AI Governance Market by Component (Solutions (Platforms And Software Tools) and Services), Deployment Mode, Organization Size, Vertical (BFSI, Healthcare and Life Sciences, Government and Defense, and Automotive), and Region - Global Forecast to 2026
[221 PAges Report] The global AI governance market size to grow from USD 50 million in 2020 to USD 1,016 million by 2026, at a Compound Annual Growth Rate (CAGR) of 65.5% during the forecast period. Various factors such as increase in government initiatives to leverage the AI technology, rise in need for building trust in AI systems and growth in demand for transparency in AI decisions, and growth in regulatory compliances around the technology are expected to drive the adoption of the AI governance solutions and services.
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COVID-19 impact
Managing and monitoring credit, market, liquidity, and operational risk across financial markets was hard enough with ongoing geopolitical tensions, international trade wars, and the occasional hurricanes and earthquakes. The current pandemic situation has forced chief risk officers and their teams to recalibrate old assumptions and models used to manage and monitor risk. COVID-19’s global impact has shown that interconnectedness plays an important role in international cooperation and how outdated technologies are obstacles to effective policymaking. As a result, many governments started rushing towards identifying, evaluating, and procuring reliable solutions powered by AI. Healthcare facilities globally have been turning toward AI systems to identify infections through people’s voices or chest x-rays. Various governments have proposed tracking tools to monitor the virus’ spread person-to-person. From Asia to Europe, several public sector entities have collaborated with the private sector to utilize AI-based services to monitor the spread of the virus. COVID-19 has accelerated the need to operationalize Ethical AI principles. In order to help practitioners, navigate these challenges, the World Economic Forum’s AI and ML platform created the Procurement in a Box package, which aims to unlock public sector adoption of AI through government procurement.
Market Dynamics
Driver: Increase in government initiatives to leverage the AI technology
With the growing advantages of AI, organizations and governments across the globe are taking various initiatives to adopt AI and ML technologies and to register as leaders in the global market. Therefore, government organizations from numerous countries are taking various initiatives to adopt AI governance solutions through establishing councils, developing new standards and guidelines, and designing frameworks. The major objective of governments behind adopting AI governance solutions is to protect privacy and civil liberties and build trust and confidence in AI technology among people. Therefore, many companies have formed committees to identify risk factors for AI technology in collaboration with AI solution providers, universities, and research labs.
Restraint: Establishment of comprehensive ethical principles for AI
The exponential growth in AI technology is driven by high computing power and increased growth in the volume of data. Organizations are increasingly investing their time, money, and intelligence to identify the enormous potential of AI and convert technology into tangible benefits, which can help organizations enhance their business productivity, build advanced products and services, and gain competitive advantages. However, AI outcomes may not be trustworthy owing to the black box problem, which leads to difficulties in maintaining transparency while using AI for most critical tasks, such as dealing with the customer’s personal data, financial data, and patient diagnosis. Therefore, to build a responsible and explainable AI system, many government agencies, research labs, and AI solution providers are conducting in-depth researches to build comprehensive ethical principles for AI technology.
Since 2017, many sets of principles and guidelines have been laid down by different government authorities, professional bodies, regulatory systems, and AI companies, which provide a basic stage to show the path for building strong AI regulations and help in identifying major ethical issues that need to be addressed. However, even after the proliferation of these principles, there are no guidelines that are comprehensive. For instance, if principles are protecting 1 important value and regulations are built to protect that value, another value is neglected, which may harm social ethics. Hence, establishing comprehensive ethical principles for AI, which covers all ethical values, can be a restraining factor for the current scenario of AI governance solutions.
Opportunity: Reduction in gender bias and discrimination through the use of AI
AI technology has transformed the current era with its ML and cognitive thinking abilities. It has made a positive impact on society through various use cases. However, there are some negative cases where AI provides a biased and discriminating output. Currently, AI technology is in the development stage, which learns from various types of data patterns and provides an output that is negative or positive. With the use of AI governance solutions, developers would be able to develop and monitor the ML algorithm, and train it through relevant data to avoid unwanted outcomes. The use of an AI governance solution is the only option for AI solution providers to prevent the reputational, financial, and data-related losses caused by unexplainable AI. Moreover, the use of ethical AI can help prevent the increasing gender gap and discrimination issues caused by black-box AI across various areas, such as recruitment processes and facial recognition.
Challenge: Inadequate AI expertise and skills
AI technology is used to transform traditional business approaches and redefine them to enhance the organization’s productivity and profit margins. However, organizations lack the AI skills and understanding that can help them design algorithms to govern the AI system. This is due to the complexity of neural networks and ML algorithms in the AI system and the unestablished regulatory environment for AI governance. In order to build critical ML models, it is better for an organization to have its skilled workforce. However, it is very difficult for organizations to hire or train AI-skilled employees. According to the Artificial Intelligence and Digital Talent Survey conducted by Willis Towers Watson, currently, there are 22,000 AI-trained professionals in the world. Organizations around the world are challenged by retention and increased attrition rate of skilled employees. Hence, inadequate AI expertise and skills pose a major challenge among organizations, which might reduce in the near future.
The integration services segment to grow at a higher CAGR during the forecast period
The consulting services segment is expected to account for the largest market size, while the integration services segment is projected to have the highest CAGR during the forecast period. The technicalities involved in implementing AI governance solutions and the need to integrate them into their client’s IT infrastructure would boost the growth of integration services.
North America to account for largest market size during the forecast period
The organizations in North America, especially the US, have leveraged the benefits of AI, ML, and deep learning technologies to stay ahead in the market. The region has well-established economies, which enable AI governance vendors to invest in new technologies. Furthermore, it is regarded as the center of innovation where major IT players are rolling out intelligent devices and collaborating with other companies in the AI governance market.
