Deep learning uses artificial neural networks to perform sophisticated computations on large amounts of data. It is a type of machine learning that works based on the structure and function of the human brain. Deep learning algorithms train machines by learning from examples.Deep learning drives many artificial intelligence (AI) applications and services that improve automation, performing analytical and physical tasks without human intervention. Deep learning technology lies behind everyday products and services (such as digital assistants, voice-enabled TV remotes, and credit card fraud detection) as well as emerging technologies (such as self-driving cars).
麻豆原创 Analysis and Insights: Global Deep Learning Artificial Intelligence 麻豆原创
The global Deep Learning Artificial Intelligence market is projected to grow from US$ 19950 million in 2024 to US$ 101260 million by 2030, at a Compound Annual Growth Rate (CAGR) of 31.1% during the forecast period.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate 鈧�9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.115%, including software, hardware and services.
Report Covers:
This report presents an overview of global market for Deep Learning Artificial Intelligence market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Deep Learning Artificial Intelligence, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Deep Learning Artificial Intelligence, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Deep Learning Artificial Intelligence revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Deep Learning Artificial Intelligence market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Deep Learning Artificial Intelligence revenue, projected growth trends, production technology, application and end-user industry.
麻豆原创 Segmentation
By Company
Google (Alphabet)
Microsoft
NVIDIA
Intel
Apple Inc.
Amazon
IBM
Meta
Oracle
Cisco
SAP SE
Rockwell Automation
Micron Technology
AMD
Qualcomm
Omniscien Technologies
Baidu
Tencent
Alibaba
Yseop
Ipsoft
NanoRep (LogMeIn)
Ada Support
Astute Solutions
Wipro
Brainasoft
KantanAI
LLSOLLU
Zoomd
Lionbridge
Segment by Type
Fully Connected Network
Convolutional Neural Network
Recurrent Neural Network
Others
Segment by Application
Commercial Use
Industrial Use
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Revenue of Deep Learning Artificial Intelligence in global and regional 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, and capacity of each country in the world. This section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Deep Learning Artificial Intelligence companies鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, 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 revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Deep Learning Artificial Intelligence revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Deep Learning Artificial Intelligence 麻豆原创 Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Fully Connected Network
1.2.3 Convolutional Neural Network
1.2.4 Recurrent Neural Network
1.2.5 Others
1.3 麻豆原创 by Application
1.3.1 Global Deep Learning Artificial Intelligence 麻豆原创 Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 Commercial Use
1.3.3 Industrial Use
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Deep Learning Artificial Intelligence 麻豆原创 Perspective (2019-2030)
2.2 Global Deep Learning Artificial Intelligence Growth Trends by Region
2.2.1 Deep Learning Artificial Intelligence 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Deep Learning Artificial Intelligence Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Deep Learning Artificial Intelligence Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Deep Learning Artificial Intelligence 麻豆原创 Dynamics
2.3.1 Deep Learning Artificial Intelligence Industry Trends
2.3.2 Deep Learning Artificial Intelligence 麻豆原创 Drivers
2.3.3 Deep Learning Artificial Intelligence 麻豆原创 Challenges
2.3.4 Deep Learning Artificial Intelligence 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Deep Learning Artificial Intelligence by Players
3.1.1 Global Deep Learning Artificial Intelligence Revenue by Players (2019-2024)
3.1.2 Global Deep Learning Artificial Intelligence Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Deep Learning Artificial Intelligence 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Deep Learning Artificial Intelligence, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Deep Learning Artificial Intelligence 麻豆原创 Concentration Ratio
3.4.1 Global Deep Learning Artificial Intelligence 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Deep Learning Artificial Intelligence Revenue in 2023
