Causal AI Market by Offering (Platform, Services), Vertical (Banking, Financial Services & Insurance, Healthcare & Lifesciences, Manufacturing) - Global Forecast 2023-2030

Causal AI Market by Offering (Platform, Services), Vertical (Banking, Financial Services & Insurance, Healthcare & Lifesciences, Manufacturing) - Global Forecast 2023-2030


The Causal AI Market is projected to reach USD 34.11 billion by 2030 from USD 4.93 billion in 2022, at a CAGR of 27.32% during the forecast period.

Market Segmentation & Coverage:

This research report analyzes various sub-markets, forecasts revenues, and examines emerging trends in each category to provide a comprehensive outlook on the Causal AI Market.
  • Based on Offering, market is studied across Platform and Services. The Services is further studied across Consulting Services, Deployment & Integration, and Training, Support, and Maintenance. The Platform is projected to witness significant market share during forecast period.
  • Based on Vertical, market is studied across Banking, Financial Services & Insurance, Healthcare & Lifesciences, Manufacturing, Retail & eCommerce, and Transportation & Logistics. The Retail & eCommerce is projected to witness significant market share during forecast period.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas commanded largest market share of 95.00% in 2022, followed by Europe, Middle East & Africa.
Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is an indispensable tool for assessing the Causal AI Market. It comprehensively evaluates vendors, analyzing key metrics related to Business Strategy and Product Satisfaction. This enables users to make informed decisions tailored to their specific needs. Through advanced analysis, vendors are categorized into four distinct quadrants, each representing a different level of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V). Be assured that this insightful framework empowers decision-makers to navigate the market with confidence.

Market Share Analysis:

The Market Share Analysis offers invaluable insights into the vendor landscape Causal AI Market. By evaluating their impact on overall revenue, customer base, and other key metrics, we provide companies with a comprehensive understanding of their performance and the competitive environment they confront. This analysis also uncovers the level of competition in terms of market share acquisition, fragmentation, dominance, and industry consolidation during the study period.

Key Company Profiles:

The report delves into recent significant developments in the Causal AI Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Amazon Web Services, Inc., American Software, Inc., BigML, Inc., BMC Software, Inc., Booz Allen Hamilton, Cerence Inc., cognino.ai, Cognizant Technology Solutions Corporation, Databricks, Inc, EXPERT.AI, Fair Isaac Corporation, Geminos Software, Google LLC by Alphabet Inc., Hewlett Packard Enterprise Development LP, IDC CEMA s.r.o., Impulse Innovations Limited, INCRMNTAL Ltd, Infosys Limited, Intel Corporation, International Business Machines Corporation, Kyndryl Inc., Levity AI GmbH, Microsoft Corporation, Salesforce, Inc., SAP SE, and Siemens AG.

The report offers valuable insights on the following aspects:
  1. Market Penetration: It provides comprehensive information about key players' market dynamics and offerings.
  2. Market Development: In-depth analysis of emerging markets and penetration across mature market segments, highlighting lucrative opportunities.
  3. Market Diversification: Detailed information about new product launches, untapped geographies, recent developments, and investments.
  4. Competitive Assessment & Intelligence: Exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of leading players.
  5. Product Development & Innovation: Intelligent insights on future technologies, R&D activities, and breakthrough product developments.
The report addresses key questions such as:
  1. What is the market size and forecast for the Causal AI Market?
  2. Which products, segments, applications, and areas hold the highest investment potential in the Causal AI Market?
  3. What is the competitive strategic window for identifying opportunities in the Causal AI Market?
  4. What are the latest technology trends and regulatory frameworks in the Causal AI Market?
  5. What is the market share of the leading vendors in the Causal AI Market?
  6. Which modes and strategic moves are suitable for entering the Causal AI Market?


