With the availability of enormous amount of data and vast scalability of cloud-based compute power, artificial intelligence has become a massive trend across industries in these past few years. In today’s digital world, information is the key for enterprises to be successful and to maintain sustainable growth. Most industries especially service sector rely deeply on analytics to provide them with useful business insights and enable them to remain competitive in the market. Enterprises have been continuously automating their business processes that were earlier conducted either programmatically or manually. With advancement in AI chips and introduction of application-specific custom chips, enterprises now have the capability to collect real-time analytics and to transform data into actionable insights. There are numerous use cases available in the Artificial Intelligence Chip market of AI being successfully implemented across various verticals.
The major artificial intelligence applications for which AI chips are being used include Machine Learning (ML), Natural Language Processing (NLP), Expert Systems, Automated Speech Recognition, AI Planning, and Computer Vision.
Artificial intelligence and its applications such as machine learning and deep learning have been growing tremendously over the last few years. AI is being utilized extensively in numerous areas ranging from cloud computing applications to digital assistants and self-driving/autonomous vehicles. With ever increasing use cases of AI and the evolving market landscape, the advancements in present chips have become a necessity. AI is majorly used in data center training market where NVIDIA is a market leader. However, the demand for application-specific custom AI chips and inference on edge and data center are the fast-growing segments in AI chip market, and many new startups are coming up to tap this market
Based on segment, the artificial intelligence chip market is bifurcated into Data center/Cloud and edge applications. The Data Center accounted for the largest share in the global market share in 2018. Presently, the major application of artificial chips is in data center/cloud applications. AI chips in data centers are used for both training and inference purposes. Training is a process in which AI algorithms analyze the data, learn and then use that information to respond to real-world problems. Huge amount of data is analyzed by AI algorithms during the training process. In order to help developers in shortening their AI technology development processes, chip manufacturers should not only focus on increasing processor performance but to provide an entire ecosystem that includes hardware, framework and other supportive tools
Based on type, the artificial intelligence chip market is bifurcated into CPU, ASIC, GPU, FPGA and others. The GPU type segment accounted for the largest share in the global market share in 2018. Presently in artificial intelligence applications, Graphics Processing Units or GPUs are the most widely used hardware. High parallelism and memory bandwidth of GPUs make them the most viable option for machine and deep learning applications especially in training. GPUs were initially used to accelerate large number of multiply and add calculations executed in graphics rendering. With increase in demand of high performance graphics, the demand of powerful GPUs also grew.
The market players focus on new product innovations and developments by integrating advanced technologies and features in their products to compete with the competitors.
The regional trends and factors influencing the Artificial Intelligence Chip Market throughout the forecast period have been thoroughly explained by the analysts at Insight Partners. This section also discusses Artificial Intelligence Chip Market segments and geography across North America, Europe, Asia Pacific, Middle East and Africa, and South and Central America.
| Report Attribute | Details |
|---|---|
| Market size in 2018 | US$ 5.66 Billion |
| Market Size by 2027 | US$ 83.25 Billion |
| Global CAGR (2018 - 2027) | 35.0% |
| Historical Data | 2016-2017 |
| Forecast period | 2019-2027 |
| Segments Covered |
By Segment
|
| Regions and Countries Covered | North America
|
| Market leaders and key company profiles |
The Artificial Intelligence Chip Market market is growing rapidly, driven by increasing end-user demand due to factors such as evolving consumer preferences, technological advancements, and greater awareness of the product's benefits. As demand rises, businesses are expanding their offerings, innovating to meet consumer needs, and capitalizing on emerging trends, which further fuels market growth.
Market players density refers to the distribution of firms or companies operating within a particular market or industry. It indicates how many competitors (market players) are present in a given market space relative to its size or total market value.
Major Companies operating in the Artificial Intelligence Chip Market are:
Disclaimer: The companies listed above are not ranked in any particular order.
The List of Companies - Artificial Intelligence Chip Market