The artificial intelligence (AI) chipsets market is expected to reach USD 43.3 billion in 2023 from USD 6.8 billion in 2017, witnessing a CAGR of 33.9% during the forecast period 2018 - 2023. The report profiles the companies engaged in volume production and research and development (R&D) of artificial intelligence chipsets.
Artificial intelligence (AI) is making its way into almost every area of consumer electronics. It is expanding its applications from smartphones to the automobile industry. This expansion is leading to numerous opportunities to semiconductor industries. The need for processing rapidly growing volume of data is the key factor impacting the growth of the AI chipset market. The increasing social media and E-commerce penetration are resulting in an increase of the volume of data. For, instance E-commerce users in India generate over 30-40 TB (Terabytes) of data daily, which is the equivalent of content in 50 lakh Yellow Pages books. The need to process such huge data at a faster rate is driving the market. The increasing growth of machine learning in various sectors, such as automotive, finance, and retail is boosting the adoption of AI chipsets. The most popular application of AI chipsets in machine learning, which involves the manufacture of the driverless car is gaining momentum. The increasing focus on developing human-aware AI systems is increasing the growth of the market.
Growing demand for high-speed computing processors and increasing demand for improving consumer services and reducing operational costs is driving the growth of the AI chipsets market, while lack of skilled workforce and absence of standards and protocols is restraining the growth of the market.
Growing demand for high-speed computing processors is driving the Artificial intelligence Chipsets Market
The large availability of data has increased the standards of computing. The incapability of traditional computing methods to process big data has driven to the need for high-performance computing. A high-speed computing processor enables machine learning, which consists of deep learning, reinforcement learning supervised, and unsupervised learning. These machine learning devices are equipped with AI processing chipsets. The increasing interests of people toward machine learning and computer vision are driving companies to invest in the development of high-speed computing processors, as well as in high-performance computing. Companies, like Tesla, Apple, Google, and IBM are investing in increasing the innovations involving AI chipsets.
Asia-Pacific to have the Major Growth over the Forecast Period
Asia-Pacific has held the highest growth in AI chipsets market and is expected to have a significant growth over the forecast period. The adoption of AI across various end-user industries, such as consumer electronics, healthcare, automotive, robotics, and agriculture industries increased the growth of the market in the region. The application of AI chipset in consumer electronics, such as smartphones, tablets, laptops involves the integration of voice commands, enhancement of photography experience, gathering and sorting relevant data based on past searches, etc., which has resulted in the high adoption of AI chipsets. The region has the major presence of smartphone manufacturers and semiconductor industries in the world. Countries, like China, Japan, Taiwan, and South Korea have nearly 80% of the global smartphone manufacturers. The highest population has resulted in an increase in usage of smartphones, which is expected to result in the growth of the market.
Key Developments in the Artificial intelligence Chipsets Market
May 2018: Google launched the third version of its A.I. chips. The new Tensor Processing Units (TPUs) would help Google improve applications that use AI to do things, like voice recognition, spot objects in photos and videos, and pick up underlying emotions in written text
Dec 2017: IBM and Nvidia collaborate to produce new AI chips. IBM’s new Power9 series of chips are intended to help processors work closely with graphics processing chips from Nvidia
Artificial intelligence Chipsets Market Major Players:
Micron Technology, Inc.
Huawei Technologies Co. Ltd
Samsung Electronics Co Ltd
Reasons to Purchase Artificial intelligence Chipsets Market Report
To understand the impact of high-speed computing on the market
Analysis of various perspectives of the market with the help of Porter’s five forces analysis
The segments that are expected to dominate the market
Regional analysis of the market during the forecast period
Latest developments, market shares, and strategies employed by the major market players and key innovators
3-month analyst support, along with the Market Estimate sheet (in excel)
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1.1 Key Deliverables of the Artificial Intelligence Chipset (AI) Market Study
1.2 Artificial Intelligence (AI) Chipset Market Study Assumptions
1.3 Artificial Intelligence (AI) Chipset Market Definition
1. 4 Key Findings of the Artificial Intelligence (AI) Chipset Market Study
2. Research Approach and Methodology
3. Executive Summary
4. Artificial Intelligence (AI) Chipset Market Insights
4.1 Artificial Intelligence (AI) Chipset Market Overview
4.2 Industry Value Chain Analysis
4. 3 Factors Driving the Artificial Intelligence (AI) Chipset Market
4.3.1 Growing demand for high-computing processors
4.3.2 Growing Number of AI Applications
4.4 Factors restraining the Artificial Intelligence (AI) Chipset Market
4.4.1 Lack of skilled workforce and absence of standards and protocols
4.5 Industry Attractiveness √ź Porter√ēs Five Industry Forces Analysis
4.5.1 Bargaining Power of Suppliers
4.5.2 Bargaining Power of Consumers
4.5.3 Threat of New Entrants
4.5.4 Threat of substitute Products or Services
4.5.5 Competitive Rivalry among Existing Competitors
5. Global Artificial Intelligence (AI) Chipsets Market Segmentation
5.1 Artificial intelligence Chipsets Market By Technology
5.1.1 Machine Learning (ML)
5.1.2 Natural Language Processing (NLP)
5.1.3 Context-aware Computing
5.1.4 Computer Vision
5.2 Artificial intelligence Chipsets Market By Hardware
5.3 By End-users Industry
5.3.7 Other End-users Industries
5.4 Artificial intelligence Chipsets Market By Region
5.4.1 North America
220.127.116.11 United States
18.104.22.168 United Kingdom
22.214.171.124 Rest of Europe
126.96.36.199 Rest of Asia Pacific
5.4.4 Middle East & Africa
188.8.131.52 United Arab Emirates
184.108.40.206 Saudi Arabia
220.127.116.11 Rest of Middle East & Africa
5.4.5 Latin America
18.104.22.168 Rest of Latin America
6. Artificial intelligence Chipsets Market Competitive Intelligence √ź Company Profiles
6.1 NVIDIA Corporation
6.2 IBM Corporation
6.3 Google Inc.
6.4 Intel Corporation
6.5 Baidu Inc.
6.6 Amazon Inc.
6.7 Microsoft Corporation
6.9 Qualcomm Incorporated
6.10 Micron Technology, Inc.
6.11 Huawei Technologies Co. Ltd
6.12 Apple Inc.
6.13 Samsung Electronics Co Ltd
6.14 Texas Instruments Inc.
*List Not Exhaustive
7. Investment Analysis of Artificial Intelligence (AI) Chipset Market
8. Opportunities in Global Artificial Intelligence (AI) Chipset Market
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.
The market engineered data is verified and validated by a number of experts, both in-house and external.
REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.