The Latin America, Middle East and Africa AI Governance Market should witness market growth of 42.7% CAGR during the forecast period (2022-2028).
The potential for damage that AI systems may produce is what drives the need for accountability in AI governance. AI programs can potentially make bad judgments that harm people or the environment. Responsibility may aid in ensuring the responsible usage of AI systems and that persons in charge of them are held accountable for any damage they may do. Because AI systems often have access to many data, there is a need for privacy in AI governance. Personal information about people that may be used to identify them or influence choices about them may be included in this data. Data used to train and test AI systems might raise privacy issues.
The ability of AI systems to launch assaults is what drives the need for security in AI governance. AI systems can potentially exploit existing vulnerabilities in computer systems or introduce new ones. Data used to train and test AI systems might raise security issues. Because AI systems are often used to make choices that substantially influence people's lives, trustworthiness in AI governance is necessary. Being trustworthy may guarantee that AI systems are utilized responsibly and that reliable data support their judgements.
The UAE Council for Artificial Intelligence and Blockchain started the establishment of an AI-friendly ecosystem to encourage research in the field and partnerships between the public and commercial sectors to hasten the deployment of AI technology. The Middle East and North Africa (MENA) region's primary center for international commerce and business, the UAE, is a fiercely competitive market for the information and communication technology (ICT) sector. The SmartPass system in the UAE established a digital foundation for all government agencies and departments. These services will include the UAE Strategy for Artificial Intelligence (AI) 2031. The need for responsible AI is increasing along with the deployment of AI and ML technologies, boosting regional market expansion.
The Brazil market dominated the LAMEA AI Governance Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $11,782 Thousands by 2028. The Argentina market is exhibiting a CAGR of 43.5% during (2022-2028). Additionally, The UAE market would display a CAGR of 42.4% during (2022-2028).
Based on Component, the market is segmented into Solution and Services. Based on Vertical, the market is segmented into BFSI, Healthcare & Lifesciences, Media & Entertainment, IT & Telecom, Retail, Government, Automotive and Others. Based on Organization size, the market is segmented into Large Enterprises and SMEs. Based on Deployment Mode, the market is segmented into On-premise and Cloud. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, Google LLC (Alphabet Inc.), IBM Corporation, SAP SE, Amazon Web Services, Inc. (Amazon.com, Inc.), Salesforce.com, Inc., Meta Platforms, Inc., SAS Institute, Inc., Tibco Software, Inc. (Vista Equity Partners), and QlikTech International AB.
The potential for damage that AI systems may produce is what drives the need for accountability in AI governance. AI programs can potentially make bad judgments that harm people or the environment. Responsibility may aid in ensuring the responsible usage of AI systems and that persons in charge of them are held accountable for any damage they may do. Because AI systems often have access to many data, there is a need for privacy in AI governance. Personal information about people that may be used to identify them or influence choices about them may be included in this data. Data used to train and test AI systems might raise privacy issues.
The ability of AI systems to launch assaults is what drives the need for security in AI governance. AI systems can potentially exploit existing vulnerabilities in computer systems or introduce new ones. Data used to train and test AI systems might raise security issues. Because AI systems are often used to make choices that substantially influence people's lives, trustworthiness in AI governance is necessary. Being trustworthy may guarantee that AI systems are utilized responsibly and that reliable data support their judgements.
The UAE Council for Artificial Intelligence and Blockchain started the establishment of an AI-friendly ecosystem to encourage research in the field and partnerships between the public and commercial sectors to hasten the deployment of AI technology. The Middle East and North Africa (MENA) region's primary center for international commerce and business, the UAE, is a fiercely competitive market for the information and communication technology (ICT) sector. The SmartPass system in the UAE established a digital foundation for all government agencies and departments. These services will include the UAE Strategy for Artificial Intelligence (AI) 2031. The need for responsible AI is increasing along with the deployment of AI and ML technologies, boosting regional market expansion.
