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Thailand Artificial Intelligence (AI) Market By Component (Solutions and Services), By Technology (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Others), By Deployment (Cloud and On-premises), By Organization Type (Small & Medium-Sized Enterprises and Large Enterprises), By Industry Vertical (Telecommunication, Manufacturing, Agriculture, Retail & E-Commerce, BFSI and Others), By Region, Competition Forecast and Opportunities, 2028
Market Report (3 business days) I 2023-09-05 I 80 Pages I TechSci Research
Thailand Artificial Intelligence (AI) market is expected to thrive between 2024 and 2028. Artificial intelligence is the reconstruction of human intelligence in computers that have been designed to think and behave like people. Machine learning, machine vision, automation, robotics, and other types of technologies all use artificial intelligence. The industrial landscape is evolving due to artificial intelligence (AI), which includes machine learning (ML) and computer vision. The market for artificial intelligence is expanding as a result of the advancements in deep learning and data-driven AI, and the need to achieve robotic autonomy in order to compete in a market is expected to drive the adoption of AI market. Every industry has already been significantly altered by artificial intelligence (AI). From assisting staff members at transportation firms in foreseeing arrival times or potential problems to foreseeing toxins in food grains. It is assisting scientists in learning more effective cancer treatments, and farmers in determining how to grow more food with fewer natural resources.
Availability of enormous amount of data
The amount of data generated is significantly increasing as a result of widespread internet use and new technologies. Artificial intelligence is being aided by technologies like Industry 4.0, 5G, and the Internet of Things. Big data is the result of a massive increase in data generation as a result of technological advancements. Big data analytics are made simpler by artificial intelligence (AI) by automating and improving data preparation, data visualisation, predictive modelling, and other complex analytical operations that would otherwise be labor- and time-intensive. Artificial Intelligence (AI) accelerates the process of analyzing large, complex data sets and providing relevant insights to users. Yes, the availability of enormous amounts of data is a key factor in the rise of artificial intelligence (AI). Artificial Intelligence (AI) algorithms rely on large amounts of data to train and improve their models, and the growth of digital data has made it possible for artificial intelligence (AI) systems to analyze and learn from vast amounts of information. This data can come from a variety of sources, including customer interactions, financial transactions, sensor readings, and more.
The ability to process and analyze this data has led to new insights and predictions, and has enabled AI algorithms to make more informed and accurate decisions. For example, artificial intelligence (AI) algorithms can use data to identify patterns and trends that would be difficult for humans to detect, and can be used to make predictions about future events and outcomes.
However, the availability of data also raises important concerns about privacy and security. As artificial intelligence (AI) algorithms collect and process large amounts of sensitive information, it's crucial that appropriate measures are put in place to protect this data and ensure that it is used in a responsible and ethical manner. Despite these concerns, the continued availability of data is likely to drive the continued growth and development of artificial intelligence (AI) in the upcoming years.
Rising demand for enhancing consumer experience
In the digital age, a positive consumer experience is critical for survival and business activity. Businesses all over the world are focusing on a contactless and touchless model for delivering goods and services. The trend is especially visible in customer payment preferences. The demand for artificial intelligence (AI) solutions aimed at enhancing the consumer experience has been on the rise in recent years. Artificial Intelligence (AI) technologies like machine learning, natural language processing, and computer vision are being used to develop personalized and intuitive experiences for consumers across a variety of industries, including retail, finance, and healthcare. For example, in the retail industry, artificial intelligence (AI) is being used to develop personalized product recommendations and chatbots that can provide instant customer support. In finance, artificial intelligence (AI) algorithms are being used to analyze large amounts of data to provide personalized financial advice and investment recommendations. In healthcare, artificial intelligence (AI) is being used to analyze patient data to provide personalized treatment plans and to develop early warning systems for potential health issues. The goal of these artificial intelligence (AI) solutions is to provide a more personalized and convenient experience for consumers, making their lives easier and more enjoyable.
Market Segmentation
Thailand Artificial Intelligence (AI) market is segmented by component, technology, Deployment, Organization Type, Industry Vertical, Region and Competitive Landscape. On the basis of component, the market is further segmented into solutions and services. On the basis of technology, the market is further segmented into Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Others. On the basis of Deployment, the market is further segmented into Cloud and On-premises. On the basis of Organization Type, the market is further segmented into Small & Medium-Sized Enterprises and Large Enterprises. On the basis of Industry Vertical, the market is further segmented into Telecommunication, Manufacturing, Agriculture, Retail & E-Commerce, BFSI and Others., Based on Region, the market is segmented into Bangkok, Eastern, North-Eastern, Southern, Northern and Rest of the Thailand.
Market Players
Major market players in the Thailand Artificial Intelligence (AI) market are Google Thailand, Cisco Systems (Thailand) Ltd., Microsoft (Thailand) Limited, IBM Thailand Co., Ltd., Amazon Web Services (Thailand) Company Limited, Salesforce.Com (Thailand) Company Limited, AT & T Worldwide Service Thailand Ltd., Infosys Technology (Thailand) Co., Ltd., BlockchainLabs.ai, CODEMONDAY Co., Ltd.
