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机器学习即服务市场，按部署、最终用途（製造、零售、医疗保健和生命科学、电信、银行、金融服务和保险等），按地区划分——规模、份额、展望、机会分析，2022-2030 年
市场调查报告书
商品编码
1213942

机器学习即服务市场，按部署、最终用途（製造、零售、医疗保健和生命科学、电信、银行、金融服务和保险等），按地区划分——规模、份额、展望、机会分析，2022-2030 年

Machine Learning as a Service Market, By Deployment By End-use Application (Manufacturing, Retail, Healthcare & Life Sciences, Telecom, Banking, Financial services & Insurance, Others, By Region-Size, Share, Outlook, & Opportunity Analysis, 2022-2030
出版日期: | 出版商: Coherent Market Insights | 英文 130 Pages | 商品交期: 2-3个工作天内

价格
简介目录

机器学习即服务是指将机器学习功能作为云计算服务的一部分提供的各种类型的服务。 MLaaS 提供商提供各种机器学习工具，包括 API、预测分析、深度学习、数据可视化和自然语言处理。 MLaaS 帮助客户获得机器学习的好处，而无需增加构建内部机器学习团队的成本、风险和时间。 Amazon、IBM 和Microsoft等许多云计算服务提供商都提供机器学习即服务。 此外，MLaaS 以有限试用的形式提供，供开发人员在使用特定平台之前进行评估。 MLaaS 为企业带来的一个关键好处是能够快速开始机器学习，而无需安装软件的麻烦。 企业可以增强产品功能和服务，简化正常的业务运营，促进消费者互动，并利用 AI 预测功能。

到 2030 年底，全球机器学习即服务市场的价值估计将达到 985.329 亿美元。

市场动态

在 20 世纪，数据被视为新的石油。 出于这个原因，许多科技公司都在大力投资数据。 这些数据可以是结构化的或非结构化的。 对于这些公司来说，更深入地瞭解他们的数据对于提高效率和竞争力至关重要。 此外，许多公司正在采用机器学习作为一种服务，分析结构化和非结构化数据以预测未来并将其用于进一步的营销。

此外，基于云的数据继续增长，Cisco Systems 预测 2015 年 65% 的数据基于云，到 2020 年，基于云的数据估计将达到 92% 左右。 随着越来越多的公司喜欢云计算，采用机器学习服务变得更加容易。 随着越来越多的组织转向机器学习，获得机器学习服务变得越来越容易。 因此，大数据的利用和云技术的日益使用有望在预测期内推动全球 MLaaS（机器学习即服务）市场的增长。

这项研究的主要特点

  • 本报告对全球机器学习即服务 (MLaaS) 市场进行了深入分析，揭示了以 2021 年为预测期 (2022-2030) 的市场规模和復合年增长率 (CAGR%)基准年。) 提供。
  • 它揭示了不同细分市场的潜在收入机会，并为市场勾画出一个有吸引力的投资建议矩阵。
  • 它还提供关键见解，例如市场驱动因素、制约因素、机会、新产品发布或批准、区域前景以及主要参与者采用的竞争战略。
  • 根据监管状况、公司概况、业务绩效、产品组合、区域情况、分销战略、关键发展和战略以及未来计划等参数，全球机器学习即服务 (MLaaS) 市场的主要参与者创建轮廓。
  • 全球机器学习即服务 (MLaaS) 市场的主要参与者有 H2O.ai、Google Inc.、Predictron Labs Ltd、IBM Corporation、Ersatz Labs Inc、Microsoft Corporation、Yottamine Analytics、Amazon Web Services Inc、FICO , 和 BigML Inc.
  • 主要市场参与者正专注于新产品创新和发布方面的战略合作，以满足消费者不断增长的需求和要求。
  • 这份报告中的见解将使营销人员和公司的高管能够就未来的产品发布、技术升级、市场扩张和营销策略做出明智的决策。
  • 本研究报告面向该行业的各种利益相关者，包括投资者、供应商、分销商、新进入者和金融分析师。
  • 利益相关者应通过用于分析全球机器学习即服务 (MLaaS) 市场的各种战略矩阵来促进决策制定。