The Brazil market dominated the LAMEA AI Governance Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $11,782 Thousands by 2028. The Argentina market is exhibiting a CAGR of 43.5% during (2022-2028). Additionally, The UAE market would display a CAGR of 42.4% during (2022-2028).
Based on Component, the market is segmented into Solution and Services. Based on Vertical, the market is segmented into BFSI, Healthcare & Lifesciences, Media & Entertainment, IT & Telecom, Retail, Government, Automotive and Others. Based on Organization size, the market is segmented into Large Enterprises and SMEs. Based on Deployment Mode, the market is segmented into On-premise and Cloud. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, Google LLC (Alphabet Inc.), IBM Corporation, SAP SE, Amazon Web Services, Inc. (Amazon.com, Inc.), Salesforce.com, Inc., Meta Platforms, Inc., SAS Institute, Inc., Tibco Software, Inc. (Vista Equity Partners), and QlikTech International AB.
Scope of the Study
By Component
- Solution
- Services
By Vertical
- BFSI
- Healthcare & Lifesciences
- Media & Entertainment
- IT & Telecom
- Retail
- Government
- Automotive
- Others
By Organization size
- Large Enterprises
- SMEs
By Deployment Mode
- On-premise
- Cloud
By Country
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Key Market Players
List of Companies Profiled in the Report:
- Microsoft Corporation
- Google LLC (Alphabet Inc.)
- IBM Corporation
- SAP SE
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Salesforce.com, Inc.
- Meta Platforms, Inc.
- SAS Institute, Inc.
- Tibco Software, Inc. (Vista Equity Partners)
- QlikTech International AB
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 LAMEA AI Governance Market, by Component
1.4.2 LAMEA AI Governance Market, by Vertical
1.4.3 LAMEA AI Governance Market, by Organization size
1.4.4 LAMEA AI Governance Market, by Deployment Mode
1.4.5 LAMEA AI Governance Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition & Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Analyst's Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Market Share Analysis, 2021
3.4 Top Winning Strategies
3.4.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2018, Apr - 2022, Sep) Leading Players
Chapter 4. LAMEA AI Governance Market by Component
4.1 LAMEA Solution Market by Country
4.2 LAMEA Services Market by Country
Chapter 5. LAMEA AI Governance Market by Vertical
5.1 LAMEA BFSI Market by Country
5.2 LAMEA Healthcare & Lifesciences Market by Country
5.3 LAMEA Media & Entertainment Market by Country
5.4 LAMEA IT & Telecom Market by Country
5.5 LAMEA Retail Market by Country
5.6 LAMEA Government Market by Country
5.7 LAMEA Automotive Market by Country
5.8 LAMEA Other Vertical Market by Country
Chapter 6. LAMEA AI Governance Market by Organization size
6.1 LAMEA Large Enterprises Market by Country
6.2 LAMEA SMEs Market by Country
Chapter 7. LAMEA AI Governance Market by Deployment Mode
7.1 LAMEA On-premise Market by Country
7.2 LAMEA Cloud Market by Country
Chapter 8. LAMEA AI Governance Market by Country
8.1 Brazil AI Governance Market
8.1.1 Brazil AI Governance Market by Component
8.1.2 Brazil AI Governance Market by Vertical
8.1.3 Brazil AI Governance Market by Organization size
8.1.4 Brazil AI Governance Market by Deployment Mode
8.2 Argentina AI Governance Market
8.2.1 Argentina AI Governance Market by Component
8.2.2 Argentina AI Governance Market by Vertical
8.2.3 Argentina AI Governance Market by Organization size
8.2.4 Argentina AI Governance Market by Deployment Mode
8.3 UAE AI Governance Market
8.3.1 UAE AI Governance Market by Component
8.3.2 UAE AI Governance Market by Vertical
