Global Artificial Intelligence (AI) Chip Market Set to Record a CAGR of 45.2% Between 2019 & 2025 - ASIC Segment Anticipated to Overtake the GPU Type in the Near Future, in Terms of Revenue

Wednesday, 28. August 2019 12:29

Dublin, Aug. 28, 2019 (GLOBE NEWSWIRE) -- The "Artificial Intelligence Chip Market: Global Opportunity Analysis and Industry Forecast, 2019-2025" report has been added to's offering.

  • This study comprises analytical depiction of the global artificial intelligence chip market along with the current trends and future estimations to depict the imminent investment pockets.
  • The overall market potential is determined to understand the profitable trends to gain a stronger coverage in the market.
  • The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
  • The current market is quantitatively analyzed from 2018 to 2025 to highlight the financial competency of the AI chip market.
  • Porter's five forces analysis illustrates the potency of the buyers and suppliers.

The global artificial intelligence chip market size was valued at $6,638 million in 2018, and is projected to reach $91,185.1 million by 2025, growing at a CAGR of 45.2% from 2019 to 2025.

At present, North America dominates the artificial intelligence chip market owing to technological advancements. Ongoing R&D activities in autonomous vehicles, healthcare, cyber security, and security & access control are expected to fuel the market growth. In addition, increase in penetration of head-up display screens in luxury cars, smart wearables, and growth in venture capital investments propel the adoption of AI solutions in this region, followed by Europe.

In 2018, U.S. dominated the North America market and UK led the overall AI chip market in Europe. However, in Asia-Pacific, China currently dominates the market. China has progressively competed with the U.S. in technological innovations in AI. Many tech companies in China, such as Baidu, invested heavily in technology and have employed skilled employees from its foreign rivals.

The enormous data generated by numerous internet users in the country is expected to be a key driving factor for the global artificial intelligence chip market growth. In addition, in May 2018, Cambricon (pioneer in the field of smart chips in the world) unveiled its 3rd generation AI chip for edge devices with the help of TSMC 7nm technology. In addition, the company aims for having one billion smart devices which is expected to be using its AI processor.

AI chips are powerful to handle large and parallel operations efficiently. Various chip makers companies are acquiring AI startups to enhance and strengthen their AI chip product portfolio. For instance, Intel acquired Nervana, a small AI software firm for its deep learning accelerator GPU chip. GPUs are highly adopted chip for neural networks. Neural network processors are built for deep learning, offering high speed bi-direction data transfer. GPU is a crucial component of AI and Machine Learning. Nvidia, AMD, Xilinx, Qualcomm, and Intel are some of the AI chip makers.

Moreover, Apple, Qualcomm, Huawei, MediaTek, and Samsung are the top AI chip makers for the smartphone market. Nvidia and AMD are the top sellers to sell GPU for AI-based services. The growth of the global artificial intelligence chip market is driven by increase in demand for smart homes, development of smart cities, and emergence of quantum computing. AI can provide impetus to initiate smart city programs in the developing countries such as India. Tools and technologies that are artificially intelligent possess a massive potential in transforming interconnected digital homes and smart cities.

Furthermore, the creation of a chip that embeds inbuilt AI network has emerged as an opportunity for the AI chip market. However, dearth of skilled workforce restrains the AI chip market growth. Further, in the near future, increased adoption of AI chips in the developing regions and development of smarter robots are expected to provide lucrative opportunities for the key players operating in the artificial intelligence chip market.

Key Findings

  • Based on chip type, the GPU segment led the AI chip market in 2018. However, the ASIC segment is anticipated to overtake the GPU type in the near future, in terms of revenue.
  • The natural language processing application dominated the global AI chip market in 2018.
  • The North America region held the majority of artificial intelligence chip market share in 2018.
  • By industry vertical, the BFSI segment dominated the global artificial intelligence chip market in 2018. However, the others segment is expected to grow at a highest CAGR during the forecast period.
  • Asia-Pacific is anticipated to exhibit the highest CAGR during the forecast period.

