Causal AI Market by Offering (Platforms (Deployment (Cloud and On-premises)) and Services), Vertical (Healthcare & Life Sciences, BFSI, Retail & eCommerce, Transportation & Logistics, Manufacturing) and Region - Global Forecast to 2030
Causal AI Market by Offering (Platforms (Deployment (Cloud and On-premises)) and Services), Vertical (Healthcare & Life Sciences, BFSI, Retail & eCommerce, Transportation & Logistics, Manufacturing) and Region - Global Forecast to 2030
Abstract
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.
Content
Table of Contents
1INTRODUCTION22
1.1STUDY OBJECTIVES22
1.2MARKET DEFINITION22
1.3INCLUSIONS AND EXCLUSIONS23
1.4MARKET SCOPE23
1.4.1MARKET SEGMENTATION23
1.4.2REGIONS COVERED24
1.4.3YEARS CONSIDERED24
1.5CURRENCY CONSIDERED25
TABLE 1USD EXCHANGE RATES, 2020–202225
1.6STAKEHOLDERS25
2RESEARCH METHODOLOGY26
2.1RESEARCH DATA26
FIGURE 1CAUSAL AI MARKET: RESEARCH DESIGN26
2.1.1SECONDARY DATA27
2.1.2PRIMARY DATA27
2.1.2.1Primary interviews28
2.1.2.2Breakup of primary profiles28
2.1.2.3Key industry insights29
2.2DATA TRIANGULATION29
2.3MARKET SIZE ESTIMATION30
FIGURE 2CAUSAL AI MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES30
2.3.1TOP-DOWN APPROACH30
2.3.2BOTTOM-UP APPROACH31
FIGURE 3APPROACH 1 (SUPPLY SIDE): REVENUE FROM OFFERING OF CAUSAL AI MARKET31
FIGURE 4APPROACH 2—BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM OFFERING OF CAUSAL AI PLAYERS32
FIGURE 5APPROACH 3—BOTTOM-UP (SUPPLY SIDE): REVENUE AND SUBSEQUENT MARKET ESTIMATION FROM OFFERING OF CAUSAL AI32
FIGURE 6APPROACH 4—BOTTOM-UP (DEMAND SIDE): SHARE OF CAUSAL AI OFFERING THROUGH OVERALL CAUSAL AI SPENDING33
2.4MARKET FORECAST34
TABLE 2FACTOR ANALYSIS34
2.5ASSUMPTIONS35
TABLE 3RESEARCH ASSUMPTIONS35
2.6LIMITATIONS36
2.7IMPLICATION OF RECESSION ON GLOBAL CAUSAL AI MARKET37
TABLE 4IMPACT OF RECESSION ON GLOBAL CAUSAL AI MARKET37
3EXECUTIVE SUMMARY39
TABLE 5CAUSAL AI MARKET SIZE AND GROWTH RATE, 2020–2022 (USD THOUSAND, Y-O-Y)40
TABLE 6CAUSAL AI MARKET SIZE AND GROWTH RATE, 2023–2030 (USD THOUSAND, Y-O-Y)40
FIGURE 7CAUSAL AI PLATFORMS TO ACCOUNT FOR LARGER MARKET THAN SERVICES IN 202340
FIGURE 8CLOUD DEPLOYMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 202341
FIGURE 9CONSULTING SERVICES TO ACCOUNT FOR LARGEST MARKET IN 202341
FIGURE 10HEALTHCARE & LIFESCIENCES VERTICAL TO ACCOUNT FOR LARGEST MARKET IN 202341
FIGURE 11NORTH AMERICA ESTIMATED TO ACCOUNT FOR LARGEST SHARE IN 202342
4PREMIUM INSIGHTS43
4.1ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN CAUSAL AI MARKET43
FIGURE 12HIGH DEMAND FOR PLATFORMS TO TRANSFER DATA FROM PHYSICAL PREMISES TO CLOUD43
4.2CAUSAL AI MARKET, BY VERTICAL43
FIGURE 13HEALTHCARE & LIFE SCIENCES TO ACCOUNT FOR LARGEST SIZE DURING FORECAST PERIOD43
4.3CAUSAL AI MARKET, BY REGION44
FIGURE 14NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE BY 202844
4.4CAUSAL AI MARKET, BY OFFERING AND KEY VERTICAL44
FIGURE 15PLATFORMS AND HEALTHCARE & LIFE SCIENCES SEGMENTS TO ACCOUNT FOR SIGNIFICANT RESPECTIVE SHARES BY 203044
5MARKET OVERVIEW AND INDUSTRY TRENDS45
5.1INTRODUCTION45
5.2MARKET DYNAMICS45
FIGURE 16CAUSAL AI MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES45
5.2.1DRIVERS46
5.2.1.1Importance of causal inference models in various fields46
5.2.1.2Emergence of causal AI to overcome limitations of current AI46
5.2.1.3Operationalizing AI initiatives46
5.2.2RESTRAINTS47
5.2.2.1Lack of interpretability and explainability47
5.2.2.2Acquiring and preparing high-quality data47
5.2.3OPPORTUNITIES47
5.2.3.1Potential to revolutionize healthcare field47
5.2.3.2Technological advancements48
5.2.4CHALLENGES48
5.2.4.1Causal inference from complex data sets48
5.2.4.2Lack of standardization48
5.3CASE STUDY ANALYSIS49
5.3.1ACCELERATING MODEL VALIDATION WITH CAUSAL AI49
5.3.2UNLOCKING REVENUE GROWTH WITH CAUSAL AI-POWERED PRICING AND PROMOTION OPTIMIZATION49
5.3.3USING CAUSAL AI TO ENHANCE CUSTOMER RETENTION STRATEGIES50
5.3.4REVOLUTIONIZING DATA PROVIDER INDUSTRY WITH CAUSAL AI51
5.3.5USE OF CAUSAL AI FOR CUSTOMER SEGMENTATION51
5.4ECOSYSTEM ANALYSIS52
FIGURE 17ECOSYSTEM ANALYSIS52
TABLE 7PLATFORM PROVIDERS52
TABLE 8LIBRARY PROVIDERS53
TABLE 9AI FRAMEWORK PROVIDERS53
TABLE 10REGULATORY BODIES53
5.5KEY STEPS IN USING CAUSAL AI54
5.5.1DATA COLLECTION & PREPARATION54
5.5.2CAUSAL INFERENCE54
5.5.3ML MODELS54
5.5.4INTERPRETABILITY & EXPLAINABILITY55
5.5.5VALIDATION & TESTING55
5.6CORRELATION-BASED AI VS. CAUSAL AI55
TABLE 11CORRELATION-BASED AI VS. CAUSAL AI56
5.7TECHNOLOGY ANALYSIS56
5.7.1RELATED TECHNOLOGIES56
5.7.1.1Supervised learning56
5.7.1.2Unsupervised learning57
5.7.1.3Natural language processing57
5.7.1.4Predictive analytics57
5.7.1.5Deep learning57
5.7.1.6AI governance (ethical, explainable, and responsible AI)58
5.7.1.7Bayesian networks58
5.7.2ALLIED TECHNOLOGIES58
5.7.2.1Cloud computing58
5.7.2.2Robotics59
5.7.2.3Federated learning59
5.7.2.4Digital twin59
5.8BEST PRACTICES IN CAUSAL AI MARKET60
5.9FUTURE DIRECTIONS OF CAUSAL AI LANDSCAPE60
TABLE 12SHORT-TERM ROADMAP, 2023–202560
TABLE 13MID-TERM ROADMAP, 2026–202861
TABLE 14LONG-TERM ROADMAP, 2029–203061
5.10BRIEF HISTORY OF EVOLUTION OF CAUSAL AI62
5.11VALUE CHAIN ANALYSIS63
FIGURE 18CAUSAL AI MARKET: VALUE CHAIN ANALYSIS63
5.11.1DATA COLLECTION & PREPARATION63
5.11.2ALGORITHM DEVELOPMENT63
5.11.3MODEL TRAINING64
5.11.4MODEL TESTING & VALIDATION64
5.11.5DEPLOYMENT & INTEGRATION64
5.11.6MAINTENANCE & SUPPORT64
5.12PRICING MODEL ANALYSIS65
TABLE 15PRICING MODELS65
5.13PATENT ANALYSIS67
5.13.1METHODOLOGY67
5.13.2DOCUMENT TYPE67
TABLE 16PATENTS FILED, 2013–202367
5.13.3INNOVATION & PATENT APPLICATIONS67
FIGURE 19TOTAL NUMBER OF PATENTS GRANTED, 2013–202367
5.13.3.1Top Applicants68
FIGURE 20TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2013–202268
TABLE 17US: TOP 20 PATENT OWNERS, 2013–202268
TABLE 18LIST OF PATENTS IN CAUSAL AI MARKET, 2021–202369
5.14PORTER’S FIVE FORCES ANALYSIS70
FIGURE 21PORTER’S FIVE FORCES ANALYSIS70
