Summary

The market for Causal AI is projected to grow from USD 8010 thousand in 2023 to USD 119,500 thousand by 2030, at a CAGR of 47.1% during the forecast period. Causal AI is the only technology that can reason and make choices such as humans do. It has the potential to revolutionize enterprise AI, making it more transparent, fair, and safe. The increasing demand for accurate predictions and decision-making is expected to drive the market.
The Healthcare and Lifesciences vertical is projected to be the largest market during the forecast period
The healthcare and life sciences industry is one of the fastest-growing sectors in the world, and the adoption of causal AI technology is on the rise. Causal AI and Causal ML is used in healthcare and life sciences for drug discovery, patient diagnosis, treatment, personalized medicine, and more. The high adoption of advanced technologies in the healthcare sector, the presence of several key players, and the growing demand for personalized medicine are some of the factors driving the growth of the market in North America. Europe is also expected to grow significantly, driven by the increasing adoption of AI technology and the growing demand for innovative healthcare solutions. The healthcare and life sciences industry is witnessing a surge in investments and acquisitions related to causal AI technology.
Among deployment, on-premises segment is registered to grow at the highest CAGR during the forecast period
On-premises deployment of causal AI platforms involves installing the software directly onto the organization's servers or hardware infrastructure. This deployment model provides maximum control over the data and the platform, as all data is stored within the organization's own network. On-premises deployment may be preferred by organizations with strict data privacy or regulatory compliance requirements, as it allows them to maintain complete control over their data. On-premises deployment also offers the potential for greater customization and integration with existing IT infrastructure.
Among training, support, and maintenance services segment is anticipated to account for the largest market size during the forecast period
Causal AI training, support, and maintenance services provide organizations with the ongoing support and expertise they need to effectively leverage causal inference tools and techniques. These services focus on providing the education, training, and technical support necessary to ensure organizations can get the most value from their causal inference solutions. Training services involve providing workshops or training sessions to help employees understand the basics of causal inference and how to use specific software solutions. Whereas support services provide ongoing technical support to help organizations troubleshoot problems or issues that arise with their causal inference solutions. Maintenance services involve regularly updating and maintaining software solutions to ensure they remain secure, reliable, and effective.
Rest of World is projected to witness the highest CAGR during the forecast period.
The causal AI market is rapidly expanding globally, with a growing number of companies and governments investing in this emerging technology. In regions outside North America and Europe, the market is also experiencing significant growth, driven by various factors such as increasing demand for advanced data analytics, rising investments in AI research and development, and the adoption of AI-based solutions across various industries. One of the major trends in the causal AI market in these regions is the increasing adoption of AI-based solutions in sectors such as healthcare, finance, and retail.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the Causal AI market.
 By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
 By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%
 By Region: APAC: 30%, Europe: 20%, North America: 45%, ROW: 5%
Major vendors offering Causal AI solutions and services across the globe are IBM (US), CausaLens (England), Microsoft (US), Causaly (England), Google (US), Geminos (US), AWS (US), Aitia (US), INCRMNTAL (Israel), Logility (US), Cognino.ai. (England), H2O.ai (US), DataRobot (US), Cognizant (US), Scalnyx (France), Causality Link (US), Dynatrace (US), Parabole.ai (US), Causalis.ai (Israel), and Omics Data Automation (US).
Research Coverage
The market study covers Causal AI across segments. It aims at estimating the market size and the growth potential across different segments, such as offering, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market for Causal AI and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:

• Analysis of key drivers (Importance of Causal Inference Models in Various Fields, Emergence of Causal AI as a Solution to Overcome the Limitations of Current AI, Operationalizing AI initiatives), restraints (Lack of interpretability & explainability and Acquiring & preparing high-quality data), opportunities (Causal AI is its potential to revolutionize the field of healthcare and Technological advancements in Causal AI), and challenges (Causal Inference from Complex Data Sets, Lack of Standardization and Ethical and Legal Issues) influencing the growth of the Causal AI market

• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the Causal AI market.

• Market Development: Comprehensive information about lucrative markets – the report analyses the Causal AI market across varied regions

• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in Causal AI and Causal ML market strategies; the report also helps stakeholders understand the pulse of the Causal AI market and provides them with information on key market drivers, restraints, challenges, and opportunities

• Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as IBM (US), Google (US), AWS(US), Microsoft (US) Cognizant (US) and Dynatrace (US) among others in the Causal AI market.

