Global Artificial Intelligence (AI) Chips Market 2019-2023 - Convergence of AI and IoT / Increasing investments in AI start-ups / Advances in the Quantum Computing Market

DUBLIN, Dec 13, 2018 /PRNewswire/ --

The "Global Artificial Intelligence (AI) Chips Market 2019-2023" report has been added to ResearchAndMarkets.com's offering.

The artificial intelligence (AI) chips market will register a CAGR of about 39% by 2023

IoT technology offers several advantages including the ability to make decisions based on received data without the need for human intervention. This have led to increased adoption of IoT in industries such as automotive, aerospace and defense, healthcare, and consumer electronics. HMI technology is being integrated into devices such as drones, cameras, smartphones, smart TVs, and smart speakers. The deployment of AI chips in these devices will allow power efficient data processing and machine learning computation.

Also, the implementation of automation in homes and enterprises and increasing demand for smart cities are creating a demand for IoT devices. This have resulted in the development of hardware and software for integration of AI technology in IoT devices. This convergence of AI and IoT will be a key trend fueling the growth of artificial intelligence chips market.

Market Overview

Increasing adoption of AI chips in data centers

Data centers comprise of thousands of computers which run on CPUs. The deep neural networks in data centers require huge amount of power for processing large amount of data. To improve uptime and reduce operational costs, the efficiency of data centers must be improved, and power consumption must be reduced. Data center providers are implementing AI technology in their data centers for improved energy efficiency, server optimization, security and infrastructure management. This will create a demand for specialized AI chips for data centers which will boost market growth.

Dearth of technically skilled workers for AI chips development

The R&D costs of AI technology is very high. Therefore, enterprises seek knowledge from experienced AI professionals before integrating AI i their companies. However, the lack of skilled AI experts with required knowledge about AI technology is hampering the growth of the market. The shortage of AI engineers and skilled workforce is restricting the deployment of AI in enterprises. Investments in training programs and skill development must be made to increase the number of skilled AI professionals.

Competitive Landscape

The market appears to be concentrated and with the presence of few companies including Advanced Micro Devices, and Alphabet the competitive environment is less intense. Factors such as the increasing adoption of AI chips in data centers, will provide considerable growth opportunities to artificial intelligence chip manufacturers.

Advanced Micro Devices, Alphabet, Huawei Technologies, Intel, and NVIDIA are some of the major companies covered in this report.

Key Topics Covered:

PART 01: EXECUTIVE SUMMARY

PART 02: SCOPE OF THE REPORT

PART 03: MARKET LANDSCAPE

• Market ecosystem
• Market characteristics
• Market segmentation analysis

PART 04: MARKET SIZING

• Market definition
• Market sizing 2018
• Market size and forecast 2018-2023

PART 05: FIVE FORCES ANALYSIS

• Bargaining power of buyers
• Bargaining power of suppliers
• Threat of new entrants
• Threat of substitutes
• Threat of rivalry
• Market condition

PART 06: MARKET SEGMENTATION BY PRODUCT

PART 07: CUSTOMER LANDSCAPE

• Market segmentation by product
• Comparison by product
• GPUs - Market size and forecast 2018-2023
• ASICs - Market size and forecast 2018-2023
• CPUs - Market size and forecast 2018-2023
• FPGAs - Market size and forecast 2018-2023
• Market opportunity by product

PART 08: CUSTOMER LANDSCAPE

PART 09: GEOGRAPHIC LANDSCAPE

• Geographic segmentation
• Geographic comparison
• Americas - Market size and forecast 2018-2023
• EMEA - Market size and forecast 2018-2023
• APAC - Market size and forecast 2018-2023
• Key leading countries
• Market opportunity

PART 10: DECISION FRAMEWORK

PART 11: DRIVERS AND CHALLENGES

• Market drivers
• Market challenges

PART 12: TRENDS

• Convergence of AI and IoT
• Increasing investments in AI start-ups
• Advances in the quantum computing market

PART 13: VENDOR LANDSCAPE

• Overview
• Landscape disruption
• Competitive scenario

PART 14: VENDOR ANALYSIS

• Vendors covered
• Vendor classification
• Market positioning of vendors
  

• Advanced Micro Devices
• Alphabet
• Huawei Technologies
• Intel
• NVIDIA

For more information about this report visit https://www.researchandmarkets.com/research/qflz8z/global_artificial?w=5

Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.

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