▶ 調査レポート

世界の機械学習市場2020年ー2030年:コンポーネント別(ソフトウェア/プラットフォーム、サービス)、企業規模別、エンドユーザー別

• 英文タイトル:Machine Learning Market (Component: Software/Platform and Services; Enterprise Size: Small & Medium Enterprise and Large Enterprise; and End User: BFSI, Healthcare, Retail & eCommerce, IT & Telecom, Manufacturing, Energy & Utility, Government, Media & Entertainment, and Others) – Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2020-2030

Transparency Market Researchが調査・発行した産業分析レポートです。世界の機械学習市場2020年ー2030年:コンポーネント別(ソフトウェア/プラットフォーム、サービス)、企業規模別、エンドユーザー別 / Machine Learning Market (Component: Software/Platform and Services; Enterprise Size: Small & Medium Enterprise and Large Enterprise; and End User: BFSI, Healthcare, Retail & eCommerce, IT & Telecom, Manufacturing, Energy & Utility, Government, Media & Entertainment, and Others) – Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2020-2030 / MRC2103G187資料のイメージです。• レポートコード:MRC2103G187
• 出版社/出版日:Transparency Market Research / 2020年11月26日
• レポート形態:英文、PDF、380ページ
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• 産業分類:IT
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レポート概要
Transparency Market Research社の本調査資料では、世界の機械学習市場を広く調査・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/プラットフォーム、サービス)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、以下の構成でまとめております。
・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
・機械学習の世界市場規模:コンポーネント別(ソフトウェア/プラットフォーム、サービス)
・機械学習の世界市場規模:企業規模別
・機械学習の世界市場規模:エンドユーザー別
・機械学習の世界市場規模: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 Market – Scope of the Report
A latest study collated and published by Transparency Market Research (TMR) analyzes the historical and present-day scenario of the global machine learning 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 market, to identify the opportunistic avenues of the business potential for stakeholders. The report also provides insightful information about how the machine learning market will progress during the forecast period, 2020 – 2030.

The report offers intricate dynamics about the different aspects of the machine learning market, which aids companies operating in the market in making strategic development decisions. TMR’s study also elaborates on the significant changes that are highly anticipated to configure the growth of the machine learning market during the forecast period. It also includes impact analysis of COVID-19 on the machine learning market. The global machine learning market report helps to estimate statistics related to the market progress in terms of value (US$ Bn).

The study covers a detailed segmentation of the machine learning market, along with key information and a competitive outlook. The report mentions the company profiles of key players currently dominating the machine learning market, wherein various developments, expansions, and winning strategies practiced and executed by leading players have been presented in detail.

Key Questions Answered in TMR’s Report on Machine Learning Market
The report provides detailed information about the machine learning market on the basis of 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 market, so as to help them formulate successful strategies and take target-driven decisions.