Report Scope:
In this report, the Thailand Artificial Intelligence (AI) market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
- Thailand Artificial Intelligence (AI) Market, By Component
o Solutions
o Services
- Thailand Artificial Intelligence (AI) Market, By Technology
o Machine Learning
o Deep Learning
o Natural Language Processing
o Computer Vision
o Others
- Thailand Artificial Intelligence (AI) Market, By Deployment
o Cloud
o On-premises
- Thailand Artificial Intelligence (AI) Market, By Organisation Size
o Small & Medium-Sized Enterprises
o Large Enterprises
- Thailand Artificial Intelligence (AI) Market, By Industry Vertical
o Telecommunication
o Manufacturing
o Agriculture
o Retail & E-Commerce
o BFSI
o Others
- Thailand Artificial Intelligence (AI) Market, By Region:
o Bangkok
o Eastern
o North-Eastern
o Southern
o Northern
o Rest of the Thailand
Competitive Landscape
Company Profiles: Detailed analysis of the major companies present in the Thailand Artificial Intelligence (AI) market.
Available Customizations:
Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to five).
1. Service Overview
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. Research Methodology
2.1. Baseline Methodology
2.2. Methodology Followed for Calculation of Market Size
2.3. Methodology Followed for Calculation of Market Shares
2.4. Methodology Followed for Forecasting
3. Executive Summary
4. Impact of COVID-19 on Thailand AI Market
5. Voice of Customers
6. Thailand AI Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Component (Solutions and Services)
6.2.2. By Technology (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Others)
6.2.3. By Deployment (Cloud and On-premises)
6.2.4. By Organisation Type (Small & Medium-Sized Enterprises and Large Enterprises)
6.2.5. By Industry Vertical (Telecommunication, Manufacturing, Agriculture, Retail & E-Commerce, BFSI and Others)
6.2.6. By Region (Bangkok, Eastern, North-Eastern, Southern, Northern and Rest of the Thailand)
6.3. By Company (2022)
6.4. Product Market Map
7. Thailand Artificial Intelligence in Telecommunication Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Component
7.2.2. By Technology
7.2.3. By Deployment
7.2.4. By Organisation Type
8. Thailand Artificial Intelligence in Manufacturing Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Technology
8.2.3. By Deployment
8.2.4. By Organisation Type
9. Thailand Artificial Intelligence in Agriculture Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Technology
9.2.3. By Deployment
9.2.4. By Organisation Type
10. Thailand Artificial Intelligence in Retail & E-Commerce Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Technology
10.2.3. By Deployment
10.2.4. By Organisation Type
11. Thailand Artificial Intelligence in BFSI Market Outlook
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Component
11.2.2. By Technology
11.2.3. By Deployment
11.2.4. By Organisation Type
12. Market Dynamics
12.1. Drivers
12.2. Challenges
13. Market trends & developments
14. Policy & Regulatory Framework
15. Thailand Economic Profile
16. Company Profiles
16.1. Google Thailand
16.1.1. Business Overview
16.1.2. Key Revenue and Financials (If available)
16.1.3. Recent Developments
16.1.4. Key Personnel
16.1.5. Key Product/Services
16.2. Cisco Systems (Thailand) Ltd.
16.2.1. Business Overview
16.2.2. Key Revenue and Financials (If available)
16.2.3. Recent Developments
16.2.4. Key Personnel
16.2.5. Key Product/Services
16.3. Microsoft (Thailand) Limited
16.3.1. Business Overview
16.3.2. Key Revenue and Financials (If available)
16.3.3. Recent Developments
16.3.4. Key Personnel
16.3.5. Key Product/Services
16.4. IBM Thailand Co., Ltd.
16.4.1. Business Overview
16.4.2. Key Revenue and Financials (If available)
16.4.3. Recent Developments
16.4.4. Key Personnel
16.4.5. Key Product/Services
16.5. Amazon Web Services (Thailand) Company Limited
16.5.1. Business Overview
16.5.2. Key Revenue and Financials (If available)
16.5.3. Recent Developments
16.5.4. Key Personnel
16.5.5. Key Product/Services
16.6. Salesforce.Com (Thailand) Company Limited
16.6.1. Business Overview
16.6.2. Key Revenue and Financials (If available)
16.6.3. Recent Developments
16.6.4. Key Personnel
16.6.5. Key Product/Services
16.7. AT & T Worldwide Service Thailand Ltd.
16.7.1. Business Overview
16.7.2. Key Revenue and Financials (If available)
16.7.3. Recent Developments
16.7.4. Key Personnel
16.7.5. Key Product/Services
16.8. Infosys Technology (Thailand) Co., Ltd.
16.8.1. Business Overview
16.8.2. Key Revenue and Financials (If available)
16.8.3. Recent Developments
16.8.4. Key Personnel
16.8.5. Key Product/Services
16.9. BlockchainLabs.ai
16.9.1. Business Overview
16.9.2. Key Revenue and Financials (If available)
16.9.3. Recent Developments
16.9.4. Key Personnel
16.9.5. Key Product/Services
16.10. CODEMONDAY Co., Ltd.
16.10.1. Business Overview
16.10.2. Key Revenue and Financials (If available)
16.10.3. Recent Developments
16.10.4. Key Personnel
16.10.5. Key Product/Services
17. Strategic Recommendations
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