3.5 Global Key Players of Deep Learning Artificial Intelligence Head office and Area Served
3.6 Global Key Players of Deep Learning Artificial Intelligence, Product and Application
3.7 Global Key Players of Deep Learning Artificial Intelligence, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Deep Learning Artificial Intelligence Breakdown Data by Type
4.1 Global Deep Learning Artificial Intelligence Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Deep Learning Artificial Intelligence Forecasted 麻豆原创 Size by Type (2025-2030)
5 Deep Learning Artificial Intelligence Breakdown Data by Application
5.1 Global Deep Learning Artificial Intelligence Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Deep Learning Artificial Intelligence Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Deep Learning Artificial Intelligence 麻豆原创 Size (2019-2030)
6.2 North America Deep Learning Artificial Intelligence 麻豆原创 Size by Type
6.2.1 North America Deep Learning Artificial Intelligence 麻豆原创 Size by Type (2019-2024)
6.2.2 North America Deep Learning Artificial Intelligence 麻豆原创 Size by Type (2025-2030)
6.2.3 North America Deep Learning Artificial Intelligence 麻豆原创 Share by Type (2019-2030)
6.3 North America Deep Learning Artificial Intelligence 麻豆原创 Size by Application
6.3.1 North America Deep Learning Artificial Intelligence 麻豆原创 Size by Application (2019-2024)
6.3.2 North America Deep Learning Artificial Intelligence 麻豆原创 Size by Application (2025-2030)
6.3.3 North America Deep Learning Artificial Intelligence 麻豆原创 Share by Application (2019-2030)
6.4 North America Deep Learning Artificial Intelligence 麻豆原创 Size by Country
6.4.1 North America Deep Learning Artificial Intelligence 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Deep Learning Artificial Intelligence 麻豆原创 Size by Country (2019-2024)
6.4.3 North America Deep Learning Artificial Intelligence 麻豆原创 Size by Country (2025-2030)
6.4.4 United States
6.4.5 Canada
7 Europe
7.1 Europe Deep Learning Artificial Intelligence 麻豆原创 Size (2019-2030)
7.2 Europe Deep Learning Artificial Intelligence 麻豆原创 Size by Type
7.2.1 Europe Deep Learning Artificial Intelligence 麻豆原创 Size by Type (2019-2024)
7.2.2 Europe Deep Learning Artificial Intelligence 麻豆原创 Size by Type (2025-2030)
7.2.3 Europe Deep Learning Artificial Intelligence 麻豆原创 Share by Type (2019-2030)
7.3 Europe Deep Learning Artificial Intelligence 麻豆原创 Size by Application
7.3.1 Europe Deep Learning Artificial Intelligence 麻豆原创 Size by Application (2019-2024)
7.3.2 Europe Deep Learning Artificial Intelligence 麻豆原创 Size by Application (2025-2030)
7.3.3 Europe Deep Learning Artificial Intelligence 麻豆原创 Share by Application (2019-2030)
7.4 Europe Deep Learning Artificial Intelligence 麻豆原创 Size by Country
7.4.1 Europe Deep Learning Artificial Intelligence 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Deep Learning Artificial Intelligence 麻豆原创 Size by Country (2019-2024)
7.4.3 Europe Deep Learning Artificial Intelligence 麻豆原创 Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Deep Learning Artificial Intelligence 麻豆原创 Size (2019-2030)
8.2 China Deep Learning Artificial Intelligence 麻豆原创 Size by Type
8.2.1 China Deep Learning Artificial Intelligence 麻豆原创 Size by Type (2019-2024)
8.2.2 China Deep Learning Artificial Intelligence 麻豆原创 Size by Type (2025-2030)
8.2.3 China Deep Learning Artificial Intelligence 麻豆原创 Share by Type (2019-2030)
8.3 China Deep Learning Artificial Intelligence 麻豆原创 Size by Application
8.3.1 China Deep Learning Artificial Intelligence 麻豆原创 Size by Application (2019-2024)
8.3.2 China Deep Learning Artificial Intelligence 麻豆原创 Size by Application (2025-2030)
8.3.3 China Deep Learning Artificial Intelligence 麻豆原创 Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Deep Learning Artificial Intelligence 麻豆原创 Size (2019-2030)
9.2 Asia Deep Learning Artificial Intelligence 麻豆原创 Size by Type
9.2.1 Asia Deep Learning Artificial Intelligence 麻豆原创 Size by Type (2019-2024)
9.2.2 Asia Deep Learning Artificial Intelligence 麻豆原创 Size by Type (2025-2030)
9.2.3 Asia Deep Learning Artificial Intelligence 麻豆原创 Share by Type (2019-2030)
9.3 Asia Deep Learning Artificial Intelligence 麻豆原创 Size by Application
9.3.1 Asia Deep Learning Artificial Intelligence 麻豆原创 Size by Application (2019-2024)
9.3.2 Asia Deep Learning Artificial Intelligence 麻豆原创 Size by Application (2025-2030)
9.3.3 Asia Deep Learning Artificial Intelligence 麻豆原创 Share by Application (2019-2030)
9.4 Asia Deep Learning Artificial Intelligence 麻豆原创 Size by Region
9.4.1 Asia Deep Learning Artificial Intelligence 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Deep Learning Artificial Intelligence 麻豆原创 Size by Region (2019-2024)
