Market Size (2017)
2017
$3.64B
Vertical: SEMIBase Year: 20179 Sections
Market Size (2017)
2017
$3.64B
Projected (2023)
2023
$16.66B
CAGR (2017–2023)
28.8%
28.8%Key Players
104+
This report covers AI Chipset Market with forecasts from 2017 to 2023. 104 key companies are profiled.
The AI Chipset Market market is projected to grow at a CAGR of 28.8% from 2017 to 2023.
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View Subscription PlansAI Chipset Market
Historical performance and future projections (2020–2030, USD Billion)
Market Size (USD Mn)
Artificial intelligence (AI) chipsets are silicon-based chips powered with the AI technologies, such as machine learning, deep learning, natural language processing, and neural network processing. These chipsets are designed such that they consume low power and offer high computing capabilities to smart devices, such as smartphones, laptops, and smart wearables. These chipsets increase the operational performance of the device with advanced augment reality (AR), virtual reality (VR), and analytical functions and enhance the user experience.
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View Subscription PlansThis report applies a rigorous multi-stage research process combining primary interviews, secondary data sources, and bottom-up market modelling to ensure accuracy and completeness across all segments and geographies.
Base Year
2017
Historical Period
2017 – 2017
Forecast Period
2017 – 2023
Primary Interviews
150+
Historical data (2017–2017) and forecast period (2017–2023)
Our research process spans primary interviews with industry stakeholders combined with comprehensive secondary data analysis, validated through triangulation across multiple independent sources.
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View Subscription PlansMarket estimates by geography (2023)
InsightNorth America leads with $6.83B by 2023, while Asia Pacific is projected to grow fastest at a 30.8% CAGR.
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View Subscription Plans| REGION | 2017 | 2017 | 2023 | CAGR | SHARE |
|---|---|---|---|---|---|
| Asia Pacific | $1.18B | $2.24B | $5.91B | 30.8% | 35% |
| Rest of the World | $117.10M | $189.60M | $427.40M | 24.1% | 3% |
| Europe | $889.10M | $1.49B | $3.48B | 25.6% | 21% |
| North America | $1.46B | $2.68B | $6.83B | 29.4% | 41% |
| Total | $3.64B | $6.60B | $16.66B | 28.8% | 100% |
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View Subscription PlansTotal Market Size
$16.66B
| APPLICATION | REVENUE ($B) | GROWTH RATE | MARKET PENETRATION |
|---|---|---|---|
| Hardware | $13.87B | 28.8% | 89% |
| Software | $2.79B | 28.8% | 89% |
* Revenue projections based on 2025 estimates. Growth rates represent CAGR 2024–2030. Market penetration indicates current adoption rate within addressable market segments.
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Analytical insights on AI Chipset Market covering market dynamics, competitive landscape, and strategic outlook.
The AI Chipset Market market is projected to reach $16.66B by 2023, growing at 28.8% CAGR. The Hardware segment holds the largest share.
AI is making its way into nearly every application including surgery, medical diagnoses, smart homes and gadgets, criminal identification, water quality monitoring, self-driving cars, drug discovery, and image processing. AI applications require compatible hardware and software components with high computational power and low energy consumption. AI chipsets such as GPUs, FPGAs, and ASICs provide high levels of computing power to enable the operation of applications on various devices. With the advent and demand for AI applications, AI chipset manufacturers are introducing new AI processors. On 9 August 2016, Intel Corporation acquired Nervana Systems, an artificial intelligence software provider, to enhance its deep learning portfolio of cloud services. Post this acquisition, on 6 December 2017, Intel Corporation announced the launch of the Intel Nervana neural network processor (NNP) architecture allowing developers to easily test and deploy AI models. With NNP, designers are able to quickly iterate various neural networks with large datasets. It also allows software the flexibility to manage data locally, reducing data movement to and from external memory, which further saves power.
The training of deep learning networks involves the movement of data which is simplified by the Nervana Engine chip that utilizes new memory technology—high bandwidth memory (HBM) offering 32 GB of on-chip storage and access speeds of up to 8 TB/s. Additionally, the Nervana NNP does not come with a hierarchy of cache memories and the on-chip memory management is performed by the software, enabling, the faster training time for deep learning models. The Intel Nervana NNP facilitates bi-directional data transfer and large network computations on a single chip with less power consumption per computation.
AI chipsets are also used in smartphones to provide capabilities such as image stabilization and performance improvement. For instance, Apple Inc. launched augmented reality and facial recognition features in its iPhone X series using the A11 Bionic chip. Such applications across various industries are driving the growth of the global artificial intelligence (AI) chipset market.
Edge computing is used to make critical decisions closer to the source data while AI is used to create intelligent machines. Both have great potential in the development of IoT systems and various other applications. The integration of AI with edge computing can find application in autonomous vehicles and predictive maintenance to improve the output of IoT systems. Microsoft Corporation and Spektacom are developing a system to gain insight into the batting styles of different batsmen during a cricket match. This product uses IoT edge devices and AI-powered analytics to offer the required data. Such integration of AI with edge computing provides lucrative opportunities for the players in the global artificial intelligence (AI) chipset market.
The demand for AI is growing day-by-day due to its advantages such as improved efficiency and cost reduction. AI applications require AI chipsets to optimal functioning. However, the designing and manufacturing processes for AI chipsets require a high level of skilled expertise as they are highly complex. There is a distinct lack of technical experts for both software and hardware development in the field. According to Tencent, there are just around 300,000 AI practitioners and researchers globally while the demand for AI skilled human resources is in the millions. This hampers the entry of new players, thereby, restraining the growth of the global artificial intelligence (AI) chipset market.