TABLE 19PORTER’S FIVE FORCES ANALYSIS70
5.14.1THREAT FROM NEW ENTRANTS71
5.14.2THREAT FROM SUBSTITUTES71
5.14.3BARGAINING POWER OF SUPPLIERS71
5.14.4BARGAINING POWER OF BUYERS71
5.14.5INTENSITY OF COMPETITIVE RIVALRY71
5.15REGULATORY LANDSCAPE72
5.15.1REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS72
TABLE 20NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS72
TABLE 21EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS73
TABLE 22ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS75
TABLE 23ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS75
5.15.1.1North America76
5.15.1.1.1US76
5.15.1.1.2Canada76
5.15.1.2Europe76
5.15.1.3Asia Pacific76
5.15.1.3.1South Korea76
5.15.1.3.2China76
5.15.1.3.3India77
5.15.1.4Middle East & Africa77
5.15.1.4.1UAE77
5.15.1.4.2KSA77
5.15.1.4.3Bahrain77
5.15.1.5Latin America77
5.15.1.5.1Brazil77
5.15.1.5.2Mexico77
5.16KEY STAKEHOLDERS AND BUYING CRITERIA78
5.16.1KEY STAKEHOLDERS IN BUYING PROCESS78
FIGURE 22INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS IN TOP THREE VERTICALS78
TABLE 24INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS IN TOP THREE VERTICALS78
5.16.2BUYING CRITERIA79
FIGURE 23KEY BUYING CRITERIA IN TOP THREE VERTICALS79
TABLE 25KEY BUYING CRITERIA IN TOP THREE VERTICALS79
5.17DISRUPTIONS IMPACTING BUYERS/CLIENTS IN CAUSAL AI MARKET80
FIGURE 24DISRUPTIONS IMPACTING BUYERS/CLIENTS80
5.18KEY CONFERENCES & EVENTS80
TABLE 26DETAILED LIST OF CONFERENCES & EVENTS, 2023–202480
5.19BUSINESS MODELS OF CAUSAL AI81
5.19.1POTENTIAL OUTCOME FRAMEWORK81
5.19.2CAUSAL GRAPH MODEL81
5.20APPROACHES TO CAUSAL INFERENCES81
5.20.1CORRELATIONS81
5.20.2CAUSATION82
5.20.3INTERVENTIONS82
5.20.4COUNTERFACTUALS82
5.20.5SYSTEM MODELING82
5.21CAUSAL AI TECHNIQUES & METHODS82
5.21.1MACHINE LEARNING ALGORITHMS82
5.21.1.1Regression-based methods83
5.21.1.2Decision trees and random forests83
5.21.1.3K-nearest neighbor algorithms83
5.21.1.4Other ML algorithms83
5.21.2BAYESIAN NETWORKS83
5.21.2.1Directed acyclic graphs (DAGs)84
5.21.2.2Structural causal models (SCMs)84
5.21.2.3Counterfactual DAGs84
5.21.2.4Other Bayesian networks84
5.21.3STRUCTURAL EQUATION MODELS84
5.21.3.1Path analysis (DAGs)85
5.21.3.2Confirmatory factor analysis (CFA)85
5.21.3.3Partial least squares (PLS)85
5.21.3.4Other structural equation models85
5.21.4COUNTERFACTUAL ANALYSIS85
5.21.4.1Propensity score matching (PSM)86
5.21.4.2Difference-in-Differences (DiD)86
5.21.4.3Instrumental variables (IV)86
5.21.4.4Regression discontinuity design (RDD)86
6CAUSAL AI MARKET, BY OFFERING87
6.1INTRODUCTION88
6.1.1OFFERING: CAUSAL AI MARKET DRIVERS88
FIGURE 25CAUSAL AI SERVICES MARKET TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD88
TABLE 27CAUSAL AI MARKET, BY OFFERING, 2020–2022 (USD THOUSAND)89
TABLE 28CAUSAL AI MARKET, BY OFFERING, 2023–2030 (USD THOUSAND)89
6.2PLATFORMS89
6.2.1DEMAND FOR DATA-DRIVEN DECISION-MAKING AND MORE ACCURATE PREDICTIONS AND INSIGHTS89
TABLE 29PLATFORMS: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)89
TABLE 30PLATFORMS: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)90
6.2.2CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT90
FIGURE 26ON-PREMISE PLATFORM DEPLOYMENT TO WITNESS HIGHER CAGR DURING FORECAST PERIOD90
TABLE 31CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2020–2022 (USD THOUSAND)91
TABLE 32CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2023–2030 (USD THOUSAND)91
6.2.2.1On-premises91
6.2.2.1.1Potential for greater customization and integration91
TABLE 33ON-PREMISES: CAUSAL AI PLATFORMS MARKET, BY REGION, 2020–2022 (USD THOUSAND)91
TABLE 34ON-PREMISES: CAUSAL AI PLATFORMS MARKET, BY REGION, 2023–2030 (USD THOUSAND)92
6.2.2.2Cloud92
6.2.2.2.1Potential for greater accessibility92
TABLE 35CLOUD: CAUSAL AI PLATFORMS MARKET, BY REGION, 2020–2022 (USD THOUSAND)92
TABLE 36CLOUD: CAUSAL AI PLATFORMS MARKET, BY REGION, 2023–2030 (USD THOUSAND)93
6.3SERVICES93
6.3.1VALUABLE RESOURCES AVAILABLE FOR THOSE LACKING INTERNAL PROFICIENCY93
FIGURE 27TRAINING, SUPPORT, AND MAINTENANCE SERVICES TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD93
TABLE 37CAUSAL AI MARKET, BY SERVICE, 2020–2022 (USD THOUSAND)94
TABLE 38CAUSAL AI MARKET, BY SERVICE, 2023–2030 (USD THOUSAND)94
6.3.2CONSULTING SERVICES94
6.3.2.1Expert guidance to make informed decisions and achieve better results94
TABLE 39CONSULTING SERVICES: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)94
TABLE 40CONSULTING SERVICES: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)95
6.3.3DEPLOYMENT & INTEGRATION95
6.3.3.1Focus on practical aspects of implementing causal inference95
TABLE 41DEPLOYMENT & INTEGRATION: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)95
TABLE 42DEPLOYMENT & INTEGRATION: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)95
6.3.4TRAINING, SUPPORT, AND MAINTENANCE96
6.3.4.1Need for ongoing training and support to ensure optimal model performance and accuracy96
TABLE 43TRAINING, SUPPORT, AND MAINTENANCE: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)96
TABLE 44TRAINING, SUPPORT, AND MAINTENANCE: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)96
7CAUSAL AI MARKET, BY VERTICAL97
7.1INTRODUCTION98
7.1.1VERTICAL: CAUSAL AI MARKET DRIVERS98
FIGURE 28HEALTHCARE & LIFE SCIENCES VERTICAL TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD98
TABLE 45CAUSAL AI MARKET, BY VERTICAL, 2020–2022 (USD THOUSAND)99
TABLE 46CAUSAL AI MARKET, BY VERTICAL, 2023–2030 (USD THOUSAND)99
7.2BFSI100
7.2.1HIGHLY COMPETITIVE WITH SEVERAL OPERATIONAL PLAYERS100
TABLE 47BFSI: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)100
TABLE 48BFSI: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)100
7.2.2USE CASES: BFSI101
7.3HEALTHCARE & LIFE SCIENCES102
7.3.1INVESTMENT BY STARTUPS IN DEVELOPING BLOOD TESTS FOR EARLY CANCER DETECTION102
TABLE 49HEALTHCARE & LIFE SCIENCES: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)102
