The Asia Pacific AI Chip market accounted for US$ 1.03 Bn in 2018 and is expected to grow at a CAGR of 40.9% over the forecast period 2019- 2027, to account for US$ 22.27 Bn in 2027. The increase in digitalization, presence of the huge amount of data, and significant adoption of advanced technologies by various industries are the key drivers that are propelling the growth of the AI Chip market. Moreover, the increase in the integration of cloud-based computing across industries and the proliferation of edge devices are expected to boost the AI Chip market growth in the forecast period. All the major industries across are globe including BFSI, retail, IT & telecom, automotive & transportation, healthcare, media & entertainment, manufacturing, government, energy & power are embracing and investing in disruptive technologies such as artificial intelligence, IoT, big data, and predictive analytics among others. This adoption is driven by the successful uses cases of AI, which resulted in increased operational efficiency, better sales revenue, and improved customer experiences. This adoption is driven by the successful uses cases of AI, which resulted in increased operational efficiency, better sales revenue, and improved customer experiences. Artificial intelligence facilitates businesses to prioritize and automate their decision making. It also helps in analyzing big complex structured and unstructured data to provide deeper insights and improve efficiency by accurate planning. With all these applications, artificial intelligence enables businesses to improve operational efficiency, lower operating costs, enhance service quality, and customer experience. Further, the AI Chip market players are focusing on various initiatives to enhance their capabilities and boost its position in the market.
The AI Chip market is fragmented in nature due to the presence of several industries, and the competitive dynamics in the market is expected to change during the upcoming years. In addition, various initiatives are undertaken by the governmental bodies to accelerate the AI Chip market further. For instance, the governments of various countries in this region are trying to attract FDI in the technology sector with the increasing need for enhanced technology-related services. For instance, China's government relaxed the restrictions on new entries with an objective to encourage overseas and private capital to invest in its economy. Moreover, in developing countries, irregular taxation policies on businesses lead to stagnation when it comes to advanced technologies. For instance, in the Asia Pacific region, China levies heavy taxes on any businesses which are from outside China, which makes it difficult for businesses to invest. Also, it affects other OEMs in the Asia Pacific region, and this will, in turn, impact the growth of AI Chip market.
On the basis of type, GPU market led the Asia Pacific AI Chip market in 2018 with a maximum market share and is expected to continue its dominance during the forecast period. Presently in artificial intelligence applications, Graphics Processing Units or GPUs are the most widely used hardware. High parallelism and memory bandwidth of GPUs make them the most viable option for machine and deep learning applications, especially in training. GPUs were initially used to accelerate a large number of multiple and add calculations executed in graphics rendering. With an increase in demand for high performance graphics, the demand for powerful GPUs also grew. With continuous improvements, the GPU is becoming much more powerful than the CPU.
The overall AI Chip market size has been derived using both primary and secondary source. The research process begins with exhaustive secondary research using internal and external sources to obtain qualitative and quantitative information related to the AI Chip market. It also provides an overview and forecast for the AI Chip market based on all the segmentation provided with respect to the Asia Pacific region. Also, primary interviews were conducted with industry participants and commentators to validate data and analysis. The participants who typically take part in such a process include industry expert such as VPs, business development managers, market intelligence managers, and national sales managers, and external consultants such as valuation experts, research analysts, and key opinion leaders specializing in the AI Chip market. Some of the players present in AI Chip market are Advanced Micro Devices, Inc., Alphabet Inc. (Google), Huawei Technologies Co., Ltd., IBM Corporation, Intel Corporation, Micron Technology, Inc., NVIDIA Corporation, Qualcomm Incorporated, Samsung Electronics Co., Ltd., and Xilinx, Inc. among others.