9.4.3 Asia Deep Learning Artificial Intelligence 麻豆原创 Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Deep Learning Artificial Intelligence 麻豆原创 Size (2019-2030)
10.2 Middle East, Africa, and Latin America Deep Learning Artificial Intelligence 麻豆原创 Size by Type
10.2.1 Middle East, Africa, and Latin America Deep Learning Artificial Intelligence 麻豆原创 Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Deep Learning Artificial Intelligence 麻豆原创 Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Deep Learning Artificial Intelligence 麻豆原创 Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Deep Learning Artificial Intelligence 麻豆原创 Size by Application
10.3.1 Middle East, Africa, and Latin America Deep Learning Artificial Intelligence 麻豆原创 Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Deep Learning Artificial Intelligence 麻豆原创 Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Deep Learning Artificial Intelligence 麻豆原创 Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Deep Learning Artificial Intelligence 麻豆原创 Size by Country
10.4.1 Middle East, Africa, and Latin America Deep Learning Artificial Intelligence 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Deep Learning Artificial Intelligence 麻豆原创 Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Deep Learning Artificial Intelligence 麻豆原创 Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Google (Alphabet)
11.1.1 Google (Alphabet) Company Details
11.1.2 Google (Alphabet) Business Overview
11.1.3 Google (Alphabet) Deep Learning Artificial Intelligence Introduction
11.1.4 Google (Alphabet) Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.1.5 Google (Alphabet) Recent Developments
11.2 Microsoft
11.2.1 Microsoft Company Details
11.2.2 Microsoft Business Overview
11.2.3 Microsoft Deep Learning Artificial Intelligence Introduction
11.2.4 Microsoft Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.2.5 Microsoft Recent Developments
11.3 NVIDIA
11.3.1 NVIDIA Company Details
11.3.2 NVIDIA Business Overview
11.3.3 NVIDIA Deep Learning Artificial Intelligence Introduction
11.3.4 NVIDIA Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.3.5 NVIDIA Recent Developments
11.4 Intel
11.4.1 Intel Company Details
11.4.2 Intel Business Overview
11.4.3 Intel Deep Learning Artificial Intelligence Introduction
11.4.4 Intel Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.4.5 Intel Recent Developments
11.5 Apple Inc.
11.5.1 Apple Inc. Company Details
11.5.2 Apple Inc. Business Overview
11.5.3 Apple Inc. Deep Learning Artificial Intelligence Introduction
11.5.4 Apple Inc. Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.5.5 Apple Inc. Recent Developments
11.6 Amazon
11.6.1 Amazon Company Details
11.6.2 Amazon Business Overview
11.6.3 Amazon Deep Learning Artificial Intelligence Introduction
11.6.4 Amazon Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.6.5 Amazon Recent Developments
11.7 IBM
11.7.1 IBM Company Details
11.7.2 IBM Business Overview
11.7.3 IBM Deep Learning Artificial Intelligence Introduction
11.7.4 IBM Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.7.5 IBM Recent Developments
11.8 Meta
11.8.1 Meta Company Details
11.8.2 Meta Business Overview
11.8.3 Meta Deep Learning Artificial Intelligence Introduction
11.8.4 Meta Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.8.5 Meta Recent Developments
11.9 Oracle
11.9.1 Oracle Company Details
11.9.2 Oracle Business Overview
11.9.3 Oracle Deep Learning Artificial Intelligence Introduction
11.9.4 Oracle Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.9.5 Oracle Recent Developments
11.10 Cisco
11.10.1 Cisco Company Details
11.10.2 Cisco Business Overview
11.10.3 Cisco Deep Learning Artificial Intelligence Introduction
11.10.4 Cisco Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.10.5 Cisco Recent Developments
11.11 SAP SE
11.11.1 SAP SE Company Details
11.11.2 SAP SE Business Overview
11.11.3 SAP SE Deep Learning Artificial Intelligence Introduction
11.11.4 SAP SE Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.11.5 SAP SE Recent Developments
11.12 Rockwell Automation
11.12.1 Rockwell Automation Company Details
11.12.2 Rockwell Automation Business Overview
11.12.3 Rockwell Automation Deep Learning Artificial Intelligence Introduction
11.12.4 Rockwell Automation Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.12.5 Rockwell Automation Recent Developments
11.13 Micron Technology
11.13.1 Micron Technology Company Details
11.13.2 Micron Technology Business Overview
11.13.3 Micron Technology Deep Learning Artificial Intelligence Introduction
11.13.4 Micron Technology Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.13.5 Micron Technology Recent Developments
11.14 AMD
11.14.1 AMD Company Details
11.14.2 AMD Business Overview