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Key Market Players
The AI governance vendors have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global AI governance market include Alphabet Inc. (US), Microsoft Corporation (US), IBM Corporation (US), SAP SE (Germany), Salesforce.com, Inc. (Salesforce), Amazon Web Services, Inc. (US), QlikTech International AB (US), TIBCO Software Inc. (US), SAS Institute Inc. (US), Facebook, Inc. (US), FICO (US), Zest AI (US), Pymetrics Inc. (US), H2O.ai, Inc. (US), Informatica LLC (US), Ataccama Corporation (Canada), DataRobot, Inc. (US), Dataiku (US), Kyndi, Inc. (US), SparkCognition, Inc. (US), Fiddler Labs, Inc. (US), DarwinAI (Canada), Truera (US), Genie AI Ltd. (UK), MindsDB Inc. (US), integrate.ai Inc. (Canada), Untangle AI Pte Ltd (Singapore), AnotherBrain (France), Diveplane Corporation (US), and 2021.AI (Denmark). The study includes an in-depth competitive analysis of these key players in the AI governance market with their company profiles, recent developments, and key market strategies.
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|
Report Metric |
Details |
|
Market size available for years |
2020–2026 |
|
Base year considered |
2020 |
|
Forecast period |
2021–2026 |
|
Forecast units |
USD Million |
|
Segments covered |
Component, Deployment Mode, Organization Size, Vertical, And Region |
|
Geographies covered |
North America, Europe, APAC, Rest of the World (Latin America and MEA) |
|
Companies covered |
Alphabet Inc. (US), Microsoft Corporation (US), IBM Corporation (US), Amazon Web Services, Inc. (US), QlikTech International AB (US), TIBCO Software Inc. (US), SAS Institute Inc. (US), Facebook, Inc. (US), SAP SE (Germany), Salesforce.com, Inc. (Salesforce), FICO (US), Zest AI (US), Pymetrics Inc. (US), H2O.ai, Inc. (US), Informatica LLC (US), Ataccama Corporation (Canada), DataRobot, Inc. (US), Dataiku (US), Kyndi, Inc. (US), SparkCognition, Inc. (US), Fiddler Labs, Inc. (US), DarwinAI (Canada), Truera (US), Genie AI Ltd. (UK), MindsDB Inc. (US), integrate.ai Inc. (Canada), Untangle AI Pte Ltd (Singapore), AnotherBrain (France), Diveplane Corporation (US), and 2021.AI (Denmark) |
This research report categorizes the AI governance market based on components, deployment mode, organization size, vertical, and regions.
By Component:
- Solution
- Software Tools
- Platform
- Services
- Consulting
- Integration
- Support and Maintenance
By Deployment Mode:
- Cloud
- On-premises
By Organization Size:
- Large enterprises
- Small and medium-sized enterprises (SMEs)
By Vertical:
- BFSI
- Government and Defense
- Healthcare and Life Sciences
- Media and Entertainment
- Retail
- IT and Telecom
- Automotive
- Other Verticals (education, travel and tourism, energy and utilities, and manufacturing).
By Region:
- North America
- US
- Canada
- Europe
- UK
- Germany
- France
- Rest of Europe
- APAC
- China
- Japan
- India
- Singapore
- Rest of APAC
- Restof the World
- MEA
- Latin America
Recent Developments:
- In December 2020, AWS announced nine new Amazon SageMaker capabilities. The new capabilities include faster data preparation, a purpose-built repository for prepared data, workflow automation, greater transparency into training data to mitigate bias and explain predictions, distributed training capabilities to train large models up to two times faster, and model monitoring on edge devices.
- In October 2020, H2O.ai brought AutoML with Driverless AI to Equifax Ignite. The platform would enable Equifax Ignite users to easily build and deploy ML models.
- In June 2020, IBM updated AI Fairness 360 (AIF360) toolkit and added two functionalities in AI Fairness 360 toolkit: compatibility with sci-kit-learn and R. AIF360 can be used to detect fairness issues at training time from Watson Studio and use Watson OpenScale to detect fairness at runtime.
- In June 2020, Informatica announced an update for the Intelligent Data Platform. The platform was designed to be powered by Informatica’s AI-powered CLAIRE engine.
- In March 2019, Zest AI launched the ZAML Fair AI tool to reduce bias from the ML algorithm, by applying it to existing models.
- In October 2018, IBM launched AI OpenScale, a data governance platform, which would help organizations build AI-based applications that provide a fair and unbiased outcome.
- In September 2018, Google launched ML technology-based What-If Tool, a feature of the TensorBoard web application.
- In May 2018, Pymetrics launched Audit AI tool that can audit a variety of algorithms, including those made to predict whether a person will pay back a loan or to assign a credit score to people with no banking history.
- In May 2018, Facebook launched a new product, the Fairness Flow tool, to reduce bias and discriminated outcomes during the case of job recommendation or while identifying fake social media accounts.
Frequently Asked Questions (FAQ):
What is AI governance?
AI governance refers to the organizational approach toward developing policies. AI governance is developing a framework to effectively design, deploy, and monitor AI-powered models and algorithms with a major focus on fairness, accountability, transparency, safety, and privacy to ensure fair outcomes. These models are designed, developed, implemented, and continuously monitored throughout their life cycle to understand their behavior and are retired or retrained when the system fails to meet the governance-related requirements.
Which countries are considered in the European region?
The report includes an analysis of the UK, Germany, and France in the European region.
Which are key verticals adopting AI governance solution and services?
