Artificial Intelligence Ai Governance Market
PUBLISHED: 2023 ID: SMRC23868
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Artificial Intelligence Ai Governance Market

Artificial Intelligence (AI) Governance Market Forecasts to 2030 - Global Analysis By Component (Solution and Services), Technology, Deployment Mode, Organization Size, End User and By Geography

4.5 (65 reviews)
4.5 (65 reviews)
Published: 2023 ID: SMRC23868

This report covers the impact of COVID-19 on this global market
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Years Covered

2021-2030

Estimated Year Value (2023)

US $196.0 MN

Projected Year Value (2030)

US $3,136.1 MN

CAGR (2023 - 2030)

48.6%

Regions Covered

North America, Europe, Asia Pacific, South America, and Middle East & Africa

Countries Covered

US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa

Largest Market

North America

Highest Growing Market

Asia Pacific


According to Stratistics MRC, the Global Artificial Intelligence (AI) Governance Market is accounted for $196.0 million in 2023 and is expected to reach $3,136.1 million by 2030 growing at a CAGR of 48.6% during the forecast period. AI governance is predicated on the premise that a legislative framework should be in place to ensure proper research and development of machine learning (ML) technologies to assist humanity in navigating AI systems fairly. The importance of AI governance is growing quickly due to the widespread deployment of artificial intelligence (AI) across a variety of industries, including transportation, commerce, healthcare, education, and public safety. AI governance can be used in these sectors to create online and offline features including real-time offer management, automated checkout processes, and improved customer analytics.

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.



Market Dynamics:

Driver:

Growing need for transparency and trust building

Increase in demand for AI decision-making transparency and the growing requirement to establish trust in AI systems is driving the segment growth. By adding machine learning algorithms and deep learning frameworks, manufacturers of AI governance are concentrating more on improvements in AI, cloud solutions, and services. Due to the ongoing research and application of AI governance solutions to determine the most practical means of achieving company objectives, the market is growing.

Restraint:

Lack of globally acknowledged principles

Without consistent governance frameworks, the AI environment will be fragmented with disparities in accountability and transparency. It will therefore be challenging for many enterprises, governments, and regulatory agencies to establish clear standards, enforce compliance, and foster trust in AI systems as a result of this discrepancy. As a result, it is crucial to establish globally acknowledged norms and frameworks in order to assure ethical and fair AI deployment while lowering risks and sustaining public confidence in AI technology. These elements are anticipated to impede market expansion.

Opportunity:

Increasing use of AI technology

A growing number of industries, including healthcare, banking, manufacturing, and transportation, are adopting these AI frameworks as a result of growing worries about bias, data privacy, accountability, and transparency. The market expansion is being considerably fuelled by factors like the expanding use of AI technologies across sectors like aerospace and defence, healthcare, and BFSI, among others. As a result, comprehensive governance mechanisms exist across all enterprises to guarantee ethical and responsible AI practices.

Threat:

Lack of knowledge and abilities in AI

The requirement for good governance and regulation is growing in significance as artificial intelligence develops quickly. Growth in the market is anticipated to be constrained by the lack of knowledge needed to comprehend and handle the intricate ethical, legal, and sociological challenges surrounding AI. Additionally, experts in designing strong legislation and regulations must have a thorough understanding of AI technology, their possible dangers, and the broader societal ramifications. Therefore, it is anticipated that the absence of qualified specialists to reduce these risks will further impede adoption.

Covid-19 Impact:

Lockdowns and restrictions brought on by the pandemic have sparked an increase in internet activities including telemedicine, remote learning, and virtual social contacts. This change in online activity has sparked worries about online safety, digital well-being, and responsible citizenship. During the pandemic, the AI governance market for digital literacy and education—which is cantered on fostering moral online conduct and tackling the digital divide issues—has been more well-known. The need for ethical AI, responsible technology development, and consulting services in digital ethics is rising as firms work to integrate these technologies in an ethical manner.

The solution segment is expected to be the largest during the forecast period

The solution segment is expected to be the largest during the forecast period owing to the existence of well-diversified market competitors. Suppliers are focusing on providing innovative, creative solutions consistently in pace with technology improvement in order to meet the growing client demand across numerous end-user industry verticals. The desire for integrating them into customers' IT infrastructures and the complexity of adopting Al governance systems and software will drive the growth of integration services.