TABLE 50HEALTHCARE & LIFE SCIENCES: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)102
7.3.2USE CASES: HEALTHCARE & LIFE SCIENCES103
7.4RETAIL & ECOMMERCE104
7.4.1OPTIMIZING PRODUCT INVENTORY FOR RETAILERS AND DISCOVERY FOR CUSTOMERS104
TABLE 51RETAIL & ECOMMERCE: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)104
TABLE 52RETAIL & ECOMMERCE: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)104
7.4.2USE CASES: RETAIL & ECOMMERCE105
7.5MANUFACTURING106
7.5.1ANALYZING DATA FROM PRODUCTION PROCESSES TO IDENTIFY DEFECTS AND QUALITY ISSUES IN REAL TIME106
TABLE 53MANUFACTURING: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)106
TABLE 54MANUFACTURING: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)106
7.5.2USE CASES: MANUFACTURING107
7.6TRANSPORTATION & LOGISTICS108
7.6.1OPTIMIZING VEHICLE ROUTES, TRACKING SHIPMENTS IN REAL TIME, AND IMPROVING DELIVERY TIMES108
TABLE 55TRANSPORTATION & LOGISTICS: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)108
TABLE 56TRANSPORTATION & LOGISTICS: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)108
7.6.2USE CASES: TRANSPORTATION & LOGISTICS109
7.7OTHER VERTICALS110
TABLE 57OTHER VERTICALS: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)110
TABLE 58OTHER VERTICALS: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)111
8CAUSAL AI MARKET, BY REGION112
8.1INTRODUCTION113
FIGURE 29NORTH AMERICA TO BE LARGEST MARKET DURING FORECAST PERIOD113
FIGURE 30JAPAN TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD113
TABLE 59CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)114
TABLE 60CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)114
8.2NORTH AMERICA114
8.2.1NORTH AMERICA: CAUSAL AI MARKET DRIVERS114
8.2.2NORTH AMERICA: IMPACT OF RECESSION115
FIGURE 31NORTH AMERICA: MARKET SNAPSHOT115
TABLE 61NORTH AMERICA: CAUSAL AI MARKET, BY OFFERING, 2020–2022 (USD THOUSAND)116
TABLE 62NORTH AMERICA: CAUSAL AI MARKET, BY OFFERING, 2023–2030 (USD THOUSAND)116
TABLE 63NORTH AMERICA: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2020–2022 (USD THOUSAND)116
TABLE 64NORTH AMERICA: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2023–2030 (USD THOUSAND)116
TABLE 65NORTH AMERICA: CAUSAL AI MARKET, BY SERVICE, 2020–2022 (USD THOUSAND)116
TABLE 66NORTH AMERICA: CAUSAL AI MARKET, BY SERVICE, 2023–2030 (USD THOUSAND)117
TABLE 67NORTH AMERICA: CAUSAL AI MARKET, BY VERTICAL, 2020–2022 (USD THOUSAND)117
TABLE 68NORTH AMERICA: CAUSAL AI MARKET, BY VERTICAL, 2023–2030 (USD THOUSAND)117
TABLE 69NORTH AMERICA: CAUSAL AI MARKET, BY COUNTRY, 2020–2022 (USD THOUSAND)117
TABLE 70NORTH AMERICA: CAUSAL AI MARKET, BY COUNTRY, 2023–2030 (USD THOUSAND)118
8.2.3US118
8.2.3.1Research and investment by leading universities and organizations118
8.2.4CANADA118
8.2.4.1Rise in adoption of machine learning applications in various industries118
8.3EUROPE119
8.3.1EUROPE: CAUSAL AI MARKET DRIVERS119
8.3.2EUROPE: IMPACT OF RECESSION119
TABLE 71EUROPE: CAUSAL AI MARKET, BY OFFERING, 2020–2022 (USD THOUSAND)120
TABLE 72EUROPE: CAUSAL AI MARKET, BY OFFERING, 2023–2030 (USD THOUSAND)120
TABLE 73EUROPE: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2020–2022 (USD THOUSAND)120
TABLE 74EUROPE: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2023–2030 (USD THOUSAND)120
TABLE 75EUROPE: CAUSAL AI MARKET, BY SERVICE, 2020–2022 (USD THOUSAND)120
TABLE 76EUROPE: CAUSAL AI MARKET, BY SERVICE, 2023–2030 (USD THOUSAND)121
TABLE 77EUROPE: CAUSAL AI MARKET, BY VERTICAL, 2020–2022 (USD THOUSAND)121
TABLE 78EUROPE: CAUSAL AI MARKET, BY VERTICAL, 2023–2030 (USD THOUSAND)121
TABLE 79EUROPE: CAUSAL AI MARKET, BY COUNTRY, 2020–2022 (USD THOUSAND)122
TABLE 80EUROPE: CAUSAL AI MARKET, BY COUNTRY, 2023–2030 (USD THOUSAND)122
8.3.3UK122
8.3.3.1Businesses increasingly seeking to leverage benefits of AI and ML122
8.3.4GERMANY123
8.3.4.1Strong IT infrastructure and robust regulatory framework123
8.3.5FRANCE123
8.3.5.1Thriving startup ecosystem123
8.3.6REST OF EUROPE123
8.4REST OF THE WORLD (ROW)123
8.4.1REST OF THE WORLD: CAUSAL AI MARKET DRIVERS124
8.4.2ROW: IMPACT OF RECESSION124
TABLE 81ROW: CAUSAL AI MARKET, BY OFFERING, 2020–2022 (USD THOUSAND)125
TABLE 82ROW: CAUSAL AI MARKET, BY OFFERING, 2023–2030 (USD THOUSAND)125
TABLE 83ROW: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2020–2022 (USD THOUSAND)125
TABLE 84ROW: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2023–2030 (USD THOUSAND)125
TABLE 85ROW: CAUSAL AI MARKET, BY SERVICE, 2020–2022 (USD THOUSAND)125
TABLE 86ROW: CAUSAL AI MARKET, BY SERVICE, 2023–2030 (USD THOUSAND)126
TABLE 87ROW: CAUSAL AI MARKET, BY VERTICAL, 2020–2022 (USD THOUSAND)126
TABLE 88ROW: CAUSAL AI MARKET, BY VERTICAL, 2023–2030 (USD THOUSAND)126
TABLE 89ROW: CAUSAL AI MARKET, BY COUNTRY, 2020–2022 (USD THOUSAND)127
TABLE 90ROW: CAUSAL AI MARKET, BY COUNTRY, 2023–2030 (USD THOUSAND)127
8.4.3ISRAEL127
8.4.3.1Adoption of AI-based solutions in healthcare127
8.4.4CHINA128
8.4.4.1Initiatives such as Next Generation Artificial Intelligence Development Plan128
8.4.5JAPAN128
8.4.5.1Dedicated research initiatives such as Artificial Intelligence Technology Strategy128
8.4.6OTHERS IN ROW128
9COMPETITIVE LANDSCAPE130
9.1OVERVIEW130
9.2KEY PLAYER STRATEGIES130
TABLE 91OVERVIEW OF KEY PRODUCTS LAUNCHED BY PROMINENT PLAYERS IN CAUSAL AI MARKET130
9.3REVENUE ANALYSIS131
FIGURE 32REVENUE ANALYSIS FOR KEY PUBLIC COMPANIES, 2020–2022 (USD MILLION)131
9.4MARKET SHARE ANALYSIS132
FIGURE 33CAUSAL AI MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2022132
TABLE 92OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN CAUSAL AI MARKET132
9.5COMPANY EVALUATION QUADRANT133
9.5.1STARS133
9.5.2EMERGING LEADERS133
9.5.3PERVASIVE PLAYERS133
9.5.4PARTICIPANTS133
FIGURE 34KEY CAUSAL AI MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2023134
9.6COMPETITIVE BENCHMARKING135
TABLE 93COMPETITIVE BENCHMARKING OF KEY PLAYERS, 2022135
TABLE 94DETAILED LIST OF KEY STARTUPS/SMES135