Key verticals adopting AI governance solution and services include Banking, Financial Services and Insurance [BFSI], government and defense, healthcare and life sciences, media and entertainment, retail, automotive, telecom, and others (education, travel and tourism, energy and utilities, and manufacturing).
Which are the key drivers supporting the growth of the AI governance market?
The key drivers supporting the growth of the AI governance market include increase in government initiatives to leverage the AI technology, rise in need for building trust in AI systems and growth in demand for transparency in AI decisions, and growth in regulatory compliances around the technology.
Who are the key vendors in the AI governance market?
The key vendors operating in the AI governance market Google, Microsoft, AWS, IBM, Qlik, TIBCO Software, SAS Institute, Facebook, SAP, Salesforce, FICO, Zest AI, Pymetrics, H2O.ai, Informatica, Ataccama, DataRobot, Dataiku, Kyndi, SparkCognition, Fiddler Labs, DarwinAI, Truera, Genie AI, MindsDB, Integrate.AI, Untangle AI, AnotherBrain, Diveplane, and 2021.AI. These vendors have adopted different types of organic and inorganic growth strategies such as new product launches, product enhancements, partnerships, and mergers and acquisitions. .
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 20)
1.1 INTRODUCTION TO COVID-19
1.2 COVID-19 HEALTH ASSESSMENT
FIGURE 1 COVID-19: GLOBAL PROPAGATION
FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES
1.3 COVID-19 ECONOMIC ASSESSMENT
FIGURE 3 REVISED GROSS DOMESTIC PRODUCT FORECASTS FOR SELECT G20 COUNTRIES IN 2020
1.3.1 COVID-19 ECONOMIC IMPACT—SCENARIO ASSESSMENT
FIGURE 4 CRITERIA IMPACTING GLOBAL ECONOMY
FIGURE 5 SCENARIOS IN TERMS OF RECOVERY OF GLOBAL ECONOMY
1.4 OBJECTIVES OF THE STUDY
1.5 MARKET DEFINITION
1.5.1 INCLUSIONS & EXCLUSIONS
1.6 MARKET SCOPE
1.6.1 MARKET SEGMENTATION
1.6.2 REGIONS COVERED
1.6.3 PERIODIZATION CONSIDERED FOR THE STUDY
1.7 CURRENCY CONSIDERED
TABLE 1 USD EXCHANGE RATES, 2018–2020
1.8 STAKEHOLDERS
1.9 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 30)
2.1 RESEARCH DATA
FIGURE 6 AI GOVERNANCE MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
TABLE 2 PRIMARY INTERVIEWS
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key industry insights
2.2 DATA TRIANGULATION
FIGURE 7 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
FIGURE 8 RESEARCH METHODOLOGY: APPROACH
FIGURE 9 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
FIGURE 10 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 (SUPPLY SIDE): REVENUE OF SOLUTIONS/SERVICES OF THE AI GOVERNANCE MARKET
FIGURE 11 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE OF AI GOVERNANCE VENDORS
FIGURE 12 MARKET SIZE ESTIMATION METHODOLOGY: ILLUSTRATION OF COMPANY’S AI GOVERNANCE REVENUE ESTIMATION I
FIGURE 13 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2 BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE OF ALL SOLUTIONS/SERVICES OF THE MARKET
FIGURE 14 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 3 BOTTOM-UP (DEMAND SIDE): SHARE OF AI GOVERNANCE THROUGH OVERALL AI GOVERNANCE SPENDING
2.4 MARKET FORECAST
TABLE 3 FACTOR ANALYSIS
2.5 COMPANY EVALUATION MATRIX METHODOLOGY
FIGURE 15 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
2.6 ASSUMPTIONS FOR THE STUDY
2.7 LIMITATIONS OF THE STUDY
3 EXECUTIVE SUMMARY (Page No. - 45)
TABLE 4 AI GOVERNANCE MARKET SIZE AND GROWTH RATE, 2020–2026 (USD MILLION, Y-O-Y%)
FIGURE 16 AI GOVERNANCE SOLUTIONS TO BE A LARGER MARKET IN 2020 (USD MILLION)
FIGURE 17 AI GOVERNANCE PLATFORMS TO ACCOUNT FOR THE LARGER MARKET SIZE IN 2020 (USD MILLION)