The on-premises segment is expected to have the highest CAGR during the forecast period

The on-premises segment is expected to have the highest CAGR during the forecast period. Data governance, explainable AI, edge computing, integration with DevOps workflows, scalability, and flexibility are some of the main trends that are driving the industry's growth. These developments demonstrate how important AI governance is becoming and how important it is for enterprises to oversee AI governance. The demand for a traditional on-premises environment that offers a single monolithic network with adequate security measures is driving the segment growth.

Region with largest share:

North America is projected to hold the largest market share during the forecast period due to the increased use of artificial intelligence (Al) by commercial and governmental organizations. Vendors of AI and governance are able to invest in cutting-edge technologies thanks to the country's strong economy. Additionally, it is projected that early adoption of technologies like machine learning by enterprises in developed nations like the U.S. and Canada will stimulate market expansion in the region.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period. Governments in this region are moving quickly to build cutting-edge infrastructure, such 5G networks and data centers. Due to growing ethical concerns in AI technology, which are leading to the creation of a regulatory framework to guarantee that the ML algorithm works for the good of humanity, adoption of AI-powered services in the region is predicted to decrease. Moreover, the industry is anticipated to rise as governments increasingly deploy AI governance.



Key players in the market

Some of the key players in Artificial Intelligence (AI) Governance market include Alphabet Inc., Amazon Web Services, Inc., AnotherBrain, Ataccama Corporation, DarwinAI , DataRobot, Inc., Facebook, FICO , Fiddler Labs, Inc, IBM Corporation, Informatica LLC, Microsoft Corporation, MindsDB Inc., Pymetrics Inc., QlikTech International AB, SAP SE, SAS Institute Inc., SparkCognition, Inc., TIBCO Software Inc. and Zest AI.

Key Developments:

In March 2023, SAS introduced a fantastic machine learning tool. One of the top analytics and AI products for 2023 is SAS Viya.

In February 2022, Meta AI announced opening of sourced data2vec, a unified framework for self-supervised deep learning on speech audio, images, and text data.

In February 2022, Virtana announced the development of a hybrid cloud management solutions platform leveraging ML, AI, and data analytics that allows the customers to plan and execute as well as mange their hybrid cloud implementations.

Components Covered:
• Solution
• Services

Technologies Covered:
• Computer Vision
• Machine Learning
• Natural Language Processing
• Other Technologies

Deployment Modes Covered:
• Cloud
• On-premises

Organization Sizes Covered:
• Small and medium-sized enterprises (SMEs)
• Large enterprises

End Users Covered:
• BFSI
• Healthcare & Life Sciences
• Government & Defence
• Media & Entertainment
• Telecom
• Retail
• Automotive
• Manufacturing
• Other End Users

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions

3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19

4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Artificial Intelligence (AI) Governance Market, By Component
5.1 Introduction
5.2 Solution
5.2.1 Platform
5.2.2 Software Tools
5.3 Services
5.3.1 Consulting
5.3.2 Integration
5.3.3 Support & Maintenance

6 Global Artificial Intelligence (AI) Governance Market, By Technology
6.1 Introduction
6.2 Computer Vision
6.3 Machine Learning
6.4 Natural Language Processing
6.5 Other Technologies

7 Global Artificial Intelligence (AI) Governance Market, By Deployment Mode
7.1 Introduction
7.2 Cloud
7.3 On-premises

8 Global Artificial Intelligence (AI) Governance Market, By Organization Size
8.1 Introduction
8.2 Small and medium-sized enterprises (SMEs)
8.3 Large enterprises

9 Global Artificial Intelligence (AI) Governance Market, By End User
9.1 Introduction
9.2 BFSI
9.3 Healthcare & Life Sciences
9.4 Government & Defence
9.5 Media & Entertainment
9.6 Telecom
9.7 Retail
9.8 Automotive
9.9 Manufacturing
9.10 Other End Users