TABLE OF CONTENTS
PART 1. INTRODUCTION
1.1 SCOPE OF THE STUDY
1.2 Publisher RESEARCH REPORT GUIDANCE
1.3 MARKET SEGMENTATION
 1.3.1 Asia Pacific AI Chip Market - By Segment
 1.3.2 Asia Pacific AI Chip Market - By Type
 1.3.3 Asia Pacific AI Chip Market - By Industry Vertical
 1.3.4 Asia Pacific AI Chip Market - By Geography
PART 2. KEY TAKEAWAYS
PART 3. RESEARCH METHODOLOGY
3.1 COVERAGE
3.2 SECONDARY RESEARCH
3.3 PRIMARY RESEARCH
PART 4. ARTIFICIAL INTELLIGENCE CHIP MARKET LANDSCAPE
4.1 MARKET OVERVIEW
4.2 ECOSYSTEM ANALYSIS
4.3 PEST ANALYSIS - ASIA PACIFIC
PART 5. ARTIFICIAL INTELLIGENCE CHIP MARKET - KEY INDUSTRY DYNAMICS
5.1 KEY MARKET DRIVERS
 5.1.1 Increase in Digitalization and Presence of huge amount of data
 5.1.2 Significant Adoption of advanced technologies by Various Industries
5.2 KEY MARKET RESTRAINTS
 5.2.1 Lack of infrastructure and technology know-how in third world countries
5.3 KEY MARKET OPPORTUNITIES
 5.3.1 Increase in integration of cloud-based computing across industries
 5.3.2 Proliferation of edge devices
5.4 FUTURE TRENDS
 5.4.1 ASICs and application-specific custom/hybrid AI chips will be the future of AI chip market
5.5 IMPACT ANALYSIS OF DRIVERS AND RESTRAINTS
PART 6. ARTIFICIAL INTELLIGENCE CHIP - ASIA PACIFIC MARKET ANALYSIS
6.1 ASIA PACIFIC AI CHIP MARKET OVERVIEW
6.2 ASIA PACIFIC AI CHIP MARKET FORECAST AND ANALYSIS
PART 7. ASIA PACIFIC ARTIFICIAL INTELLIGENCE CHIP ANALYSIS - BY SEGMENT
7.1 OVERVIEW
7.2 ASIA PACIFIC AI CHIP BREAKDOWN, BY SEGMENT, 2018 & 2027
7.3 DATA CENTER
 7.3.1 Overview
 7.3.2 Asia Pacific Data Center Revenue and Forecasts to 2027 (US$ Mn)
7.4 EGDE
 7.4.1 Overview
 7.4.2 Asia Pacific Edge Market Revenue and Forecasts to 2027 (US$ Mn)
PART 8. ASIA PACIFIC ARTIFICIAL INTELLIGENCE CHIP REVENUE AND FORECASTS TO 2027 - TYPE
8.1 OVERVIEW
8.2 ASIA PACIFIC AI CHIP BREAKDOWN, BY TYPE, 2018 & 2027
8.3 CPU
 8.3.1 Overview
 8.3.2 Asia Pacific CPU Market Revenue and Forecasts to 2027 (US$ Mn)
8.4 GPU
 8.4.1 Overview
 8.4.2 Asia Pacific GPU Market Revenue and Forecasts to 2027 (US$ Mn)
8.5 ASIC
 8.5.1 Overview
 8.5.2 Asia Pacific ASIC Revenue and Forecasts to 2027 (US$ Mn)
8.6 FPGA
 8.6.1 Overview
 8.6.2 Asia Pacific FPGA Revenue and Forecasts to 2027 (US$ Mn)
8.7 OTHERS
 8.7.1 Overview
 8.7.2 Asia Pacific Others Revenue and Forecasts to 2027 (US$ Mn)
PART 9. ASIA PACIFIC ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE AND FORECASTS TO 2027 - INDUSTRY VERTICAL
9.1 OVERVIEW
9.2 ASIA AI CHIP MARKET BREAKDOWN, BY INDUSTRY VERTICAL, 2018 & 2027
9.3 BFSI MARKET
 9.3.1 Overview
 9.3.2 Asia Pacific BFSI Market Revenue and Forecasts to 2027 (US$ Mn)
9.4 RETAIL MARKET
 9.4.1 Overview
 9.4.2 Asia Pacific Retail Market Revenue and Forecasts to 2027 (US$ Mn)
9.5 IT & TELECOM MARKET
 9.5.1 Overview
 9.5.2 Asia Pacific IT & Telecom Market Revenue and Forecasts to 2027 (US$ Mn)
9.6 AUTOMOTIVE & TRANSPORTATION MARKET
 9.6.1 Overview
 9.6.2 Asia Pacific Automotive & Transportation Market Revenue and Forecasts to 2027 (US$ Mn)
9.7 HEALTHCARE MARKET
 9.7.1 Overview
 9.7.2 Asia Pacific Healthcare Market Revenue and Forecasts to 2027 (US$ Mn)
9.8 MEDIA & ENTERTAINMENT MARKET
 9.8.1 Overview
 9.8.2 Asia Pacific Media & Entertainment Market Revenue and Forecasts to 2027 (US$ Mn)
9.9 OTHERS MARKET
 9.9.1 Overview
 9.9.2 Asia Pacific Others Market Revenue and Forecasts to 2027 (US$ Mn)
PART 10. ASIA PACIFIC ARTIFICIAL INTELLIGENCE CHIP MARKET - COUNTRY ANALYSIS
10.1 OVERVIEW
10.2 ASIA PACIFIC AI CHIP MARKET REVENUE AND FORECASTS TO 2027
 10.2.1 Asia Pacific AI chip market Breakdown, by Key Countries
 10.2.1.1 South Korea AI chip market Revenue and Forecasts to 2027 (US$ MN)
 10.2.1.1.1 South Korea AI chip market Breakdown by Segment
