Market Research Report

Global Causal Artificial Intelligence (AI) Market Research Report: Forecast (2023-2028)

By Offering (Deployment (Platform), Cloud, On-Premise, Services, Consulting Services, Deployment & Integration, Training, Support, and Maintenance), By End-User (BFSI, Healthcare a...nd Life Sciences, Retail and E-commerce, Transportation and Logistics, Manufacturing, Others), By Region (North America, South America, Europe, The Middle East & Africa, Asia-Pacific), By Company (IBM Corporation, Microsoft Corporation, Amazon Web Services, Causality Link, Aitia, DataRobot, Inc., causaLens, Google Corporation, H2O.ai, Dynatrace, Cognizant, Geminos, Cognino.ai, Omnics Data Automation, Logility and Others) Read more

  • ICT & Electronics
  • Jun 2023
  • 180
  • IT77053

Market Definition

Causal Artificial Intelligence (AI) is a branch of AI that focuses on understanding & modeling causal relationships between variables or events. Unlike traditional AI methods, which are focused mainly on correlational relationships, causal AI involves techniques & methodologies that enable the identification, estimation, and analysis of causal relationships within complex systems.

Market Insights & Analysis: Global Causal Artificial Intelligence (AI) Market (2023-28)

The Global Causal Artificial Intelligence (AI) Market is still emerging and is anticipated to grow at a CAGR of around 38.46% during the forecast period, i.e., 2023-28. The growth of the market would be propelled mainly by the rising demand for interpretable AI, significant advancements in AI & ML (Machine Learning), and the growing availability of large-scale & diverse datasets. Besides, the increasing number of industry-specific AI applications and the constant need for regulations & compliance in BFSI, healthcare, & legal sectors are other prominent aspects projected to drive the market in the future.

Report Coverage Details
Study Period Historical Data: 2018-21
Base Year: 2022
Forecast Period: 2023-28
CAGR (2023-2028) 38.46%
Regions Covered North America: US, Canada, Mexico
Europe: Germany, The UK, France, Spain, Italy, Rest of Europe
Asia-Pacific: China, India, Japan, South Korea, Australia, Rest of Asia-Pacific
South America: Brazil, Argentina, Rest of South America
Middle East & Africa: UAE, Saudi Arabia, South Africa, Rest of MEA
Key Companies Profiled IBM Corporation, Microsoft Corporation, Amazon Web Services, Causality Link, Aitia, DataRobot, Inc., causaLens, Google Corporation, H2O.ai, Dynatrace, Cognizant, Geminos, Cognino.ai, Omnics Data Automation, Logility and Others
Unit Denominations USD Million/Billion

 

Continuous advancements in AI and machine learning algorithms, as well as improvements in computing power and data availability, are enabling researchers & data scientists to develop & apply causal AI models more effectively and identify causal relationships within complex systems while making more accurate predictions & decisions. More & more industries are recognizing the potential of causal AI in addressing specific challenges and improving decision-making processes. In the healthcare sector, causal AI holds promise to identify risk factors, determine the effectiveness of treatments, and personalize patient care. Whereas in the BFSI industry, it can assist in risk assessment, portfolio optimization, and fraud detection.

Moreover, the increasing availability of large-scale & diverse datasets, coupled with significant improvements in data collection & storage, are also boding well for market growth by enhancing the effectiveness of causal AI models. Furthermore, ongoing research & academic contributions are also playing a crucial role in the development of new algorithms, methodologies, & applications for causal AI. Hence, these aspects are set to drive the Global Causal Artificial Intelligence (AI) Market through 2028.

Global Causal Artificial Intelligence (AI) Market Driver

Rapidly Growing Demand for Explainable AI - AI is becoming increasingly prevalent & crucial in several industries, owing to which there's a mounting demand for AI solutions that offer transparent & interpretable results. Causal AI has an immense potential to provide explanations for relationships & causal factors behind AI predictions & decisions, i.e., crucial in industries like healthcare, BFSI, and legal domains where trust, accountability, & regulatory compliance are critical. Hence, its ability to help understand the cause-and-effect relationships between variables is the most prominent driver for the Global Causal Artificial Intelligence (AI) Market.