TABLE 95COMPETITIVE BENCHMARKING OF STARTUPS/SMES136
9.7CAUSAL AI PRODUCT LANDSCAPE137
9.7.1COMPARATIVE ANALYSIS OF CAUSAL AI PRODUCTS137
TABLE 96COMPARATIVE ANALYSIS OF CAUSAL AI PRODUCTS137
FIGURE 35COMPARATIVE ANALYSIS OF CAUSAL AI PRODUCTS137
9.7.2VALUATION AND FINANCIAL METRICS OF KEY CAUSAL AI VENDORS138
FIGURE 36FINANCIAL METRICS OF KEY CAUSAL AI VENDORS138
FIGURE 37YTD PRICE TOTAL RETURN AND STOCK BETA OF KEY CAUSAL AI VENDORS138
9.8COMPETITIVE SCENARIO139
9.8.1PRODUCT LAUNCHES139
TABLE 97PRODUCT LAUNCHES, MAY 2021–FEBRUARY 2023139
9.8.2DEALS140
TABLE 98DEALS, OCTOBER 2020–FEBRUARY 2023140
10COMPANY PROFILES141
10.1INTRODUCTION141
(Business overview, Products/Solutions/Services offered, Recent developments & MnM View)*
10.2KEY PLAYERS141
10.2.1IBM141
TABLE 99IBM: BUSINESS OVERVIEW141
FIGURE 38IBM: COMPANY SNAPSHOT142
TABLE 100IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED142
TABLE 101IBM: PRODUCT LAUNCHES143
TABLE 102IBM: DEALS144
10.2.2MICROSOFT146
TABLE 103MICROSOFT: BUSINESS OVERVIEW146
FIGURE 39MICROSOFT: COMPANY SNAPSHOT147
TABLE 104MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED147
TABLE 105MICROSOFT: PRODUCT LAUNCHES148
TABLE 106MICROSOFT: DEALS149
10.2.3GOOGLE150
TABLE 107GOOGLE: BUSINESS OVERVIEW150
FIGURE 40GOOGLE: FINANCIAL OVERVIEW151
TABLE 108GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED151
TABLE 109GOOGLE: PRODUCT LAUNCHES152
TABLE 110GOOGLE: DEALS153
10.2.4AWS155
TABLE 111AWS: BUSINESS OVERVIEW155
FIGURE 41AWS: FINANCIAL OVERVIEW155
TABLE 112AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED156
TABLE 113AWS: PRODUCT LAUNCHES156
TABLE 114AWS: DEALS157
10.2.5DYNATRACE160
TABLE 115DYNATRACE: BUSINESS OVERVIEW160
FIGURE 42DYNATRACE: FINANCIAL OVERVIEW161
TABLE 116DYNATRACE: PRODUCTS/SOLUTIONS/SERVICES OFFERED161
TABLE 117DYNATRACE: PRODUCT LAUNCHES162
TABLE 118DYNATRACE: DEALS163
10.2.6H2O.AI164
TABLE 119H2O.AI: BUSINESS OVERVIEW164
TABLE 120H2O.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED164
TABLE 121H2O.AI: PRODUCT LAUNCHES165
TABLE 122H2O.AI: DEALS166
10.2.7DATAROBOT167
TABLE 123DATAROBOT: BUSINESS OVERVIEW167
TABLE 124DATAROBOT: PRODUCTS/SOLUTIONS/SERVICES OFFERED167
TABLE 125DATAROBOT: DEALS168
10.2.8CAUSALENS169
TABLE 126CAUSALENS: BUSINESS OVERVIEW169
TABLE 127CAUSALENS: PRODUCTS/SOLUTIONS/SERVICES OFFERED169
TABLE 128CAUSALENS: PRODUCT LAUNCHES170
TABLE 129CAUSALENS: DEALS170
10.2.9CAUSALITY LINK171
TABLE 130CAUSALITY LINK: BUSINESS OVERVIEW171
TABLE 131CAUSALITY LINK: PRODUCTS/SOLUTIONS/SERVICES OFFERED171
TABLE 132CAUSALITY LINK: PRODUCT LAUNCHES172
TABLE 133CAUSALITY LINK: DEALS172
10.2.10AITIA173
TABLE 134AITIA: BUSINESS OVERVIEW173
TABLE 135AITIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED173
TABLE 136AITIA: PRODUCT LAUNCHES174
TABLE 137AITIA: DEALS174
*Details on Business overview, Products/Solutions/Services offered, Recent developments & MnM View might not be captured in case of unlisted companies.
10.3OTHER KEY PLAYERS176
10.3.1PARABOLE.AI176
10.3.2CAUSALIS176
10.3.3OMICS DATA AUTOMATION177
10.3.4INCRMNTAL177
10.3.5CAUSALY178
10.3.6LOGILITY178
10.3.7COGNINO.AI179
10.3.8COGNIZANT180
10.3.9SCALNYX181
10.3.10GEMINOS181
11ADJACENT AND RELATED MARKETS182
11.1AI GOVERNANCE MARKET182
11.1.1MARKET DEFINITION182
11.1.2MARKET OVERVIEW182
TABLE 138AI GOVERNANCE MARKET SIZE AND GROWTH RATE, 2020–2026 (USD MILLION, Y-O-Y%)182
11.1.3AI GOVERNANCE, BY COMPONENT183
TABLE 139AI GOVERNANCE MARKET, BY COMPONENT, 2020–2026 (USD MILLION)183
11.1.4AI GOVERNANCE MARKET, BY SOLUTION183
TABLE 140AI GOVERNANCE MARKET, BY SOLUTION, 2020–2026 (USD MILLION)183
11.1.5AI GOVERNANCE MARKET, BY DEPLOYMENT MODE183
TABLE 141AI GOVERNANCE MARKET, BY DEPLOYMENT MODE, 2020–2026 (USD MILLION)184
11.1.6AI GOVERNANCE MARKET, BY ORGANIZATION SIZE184
TABLE 142AI GOVERNANCE MARKET, BY ORGANIZATION SIZE, 2020–2026 (USD MILLION)184
11.1.7AI GOVERNANCE MARKET, BY VERTICAL184
TABLE 143AI GOVERNANCE MARKET, BY VERTICAL, 2020–2026 (USD MILLION)185
11.1.8AI GOVERNANCE MARKET, BY REGION185
TABLE 144AI GOVERNANCE MARKET, BY REGION, 2020–2026 (USD MILLION)185
11.2ARTIFICIAL INTELLIGENCE MARKET186
11.2.1MARKET DEFINITION186
11.2.2MARKET OVERVIEW186
11.2.3ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING186
TABLE 145ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD BILLION)187
TABLE 146ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022–2027 (USD BILLION)187
11.2.4ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY187
TABLE 147ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)187
TABLE 148ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)188
11.2.5ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE188
TABLE 149ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)188
TABLE 150ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION)188
11.2.6ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE189
TABLE 151ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2016–2021 (USD BILLION)189
TABLE 152ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2022–2027 (USD BILLION)189
11.2.7ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION190
TABLE 153ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION)190
TABLE 154ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION)190
11.2.8ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL191
TABLE 155ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016–2021 (USD BILLION)191
TABLE 156ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022–2027 (USD BILLION)191
11.2.9ARTIFICIAL INTELLIGENCE MARKET, BY REGION192
TABLE 157ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION)192
TABLE 158ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION)192
12APPENDIX193
12.1DISCUSSION GUIDE193
12.2KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL197
12.3CUSTOMIZATION OPTIONS199
12.4RELATED REPORTS199
12.5AUTHOR DETAILS200
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.
