Market Overview:
The global AI Chipsets in IoT market is expected to grow at a CAGR of xx% during the forecast period from 2018 to 2030. The growth of the market can be attributed to the increasing demand for AI-enabled devices and rising adoption of IoT across various industries. The global AI Chipsets in IoT market is segmented on the basis of type, application, and region. On the basis of type, the market is segmented into GPU, FPGA, ASIC, and other types. The GPU segment is expected to hold a major share in terms of revenue in 2018 owing to its growing demand for accelerating deep learning applications. On the basis of application, robotics holds a major share followed by consumer electronics and security systems segments respectively.
Product Definition:
AI Chipsets are used to provide intelligence to devices in the Internet of Things. They allow devices to interpret and react to their environment, making them more useful and efficient.
GPU:
The global GPU market size was valued at USD 6.98 billion in 2017 and is expected to register a CAGR of XX% from 2018 to 2025. GPUs are extensively used in deep learning applications owing to their high computational power, which enables faster processing of algorithms for artificial intelligence (AI) purposes, thereby driving the growth of the Internet-of-Things (IoT) market over the forecast period.
FPGA:
An FPGA (Field Programmable Gate Array) is a type of semiconductor that can be programmed to perform specific tasks. In the field of artificial intelligence, they are used for training and inference processes in neural networks. They offer high performance compared to traditional chips at a low power consumption level; making them ideal for embedded systems in IoT devices.
Application Insights:
The robotics segment dominated the global market in 2017. The growth can be attributed to increasing adoption of AI chipsets in industrial robots and mobile platforms. Moreover, the growing demand for self-driving cars is expected to propel the growth over the forecast period. The automotive application is projected to witness significant growth during the forecast period owing to rising penetration of MICA devices that offer higher processing power and improved energy efficiency over traditional processors used in automobiles.
Regional Analysis:
North America dominated the global market in 2017. The growth can be attributed to the presence of prominent players such as NVIDIA Corporation; Google Inc.; and Qualcomm Technologies, Inc. Moreover, increasing investments in R&D by these companies for developing next-generation AI chipsets is expected to drive regional growth over the forecast period.
Asia Pacific region is anticipated to witness significant growth over the forecast period owing to rising adoption of IoT technologies across various industries including automotive, manufacturing & automation, oil & gas and others. Increasing demand for smart devices with enhanced intelligence from consumers has led manufacturers operating in this industry adopt AI technology for processing data at a faster rate and deliver better results than traditional processors do using similar hardware architecture.
Growth Factors:
- Increasing demand for AI-enabled devices: The increasing demand for AI-enabled devices is one of the primary growth drivers for the AI chipset market in IoT. With the advent of new technologies such as 5G and edge computing, there is a growing demand for advanced chipsets that can support these technologies. This is expected to drive the growth of the AI chipset market in IoT during the forecast period.
- Proliferation of smart cities: The proliferation of smart cities is another major factor that is expected to drive the growth of the AI chipset market in IoT during 2019–2025. Smart cities are equipped with various sensors and connected devices that collect data from different sources, which can be used to improve city operations and citizen services. In order to manage this large volume of data, advanced chipsets are required that can handle complex processing tasks quickly and efficiently. This is expected to create a high demand for AI chipsets in smart cities during 2019–2025.
Scope Of The Report
Report Attributes
Report Details
Report Title
AI Chipsets in IoT Market Research Report
By Type
GPU, FPGA, ASIC, Other
By Application
Robotics, Consumer Electronics, Security systems, Automobile, Others
By Companies
NVidia Corporation, IBM Corporation, Intel Corporation, Samsung Electronics Co Ltd., Microsoft Corporation, Baidu Inc., Qualcomm Incorporated, Huawei Technologies Co. Ltd., Fujitsu Ltd., Softbank Group Corp. (ARM Limited), Apple Inc., ARM
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
147
Number of Tables & Figures
103
Customization Available
Yes, the report can be customized as per your need.
Global AI Chipsets in IoT Market Report Segments:
The global AI Chipsets in IoT market is segmented on the basis of:
Types
GPU, FPGA, ASIC, Other
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Robotics, Consumer Electronics, Security systems, Automobile, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- NVidia Corporation
- IBM Corporation
- Intel Corporation
- Samsung Electronics Co Ltd.
- Microsoft Corporation
- Baidu Inc.
- Qualcomm Incorporated
- Huawei Technologies Co. Ltd.
- Fujitsu Ltd.
- Softbank Group Corp. (ARM Limited)
- Apple Inc.
