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Causal AI Market Industry Report 2025-2035: Consulting Services Dominate Causal AI Market, While Support & Maintenance Forecasted to Grow Rapidly - ResearchAndMarkets.com
The "Causal AI Market Industry Trends and Global Forecasts to 2035: Distribution by Type of Offering, Deployment Mode, Services, Analytics, Technology, Component, Areas of Application, Functionality, Industry Vertical, Company Size and Key Geographical Regions" report has been added to ResearchAndMarkets.com's offering.
The global causal AI market size is estimated to grow from USD 63.37 million in 2025, to USD 1.62 billion by 2035, at a CAGR of 38.35% during the forecast period, until 2035.
Causal AI signifies a significant breakthrough in the field of artificial intelligence and machine learning, focusing on the detection and application of cause-and-effect relationships within datasets. In contrast to the conventional AI models that primarily depend on correlation-based techniques to recognize patterns and make predictions, causal AI tackles situations where comprehending the fundamental causal mechanisms is crucial. By incorporating principles from causal inference, a statistical and philosophical field dedicated to uncovering causal relationships from data, causal AI improves the analytical capabilities of AI technologies.
The demand for causal AI is witnessing a considerable surge driven by various factors. Further, the increasing use of virtual assistants and chatbots that can hold natural language conversations has heightened the appeal for causal AI applications.
Moreover, the lower costs associated with hardware, cloud computing, and data storage have rendered AI technology more accessible to a broader spectrum of individuals and organizations. Notably, this financial accessibility has facilitated the development and integration of causal AI solutions, bringing these innovations closer to everyday users, thereby propelling the growth within this market, during the forecast period.
Causal AI Market: Research Coverage
The report on the causal AI market features insights on various sections, including:
- Market Sizing and Opportunity Analysis: An in-depth analysis of the causal AI market, focusing on key market segments, including type of offering, type of deployment mode, type of services, type of analytics, type of technology, type of component, areas of application, type of functionality, type of industry vertical, company size and key geographical regions.
- Competitive Landscape: A comprehensive analysis of the companies engaged in the causal AI market, based on several relevant parameters, such as year of establishment, company size, location of headquarters and ownership structure.
- Company Profiles: Elaborate profiles of prominent players engaged in the causal AI market, providing details on location of headquarters, company size, company mission, company footprint, management team, contact details, financial information, operating business segments, causal AI portfolio, moat analysis, recent developments, and an informed future outlook.
- Megatrends: An evaluation of ongoing megatrends in causal AI industry.
- Patent Analysis: An insightful analysis of patents filed / granted in the causal AI domain, based on relevant parameters, including type of patent, patent publication year, patent age and leading players.
- Recent Developments: An overview of the recent developments made in the causal AI market, along with analysis based on relevant parameters, including year of initiative, type of initiative, geographical distribution and most active players.
- Porter's Five Forces Analysis: An analysis of five competitive forces prevailing in the causal AI market, including threats of new entrants, bargaining power of buyers, bargaining power of suppliers, threats of substitute products and rivalry among existing competitors.
- SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.
Key Players in Causal AI Market Profiled in the Report Include:
- Aible
- Aitia
- Actable AI
- Alibaba
- Amazon Web Services
- Amelia.ai
- Beyond Limits
- Biotx.ai
- Blue Prism
- Causa
- CausaAI
- CausaLens
- Causaly
- Causely
- Causality Link
- Cognizant
- CognitiveScale
- Data Poem
- DataRobot
- Dataiku
- Databricks
- Descartes Labs
- Dynatrace
- Element AI
- Ernst & Young
- Geminos
- Glencoe Software
- Howso
- H2O.ai
- IBM
- Impact Genome
- Incrmntl
- Intel
- Lifesight
- Logility
- Microsoft
- Modzy
- Nebula
- NVIDIA
- OpenAI
- Oracle
- Parabole.AI
- PwC
- RapidMiner
- Restackio
- Salesforce
- SAP SE
- Scalnyx
- Seldon
- Shopify
- Slack
- Snowflake
- Symphony Ayasdi AI
- Taskade
- ThoughtSpot
- TikTok
- Trifacta
- Uber
- Unlearn.AI
- VELDT
- Wipro
Key Questions Answered in this Report
- How many companies are currently engaged in causal AI market?
- Which are the leading companies in this market?
- What factors are likely to influence the evolution of this market?
- What is the current and future market size?
- What is the CAGR of this market?
- How is the current and future market opportunity likely to be distributed across key market segments?
Additional Benefits
- Complimentary Excel Data Packs for all Analytical Modules in the Report
- 15% Free Content Customization
- Detailed Report Walkthrough Session with Research Team
Report Scope:
Type of Offering
- Services
- Software
Type of Deployment Mode
- Cloud
- Hybrid
- On-Premises
Type of Services
- Consulting
- Deployment & Integration
- Support and Maintenance
- Training
Type of Analytics
- Descriptive Analytics
- Predictive Analytics
- Prescriptive Analytics
Type of Technology
- Computer Vision
- Deep Learning
- Machine Learning
- Natural Language Processing
Type of Component
- Algorithms
- Frameworks
- Libraries
Areas of Application
- Customer Experience Management
- Fraud Detection
- Healthcare Diagnostics
- Marketing Optimization
- Predictive Maintenance
- Risk Management
- Supply Chain Optimization
Type of Functionality
- Causal Discovery
- Causal Inference
- Counterfactual Analysis
Type of Industry Vertical
- BFSI
- Financial Services
- Healthcare
- Manufacturing
- Retail
- Transportation & Logistics
Company Size
- Large Enterprises
- Small and Medium Enterprises
Geographical Regions
-
North America
- US
- Canada
- Mexico
- Other North American countries
-
Europe
- Austria
- Belgium
- Denmark
- France
- Germany
- Ireland
- Italy
- Netherlands
- Norway
- Russia
- Spain
- Sweden
- Switzerland
- UK
- Other European countries
-
Asia
- China
- India
- Japan
- Singapore
- South Korea
- Other Asian countries
-
Latin America
- Brazil
- Chile
- Colombia
- Venezuela
- Other Latin American countries
-
Middle East and North Africa
- Egypt
- Iran
- Iraq
- Israel
- Kuwait
- Saudi Arabia
- UAE
- Other MENA countries
-
Rest of the World
- Australia
- New Zealand
- Other countries
For more information about this report visit https://www.researchandmarkets.com/r/dvq0fe
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View source version on businesswire.com: https://www.businesswire.com/news/home/20251010801077/en/
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