Report Ocean published a recovery-based report for Machine Learning Market that provides crucial details on company opportunities, growth plans, trends, innovations, the competitive landscape in 2022, and the geographic outlook. Based on relevant market and regional segmentation, a thorough assessment of this worldwide market includes the historical analysis of this market (from 2023 to 2032) and develops reliable and approximative timeline estimations up to 2032.
The value of the machine learning market is expected to reach USD 23.46 Billion by 2023, expanding at a compound annual growth rate (CAGR) of 42.6% during 2018-2023.
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Machine learning the ability of computers to learn through experiences to improve their performance. Separate algorithms and human intervention are not required to train the computer. It merely learns from its past experiences and examples. In recent times, this market has gained utmost importance due to the increased availability of data and the need to process the data to obtain meaningful insights. North America has the most significant share of the machine learning market, while Asia-Pacific is expected to witness the highest CAGR.
The market can be classified into four primary segments based on components, service, organization size and application.
Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa.
Based on components the market can be segmented into software tools, cloud and web-based application programming interfaces (APIs) and others.
Based on service, the sub-segments are composed of professional services and managed services.
Based on organization size, the sub-segments include small and medium enterprises (SMEs) and large enterprises.
Based on application, the market is divided into the sub-segments, banking, financial services and insurance (BFSI), automotive, healthcare, government and others.
The trend of using machine learning techniques in the healthcare sector, financial sector and retail sector are widespread. The world is moving towards a connected business world to make data-powered decisions.
Key growth factors
A large amount of data that is generated by the industries provide an impetus to this market. Also, an increased usage of deep learning techniques in the various industries is also one of the reasons giving thrust to the market. A lot of research and development (R&D) is done to improve the efficiency of the output provided by the machine learning market.
Technological advancement, proliferation of data and the dire need to derive maximum information from the available data have been identified as the key reasons for the growth in this market.
Threats and key players
Although an enormous amount of money has been spent, there remains an uncertainty environing how the deep training net works. Also, professionals are not equipped with adequate machine learning skills in the market. Wrong program formulations would lead to biased results, leading to difficulty in analysis.
The inefficiency of the cloud infrastructures in the developing countries, which are needed to store and seamlessly access data, act as a hurdle to the growth in this market.
The key players are Google Inc., Microsoft, IBM Watson, Amazon, Baidu, Intel, Facebook, Apple Inc., and Uber.
What is covered in the report?
1. Overview of the machine learning market.
2. Market drivers and challenges in the machine learning market.
3. Market trends in the machine learning market.
4. Historical, current and forecasted market size data for the machine learning market.
5. Historical, current and forecasted market size data for the components segment (software tools, cloud and web-based APIs and others).
6. Historical, current and forecasted market size data for the service segment (professional services and managed services).
7. Historical, current and forecasted market size data for the organisation size segment (SMEs and large enterprises).
8. Historical, current and forecasted market size data for the application segment (BFSI, automotive, healthcare, government and others).
9. Historical, current and forecasted regional (North America, Europe, Asia-Pacific, Latin America, the Middle East & Africa) market size data for machine learning market.
10. Analysis of the global machine learning market by value chain.
11. Analysis of the competitive landscape and profiles of major competitors operating in the market.
Why buy?
1. Understand the demand for machine learning to determine the viability of the market.
2. Determine the developed and emerging markets for machine learning.
3. Identify the challenge areas and address them.
4. Develop strategies based on the drivers, trends and highlights for each of the segments.
5. Evaluate the value chain to determine the workflow.
6. Recognize the key competitors of this market and respond accordingly.
7. Knowledge of the initiatives and growth strategies taken by the major companies and decide on the direction of further growth.
The report further discusses the market opportunity, compound annual growth rate (CAGR) growth rate, competition, new technology innovations, market players analysis, government guidelines, export and import (EXIM) analysis, historical revenues, future forecasts etc. in the following regions and/or countries:
- North America (U.S. & Canada)
- Latin America (Brazil, Mexico, Argentina, Rest of Latin America)
- Europe (U.K., Germany, France, Italy, Spain, Hungary, Belgium, Netherlands & Luxembourg, NORDIC (Finland, Sweden, Norway, Denmark), Ireland, Switzerland, Austria, Poland, Turkey, Russia, Rest of Europe), Poland, Turkey, Russia, Rest of Europe)
- Asia-Pacific (China, India, Japan, South Korea, Singapore, Indonesia, Malaysia, Australia, New Zealand, Rest of Asia-Pacific)
- Middle East and Africa (Israel, GCC (Saudi Arabia, UAE, Bahrain, Kuwait, Qatar, Oman), North Africa, South Africa, Rest of Middle East and Africa)
List of Factors Covered in the Report are:
Major Strategic Developments: The report abides by quality and quantity. It covers the major strategic market developments, including R&D, M&A, agreements, new products launch, collaborations, partnerships, joint ventures, and geographical expansion, accompanied by a list of the prominent industry players thriving in the market on a national and international level.
Key Market Features:
Major subjects like revenue, capacity, price, rate, production rate, gross production, capacity utilization, consumption, cost, CAGR, import/export, supply/demand, market share, and gross margin are all assessed in the research and mentioned in the study. It also documents a thorough analysis of the most important market factors and their most recent developments, combined with the pertinent market segments and sub-segments.
List of Highlights & Approach
The report is made using a variety of efficient analytical methodologies that offers readers an in-depth research and evaluation on the leading market players and comprehensive insight on what place they are holding within the industry. Analytical techniques, such as Porter’s five forces analysis, feasibility studies, SWOT analyses, and ROI analyses, are put to use to examine the development of the major market players.
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