Artificial Intelligence Chip Market Analysis, Scope, Future Trends and Opportunities During 2018-2025
KD Market Insights has published a new report on Artificial Intelligence Chip Market analysis and forecast 2018-2025. The report comprises of Artificial Intelligence Chip Market size, Y-o-Y growth analysis, and market dynamics, including growth drivers, restraining factors, opportunities, and trends which are spearheading current nature and future status of the market.
Artificial intelligence (AI) has been the most progressive technology since its introduction in the 1950s. It is associated with human intelligence with characteristics such as language understanding, reasoning, learning, problem-solving, and others. Manufacturers in the market witness enormous underlying intellectual challenges in the development and revision of such technology. It is positioned as the core of the next-generation software technologies in the market.
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The factors that drive the growth of the global artificial intelligence chip market include increase in demand for smart homes, development of smart cities, and emergence of quantum computing. However, lack of skilled workforce restrains the 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 global artificial intelligence chip market.
The global artificial intelligence chip market is segmented based on chip type, application, industry vertical, technology, and geography. By chip type, the market is categorized into GPU, ASIC, FPGA, CPU, and others. Based on application, it is divided into machine learning, natural language processing (NLP), robotic process automation, speech recognition, and others. On the basis of technology, the market is segmented into system-on-chip, system-in-package, multi-chip module, and others. Based on processing type, it is bifurcated into edge and cloud. The industry verticals considered in the study include media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others.
Geographically, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The key players profiled in the report include AMD (Advanced Micro Devices), Google, Inc., Intel Corporation, NVIDIA, Baidu, Graphcore, Qualcomm, Adapteva, UC-Davis, Mythic, and others.
Key Benefits for Artificial Intelligence Chip Market:
– 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 2017 to 2025 to highlight the financial competency of the market.
– Porter’s five forces analysis illustrates the potency of the buyers and suppliers.
Artificial Intelligence Chip Key Market Segments:
By Chip Type
– Machine Learning
– – – Deep Learning (Image Recognition, Computer Vision)
– – – Predictive Analysis
– – – Others
– Natural Language Processing (NLP)
– – – Translation
– – – Classification & Clustering
– – – Information Extraction
– Robotic Process Automation
– Speech Recognition
– – – Speech to Text
– – – Text to Speech
– Others (Expert Systems, Planning, and Scheduling)
– System-on-Chip (SoC)
– System-in-Package (SIP)
– Multi-chip Module
By Processing Type
By Industry Vertical
– Media & Advertising
– IT & Telecom
– Automotive & Transportation
– Rest of Europe
– Rest of Asia-Pacific
– Latin America
– Middle East
Key Market Players Profiled
– AMD (Advanced Micro Devices)
– Google, Inc.
– Intel Corporation
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Table of Content
CHAPTER 1: INTRODUCTION
1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS FOR STAKEHOLDERS
1.3. KEY MARKET SEGMENTS
1.4. RESEARCH METHODOLOGY
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
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
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.2.3. Top winning strategies
3.3. PORTERS FIVE FORCES ANALYSIS
3.4. MARKET SHARE ANALYSIS, 2017 (%)
3.5. MARKET DYNAMICS
126.96.36.199. Increase in demand for smart homes & smart cities
188.8.131.52. Rise in investments in AI startups
184.108.40.206. Emergence of quantum computing
220.127.116.11. Dearth of skilled workforce
18.104.22.168. Increased adoption of AI chips in the developing regions
22.214.171.124. Development of smarter robots
CHAPTER 4: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market analysis by country
4.3.1. Key market trends, growth factors, and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market analysis by country
4.4.1. Key market trends, growth factors, and opportunities
4.4.2. Market size and forecast, by region
4.4.3. Market analysis by country
4.5.1. Key market trends, growth factors, and opportunities
4.5.2. Market size and forecast, by region
4.5.3. Market analysis by country
4.6. OTHERS (NPU & HYBRID CHIP)
4.6.1. Key market trends, growth factors, and opportunities
4.6.2. Market size and forecast, by region
4.6.3. Market analysis by country
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