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Table of Contents

1 INTRODUCTION 22
1.1 STUDY OBJECTIVES 22
1.2 MARKET DEFINITION 22
1.3 INCLUSIONS AND EXCLUSIONS 23
1.4 MARKET SCOPE 23
1.4.1 MARKET SEGMENTATION 23
1.4.2 REGIONS COVERED 24
1.4.3 YEARS CONSIDERED 24
1.5 CURRENCY CONSIDERED 25
TABLE 1 USD EXCHANGE RATES, 2020–2022 25
1.6 STAKEHOLDERS 25
2 RESEARCH METHODOLOGY 26
2.1 RESEARCH DATA 26
FIGURE 1 CAUSAL AI MARKET: RESEARCH DESIGN 26
2.1.1 SECONDARY DATA 27
2.1.2 PRIMARY DATA 27
2.1.2.1 Primary interviews 28
2.1.2.2 Breakup of primary profiles 28
2.1.2.3 Key industry insights 29
2.2 DATA TRIANGULATION 29
2.3 MARKET SIZE ESTIMATION 30
FIGURE 2 CAUSAL AI MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 30
2.3.1 TOP-DOWN APPROACH 30
2.3.2 BOTTOM-UP APPROACH 31
FIGURE 3 APPROACH 1 (SUPPLY SIDE): REVENUE FROM OFFERING OF CAUSAL AI MARKET 31
FIGURE 4 APPROACH 2—BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM OFFERING OF CAUSAL AI PLAYERS 32
FIGURE 5 APPROACH 3—BOTTOM-UP (SUPPLY SIDE): REVENUE AND SUBSEQUENT MARKET ESTIMATION FROM OFFERING OF CAUSAL AI 32
FIGURE 6 APPROACH 4—BOTTOM-UP (DEMAND SIDE): SHARE OF CAUSAL AI OFFERING THROUGH OVERALL CAUSAL AI SPENDING 33
2.4 MARKET FORECAST 34
TABLE 2 FACTOR ANALYSIS 34
2.5 ASSUMPTIONS 35
TABLE 3 RESEARCH ASSUMPTIONS 35
2.6 LIMITATIONS 36
2.7 IMPLICATION OF RECESSION ON GLOBAL CAUSAL AI MARKET 37
TABLE 4 IMPACT OF RECESSION ON GLOBAL CAUSAL AI MARKET 37
3 EXECUTIVE SUMMARY 39
TABLE 5 CAUSAL AI MARKET SIZE AND GROWTH RATE, 2020–2022 (USD THOUSAND, Y-O-Y) 40
TABLE 6 CAUSAL AI MARKET SIZE AND GROWTH RATE, 2023–2030 (USD THOUSAND, Y-O-Y) 40
FIGURE 7 CAUSAL AI PLATFORMS TO ACCOUNT FOR LARGER MARKET THAN SERVICES IN 2023 40
FIGURE 8 CLOUD DEPLOYMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2023 41
FIGURE 9 CONSULTING SERVICES TO ACCOUNT FOR LARGEST MARKET IN 2023 41
FIGURE 10 HEALTHCARE & LIFESCIENCES VERTICAL TO ACCOUNT FOR LARGEST MARKET IN 2023 41
FIGURE 11 NORTH AMERICA ESTIMATED TO ACCOUNT FOR LARGEST SHARE IN 2023 42
4 PREMIUM INSIGHTS 43
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN CAUSAL AI MARKET 43
FIGURE 12 HIGH DEMAND FOR PLATFORMS TO TRANSFER DATA FROM PHYSICAL PREMISES TO CLOUD 43
4.2 CAUSAL AI MARKET, BY VERTICAL 43
FIGURE 13 HEALTHCARE & LIFE SCIENCES TO ACCOUNT FOR LARGEST SIZE DURING FORECAST PERIOD 43
4.3 CAUSAL AI MARKET, BY REGION 44
FIGURE 14 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE BY 2028 44
4.4 CAUSAL AI MARKET, BY OFFERING AND KEY VERTICAL 44
FIGURE 15 PLATFORMS AND HEALTHCARE & LIFE SCIENCES SEGMENTS TO ACCOUNT FOR SIGNIFICANT RESPECTIVE SHARES BY 2030 44
5 MARKET OVERVIEW AND INDUSTRY TRENDS 45
5.1 INTRODUCTION 45
5.2 MARKET DYNAMICS 45
FIGURE 16 CAUSAL AI MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 45
5.2.1 DRIVERS 46
5.2.1.1 Importance of causal inference models in various fields 46
5.2.1.2 Emergence of causal AI to overcome limitations of current AI 46
5.2.1.3 Operationalizing AI initiatives 46
5.2.2 RESTRAINTS 47
5.2.2.1 Lack of interpretability and explainability 47
5.2.2.2 Acquiring and preparing high-quality data 47
5.2.3 OPPORTUNITIES 47
5.2.3.1 Potential to revolutionize healthcare field 47
5.2.3.2 Technological advancements 48
5.2.4 CHALLENGES 48
5.2.4.1 Causal inference from complex data sets 48
5.2.4.2 Lack of standardization 48
5.3 CASE STUDY ANALYSIS 49
5.3.1 ACCELERATING MODEL VALIDATION WITH CAUSAL AI 49
5.3.2 UNLOCKING REVENUE GROWTH WITH CAUSAL AI-POWERED PRICING AND PROMOTION OPTIMIZATION 49