FIGURE 18 CONSULTING SERVICES TO DOMINATE THE MARKET IN 2020 (USD MILLION)
FIGURE 19 THE CLOUD SEGMENT TO ACCOUNT FOR THE LARGER MARKET SIZE IN 2020 (USD MILLION)
FIGURE 20 LARGE ENTERPRISES TO BE THE LARGER MARKET IN 2020 (VALUE)
FIGURE 21 BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL TO ACCOUNT FOR THE LARGEST MARKET SIZE IN 2020 (USD MILLION)
FIGURE 22 EUROPE TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
4 PREMIUM INSIGHTS (Page No. - 50)
4.1 ATTRACTIVE OPPORTUNITIES IN THE AI GOVERNANCE MARKET
FIGURE 23 RISE IN DEMAND FOR TRANSPARENCY IN AI DECISIONS AND NEED TO BUILD TRUST IN AI TO BOOST THE MARKET GROWTH
4.2 MARKET, BY VERTICAL
FIGURE 24 HEALTHCARE AND LIFESCIENCES VERTICALS TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
4.3 MARKET, BY REGION
FIGURE 25 NORTH AMERICA TO HOLD THE HIGHEST MARKET SHARE IN 2026
4.4 MARKET, BY SERVICE AND VERTICAL
FIGURE 26 CONSULTING SERVICES SEGMENT AND BFSI VERTICAL TO ACCOUNT FOR THE LARGEST SHARES IN NORTH AMERICA IN 2020
5 MARKET OVERVIEW (Page No. - 52)
5.1 MARKET DYNAMICS
FIGURE 27 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: AI GOVERNANCE MARKET
5.1.1 DRIVERS
5.1.1.1 Increase in government initiatives to leverage the AI technology
5.1.1.2 Rise in need for building trust in AI systems and growth in demand for transparency in AI decisions
5.1.1.3 Growth in regulatory compliances around the technology
5.1.2 RESTRAINTS
5.1.2.1 Establishment of comprehensive ethical principles for AI
5.1.3 OPPORTUNITIES
5.1.3.1 Reduction in gender bias and discrimination through the use of AI
5.1.4 CHALLENGES
5.1.4.1 Inadequate AI expertise and skills
5.1.4.2 Clean and relevant data required to train ML algorithms
5.2 EVOLUTION
FIGURE 28 EVOLUTION OF AI GOVERNANCE
5.3 COMMON AI GOVERNANCE PRINCIPLES
FIGURE 29 AI GOVERNANCE PRINCIPALS
5.4 AI GOVERNANCE MARKET: COVID-19 IMPACT
FIGURE 30 MARKET TO DECLINE BETWEEN 2020 AND 2021
5.5 CASE STUDY ANALYSIS
5.5.1 USE CASE 1: FICO ANALYTICS WORKBENCH HELPS BANKS TO IMPROVE CREDIT RISK DECISIONS
5.5.2 USE CASE 2: DARWINAI USES OPENVINO TOOLKIT TO DELIVER EXPLAINABLE AI
5.5.3 USE CASE 3: CLOSEDLOOP.AI USES AI AND ML TO HELP USERS IDENTIFY AND PREDICT HIGH-RISK POPULATIONS
5.5.4 USE CASE 4: FINANCIAL SERVICE INDUSTRY USE AI SOLUTIONS OF ELULA TO IMPROVE ITS CUSTOMER RETENTION
5.5.5 USE CASE 5: SPARKCOGNITION’S AI SOLUTION HELPS TO PREDICT RARE FAILURES IN HYDRO TURBINES
5.6 SUPPLY CHAIN ANALYSIS
FIGURE 31 SUPPLY CHAIN ANALYSIS
TABLE 5 AI GOVERNANCE MARKET: SUPPLY CHAIN
5.7 TECHNOLOGY ANALYSIS
5.7.1 AI GOVERNANCE AND MACHINE LEARNING (ML)
5.7.2 AI GOVERNANCE AND DEEP LEARNING
5.7.3 AI GOVERNANCE AND LOCAL INTERPRETABLE MODEL-AGNOSTIC EXPLANATION (LIME)
5.8 PORTER’S FIVE FORCES ANALYSIS
TABLE 6 AI GOVERNANCE MARKET: PORTER FIVE FORCES ANALYSIS
5.8.1 THREAT OF NEW ENTRANTS
5.8.2 THREAT OF SUBSTITUTES
5.8.3 BARGAINING POWER OF SUPPLIERS
5.8.4 BARGAINING POWER OF BUYERS
5.8.5 INTENSITY OF COMPETITIVE RIVALRY
5.9 PATENT ANALYSIS
5.9.1 INNOVATION AND PATENT REGISTRATIONS
TABLE 7 IMPORTANT INNOVATION AND PATENT REGISTRATIONS, 2018-2020
5.10 PRICING ANALYSIS
5.11 REGULATORY IMPLICATIONS
5.11.1 INTRODUCTION
5.11.2 GENERAL DATA PROTECTION REGULATION
5.11.3 GOVERNANCE, RISK, AND COMPLIANCE STANDARDS
5.11.4 HEALTH INFORMATION TECHNOLOGY FOR ECONOMIC AND CLINICAL HEALTH
5.11.5 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
5.11.6 FEDERAL TRADE COMMISSION
5.11.7 FEDERAL COMMUNICATIONS COMMISSION
5.11.8 SECURITIES FINANCING TRANSACTIONS REGULATION
6 AI GOVERNANCE MARKET, BY COMPONENT (Page No. - 67)
6.1 INTRODUCTION
6.1.1 COMPONENT: MARKET DRIVERS