内容

第 1 章目的和先决条件

  • 调查目的
  • 先决条件
  • 缩写说明

第二章市场展望

  • 报告内容
    • 市场定义和范围
  • 执行摘要
    • 市场细分：按部署
    • 市场细分：按最终用途
    • 按地区划分的市场细分
  • 连贯机会图 (COM)

第3章市场动态、规律及趋势分析

  • 市场动态
    • 司机
    • 约束因素
    • 市场机会
  • 监管场景
  • 行业趋势
  • 併购
  • 新系统启动/批准
  • COVID-19 大流行的影响

第 4 章机器学习即服务 (MLaaS) 全球市场部署，2017-2030

  • 公共云
  • 私有云/虚拟私有云

第 5 章全球机器学习即服务 (MLaaS) 市场的最终用途，2017-2030

  • 製造业
  • 零售
  • 医疗保健与生命科学
  • 电信
  • 银行、金融服务和保险 (BFSI)
  • 其他（能源与公用事业、政府、教育等）

第 6 章机器学习即服务 (MLaaS) 全球市场，按地区划分，2017-2030

  • 北美
  • 美国（美国）
  • 加拿大
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 意大利
  • 俄罗斯
  • 其他欧洲地区
  • 亚太地区
  • 中国
  • 印度
  • 日本
  • 东盟
  • 澳大利亚
  • 韩国
  • 其他亚太地区
  • 拉丁美洲
  • 巴西
  • 阿根廷
  • 墨西哥
  • 其他拉丁美洲地区
  • 中东和非洲
  • 南非
  • 海湾合作委员会国家
  • 其他中东和非洲地区

第七章竞争格局

  • 公司简介
    • H2O.ai.
    • Google Inc.
    • Predictron Labs Ltd
    • IBM Corporation
    • Ersatz Labs Inc.
    • Microsoft Corporation
    • Yottamine Analytics
    • Amazon Web Services Inc.
    • FICO
    • BigML Inc.

第 8 章

  • 参考文献
  • 调查方法
简介目录
Product Code: CMI3718

Machine learning as-a-service refers to various types of services that offer machine learning abilities as a part of cloud-computing services. MLaaS providers offer various machine learning tools including API, predictive analytics, deep learning, data visualization, natural language processing, etc. MLaaS assists its customers to gain advantage from machine learning without additional cost, risk, and time for creating an in-house internal machine learning team. A number of cloud computing service providers offer machine learning as a service including Amazon, IBM Corporation, and Microsoft Corporation. Moreover, MLaaS is offered on a limited trial basis for a developer to evaluate before committing to a particular platform. The major advantage that MLaaS offers to businesses is that it enables them to get started quickly with machine learning without undergoing tedious software installation processes. Companies can enhance their product capabilities and offerings, enhance regular business operation efficiency, make interaction with consumers easier, and use AI prediction capabilities.

The Global Machine Learning as a Service Market is estimated to account for US$ 98,532.9 Mn in terms of value by the end of 2030.

Market Dynamics

In the 20th century, data is considered the new oil. Due to this many technology companies are heavily investing in data. These data may be in structured and unstructured forms. It has become extremely crucial for these organizations to get a better insight into their data, in order to enhance efficiency and competitiveness. Moreover, many organizations are increasingly adopting machine learning as a service to analyze both structured and unstructured data for future predictions and also use it for further marketing purposes.

Moreover, cloud-based data in continuously growing Cisco system Inc., anticipated in 2015, 65% of data was cloud-based hoverer it is estimated that cloud-based data will reach around 92% by 2020. As more and more companies are preferring cloud computing, it has become easy for them to adopt machine learning services. Moreover, as an ever-increasing number of organizations are leaning toward machine learning, it has gotten simple for them to receive machine learning services. Thus the use of big data and the increasing use of cloud technology are expected to drive the growth of the global machine learning as a service (MLaaS) market during the forecast period.