The other issues faced by the manufacturers of AI chipsets are product compatibility and acceptability. Start-ups in the market are especially affected by the lack of standards for the production and distribution of AI chipsets. Customer adoption also suffers as they prefer products that adhere to globally accepted standards. This lack of standards is expected to hamper the growth of the market to an extent.
Recent advancements in AI systems such as face and speech recognition utilize neural networks that consist of extremely dense and interconnected meshes of processors for the high volumes of information that the system learns from the training data sets. These neural networks are large, complex, and require high computational power. AI chipsets provide the necessary computational power and hardware complexity for these neural networks which are energy-intensive. There have been increasing investments by various market players such as Google Inc., Microsoft Corporation, and IBM Corporation in the development of processor architecture to build cost-effective and power-efficient AI processors. These processors are still in the development phase due to which the high-power consumption of AI chipsets acts a challenge.
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Profiles of 104 companies operating in the AI Chipset Market market, including revenue, employee count, and market positioning where available.
Showing 104 of 104 companies
Fujitsu Ltd
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NVIDIA Corporation
Company Headquarters: US Founded: 1993 Workforce: ~13,277 Company Working: NVIDIA Corporation (NVIDIA) is one of the leading visual computing companies. The company focuses on PC graphics. It has invented graphics processing units (GPU) that solve the most complex problems in computer science. It operates in two business segments, namely the GPU and Tegra Processor. The GPU segment consists of products such as GeForce for mainstream PCs and PC gaming; GeForce Now for cloud-based game-streaming services; Quadro for professional designing such as video editing and computer-aided designs (CAD); Tesla for deep learning and accelerated computing; GRID for cloud and data centers; and DGX for AI scientists, developers, and researchers. The Tegra Processor segment consists of products such as Tegra processors, DRIVE, SHIELD, and Jetson TX2. The company serves its products to the gaming, professional visualization, data center, and automotive markets. The company operates across North America, Asia-Pacific, Europe, and the rest of the world.
IBM Corporation
Company Headquarters: US Founded: 1911 Workforce: ~2,82,100 Company Working: IBM Corporation is a global provider of integrated business solutions and services. Its Cloud & Cognitive Software division provides software for vertical and domain-specific solutions in a variety of application areas, as well as customer information control system and storage, analytics, and integration software solutions to support client mission on-premises workloads in the banking, airline, and retail industries. It also provides middleware and data platform software, such as Red Hat, which allows clients to run hybrid multi-cloud environments; cloud paks, WebSphere distributed, and analytics platform software, such as DB2 distributed, information integration, and enterprise content management; and IoT, blockchain, and AI/Watson platforms. Business consulting services, packaged software system integration, application management, maintenance, and support services, and finance, procurement, talent and engagement, and industry-specific business process outsourcing services are all available through the company's global business services segment. IT infrastructure and platform services are provided by the company's global technology services business, as well as project, managed, outsourcing, and cloud-delivered services for enterprise IT infrastructure environments and IT infrastructure support services. The cognitive solutions segment offers a cognitive computing platform called Watson, which interacts in natural language, processes big data, and learns from interactions with people and computers. This segment also provides data and analytics solutions, data management platforms, cloud data services, enterprise social software, and transaction processing software that run mission-critical systems in the banking, airline, and retail industries. IBM provides speech recognition products using computer hardware and software-based techniques to identify and process the human voice and convert the spoken words into computer text. Furthermore, the company is also investing heavily in designing and developing automatic speech recognition technology-based products, which are capable of authenticating users via their voice and performing an action based on the instructions defined by the human.
Intel Corporation
Master Lock Company LLC.
Company Headquarters: United States Founded: 1921 Workforce: ~7,500 Company Working: Master Lock Company LLC. is a global leader in the development and manufacturing of security products, including padlocks, combination locks, and other security solutions. Master Lock's product line includes a wide range of padlocks, safety lockout devices, digital locks, and other security solutions for residential, commercial, and industrial use. The company has a strong reputation for quality and durability, and its products are widely used in schools, hospitals, airports, and other high-security environments. In addition to its core product offerings, Master Lock provides services, including key cutting, lock repair, and customized security solutions for specific customer needs. The company is committed to innovation and strongly focuses on research and development to stay ahead of evolving security threats. Master Lock is owned by Fortune Brands innovations, a leading home and security products company that also owns other well-known brands such as Moen, Therma-Tru Doors, and Fiberon Decking.
Dormakaba
Company Headquarters: Switzerland Founded: 1862 Workforce: ~15,495 Company Working: dormakaba is a leading global provider of security and access solutions, offering various industries a diverse range of products and services. Its product portfolio includes door hardware, electronic access and data, entrance systems, safe locks, lodging systems, interior glass systems, movable walls, and more. With operations in over 50 countries, dormakaba has a strong presence in Europe, the Americas, and the Asia-Pacific, serving customers across multiple industries, including hospitality, commercial, institutional, and residential. Dormakaba's primary objective is to deliver innovative, reliable, and effective security and access solutions that improve its customers' safety, security, and convenience. The company accomplishes this by investing in research and development and utilizing advanced technologies to create products that meet the changing requirements of its customers.
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