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The global Deep Learning market was valued at US$ 2748.5 million in 2022 and is projected to reach US$ 11460 million by 2029, at a CAGR of 22.6% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The USA market for Global Deep Learning market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.
The China market for Global Deep Learning market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.
The Europe market for Global Deep Learning market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.
The deep learning market has been segmented on the basis of offerings, applications, end-user industries, and geographies. In terms of offerings, software holds the largest share of the deep learning market. Also, the market for services is expected to grow at the highest CAGR from 2018 to 2023. The increasing adoption of deep learning software solutions in various applications, such as smartphone assistants, ATMs that read checks, voice and image recognition software on social network, and software that serves up ads on many websites, is driving the growth of machine learning technology in the deep learning market. Most companies that manufacture and develop deep learning systems and related software provide both online and offline support, depending on the application. Several companies provide installation, training, and support pertaining to these systems, along with online assistance and post-maintenance of software and required services.
This report aims to provide a comprehensive presentation of the global market for Deep Learning, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Deep Learning.
This report contains market size and forecasts of Deep Learning in global, including the following market information:
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Hardware Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Deep Learning include Amazon Web Services (AWS), Google, IBM, Intel, Micron Technology, Microsoft, Nvidia, Qualcomm and Samsung, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Deep Learning companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Deep Learning Market, by Type, 2018-2023, 2024-2030 ($ millions)
Global Deep Learning Market Segment Percentages, by Type, 2022 (%)
Global Deep Learning Market, by Application, 2018-2023, 2024-2030 ($ millions)
Global Deep Learning Market Segment Percentages, by Application, 2022 (%)
Global Deep Learning Market, By Region and Country, 2018-2023, 2024-2030 ($ Millions)
Global Deep Learning Market Segment Percentages, By Region and Country, 2022 (%)
Competitor Analysis
The report also provides analysis of leading market participants including:
Further, the report presents profiles of competitors in the market, key players include:
Outline of Major Chapters:
Chapter 1: Introduces the definition of Deep Learning, market overview.
Chapter 2: Global Deep Learning market size in revenue.
Chapter 3: Detailed analysis of Deep Learning company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Deep Learning in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.