1INTRODUCTION22
1.1STUDY OBJECTIVES22
1.2MARKET DEFINITION22
1.3INCLUSIONS AND EXCLUSIONS23
1.4MARKET SCOPE23
1.4.1MARKET SEGMENTATION23
1.4.2REGIONS COVERED24
1.4.3YEARS CONSIDERED24
1.5CURRENCY CONSIDERED25
TABLE 1USD EXCHANGE RATES, 2020–202225
1.6STAKEHOLDERS25
2RESEARCH METHODOLOGY26
2.1RESEARCH DATA26
FIGURE 1CAUSAL AI MARKET: RESEARCH DESIGN26
2.1.1SECONDARY DATA27
2.1.2PRIMARY DATA27
2.1.2.1Primary interviews28
2.1.2.2Breakup of primary profiles28
2.1.2.3Key industry insights29
2.2DATA TRIANGULATION29
2.3MARKET SIZE ESTIMATION30
FIGURE 2CAUSAL AI MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES30
2.3.1TOP-DOWN APPROACH30
2.3.2BOTTOM-UP APPROACH31
FIGURE 3APPROACH 1 (SUPPLY SIDE): REVENUE FROM OFFERING OF CAUSAL AI MARKET31
FIGURE 4APPROACH 2—BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM OFFERING OF CAUSAL AI PLAYERS32
FIGURE 5APPROACH 3—BOTTOM-UP (SUPPLY SIDE): REVENUE AND SUBSEQUENT MARKET ESTIMATION FROM OFFERING OF CAUSAL AI32
FIGURE 6APPROACH 4—BOTTOM-UP (DEMAND SIDE): SHARE OF CAUSAL AI OFFERING THROUGH OVERALL CAUSAL AI SPENDING33
2.4MARKET FORECAST34
TABLE 2FACTOR ANALYSIS34
2.5ASSUMPTIONS35
TABLE 3RESEARCH ASSUMPTIONS35
2.6LIMITATIONS36
2.7IMPLICATION OF RECESSION ON GLOBAL CAUSAL AI MARKET37
TABLE 4IMPACT OF RECESSION ON GLOBAL CAUSAL AI MARKET37
3EXECUTIVE SUMMARY39
TABLE 5CAUSAL AI MARKET SIZE AND GROWTH RATE, 2020–2022 (USD THOUSAND, Y-O-Y)40
TABLE 6CAUSAL AI MARKET SIZE AND GROWTH RATE, 2023–2030 (USD THOUSAND, Y-O-Y)40
FIGURE 7CAUSAL AI PLATFORMS TO ACCOUNT FOR LARGER MARKET THAN SERVICES IN 202340
FIGURE 8CLOUD DEPLOYMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 202341
FIGURE 9CONSULTING SERVICES TO ACCOUNT FOR LARGEST MARKET IN 202341
FIGURE 10HEALTHCARE & LIFESCIENCES VERTICAL TO ACCOUNT FOR LARGEST MARKET IN 202341
FIGURE 11NORTH AMERICA ESTIMATED TO ACCOUNT FOR LARGEST SHARE IN 202342
4PREMIUM INSIGHTS43
4.1ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN CAUSAL AI MARKET43
FIGURE 12HIGH DEMAND FOR PLATFORMS TO TRANSFER DATA FROM PHYSICAL PREMISES TO CLOUD43
4.2CAUSAL AI MARKET, BY VERTICAL43
FIGURE 13HEALTHCARE & LIFE SCIENCES TO ACCOUNT FOR LARGEST SIZE DURING FORECAST PERIOD43
4.3CAUSAL AI MARKET, BY REGION44
FIGURE 14NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE BY 202844
4.4CAUSAL AI MARKET, BY OFFERING AND KEY VERTICAL44
FIGURE 15PLATFORMS AND HEALTHCARE & LIFE SCIENCES SEGMENTS TO ACCOUNT FOR SIGNIFICANT RESPECTIVE SHARES BY 203044
5MARKET OVERVIEW AND INDUSTRY TRENDS45
5.1INTRODUCTION45
5.2MARKET DYNAMICS45
FIGURE 16CAUSAL AI MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES45
5.2.1DRIVERS46
5.2.1.1Importance of causal inference models in various fields46
5.2.1.2Emergence of causal AI to overcome limitations of current AI46
5.2.1.3Operationalizing AI initiatives46
5.2.2RESTRAINTS47
5.2.2.1Lack of interpretability and explainability47
5.2.2.2Acquiring and preparing high-quality data47
5.2.3OPPORTUNITIES47
5.2.3.1Potential to revolutionize healthcare field47
5.2.3.2Technological advancements48
5.2.4CHALLENGES48
5.2.4.1Causal inference from complex data sets48
5.2.4.2Lack of standardization48
5.3CASE STUDY ANALYSIS49
5.3.1ACCELERATING MODEL VALIDATION WITH CAUSAL AI49
5.3.2UNLOCKING REVENUE GROWTH WITH CAUSAL AI-POWERED PRICING AND PROMOTION OPTIMIZATION49
5.3.3USING CAUSAL AI TO ENHANCE CUSTOMER RETENTION STRATEGIES50
5.3.4REVOLUTIONIZING DATA PROVIDER INDUSTRY WITH CAUSAL AI51
5.3.5USE OF CAUSAL AI FOR CUSTOMER SEGMENTATION51
5.4ECOSYSTEM ANALYSIS52
FIGURE 17ECOSYSTEM ANALYSIS52
TABLE 7PLATFORM PROVIDERS52
TABLE 8LIBRARY PROVIDERS53
TABLE 9AI FRAMEWORK PROVIDERS53
TABLE 10REGULATORY BODIES53
5.5KEY STEPS IN USING CAUSAL AI54
5.5.1DATA COLLECTION & PREPARATION54
5.5.2CAUSAL INFERENCE54
5.5.3ML MODELS54
5.5.4INTERPRETABILITY & EXPLAINABILITY55
5.5.5VALIDATION & TESTING55
5.6CORRELATION-BASED AI VS. CAUSAL AI55
TABLE 11CORRELATION-BASED AI VS. CAUSAL AI56
5.7TECHNOLOGY ANALYSIS56
5.7.1RELATED TECHNOLOGIES56
5.7.1.1Supervised learning56
5.7.1.2Unsupervised learning57
5.7.1.3Natural language processing57
5.7.1.4Predictive analytics57
5.7.1.5Deep learning57
5.7.1.6AI governance (ethical, explainable, and responsible AI)58
5.7.1.7Bayesian networks58
5.7.2ALLIED TECHNOLOGIES58
5.7.2.1Cloud computing58
5.7.2.2Robotics59
5.7.2.3Federated learning59
5.7.2.4Digital twin59
5.8BEST PRACTICES IN CAUSAL AI MARKET60
5.9FUTURE DIRECTIONS OF CAUSAL AI LANDSCAPE60
TABLE 12SHORT-TERM ROADMAP, 2023–202560
TABLE 13MID-TERM ROADMAP, 2026–202861
TABLE 14LONG-TERM ROADMAP, 2029–203061
5.10BRIEF HISTORY OF EVOLUTION OF CAUSAL AI62
5.11VALUE CHAIN ANALYSIS63
FIGURE 18CAUSAL AI MARKET: VALUE CHAIN ANALYSIS63
5.11.1DATA COLLECTION & PREPARATION63
5.11.2ALGORITHM DEVELOPMENT63
5.11.3MODEL TRAINING64
5.11.4MODEL TESTING & VALIDATION64
5.11.5DEPLOYMENT & INTEGRATION64
5.11.6MAINTENANCE & SUPPORT64
5.12PRICING MODEL ANALYSIS65
TABLE 15PRICING MODELS65
5.13PATENT ANALYSIS67
5.13.1METHODOLOGY67
5.13.2DOCUMENT TYPE67
TABLE 16PATENTS FILED, 2013–202367
5.13.3INNOVATION & PATENT APPLICATIONS67
FIGURE 19TOTAL NUMBER OF PATENTS GRANTED, 2013–202367
5.13.3.1Top Applicants68
FIGURE 20TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2013–202268
TABLE 17US: TOP 20 PATENT OWNERS, 2013–202268
TABLE 18LIST OF PATENTS IN CAUSAL AI MARKET, 2021–202369
5.14PORTER’S FIVE FORCES ANALYSIS70
FIGURE 21PORTER’S FIVE FORCES ANALYSIS70
TABLE 19PORTER’S FIVE FORCES ANALYSIS70
5.14.1THREAT FROM NEW ENTRANTS71
5.14.2THREAT FROM SUBSTITUTES71
5.14.3BARGAINING POWER OF SUPPLIERS71
5.14.4BARGAINING POWER OF BUYERS71
5.14.5INTENSITY OF COMPETITIVE RIVALRY71
5.15REGULATORY LANDSCAPE72
5.15.1REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS72
TABLE 20NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS72
