시장보고서
상품코드
1151771

세계의 기계학습 시장 : 인사이트와 예측(-2028년)

Global Machine Learning Market Insights and Forecast to 2028

발행일: | 리서치사: QYResearch | 페이지 정보: 영문 | 배송안내 : 2-3일 (영업일 기준)

※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

COVID-19 팬데믹과 러시아·우크라이나 전쟁의 영향에 의해 세계의 기계학습 시장 규모는 2022년에 210억 3,550만 달러, 2028년까지 1,406억 2,179만 달러의 수정 규모에 달하며, 예측 기간 중(2022-2028년) 37.25%의 CAGR로 성장할 것으로 예측되고 있습니다.

북미의 기계학습 시장은 2022년 77억 5,693만 달러에서 2028년에는 464억 6,373만 달러에 달하며, 예측 기간 중(2022-2028년) 34.58%의 CAGR로 성장할 것으로 예측됩니다.

아시아태평양의 기계학습 시장은 2022년 62억 3,661만 달러에서 2028년에는 456억 6,813만 달러에 달하며, 예측 기간 중(2022-2028년) 39.34%의 CAGR로 성장할 것으로 예측됩니다.

유럽의 기계학습 시장은 2022년 51억 4,641만 달러에서 2028년에는 359억 459만 달러에 달하며, 예측 기간 중(2022-2028년) 38.64%의 CAGR로 성장할 것으로 예측됩니다.

세계의 기계학습(ML) 시장을 분석했으며, 유형별·용도별·지역별(국가별) 시장 동향 전망(2017-2028년), 주요 기업의 개요 등에 대해 조사하여 전해드립니다.

목차

제1장 조사 개요

  • 조사 범위
  • 유형별 시장 분석
    • 시장 규모·성장률 : 유형별(2017년·2021년·2028년)
    • 지도 학습
    • 준지도학습
    • 비지도 학습
    • 강화학습
  • 용도별 시장
    • 시장 점유율 : 용도별(2017년·2021년·2028년)
    • 마케팅·광고
    • 부정 탐지·리스크 관리
    • 컴퓨터 비전
    • 보안·감시
    • 예측 분석
    • 증강현실·가상현실(AR/VR)
    • 기타
  • 분석 대상
  • 분석 기간

제2장 세계의 성장 동향

  • 세계의 기계학습 시장 전망(2017-2028년)
  • 기계학습의 성장 동향 : 지역별
  • 기계학습 시장 역학

제3장 주요 기업별 경쟁 구도

  • 주요 기계학습 기업의 매출
  • 시장 점유율 : 기업 유형별(Tier 1, Tier 2, Tier 3)
  • 분석 대상 기업 : 기계학습 매출별 순위
  • 세계의 기계학습 시장 집중도
  • 기계학습의 주요 기업 : 본사·제공 에어리어
  • 기계학습의 주요 기업 : 제품·솔루션·서비스
  • 기계학습 시장으로의 참여 시기
  • 기업인수합병(M&A), 확장 계획

제4장 기계학습 : 유형별 내역 데이터

  • 과거 시장 규모 : 유형별(2017-2022년)
  • 시장 규모 예측 : 유형별(2023-2028년)

제5장 기계학습 : 용도별 내역 데이터

  • 과거 시장 규모 : 용도별(2017-2022년)
  • 시장 규모 예측 : 용도별(2023-2028년)

제6장 북미

  • 북미의 기계학습 시장 규모(2017-2028년)
  • 기계학습 시장 규모 : 유형별
  • 기계학습 시장 규모 : 용도별
  • 기계학습 시장 규모 : 국가별
    • 미국
    • 캐나다

제7장 유럽

  • 유럽의 기계학습 시장 규모(2017-2028년)
  • 기계학습 시장 규모 : 유형별
  • 기계학습 시장 규모 : 용도별
  • 기계학습 시장 규모 : 국가별
    • 독일
    • 프랑스
    • 영국
    • 이탈리아
    • 러시아

제8장 아시아태평양

  • 아시아태평양의 기계학습 시장 규모(2017-2028년)
  • 기계학습 시장 규모 : 유형별
  • 기계학습 시장 규모 : 용도별
  • 기계학습 시장 규모 : 국가별
    • 중국
    • 일본
    • 한국
    • 동남아시아
    • 인도
    • 호주

제9장 라틴아메리카

  • 라틴아메리카의 기계학습 시장 규모(2017-2028년)
  • 기계학습 시장 규모 : 유형별
  • 기계학습 시장 규모 : 용도별
  • 기계학습 시장 규모 : 국가별
    • 멕시코
    • 브라질

제10장 중동·아프리카

  • 중동·아프리카의 기계학습 시장 규모(2017-2028년)
  • 기계학습 시장 규모 : 유형별
  • 기계학습 시장 규모 : 용도별
  • 기계학습 시장 규모 : 국가별
    • 사우디아라비아
    • 아랍에미리트
    • 이집트
    • 남아프리카공화국

제11장 주요 기업의 개요

  • IBM
  • Dell Technologies
  • Hewlett Packard Enterprise Development LP
  • Oracle Corporation
  • Google Inc.
  • SAP SE
  • SAS Institute Inc.
  • Fair Isaac Corporation
  • Baidu, Inc.
  • Intel Corporation
  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • Yottamine Analytics
  • H2o.AI
  • Databricks
  • BigML, Inc.
  • Dataiku
  • Veritone

제12장 애널리스트의 견해/결론

제13장 부록

KSA 22.11.24

Market Analysis and Insights:

Due to the COVID-19 pandemic and Russia-Ukraine War Influence, the global market for Machine Learning estimated at US$ 21,035.50 million in the year 2022, is projected to reach a revised size of US$ 140,621.79 million by 2028, growing at a CAGR of 37.25% during the forecast period 2022-2028.