5.3.3 USING CAUSAL AI TO ENHANCE CUSTOMER RETENTION STRATEGIES 50
5.3.4 REVOLUTIONIZING DATA PROVIDER INDUSTRY WITH CAUSAL AI 51
5.3.5 USE OF CAUSAL AI FOR CUSTOMER SEGMENTATION 51
5.4 ECOSYSTEM ANALYSIS 52
FIGURE 17 ECOSYSTEM ANALYSIS 52
TABLE 7 PLATFORM PROVIDERS 52
TABLE 8 LIBRARY PROVIDERS 53
TABLE 9 AI FRAMEWORK PROVIDERS 53
TABLE 10 REGULATORY BODIES 53
5.5 KEY STEPS IN USING CAUSAL AI 54
5.5.1 DATA COLLECTION & PREPARATION 54
5.5.2 CAUSAL INFERENCE 54
5.5.3 ML MODELS 54
5.5.4 INTERPRETABILITY & EXPLAINABILITY 55
5.5.5 VALIDATION & TESTING 55
5.6 CORRELATION-BASED AI VS. CAUSAL AI 55
TABLE 11 CORRELATION-BASED AI VS. CAUSAL AI 56
5.7 TECHNOLOGY ANALYSIS 56
5.7.1 RELATED TECHNOLOGIES 56
5.7.1.1 Supervised learning 56
5.7.1.2 Unsupervised learning 57
5.7.1.3 Natural language processing 57
5.7.1.4 Predictive analytics 57
5.7.1.5 Deep learning 57
5.7.1.6 AI governance (ethical, explainable, and responsible AI) 58
5.7.1.7 Bayesian networks 58
5.7.2 ALLIED TECHNOLOGIES 58
5.7.2.1 Cloud computing 58
5.7.2.2 Robotics 59
5.7.2.3 Federated learning 59
5.7.2.4 Digital twin 59
5.8 BEST PRACTICES IN CAUSAL AI MARKET 60
5.9 FUTURE DIRECTIONS OF CAUSAL AI LANDSCAPE 60
TABLE 12 SHORT-TERM ROADMAP, 2023–2025 60
TABLE 13 MID-TERM ROADMAP, 2026–2028 61
TABLE 14 LONG-TERM ROADMAP, 2029–2030 61
5.10 BRIEF HISTORY OF EVOLUTION OF CAUSAL AI 62
5.11 VALUE CHAIN ANALYSIS 63
FIGURE 18 CAUSAL AI MARKET: VALUE CHAIN ANALYSIS 63
5.11.1 DATA COLLECTION & PREPARATION 63
5.11.2 ALGORITHM DEVELOPMENT 63
5.11.3 MODEL TRAINING 64
5.11.4 MODEL TESTING & VALIDATION 64
5.11.5 DEPLOYMENT & INTEGRATION 64
5.11.6 MAINTENANCE & SUPPORT 64
5.12 PRICING MODEL ANALYSIS 65
TABLE 15 PRICING MODELS 65
5.13 PATENT ANALYSIS 67
5.13.1 METHODOLOGY 67
5.13.2 DOCUMENT TYPE 67
TABLE 16 PATENTS FILED, 2013–2023 67
5.13.3 INNOVATION & PATENT APPLICATIONS 67
FIGURE 19 TOTAL NUMBER OF PATENTS GRANTED, 2013–2023 67
5.13.3.1 Top Applicants 68
FIGURE 20 TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2013–2022 68
TABLE 17 US: TOP 20 PATENT OWNERS, 2013–2022 68
TABLE 18 LIST OF PATENTS IN CAUSAL AI MARKET, 2021–2023 69
5.14 PORTER’S FIVE FORCES ANALYSIS 70
FIGURE 21 PORTER’S FIVE FORCES ANALYSIS 70
TABLE 19 PORTER’S FIVE FORCES ANALYSIS 70
5.14.1 THREAT FROM NEW ENTRANTS 71
5.14.2 THREAT FROM SUBSTITUTES 71
5.14.3 BARGAINING POWER OF SUPPLIERS 71
5.14.4 BARGAINING POWER OF BUYERS 71
5.14.5 INTENSITY OF COMPETITIVE RIVALRY 71
5.15 REGULATORY LANDSCAPE 72
5.15.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 72
TABLE 20 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 72
TABLE 21 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 73
TABLE 22 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 75
TABLE 23 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 75
5.15.1.1 North America 76
5.15.1.1.1 US 76
5.15.1.1.2 Canada 76
5.15.1.2 Europe 76
5.15.1.3 Asia Pacific 76
5.15.1.3.1 South Korea 76
5.15.1.3.2 China 76
5.15.1.3.3 India 77
5.15.1.4 Middle East & Africa 77
5.15.1.4.1 UAE 77
5.15.1.4.2 KSA 77
5.15.1.4.3 Bahrain 77
5.15.1.5 Latin America 77
5.15.1.5.1 Brazil 77
5.15.1.5.2 Mexico 77
5.16 KEY STAKEHOLDERS AND BUYING CRITERIA 78
5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS 78
FIGURE 22 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS IN TOP THREE VERTICALS 78
TABLE 24 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS IN TOP THREE VERTICALS 78
5.16.2 BUYING CRITERIA 79
FIGURE 23 KEY BUYING CRITERIA IN TOP THREE VERTICALS 79
TABLE 25 KEY BUYING CRITERIA IN TOP THREE VERTICALS 79