TABLE 21EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS73
TABLE 22ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS75
TABLE 23ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS75
5.15.1.1North America76
5.15.1.1.1US76
5.15.1.1.2Canada76
5.15.1.2Europe76
5.15.1.3Asia Pacific76
5.15.1.3.1South Korea76
5.15.1.3.2China76
5.15.1.3.3India77
5.15.1.4Middle East & Africa77
5.15.1.4.1UAE77
5.15.1.4.2KSA77
5.15.1.4.3Bahrain77
5.15.1.5Latin America77
5.15.1.5.1Brazil77
5.15.1.5.2Mexico77
5.16KEY STAKEHOLDERS AND BUYING CRITERIA78
5.16.1KEY STAKEHOLDERS IN BUYING PROCESS78
FIGURE 22INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS IN TOP THREE VERTICALS78
TABLE 24INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS IN TOP THREE VERTICALS78
5.16.2BUYING CRITERIA79
FIGURE 23KEY BUYING CRITERIA IN TOP THREE VERTICALS79
TABLE 25KEY BUYING CRITERIA IN TOP THREE VERTICALS79
5.17DISRUPTIONS IMPACTING BUYERS/CLIENTS IN CAUSAL AI MARKET80
FIGURE 24DISRUPTIONS IMPACTING BUYERS/CLIENTS80
5.18KEY CONFERENCES & EVENTS80
TABLE 26DETAILED LIST OF CONFERENCES & EVENTS, 2023–202480
5.19BUSINESS MODELS OF CAUSAL AI81
5.19.1POTENTIAL OUTCOME FRAMEWORK81
5.19.2CAUSAL GRAPH MODEL81
5.20APPROACHES TO CAUSAL INFERENCES81
5.20.1CORRELATIONS81
5.20.2CAUSATION82
5.20.3INTERVENTIONS82
5.20.4COUNTERFACTUALS82
5.20.5SYSTEM MODELING82
5.21CAUSAL AI TECHNIQUES & METHODS82
5.21.1MACHINE LEARNING ALGORITHMS82
5.21.1.1Regression-based methods83
5.21.1.2Decision trees and random forests83
5.21.1.3K-nearest neighbor algorithms83
5.21.1.4Other ML algorithms83
5.21.2BAYESIAN NETWORKS83
5.21.2.1Directed acyclic graphs (DAGs)84
5.21.2.2Structural causal models (SCMs)84
5.21.2.3Counterfactual DAGs84
5.21.2.4Other Bayesian networks84
5.21.3STRUCTURAL EQUATION MODELS84
5.21.3.1Path analysis (DAGs)85
5.21.3.2Confirmatory factor analysis (CFA)85
5.21.3.3Partial least squares (PLS)85
5.21.3.4Other structural equation models85
5.21.4COUNTERFACTUAL ANALYSIS85
5.21.4.1Propensity score matching (PSM)86
5.21.4.2Difference-in-Differences (DiD)86
5.21.4.3Instrumental variables (IV)86
5.21.4.4Regression discontinuity design (RDD)86
6CAUSAL AI MARKET, BY OFFERING87
6.1INTRODUCTION88
6.1.1OFFERING: CAUSAL AI MARKET DRIVERS88
FIGURE 25CAUSAL AI SERVICES MARKET TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD88
TABLE 27CAUSAL AI MARKET, BY OFFERING, 2020–2022 (USD THOUSAND)89
TABLE 28CAUSAL AI MARKET, BY OFFERING, 2023–2030 (USD THOUSAND)89
6.2PLATFORMS89
6.2.1DEMAND FOR DATA-DRIVEN DECISION-MAKING AND MORE ACCURATE PREDICTIONS AND INSIGHTS89
TABLE 29PLATFORMS: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)89
TABLE 30PLATFORMS: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)90
6.2.2CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT90
FIGURE 26ON-PREMISE PLATFORM DEPLOYMENT TO WITNESS HIGHER CAGR DURING FORECAST PERIOD90
TABLE 31CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2020–2022 (USD THOUSAND)91
TABLE 32CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2023–2030 (USD THOUSAND)91
6.2.2.1On-premises91
6.2.2.1.1Potential for greater customization and integration91
TABLE 33ON-PREMISES: CAUSAL AI PLATFORMS MARKET, BY REGION, 2020–2022 (USD THOUSAND)91
TABLE 34ON-PREMISES: CAUSAL AI PLATFORMS MARKET, BY REGION, 2023–2030 (USD THOUSAND)92
6.2.2.2Cloud92
6.2.2.2.1Potential for greater accessibility92
TABLE 35CLOUD: CAUSAL AI PLATFORMS MARKET, BY REGION, 2020–2022 (USD THOUSAND)92
TABLE 36CLOUD: CAUSAL AI PLATFORMS MARKET, BY REGION, 2023–2030 (USD THOUSAND)93
6.3SERVICES93
6.3.1VALUABLE RESOURCES AVAILABLE FOR THOSE LACKING INTERNAL PROFICIENCY93
FIGURE 27TRAINING, SUPPORT, AND MAINTENANCE SERVICES TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD93
TABLE 37CAUSAL AI MARKET, BY SERVICE, 2020–2022 (USD THOUSAND)94
TABLE 38CAUSAL AI MARKET, BY SERVICE, 2023–2030 (USD THOUSAND)94
6.3.2CONSULTING SERVICES94
6.3.2.1Expert guidance to make informed decisions and achieve better results94
TABLE 39CONSULTING SERVICES: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)94
TABLE 40CONSULTING SERVICES: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)95
6.3.3DEPLOYMENT & INTEGRATION95
6.3.3.1Focus on practical aspects of implementing causal inference95
TABLE 41DEPLOYMENT & INTEGRATION: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)95
TABLE 42DEPLOYMENT & INTEGRATION: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)95
6.3.4TRAINING, SUPPORT, AND MAINTENANCE96
6.3.4.1Need for ongoing training and support to ensure optimal model performance and accuracy96
TABLE 43TRAINING, SUPPORT, AND MAINTENANCE: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)96
TABLE 44TRAINING, SUPPORT, AND MAINTENANCE: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)96
7CAUSAL AI MARKET, BY VERTICAL97
7.1INTRODUCTION98
7.1.1VERTICAL: CAUSAL AI MARKET DRIVERS98
FIGURE 28HEALTHCARE & LIFE SCIENCES VERTICAL TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD98
TABLE 45CAUSAL AI MARKET, BY VERTICAL, 2020–2022 (USD THOUSAND)99
TABLE 46CAUSAL AI MARKET, BY VERTICAL, 2023–2030 (USD THOUSAND)99
7.2BFSI100
7.2.1HIGHLY COMPETITIVE WITH SEVERAL OPERATIONAL PLAYERS100
TABLE 47BFSI: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)100
TABLE 48BFSI: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)100
7.2.2USE CASES: BFSI101
7.3HEALTHCARE & LIFE SCIENCES102
7.3.1INVESTMENT BY STARTUPS IN DEVELOPING BLOOD TESTS FOR EARLY CANCER DETECTION102
TABLE 49HEALTHCARE & LIFE SCIENCES: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)102
TABLE 50HEALTHCARE & LIFE SCIENCES: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)102
7.3.2USE CASES: HEALTHCARE & LIFE SCIENCES103
7.4RETAIL & ECOMMERCE104
7.4.1OPTIMIZING PRODUCT INVENTORY FOR RETAILERS AND DISCOVERY FOR CUSTOMERS104
