Global Causal Artificial Intelligence (AI) Market to Grow at 38.46% CAGR by 2028

Market Overview:

MarkNtel Advisors has released a new report that highlights the strong growth trajectory of the Causal Artificial Intelligence (AI) Market, The Global Causal Artificial Intelligence (AI) Market is projected to grow at a CAGR of around 38.46% during the forecast period, i.e., 2023-28. Various factors are attributed to the growth of the market like growth in automobile production, growing focus on lightweight sustainable materials, rising demand for luxury customized interiors, increasing focus on safety standards, and the adoption of Advanced Driver Assistance Systems (ADAS). The report provides valuable insights into the drivers, trends, and challenges shaping the future of the Causal Artificial Intelligence (AI) Market. It offers an in-depth look at the key players, geographical performance, and the segments leading the charge in market share.

Industry Outlook Forecasts:

Forecast Period: 2023-2028
CAGR (2023-2028): 38.46%

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Global Causal Artificial Intelligence (AI) Market Segmentation Breakdown:

The Causal Artificial Intelligence (AI) Market explores the industry by emphasizing the growth parameters and categorizes including geographical segmentation, to offer a comprehensive understanding of the market dynamic. The further bifurcations are as follows:

By Offering
- Deployment (Platform) - Market Size Forecast 2018-2028, (USD Million)
  - Cloud - Market Size Forecast 2018-2028, (USD Million)
  - On-Premise - Market Size Forecast 2018-2028, (USD Million)
- Services - Market Size Forecast 2018-2028, (USD Million)
  - Consulting Services
  - Deployment Integration
  - Training, Support, and Maintenance
- By End-User
  - BFSI- Market Size Forecast 2018-2028, (USD Million)
  - Healthcare and Life Sciences- Market Size Forecast 2018-2028, (USD Million)
  - Retail and E-commerce- Market Size Forecast 2018-2028, (USD Million)
  - Transportation and Logistics- Market Size Forecast 2018-2028, (USD Million)
  - Manufacturing- Market Size Forecast 2018-2028, (USD Million)
  - Others-- Market Size Forecast 2018-2028, (USD Million)

Geographical Growth Insights:

By Region

North America
South America
Europe
The Middle East Africa
Asia-Pacific

MarkNtel Advisors Highlights Key Market Drivers for Causal Artificial Intelligence (AI) Market:

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.

A Comprehensive Analysis of Leading Companies in Global Causal Artificial Intelligence (AI) Market

IBM Corporation
Microsoft Corporation
Amazon Web Services
Causality Link
Aitia
Data Robot
Causalens
Google Corporation
AI
Dynatrace
Cognizant
Geminos
AI
Omnics Data Automation
Logility
Others

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Global Causal Artificial Intelligence (AI) Market Recent Developments

On 23 May 2023, DataRobot Inc., the leader in Value-Driven AI, announced a partnership with Microsoftto 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, andCausality 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, Dynatraceunveiled 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.

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.

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MarkNtel Advisors is a leading consulting, data analytics, and market research firm that provides an extensive range of strategic reports on diverse industry verticals. We being a qualitative quantitative research company, strive to deliver data to a substantial varied client base, including multinational corporations, financial institutions, governments, and individuals, among others.

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