
Region:Asia
Author(s):Sanjna Verma
Product Code:KROD1407
December 2024
93

The Vietnam Artificial Intelligence Market can be segmented based on several factors:
By Application: Vietnam AI market is segmented by application into healthcare, finance, retail, and manufacturing. In 2023, the healthcare segment dominated this market due to the increasing use of AI in diagnostic tools, personalized medicine, and predictive analytics. The growing demand for enhanced patient care and the adoption of AI for medical imaging and electronic health records contributed to the dominance of this segment.

By Technology: Vietnam AI market is segmented by technology into machine learning, natural language processing (NLP), and computer vision. In 2023, machine learning dominated this segment due to its wide range of applications across various industries, such as fraud detection in finance, customer service automation in retail, and predictive maintenance in manufacturing. The ability of machine learning to improve decision-making and operational efficiency has driven its widespread adoption.

By Region: Vietnam AI market is segmented by region into North, South, East, and West. In 2023, the Northern region, which includes Hanoi, dominated this segment. The concentration of government agencies, research institutions, and tech companies in Hanoi has created a strong ecosystem for AI research and development. The presence of several universities and tech parks also contributes to the region's leadership in the AI market.
|
Company |
Establishment Year |
Headquarters |
|
FPT Corporation |
1988 |
Hanoi, Vietnam |
|
Viettel Group |
1989 |
Hanoi, Vietnam |
|
VNPT |
1946 |
Hanoi, Vietnam |
|
Vingroup |
1993 |
Ho Chi Minh City, Vietnam |
|
Techcombank |
1993 |
Hanoi, Vietnam |
By 2028, the Vietnam Artificial Intelligence market is expected to continue its rapid growth, driven by several key factors. The increasing adoption of AI across various sectors, including manufacturing, healthcare, finance, and public services, will be a significant driver.
|
By Product Type |
Healthcare Finance Retail Manufacturing |
|
By Application |
Machine Learning Natural Language Processing Computer Vision |
|
By Region |
North South East West |
1.1. Definition and Scope
1.2. Market Taxonomy
1.3. Market Growth Rate
2.1. Historical Market Size
2.2. Year-on-Year Growth Analysis
2.3. Key Market Developments and Milestones
3.1. Growth Drivers
3.1.1. Increase in AI Investment and Funding
3.1.2. Adoption of AI in the Public Sector
3.1.3. Increased Adoption in Enterprises
3.1.4. Advancements in AI Technology
3.2. Restraints
3.2.1. High Implementation Costs
3.2.2. Data Privacy Concerns
3.2.3. Lack of Skilled Workforce
3.3. Opportunities
3.3.1. Growth in Startups
3.3.2. AI Integration in Various Sectors
3.3.3. Collaboration with International Firms
3.4. Trends
3.4.1. Use of AI in Fintech
3.4.2. AI in Healthcare and Diagnostics
3.4.3. AI-driven Customer Service and Chatbots
3.5. Government Regulation
3.5.1. "AI in Industry 4.0" Initiative
3.5.2. STEAM Education Promotion
3.5.3. Data Protection Laws
3.6. SWOT Analysis
3.7. Stakeholder Ecosystem
3.8. Competition Ecosystem
4.1. By Product Type (in Value %)
4.1.1 Healthcare
4.1.2 Finance
4.1.3 Retail
4.1.4 Manufacturing
4.2. By Technology (in Value %)
4.2.1. Machine Learning
4.2.2. Natural Language Processing
4.2.3. Computer Vision
4.3. By Application (in Value %)
4.3.1 Machine Learning
4.3.2 Natural Language Processing
4.3.3 Computer Vision
4.4. By End-User (in Value %)
4.4.1. Enterprises
4.4.2. Government
4.4.3. Consumers
4.5. By Region (in Value %)
4.5.1. North
4.5.2. East
4.5.3. South
4.5.4 West
5.1. Detailed Profiles of Major Companies
5.1.1. FPT Corporation
5.1.2. Viettel Group
5.1.3. VNPT
5.1.4. Vingroup
5.1.5. Techcombank
5.1.6. CMC Corporation
5.1.7. VNG Corporation
5.1.8. Mobifone
5.1.9. BIDV (Bank for Investment and Development of Vietnam)
5.1.10. ACB (Asia Commercial Bank)
5.1.11. BaoViet Holdings
5.1.12. VinAI Research
5.1.13. Grab Vietnam
5.1.14. Sun Group
5.1.15. Bamboo Airways
5.2. Cross Comparison Parameters (No. of Employees, Headquarters, Inception Year, Revenue)
6.1. Market Share Analysis
6.2. Strategic Initiatives
6.3. Mergers and Acquisitions
6.4. Investment Analysis
6.4.1. Venture Capital Funding
6.4.2. Government Grants
6.4.3. Private Equity Investments
7.1. AI Development Policies
7.2. Compliance Requirements
7.3. Certification Processes
8.1. Future Market Size Projections
8.2. Key Factors Driving Future Market Growth
9.1. By Product Type (in Value %)
9.2. By Technology (in Value %)
9.3. By Application (in Value %)
9.4. By End-User (in Value %)
9.5. By Region (in Value %)
10.1. TAM/SAM/SOM Analysis
10.2. Customer Cohort Analysis
10.3. Marketing Initiatives
10.4. White Space Opportunity Analysis
Disclaimer Contact UsEcosystem creation for all the major entities and referring to multiple secondary and proprietary databases to perform desk research around market to collate industry level information.
Collating statistics on Vietnam Artificial Intelligence Market over the years, penetration of marketplaces and service providers ratio to compute revenue generated for Vietnam Artificial Intelligence Market. We will also review service quality statistics to understand revenue generated which can ensure accuracy behind the data points shared.
Building market hypothesis and conducting CATIs with industry experts belonging to different companies to validate statistics and seek operational and financial information from company representatives.
Our team will approach multiple artificial intelligence suppliers and distributors companies and understand nature of product segments and sales, consumer preference and other parameters, which will support us validate statistics derived through bottom to top approach from artificial intelligence suppliers and distributors companies.
Vietnam Artificial Intelligence (AI) market was valued at USD 554 million in 2023. This growth was driven by increasing digitalization across various sectors, a growing emphasis on technological advancement by businesses, and supportive government policies aimed at fostering innovation and AI adoption
The growth of the Vietnam Artificial Intelligence market is driven by increased investment in AI technologies, government support through strategic initiatives, and the rapid digital transformation of enterprises across various industries, enhancing operational efficiency and customer experience.
Challenges in the Vietnam Artificial Intelligence market include a shortage of skilled professionals, high costs of AI implementation, and data privacy and security concerns. These issues hinder widespread adoption and the development of AI technologies in the country.
Major players in the Vietnam Artificial Intelligence market include FPT Corporation, Viettel Group, VNPT, Vingroup, and Techcombank. These companies lead in AI adoption and innovation across sectors such as telecommunications, healthcare, and finance.
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