Global Causal Artificial Intelligence (AI) Market Research Report: Forecast (2023-2028)

Global Causal Artificial Intelligence (AI) Market Growth Restraint

Challenges Associated with Data Availability & Quality - Causal AI extensively relies on comprehensive & high-quality data for accurately identifying causal relationships. In several domains, it is challenging to obtain large-scale, diverse, & reliable data, and there are issues related to data quality, like missing or biased data, which can hinder the development & effectiveness of causal AI models. Hence, insufficient or low-quality data that can result in inaccurate or biased causal inferences can limit the practical applications & adoption of causal AI, i.e., the major growth restraint for the Global Causal Artificial Intelligence (AI) Market.

Global Causal Artificial Intelligence (AI) Market (2023-28): Segmentation Analysis

The Global Causal Artificial Intelligence (AI) Market study from MarkNtel Advisors analyzes the major trends in each sub-segment and includes predictions for the period 2023–28 at the global, regional, and national levels. The market has been segmented in our analysis based on grade & application.

Based on Offering:

  • Deployment (Platform)
    • Cloud
    • On-Premise
  • Services
    • Consulting Services
    • Deployment & Integration
    • Training, Support, & Maintenance

Of them all, cloud-based solutions are projected to gain traction in the Global Causal Artificial Intelligence (AI) Market during 2023-28. These solutions can provide organizations with scalable, flexible, & accessible infrastructure to deploy & utilize causal AI solutions. Since causal AI often requires significant computing resources to process large datasets and perform complex analyses, cloud-based deployment can enable organizations to leverage the scalability & elasticity of the cloud infrastructure to handle varying workloads while accommodating the growing data volumes.

Moreover, cloud-based solutions also offer cost-effectiveness as organizations can leverage cloud services on a pay-as-you-go model instead of investing in & maintaining expensive on-premises infrastructure, thereby reducing upfront capital expenditure. Cloud providers offer an extensive range of pricing models & services through which organizations can optimize costs based on their specific requirements. Hence, in view of these aspects, cloud-based solutions are likely to acquire a considerable share of the Global Causal Artificial Intelligence (AI) Market over the years to come.

Based on End-User:

  • BFSI
  • Healthcare & Life Sciences
  • Retail & E-Commerce
  • Transportation & Logistics
  • Manufacturing

Here, the healthcare & life sciences industry is projected to acquire a notable market share during 2023-28. Causal AI has significant potential in this sector due to its ability to identify causal relationships between genetic, environmental, & lifestyle factors and specific diseases while providing valuable insights into complex biological systems, disease mechanisms, & treatment effectiveness. By analyzing large-scale datasets and considering these relationships, healthcare providers can personalize treatment plans & interventions for individual patients based on their unique risk factors & characteristics.

In addition, Causal AI can help accelerate the drug discovery process by identifying causal relationships between molecular targets, disease pathways, and potential therapeutic compounds. By understanding the underlying mechanisms of diseases, researchers can thus prioritize drug candidates, optimize clinical trial design, and enhance the efficiency of drug development pipelines.

Moreover, causal AI can further support clinical decision-making by analyzing patient data, treatment outcomes, and medical literature to identify causal relationships between interventions & health outcomes, which can help healthcare providers select the most effective treatment strategies, predict patient responses, & improve patient outcomes.

Furthermore, it can also contribute to identifying causal factors & risk factors associated with diseases, wherein healthcare professionals can develop proactive preventive strategies & early detection methods for diseases like cancer, cardiovascular conditions, & infectious diseases. Hence, these aspects cite an immense potential of causal AI in healthcare & life sciences, which would spur growth in the Global Causal Artificial Intelligence (AI) Market over the coming years.

