Regardless of a company’s size or income, the most recent research report from Quadintel offers a thorough analysis of the global Self-supervised Learning Market for the years 2023–2030.
The global market report provides statistics and information on the evolution of the investment structure, technological advancements, industry trends and developments, market players’ capabilities, and in-depth details on the major market players. The analysis also includes a summary of the global market strategies that have been implemented in light of the industry’s present and future conditions.
An overview of the Self-supervised Learning Market, the current state of the industry, market trends, significant market participants, product type, application, and geography are provided at the beginning of the study. It also covers how COVID-19 has affected market participants, end-user industries, future predictions, growth potential, and worldwide market trends.
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Market Overview:
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.
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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:
In February 2022, IBM broadcasted that the company acquire Neudesic, under its hybrid cloud and AI strategy. Neudesic adds expertise in data engineering, data analytics, and deep Azure cloud. The aim of this acquisition is to strengthen its cloud service skills and capabilities to fulfill the client’s demands.
In January 2022, Meta AI declared the launch of data2vec-a self-supervised learning algorithm that works for text, vision, and speech. This algorithm is designed to outperform previous algorithms for speech and computer vision.
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.
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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
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Report Include:
- Market Behavior/ Level of Risk and Opportunity
- End Industry Behavior/ Opportunity Assessment
- Expected Industry Recovery Timeline
Key Market Features in Global Market: The report assessed key market features, including revenue, capacity, price, capacity utilization rate, production rate, gross, production, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. The study also offers a thorough analysis of the most important market factors and their most recent developments, as well as pertinent market segments and sub-segments.
In this report, the following important queries are addressed:
- What is the Global market’s sales value, production value, consumption value, import, and export (including North America, Europe, Asia-Pacific, South America, Middle East, and Africa)?
- Who are the major manufacturers in this sector on a global scale? How are their capacity, production, sales, pricing, cost, gross, and revenue operating?
- What are the vendors’ market prospects and risks in the international industry?
- Which product types, end users, or applications might be looking for additional growth prospects? What is each type’s and application’s market share?
- What specific strategies and limitations are keeping the market in check?
- What is the various marketing, sales, and distribution channels in the international market?
- What are the upstream raw materials, as well as the manufacturing machinery?
- What are the market opportunities, market risk, and market overview of this industry?
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