机器学习市场基于(主要区域、市场参与者、规模和份额)- 预测至 2031 年

  • Report Code : TIPTE100000804
  • Category : Technology, Media and Telecommunications
  • No. of Pages : 150
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机器学习市场规模预计将从 2023 年的 379.2 亿美元增至 2031 年的 4253.7 亿美元。预计 2023-2031 年的复合年增长率为 35.2%。机器智能的不断整合和医疗保健领域的应用不断增加可能仍是机器学习市场的主要趋势。

机器学习市场分析

计算机科学和人工智能的一个分支领域被称为机器学习。为了提高准确性,它专注于数据和算法。使计算机能够从历史数据中学习的技术称为机器学习。机器学习中使用的算法采用多种技术从历史数据中提取知识。数量和历史数据与信息或数据准确性直接相关,这种关系有助于开发更准确的预测未来数据的模型。

机器学习市场概览

由于技术的发展,机器学习是一种新兴技术,并且每天都在扩展。根据组织需求,使用机器学习处理大量数据。人类无法处理大量数据;因此需要计算机系统进行数据分析和管理。机器学习就是这样一种工具。企业内部对管理复杂数据和操作的技术解决方案的需求预计将推动机器学习市场的发展。

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机器学习市场:

Machine Learning Market
  • 获取此报告的关键市场趋势。
    这个免费样品将包括数据分析,从市场趋势到估计和预测。

机器学习市场驱动因素和机遇

机器智能与分析解决方案的融合日益紧密,市场前景看好

过去几年,零售分析学科取得了长足发展。通过利用尖端的数据分析工具,阿里巴巴、eBay 和亚马逊等众多电子商务公司提高了收入并提升了客户满意度。语音和语音识别技术的研究和开发促成了基于 ML 的认知语音编码技术的出现。

医疗保健领域应用增多,市场前景看好

医疗保健行业的众多应用已经使用了 ML 技术。该平台评估了该行业垂直领域的数百万个独特数据点,预测结果,并提供精确的资源分配和快速的风险评分。

诊断和识别难以诊断的疾病是该技术在医疗行业最重要的用途之一。这可能包括几种早期难以识别的遗传性疾病和癌症。IBM Watson Genomics 就是一个著名的例子,它展示了基于基因组的肿瘤测序与认知计算相结合如何有助于癌症检测。

机器学习市场报告细分分析

有助于得出机器学习市场分析的关键部分是服务和垂直部分。

  • 根据服务,机器学习市场分为人力资源、电子商务、财务和会计、客户服务、销售和营销等。预计人力资源部门将在预测期内增长。
  • 按垂直行业划分,市场分为 BFSI、电信和 IT、医疗保健、汽车、制造、食品和饮料、电力和能源、消费电子产品等。BFSI 细分市场预计在预测期内将实现增长。BFSI, telecom & IT, healthcare, automotive, manufacturing, food and beverage, power & energy, consumer electronics, and others. The BFSI segment is anticipated to grow in the forecast period.

机器学习市场份额按地区分析

机器学习市场报告的地理范围主要分为五个区域:北美、亚太地区、欧洲、中东和非洲以及南美/南美和中美洲。北美在机器学习市场占据主导地位。北美地区各个行业的高科技采用趋势推动了机器学习市场的增长。数字化采用率的提高和政府机构的高技术支出等因素预计将推动北美机器学习市场的增长。此外,美国和加拿大等发达经济体高度重视研发,迫使北美参与者将技术先进的解决方案推向市场。此外,美国有许多机器学习市场参与者,他们越来越注重开发创新解决方案。所有这些因素都促进了该地区机器学习市场的增长。

 

机器学习市场区域洞察

Insight Partners 的分析师详细解释了预测期内影响机器学习市场的区域趋势和因素。本节还讨论了北美、欧洲、亚太地区、中东和非洲以及南美和中美洲的机器学习市场细分和地理位置。