How are key market players successfully earning revenue out of machine learning?
What will be the Y-o-Y growth of the machine learning market between 2020 and 2030?
What are the winning imperatives of market frontrunners in the machine learning market?
What are the major drivers and restraints of the market?
What will be the size of the machine learning market from 2020 to 2030?
Which will be the fastest growing segment in the machine learning market?
Which are the leading companies in the machine learning market?
What are the strategies of companies operating in the market?
Research Methodology – Machine Learning Market
The research methodology adopted by analysts to compile the machine learning market report is based on detailed primary as well as secondary research. With the help of in-depth insights of industry-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts of the machine learning 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 market. For secondary research, analysts scrutinized numerous annual report publications, white papers, and data of major countries of the world, industry association publications, and company websites to obtain the necessary understanding of the machine learning 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 Methodolog
2.1.1. List of Primary and Secondary Sources
2.2. Key Assumptions for Data Modelling
3. Executive Summary – Global Machine Learning Market
4. Market Overview
4.1. Market Definition
4.2. Market Factor Analysis
4.2.1. Forecast Factors
4.2.2. Ecosystem/ Value Chain Analysis
4.2.3. Market Dynamics (Growth Influencers)
4.2.3.1. Drivers
4.2.3.2. Restraints
4.2.3.3. Opportunities
4.2.3.4. Impact Analysis of Drivers and Restraints
4.3. Market Opportunity Assessment
4.3.1. By Component
4.3.2. By Enterprise Size
4.3.3. By End-user
4.3.4. By Region
4.4. Competitive Scenario and Trends
4.4.1. Machine Learning Market Concentration Rate
4.4.2. Mergers & Acquisitions, Expansions
4.5. Impact Analysis of COVID-19 on the Machine Learning Market
4.5.1. By End-user
4.5.2. End-user Sentiment Analysis: Comparative Analysis on Spending
4.5.2.1. Increase in Spending
4.5.2.2. Decrease in Spending
4.5.3. Short Term and Long Term Impact on the Market
4.6. Analysis of Machine Learning Market, By Application
4.6.1. Image & Speech Recognition
4.6.2. Market Trading
4.6.3. Traffic Prediction
4.6.4. Product Recommendation
4.6.5. Self-driving Vehicles
4.6.6. Virtual Personal Assistance
4.6.7. Medical Diagnosis
4.7. Market Outlook
5. Global Machine Learning Market Analysis and Forecast
5.1.1. Market Revenue Analysis (US$ Bn), 2015-2030
5.1.1.1. Historic Growth Trends, 2015-2019
5.1.1.2. Forecast Trends, 2020-2030
6. Global Machine Learning Market Analysis, by Component
6.1. Key Segment Analysis
6.2. Machine Learning Market Size (US$ Bn) Forecast, by Component, 2018 – 2030
6.2.1. Software/ Platform
6.2.2. Services
6.2.2.1. Professional
6.2.2.2. ML as a Service (MLaaS)
7. Global Machine Learning Market Analysis, by Enterprise Size
7.1. Key Segment Analysis
7.2. Machine Learning Market Size (US$ Bn) Forecast, by Enterprise Size, 2018 – 2030
7.2.1. Small & Medium Enterprises
7.2.2. Large Enterprises
8. Global Machine Learning Market Analysis, by End-user
8.1. Key Segment Analysis
8.2. Machine Learning Market Size (US$ Bn) Forecast, by End-user, 2018 – 2030
8.2.1. BFSI
8.2.2. Healthcare
8.2.3. Retail & E-commerce
8.2.4. IT & Telecom
8.2.5. Manufacturing
8.2.6. Energy & Utilit
8.2.7. Government
8.2.8. Media & Entertainment
8.2.9. Others
9. Global Machine Learning Market Analysis and Forecast, By Region
9.1. Key Findings
9.2. Machine Learning Market Size (US$ Bn) Forecast, by Region, 2018 – 2030
9.2.1. North America
9.2.2. Europe
9.2.3. Asia Pacific
9.2.4. Middle East & Africa
9.2.5. South America
10. North America Machine Learning Market Analysis
10.1. Regional Outlook
10.2. Machine Learning Market Size (US$ Bn) Analysis and Forecast (2018 – 2030)
10.2.1. By Component
10.2.2. By Enterprise Size
10.2.3. By End-user
10.3. Machine Learning Market Size (US$ Bn) Forecast, by Country, 2018 – 2030
10.3.1. U.S.
10.3.2. Canada
10.3.3. Mexico
11. Europe Machine Learning Market Analysis and Forecast
11.1. Regional Outlook
11.2. Machine Learning Market Size (US$ Bn) Analysis and Forecast (2018 – 2030)
11.2.1. By Component
