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レポート概要
| Transparency Market Research社の本調査レポートは、世界のサービスとしての機械学習（MLaaS）市場について調査・分析し、序論、仮定・調査手法、エグゼクティブサマリー、市場概要、市場分析・予測、コンポーネント別（ソフトウェアツール、サービス）分析、用途別分析、企業規模別分析、エンドユーザー別分析、地域別（北米、ヨーロッパ、アジア太平洋、中東・アフリカ、南米）分析、競争状況、企業情報などの項目を掲載しています。 ・序論 ・仮定・調査手法 ・エグゼクティブサマリー ・市場概要 ・市場分析・予測 ・世界のサービスとしての機械学習（MLaaS）市場規模：コンポーネント別（ソフトウェアツール、サービス） ・世界のサービスとしての機械学習（MLaaS）市場規模：用途別 ・世界のサービスとしての機械学習（MLaaS）市場規模：企業規模別 ・世界のサービスとしての機械学習（MLaaS）市場規模：エンドユーザー別 ・世界のサービスとしての機械学習（MLaaS）市場規模：地域別（北米、ヨーロッパ、アジア太平洋、中東・アフリカ、南米） ・競争状況 ・企業情報 |
Machine Learning as a Service Market – Scope of Report
A latest study collated and published by Transparency Market Research (TMR) analyzes the historical and present-day scenario of the global machine learning as a service market to accurately gauge its potential future development. The study presents detailed information about the important growth factors, restraints, and key trends that are creating the landscape for the future growth of the machine learning as a service market, to identify the opportunistic avenues of the business potential for stakeholders. The report also provides insightful information about how the machine learning as a service market is expected to progress during the forecast period, 2021-2031.
The report offers intricate dynamics about the different aspects of the machine learning as a service market that aids companies operating in the market in making strategic development decisions. TMR’s study elaborates on the significant changes that are highly anticipated to configure the growth of the machine learning as a service market during the forecast period. It also includes a key indicator assessment to highlight the growth prospects of the machine learning as a service market, and estimate statistics related to the market progress in terms of value (US$ Bn). The study covers a detailed segmentation of the machine learning as a service market, along with country analysis, key information, and a competitive outlook. The report mentions the company profiles of key players that are currently dominating the machine learning as a service market, wherein various developments, expansion, and winning strategies practiced and executed by leading players have been presented in detail.
Key Questions Answered in TMR’s Report on Machine Learning as a Service Market
The report provides detailed information about the machine learning as a service market on the basis of a comprehensive research on various factors that play a key role in accelerating the growth potential of the market. Information mentioned in the report answers path-breaking questions for companies that are currently functioning in the market and are looking for innovative ways to create a unique benchmark in the machine learning as a service market, so as to help them make successful strategies and take target-driven decisions.
Which regions will continue to remain the most profitable regional markets for machine learning as a service market players?
Which factors will induce a change in demand for machine learning as a service during the assessment period?
How will changing trends impact the machine learning as a service market?
How will COVID-19 impact the machine learning as a service market?
How can market players capture low-hanging opportunities in the machine learning as a service market in developed regions?
Which companies are leading the machine learning as a service market?
What are the winning strategies of stakeholders in the machine learning as a service market to upscale their position in this landscape?
What will be the Y-o-Y growth of the machine learning as a service market between 2021 and 2031?
What are the winning imperatives of market frontrunners in the machine learning as a service market?
Research Methodology – Machine Learning as a Service Market
The research methodology adopted by analysts to compile the machine learning as a service market report is based on detailed primary as well as secondary research. With the help of in-depth insights of the industry-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts of the machine learning as a service market.
During the primary research phase, analysts interviewed industry stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. On the basis of data obtained through the interviews of genuine resources, analysts have emphasized the changing scenario of the machine learning as a service market.
For secondary research, analysts scrutinized numerous annual report publications, white papers, industry association publications, and company websites to obtain the necessary understanding of the machine learning as a service market.
