING A REAL-TIME MONITORING SYSTEM
    2. PESTLE ANALYSIS
      1. POLITICAL
      2. ECONOMICAL
      3. SOCIAL
      4. TECHNOLOGICAL
      5. LEGAL
      6. ENVIRONMENTAL
    3. PORTER’S FIVE FORCES ANALYSIS
      1. BUYERS POWER
      2. SUPPLIERS POWER
      3. SUBSTITUTION
      4. NEW ENTRANTS
      5. INDUSTRY RIVALRY
    4. VALUE CHAIN ANALYSIS
      1. DATA WAREHOUSE
      2. ARTIFICIAL INTELLIGENCE (AI) ANALYSIS
      3. SOFTWARE DEVELOPMENT
    5. KEY BUYING CRITERIA
      1. APPLICATION
      2. TECHNOLOGY
      3. INTEGRATION WITH EXISTING INFRASTRUCTURE
  5. MARKET BY OFFERING
    1. SOFTWARE
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    2. SERVICES
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    3. HARDWARE
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
  6. MARKET BY TECHNOLOGY
    1. NATURAL LANGUAGE PROCESSING
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    2. QUERYING METHOD
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    3. CONTEXT AWARE PROCESSING
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    4. DEEP LEARNING
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
  7. MARKET BY END-USER
    1. HEALTHCARE PROVIDERS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    2. PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    3. PAYERS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    4. ACOS AND MCOS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    5. PATIENTS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
  8. MARKET BY APPLICATION
    1. ROBOT-ASSISTED SURGERY
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    2. VIRTUAL NURSING ASSISTANT
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    3. ADMINISTRATIVE WORKFLOW ASSISTANCE
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    4. FRAUD DETECTION
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    5. DOSAGE ERROR REDUCTION
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    6. CLINICAL TRIAL PARTICIPANT IDENTIFIER
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    7. PRELIMINARY DIAGNOSIS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    8. OTHER APPLICATIONS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
  9. COMPETITIVE LANDSCAPE
    1. KEY STRATEGIC DEVELOPMENTS
      1. MERGERS & ACQUISITIONS
      2. PRODUCT LAUNCHES & DEVELOPMENTS
      3. PARTNERSHIPS & AGREEMENTS
    2. COMPANY PROFILES
      1. GE HEALTHCARE
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      2. GOOGLE
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      3. IBM CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      4. INTEL CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      5. KONINKLIJKE PHILIPS NV
        1. COMPANY OVERVIEW
        2. PRODUCTS
        3. STRENGTHS & CHALLENGES
      6. MEDTRONIC PLC
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      7. MICROSOFT CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      8. NVIDIA CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      9. STRYKER CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      10. SIEMENS HEALTHINEERS
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES

LIST OF TABLES

TABLE 1: MARKET SNAPSHOT – ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE

TABLE 2: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY OFFERING, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 3: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY OFFERING, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 4: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 5: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 6: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY END-USER, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 7: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY END-USER, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 8: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY APPLICATION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 9: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY APPLICATION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 10: LIST OF MERGERS & ACQUISITIONS

TABLE 11: LIST OF PRODUCT LAUNCHES & DEVELOPMENTS

TABLE 12: LIST OF PARTNERSHIPS & AGREEMENTS

LIST OF FIGURES

FIGURE 1: KEY MARKET TRENDS

FIGURE 2: PORTER’S FIVE FORCES ANALYSIS

FIGURE 3: VALUE CHAIN ANALYSIS

FIGURE 4: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY OFFERING, IN 2023

FIGURE 5: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOFTWARE, 2024-2032 (IN $ MILLION)

FIGURE 6: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SERVICES, 2024-2032 (IN $ MILLION)

FIGURE 7: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY HARDWARE, 2024-2032 (IN $ MILLION)

FIGURE 8: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY TECHNOLOGY, IN 2023

FIGURE 9: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY NATURAL LANGUAGE PROCESSING, 2024-2032 (IN $ MILLION)

FIGURE 10: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY QUERYING METHOD, 2024-2032 (IN $ MILLION)

FIGURE 11: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY CONTEXT AWARE PROCESSING, 2024-2032 (IN $ MILLION)

FIGURE 12: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY DEEP LEARNING, 2024-2032 (IN $ MILLION)

FIGURE 13: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY END-USER, IN 2023

FIGURE 14: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY HEALTHCARE PROVIDERS, 2024-2032 (IN $ MILLION)

FIGURE 15: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES, 2024-2032 (IN $ MILLION)

FIGURE 16: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PAYERS, 2024-2032 (IN $ MILLION)

FIGURE 17: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ACOS AND MCOS, 2024-2032 (IN $ MILLION)

FIGURE 18: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PATIENTS, 2024-2032 (IN $ MILLION)

FIGURE 19: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY APPLICATION, IN 2023

FIGURE 20: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ROBOT-ASSISTED SURGERY, 2024-2032 (IN $ MILLION)

FIGURE 21: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY VIRTUAL NURSING ASSISTANT, 2024-2032 (IN $ MILLION)

FIGURE 22: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ADMINISTRATIVE WORKFLOW ASSISTANCE, 2024-2032 (IN $ MILLION)

FIGURE 23: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY FRAUD DETECTION, 2024-2032 (IN $ MILLION)

FIGURE 24: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY DOSAGE ERROR REDUCTION, 2024-2032 (IN $ MILLION)

FIGURE 25: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY CLINICAL TRIAL PARTICIPANT IDENTIFIER, 2024-2032 (IN $ MILLION)

FIGURE 26: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PRELIMINARY DIAGNOSIS, 2024-2032 (IN $ MILLION)

FIGURE 27: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY OTHER APPLICATIONS, 2024-2032 (IN $ MILLION)

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