Key features of the study:

  • This report provides an in-depth analysis of the global machine learning as a service (MLaaS) market and provides market size (US$ million) and compound annual growth rate (CAGR %) for the forecast period (2022-2030), considering 2021 as the base year.
  • It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrix for this market
  • This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, regional outlook, and competitive strategy adopted by leading players
  • It profiles leading players in the global machine learning as a service (MLaaS) market based on the following parameters - regulatory landscape, company overview, financial performance, product portfolio, geographical presence, distribution strategies, key developments and strategies, and future plans
  • Key companies covered in the global machine learning as a service (MLaaS) market are H2O.ai, Google Inc., Predictron Labs Ltd, IBM Corporation, Ersatz Labs Inc., Microsoft Corporation, Yottamine Analytics, Amazon Web Services Inc., FICO, and BigML Inc.
  • The key market players are focusing on strategic collaborations to innovate and launch new products to meet the increasing needs and requirements of consumers.
  • Insights from this report would allow marketers and management authorities of companies to make informed decision regarding future product launches, technology upgradation, market expansion, and marketing tactics
  • The global machine learning as a service (MLaaS) market report caters to various stakeholders in this industry including investors, suppliers, distributors, new entrants, and financial analysts
  • Stakeholders would have ease in decision-making through the various strategy matrices used in analyzing the global machine learning as a service (MLaaS) market.

Detailed Segmentation

  • Global Machine Learning as a Service (MLaaS) Market, By Deployment:
    • Public Cloud
    • Private Cloud/Virtual Private Cloud
  • Global Machine Learning as a Service (MLaaS) Market, By End-use Application:
    • Manufacturing
    • Retail
    • Healthcare & Life Sciences
    • Telecom
    • Banking, Financial services and Insurance (BFSI)
    • Others (Energy & Utilities, Government, Education, etc.)
  • Global Machine Learning as a Service (MLaaS) Market, By Region:
    • North America
    • Europe
    • Asia Pacific
    • Latin America
    • Middle East and Africa
  • Company Profiles
    • H2O.ai*
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments
    • Google Inc.
    • Predictron Labs Ltd
    • IBM Corporation
    • Ersatz Labs Inc.
    • Microsoft Corporation
    • Yottamine Analytics
    • Amazon Web Services Inc.
    • FICO
    • BigML Inc.

"*" marked represents similar segmentation in other categories in the respective section.

Table of Contents

1. Research Objectives and Assumptions

  • Research Objectives
  • Assumptions
  • Abbreviations

2. Market Purview

  • Report Description
    • Market Definition and Scope
  • Executive Summary
    • Market Snippet, By Deployment
    • Market Snippet, By End-use Application
    • Market Snippet, By Region
  • Coherent Opportunity Map (COM)

3. Market Dynamics, Regulations, and Trends Analysis

  • Market Dynamics
    • Drivers
    • Restraints
    • Market Opportunities
  • Regulatory Scenario
  • Industry Trend
  • Merger and Acquisitions
  • New system Launch/Approvals
  • Impact of COVID-19 Pandemic

4. Global Machine Learning as a Service (MLaaS) Market, By Deployment, 2017-2030 (US$ Million)

  • Introduction
    • Market Share Analysis, 2022 and 2030 (%)
    • Segment Trends
  • Public Cloud
    • Introduction
    • Market Size and Forecast, 2017-2030, (US$ Million)
  • Private Cloud/Virtual Private Cloud
    • Introduction
    • Market Size and Forecast, 2017-2030, (US$ Million)

5. Global Machine Learning as a Service (MLaaS) Market, By End-use Application, 2017-2030 (US$ Million)

  • Introduction
    • Market Share Analysis, 2022 and 2030 (%)
    • Segment Trends
  • Manufacturing
    • Introduction
    • Market Size and Forecast, 2017-2030, (US$ Million)
  • Retail
    • Introduction
    • Market Size and Forecast, 2017-2030, (US$ Million)
  • Healthcare & Life Sciences
    • Introduction
    • Market Size and Forecast, 2017-2030, (US$ Million)
  • Telecom
    • Introduction
    • Market Size and Forecast, 2017-2030, (US$ Million)
  • Banking, Financial services and Insurance (BFSI)
    • Introduction
    • Market Size and Forecast, 2017-2030, (US$ Million)
  • Others (Energy & Utilities, Government, Education etc.)
    • Introduction
    • Market Size and Forecast, 2017-2030, (US$ Million)