レポート目次1. Preface
1.1. Market Introduction
1.2. Market Segmentation
1.3. Key Research Objectives
2. Assumptions and Research Methodology
2.1. Research Methodology
2.1.1. List of Primary and Secondary Sources
2.2. Key Assumptions for Data Modelling
3. Executive Summary: Global Machine Learning as a Service Market
4. Market Overview
4.1. Market Definition
4.2. Technology/ Product Roadmap
4.3. Market Factor Analysis
4.3.1. Forecast Factors
4.3.2. Ecosystem/ Value Chain Analysis
4.3.3. Market Dynamics (Growth Influencers)
4.3.3.1. Drivers
4.3.3.2. Restraints
4.3.3.3. Opportunities
4.3.3.4. Impact Analysis of Drivers and Restraints
4.4. COVID-19 Impact Analysis
4.4.1. Impact of COVID-19 on the Machine Learning as a Service Market
4.4.2. End-user Sentiment Analysis: Comparative Analysis on Spending
4.4.2.1. Increase in Spending
4.4.2.2. Decrease in Spending
4.4.3. Short Term and Long Term Impact on the Market
4.5. Market Opportunity Assessment – by Region (North America/ Europe/ Asia Pacific/ Middle East & Africa/ South America)
4.5.1. By Component
4.5.2. By Application
4.5.3. By Enterprise Size
4.5.4. By End-user
5. Global Machine Learning as a Service Market Analysis and Forecast
5.1. Market Revenue Analysis (US$ Bn), 2016-2031
5.1.1. Historic Growth Trends, 2016-2020
5.1.2. Forecast Trends, 2021-2031
5.2. Pricing Model Analysis/ Price Trend Analysis
6. Global Machine Learning as a Service Market Analysis, by Component
6.1. Overview and Definitions
6.2. Key Segment Analysis
6.3. Machine Learning as a Service Market Size (US$ Bn) Forecast, by Component, 2018 – 2031
6.3.1. Software Tools
6.3.2. Services
7. Global Machine Learning as a Service Market Analysis, by Application
7.1. Overview and Definitions
7.2. Key Segment Analysis
7.3. Machine Learning as a Service Market Size (US$ Bn) Forecast, by Application, 2018 – 2031
7.3.1. Marketing and Advertisement
7.3.2. Predictive Maintenance
7.3.3. Automated Network Management
7.3.4. Fraud Detection and Risk Analytics
7.3.5. Others
8. Global Machine Learning as a Service Market Analysis, by Enterprise Size
8.1. Overview and Definitions
8.2. Key Segment Analysis
8.3. Machine Learning as a Service Market Size (US$ Bn) Forecast, by Enterprise Size, 2018 – 2031
8.3.1. Small & Medium Enterprises
8.3.2. Large Enterprises
9. Global Machine Learning as a Service Market Analysis, by End-user
9.1. Overview and Definitions
9.2. Key Segment Analysis
9.3. Machine Learning as a Service Market Size (US$ Bn) Forecast, by End-user, 2018 – 2031
9.3.1. BFSI
9.3.2. IT and Telecom
9.3.3. Automotive
9.3.4. Healthcare
9.3.5. Aerospace and Defense
9.3.6. Retail
9.3.7. Government
9.3.8. Others
10. Global Machine Learning as a Service Market Analysis and Forecasts, by Region
10.1. Key Findings
10.2. Market Size (US$ Bn) Forecast by Region, 2018-2031
10.2.1. North America
10.2.2. Europe
10.2.3. Asia Pacific
10.2.4. Middle East & Africa
10.2.5. South America
11. North America Machine Learning as a Service Market Analysis and Forecast
11.1. Regional Outlook
11.2. Machine Learning as a Service Market Size (US$ Bn) Analysis and Forecast (2018 – 2031)
11.2.1. By Component
11.2.2. By Application
11.2.3. By Enterprise Size
11.2.4. By End-user
11.3. Machine Learning as a Service Market Size (US$ Bn) Forecast, by Country, 2018 – 2031
11.3.1. U.S.
11.3.2. Canada
11.3.3. Mexico
12. Europe Machine Learning as a Service Market Analysis and Forecast
12.1. Regional Outlook
12.2. Machine Learning as a Service Market Size (US$ Bn) Analysis and Forecast (2018 – 2031)
12.2.1. By Component
12.2.2. By Application
12.2.3. By Enterprise Size
12.2.4. By End-user
12.3. Machine Learning as a Service Market Size (US$ Bn) Forecast, by Country & Sub-region, 2018 – 2031
12.3.1. Germany
12.3.2. UK
12.3.3. France
12.3.4. Italy
12.3.5. Spain
12.3.6. Rest of Europe
13. Asia Pacific Machine Learning as a Service Market Analysis and Forecast
13.1. Regional Outlook