6.1.2 COMPONENT: COVID-19 IMPACT
FIGURE 32 THE SERVICES SEGMENT TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 8 MARKET SIZE, BY COMPONENT, 2020–2026 (USD MILLION)
6.2 SOLUTIONS
FIGURE 33 SOFTWARE TOOLS SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 9 AI GOVERNANCE SOLUTIONS MARKET SIZE, BY REGION, 2020–2026 (USD MILLION)
TABLE 10 AI GOVERNANCE MARKET SIZE, BY SOLUTION, 2020–2026 (USD MILLION)
6.2.1 SOFTWARE TOOLS
TABLE 11 AI GOVERNANCE SOFTWARE TOOLS MARKET SIZE, BY REGION, 2020–2026 (USD MILLION)
6.2.2 PLATFORM
TABLE 12 AI GOVERNANCE PLATFORM MARKET SIZE, BY REGION, 2020–2026 (USD MILLION)
6.3 SERVICES
FIGURE 34 INTEGRATION SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 13 AI GOVERNANCE SERVICES MARKET SIZE, BY REGION, 2020–2026 (USD MILLION)
TABLE 14 AI GOVERNANCE MARKET SIZE, BY SERVICES, 2020–2026 (USD MILLION)
6.3.1 CONSULTING
TABLE 15 AI GOVERNANCE CONSULTING MARKET SIZE, BY REGION, 2020–2026 (USD MILLION)
6.3.2 INTEGRATION
TABLE 16 AI GOVERNANCE INTEGRATION MARKET SIZE, BY REGION, 2020–2026 (USD MILLION)
6.3.3 SUPPORT AND MAINTENANCE
TABLE 17 AI GOVERNANCE SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION, 2020–2026 (USD MILLION)
7 AI GOVERNANCE MARKET, BY DEPLOYMENT MODE (Page No. - 74)
7.1 INTRODUCTION
7.1.1 DEPLOYMENT MODE: MARKET DRIVERS
7.1.2 DEPLOYMENT MODE: COVID-19 IMPACT
FIGURE 35 THE ON-PREMISES SEGMENT TO WITNESS THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 18 MARKET SIZE, BY DEPLOYMENT MODE, 2020–2026 (USD MILLION)
7.2 ON-PREMISES
TABLE 19 ON-PREMISES MARKET SIZE, BY REGION, 2020–2026 (USD MILLION)
7.3 CLOUD
TABLE 20 CLOUD-BASED MARKET SIZE, BY REGION, 2020–2026 (USD MILLION)
8 AI GOVERNANCE MARKET, BY ORGANIZATION SIZE (Page No. - 78)
8.1 INTRODUCTION
8.1.1 ORGANIZATION SIZE: MARKET DRIVERS
8.1.2 ORGANIZATION SIZE: COVID-19 IMPACT
FIGURE 36 SMALL AND MEDIUM-SIZED ENTERPRISES TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 21 MARKET SIZE, BY ORGANIZATION SIZE, 2020–2026 (USD MILLION)
8.2 LARGE ENTERPRISES
TABLE 22 MARKET SIZE IN LARGE ENTERPRISES, BY REGION, 2020–2026 (USD MILLION)
8.3 SMALL- AND MEDIUM-SIZED ENTERPRISES
TABLE 23 MARKET SIZE IN SMALL AND MEDIUM-SIZED ENTERPRISES, BY REGION, 2020–2026 (USD MILLION)
9 AI GOVERNANCE MARKET, BY VERTICAL (Page No. - 82)
9.1 INTRODUCTION
9.1.1 VERTICAL: MARKET DRIVERS
9.1.2 VERTICAL: COVID-19 IMPACT
9.2 AI GOVERNANCE: ENTERPRISE USE CASES
FIGURE 37 AUTOMOTIVE VERTICAL TO WITNESS THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 24 MARKET SIZE, BY VERTICAL, 2020–2026 (USD MILLION)
9.3 BANKING, FINANCIAL SERVICES, AND INSURANCE
TABLE 25 BANKING, FINANCIAL SERVICES, AND INSURANCE: USE CASES
TABLE 26 MARKET SIZE IN BANKING, FINANCIAL SERVICES, AND INSURANCE, BY REGION, 2020–2026 (USD MILLION)
9.4 GOVERNMENT AND DEFENSE
TABLE 27 GOVERNMENT AND DEFENSE: USE CASES
TABLE 28 MARKET SIZE IN GOVERNMENT AND DEFENSE, BY REGION, 2020–2026 (USD MILLION)
9.5 HEALTHCARE AND LIFE SCIENCES
TABLE 29 HEALTHCARE AND LIFE SCIENCES: USE CASES
TABLE 30 AI GOVERNANCE MARKET SIZE IN HEALTHCARE AND LIFE SCIENCES, BY REGION, 2020–2026 (USD MILLION)
9.6 MEDIA AND ENTERTAINMENT
TABLE 31 MEDIA AND ENTERTAINMENT: USE CASES
TABLE 32 MARKET SIZE IN MEDIA AND ENTERTAINMENT, BY REGION, 2020–2026 (USD MILLION)
9.7 RETAIL
TABLE 33 RETAIL: USE CASES
TABLE 34 MARKET SIZE IN RETAIL, BY REGION, 2020–2026 (USD MILLION)
9.8 IT AND TELECOM
TABLE 35 IT AND TELECOM: USE CASES
TABLE 36 MARKET SIZE IN IT AND TELECOM, BY REGION, 2020–2026 (USD MILLION)
9.9 AUTOMOTIVE
TABLE 37 AUTOMOTIVE: USE CASES
TABLE 38 MARKET SIZE IN AUTOMOTIVE, BY REGION, 2020–2026 (USD MILLION)
9.10 OTHER VERTICALS