5.17 DISRUPTIONS IMPACTING BUYERS/CLIENTS IN CAUSAL AI MARKET 80
FIGURE 24 DISRUPTIONS IMPACTING BUYERS/CLIENTS 80
5.18 KEY CONFERENCES & EVENTS 80
TABLE 26 DETAILED LIST OF CONFERENCES & EVENTS, 2023–2024 80
5.19 BUSINESS MODELS OF CAUSAL AI 81
5.19.1 POTENTIAL OUTCOME FRAMEWORK 81
5.19.2 CAUSAL GRAPH MODEL 81
5.20 APPROACHES TO CAUSAL INFERENCES 81
5.20.1 CORRELATIONS 81
5.20.2 CAUSATION 82
5.20.3 INTERVENTIONS 82
5.20.4 COUNTERFACTUALS 82
5.20.5 SYSTEM MODELING 82
5.21 CAUSAL AI TECHNIQUES & METHODS 82
5.21.1 MACHINE LEARNING ALGORITHMS 82
5.21.1.1 Regression-based methods 83
5.21.1.2 Decision trees and random forests 83
5.21.1.3 K-nearest neighbor algorithms 83
5.21.1.4 Other ML algorithms 83
5.21.2 BAYESIAN NETWORKS 83
5.21.2.1 Directed acyclic graphs (DAGs) 84
5.21.2.2 Structural causal models (SCMs) 84
5.21.2.3 Counterfactual DAGs 84
5.21.2.4 Other Bayesian networks 84
5.21.3 STRUCTURAL EQUATION MODELS 84
5.21.3.1 Path analysis (DAGs) 85
5.21.3.2 Confirmatory factor analysis (CFA) 85
5.21.3.3 Partial least squares (PLS) 85
5.21.3.4 Other structural equation models 85
5.21.4 COUNTERFACTUAL ANALYSIS 85
5.21.4.1 Propensity score matching (PSM) 86
5.21.4.2 Difference-in-Differences (DiD) 86
5.21.4.3 Instrumental variables (IV) 86
5.21.4.4 Regression discontinuity design (RDD) 86
6 CAUSAL AI MARKET, BY OFFERING 87
6.1 INTRODUCTION 88
6.1.1 OFFERING: CAUSAL AI MARKET DRIVERS 88
FIGURE 25 CAUSAL AI SERVICES MARKET TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 88
TABLE 27 CAUSAL AI MARKET, BY OFFERING, 2020–2022 (USD THOUSAND) 89
TABLE 28 CAUSAL AI MARKET, BY OFFERING, 2023–2030 (USD THOUSAND) 89
6.2 PLATFORMS 89
6.2.1 DEMAND FOR DATA-DRIVEN DECISION-MAKING AND MORE ACCURATE PREDICTIONS AND INSIGHTS 89
TABLE 29 PLATFORMS: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND) 89
TABLE 30 PLATFORMS: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND) 90
6.2.2 CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT 90
FIGURE 26 ON-PREMISE PLATFORM DEPLOYMENT TO WITNESS HIGHER CAGR DURING FORECAST PERIOD 90
TABLE 31 CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2020–2022 (USD THOUSAND) 91
TABLE 32 CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2023–2030 (USD THOUSAND) 91
6.2.2.1 On-premises 91
6.2.2.1.1 Potential for greater customization and integration 91
TABLE 33 ON-PREMISES: CAUSAL AI PLATFORMS MARKET, BY REGION, 2020–2022 (USD THOUSAND) 91
TABLE 34 ON-PREMISES: CAUSAL AI PLATFORMS MARKET, BY REGION, 2023–2030 (USD THOUSAND) 92
6.2.2.2 Cloud 92
6.2.2.2.1 Potential for greater accessibility 92
TABLE 35 CLOUD: CAUSAL AI PLATFORMS MARKET, BY REGION, 2020–2022 (USD THOUSAND) 92
TABLE 36 CLOUD: CAUSAL AI PLATFORMS MARKET, BY REGION, 2023–2030 (USD THOUSAND) 93
6.3 SERVICES 93
6.3.1 VALUABLE RESOURCES AVAILABLE FOR THOSE LACKING INTERNAL PROFICIENCY 93
FIGURE 27 TRAINING, SUPPORT, AND MAINTENANCE SERVICES TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD 93
TABLE 37 CAUSAL AI MARKET, BY SERVICE, 2020–2022 (USD THOUSAND) 94
TABLE 38 CAUSAL AI MARKET, BY SERVICE, 2023–2030 (USD THOUSAND) 94
6.3.2 CONSULTING SERVICES 94
6.3.2.1 Expert guidance to make informed decisions and achieve better results 94
TABLE 39 CONSULTING SERVICES: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND) 94
TABLE 40 CONSULTING SERVICES: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND) 95
6.3.3 DEPLOYMENT & INTEGRATION 95
6.3.3.1 Focus on practical aspects of implementing causal inference 95
TABLE 41 DEPLOYMENT & INTEGRATION: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND) 95