8.3.3 UAE AI Governance Market by Organization size
8.3.4 UAE AI Governance Market by Deployment Mode
8.4 Saudi Arabia AI Governance Market
8.4.1 Saudi Arabia AI Governance Market by Component
8.4.2 Saudi Arabia AI Governance Market by Vertical
8.4.3 Saudi Arabia AI Governance Market by Organization size
8.4.4 Saudi Arabia AI Governance Market by Deployment Mode
8.5 South Africa AI Governance Market
8.5.1 South Africa AI Governance Market by Component
8.5.2 South Africa AI Governance Market by Vertical
8.5.3 South Africa AI Governance Market by Organization size
8.5.4 South Africa AI Governance Market by Deployment Mode
8.6 Nigeria AI Governance Market
8.6.1 Nigeria AI Governance Market by Component
8.6.2 Nigeria AI Governance Market by Vertical
8.6.3 Nigeria AI Governance Market by Organization size
8.6.4 Nigeria AI Governance Market by Deployment Mode
8.7 Rest of LAMEA AI Governance Market
8.7.1 Rest of LAMEA AI Governance Market by Component
8.7.2 Rest of LAMEA AI Governance Market by Vertical
8.7.3 Rest of LAMEA AI Governance Market by Organization size
8.7.4 Rest of LAMEA AI Governance Market by Deployment Mode
Chapter 9. Company Profiles
9.1 Microsoft Corporation
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expenses
9.1.5 Recent strategies and developments:
9.1.5.1 Partnerships, Collaborations, and Agreements:
9.1.5.2 Acquisition and Mergers:
9.1.6 SWOT Analysis
9.2 Google LLC (Alphabet Inc.)
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental and Regional Analysis
9.2.4 Research & Development Expense
9.2.5 Recent strategies and developments:
9.2.5.1 Partnerships, Collaborations, and Agreements:
9.2.5.2 Product Launches and Product Expansions:
9.2.5.3 Acquisition and Mergers:
9.2.6 SWOT Analysis
9.3 IBM Corporation
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Regional & Segmental Analysis
9.3.4 Research & Development Expenses
9.3.5 Recent strategies and developments:
9.3.5.1 Product Launches and Product Expansions:
9.3.5.2 Acquisition and Mergers:
9.3.5.3 Geographical Expansions:
9.3.6 SWOT Analysis
9.4 SAP SE
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Segmental and Regional Analysis
9.4.4 Research & Development Expense
9.4.5 Recent strategies and developments:
9.4.5.1 Acquisition and Mergers:
9.4.6 SWOT Analysis
9.5 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Segmental Analysis
9.5.4 Recent strategies and developments:
9.5.4.1 Partnerships, Collaborations, and Agreements:
9.5.5 SWOT Analysis
9.6 Salesforce.com, Inc.
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Regional Analysis
9.6.4 Research & Development Expense
9.6.5 Recent strategies and developments:
9.6.5.1 Partnerships, Collaborations, and Agreements:
9.6.6 SWOT Analysis
9.7 Meta Platforms, Inc.
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segmental and Regional Analysis
9.7.4 Research & Development Expenses
9.7.5 Recent strategies and developments:
9.7.5.1 Partnerships, Collaborations, and Agreements:
9.8 SAS Institute, Inc.
9.8.1 Company Overview
9.8.2 Recent strategies and developments:
9.8.2.1 Partnerships, Collaborations, and Agreements:
9.9 Tibco Software, Inc. (Vista Equity Partners)
9.9.1 Company Overview
9.9.2 Recent strategies and developments:
9.9.2.1 Product Launches and Product Expansions:
9.10. QlikTech International AB
9.10.1 Company Overview
Companies Mentioned
- Microsoft Corporation
- Google LLC (Alphabet Inc.)
- IBM Corporation
- SAP SE
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Salesforce.com, Inc.
- Meta Platforms, Inc.
- SAS Institute, Inc.
- Tibco Software, Inc. (Vista Equity Partners)
- QlikTech International AB
Methodology
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