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Global Deep Learning Artificial Intelligence Market Research Report 2024
Synopsis
Global Deep Learning Artificial Intelligence market is projected to reach US$ 101260 million in 2029, increasing from US$ 15240 million in 2022, with the CAGR of 31.1% during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Deep Learning Artificial Intelligence market research.
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 €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$432.8 billion in 2022, a year-on-year increase of 19.115%, including software, hardware and services.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Deep Learning Artificial Intelligence market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Google
Microsoft
Lionbridge
AWS
IBM
Omniscien Technologies
Baidu
Tencent
Alibaba
KantanAI
Smart Communications, Inc.
LLSOLLU
Albert Technologies
Yseop
Ipsoft
NanoRep (LogMeIn)
Ada Support
Astute Solutions
IDEAL
Wipro
Brainasoft
Segment by Type
Cloud-based
On-premise
Segment by Application
Household Use
Commercial Use
Industrial Use
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The Deep Learning Artificial Intelligence report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Global Deep Learning Artificial Intelligence market is projected to reach US$ 101260 million in 2029, increasing from US$ 15240 million in 2022, with the CAGR of 31.1% during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Deep Learning Artificial Intelligence market research.
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 €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 Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Deep Learning Artificial Intelligence market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Microsoft
Lionbridge
AWS
IBM
Omniscien Technologies
Baidu
Tencent
Alibaba
KantanAI
Smart Communications, Inc.
LLSOLLU
Albert Technologies
Yseop
Ipsoft
NanoRep (LogMeIn)
Ada Support
Astute Solutions
IDEAL
Wipro
Brainasoft
Segment by Type
Cloud-based
On-premise
Segment by Application
Household Use
Commercial Use
Industrial Use
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The Deep Learning Artificial Intelligence report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Deep Learning Artificial Intelligence Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Cloud-based
1.2.3 On-premise
1.3 Market by Application
1.3.1 Global Deep Learning Artificial Intelligence Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Household Use
1.3.3 Commercial Use
1.3.4 Industrial Use
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Deep Learning Artificial Intelligence Market Perspective (2018-2029)
2.2 Deep Learning Artificial Intelligence Growth Trends by Region
2.2.1 Global Deep Learning Artificial Intelligence Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Deep Learning Artificial Intelligence Historic Market Size by Region (2018-2023)
2.2.3 Deep Learning Artificial Intelligence Forecasted Market Size by Region (2024-2029)
2.3 Deep Learning Artificial Intelligence Market Dynamics
2.3.1 Deep Learning Artificial Intelligence Industry Trends
2.3.2 Deep Learning Artificial Intelligence Market Drivers
2.3.3 Deep Learning Artificial Intelligence Market Challenges
2.3.4 Deep Learning Artificial Intelligence Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Deep Learning Artificial Intelligence Players by Revenue
3.1.1 Global Top Deep Learning Artificial Intelligence Players by Revenue (2018-2023)
3.1.2 Global Deep Learning Artificial Intelligence Revenue Market Share by Players (2018-2023)
3.2 Global Deep Learning Artificial Intelligence Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Deep Learning Artificial Intelligence Revenue
3.4 Global Deep Learning Artificial Intelligence Market Concentration Ratio
3.4.1 Global Deep Learning Artificial Intelligence Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Deep Learning Artificial Intelligence Revenue in 2022
3.5 Deep Learning Artificial Intelligence Key Players Head office and Area Served
3.6 Key Players Deep Learning Artificial Intelligence Product Solution and Service
3.7 Date of Enter into Deep Learning Artificial Intelligence Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Deep Learning Artificial Intelligence Breakdown Data by Type
4.1 Global Deep Learning Artificial Intelligence Historic Market Size by Type (2018-2023)
4.2 Global Deep Learning Artificial Intelligence Forecasted Market Size by Type (2024-2029)
5 Deep Learning Artificial Intelligence Breakdown Data by Application
5.1 Global Deep Learning Artificial Intelligence Historic Market Size by Application (2018-2023)
5.2 Global Deep Learning Artificial Intelligence Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Deep Learning Artificial Intelligence Market Size (2018-2029)
6.2 North America Deep Learning Artificial Intelligence Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Deep Learning Artificial Intelligence Market Size by Country (2018-2023)
6.4 North America Deep Learning Artificial Intelligence Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Deep Learning Artificial Intelligence Market Size (2018-2029)
7.2 Europe Deep Learning Artificial Intelligence Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Deep Learning Artificial Intelligence Market Size by Country (2018-2023)
7.4 Europe Deep Learning Artificial Intelligence Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Deep Learning Artificial Intelligence Market Size (2018-2029)
8.2 Asia-Pacific Deep Learning Artificial Intelligence Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Deep Learning Artificial Intelligence Market Size by Region (2018-2023)
8.4 Asia-Pacific Deep Learning Artificial Intelligence Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Deep Learning Artificial Intelligence Market Size (2018-2029)
9.2 Latin America Deep Learning Artificial Intelligence Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Deep Learning Artificial Intelligence Market Size by Country (2018-2023)