11.2.2. By Enterprise Size
11.2.3. By End-user
11.3. Machine Learning Market Size (US$ Bn) Forecast, by Country & Sub-region, 2018 – 2030
11.3.1. German
11.3.2. UK
11.3.3. France
11.3.4. Ital
11.3.5. Spain
11.3.6. Rest of Europe
12. Asia Pacific Machine Learning Market Analysis and Forecast
12.1. Regional Outlook
12.2. Machine Learning Market Size (US$ Bn) Analysis and Forecast (2018 – 2030)
12.2.1. By Component
12.2.2. By Enterprise Size
12.2.3. By End-user
12.3. Machine Learning Market Size (US$ Bn) Forecast, by Country & Sub-region, 2018 – 2030
12.3.1. China
12.3.2. India
12.3.3. Japan
12.3.4. ASEAN
12.3.5. Rest of APAC
13. Middle East & Africa Machine Learning Market Analysis and Forecast
13.1. Regional Outlook
13.2. Machine Learning Market Size (US$ Bn) Analysis and Forecast (2018 – 2030)
13.2.1. By Component
13.2.2. By Enterprise Size
13.2.3. By End-user
13.3. Machine Learning Market Size (US$ Bn) Forecast, by Country & Sub-region, 2018 – 2030
13.3.1. GCC
13.3.2. South Africa
13.3.3. Rest of MEA
14. South America Machine Learning Market Analysis and Forecast
14.1. Regional Outlook
14.2. Machine Learning Market Size (US$ Bn) Analysis and Forecast (2018 – 2030)
14.2.1. By Component
14.2.2. By Enterprise Size
14.2.3. By End-user
14.3. Machine Learning Market Size (US$ Bn) Forecast, by Country & Sub-region, 2018 – 2030
14.3.1. Brazil
14.3.2. Rest of South America
15. Competition Landscape
15.1. Market Competition Matrix, by Prominent Players
15.2. Market Revenue Share Analysis (%), by Prominent Players (2019)
16. Company Profiles
16.1. Amazon Web Services, Inc.
16.1.1. Business Overview
16.1.2. Product Portfolio
16.1.3. Geographical Footprint
16.1.4. Revenue and Strateg
16.2. BigML Inc.
16.2.1. Business Overview
16.2.2. Product Portfolio
16.2.3. Geographical Footprint
16.2.4. Revenue and Strateg
16.3. DeepL GmbH
16.3.1. Business Overview
16.3.2. Product Portfolio
16.3.3. Geographical Footprint
16.3.4. Revenue and Strateg
16.4. Ersatz Labs Inc.
16.4.1. Business Overview
16.4.2. Product Portfolio
16.4.3. Geographical Footprint
16.4.4. Revenue and Strateg
16.5. Featurespace Limited
16.5.1. Business Overview
16.5.2. Product Portfolio
16.5.3. Geographical Footprint
16.5.4. Revenue and Strateg
16.6. FICO
16.6.1. Business Overview
16.6.2. Product Portfolio
16.6.3. Geographical Footprint
16.6.4. Revenue and Strateg
16.7. Formulate AB
16.7.1. Business Overview
16.7.2. Product Portfolio
16.7.3. Geographical Footprint
16.7.4. Revenue and Strateg
16.8. German Auto Labs GAL GmbH
16.8.1. Business Overview
16.8.2. Product Portfolio
16.8.3. Geographical Footprint
16.8.4. Revenue and Strateg
16.9. Google LLC
16.9.1. Business Overview
16.9.2. Product Portfolio
16.9.3. Geographical Footprint
16.9.4. Revenue and Strateg
16.10. H2O.ai
16.10.1. Business Overview
16.10.2. Product Portfolio
16.10.3. Geographical Footprint
16.10.4. Revenue and Strateg
16.11. Heuritech
16.11.1. Business Overview
16.11.2. Product Portfolio
16.11.3. Geographical Footprint
16.11.4. Revenue and Strateg
16.12. Hewlett Packard Enterprise Development LP
16.12.1. Business Overview
16.12.2. Product Portfolio
16.12.3. Geographical Footprint
16.12.4. Revenue and Strateg
16.13. IBM Corporation
16.13.1. Business Overview
16.13.2. Product Portfolio
16.13.3. Geographical Footprint
16.13.4. Revenue and Strateg
16.14. InstaDeep Ltd
16.14.1. Business Overview
16.14.2. Product Portfolio
16.14.3. Geographical Footprint
16.14.4. Revenue and Strateg
16.15. Microsoft Corporation
16.15.1. Business Overview
16.15.2. Product Portfolio
16.15.3. Geographical Footprint
16.15.4. Revenue and Strateg
16.16. MySales Labs Ltd
16.16.1. Business Overview
16.16.2. Product Portfolio
16.16.3. Geographical Footprint
16.16.4. Revenue and Strateg
16.17. Oracle Corporation
16.17.1. Business Overview
16.17.2. Product Portfolio
16.17.3. Geographical Footprint
16.17.4. Revenue and Strateg
16.18. SAP SE
16.18.1. Business Overview
16.18.2. Product Portfolio
16.18.3. Geographical Footprint
16.18.4. Revenue and Strateg
16.19. SAS Institute Inc.
16.19.1. Business Overview
16.19.2. Product Portfolio
16.19.3. Geographical Footprint
16.19.4. Revenue and Strateg
16.20. understandAI GmbH
16.20.1. Business Overview
16.20.2. Product Portfolio
16.20.3. Geographical Footprint
16.20.4. Revenue and Strateg
17. Key Takeaways