TABLE 42 DEPLOYMENT & INTEGRATION: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND) 95
6.3.4 TRAINING, SUPPORT, AND MAINTENANCE 96
6.3.4.1 Need for ongoing training and support to ensure optimal model performance and accuracy 96
TABLE 43 TRAINING, SUPPORT, AND MAINTENANCE: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND) 96
TABLE 44 TRAINING, SUPPORT, AND MAINTENANCE: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND) 96
7 CAUSAL AI MARKET, BY VERTICAL 97
7.1 INTRODUCTION 98
7.1.1 VERTICAL: CAUSAL AI MARKET DRIVERS 98
FIGURE 28 HEALTHCARE & LIFE SCIENCES VERTICAL TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 98
TABLE 45 CAUSAL AI MARKET, BY VERTICAL, 2020–2022 (USD THOUSAND) 99
TABLE 46 CAUSAL AI MARKET, BY VERTICAL, 2023–2030 (USD THOUSAND) 99
7.2 BFSI 100
7.2.1 HIGHLY COMPETITIVE WITH SEVERAL OPERATIONAL PLAYERS 100
TABLE 47 BFSI: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND) 100
TABLE 48 BFSI: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND) 100
7.2.2 USE CASES: BFSI 101
7.3 HEALTHCARE & LIFE SCIENCES 102
7.3.1 INVESTMENT BY STARTUPS IN DEVELOPING BLOOD TESTS FOR EARLY CANCER DETECTION 102
TABLE 49 HEALTHCARE & LIFE SCIENCES: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND) 102
TABLE 50 HEALTHCARE & LIFE SCIENCES: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND) 102
7.3.2 USE CASES: HEALTHCARE & LIFE SCIENCES 103
7.4 RETAIL & ECOMMERCE 104
7.4.1 OPTIMIZING PRODUCT INVENTORY FOR RETAILERS AND DISCOVERY FOR CUSTOMERS 104
TABLE 51 RETAIL & ECOMMERCE: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND) 104
TABLE 52 RETAIL & ECOMMERCE: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND) 104
7.4.2 USE CASES: RETAIL & ECOMMERCE 105
7.5 MANUFACTURING 106
7.5.1 ANALYZING DATA FROM PRODUCTION PROCESSES TO IDENTIFY DEFECTS AND QUALITY ISSUES IN REAL TIME 106
TABLE 53 MANUFACTURING: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND) 106
TABLE 54 MANUFACTURING: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND) 106
7.5.2 USE CASES: MANUFACTURING 107
7.6 TRANSPORTATION & LOGISTICS 108
7.6.1 OPTIMIZING VEHICLE ROUTES, TRACKING SHIPMENTS IN REAL TIME, AND IMPROVING DELIVERY TIMES 108
TABLE 55 TRANSPORTATION & LOGISTICS: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND) 108
TABLE 56 TRANSPORTATION & LOGISTICS: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND) 108
7.6.2 USE CASES: TRANSPORTATION & LOGISTICS 109
7.7 OTHER VERTICALS 110
TABLE 57 OTHER VERTICALS: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND) 110
TABLE 58 OTHER VERTICALS: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND) 111
8 CAUSAL AI MARKET, BY REGION 112
8.1 INTRODUCTION 113
FIGURE 29 NORTH AMERICA TO BE LARGEST MARKET DURING FORECAST PERIOD 113
FIGURE 30 JAPAN TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 113
TABLE 59 CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND) 114
TABLE 60 CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND) 114
8.2 NORTH AMERICA 114
8.2.1 NORTH AMERICA: CAUSAL AI MARKET DRIVERS 114
8.2.2 NORTH AMERICA: IMPACT OF RECESSION 115
FIGURE 31 NORTH AMERICA: MARKET SNAPSHOT 115
TABLE 61 NORTH AMERICA: CAUSAL AI MARKET, BY OFFERING, 2020–2022 (USD THOUSAND) 116
TABLE 62 NORTH AMERICA: CAUSAL AI MARKET, BY OFFERING, 2023–2030 (USD THOUSAND) 116
TABLE 63 NORTH AMERICA: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2020–2022 (USD THOUSAND) 116
TABLE 64 NORTH AMERICA: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2023–2030 (USD THOUSAND) 116
