Global Deep Learning Market by Hardware (GPU, ASIC, CPU, FPGA) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast To 2028

Industry Insights

In 2016, the global deep learning market was worth USD 272.0 millions. The industry's growth is expected to be aided by its increasing application in the autonomous vehicle and healthcare sectors. Because of its data-driven applications, including voice and image recognition, this technology is rapidly gaining popularity. This technology is a great investment opportunity because it can be used in conjunction with other technologies to address the issues of high data volumes, high computing horsepower, and improved data storage.

Industry growth will be accelerated by the rapid rise in data generated in various end-use industries. The increasing demand for human-machine interaction is opening up new opportunities for solution providers to provide enhanced solutions and capabilities. The industry's growth will be limited by the need for large amounts of data to train neural network.

U.S. Deep Learning Market, Solution, 2014-2025 (USD Million).

This technology is being integrated into product portfolios by many organizations who are making significant investments. In November 2016, SK Telecom announced that it had signed an agreement with Intel Corporation to develop the vehicle-to-everything (V2X) technology and video recognition based on deep learning. In the coming years, the industry will be supported by government initiatives and increased expenditure. China's National Development and Reform Commission funds the establishment of a deep-learning research laboratory.

Solution Insights

Software was the dominant segment in deep learning. However, the software industry is undergoing major transformations. It now offers Software as a Service (SaaS), which uses deep and machine learning. These solutions can not only aggregate and organize data, but also mine it to make predictions and draw conclusions.

However, there are significant advancements in algorithms and hardware that will help to drive the growth of chipsets. To meet customer demand, they have been a major source of hardware and software.

Hardware Insights

In 2016, the Graphics Processing Unit (GPU), dominated the hardware market. Graphics Processing Units (GPU) offer faster performance than other chipsets. Deep learning applications are seeing a rise in demand for GPUs due to the growing need for visual content.

The demand for GPU-enabled chip is expected to rise as a result of the increased R&D activity by the major players in the GPU chipset development. Google, for example, announced plans to launch GPU chips to its cloud machine-learning and compute engine in the early part of 2017. This will allow it to improve the performance of high-performance computing tasks. With the growing prominence of neural networks for deep learning, GPUs are experiencing growth.

FPGAs are just beginning to make inroads in the deep learning space. In 2016, they accounted for a small revenue share, but are expected see significant growth in the future. FPGAs are able to deliver a higher performance per unit of power than GPUs. This is due to their ability to offer a lower power consumption. FPGAs are still in their infancy, but it will offer a great opportunity to key players to develop them as an alternative.

Application Insights

In 2016, the image recognition segment was the most dominant in the industry, capturing over 40% of all revenue. Facebook's facial recognition function is one of the most popular applications of this technology. It can be used to identify patterns in unstructured data, such as images and text.

The industry's growth is expected to be boosted by the widespread adoption and use of image recognition in healthcare and defense sectors over the next eight year. Automotive and financial services industries are preparing for it adoption in order to improve their operations and transform the offerings they offer to increase value for customers and business.

In 2016, data mining accounted for more than 5% of the market. Segment growth is expected to be driven by the need for data segmentation in order to identify patterns and make meaningful predictions. Big Data analytics is being revolutionized by data mining for decision making and inferencing.

End-use Insights

Deep learning was a key component of more than 20% of 2016's market revenue. It is used for remote sensing, object detection and localization, spectrogram analyses, network anomalies detection, and malware detection. The general purpose GPUs are also increasing in popularity, from the aircraft cockpit to soldiers infantry using wearable computing.

Global deep learning market by end-use in 2016, (%)

Aerospace and defense sectors are leveraging technology to tackle embedded defense tasks by processing large data sets. These solutions can be used to image process and data mining to predict and evaluate future actions. The U.S. Department of Homeland Security used this technology to assess future events in its Synthetic Environmental for Analysis and Simulations project (SEAS).

Due to the shift from car ownership to individual-owned vehicles that can share the driving experience, the automotive industry made up a large portion of the industry's revenue share. Automakers are beginning to see the benefits of autonomous cars and have begun to incorporate this technology into their business. Audi uses deep learning algorithms to recognize traffic signals based on their characters and shapes using its camera-based technology.

Regional Insights

North America was the dominant market for deep learning in 2016, with a revenue share exceeding 45%. This is due to increased investments in neural networks and artificial intelligence. Over the forecast period, new growth opportunities will be created by the high adoption of pattern recognition and image recognition in the region. The region is also one of the first to adopt advanced technologies, allowing organizations to adopt deep-learning capabilities at a quicker pace.

In addition, the industry's growth will be aided by increased government support. The industry is gaining momentum through the establishment of subcommittees for artificial intelligence and machine-learning within the federal government.

Europe has played a significant role in industry growth. Numerous new measures were taken to support the artificial Intelligence sector in the region, to increase growth and create a digital economy. This has created significant growth opportunities for deep learning. The UK provides the foundation for technology that will allow it to expand further into the areas of smart devices and autonomous vehicles.

