Deep Learning Market Report Key Highlights

• Global deep learning market revenue is estimated to reach USD 415.4 Billion by 2030 with a CAGR of 51.1% from 2022 to 2030
• North America deep learning market share accounted for over 39% regional shares in 2021
• According to recent findings, global data creation is projected to grow to more than 180 zettabytes by 2025
• Asia-Pacific deep learning market growth will record fastest CAGR from 2022 to 2030
• Based on component segment, software accounted for approx 50% of the overall market share in 2021
• Introduction of new hardware propels the deep learning market value in coming years

Deep learning is a subdivision of machine learning in artificial intelligence (AI) concerned with the algorithm inspired by the functioning of the human brain termed artificial neural networks. It is also termed deep neural learning or deep neural network. Deep learning is evolved with the increasing amount of unstructured data due to digitalization. The available amount of data is utilized in deep learning to process or understand that data for effective decision-making in various industry verticals including healthcare, manufacturing, automotive, agriculture, retail, security, human resources, marketing, law, and fintech.

Global Deep Learning Market Dynamics

Market Drivers

• Improving computing power
• Growing adoption of cloud-based technology
• Increasing application in big data analytics
• Rising AI adoption in customer-centric services

Market Restraints

• Rising complexity in hardware
• Shortage of technical expertise

Market Opportunities

• Growing demand for deep learning solutions in numerous industries
• Tremendous investments in deep learning technology

Deep Learning Market Report Coverage

Deep Learning Market Dynamics

Improving computing power and declining hardware costs coupled with the rapidly growing electronics industry. The increasing adoption of cloud-based technology due to the evolution of big data is supporting the deep learning market growth. The increasing adoption of artificial intelligence (AI) based customer-centric services are further propelling the market value. The rising security issues in almost every industry vertical due to online platform usage are further accelerating market growth. In addition, the presence of fewer amounts of structured data and increasing spending in healthcare, travel, tourism, and hospitality industries is anticipated to create potential opportunities in the deep learning market.

On the flip side, increasing complexity in hardware due to the complex algorithms used in technology-based applications is projected to hamper growth over the forecast period. Additionally, the absence of standards and protocols is further expected to hinder the growth to some extent during the estimated period.

Deep Learning Market Segmentation

The worldwide deep learning market is split based on component, application, end-user, and geography.

Deep Learning Market By Component

• Hardware
  • Processor
    • GPU
    • FPGA
    • CPU
    • Others
  • Memory
  • Network
• Software
  • Solution (Software Framework/SDK)
  • Platform/API
• Services
  • Installation
  • Training
  • Support & Maintenance

According to our deep learning industry analysis, the hardware segment is one of the important components because of the increasing need for hardware platforms with high computing power to execute deep learning algorithms. The hardware segment consists of processors such as GPU, FPGA, and CPU among others, memory, and network. The rapidly evolving R&D activities for the expansion of better processing hardware for deep learning is also accelerating the market value. Additionally, the best suitable hardware to support deep learning technology can amplify the results.

Deep Learning Market By Application

• Image Recognition
• Signal Recognition
• Data Mining
• Others

As per our deep learning market forecast, the image recognition segment dominated the global deep learning market with maximum share from 2022 to 2030. The increasing demand for optical character recognition, object recognition, pattern recognition, code recognition, facial recognition, and digital image processing is particularly propelling market growth.

Deep Learning Market By End-User

• Healthcare
• Manufacturing
• Automotive
• Agriculture Retail
• Security
• Human Resources
• Marketing
• Law
• Fintech

On the basis of end-user, the security segment held the dominating share by end-user in the deep learning market. The rising security concern due to the changing cybersecurity ecosystem is supporting the segment growth. The new types of cyberattacks are found in the organization for the concern organizations are investing in preventive measures where deep learning helps in protecting their crucial information without data loss is also positively supporting the deep learning market value.

Deep Learning Market Regional Outlook

North America

• U.S.
• Canada

Europe

• U.K.
• Germany
• France
• Spain
• Rest of Europe

Latin America

• Mexico
• Brazil
• Rest of Latin America

Asia-Pacific

• India
• Japan
• China
• Australia
• South Korea
• Rest of Asia-Pacific

The Middle East & Africa (MEA)

• Gulf Cooperation Council (GCC)
• South Africa
• Rest of the Middle East & Africa

In 2021, North America held the major share of the global deep learning market

North America dominated the global market with a major share in 2021 due to the presence of advanced technology infrastructure. The major economy of the region including the US and Canada is particularly contributing to the major share of the regional market. The high demand for deep learning applications from industry verticals including healthcare, IT, aerospace & defense, automotive, and telecommunications is additionally supporting the regional market growth.

Deep Learning Market Players

The global deep learning companies profiled in the report include Amazon Web Services (AWS), Google, IBM, Intel, Micron Technology, Microsoft, Nvidia, Qualcomm, Samsung Electronics, Sensory Inc., Skymind, Xilinx, AMD, General Vision, Graphcore, Mellanox Technologies, Huawei Technologies, Fujitsu, Baidu, Mythic, Adapteva, Inc., and Koniku. The major players involved in mergers, acquisitions and strategic partnerships for the expansion of market share.