TABLE 65 NORTH AMERICA: CAUSAL AI MARKET, BY SERVICE, 2020–2022 (USD THOUSAND) 116
TABLE 66 NORTH AMERICA: CAUSAL AI MARKET, BY SERVICE, 2023–2030 (USD THOUSAND) 117
TABLE 67 NORTH AMERICA: CAUSAL AI MARKET, BY VERTICAL, 2020–2022 (USD THOUSAND) 117
TABLE 68 NORTH AMERICA: CAUSAL AI MARKET, BY VERTICAL, 2023–2030 (USD THOUSAND) 117
TABLE 69 NORTH AMERICA: CAUSAL AI MARKET, BY COUNTRY, 2020–2022 (USD THOUSAND) 117
TABLE 70 NORTH AMERICA: CAUSAL AI MARKET, BY COUNTRY, 2023–2030 (USD THOUSAND) 118
8.2.3 US 118
8.2.3.1 Research and investment by leading universities and organizations 118
8.2.4 CANADA 118
8.2.4.1 Rise in adoption of machine learning applications in various industries 118
8.3 EUROPE 119
8.3.1 EUROPE: CAUSAL AI MARKET DRIVERS 119
8.3.2 EUROPE: IMPACT OF RECESSION 119
TABLE 71 EUROPE: CAUSAL AI MARKET, BY OFFERING, 2020–2022 (USD THOUSAND) 120
TABLE 72 EUROPE: CAUSAL AI MARKET, BY OFFERING, 2023–2030 (USD THOUSAND) 120
TABLE 73 EUROPE: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2020–2022 (USD THOUSAND) 120
TABLE 74 EUROPE: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2023–2030 (USD THOUSAND) 120
TABLE 75 EUROPE: CAUSAL AI MARKET, BY SERVICE, 2020–2022 (USD THOUSAND) 120
TABLE 76 EUROPE: CAUSAL AI MARKET, BY SERVICE, 2023–2030 (USD THOUSAND) 121
TABLE 77 EUROPE: CAUSAL AI MARKET, BY VERTICAL, 2020–2022 (USD THOUSAND) 121
TABLE 78 EUROPE: CAUSAL AI MARKET, BY VERTICAL, 2023–2030 (USD THOUSAND) 121
TABLE 79 EUROPE: CAUSAL AI MARKET, BY COUNTRY, 2020–2022 (USD THOUSAND) 122
TABLE 80 EUROPE: CAUSAL AI MARKET, BY COUNTRY, 2023–2030 (USD THOUSAND) 122
8.3.3 UK 122
8.3.3.1 Businesses increasingly seeking to leverage benefits of AI and ML 122
8.3.4 GERMANY 123
8.3.4.1 Strong IT infrastructure and robust regulatory framework 123
8.3.5 FRANCE 123
8.3.5.1 Thriving startup ecosystem 123
8.3.6 REST OF EUROPE 123
8.4 REST OF THE WORLD (ROW) 123
8.4.1 REST OF THE WORLD: CAUSAL AI MARKET DRIVERS 124
8.4.2 ROW: IMPACT OF RECESSION 124
TABLE 81 ROW: CAUSAL AI MARKET, BY OFFERING, 2020–2022 (USD THOUSAND) 125
TABLE 82 ROW: CAUSAL AI MARKET, BY OFFERING, 2023–2030 (USD THOUSAND) 125
TABLE 83 ROW: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2020–2022 (USD THOUSAND) 125
TABLE 84 ROW: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2023–2030 (USD THOUSAND) 125
TABLE 85 ROW: CAUSAL AI MARKET, BY SERVICE, 2020–2022 (USD THOUSAND) 125
TABLE 86 ROW: CAUSAL AI MARKET, BY SERVICE, 2023–2030 (USD THOUSAND) 126
TABLE 87 ROW: CAUSAL AI MARKET, BY VERTICAL, 2020–2022 (USD THOUSAND) 126
TABLE 88 ROW: CAUSAL AI MARKET, BY VERTICAL, 2023–2030 (USD THOUSAND) 126
TABLE 89 ROW: CAUSAL AI MARKET, BY COUNTRY, 2020–2022 (USD THOUSAND) 127
TABLE 90 ROW: CAUSAL AI MARKET, BY COUNTRY, 2023–2030 (USD THOUSAND) 127
8.4.3 ISRAEL 127
8.4.3.1 Adoption of AI-based solutions in healthcare 127
8.4.4 CHINA 128
8.4.4.1 Initiatives such as Next Generation Artificial Intelligence Development Plan 128
8.4.5 JAPAN 128
8.4.5.1 Dedicated research initiatives such as Artificial Intelligence Technology Strategy 128
8.4.6 OTHERS IN ROW 128
9 COMPETITIVE LANDSCAPE 130
9.1 OVERVIEW 130
9.2 KEY PLAYER STRATEGIES 130
TABLE 91 OVERVIEW OF KEY PRODUCTS LAUNCHED BY PROMINENT PLAYERS IN CAUSAL AI MARKET 130
9.3 REVENUE ANALYSIS 131
FIGURE 32 REVENUE ANALYSIS FOR KEY PUBLIC COMPANIES, 2020–2022 (USD MILLION) 131
9.4 MARKET SHARE ANALYSIS 132
FIGURE 33 CAUSAL AI MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2022 132