- ARM
Highlights of The AI Chipsets in IoT Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- GPU
- FPGA
- ASIC
- Other
- By Application:
- Robotics
- Consumer Electronics
- Security systems
- Automobile
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the AI Chipsets in IoT Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
AI Chipsets are a type of chipset that is designed to handle AI workloads. They can be found in devices such as smart TVs, set-top boxes, and other consumer electronics.
Some of the major players in the ai chipsets in iot market are NVidia Corporation, IBM Corporation, Intel Corporation, Samsung Electronics Co Ltd., Microsoft Corporation, Baidu Inc., Qualcomm Incorporated, Huawei Technologies Co. Ltd., Fujitsu Ltd., Softbank Group Corp. (ARM Limited), Apple Inc., ARM.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI Chipsets in IoT Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 AI Chipsets in IoT Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 AI Chipsets in IoT Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the AI Chipsets in IoT Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global AI Chipsets in IoT Market Size & Forecast, 2018-2028
4.5.1 AI Chipsets in IoT Market Size and Y-o-Y Growth
4.5.2 AI Chipsets in IoT Market Absolute $ Opportunity
Chapter 5 Global AI Chipsets in IoT Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 AI Chipsets in IoT Market Size Forecast by Type
5.2.1 GPU
5.2.2 FPGA
5.2.3 ASIC
5.2.4 Other
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global AI Chipsets in IoT Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 AI Chipsets in IoT Market Size Forecast by Applications
6.2.1 Robotics
6.2.2 Consumer Electronics
6.2.3 Security systems
6.2.4 Automobile
6.2.5 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI Chipsets in IoT Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 AI Chipsets in IoT Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America AI Chipsets in IoT Analysis and Forecast
9.1 Introduction
9.2 North America AI Chipsets in IoT Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America AI Chipsets in IoT Market Size Forecast by Type
9.6.1 GPU
9.6.2 FPGA
9.6.3 ASIC
9.6.4 Other
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America AI Chipsets in IoT Market Size Forecast by Applications
9.10.1 Robotics
9.10.2 Consumer Electronics
9.10.3 Security systems
9.10.4 Automobile
9.10.5 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe AI Chipsets in IoT Analysis and Forecast
10.1 Introduction
10.2 Europe AI Chipsets in IoT Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe AI Chipsets in IoT Market Size Forecast by Type
10.6.1 GPU
10.6.2 FPGA
10.6.3 ASIC
10.6.4 Other
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe AI Chipsets in IoT Market Size Forecast by Applications
10.10.1 Robotics
10.10.2 Consumer Electronics
10.10.3 Security systems
10.10.4 Automobile
10.10.5 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific AI Chipsets in IoT Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific AI Chipsets in IoT Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific AI Chipsets in IoT Market Size Forecast by Type
11.6.1 GPU
11.6.2 FPGA
11.6.3 ASIC
11.6.4 Other
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific AI Chipsets in IoT Market Size Forecast by Applications
11.10.1 Robotics
11.10.2 Consumer Electronics
11.10.3 Security systems
11.10.4 Automobile
11.10.5 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America AI Chipsets in IoT Analysis and Forecast
12.1 Introduction
12.2 Latin America AI Chipsets in IoT Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America AI Chipsets in IoT Market Size Forecast by Type
12.6.1 GPU
12.6.2 FPGA
12.6.3 ASIC
12.6.4 Other
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America AI Chipsets in IoT Market Size Forecast by Applications
12.10.1 Robotics
12.10.2 Consumer Electronics
12.10.3 Security systems
12.10.4 Automobile
12.10.5 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) AI Chipsets in IoT Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) AI Chipsets in IoT Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) AI Chipsets in IoT Market Size Forecast by Type
13.6.1 GPU
13.6.2 FPGA
13.6.3 ASIC
13.6.4 Other
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) AI Chipsets in IoT Market Size Forecast by Applications
13.10.1 Robotics
13.10.2 Consumer Electronics
13.10.3 Security systems
13.10.4 Automobile
13.10.5 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 AI Chipsets in IoT Market: Competitive Dashboard
14.2 Global AI Chipsets in IoT Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 NVidia Corporation
14.3.2 IBM Corporation
14.3.3 Intel Corporation
14.3.4 Samsung Electronics Co Ltd.
14.3.5 Microsoft Corporation
14.3.6 Baidu Inc.
14.3.7 Qualcomm Incorporated
14.3.8 Huawei Technologies Co. Ltd.
14.3.9 Fujitsu Ltd.
14.3.10 Softbank Group Corp. (ARM Limited)
14.3.11 Apple Inc.
14.3.12 ARM
