A new market research report on theGlobal Artificial Intelligence Chip markethas introduced byKD Market Insights. The report is dedicated to in-depth industry analysis of the globalArtificial Intelligence Chipmarket. TheGlobal Artificial Intelligence Chipanalysis is broken down on different segmentation levelsincluding MarketBy Chip Type,By Application,By Technology, By Processing Type, By Industry Vertical.
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.
Get Report Sample Copy @https://www.kdmarketinsights.com/sample/3434The 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 globalartificial intelligence chip marketis 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. Porters five forces analysis illustrates the potency of the buyers and suppliers.
Artificial Intelligence Chip Key Market Segments:
By Chip Type GPU ASIC FPGA CPU Others
By Application 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)
By Technology System-on-Chip (SoC) System-in-Package (SIP) Multi-chip Module Others
By Processing Type Edge Cloud
By Industry Vertical Media & Advertising BFSI IT & Telecom Retail Healthcare Automotive & Transportation Others
By RegionNorth America U.S. Canada MexicoEurope UK Germany France Russia Rest of EuropeAsia-Pacific China Japan India Australia Rest of Asia-PacificLAMEA Latin America Middle East Africa
Key Market Players Profiled AMD (Advanced Micro Devices) Google, Inc. Intel Corporation NVIDIA Baidu Graphcore Qualcomm Adapteva UC-Davis Mythic Others
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Table of Content
CHAPTER 1: INTRODUCTION1.1. REPORT DESCRIPTION1.2. KEY BENEFITS FOR STAKEHOLDERS1.3. KEY MARKET SEGMENTS1.4. RESEARCH METHODOLOGY1.4.1. Primary research1.4.2. Secondary research1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY2.1. INDUSTRY ROADMAP2.2. CXO PERSPECTIVE
CHAPTER 3: MARKET OVERVIEW3.1. MARKET DEFINITION AND SCOPE3.2. KEY FINDINGS3.2.1. Top impacting factors3.2.2. Top investment pockets3.2.3. Top winning strategies3.3. PORTERS FIVE FORCES ANALYSIS3.4. MARKET SHARE ANALYSIS, 2017 (%)3.5. MARKET DYNAMICS3.5.1. Drivers3.5.1.1. Increase in demand for smart homes & smart cities3.5.1.2. Rise in investments in AI startups3.5.1.3. Emergence of quantum computing3.5.2. Restraint3.5.2.1. Dearth of skilled workforce3.5.3. Opportunities3.5.3.1. Increased adoption of AI chips in the developing regions3.5.3.2. Development of smarter robots
CHAPTER 4: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE4.1. OVERVIEW4.2. GPU4.2.1. Key market trends, growth factors and opportunities4.2.2. Market size and forecast, by region4.2.3. Market analysis by country4.3. ASIC4.3.1. Key market trends, growth factors, and opportunities4.3.2. Market size and forecast, by region4.3.3. Market analysis by country4.4. FPGA4.4.1. Key market trends, growth factors, and opportunities4.4.2. Market size and forecast, by region4.4.3. Market analysis by country4.5. CPU4.5.1. Key market trends, growth factors, and opportunities4.5.2. Market size and forecast, by region4.5.3. Market analysis by country4.6. OTHERS (NPU & HYBRID CHIP)4.6.1. Key market trends, growth factors, and opportunities4.6.2. Market size and forecast, by region4.6.3. Market analysis by country
CHAPTER 5: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION5.1. OVERVIEW5.2. MACHINE LEARNING5.2.1. Key market trends, growth factors and opportunities5.2.2. Market size and forecast, by region5.2.3. Deep learning (Image recognition, Computer vision)5.2.4. Predictive analysis5.2.5. Others (Decision tree learning, Inductive logic programming, Reinforcement learning, and others)5.2.6. Market analysis by country5.3. NATURAL LANGUAGE PROCESSING (NLP)5.3.1. Key market trends, growth factors, and opportunities5.3.2. Market size and forecast, by region5.3.3. Translation5.3.4. Classification & clustering5.3.5. Information extraction5.3.6. Market analysis by country5.4. ROBOTIC PROCESS AUTOMATION5.4.1. Key market trends, growth factors, and opportunities5.4.2. Market size and forecast, by region5.4.3. Market analysis by country5.5. SPEECH RECOGNITION5.5.1. Key market trends, growth factors, and opportunities5.5.2. Market size and forecast, by region5.5.3. Speech to text5.5.4. Text to speech5.5.5. Market analysis by country5.6. OTHERS5.6.1. Key market trends, growth factors, and opportunities5.6.2. Market size and forecast, by region5.6.3. Market analysis by country
CHAPTER 6: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY6.1. OVERVIEW6.2. SYSTEM-ON-CHIP (SOC)6.2.1. Key market trends, growth factors and opportunities6.2.2. Market size and forecast, by region6.2.3. Market analysis by country6.3. SYSTEM-IN-PACKAGE (SIP)6.3.1. Key market trends, growth factors, and opportunities6.3.2. Market size and forecast, by region6.3.3. Market analysis by country6.4. MULTI-CHIP MODULE6.4.1. Key market trends, growth factors, and opportunities6.4.2. Market size and forecast, by region6.4.3. Market analysis by country6.5. OTHERS (PACKAGE IN PACKAGE, TSV)6.5.1. Key market trends, growth factors, and opportunities6.5.2. Market size and forecast, by region6.5.3. Market analysis by country