TABLE 51RETAIL & ECOMMERCE: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)104
TABLE 52RETAIL & ECOMMERCE: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)104
7.4.2USE CASES: RETAIL & ECOMMERCE105
7.5MANUFACTURING106
7.5.1ANALYZING DATA FROM PRODUCTION PROCESSES TO IDENTIFY DEFECTS AND QUALITY ISSUES IN REAL TIME106
TABLE 53MANUFACTURING: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)106
TABLE 54MANUFACTURING: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)106
7.5.2USE CASES: MANUFACTURING107
7.6TRANSPORTATION & LOGISTICS108
7.6.1OPTIMIZING VEHICLE ROUTES, TRACKING SHIPMENTS IN REAL TIME, AND IMPROVING DELIVERY TIMES108
TABLE 55TRANSPORTATION & LOGISTICS: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)108
TABLE 56TRANSPORTATION & LOGISTICS: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)108
7.6.2USE CASES: TRANSPORTATION & LOGISTICS109
7.7OTHER VERTICALS110
TABLE 57OTHER VERTICALS: CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)110
TABLE 58OTHER VERTICALS: CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)111
8CAUSAL AI MARKET, BY REGION112
8.1INTRODUCTION113
FIGURE 29NORTH AMERICA TO BE LARGEST MARKET DURING FORECAST PERIOD113
FIGURE 30JAPAN TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD113
TABLE 59CAUSAL AI MARKET, BY REGION, 2020–2022 (USD THOUSAND)114
TABLE 60CAUSAL AI MARKET, BY REGION, 2023–2030 (USD THOUSAND)114
8.2NORTH AMERICA114
8.2.1NORTH AMERICA: CAUSAL AI MARKET DRIVERS114
8.2.2NORTH AMERICA: IMPACT OF RECESSION115
FIGURE 31NORTH AMERICA: MARKET SNAPSHOT115
TABLE 61NORTH AMERICA: CAUSAL AI MARKET, BY OFFERING, 2020–2022 (USD THOUSAND)116
TABLE 62NORTH AMERICA: CAUSAL AI MARKET, BY OFFERING, 2023–2030 (USD THOUSAND)116
TABLE 63NORTH AMERICA: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2020–2022 (USD THOUSAND)116
TABLE 64NORTH AMERICA: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2023–2030 (USD THOUSAND)116
TABLE 65NORTH AMERICA: CAUSAL AI MARKET, BY SERVICE, 2020–2022 (USD THOUSAND)116
TABLE 66NORTH AMERICA: CAUSAL AI MARKET, BY SERVICE, 2023–2030 (USD THOUSAND)117
TABLE 67NORTH AMERICA: CAUSAL AI MARKET, BY VERTICAL, 2020–2022 (USD THOUSAND)117
TABLE 68NORTH AMERICA: CAUSAL AI MARKET, BY VERTICAL, 2023–2030 (USD THOUSAND)117
TABLE 69NORTH AMERICA: CAUSAL AI MARKET, BY COUNTRY, 2020–2022 (USD THOUSAND)117
TABLE 70NORTH AMERICA: CAUSAL AI MARKET, BY COUNTRY, 2023–2030 (USD THOUSAND)118
8.2.3US118
8.2.3.1Research and investment by leading universities and organizations118
8.2.4CANADA118
8.2.4.1Rise in adoption of machine learning applications in various industries118
8.3EUROPE119
8.3.1EUROPE: CAUSAL AI MARKET DRIVERS119
8.3.2EUROPE: IMPACT OF RECESSION119
TABLE 71EUROPE: CAUSAL AI MARKET, BY OFFERING, 2020–2022 (USD THOUSAND)120
TABLE 72EUROPE: CAUSAL AI MARKET, BY OFFERING, 2023–2030 (USD THOUSAND)120
TABLE 73EUROPE: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2020–2022 (USD THOUSAND)120
TABLE 74EUROPE: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2023–2030 (USD THOUSAND)120
TABLE 75EUROPE: CAUSAL AI MARKET, BY SERVICE, 2020–2022 (USD THOUSAND)120
TABLE 76EUROPE: CAUSAL AI MARKET, BY SERVICE, 2023–2030 (USD THOUSAND)121
TABLE 77EUROPE: CAUSAL AI MARKET, BY VERTICAL, 2020–2022 (USD THOUSAND)121
TABLE 78EUROPE: CAUSAL AI MARKET, BY VERTICAL, 2023–2030 (USD THOUSAND)121
TABLE 79EUROPE: CAUSAL AI MARKET, BY COUNTRY, 2020–2022 (USD THOUSAND)122
TABLE 80EUROPE: CAUSAL AI MARKET, BY COUNTRY, 2023–2030 (USD THOUSAND)122
8.3.3UK122
8.3.3.1Businesses increasingly seeking to leverage benefits of AI and ML122
8.3.4GERMANY123
8.3.4.1Strong IT infrastructure and robust regulatory framework123
8.3.5FRANCE123
8.3.5.1Thriving startup ecosystem123
8.3.6REST OF EUROPE123
8.4REST OF THE WORLD (ROW)123
8.4.1REST OF THE WORLD: CAUSAL AI MARKET DRIVERS124
8.4.2ROW: IMPACT OF RECESSION124
TABLE 81ROW: CAUSAL AI MARKET, BY OFFERING, 2020–2022 (USD THOUSAND)125
TABLE 82ROW: CAUSAL AI MARKET, BY OFFERING, 2023–2030 (USD THOUSAND)125
TABLE 83ROW: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2020–2022 (USD THOUSAND)125
TABLE 84ROW: CAUSAL AI PLATFORMS MARKET, BY DEPLOYMENT, 2023–2030 (USD THOUSAND)125
TABLE 85ROW: CAUSAL AI MARKET, BY SERVICE, 2020–2022 (USD THOUSAND)125
TABLE 86ROW: CAUSAL AI MARKET, BY SERVICE, 2023–2030 (USD THOUSAND)126
TABLE 87ROW: CAUSAL AI MARKET, BY VERTICAL, 2020–2022 (USD THOUSAND)126
TABLE 88ROW: CAUSAL AI MARKET, BY VERTICAL, 2023–2030 (USD THOUSAND)126
TABLE 89ROW: CAUSAL AI MARKET, BY COUNTRY, 2020–2022 (USD THOUSAND)127
TABLE 90ROW: CAUSAL AI MARKET, BY COUNTRY, 2023–2030 (USD THOUSAND)127
8.4.3ISRAEL127
8.4.3.1Adoption of AI-based solutions in healthcare127
8.4.4CHINA128
8.4.4.1Initiatives such as Next Generation Artificial Intelligence Development Plan128
8.4.5JAPAN128
8.4.5.1Dedicated research initiatives such as Artificial Intelligence Technology Strategy128
8.4.6OTHERS IN ROW128
9COMPETITIVE LANDSCAPE130
9.1OVERVIEW130
9.2KEY PLAYER STRATEGIES130
TABLE 91OVERVIEW OF KEY PRODUCTS LAUNCHED BY PROMINENT PLAYERS IN CAUSAL AI MARKET130
9.3REVENUE ANALYSIS131
FIGURE 32REVENUE ANALYSIS FOR KEY PUBLIC COMPANIES, 2020–2022 (USD MILLION)131
9.4MARKET SHARE ANALYSIS132
FIGURE 33CAUSAL AI MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2022132
TABLE 92OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN CAUSAL AI MARKET132
9.5COMPANY EVALUATION QUADRANT133
9.5.1STARS133
9.5.2EMERGING LEADERS133
9.5.3PERVASIVE PLAYERS133
9.5.4PARTICIPANTS133
FIGURE 34KEY CAUSAL AI MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2023134
9.6COMPETITIVE BENCHMARKING135
TABLE 93COMPETITIVE BENCHMARKING OF KEY PLAYERS, 2022135
TABLE 94DETAILED LIST OF KEY STARTUPS/SMES135
TABLE 95COMPETITIVE BENCHMARKING OF STARTUPS/SMES136
9.7CAUSAL AI PRODUCT LANDSCAPE137
9.7.1COMPARATIVE ANALYSIS OF CAUSAL AI PRODUCTS137