Global Causal Artificial Intelligence (AI) Market Regional Projection:

  • North America
  • South America
  • Europe
  • Middle East & Africa
  • Asia-Pacific

Of all regions, North America, specifically the US, currently holds a prominent share of the Causal Artificial Intelligence (AI) Market, mainly contributed by technology giants, academic institutions, & research organizations, which are actively involved in advancing the field of causal AI and conduct cutting-edge research in AI algorithms, causal inference, and related areas.

North America is home to some of the world's largest & most influential tech companies, many of which are massively investing in AI R&D and have dedicated AI research divisions & initiatives. It also has a thriving startup ecosystem, in which many companies are focused on AI and machine learning, including causal AI, and contribute to the development of new algorithms, tools, & applications in the causal AI domain.

Several venture capital firms & investors are supporting startups and research projects to drive innovations and, in turn, boost the regional market in the future. The growing integration of causal AI in various industries like healthcare, BFSI, marketing, & logistics also cites lucrative prospects for the market in the coming years as companies participating in these sectors leverage causal AI to gain insights, make informed decisions, & improve operational efficiency. Hence, these aspects indicate a significant share of North America in the Causal Artificial Intelligence (AI) Market globally.

Global Causal Artificial Intelligence (AI) Market Recent Developments:

  • On 23 May 2023, DataRobot Inc., the leader in Value-Driven AI, announced a partnership with Microsoft to accelerate AI adoption in the enterprise, which will include integrations with Microsoft Azure OpenAI Service, Azure Machine Learning, and Azure Kubernetes Service (AKS), to enable data scientists to use LLMs (Large Language Models) to assist with writing code.
  • On 20 March 2023, Bayesia, a pioneer in Bayesian networks, and Causality Link, a financial information technology provider and leader in extracting causal links from text, announced entering into a strategic partnership agreement to bring together their respective expertise and provide a new level of insight for financial decision-makers.
  • On 24 January 2023, causaLens, a London-based deep tech company and pioneer of Causal AI, launched decisionOS, the first operating system using cause-and-effect reasoning for all aspects of an enterprise's decision-making.
  • On 15 February 2023, Dynatrace unveiled a new UX for its Software Intelligence Platform, featuring powerful dashboarding capabilities and a visual interface. This UX powers Dynatrace Notebooks, a new interactive document capability that allows teams to collaborate using code, text, & rich media to build, evaluate, & share insights from exploratory, causal-AI-based analytics projects.

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Frequently Asked Questions

   A. The Causal Artificial Intelligence (AI) Market is forecast to grow at a CAGR of around 38.46% during 2023-28

   A. The burgeoning demand for Explainable AI is the prime aspect expected to drive the Causal Artificial Intelligence (AI) Market during 2023-28.

   A. IBM Corporation, Microsoft Corporation, Amazon Web Services, Causality Link, Aitia, DataRobot, Inc., causaLens, Google Corporation, H2O.ai, Dynatrace, Cognizant, Geminos, Cognino.ai, Omnics Data Automation, and Logility are the key players operating in the Causal Artificial Intelligence (AI) Market.

   A. Various challenges associated with data availability & quality are the major growth restraints for the Causal Artificial Intelligence (AI) Market in the coming years.

   A. The healthcare & life sciences sector would create lucrative prospects for the leading participants in the Causal Artificial Intelligence (AI) Market through 2028.

   A. North America would continue providing profitable opportunities to the Causal Artificial Intelligence (AI) Market over the forecast years.