TABLE 92 OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN CAUSAL AI MARKET 132
9.5 COMPANY EVALUATION QUADRANT 133
9.5.1 STARS 133
9.5.2 EMERGING LEADERS 133
9.5.3 PERVASIVE PLAYERS 133
9.5.4 PARTICIPANTS 133
FIGURE 34 KEY CAUSAL AI MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2023 134
9.6 COMPETITIVE BENCHMARKING 135
TABLE 93 COMPETITIVE BENCHMARKING OF KEY PLAYERS, 2022 135
TABLE 94 DETAILED LIST OF KEY STARTUPS/SMES 135
TABLE 95 COMPETITIVE BENCHMARKING OF STARTUPS/SMES 136
9.7 CAUSAL AI PRODUCT LANDSCAPE 137
9.7.1 COMPARATIVE ANALYSIS OF CAUSAL AI PRODUCTS 137
TABLE 96 COMPARATIVE ANALYSIS OF CAUSAL AI PRODUCTS 137
FIGURE 35 COMPARATIVE ANALYSIS OF CAUSAL AI PRODUCTS 137
9.7.2 VALUATION AND FINANCIAL METRICS OF KEY CAUSAL AI VENDORS 138
FIGURE 36 FINANCIAL METRICS OF KEY CAUSAL AI VENDORS 138
FIGURE 37 YTD PRICE TOTAL RETURN AND STOCK BETA OF KEY CAUSAL AI VENDORS 138
9.8 COMPETITIVE SCENARIO 139
9.8.1 PRODUCT LAUNCHES 139
TABLE 97 PRODUCT LAUNCHES, MAY 2021–FEBRUARY 2023 139
9.8.2 DEALS 140
TABLE 98 DEALS, OCTOBER 2020–FEBRUARY 2023 140
10 COMPANY PROFILES 141
10.1 INTRODUCTION 141
(Business overview, Products/Solutions/Services offered, Recent developments & MnM View)*
10.2 KEY PLAYERS 141
10.2.1 IBM 141
TABLE 99 IBM: BUSINESS OVERVIEW 141
FIGURE 38 IBM: COMPANY SNAPSHOT 142
TABLE 100 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 142
TABLE 101 IBM: PRODUCT LAUNCHES 143
TABLE 102 IBM: DEALS 144
10.2.2 MICROSOFT 146
TABLE 103 MICROSOFT: BUSINESS OVERVIEW 146
FIGURE 39 MICROSOFT: COMPANY SNAPSHOT 147
TABLE 104 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 147
TABLE 105 MICROSOFT: PRODUCT LAUNCHES 148
TABLE 106 MICROSOFT: DEALS 149
10.2.3 GOOGLE 150
TABLE 107 GOOGLE: BUSINESS OVERVIEW 150
FIGURE 40 GOOGLE: FINANCIAL OVERVIEW 151
TABLE 108 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 151
TABLE 109 GOOGLE: PRODUCT LAUNCHES 152
TABLE 110 GOOGLE: DEALS 153
10.2.4 AWS 155
TABLE 111 AWS: BUSINESS OVERVIEW 155
FIGURE 41 AWS: FINANCIAL OVERVIEW 155
TABLE 112 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 156
TABLE 113 AWS: PRODUCT LAUNCHES 156
TABLE 114 AWS: DEALS 157
10.2.5 DYNATRACE 160
TABLE 115 DYNATRACE: BUSINESS OVERVIEW 160
FIGURE 42 DYNATRACE: FINANCIAL OVERVIEW 161
TABLE 116 DYNATRACE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 161
TABLE 117 DYNATRACE: PRODUCT LAUNCHES 162
TABLE 118 DYNATRACE: DEALS 163
10.2.6 H2O.AI 164
TABLE 119 H2O.AI: BUSINESS OVERVIEW 164
TABLE 120 H2O.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED 164
TABLE 121 H2O.AI: PRODUCT LAUNCHES 165
TABLE 122 H2O.AI: DEALS 166
10.2.7 DATAROBOT 167
TABLE 123 DATAROBOT: BUSINESS OVERVIEW 167
TABLE 124 DATAROBOT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 167
TABLE 125 DATAROBOT: DEALS 168
10.2.8 CAUSALENS 169
TABLE 126 CAUSALENS: BUSINESS OVERVIEW 169
TABLE 127 CAUSALENS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 169
TABLE 128 CAUSALENS: PRODUCT LAUNCHES 170
TABLE 129 CAUSALENS: DEALS 170
10.2.9 CAUSALITY LINK 171
TABLE 130 CAUSALITY LINK: BUSINESS OVERVIEW 171
TABLE 131 CAUSALITY LINK: PRODUCTS/SOLUTIONS/SERVICES OFFERED 171
TABLE 132 CAUSALITY LINK: PRODUCT LAUNCHES 172
TABLE 133 CAUSALITY LINK: DEALS 172
10.2.10 AITIA 173
TABLE 134 AITIA: BUSINESS OVERVIEW 173
TABLE 135 AITIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED 173
TABLE 136 AITIA: PRODUCT LAUNCHES 174
TABLE 137 AITIA: DEALS 174
*Details on Business overview, Products/Solutions/Services offered, Recent developments & MnM View might not be captured in case of unlisted companies.