Deep Learning Market Share insights

NVIDIA Corporation, Intel Corporation, Google, Inc., Microsoft Corporation are the key players in this market. To address the problems of creating suitable hardware and increasing market penetration, key players are engaging mergers and acquisitions. In August 2016, Intel Corporation acquired Nervana Systems in order to maintain control over the development of the hardware chipsets platform.

Companies are also investing in deep learning capabilities to integrate the technology into their products. GE Healthcare and the University of California, San Francisco announced a partnership in November 2016 to create deep learning algorithms libraries to aid physicians in diagnosing and treating more accurately and effectively.

The Report Covers Certain Segments

This report predicts revenue growth at the global, regional and country level and analyzes industry trends for each sub-segment from 2016-2025. Grand View Research has divided the global deep-learning market by solution, hardware, application, service, region, and end use.

• Solution Outlook (Revenue USD Million; 2014-2025)

  • Hardware

  • Software

  • Service

    • Installation services

    • Integration services

    • Support & Maintenance

• Hardware Outlook (Revenue USD Million; 2014-2025)

  • Central Processing Unit (CPU).

  • Graphics Processing Unit (GPU).

  • Field Programmable Gate Array (FPGA)

  • Application-Specific Integrated Circuits (ASIC).

• App Outlook (Revenue USD Million; 2014-2025)

  • Image recognition

  • Voice recognition

  • Video surveillance & diagnostics

  • Data mining

• End-use Outlook (Revenue USD Million, 2016-2025)

  • Automotive

  • Aerospace & defense

  • Healthcare

  • Manufacturing

  • Other

• Regional Outlook (Revenue USD Million; 2014-2025)

  • North America

    • The U.S.

    • Canada

  • Europe

    • Germany

    • UK

  • Asia Pacific

    • China

    • India

    • Japan

  • Latin America

    • Brazil

    • Mexico

  • MEA

Up Market Research published a new report titled “Deep Learning Market research report which is segmented by Hardware (GPU, ASIC, CPU, FPGA), By Players/Companies Installation services, ServiceInstallation servicesIntegration servicesMaintenance & support services, Solution Outlook (Revenue USD Million; 2014 - 2025)HardwareSoftwareServiceInstallation servicesIntegration servicesMaintenance & support services, Hardware, Maintenance & support services, Integration services, Software”. As per the study the market is expected to grow at a CAGR of XX% in the forecast period.

Report Scope

The report covers comprehensive data on emerging trends, market drivers, growth opportunities, and restraints that can change the market dynamics of the industry. It provides an in-depth analysis of the market segments which include products, applications, and competitor analysis.

Global Deep Learning Market Report Segments:

The market is segmented by Hardware (GPU, ASIC, CPU, FPGA).

Deep Learning Market research report delivers a close watch on leading competitors with strategic analysis, micro and macro market trend and scenarios, pricing analysis and a holistic overview of the market situations in the forecast period. It is a professional and a detailed report focusing on primary and secondary drivers, market share, leading segments and geographical analysis. Further, key players, major collaborations, merger & acquisitions along with trending innovation and business policies are reviewed in the report.

Key Benefits for Industry Participants & Stakeholders:

• Industry drivers, restraints, and opportunities covered in the study
• Neutral perspective on the market performance
• Recent industry trends and developments
• Competitive landscape & strategies of key players
• Potential & niche segments and regions exhibiting promising growth covered
• Historical, current, and projected market size, in terms of value
• In-depth analysis of the Deep Learning Market

Overview of the regional outlook of the Deep Learning Market:

Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa (MEA). North America region is further bifurcated into countries such as U.S., and Canada. The Europe region is further categorized into U.K., France, Germany, Italy, Spain, Russia, and Rest of Europe. Asia Pacific is further segmented into China, Japan, South Korea, India, Australia, South East Asia, and Rest of Asia Pacific. Latin America region is further segmented into Brazil, Mexico, and Rest of Latin America, and the MEA region is further divided into GCC, Turkey, South Africa, and Rest of MEA.

Highlights of The Deep Learning Market Report:

1. The market structure and projections for the coming years.
2. Drivers, restraints, opportunities, and current trends of Deep Learning Market.
3. Historical data and forecast.
4. Estimations for the forecast period 2028.
5. Developments and trends in the market.

                1. GPU

                2. ASIC

                3. CPU

                4. FPGA

7. Market scenario by region, sub-region, and country.
8. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
9. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
10. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Deep Learning 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 2028.

How you may use our products:

• Correctly Positioning New Products
• Market Entry Strategies
• Business Expansion Strategies
• Consumer Insights
• Understanding Competition Scenario
• Product & Brand Management
• Channel & Customer Management
• Identifying Appropriate Advertising Appeals

Reasons to Purchase the Deep Learning Market Report:

• The report includes a plethora of information such as market dynamics scenario and opportunities during the forecast period
• Segments and sub-segments include quantitative, qualitative, value (USD Million,) and volume (Units Million) data.
• Regional, sub-regional, and country level data includes the demand and supply forces along with their influence on the market.
• The competitive landscape comprises share of key players, new developments, and strategies in the last three years.
• Comprehensive companies offering products, relevant financial information, recent developments, SWOT analysis, and strategies by these players.