6. Global Machine Learning as a Service (MLaaS) Market, By Region, 2017-2030 (US$ Million)

  • Introduction
    • Market Share Analysis, By Region, 2022 and 2030 (%)
  • North America
    • Regional Trends
    • Market Size and Forecast, By Deployment, 2017-2030 (US$ Million)
    • Market Size and Forecast, By End-use Application, 2017-2030 (US$ Million)
    • Market Share Analysis, By Country, 2022 and 2030 (%)
  • U.S.
  • Canada
  • Europe
    • Regional Trends
    • Market Size and Forecast, By Deployment, 2017-2030 (US$ Million)
    • Market Size and Forecast, By End-use Application, 2017-2030 (US$ Million)
    • Market Share Analysis, By Country, 2022 and 2030 (%)
  • U.K.
  • Germany
  • France
  • Italy
  • Russia
  • Rest of Europe
  • Asia Pacific
    • Regional Trends
    • Market Size and Forecast, By Deployment, 2017-2030 (US$ Million)
    • Market Size and Forecast, By End-use Application, 2017-2030 (US$ Million)
    • Market Share Analysis, By Country, 2022 and 2030 (%)
  • China
  • India
  • Japan
  • ASEAN
  • Australia
  • South Korea
  • Rest of Asia Pacific
  • Latin America
    • Regional Trends
    • Market Size and Forecast, By Deployment, 2017-2030 (US$ Million)
    • Market Size and Forecast, By End-use Application, 2017-2030 (US$ Million)
    • Market Share Analysis, By Country, 2022 and 2030 (%)
  • Brazil
  • Argentina
  • Mexico
  • Rest of Latin America
  • Middle East and Africa
    • Market Size and Forecast, By Deployment, 2017-2030 (US$ Million)
    • Market Size and Forecast, By End-use Application, 2017-2030 (US$ Million)
    • Market Share Analysis, By Country, 2022 and 2030 (%)
  • South Africa
  • GCC Countries
  • Rest of the Middle East and Africa

7. Competitive Landscape

  • Company Profiles
    • H2O.ai.
  • Company Overview
  • Product Portfolio
  • Financial Performance
  • Key Strategies
  • Recent Developments/Updates
    • Google Inc.
  • Company Overview
  • Product Portfolio
  • Financial Performance
  • Key Strategies
  • Recent Developments/Updates
    • Predictron Labs Ltd
  • Company Overview
  • Product Portfolio
  • Financial Performance
  • Key Strategies
  • Recent Developments/Updates
    • IBM Corporation
  • Company Overview
  • Product Portfolio
  • Financial Performance
  • Key Strategies
  • Recent Developments/Updates
    • Ersatz Labs Inc.
  • Company Overview
  • Product Portfolio
  • Financial Performance
  • Key Strategies
  • Recent Developments/Updates
    • Microsoft Corporation
  • Company Overview
  • Product Portfolio
  • Financial Performance
  • Key Strategies
  • Recent Developments/Updates
    • Yottamine Analytics
  • Company Overview
  • Product Portfolio
  • Financial Performance
  • Key Strategies
  • Recent Developments/Updates
    • Amazon Web Services Inc.
  • Company Overview
  • Product Portfolio
  • Financial Performance
  • Key Strategies
  • Recent Developments/Updates
    • FICO
  • Company Overview
  • Product Portfolio
  • Financial Performance
  • Key Strategies
  • Recent Developments/Updates
    • BigML Inc.
  • Company Overview
  • Product Portfolio
  • Financial Performance
  • Key Strategies
  • Recent Developments/Updates
  • Analyst Views

8. Section

  • References
  • Research Methodology
  • About us and Sales Contact