Global Causal Artificial Intelligence (AI) Market Research Report (2023-2028) - Table of Contents

 

  1. Market Segmentation
  2. Introduction
    1. Product Definition
    2. Research Process
    3. Assumptions
  3. Executive Summary
  4. Global Causal Artificial Intelligence (AI) Market Regulations and Policy
  5. Global Causal Artificial Intelligence (AI) Market Trends & Developments
  6. Global Causal Artificial Intelligence (AI) Market Dynamics
    1. Drivers
    2. Challenges
  7. Global Causal Artificial Intelligence (AI) Market Hotspot & Opportunities
  8. Global Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
    1. Market Size & Analysis
      1. By Revenues (USD Million)
    2. Market Share & Analysis
      1. By Offering
        1. Deployment (Platform) - Market Size & Forecast 2018-2028, (USD Million)
          1. Cloud - Market Size & Forecast 2018-2028, (USD Million)
          2. On-Premise - Market Size & Forecast 2018-2028, (USD Million)
        2. Services - Market Size & Forecast 2018-2028, (USD Million)
          1. Consulting Services
          2. Deployment & Integration
          3. Training, Support, and Maintenance
      2. By End-User
        1. BFSI- Market Size & Forecast 2018-2028, (USD Million)
        2. Healthcare and Life Sciences- Market Size & Forecast 2018-2028, (USD Million)
        3. Retail and E-commerce- Market Size & Forecast 2018-2028, (USD Million)
        4. Transportation and Logistics- Market Size & Forecast 2018-2028, (USD Million)
        5. Manufacturing- Market Size & Forecast 2018-2028, (USD Million)
        6. Others-- Market Size & Forecast 2018-2028, (USD Million)
      3. By Region
        1. North America
        2. South America
        3. Europe
        4. The Middle East & Africa
        5. Asia-Pacific
      4. By Company
        1. Market Share
        2. Competition Characteristics
  9. North America Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
    1. Market Size & Analysis
      1. By Revenues (USD Million)
    2. Market Share & Analysis
      1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
      2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
      3. By Country
        1. The US
        2. Canada
        3. Mexico
    3. The US Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
    4. Canada Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
    5. Mexico Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
  10. South America Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
    1. Market Size & Analysis
      1. By Revenues (USD Million)
    2. Market Share & Analysis
      1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
      2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
      3. By Country
        1. Brazil
        2. Argentina
        3. Rest of South America
    3. Brazil Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
    4. Argentina Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
  11. Europe Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
    1. Market Size & Analysis
      1. By Revenues (USD Million)
    2. Market Share & Analysis
      1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
      2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
      3. By Country
        1. Germany
        2. The UK
        3. France
        4. Italy
        5. Spain
        6. Rest of Europe
    3. Germany Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
    4. The UK Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
    5. France Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
    6. Italy Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
    7. Spain Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
  12. The Middle East and Africa Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
    1. Market Size & Analysis
      1. By Revenues (USD Million)
    2. Market Share & Analysis
      1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
      2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
        1. South Africa
        2. The UAE
        3. Saudi Arabia
        4. Rest of Middle East & Africa
    3. South Africa Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
    4. The UAE Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
    5. Saudi Arabia Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
  13. Asia-Pacific Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
    1. Market Size & Analysis
      1. By Revenues (USD Million)
    2. Market Share & Analysis
      1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
      2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
      3. By Country
        1. China
        2. Japan
        3. Australia
        4. India
        5. South Korea
        6. Rest of Asia Pacific
    3. China Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
    4. Japan Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
    5. Australia Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
    6. India Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
    7. South Korea Causal Artificial Intelligence (AI) Market Outlook, 2018-2028F
      1. Market Size & Analysis
        1. By Revenues (USD Million)
      2. Market Share & Analysis
        1. By Offering- Market Size & Forecast 2018-2028, (USD Million)
        2. By End-User- Market Size & Forecast 2018-2028, (USD Million)
  14. Competitive Outlook
    1. Company Profiles 
      1. IBM Corporation
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      2. Microsoft Corporation
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      3.  Amazon Web Services
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      4. Causality Link
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      5. Aitia
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      6. Data Robot
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      7. Causalens
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      8. Google Corporation
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      9. H2O. AI
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      10. Dynatrace
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      11. Cognizant
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      12. Geminos
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      13. Cognino. AI
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      14. Omnics Data Automation
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      15. Logility
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      16. Others
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
  15. Disclaimer

 


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