TABLE 96COMPARATIVE ANALYSIS OF CAUSAL AI PRODUCTS137
FIGURE 35COMPARATIVE ANALYSIS OF CAUSAL AI PRODUCTS137
9.7.2VALUATION AND FINANCIAL METRICS OF KEY CAUSAL AI VENDORS138
FIGURE 36FINANCIAL METRICS OF KEY CAUSAL AI VENDORS138
FIGURE 37YTD PRICE TOTAL RETURN AND STOCK BETA OF KEY CAUSAL AI VENDORS138
9.8COMPETITIVE SCENARIO139
9.8.1PRODUCT LAUNCHES139
TABLE 97PRODUCT LAUNCHES, MAY 2021–FEBRUARY 2023139
9.8.2DEALS140
TABLE 98DEALS, OCTOBER 2020–FEBRUARY 2023140
10COMPANY PROFILES141
10.1INTRODUCTION141
(Business overview, Products/Solutions/Services offered, Recent developments & MnM View)*
10.2KEY PLAYERS141
10.2.1IBM141
TABLE 99IBM: BUSINESS OVERVIEW141
FIGURE 38IBM: COMPANY SNAPSHOT142
TABLE 100IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED142
TABLE 101IBM: PRODUCT LAUNCHES143
TABLE 102IBM: DEALS144
10.2.2MICROSOFT146
TABLE 103MICROSOFT: BUSINESS OVERVIEW146
FIGURE 39MICROSOFT: COMPANY SNAPSHOT147
TABLE 104MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED147
TABLE 105MICROSOFT: PRODUCT LAUNCHES148
TABLE 106MICROSOFT: DEALS149
10.2.3GOOGLE150
TABLE 107GOOGLE: BUSINESS OVERVIEW150
FIGURE 40GOOGLE: FINANCIAL OVERVIEW151
TABLE 108GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED151
TABLE 109GOOGLE: PRODUCT LAUNCHES152
TABLE 110GOOGLE: DEALS153
10.2.4AWS155
TABLE 111AWS: BUSINESS OVERVIEW155
FIGURE 41AWS: FINANCIAL OVERVIEW155
TABLE 112AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED156
TABLE 113AWS: PRODUCT LAUNCHES156
TABLE 114AWS: DEALS157
10.2.5DYNATRACE160
TABLE 115DYNATRACE: BUSINESS OVERVIEW160
FIGURE 42DYNATRACE: FINANCIAL OVERVIEW161
TABLE 116DYNATRACE: PRODUCTS/SOLUTIONS/SERVICES OFFERED161
TABLE 117DYNATRACE: PRODUCT LAUNCHES162
TABLE 118DYNATRACE: DEALS163
10.2.6H2O.AI164
TABLE 119H2O.AI: BUSINESS OVERVIEW164
TABLE 120H2O.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED164
TABLE 121H2O.AI: PRODUCT LAUNCHES165
TABLE 122H2O.AI: DEALS166
10.2.7DATAROBOT167
TABLE 123DATAROBOT: BUSINESS OVERVIEW167
TABLE 124DATAROBOT: PRODUCTS/SOLUTIONS/SERVICES OFFERED167
TABLE 125DATAROBOT: DEALS168
10.2.8CAUSALENS169
TABLE 126CAUSALENS: BUSINESS OVERVIEW169
TABLE 127CAUSALENS: PRODUCTS/SOLUTIONS/SERVICES OFFERED169
TABLE 128CAUSALENS: PRODUCT LAUNCHES170
TABLE 129CAUSALENS: DEALS170
10.2.9CAUSALITY LINK171
TABLE 130CAUSALITY LINK: BUSINESS OVERVIEW171
TABLE 131CAUSALITY LINK: PRODUCTS/SOLUTIONS/SERVICES OFFERED171
TABLE 132CAUSALITY LINK: PRODUCT LAUNCHES172
TABLE 133CAUSALITY LINK: DEALS172
10.2.10AITIA173
TABLE 134AITIA: BUSINESS OVERVIEW173
TABLE 135AITIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED173
TABLE 136AITIA: PRODUCT LAUNCHES174
TABLE 137AITIA: DEALS174
*Details on Business overview, Products/Solutions/Services offered, Recent developments & MnM View might not be captured in case of unlisted companies.
10.3OTHER KEY PLAYERS176
10.3.1PARABOLE.AI176
10.3.2CAUSALIS176
10.3.3OMICS DATA AUTOMATION177
10.3.4INCRMNTAL177
10.3.5CAUSALY178
10.3.6LOGILITY178
10.3.7COGNINO.AI179
10.3.8COGNIZANT180
10.3.9SCALNYX181
10.3.10GEMINOS181
11ADJACENT AND RELATED MARKETS182
11.1AI GOVERNANCE MARKET182
11.1.1MARKET DEFINITION182
11.1.2MARKET OVERVIEW182
TABLE 138AI GOVERNANCE MARKET SIZE AND GROWTH RATE, 2020–2026 (USD MILLION, Y-O-Y%)182
11.1.3AI GOVERNANCE, BY COMPONENT183
TABLE 139AI GOVERNANCE MARKET, BY COMPONENT, 2020–2026 (USD MILLION)183
11.1.4AI GOVERNANCE MARKET, BY SOLUTION183
TABLE 140AI GOVERNANCE MARKET, BY SOLUTION, 2020–2026 (USD MILLION)183
11.1.5AI GOVERNANCE MARKET, BY DEPLOYMENT MODE183
TABLE 141AI GOVERNANCE MARKET, BY DEPLOYMENT MODE, 2020–2026 (USD MILLION)184
11.1.6AI GOVERNANCE MARKET, BY ORGANIZATION SIZE184
TABLE 142AI GOVERNANCE MARKET, BY ORGANIZATION SIZE, 2020–2026 (USD MILLION)184
11.1.7AI GOVERNANCE MARKET, BY VERTICAL184
TABLE 143AI GOVERNANCE MARKET, BY VERTICAL, 2020–2026 (USD MILLION)185
11.1.8AI GOVERNANCE MARKET, BY REGION185
TABLE 144AI GOVERNANCE MARKET, BY REGION, 2020–2026 (USD MILLION)185
11.2ARTIFICIAL INTELLIGENCE MARKET186
11.2.1MARKET DEFINITION186
11.2.2MARKET OVERVIEW186
11.2.3ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING186
TABLE 145ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD BILLION)187
TABLE 146ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022–2027 (USD BILLION)187
11.2.4ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY187
TABLE 147ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)187
TABLE 148ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)188
11.2.5ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE188
TABLE 149ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)188
TABLE 150ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION)188
11.2.6ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE189
TABLE 151ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2016–2021 (USD BILLION)189
TABLE 152ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2022–2027 (USD BILLION)189
11.2.7ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION190
TABLE 153ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION)190
TABLE 154ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION)190
11.2.8ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL191
TABLE 155ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016–2021 (USD BILLION)191
TABLE 156ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022–2027 (USD BILLION)191
11.2.9ARTIFICIAL INTELLIGENCE MARKET, BY REGION192
TABLE 157ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION)192
TABLE 158ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION)192
12APPENDIX193
12.1DISCUSSION GUIDE193
12.2KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL197
12.3CUSTOMIZATION OPTIONS199
12.4RELATED REPORTS199
12.5AUTHOR DETAILS200
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