List of Tables

Table 1: Global Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 2: Global Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 3: Global Machine Learning Market Revenue (US$ Bn) Forecast, by End-user, 2018 – 2030

Table 4: Global Machine Learning Market Revenue (US$ Bn) and Forecast, by Region 2018 – 2030

Table 5: North America Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 6: North America Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 7: North America Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 8: North America Machine Learning Market Value (US$ Bn) Forecast, by Country, 2018 - 2030

Table 9: U.S. Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 10: U.S. Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 11: U.S. Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 12: U.S. Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 13: Canada Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 14: Canada Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 15: Canada Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 16: Canada Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 17: Mexico Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 18: Mexico Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 19: Mexico Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 20: Mexico Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 21: Europe Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 22: Europe Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 23: Europe Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 24: Europe Machine Learning Market Value (US$ Bn) Forecast, by Country, 2018 - 2030

Table 25: Germany Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 26: Germany Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 27: Germany Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 28: Germany Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 29: U.K. Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 30: U.K. Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 31: U.K. Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 32: U.K. Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 33: France Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 34: France Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 35: France Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 36: France Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 37: Italy Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 38: Italy Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 39: Italy Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 40: Italy Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 41: Spain Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 42: Spain Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 43: Spain Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 44: Spain Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 45: Asia Pacific Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 46: Asia Pacific Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 47: Asia Pacific Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 48: Asia Pacific Machine Learning Market Value (US$ Bn) Forecast, by Country, 2018 - 2030

Table 49: China Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 50: China Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 51: China Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 52: China Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 53: India Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 54: India Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 55: India Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 56: India Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 57: Japan Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 58: Japan Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 59: Japan Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 60: Japan Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 61: ASEAN Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 62: ASEAN Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 63: ASEAN Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 64: ASEAN Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 65: Middle East & Africa Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 66: Middle East & Africa Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 67: Middle East & Africa Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 68: Middle East & Africa Machine Learning Market Value (US$ Bn) Forecast, by Country, 2018 - 2030

Table 69: GCC Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 70: GCC Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 71: GCC Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 72: GCC Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 73: South Africa Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 74: South Africa Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 75: South Africa Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 76: South Africa Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 77: South America Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 78: South America Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 79: South America Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 80: South America Machine Learning Market Value (US$ Bn) Forecast, by Country, 2018 - 2030

Table 81: Brazil Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 82: Brazil Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 83: Brazil Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 84: Brazil Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030