Note: PDF & Excel + Online Access - 1 Year


1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Causal AI Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increasing automation across business sectors to optimize processes
5.1.1.2. Growing need for data-driven decision-making technology
5.1.1.3. Government support for digital transformation world
5.1.2. Restraints
5.1.2.1. High cost pertaining to the implementation of casual AI technology
5.1.3. Opportunities
5.1.3.1. Technological advancements in casual AI
5.1.3.2. Emerging use of casual AI in healthcare sector
5.1.4. Challenges
5.1.4.1. Data privacy and security concerns associated with casual AI
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of COVID-19
5.5. Cumulative Impact of Russia-Ukraine Conflict
5.6. Cumulative Impact of High Inflation
5.7. Porter’s Five Forces Analysis
5.7.1. Threat of New Entrants
5.7.2. Threat of Substitutes
5.7.3. Bargaining Power of Customers
5.7.4. Bargaining Power of Suppliers
5.7.5. Industry Rivalry
5.8. Value Chain & Critical Path Analysis
5.9. Regulatory Framework
5.10. Client Customization
6. Causal AI Market, by Offering
6.1. Introduction
6.2. Platform
6.3. Services
6.4.1. Consulting Services
6.4.2. Deployment & Integration
6.4.3. Training, Support, and Maintenance
7. Causal AI Market, by Vertical
7.1. Introduction
7.2. Banking, Financial Services & Insurance
7.3. Healthcare & Lifesciences
7.4. Manufacturing
7.5. Retail & eCommerce
7.6. Transportation & Logistics
8. Americas Causal AI Market
8.1. Introduction
8.2. Argentina
8.3. Brazil
8.4. Canada
8.5. Mexico
8.6. United States
9. Asia-Pacific Causal AI Market
9.1. Introduction
9.2. Australia
9.3. China
9.4. India
9.5. Indonesia
9.6. Japan
9.7. Malaysia
9.8. Philippines
9.9. Singapore
9.10. South Korea
9.11. Taiwan
9.12. Thailand
9.13. Vietnam
10. Europe, Middle East & Africa Causal AI Market
10.1. Introduction
10.2. Denmark
10.3. Egypt
10.4. Finland
10.5. France
10.6. Germany
10.7. Israel
10.8. Italy
10.9. Netherlands
10.10. Nigeria
10.11. Norway
10.12. Poland
10.13. Qatar
10.14. Russia
10.15. Saudi Arabia
10.16. South Africa
10.17. Spain
10.18. Sweden
10.19. Switzerland
10.20. Turkey
10.21. United Arab Emirates
10.22. United Kingdom
11. Competitive Landscape
11.1. FPNV Positioning Matrix
11.2. Market Share Analysis, By Key Player
11.3. Competitive Scenario Analysis, By Key Player
12. Competitive Portfolio
12.1. Key Company Profiles
12.1.1. Accenture PLC
12.1.2. Amazon Web Services, Inc.
12.1.3. American Software, Inc.
12.1.4. BigML, Inc.
12.1.5. BMC Software, Inc.
12.1.6. Booz Allen Hamilton
12.1.7. Cerence Inc.
12.1.8. cognino.ai
12.1.9. Cognizant Technology Solutions Corporation
12.1.10. Databricks, Inc
12.1.11. EXPERT.AI
12.1.12. Fair Isaac Corporation
12.1.13. Geminos Software
12.1.14. Google LLC by Alphabet Inc.
12.1.15. Hewlett Packard Enterprise Development LP
12.1.16. IDC CEMA s.r.o.
12.1.17. Impulse Innovations Limited
12.1.18. INCRMNTAL Ltd
12.1.19. Infosys Limited
12.1.20. Intel Corporation
12.1.21. International Business Machines Corporation
12.1.22. Kyndryl Inc.
12.1.23. Levity AI GmbH
12.1.24. Microsoft Corporation
12.1.25. Salesforce, Inc.
12.1.26. SAP SE
12.1.27. Siemens AG
12.2. Key Product Portfolio
13. Appendix
13.1. Discussion Guide
13.2. License & Pricing

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