Key Topics Covered

Chapter 1: Introduction

Chapter 2: Executive Summary

2.1. Industry Roadmap
2.2. CXO Perspective

Chapter 3: Market Overview
3.1. Market Definition and Scope
3.2. Key Findings
3.3. Porter's Five Forces Analysis
3.4. AI Chip Market - Value Chain Analysis
3.5. Market Share Analysis, 2018
3.6. Market Dynamics
3.6.1. Drivers Increase in Demand for Smart Homes & Smart Cities Rise in Investments in AI Start-ups Emergence of Quantum Computing
3.6.2. Restraint Dearth of Skilled Workforce
3.6.3. Opportunities Increased Adoption of AI Chips in the Developing Regions Development of Smarter Robots
3.7. Race Analysis
3.8. Patent Analysis

Chapter 4: Artificial Intelligence Chip Market, by Chip Type
4.1. Overview
4.2. GPU
4.3. ASIC
4.4. FPGA
4.5. CPU
4.6. Others (NPU & Hybrid Chip)

Chapter 5: Artificial Intelligence Chip Market, by Application
5.1. Overview
5.2. Natural Language Processing (NLP)
5.3. Robotic Process Automation
5.4. Computer Vision
5.5. Network Security
5.6. Others

Chapter 6: Artificial Intelligence Chip Market, by Technology
6.1. Overview
6.2. System-On-Chip (SOC)
6.3. System-In-Package (SIP)
6.4. Multi-Chip Module
6.5. Others (Package in Package, TSV)

Chapter 7: Artificial Intelligence Chip Market, by Processing Type
7.1. Overview
7.2. Edge
7.3. Cloud

Chapter 8: Artificial Intelligence Chip Market, by Industry Vertical
8.1. Overview
8.2. Media & Advertising
8.3. BFSI
8.4. IT & Telecom
8.5. Retail
8.6. Healthcare
8.7. Automotive
8.8. Others

Chapter 9: Artificial Intelligence Chip Market, by Region
9.1. Overview
9.2. North America
9.3. Europe
9.4. Asia-Pacific
9.5. LAMEA

Chapter 10: Company Profiles
10.1. Adapteva, Inc.
10.2. Advanced Micro Devices, Inc.
10.3. Alphabet Inc. (Google Inc.)
10.4., Inc.
10.5. Analog Devices, Inc.
10.6. Applied Materials, Inc.
10.7. Baidu, Inc.
10.8. Bitmain Technologies Ltd.
10.9. Broadcom Limited
10.10. Cambricon Technologies Corporation Limited
10.11. Graphcore Ltd.
10.12. Groq
10.13. Gyrfalcon Technology Inc.
10.14. Horizon Robotics, Inc.
10.15. Huawei Technologies Co. Ltd.
10.16. Intel Corporation
10.17. International Business Management Corporation
10.18. Knuedge, Inc.
10.19. Krtkl Inc.
10.20. Mediatek, Inc.
10.21. Micron Technology, Inc.
10.22. Microsemi Corporation
10.23. Mythic, Inc.
10.24. NEC Corporation
10.25. Korea Electronic Certification Authority, Inc. (AI Brain, Inc.)
10.26. Nvidia Corporation
10.27. NXP Semiconductors N.V.
10.28. Qualcomm Incorporated
10.29. Samsung Electronics Co. Ltd.
10.30. Shanghai Think-Force Electronic Technology Co. Ltd.
10.31. SK Hynix, Inc.
10.32. Softbank Group Corp. (Arm Holdings PLC)
10.33. Taiwan Semiconductor Manufacturing Company Limited
10.34. Tenstorrent Inc.
10.35. Texas Instruments Incorporated
10.36. Toshiba Corporation
10.37. University of California System (University of California, Davis)
10.38. Wave Computing, Inc.
10.39. Xilinx, Inc.

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