11.14.3 AMD Deep Learning Artificial Intelligence Introduction
11.14.4 AMD Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.14.5 AMD Recent Developments
11.15 Qualcomm
11.15.1 Qualcomm Company Details
11.15.2 Qualcomm Business Overview
11.15.3 Qualcomm Deep Learning Artificial Intelligence Introduction
11.15.4 Qualcomm Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.15.5 Qualcomm Recent Developments
11.16 Omniscien Technologies
11.16.1 Omniscien Technologies Company Details
11.16.2 Omniscien Technologies Business Overview
11.16.3 Omniscien Technologies Deep Learning Artificial Intelligence Introduction
11.16.4 Omniscien Technologies Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.16.5 Omniscien Technologies Recent Developments
11.17 Baidu
11.17.1 Baidu Company Details
11.17.2 Baidu Business Overview
11.17.3 Baidu Deep Learning Artificial Intelligence Introduction
11.17.4 Baidu Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.17.5 Baidu Recent Developments
11.18 Tencent
11.18.1 Tencent Company Details
11.18.2 Tencent Business Overview
11.18.3 Tencent Deep Learning Artificial Intelligence Introduction
11.18.4 Tencent Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.18.5 Tencent Recent Developments
11.19 Alibaba
11.19.1 Alibaba Company Details
11.19.2 Alibaba Business Overview
11.19.3 Alibaba Deep Learning Artificial Intelligence Introduction
11.19.4 Alibaba Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.19.5 Alibaba Recent Developments
11.20 Yseop
11.20.1 Yseop Company Details
11.20.2 Yseop Business Overview
11.20.3 Yseop Deep Learning Artificial Intelligence Introduction
11.20.4 Yseop Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.20.5 Yseop Recent Developments
11.21 Ipsoft
11.21.1 Ipsoft Company Details
11.21.2 Ipsoft Business Overview
11.21.3 Ipsoft Deep Learning Artificial Intelligence Introduction
11.21.4 Ipsoft Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.21.5 Ipsoft Recent Developments
11.22 NanoRep (LogMeIn)
11.22.1 NanoRep (LogMeIn) Company Details
11.22.2 NanoRep (LogMeIn) Business Overview
11.22.3 NanoRep (LogMeIn) Deep Learning Artificial Intelligence Introduction
11.22.4 NanoRep (LogMeIn) Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.22.5 NanoRep (LogMeIn) Recent Developments
11.23 Ada Support
11.23.1 Ada Support Company Details
11.23.2 Ada Support Business Overview
11.23.3 Ada Support Deep Learning Artificial Intelligence Introduction
11.23.4 Ada Support Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.23.5 Ada Support Recent Developments
11.24 Astute Solutions
11.24.1 Astute Solutions Company Details
11.24.2 Astute Solutions Business Overview
11.24.3 Astute Solutions Deep Learning Artificial Intelligence Introduction
11.24.4 Astute Solutions Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.24.5 Astute Solutions Recent Developments
11.25 Wipro
11.25.1 Wipro Company Details
11.25.2 Wipro Business Overview
11.25.3 Wipro Deep Learning Artificial Intelligence Introduction
11.25.4 Wipro Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.25.5 Wipro Recent Developments
11.26 Brainasoft
11.26.1 Brainasoft Company Details
11.26.2 Brainasoft Business Overview
11.26.3 Brainasoft Deep Learning Artificial Intelligence Introduction
11.26.4 Brainasoft Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.26.5 Brainasoft Recent Developments
11.27 KantanAI
11.27.1 KantanAI Company Details
11.27.2 KantanAI Business Overview
11.27.3 KantanAI Deep Learning Artificial Intelligence Introduction
11.27.4 KantanAI Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.27.5 KantanAI Recent Developments
11.28 LLSOLLU
11.28.1 LLSOLLU Company Details
11.28.2 LLSOLLU Business Overview
11.28.3 LLSOLLU Deep Learning Artificial Intelligence Introduction
11.28.4 LLSOLLU Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.28.5 LLSOLLU Recent Developments
11.29 Zoomd
11.29.1 Zoomd Company Details
11.29.2 Zoomd Business Overview
11.29.3 Zoomd Deep Learning Artificial Intelligence Introduction
11.29.4 Zoomd Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.29.5 Zoomd Recent Developments
11.30 Lionbridge
11.30.1 Lionbridge Company Details
11.30.2 Lionbridge Business Overview
11.30.3 Lionbridge Deep Learning Artificial Intelligence Introduction
11.30.4 Lionbridge Revenue in Deep Learning Artificial Intelligence Business (2019-2024)
11.30.5 Lionbridge Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Google (Alphabet)
Microsoft
NVIDIA
Intel
Apple Inc.
Amazon
IBM
Meta
Oracle
Cisco
SAP SE
Rockwell Automation
Micron Technology
AMD
Qualcomm
Omniscien Technologies
Baidu
Tencent
Alibaba
Yseop
Ipsoft
NanoRep (LogMeIn)
Ada Support
Astute Solutions
Wipro
Brainasoft
KantanAI
LLSOLLU
Zoomd
Lionbridge
听
听
*If Applicable.