CHAPTER 7: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY PROCESSING TYPE7.1. OVERVIEW7.2. EDGE7.2.1. Key market trends, growth factors and opportunities7.2.2. Market size and forecast, by region7.2.3. Market analysis by country7.3. CLOUD7.3.1. Key market trends, growth factors, and opportunities7.3.2. Market size and forecast, by region7.3.3. Market analysis by country
CHAPTER 8: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY INDUSTRY VERTICAL8.1. OVERVIEW8.2. MEDIA & ADVERTISING8.2.1. Key market trends, growth factors and opportunities8.2.2. Market size and forecast, by region8.2.3. Market analysis by country8.2.4. Market size and forecast, by processing type8.3. BFSI8.3.1. Key market trends, growth factors and opportunities8.3.2. Market size and forecast, by region8.3.3. Market analysis by country8.3.4. Market size and forecast, by processing type8.4. IT & TELECOM8.4.1. Key market trends, growth factors and opportunities8.4.2. Market size and forecast, by region8.4.3. Market analysis by country8.4.4. Market size and forecast, by processing type8.5. RETAIL8.5.1. Key market trends, growth factors and opportunities8.5.2. Market size and forecast, by region8.5.3. Market analysis by country8.5.4. Market size and forecast, by processing type8.6. HEALTHCARE8.6.1. Key market trends, growth factors and opportunities8.6.2. Market size and forecast, by region8.6.3. Market analysis by country8.6.4. Market size and forecast, by processing type8.7. AUTOMOTIVE8.7.1. Key market trends, growth factors and opportunities8.7.2. Market size and forecast, by region8.7.3. Market analysis by country8.7.4. Market size and forecast, by processing type8.8. OTHERS8.8.1. Key market trends, growth factors and opportunities8.8.2. Market size and forecast, by region8.8.3. Market analysis by country8.8.4. Market size and forecast, by processing type
CHAPTER 9: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY REGION9.1. OVERVIEW9.2. NORTH AMERICA9.2.1. Key market trends, growth factors, and opportunities9.2.2. Market size and forecast, by chip type9.2.3. Market size and forecast, by application9.2.4. Market size and forecast, by technology9.2.5. Market size and forecast, by processing type9.2.6. Market size and forecast, by industry vertical9.2.7. Market analysis by country9.2.7.1. U.S.9.2.7.1.1. Market size and forecast, by chip type9.2.7.1.2. Market size and forecast, by application9.2.7.1.3. Market size and forecast, by technology9.2.7.1.4. Market size and forecast, by processing type9.2.7.1.5. Market size and forecast, by industry vertical9.2.7.2. Canada9.2.7.2.1. Market size and forecast, by chip type9.2.7.2.2. Market size and forecast, by application9.2.7.2.3. Market size and forecast, by technology9.2.7.2.4. Market size and forecast, by processing type9.2.7.2.5. Market size and forecast, by industry vertical9.2.7.3. Mexico9.2.7.3.1. Market size and forecast, by chip type9.2.7.3.2. Market size and forecast, by application9.2.7.3.3. Market size and forecast, by technology9.2.7.3.4. Market size and forecast, by processing type9.2.7.3.5. Market size and forecast, by industry vertical
9.3. EUROPE9.3.1. Key market trends, growth factors, and opportunities9.3.2. Market size and forecast, by chip type9.3.3. Market size and forecast, by application9.3.4. Market size and forecast, by technology9.3.5. Market size and forecast, by processing type9.3.6. Market size and forecast, by industry vertical9.3.7. Market analysis by country9.3.7.1. U.K.9.3.7.1.1. Market size and forecast, by chip type9.3.7.1.2. Market size and forecast, by application9.3.7.1.3. Market size and forecast, by technology9.3.7.1.4. Market size and forecast, by processing type9.3.7.1.5. Market size and forecast, by industry vertical9.3.7.2. Germany9.3.7.2.1. Market size and forecast, by chip type9.3.7.2.2. Market size and forecast, by application9.3.7.2.3. Market size and forecast, by technology9.3.7.2.4. Market size and forecast, by processing type9.3.7.2.5. Market size and forecast, by industry vertical9.3.7.3. France9.3.7.3.1. Market size and forecast, by chip type9.3.7.3.2. Market size and forecast, by application9.3.7.3.3. Market size and forecast, by technology9.3.7.3.4. Market size and forecast, by processing type9.3.7.3.5. Market size and forecast, by industry vertical9.3.7.4. Russia9.3.7.4.1. Market size and forecast, by chip type9.3.7.4.2. Market size and forecast, by application9.3.7.4.3. Market size and forecast, by technology9.3.7.4.4. Market size and forecast, by processing type9.3.7.4.5. Market size and forecast, by industry vertical
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