10.3 OTHER KEY PLAYERS 176
10.3.1 PARABOLE.AI 176
10.3.2 CAUSALIS 176
10.3.3 OMICS DATA AUTOMATION 177
10.3.4 INCRMNTAL 177
10.3.5 CAUSALY 178
10.3.6 LOGILITY 178
10.3.7 COGNINO.AI 179
10.3.8 COGNIZANT 180
10.3.9 SCALNYX 181
10.3.10 GEMINOS 181
11 ADJACENT AND RELATED MARKETS 182
11.1 AI GOVERNANCE MARKET 182
11.1.1 MARKET DEFINITION 182
11.1.2 MARKET OVERVIEW 182
TABLE 138 AI GOVERNANCE MARKET SIZE AND GROWTH RATE, 2020–2026 (USD MILLION, Y-O-Y%) 182
11.1.3 AI GOVERNANCE, BY COMPONENT 183
TABLE 139 AI GOVERNANCE MARKET, BY COMPONENT, 2020–2026 (USD MILLION) 183
11.1.4 AI GOVERNANCE MARKET, BY SOLUTION 183
TABLE 140 AI GOVERNANCE MARKET, BY SOLUTION, 2020–2026 (USD MILLION) 183
11.1.5 AI GOVERNANCE MARKET, BY DEPLOYMENT MODE 183
TABLE 141 AI GOVERNANCE MARKET, BY DEPLOYMENT MODE, 2020–2026 (USD MILLION) 184
11.1.6 AI GOVERNANCE MARKET, BY ORGANIZATION SIZE 184
TABLE 142 AI GOVERNANCE MARKET, BY ORGANIZATION SIZE, 2020–2026 (USD MILLION) 184
11.1.7 AI GOVERNANCE MARKET, BY VERTICAL 184
TABLE 143 AI GOVERNANCE MARKET, BY VERTICAL, 2020–2026 (USD MILLION) 185
11.1.8 AI GOVERNANCE MARKET, BY REGION 185
TABLE 144 AI GOVERNANCE MARKET, BY REGION, 2020–2026 (USD MILLION) 185
11.2 ARTIFICIAL INTELLIGENCE MARKET 186
11.2.1 MARKET DEFINITION 186
11.2.2 MARKET OVERVIEW 186
11.2.3 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING 186
TABLE 145 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD BILLION) 187
TABLE 146 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022–2027 (USD BILLION) 187
11.2.4 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY 187
TABLE 147 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION) 187
TABLE 148 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION) 188
11.2.5 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE 188
TABLE 149 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION) 188
TABLE 150 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION) 188
11.2.6 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE 189
TABLE 151 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2016–2021 (USD BILLION) 189
TABLE 152 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2022–2027 (USD BILLION) 189
11.2.7 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION 190
TABLE 153 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION) 190
TABLE 154 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION) 190
11.2.8 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL 191
TABLE 155 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016–2021 (USD BILLION) 191
TABLE 156 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022–2027 (USD BILLION) 191
11.2.9 ARTIFICIAL INTELLIGENCE MARKET, BY REGION 192
TABLE 157 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 192
TABLE 158 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 192
12 APPENDIX 193
12.1 DISCUSSION GUIDE 193
12.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 197
12.3 CUSTOMIZATION OPTIONS 199
12.4 RELATED REPORTS 199
12.5 AUTHOR DETAILS 200