市場調查報告書
商品編碼
1134997
自監督學習的全球市場規模調查&預測,各技術,各終端用戶,各地區分析,2022-2029年Global Self-supervised Learning Market Size study & Forecast, by Technology, by End-User and Regional Analysis, 2022-2029 |
全球自監督學習市場在2021年估算為70億美元,在預測期間的2022-2029年預計將以33.4%以上健全的成長率增長。
本調查的目的是定義近年來各個細分市場和國家的市場規模,並在未來幾年預測它們的價值。本報告設計內容涵蓋調查對象國家產業的定性和定量雙方面。
此外也提供市場未來性的成長促進因素和課題等重要方面相關之詳細資訊。再加上主要企業的競爭情形和提供產品之詳細分析,並涵括利害關係者投資所需的微觀市場潛在機會。詳細的市場區隔和子區隔如下列。
各終端用戶
醫療保健
BFSI
汽車·運輸
軟體開發(IT)
廣告·媒體
其他
科技
自然語言處理(NLP)
computer vision
語音處理
各地區
北美
美國
加拿大
歐洲
英國
德國
法國
西班牙
義大利
其他歐洲
亞太地區
中國
印度
日本
澳洲
韓國
其他亞太地區
南美
巴西
墨西哥
全球其他地區
Global Self-supervised Learning Market is valued at approximately USD 7.0 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 33.4% over the forecast period 2022-2029. Recently, the field of artificial intelligence (AI) has undergone tremendous progress in emerging AI systems that can learn from large amounts of prudently labeled data. In this context, the paradigm of supervised learning has an evident track record for training specialist models that perform exceptionally well on the task that they are trained to do. Supervised learning has a range of applications, including text categorization, face detection, and colorization. In addition, it has applications in several industries such as healthcare, automotive & transportation, BFSI, advertising & media, software development, and others. Factors, such as the increasing applications of technologies such as face detection and voice recognition, along with surge in demand to streamline workflow across industries are driving the growth of the global self-supervised learning market.
As per the Department of Ministry of Corporate Affairs (MCA) the adoption of virtual assistants with speech recognition capabilities were set to rise from 60.5 million people across the U.S. in 2017 to 62.4 million in 2018. Also, around 66.6 million Americans are projected to adopt speech or voice recognition technology by the year 2019. Thus, the rise in usage of virtual assistant technology will spur the demand for self-supervised learning market. In addition, increasing R&D activities in technology companies, as well as growing awareness of the benefits of supervised learning among end-users are creating various lucrative prospects for the market over the forthcoming years. However, lack of skilled workforce in the field of supervised learning is one of the major factors that is restraining the market growth throughout the forecast period of 2022-2029.
The key regions considered for the Global Self-supervised Learning Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the space in terms of revenue, owing to the rising emphasis on the emergence of novel technologies, increasing investment in R&D activities, and presence of leading market players. Whereas, Asia Pacific is expected to grow significantly during the forecast period, owing to factors such as increasing adoption of self-supervised learning applications, as well as rising number of government initiatives in AI solutions.
Major market players included in this report are:
IBM
Alphabet Inc. (Google LLC)
Microsoft
Amazon Web Services, Inc.
SAS Institute Inc.
Dataiku
Apple Inc.
Tesla
Databricks
DataRobot, Inc.
Recent Developments in the Market:
Global Self-supervised Learning Market Report Scope:
Historical Data: 2019-2020-2021
Base Year for Estimation: 2021
Forecast period: 2022-2029
Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered: Technology, End-User, Region
Regional Scope: North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By End-User:
Healthcare
BFSI
Automotive & Transportation
Software Development (IT)
Advertising & Media
Others
By Technology:
Natural Language Processing (NLP)
Computer Vision
Speech Processing
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World
List of tables and figures and dummy in nature, final lists may vary in the final deliverable
List of figures
List of tables and figures and dummy in nature, final lists may vary in the final deliverable