TABLE 39 OTHER VERTICALS: USE CASES
TABLE 40 MARKET SIZE IN OTHER VERTICALS, BY REGION, 2020–2026 (USD MILLION)
10 AI GOVERNANCE MARKET, BY REGION (Page No. - 96)
10.1 INTRODUCTION
FIGURE 38 SINGAPORE TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 39 EUROPE TO WITNESS THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 41 MARKET SIZE, BY REGION, 2020–2026 (USD MILLION)
10.2 NORTH AMERICA
10.2.1 NORTH AMERICA: MARKET DRIVERS
10.2.2 NORTH AMERICA: COVID-19 IMPACT
10.2.3 NORTH AMERICA: REGULATIONS
10.2.3.1 The Personal Information Protection and Electronic Documents Act (PIPEDA)
10.2.3.2 California Consumer Privacy Act
FIGURE 40 NORTH AMERICA: MARKET SNAPSHOT
TABLE 42 NORTH AMERICA: AI GOVERNANCE MARKET SIZE, BY COMPONENT, 2020–2026 (USD MILLION)
TABLE 43 NORTH AMERICA: MARKET SIZE, BY SOLUTION, 2020–2026 (USD MILLION)
TABLE 44 NORTH AMERICA: MARKET SIZE, BY SERVICE, 2020–2026 (USD MILLION)
TABLE 45 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2020–2026 (USD MILLION)
TABLE 46 NORTH AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2020–2026 (USD MILLION)
TABLE 47 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2020–2026 (USD MILLION)
TABLE 48 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2020–2026 (USD MILLION)
10.2.4 US
10.2.5 CANADA
10.3 EUROPE
10.3.1 EUROPE: MARKET DRIVERS
10.3.2 EUROPE: COVID-19 IMPACT
10.3.3 EUROPE: REGULATIONS
10.3.3.1 General Data Protection Regulation
10.3.3.2 European Committee for Standardization
10.3.3.3 EU Data Governance Act
FIGURE 41 EUROPE: MARKET SNAPSHOT
TABLE 49 EUROPE: AI GOVERNANCE MARKET SIZE, BY COMPONENT, 2020–2026 (USD MILLION)
TABLE 50 EUROPE: MARKET SIZE, BY SOLUTION, 2020–2026 (USD MILLION)
TABLE 51 EUROPE: MARKET SIZE, BY SERVICE, 2020–2026 (USD MILLION)
TABLE 52 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2020–2026 (USD MILLION)
TABLE 53 EUROPE: MARKET SIZE, BY ORGANIZATION SIZE, 2020–2026 (USD MILLION)
TABLE 54 EUROPE: MARKET SIZE, BY VERTICAL, 2020–2026 (USD MILLION)
TABLE 55 EUROPE: MARKET SIZE, BY COUNTRY, 2020–2026 (USD MILLION)
10.3.4 UK
10.3.5 GERMANY
10.3.6 FRANCE
10.3.7 REST OF EUROPE
10.4 ASIA PACIFIC
10.4.1 ASIA PACIFIC: MARKET DRIVERS
10.4.2 ASIA PACIFIC: COVID-19 IMPACT
10.4.3 ASIA PACIFIC: REGULATIONS
10.4.3.1 Personal Data Protection Act
10.4.3.2 Singapore’s Model AI Governance Framework
TABLE 56 ASIA PACIFIC: AI GOVERNANCE MARKET SIZE, BY COMPONENT, 2020–2026 (USD MILLION)
TABLE 57 ASIA PACIFIC: MARKET SIZE, BY SOLUTION, 2020–2026 (USD MILLION)
TABLE 58 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2020–2026 (USD MILLION)
TABLE 59 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2020–2026 (USD MILLION)
TABLE 60 ASIA PACIFIC: MARKET SIZE, BY ORGANIZATION SIZE, 2020–2026 (USD MILLION)
TABLE 61 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2020–2026 (USD MILLION)
TABLE 62 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2020–2026 (USD MILLION)
10.4.4 CHINA
10.4.5 JAPAN
10.4.6 INDIA
10.4.7 SINGAPORE
10.4.8 REST OF ASIA PACIFIC
10.5 REST OF THE WORLD
10.5.1 ROW: AI GOVERNANCE MARKET DRIVERS
10.5.2 ROW: COVID-19 IMPACT
10.5.3 ROW: REGULATIONS
10.5.3.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017
10.5.3.2 GDPR Applicability in KSA
10.5.3.3 Protection of Personal Information Act
10.5.3.4 TRA’s IoT Regulatory Policy
10.5.3.5 Brazil Data Protection Law
10.5.3.6 Argentina Personal Data Protection Law No. 25.326
TABLE 63 ROW: AI GOVERNANCE MARKET SIZE, BY COMPONENT, 2020–2026 (USD MILLION)
TABLE 64 ROW: MARKET SIZE, BY SOLUTION, 2020–2026 (USD MILLION)
TABLE 65 ROW: MARKET SIZE, BY SERVICE, 2020–2026 (USD MILLION)