9.4 Latin America Deep Learning Artificial Intelligence Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Deep Learning Artificial Intelligence Market Size (2018-2029)
10.2 Middle East & Africa Deep Learning Artificial Intelligence Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Deep Learning Artificial Intelligence Market Size by Country (2018-2023)
10.4 Middle East & Africa Deep Learning Artificial Intelligence Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google
11.1.1 Google Company Detail
11.1.2 Google Business Overview
11.1.3 Google Deep Learning Artificial Intelligence Introduction
11.1.4 Google Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.1.5 Google Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Detail
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 (2018-2023)
11.2.5 Microsoft Recent Development
11.3 Lionbridge
11.3.1 Lionbridge Company Detail
11.3.2 Lionbridge Business Overview
11.3.3 Lionbridge Deep Learning Artificial Intelligence Introduction
11.3.4 Lionbridge Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.3.5 Lionbridge Recent Development
11.4 AWS
11.4.1 AWS Company Detail
11.4.2 AWS Business Overview
11.4.3 AWS Deep Learning Artificial Intelligence Introduction
11.4.4 AWS Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.4.5 AWS Recent Development
11.5 IBM
11.5.1 IBM Company Detail
11.5.2 IBM Business Overview
11.5.3 IBM Deep Learning Artificial Intelligence Introduction
11.5.4 IBM Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.5.5 IBM Recent Development
11.6 Omniscien Technologies
11.6.1 Omniscien Technologies Company Detail
11.6.2 Omniscien Technologies Business Overview
11.6.3 Omniscien Technologies Deep Learning Artificial Intelligence Introduction
11.6.4 Omniscien Technologies Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.6.5 Omniscien Technologies Recent Development
11.7 Baidu
11.7.1 Baidu Company Detail
11.7.2 Baidu Business Overview
11.7.3 Baidu Deep Learning Artificial Intelligence Introduction
11.7.4 Baidu Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.7.5 Baidu Recent Development
11.8 Tencent
11.8.1 Tencent Company Detail
11.8.2 Tencent Business Overview
11.8.3 Tencent Deep Learning Artificial Intelligence Introduction
11.8.4 Tencent Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.8.5 Tencent Recent Development
11.9 Alibaba
11.9.1 Alibaba Company Detail
11.9.2 Alibaba Business Overview
11.9.3 Alibaba Deep Learning Artificial Intelligence Introduction
11.9.4 Alibaba Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.9.5 Alibaba Recent Development
11.10 KantanAI
11.10.1 KantanAI Company Detail
11.10.2 KantanAI Business Overview
11.10.3 KantanAI Deep Learning Artificial Intelligence Introduction
11.10.4 KantanAI Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.10.5 KantanAI Recent Development
11.11 Smart Communications, Inc.
11.11.1 Smart Communications, Inc. Company Detail
11.11.2 Smart Communications, Inc. Business Overview
11.11.3 Smart Communications, Inc. Deep Learning Artificial Intelligence Introduction
11.11.4 Smart Communications, Inc. Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.11.5 Smart Communications, Inc. Recent Development
11.12 LLSOLLU
11.12.1 LLSOLLU Company Detail
11.12.2 LLSOLLU Business Overview
11.12.3 LLSOLLU Deep Learning Artificial Intelligence Introduction
11.12.4 LLSOLLU Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.12.5 LLSOLLU Recent Development
11.13 Albert Technologies
11.13.1 Albert Technologies Company Detail
11.13.2 Albert Technologies Business Overview
11.13.3 Albert Technologies Deep Learning Artificial Intelligence Introduction
11.13.4 Albert Technologies Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.13.5 Albert Technologies Recent Development
11.14 Yseop
11.14.1 Yseop Company Detail
11.14.2 Yseop Business Overview
11.14.3 Yseop Deep Learning Artificial Intelligence Introduction
11.14.4 Yseop Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.14.5 Yseop Recent Development
11.15 Ipsoft
11.15.1 Ipsoft Company Detail
11.15.2 Ipsoft Business Overview
11.15.3 Ipsoft Deep Learning Artificial Intelligence Introduction
11.15.4 Ipsoft Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.15.5 Ipsoft Recent Development
11.16 NanoRep (LogMeIn)
11.16.1 NanoRep (LogMeIn) Company Detail
11.16.2 NanoRep (LogMeIn) Business Overview
11.16.3 NanoRep (LogMeIn) Deep Learning Artificial Intelligence Introduction
11.16.4 NanoRep (LogMeIn) Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.16.5 NanoRep (LogMeIn) Recent Development
11.17 Ada Support
11.17.1 Ada Support Company Detail
11.17.2 Ada Support Business Overview
11.17.3 Ada Support Deep Learning Artificial Intelligence Introduction
11.17.4 Ada Support Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.17.5 Ada Support Recent Development
11.18 Astute Solutions
11.18.1 Astute Solutions Company Detail
11.18.2 Astute Solutions Business Overview
11.18.3 Astute Solutions Deep Learning Artificial Intelligence Introduction
11.18.4 Astute Solutions Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.18.5 Astute Solutions Recent Development
11.19 IDEAL
11.19.1 IDEAL Company Detail
11.19.2 IDEAL Business Overview
11.19.3 IDEAL Deep Learning Artificial Intelligence Introduction
11.19.4 IDEAL Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.19.5 IDEAL Recent Development
11.20 Wipro
11.20.1 Wipro Company Detail
11.20.2 Wipro Business Overview
11.20.3 Wipro Deep Learning Artificial Intelligence Introduction
11.20.4 Wipro Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.20.5 Wipro Recent Development
11.21 Brainasoft
11.21.1 Brainasoft Company Detail
11.21.2 Brainasoft Business Overview
11.21.3 Brainasoft Deep Learning Artificial Intelligence Introduction
11.21.4 Brainasoft Revenue in Deep Learning Artificial Intelligence Business (2018-2023)
11.21.5 Brainasoft Recent Development
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
Published By : QY Research
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