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機器學習即服務市場，按部署、最終用途（製造、零售、醫療保健和生命科學、電信、銀行、金融服務和保險等），按地區劃分——規模、份額、展望、機會分析，2022-2030 年
市場調查報告書
商品編碼
1213942

機器學習即服務市場，按部署、最終用途（製造、零售、醫療保健和生命科學、電信、銀行、金融服務和保險等），按地區劃分——規模、份額、展望、機會分析，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個工作天內

價格
簡介目錄

機器學習即服務是指將機器學習功能作為雲計算服務的一部分提供的各種類型的服務。 MLaaS 提供商提供各種機器學習工具，包括 API、預測分析、深度學習、數據可視化和自然語言處理。 MLaaS 幫助客戶獲得機器學習的好處，而無需增加構建內部機器學習團隊的成本、風險和時間。 Amazon、IBM 和Microsoft等許多雲計算服務提供商都提供機器學習即服務。 此外，MLaaS 以有限試用的形式提供，供開發人員在使用特定平台之前進行評估。 MLaaS 為企業帶來的一個關鍵好處是能夠快速開始機器學習，而無需安裝軟件的麻煩。 企業可以增強產品功能和服務，簡化正常的業務運營，促進消費者互動，並利用 AI 預測功能。

到 2030 年底，全球機器學習即服務市場的價值估計將達到 985.329 億美元。

市場動態

在 20 世紀，數據被視為新的石油。 出於這個原因，許多科技公司都在大力投資數據。 這些數據可以是結構化的或非結構化的。 對於這些公司來說，更深入地瞭解他們的數據對於提高效率和競爭力至關重要。 此外，許多公司正在採用機器學習作為一種服務，分析結構化和非結構化數據以預測未來並將其用於進一步的營銷。

此外，基於雲的數據繼續增長，Cisco Systems 預測 2015 年 65% 的數據基於雲，到 2020 年，基於雲的數據估計將達到 92% 左右。 隨著越來越多的公司喜歡雲計算，採用機器學習服務變得更加容易。 隨著越來越多的組織轉向機器學習，獲得機器學習服務變得越來越容易。 因此，大數據的利用和雲技術的日益使用有望在預測期內推動全球 MLaaS（機器學習即服務）市場的增長。

這項研究的主要特點

  • 本報告對全球機器學習即服務 (MLaaS) 市場進行了深入分析，揭示了以 2021 年為預測期 (2022-2030) 的市場規模和復合年增長率 (CAGR%)基準年。) 提供。
  • 它揭示了不同細分市場的潛在收入機會，並為市場勾畫出一個有吸引力的投資建議矩陣。
  • 它還提供關鍵見解，例如市場驅動因素、制約因素、機會、新產品發佈或批准、區域前景以及主要參與者採用的競爭戰略。
  • 根據監管狀況、公司概況、業務績效、產品組合、區域情況、分銷戰略、關鍵發展和戰略以及未來計劃等參數，全球機器學習即服務 (MLaaS) 市場的主要參與者創建輪廓。
  • 全球機器學習即服務 (MLaaS) 市場的主要參與者有 H2O.ai、Google Inc.、Predictron Labs Ltd、IBM Corporation、Ersatz Labs Inc、Microsoft Corporation、Yottamine Analytics、Amazon Web Services Inc、FICO , 和 BigML Inc.
  • 主要市場參與者正專注於新產品創新和發佈方面的戰略合作，以滿足消費者不斷增長的需求和要求。
  • 這份報告中的見解將使營銷人員和公司的高管能夠就未來的產品發佈、技術升級、市場擴張和營銷策略做出明智的決策。
  • 本研究報告面向該行業的各種利益相關者，包括投資者、供應商、分銷商、新進入者和金融分析師。
  • 利益相關者應通過用於分析全球機器學習即服務 (MLaaS) 市場的各種戰略矩陣來促進決策制定。

內容

第 1 章目的和先決條件

  • 調查目的
  • 先決條件
  • 縮寫說明

第二章市場展望

  • 報告內容
    • 市場定義和範圍
  • 執行摘要
    • 市場細分：按部署
    • 市場細分：按最終用途
    • 按地區劃分的市場細分
  • 連貫機會圖 (COM)

第3章市場動態、規律及趨勢分析

  • 市場動態
    • 司機
    • 約束因素
    • 市場機會
  • 監管場景
  • 行業趨勢
  • 併購
  • 新系統啟動/批准
  • COVID-19 大流行的影響

第 4 章機器學習即服務 (MLaaS) 全球市場部署，2017-2030

  • 公共雲
  • 私有雲/虛擬私有雲

第 5 章全球機器學習即服務 (MLaaS) 市場的最終用途，2017-2030

  • 製造業
  • 零售
  • 醫療保健與生命科學
  • 電信
  • 銀行、金融服務和保險 (BFSI)
  • 其他（能源與公用事業、政府、教育等）

第 6 章機器學習即服務 (MLaaS) 全球市場，按地區劃分，2017-2030

  • 北美
  • 美國（美國）
  • 加拿大
  • 歐洲
  • 英國
  • 德國
  • 法國
  • 意大利
  • 俄羅斯
  • 其他歐洲地區
  • 亞太地區
  • 中國
  • 印度
  • 日本
  • 東盟
  • 澳大利亞
  • 韓國
  • 其他亞太地區
  • 拉丁美洲
  • 巴西
  • 阿根廷
  • 墨西哥
  • 其他拉丁美洲地區
  • 中東和非洲
  • 南非
  • 海灣合作委員會國家
  • 其他中東和非洲地區

第七章競爭格局

  • 公司簡介
    • 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

  • 參考文獻
  • 調查方法
簡介目錄
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