TABLE 66 ROW: MARKET SIZE, BY DEPLOYMENT MODE, 2020–2026 (USD MILLION)
TABLE 67 ROW: MARKET SIZE, BY ORGANIZATION SIZE, 2020–2026 (USD MILLION)
TABLE 68 ROW: MARKET SIZE, BY VERTICAL, 2020–2026 (USD MILLION)
TABLE 69 ROW: MARKET SIZE, BY COUNTRY, 2020–2026 (USD MILLION)
10.5.4 MIDDLE EAST & AFRICA
10.5.5 LATIN AMERICA
11 COMPETITIVE LANDSCAPE (Page No. - 122)
11.1 OVERVIEW
11.2 MARKET SHARE ANALYSIS
TABLE 70 AI GOVERNANCE MARKET: DEGREE OF COMPETITION
11.3 COMPANY EVALUATION QUADRANT
11.3.1 STARS
11.3.2 EMERGING LEADERS
11.3.3 PERVASIVE PLAYERS
11.3.4 PARTICIPANTS
FIGURE 42 KEY AI GOVERNANCE MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2020
11.4 MARKET SHARE/RANK
FIGURE 43 RANKING OF KEY PLAYERS, 2020
11.4.1 PRODUCT FOOTPRINT
TABLE 71 COMPANY PRODUCT FOOTPRINT
TABLE 72 COMPANY INDUSTRY FOOTPRINT
TABLE 73 COMPANY REGION FOOTPRINT
11.5 STARTUP/SME EVALUATION QUADRANT
11.5.1 PROGRESSIVE COMPANIES
11.5.2 RESPONSIVE COMPANIES
11.5.3 DYNAMIC COMPANIES
11.5.4 STARTING BLOCKS
FIGURE 44 STARTUP/SME AI GOVERNANCE MARKET EVALUATION MATRIX, 2020
11.5.5 PRODUCT FOOTPRINT
TABLE 74 STARTUPS/SMES PRODUCT FOOTPRINT
TABLE 75 STARTUPS/SMES INDUSTRY FOOTPRINT
TABLE 76 STARTUPS/SMES REGION FOOTPRINT
11.6 COMPETITIVE SCENARIO
11.6.1 PRODUCT LAUNCHES AND PRODUCT ENHANCEMENTS
TABLE 77 PRODUCT LAUNCHES, 2018–2021
11.6.2 DEALS
TABLE 78 DEALS, 2018–2021
11.6.3 OTHERS
TABLE 79 OTHERS, 2018–2021
12 COMPANY PROFILES (Page No. - 137)
12.1 INTRODUCTION
(Business and Financial overview, Products offered, Recent developments & MnM View)*
12.2 KEY PLAYERS
12.2.1 MICROSOFT
TABLE 80 MICROSOFT: BUSINESS OVERVIEW
FIGURE 45 MICROSOFT: COMPANY SNAPSHOT
TABLE 81 MICROSOFT: PRODUCTS OFFERED
12.2.2 IBM
TABLE 82 IBM: BUSINESS OVERVIEW
FIGURE 46 IBM: COMPANY SNAPSHOT
TABLE 83 IBM: PRODUCTS OFFERED
12.2.3 GOOGLE
TABLE 84 GOOGLE: BUSINESS OVERVIEW
FIGURE 47 GOOGLE: COMPANY SNAPSHOT
TABLE 85 GOOGLE: PRODUCT OFFERED
12.2.4 SALESFORCE
TABLE 86 SALESFORCE: BUSINESS OVERVIEW
FIGURE 48 SALESFORCE: COMPANY SNAPSHOT
TABLE 87 SALESFORCE: PRODUCT OFFERED
12.2.5 SAP
TABLE 88 SAP: BUSINESS OVERVIEW
FIGURE 49 SAP: COMPANY SNAPSHOT
TABLE 89 SAP: PRODUCT OFFERED
12.2.6 AWS
TABLE 90 AWS: BUSINESS OVERVIEW
FIGURE 50 AWS: COMPANY SNAPSHOT
TABLE 91 AWS: PRODUCT OFFERED
12.2.7 SAS INSTITUTE
TABLE 92 SAS INSTITUTE: BUSINESS OVERVIEW
FIGURE 51 SAS INSTITUTE: COMPANY SNAPSHOT
TABLE 93 SAS INSTITUTE: PRODUCT OFFERED
12.2.8 FAIR ISAAC CORPORATION
TABLE 94 FICO: BUSINESS OVERVIEW
FIGURE 52 FICO: COMPANY SNAPSHOT
TABLE 95 FICO: PRODUCT OFFERED
12.2.9 FACEBOOK
TABLE 96 FACEBOOK: BUSINESS OVERVIEW
FIGURE 53 FACEBOOK: COMPANY SNAPSHOT
TABLE 97 FACEBOOK: PRODUCT OFFERED
12.2.10 TIBCO SOFTWARE
TABLE 98 TIBCO SOFTWARE: BUSINESS OVERVIEW
TABLE 99 TIBCO SOFTWARE: PRODUCT OFFERED
12.2.11 ZEST AI
TABLE 100 ZEST AI: BUSINESS OVERVIEW
TABLE 101 ZEST AI: PRODUCT OFFERED
12.2.12 PYMETRICS
TABLE 102 PYMETRICS: BUSINESS OVERVIEW
TABLE 103 PYMETRICS: PRODUCT OFFERED
12.2.13 QLIK
TABLE 104 QLIK: BUSINESS OVERVIEW
TABLE 105 QLIK: PRODUCT OFFERED
12.2.14 H2O.AI
TABLE 106 H2O.AI: BUSINESS OVERVIEW
TABLE 107 H20.AI: PRODUCT OFFERED
12.2.15 INFORMATICA
TABLE 108 INFORMATICA: BUSINESS OVERVIEW
TABLE 109 INFORMATICA: PRODUCT OFFERED
12.2.16 ATACCAMA
12.2.17 DATAROBOT
12.2.18 DATAIKU
12.2.19 KYNDI
12.2.20 SPARKCOGNITION
12.3 START-UP/SME PLAYERS
12.3.1 FIDDLER LABS
12.3.2 DARWINAI
12.3.3 UNTANGLE AI
12.3.4 2021.AI
12.3.5 INTEGRATE.AI
12.3.6 TRUERA
12.3.7 GENIE AI
12.3.8 MINDSDB
12.3.9 ANOTHERBRAIN
12.3.10 DIVEPLANE
*Details on Business and Financial overview, Products offered, Recent developments & MnM View might not be captured in case of unlisted companies.
