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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
Pages 180
Report Format: PDF, Excel, PPT

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 (2023-2028) - Table of Contents

Market Segmentation
Introduction
1. Product Definition
2. Research Process
3. Assumptions
Executive Summary
Global Causal Artificial Intelligence (AI) Market Regulations and Policy
Global Causal Artificial Intelligence (AI) Market Trends & Developments
Global Causal Artificial Intelligence (AI) Market Dynamics
1. Drivers
2. Challenges
Global Causal Artificial Intelligence (AI) Market Hotspot & Opportunities
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
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)
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)
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)
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)
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)
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
Disclaimer

MarkNtel Advisors follows a robust and iterative research methodology designed to ensure maximum accuracy and minimize deviation in market estimates and forecasts. Our approach combines both bottom-up and top-down techniques to effectively segment and quantify various aspects of the market. A consistent feature across all our research reports is data triangulation, which examines the market from three distinct perspectives to validate findings. Key components of our research process include:

1. Scope & Research Design At the outset, MarkNtel Advisors define the research objectives and formulate pertinent questions. This phase involves determining the type of research—qualitative or quantitative—and designing a methodology that outlines data collection methods, target demographics, and analytical tools. They also establish timelines and budgets to ensure the research aligns with client goals.

2. Sample Selection and Data Collection In this stage, the firm identifies the target audience and determines the appropriate sample size to ensure representativeness. They employ various sampling methods, such as random or stratified sampling, based on the research objectives. Data collection is carried out using tools like surveys, interviews, and observations, ensuring the gathered data is reliable and relevant.

3. Data Analysis and Validation Once data is collected, MarkNtel Advisors undertake a rigorous analysis process. This includes cleaning the data to remove inconsistencies, employing statistical software for quantitative analysis, and thematic analysis for qualitative data. Validation steps are taken to ensure the accuracy and reliability of the findings, minimizing biases and errors.

4. Data Forecast and FinalizationThe final phase involves forecasting future market trends based on the analyzed data. MarkNtel Advisors utilize predictive modeling and time series analysis to anticipate market behaviors. The insights are then compiled into comprehensive reports, featuring visual aids like charts and graphs, and include strategic recommendations to inform client decision-making

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