Machine Learning Market
  • 获取机器学习市场的区域特定数据

机器学习市场报告范围

报告属性细节
2023 年的市场规模379.2亿美元
2031 年市场规模4253.7亿美元
全球复合年增长率(2023 - 2031)35.2%
史料2021-2022
预测期2024-2031
涵盖的领域按服务
  • 人力资源
  • 电子商务
  • 金融
  • 会计
  • 客户服务、销售与营销
按垂直
  • 金融保险业协会
  • 电信和 IT
  • 卫生保健
  • 汽车
  • 制造业
  • 食物
  • 饮料
  • 电力与能源
  • 消费电子产品
覆盖地区和国家北美
  • 我们
  • 加拿大
  • 墨西哥
欧洲
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 意大利
  • 欧洲其他地区
亚太
  • 中国
  • 印度
  • 日本
  • 澳大利亚
  • 亚太其他地区
南美洲和中美洲
  • 巴西
  • 阿根廷
  • 南美洲和中美洲其他地区
中东和非洲
  • 南非
  • 沙特阿拉伯
  • 阿联酋
  • 中东和非洲其他地区
市场领导者和主要公司简介
  • 亚马逊网络服务公司
  • 费埃哲
  • 谷歌
  • 惠普企业发展有限公司
  • IBM
  • 微软
  • 树液
  • BigML 公司
  • H2O.ai。
  • SAS 研究所

 

机器学习市场参与者密度:了解其对业务动态的影响

机器学习市场正在快速增长,这得益于终端用户需求的不断增长,而这些需求又源于消费者偏好的不断变化、技术进步以及对产品优势的认识不断提高等因素。随着需求的增加,企业正在扩大其产品范围,进行创新以满足消费者的需求,并利用新兴趋势,从而进一步推动市场增长。

市场参与者密度是指在特定市场或行业内运营的企业或公司的分布情况。它表明在给定市场空间中,相对于其规模或总市场价值,有多少竞争对手(市场参与者)存在。

在机器学习市场运营的主要公司有:

  1. 亚马逊网络服务公司
  2. 费埃哲
  3. 谷歌
  4. 惠普企业发展有限公司
  5. IBM
  6. 微软

免责声明上面列出的公司没有按照任何特定顺序排列。


Machine Learning Market

 

  • 了解机器学习市场顶级关键参与者概况

机器学习市场新闻和最新发展

机器学习市场通过收集一手和二手研究后的定性和定量数据进行评估,其中包括重要的公司出版物、协会数据和数据库。以下是市场发展列表:

  • 2024 年 2 月,领先的算法交易公司之一 XTX Markets 很高兴地宣布推出 XTY Labs,这是一个新的机器学习部门,由新任命的研究主任 Atlas Wang 博士领导。

(来源:XTX Markets,新闻稿,2024 年)

  • 2024 年 4 月,使用隐私优先解决方案为程序化广告商提供可衡量价值的机器学习先驱之一 AdTheorent Holding Company, Inc. 和专注于旅游业的战略营销公司 Miles Partnership 公布了 VISIT FLORIDA Sun Seekers 数字广告活动的成果。

(来源:AdTheorent Holding Company, Inc,新闻稿,2022 年)

机器学习市场报告覆盖范围和交付成果

“机器学习市场规模和预测(2021-2031)”报告对以下领域进行了详细的市场分析:

  • 范围内涵盖的所有主要细分市场的全球、区域和国家层面的市场规模和预测。
  • 市场动态,如驱动因素、限制因素和关键机遇
  • 未来的主要趋势
  • 详细的 PEST/波特五力分析和 SWOT 分析
  • 全球和区域市场分析涵盖主要市场趋势、主要参与者、法规和最新的市场发展。
  • 行业格局和竞争分析,包括市场集中度、热图分析、知名参与者和最新发展。
  • 详细的公司简介
  • 历史分析(2 年)、基准年、预测(7 年)及复合年增长率
  • PEST 和 SWOT 分析
  • 市场规模价值/数量 - 全球、区域、国家
  • 行业和竞争格局
  • Excel 数据集
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

常见问题


What will be the market size for the global machine learning market by 2031?

The global machine learning market is expected to reach US$ 425.37 billion by 2031.

Which are the key players holding the major market share of the machine learning market?

The key players holding majority shares in the global machine learning market are Amazon Web Services, Inc., FICO, Google, Hewlett Packard Enterprise Development LP, IBM, Microsoft, SAP, BigML, Inc., H2O.ai., SAS Institute Inc

What are the opportunities of the global machine learning market?

Increasing applications in the healthcare sector are anticipated to play a significant role in the global machine-learning market in the coming years.

What are the driving factors impacting the global machine-learning market?

Increasing integration of machine intelligence and increasing applications in the healthcare sector are the major factors that propel the global machine learning market growth.

What is the estimated market size for the global machine learning market in 2023?

The global machine learning market was estimated to be US$ 37.92 billion in 2023 and is expected to grow at a CAGR of 35.2% during the forecast period 2024 - 2031.

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machine-learning-market-cagr

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.