13 ADJACENT AND RELATED MARKETS (Page No. - 199)
13.1 INTRODUCTION
13.2 DATA GOVERNANCE MARKET—GLOBAL FORECAST TO 2025
13.2.1 MARKET DEFINITION
13.2.2 MARKET OVERVIEW
13.2.2.1 Data governance market, by application
TABLE 110 DATA GOVERNANCE MARKET SIZE, BY APPLICATION, 2014–2019 (USD MILLION)
TABLE 111 DATA GOVERNANCE MARKET SIZE, BY APPLICATION, 2019–2025 (USD MILLION)
13.2.2.2 Data governance market, by component
TABLE 112 DATA GOVERNANCE MARKET SIZE, BY COMPONENT, 2014–2019 (USD MILLION)
TABLE 113 DATA GOVERNANCE MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
13.2.2.3 Data governance market, by deployment mode
TABLE 114 DATA GOVERNANCE MARKET SIZE, BY DEPLOYMENT MODEL, 2014–2019 (USD MILLION)
TABLE 115 DATA GOVERNANCE MARKET SIZE, BY DEPLOYMENT MODEL, 2019–2025 (USD MILLION)
13.2.2.4 Data governance market, by organization size
TABLE 116 DATA GOVERNANCE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2019 (USD MILLION)
TABLE 117 DATA GOVERNANCE MARKET SIZE, BY ORGANIZATION SIZE, 2019–2025 (USD MILLION)
13.2.2.5 Data governance market, by vertical
TABLE 118 DATA GOVERNANCE MARKET SIZE, BY VERTICAL, 2014–2019 (USD MILLION)
TABLE 119 DATA GOVERNANCE MARKET SIZE, BY VERTICAL, 2019–2025 (USD MILLION)
13.2.2.6 Data governance market, by region
TABLE 120 DATA GOVERNANCE MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 121 DATA GOVERNANCE MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
TABLE 122 NORTH AMERICA: DATA GOVERNANCE MARKET SIZE, BY COUNTRY, 2014–2019 (USD MILLION)
TABLE 123 NORTH AMERICA: DATA GOVERNANCE MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
TABLE 124 EUROPE: DATA GOVERNANCE MARKET SIZE, BY COUNTRY, 2014–2019 (USD MILLION)
TABLE 125 EUROPE: DATA GOVERNANCE MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
TABLE 126 ASIA PACIFIC: DATA GOVERNANCE MARKET SIZE, BY COUNTRY, 2014–2019 (USD MILLION)
TABLE 127 ASIA PACIFIC: DATA GOVERNANCE MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
13.3 CONVERSATIONAL AI MARKET—GLOBAL FORECAST TO 2025
13.3.1 MARKET DEFINITION
13.3.2 MARKET OVERVIEW
13.3.2.1 Conversational AI market, by component
TABLE 128 CONVERSATIONAL AI MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 129 CONVERSATIONAL AI MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
13.3.2.2 Conversational AI market, by type
TABLE 130 CONVERSATIONAL AI MARKET SIZE, BY TYPE, 2019–2025 (USD MILLION)
13.3.2.3 Conversational AI market, by technology
TABLE 131 CONVERSATIONAL AI MARKET SIZE, BY TECHNOLOGY, 2019–2025 (USD MILLION)
13.3.2.4 Conversational AI market, by deployment mode
TABLE 132 CONVERSATIONAL AI MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
13.3.2.5 Conversational AI market, by application
TABLE 133 CONVERSATIONAL AI MARKET SIZE, BY APPLICATION, 2019–2025 (USD MILLION)
13.3.2.6 Conversational AI market, by vertical
TABLE 134 CONVERSATIONAL AI MARKET SIZE, BY VERTICAL, 2019–2025 (USD MILLION)
13.3.2.7 Conversational AI market, by region
TABLE 135 CONVERSATIONAL AI MARKET SIZE, BY REGION, 2019–2025(USD MILLION)
TABLE 136 NORTH AMERICA: CONVERSATIONAL AI MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
TABLE 137 EUROPE: CONVERSATIONAL AI MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
TABLE 138 ASIA PACIFIC: CONVERSATIONAL AI MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
TABLE 139 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
TABLE 140 LATIN AMERICA: CONVERSATIONAL AI MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
14 APPENDIX (Page No. - 213)
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 AVAILABLE CUSTOMIZATIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
The study involved four major activities in estimating the current market size of the AI governance market. Extensive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were used to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the AI governance market.
Secondary Research
In the secondary research process, various sources were referred to for identifying and collecting information for the study. The secondary sources included annual reports, press releases, investor presentations of companies; white papers; journals; and certified publications and articles from recognized authors, directories, and databases.
Primary Research
Various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief X Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from AI governance solution vendors, system integrators, professional service providers, industry associations, and consultants; and key opinion leaders. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
The following is the breakup of primary profiles:
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Both top-down and bottom-up approaches were used to estimate and validate the total size of the AI governance market. The top-down approach was used to derive the revenue contribution of top vendors and their offerings in the AI governance market. The bottom-up approach was used to arrive at the overall market size of the global AI governance market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:
- The key players in the market were identified through extensive secondary research.
- The market size, in terms of value, was determined through primary and secondary research processes.
- All percentages, shares, and breakups were determined using secondary sources and verified through primary sources.
Data Triangulation
After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
Report Objectives
- To define, describe, and forecast the AI governance market by component (platforms, software tools, and services), services (training and consulting, system integration and testing, and support and maintenance), deployment mode, organization size, vertical, and region
- To provide detailed information regarding the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the AI governance market
- To analyze the micromarkets with respect to individual growth trends, prospects, and their contribution to the total market
- To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the AI governance market
- To forecast the size of the market segments with respect to five main regions: North America, Europe, Asia Pacific (APAC), the Middle East & Africa (MEA), and Latin America
- To profile the key players of the AI governance market and comprehensively analyze their market shares and core competencies
- To track and analyze competitive developments, such as new product launches, mergers & acquisitions, and partnerships, agreements, and collaborations in the AI governance market
- To analyze the impact of the COVID-19 pandemic on the AI governance market.
Available customizations
With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
Product analysis
- Product matrix provides a detailed comparison of the product portfolio of each company
Geographic analysis
- Further breakup of the North American AI governance market
- Further breakup of the European market
- Further breakup of the APAC market
- Further breakup of the Latin American market
- Further breakup of the MEA market
Company information
- Detailed analysis and profiling of additional market players up to 5
Growth opportunities and latent adjacency in AI Governance Market