Global Machine Learning Chips Market Overview:
Machine learning chip is the hardware accelerator or application-based computer system designed to accelerate machine learning applications. Machine learning applications involve algorithms for robotics, the internet of things and other data-intensive or sensor-driven tasks. These chip provides much more data security, latency and consumes much less power. They are designed to do certain AI problems faster at lower power than traditional processors. In the market, more than 100 companies are working on building next-generation chips and hardware architecture that would match the capabilities of algorithms. These machine-learning chips are capable of enabling deep learning applications on smartphones and other edge computing devices. The companies are using machine learning technology to improve business decisions, increase productivity, and detect disease, forecast weather, and others. The applications of machine learning involve virtual personal assistants, predictions while commuting, video surveillance, social media services, email spam and malware filtering, online fraud detection, and others. Some of the key players profiled in the study are Wave Computing Inc. (United States), Graphcore (United Kingdom), IBM (United States), Alphabet (United States), Qualcomm Technologies Inc. (United States), Intel Corporation (United States), NVIDIA Corporation (United States), Taiwan Semiconductor Manufacturing Company Limited (China), Xilinx, Inc. (United States) and Cerebras Systems (United States).
On the basis of geography, the market of Machine Learning Chips has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Industry Vertical, the sub-segment i.e. Media & Advertising will boost the Machine Learning Chips market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Technology, the sub-segment i.e. System-on-chip (SoC) will boost the Machine Learning Chips market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Processing, the sub-segment i.e. Edge will boost the Machine Learning Chips market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
- Rising Demand for Machine Learning Chips Owing to the Development of Autonomous Robots and Vehicles that Control themselves ithout Human Intervention also Propelling the Market Growth
- Rising Demand from Mobile Phones
- Huge Acceptance of Smart Devices
- Lack of Skilled Workforce in the Market
- Rising Requirement of Massive Data Sets
- Technological Advancement in Micro Electronic and Wireless Chips
- High Susceptibility to Errors and Absence of Standards and Protocols
The global machine learning chips market is strongly competitive and having a few key players. In concerns of the market share, some of the leading players are highly dominating the global machine learning chips market. The market players operating in this market are focusing on the growth of strategic initiatives to enhance their market share and improve their profitability.
Target Audience:Venture Capitalists and Private Equity Firms, New Entrants/Investors, Analysts and Strategic Business Planners, Machine Learning Chips Manufacturers, Suppliers and Distributors, Raw Material Suppliers, Government Regulatory and Research Organizations and End-Use Industries
Major Objectives Focused through this Study To define, describe, and forecast the Global Machine Learning Chips market on the basis of product [Graphic Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), Central Processing Unit (CPU) and Others] , application , key regions and end user
To provide in-depth information regarding major influencing factors affecting the growth of the market (trends, drivers, restraints, opportunities, and industry-centric and regional challenges)
To strategically analyse the micro-markets and important business segments with respect to individual growth drivers , market trends and potential, and historical contributions to the total market
Identifying the opportunities in the market for key stakeholders and detailing the competitive landscape for market leaders
To provide market size for various segments of the Machine Learning Chips market with respect to major geographies, namely, South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico)
To strategically profile the key players and analyzing their market shares and core competencies in the Machine Learning Chips industry
To track key developments such as product launches, expansions, agreements, partnerships, mergers & acquisitions, and R&D activities that are key factors in shaping the market
Available Customization: Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**. Additionally, the Players which are also part of the research are .
** Confirmation on availability of data would be informed prior purchase
While framing the research framework, major and emerging players operating in the Machine Learning Chips market in various regions have been profiled, and their offerings, geographic footprints, and distribution/sales channels have been analysed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Dow Jones (Factiva), along with primary respondents. The complete methodology includes the study of the annual and financial reports of the key market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) related to the market.