Report Description

The 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.


Download Free Sample Report

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.

Attribute

Details

Base Year

2022

Historic Data

2018 – 2021

Estimated Year

2023

Forecast Period

2024 – 2028

Quantitative Units

Revenue in USD Million and CAGR for 2018-2022 and 2024-2028

Report coverage

Revenue forecast, company share, growth factors, and trends

Segments covered

By Component

By Technology

By Deployment

By Organization Type

By Industry Vertical

By Region

 

 

Regional scope

Bangkok, Eastern, North-Eastern, Southern, Northern and Rest of the Thailand

Key companies profiled

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

Customization scope

10% free report customization with purchase. Addition or alteration to country, regional & segment scope.

Pricing and purchase options

Avail customized purchase options to meet your exact research needs. Explore purchase options

Delivery Format

PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

 

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).

The Thailand Artificial Intelligence (AI) market is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at [email protected]

Table of content

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

5.1.  Brand Awareness

5.2.  Factors Considered while Selecting Service Provider

5.3.  Key Satisfaction Level

5.4.  Major Challenges Faced

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)

6.2.7. By Company (2022)

6.3.  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

12.1.1.              Proliferation of next-generation computer architecture

12.1.2.              Growth in deep neural network

12.1.3.              Availability of enormous amount of data 

12.2.   Challenges

12.2.1.              High initial costs

12.2.2.              Concerns over the replacement of human workforce

12.2.3.              Concerns regarding data privacy

13. Market trends & developments

13.1.1.              Increasing demand for predictive analytics solutions

13.1.2.              Massive growth in data generation due to technological advancements

13.1.3.              Growth in adoption of cloud-based application and services

13.1.4.              Rising demand for enhanced consumer experience

13.1.5.              Increase in government investments and initiatives

14. Policy & Regulatory Framework

14.1.   Thailand National AI Strategy and Action Plan (2022 – 2027)

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

17.1.   Key focus on growing region

17.2.   Key focus towards dominating Industry Vertical

17.3.   Key focus on various developments such as merger and acquisitions

About Us & Disclaimer

Figures and Tables

Frequently asked questions

down-arrow

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. are the major players of the Thailand Artificial Intelligence (AI) market.

down-arrow

AI is increasingly being used in the manufacturing industry to improve various processes, increase efficiency, and enhance overall production. Some specific ways that AI is being used in manufacturing are predictive maintenance, quality control, supply chain optimization, process optimization, design and prototyping and personalized manufacturing.

down-arrow

Cloud deployment involves using a cloud-based AI service provided by a third-party vendor. This mode requires less investment in hardware, but may have less control over the system and the data it processes.

down-arrow

AI algorithms can automate repetitive and time-consuming tasks, freeing up human workers to focus on higher-level tasks that require creativity, critical thinking, and decision-making skills. AI algorithms can personalize experiences for users based on their individual preferences and behavior, leading to a better user experience.