 10.2.1.1.2 South Korea AI chip market Breakdown by Type
 10.2.1.1.3 South Korea AI chip market Breakdown by Industry Vertical
 10.2.1.2 China AI chip market Revenue and Forecasts to 2027 (US$ MN)
 10.2.1.2.1 China AI chip market Breakdown by Segment
 10.2.1.2.2 China AI chip market Breakdown by Type
 10.2.1.2.3 China AI chip market Breakdown by Industry Vertical
 10.2.1.3 India AI chip market Revenue and Forecasts to 2027 (US$ Mn)
 10.2.1.3.1 India AI chip market Breakdown by Segment
 10.2.1.3.2 India AI chip market Breakdown by Type
 10.2.1.3.3 India AI chip market Breakdown by Industry Vertical
 10.2.1.4 Japan AI chip market Revenue and Forecasts to 2027 (US$ Mn)
 10.2.1.4.1 Japan AI chip market Breakdown by Segment
 10.2.1.4.2 Japan AI chip market Breakdown by Type
 10.2.1.4.3 Japan AI chip market Breakdown by Industry Vertical
 10.2.1.5 Australia AI chip market Revenue and Forecasts to 2027 (US$ Mn)
 10.2.1.5.1 Australia AI chip market Breakdown by Segment
 10.2.1.5.2 Australia AI chip market Breakdown by Type
 10.2.1.5.3 Australia AI chip market Breakdown by Industry Vertical
 10.2.1.6 Rest of Asia Pacific AI chip market Revenue and Forecasts to 2027 (US$ Mn)
 10.2.1.6.1 Rest of Asia Pacific AI chip market Breakdown by Segment
 10.2.1.6.2 Rest of Asia Pacific AI chip market Breakdown by Type
 10.2.1.6.3 Rest of Asia Pacific AI chip market Breakdown by Industry Vertical
PART 11. INDUSTRY LANDSCAPE
11.1 OVERVIEW
11.2 MARKET INITIATIVE
11.3 MERGER AND ACQUISITION
11.4 NEW DEVELOPMENT
PART 12. COMPANY PROFILES
12.1 ADVANCED MICRO DEVICES, INC.
 12.1.1 Key Facts
 12.1.2 Business Description
 12.1.3 Products and Services
 12.1.4 Financial Overview
 12.1.5 SWOT Analysis
 12.1.6 Key Developments
12.2 ALPHABET INC. (GOOGLE)
 12.2.1 Key Facts
 12.2.2 Business Description
 12.2.3 Products and Services
 12.2.4 Financial Overview
 12.2.5 SWOT Analysis
 12.2.6 Key Developments
12.3 HUAWEI TECHNOLOGIES CO., LTD.
 12.3.1 Key Facts
 12.3.2 Business Description
 12.3.3 Products and Services
 12.3.4 Financial Overview
 12.3.5 SWOT Analysis
 12.3.6 Key Developments
12.4 IBM CORPORATION
 12.4.1 Key Facts
 12.4.2 Business Description
 12.4.3 Products and Services
 12.4.4 Financial Overview
 12.4.5 SWOT Analysis
 12.4.6 Key Developments
12.5 INTEL CORPORATION
 12.5.1 Key Facts
 12.5.2 Business Description
 12.5.3 Products and Services
 12.5.4 Financial Overview
 12.5.5 SWOT Analysis
 12.5.6 Key Developments
12.6 MICRON TECHNOLOGY, INC.
 12.6.1 Key Facts
 12.6.2 Business Description
 12.6.3 Products and Services
 12.6.4 Financial Overview
 12.6.5 SWOT Analysis
 12.6.6 Key Developments
12.7 NVIDIA CORPORATION
 12.7.1 Key Facts
 12.7.2 Business Description
 12.7.3 Products and Services
 12.7.4 Financial Overview
 12.7.5 SWOT Analysis
 12.7.6 Key Developments
12.8 QUALCOMM INCORPORATED
 12.8.1 Key Facts
 12.8.2 Business Description
 12.8.3 Products and Services
 12.8.4 Financial Overview
 12.8.5 SWOT Analysis
 12.8.6 Key Developments
12.9 SAMSUNG ELECTRONICS CO., LTD.
 12.9.1 Key Facts
 12.9.2 Business Description
 12.9.3 Products and Services
 12.9.4 Financial Overview
 12.9.5 SWOT Analysis
 12.9.6 Key Developments
12.10 XILINX, INC.
 12.10.1 Key Facts
 12.10.2 Business Description
 12.10.3 Products and Services
 12.10.4 Financial Overview
 12.10.5 SWOT Analysis
 12.10.6 Key Developments
PART 13. APPENDIX
13.1 ABOUT Publisher
13.2 GLOSSARY
LIST OF TABLES
LIST OF FIGURES
The List of Companies
1. Advanced Micro Devices, Inc.
2. Alphabet Inc. (Google)
3. Huawei Technologies Co., Ltd.
4. IBM Corporation
5. Intel Corporation
6. Micron Technology, Inc.
7. NVIDIA Corporation
8. Qualcomm Incorporated
9. Samsung Electronics Co., Ltd.
10. Xilinx, Inc.