13.2. Machine Learning as a Service Market Size (US$ Bn) Analysis and Forecast (2018 – 2031)
13.2.1. By Component
13.2.2. By Application
13.2.3. By Enterprise Size
13.2.4. By End-user
13.3. Machine Learning as a Service Market Size (US$ Bn) Forecast, by Country & Sub-region, 2018 – 2031
13.3.1. China
13.3.2. India
13.3.3. Japan
13.3.4. ASEAN
13.3.5. Rest of Asia Pacific
14. Middle East & Africa Machine Learning as a Service Market Analysis and Forecast
14.1. Regional Outlook
14.2. Machine Learning as a Service Market Size (US$ Bn) Analysis and Forecast (2018 – 2031)
14.2.1. By Component
14.2.2. By Application
14.2.3. By Enterprise Size
14.2.4. By End-user
14.3. Machine Learning as a Service Market Size (US$ Bn) Forecast, by Country & Sub-region, 2018 – 2031
14.3.1. Saudi Arabia
14.3.2. The United Arab Emirates
14.3.3. South Africa
14.3.4. Rest of Middle East & Africa
15. South America Machine Learning as a Service Market Analysis and Forecast
15.1. Regional Outlook
15.2. Machine Learning as a Service Market Size (US$ Bn) Analysis and Forecast (2018 – 2031)
15.2.1. By Component
15.2.2. By Application
15.2.3. By Enterprise Size
15.2.4. By End-user
15.3. Machine Learning as a Service Market Size (US$ Bn) Forecast, by Country & Sub-region, 2018 – 2031
15.3.1. Brazil
15.3.2. Argentina
15.3.3. Rest of South America
16. Competition Landscape
16.1. Market Competition Matrix, by Leading Players
16.2. Market Revenue Share Analysis (%), by Leading Players (2020)
16.3. Competitive Scenario
16.3.1. List of Emerging, Prominent and Leading Players
16.3.2. Major Mergers & Acquisitions, Expansions, Partnership, Contacts, Deals, etc.
17. Company Profiles
17.1. Amazon Web Services
17.1.1. Business Overview
17.1.2. Company Revenue
17.1.3. Product Portfolio
17.1.4. Geographic Footprint
17.1.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
17.2. BigMl Inc.
17.2.1. Business Overview
17.2.2. Company Revenue
17.2.3. Product Portfolio
17.2.4. Geographic Footprint
17.2.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
17.3. Domino
17.3.1. Business Overview
17.3.2. Company Revenue
17.3.3. Product Portfolio
17.3.4. Geographic Footprint
17.3.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
17.4. Ersatz Labs Inc.
17.4.1. Business Overview
17.4.2. Company Revenue
17.4.3. Product Portfolio
17.4.4. Geographic Footprint
17.4.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
17.5. FICO
17.5.1. Business Overview
17.5.2. Company Revenue
17.5.3. Product Portfolio
17.5.4. Geographic Footprint
17.5.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
17.6. IBM Corporation
17.6.1. Business Overview
17.6.2. Company Revenue
17.6.3. Product Portfolio
17.6.4. Geographic Footprint
17.6.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
17.7. Google Inc.
17.7.1. Business Overview
17.7.2. Company Revenue
17.7.3. Product Portfolio
17.7.4. Geographic Footprint
17.7.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
17.8. Hewlett Packard Enterprise Development LP
17.8.1. Business Overview
17.8.2. Company Revenue
17.8.3. Product Portfolio
17.8.4. Geographic Footprint
17.8.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
17.9. Saleforce
17.9.1. Business Overview
17.9.2. Company Revenue
17.9.3. Product Portfolio
17.9.4. Geographic Footprint
17.9.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
17.10. Sift-Science
17.10.1. Business Overview
17.10.2. Company Revenue
17.10.3. Product Portfolio
17.10.4. Geographic Footprint
17.10.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
17.11. Oracle Corporation
17.11.1. Business Overview
17.11.2. Company Revenue
17.11.3. Product Portfolio
17.11.4. Geographic Footprint
17.11.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
17.12. Yottamine Analytics
17.12.1. Business Overview
17.12.2. Company Revenue
17.12.3. Product Portfolio
17.12.4. Geographic Footprint
17.12.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
17.13. Others
18. Key Takeaways