10 Global Artificial Intelligence (AI) Governance Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa

11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies

12 Company Profiling
12.1 Alphabet Inc.
12.2 Amazon Web Services, Inc.
12.3 AnotherBrain
12.4 Ataccama Corporation
12.5 DarwinAI
12.6 DataRobot, Inc.
12.7 Facebook
12.8 FICO
12.9 Fiddler Labs, Inc
12.10 IBM Corporation
12.11 Informatica LLC
12.12 Microsoft Corporation
12.13 MindsDB Inc.
12.14 Pymetrics Inc.
12.15 QlikTech International AB
12.16 SAP SE
12.17 SAS Institute Inc.
12.18 SparkCognition, Inc.
12.19 TIBCO Software Inc.
12.20 Zest AI

List of Tables
1 Global Artificial Intelligence (AI) Governance Market Outlook, By Region (2021-2030) ($MN)
2 Global Artificial Intelligence (AI) Governance Market Outlook, By Component (2021-2030) ($MN)
3 Global Artificial Intelligence (AI) Governance Market Outlook, By Solution (2021-2030) ($MN)
4 Global Artificial Intelligence (AI) Governance Market Outlook, By Platform (2021-2030) ($MN)
5 Global Artificial Intelligence (AI) Governance Market Outlook, By Software Tools (2021-2030) ($MN)
6 Global Artificial Intelligence (AI) Governance Market Outlook, By Services (2021-2030) ($MN)
7 Global Artificial Intelligence (AI) Governance Market Outlook, By Consulting (2021-2030) ($MN)
8 Global Artificial Intelligence (AI) Governance Market Outlook, By Integration (2021-2030) ($MN)
9 Global Artificial Intelligence (AI) Governance Market Outlook, By Support & Maintenance (2021-2030) ($MN)
10 Global Artificial Intelligence (AI) Governance Market Outlook, By Technology (2021-2030) ($MN)
11 Global Artificial Intelligence (AI) Governance Market Outlook, By Computer Vision (2021-2030) ($MN)
12 Global Artificial Intelligence (AI) Governance Market Outlook, By Machine Learning (2021-2030) ($MN)
13 Global Artificial Intelligence (AI) Governance Market Outlook, By Natural Language Processing (2021-2030) ($MN)
14 Global Artificial Intelligence (AI) Governance Market Outlook, By Other Technologies (2021-2030) ($MN)
15 Global Artificial Intelligence (AI) Governance Market Outlook, By Deployment Mode (2021-2030) ($MN)
16 Global Artificial Intelligence (AI) Governance Market Outlook, By Cloud (2021-2030) ($MN)
17 Global Artificial Intelligence (AI) Governance Market Outlook, By On-premises (2021-2030) ($MN)
18 Global Artificial Intelligence (AI) Governance Market Outlook, By Organization Size (2021-2030) ($MN)
19 Global Artificial Intelligence (AI) Governance Market Outlook, By Small and medium-sized enterprises (SMEs) (2021-2030) ($MN)
20 Global Artificial Intelligence (AI) Governance Market Outlook, By Large enterprises (2021-2030) ($MN)
21 Global Artificial Intelligence (AI) Governance Market Outlook, By End User (2021-2030) ($MN)
22 Global Artificial Intelligence (AI) Governance Market Outlook, By BFSI (2021-2030) ($MN)
23 Global Artificial Intelligence (AI) Governance Market Outlook, By Healthcare & Life Sciences (2021-2030) ($MN)
24 Global Artificial Intelligence (AI) Governance Market Outlook, By Government & Defence (2021-2030) ($MN)
25 Global Artificial Intelligence (AI) Governance Market Outlook, By Media & Entertainment (2021-2030) ($MN)
26 Global Artificial Intelligence (AI) Governance Market Outlook, By Telecom (2021-2030) ($MN)
27 Global Artificial Intelligence (AI) Governance Market Outlook, By Retail (2021-2030) ($MN)
28 Global Artificial Intelligence (AI) Governance Market Outlook, By Automotive (2021-2030) ($MN)
29 Global Artificial Intelligence (AI) Governance Market Outlook, By Manufacturing (2021-2030) ($MN)
30 Global Artificial Intelligence (AI) Governance Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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