The North America market for Machine Learning is estimated to increase from $ 7,756.93 million in 2022 to reach $ 46,463.73 million by 2028, at a CAGR of 34.58% during the forecast period of 2022 through 2028.

The Asia-Pacific market for Machine Learning is estimated to increase from $ 6,236.61 million in 2022 to reach $ 45,668.13 million by 2028, at a CAGR of 39.34% during the forecast period of 2022 through 2028.

The Europe market for Machine Learning is estimated to increase from $ 5,146.41 million in 2022 to reach $ 35,904.59 million by 2028, at a CAGR of 38.64% during the forecast period of 2022 through 2028.

The global key companies of Machine Learning include IBM, Dell, HPE, Oracle, Google, etc. In 2021, the global top five players had a share approximately 31.34% in terms of revenue.

Report Includes:

This report presents an overview of global market for Machine Learning market size. Analyses of the global market trends, with historic market revenue data for 2017 - 2021, estimates for 2022, and projections of CAGR through 2028.

This report researches the key producers of Machine Learning, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Machine Learning, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.

This report focuses on the Machine Learning revenue, market share and industry ranking of main companies, data from 2017 to 2022. Identification of the major stakeholders in the global Machine Learning market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.

This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2017 to 2028. Evaluation and forecast the market size for Machine Learning revenue, projected growth trends, production technology, application and end-user industry.

Descriptive company profiles of the major global players, including IBM, Microsoft Corporation, SAP SE, Intel Corporation, SAS Institute Inc., Amazon Web Services, Inc., BigML, Inc., Google Inc., and Fair Isaac Corporation, etc.

By Company

  • IBM
  • Dell
  • HPE
  • Oracle
  • Google
  • SAP
  • SAS Institute
  • Fair Isaac Corporation (FICO)
  • Baidu
  • Intel
  • Amazon Web Services
  • Microsoft
  • Yottamine Analytics
  • H2O.ai
  • Databricks
  • BigML
  • Dataiku
  • Veritone

Segment by Type

  • Supervised Learning
  • Semi-supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning

Segment by Application

  • Marketing and Advertising
  • Fraud Detection and Risk Management
  • Computer Vision
  • Security and Surveillance
  • Predictive Analytics
  • Augmented and Virtual Reality
  • Others

By Region

  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • Southeast Asia
    • India
    • Australia
    • Rest of Asia
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Russia
    • Rest of Europe
  • Latin America
    • Mexico
    • Brazil
    • Rest of Latin America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Egypt
    • South Africa
    • Rest of MEA

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.

Chapter 2: Revenue of Machine Learning in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. This section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.

Chapter 3: Detailed analysis of Machine Learning companies competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.

Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 5: Provides the analysis of various market segments by Application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 6: North America by Type, by Application and by country, revenue for each segment.

Chapter 7: Europe by Type, by Application and by country, revenue for each segment.

Chapter 8: Asia Pacific by Type, by Application and by region, revenue for each segment.

Chapter 9: Latin America by Type, by Application and by country, revenue for each segment.

Chapter 10: Middle East and Africa by Type, by Application and by country, revenue for each segment.

Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Machine Learningrevenue, gross margin, and recent development, etc.

Chapter 12: Analyst's Viewpoints/Conclusions

TABLE OF CONTENTS

1 Report Overview

  • 1.1 Study Scope
  • 1.2 Market Analysis by Type
    • 1.2.1 Global Machine Learning Market Size Growth Rate by Type: 2017 VS 2022 VS 2028
    • 1.2.2 Supervised Learning
    • 1.2.3 Semi-supervised Learning
    • 1.2.4 Unsupervised Learning
    • 1.2.5 Reinforcement Learning
  • 1.3 Market by Application
    • 1.3.1 Global Machine Learning Market Share by Application: 2017 VS 2022 VS 2028
    • 1.3.2 Marketing and Advertising
    • 1.3.3 Fraud Detection and Risk Management
    • 1.3.4 Computer Vision
    • 1.3.5 Security and Surveillance
    • 1.3.6 Predictive Analytics
    • 1.3.7 Augmented and Virtual Reality
    • 1.3.8 Others
  • 1.4 Study Objectives
  • 1.5 Years Considered

2 Global Growth Trends

  • 2.1 Global Machine Learning Market Perspective (2017-2028)
  • 2.2 Machine Learning Growth Trends by Region
    • 2.2.1 Machine Learning Market Size by Region: 2017 VS 2022 VS 2028
    • 2.2.2 Machine Learning Historic Market Size by Region (2017-2022)
    • 2.2.3 Machine Learning Forecasted Market Size by Region (2023-2028)
  • 2.3 Machine Learning Market Dynamics
    • 2.3.1 Machine Learning Industry Trends
    • 2.3.2 Machine Learning Market Drivers
    • 2.3.3 Machine Learning Market Challenges
    • 2.3.4 Machine Learning Market Restraints

3 Competition Landscape by Key Players

  • 3.1 Global Top Machine Learning Players by Revenue
    • 3.1.1 Global Top Machine Learning Players by Revenue (2017-2022)
    • 3.1.2 Global Machine Learning Revenue Market Share by Players (2017-2022)
  • 3.2 Global Machine Learning Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
  • 3.3 Players Covered: Ranking by Machine Learning Revenue
  • 3.4 Global Machine Learning Market Concentration Ratio
    • 3.4.1 Global Machine Learning Market Concentration Ratio (CR5 and HHI)
    • 3.4.2 Global Top 10 and Top 5 Companies by Machine Learning Revenue in 2021
  • 3.5 Machine Learning Key Players Head office and Area Served
  • 3.6 Key Players Machine Learning Product Solution and Service
  • 3.7 Date of Enter into Machine Learning Market
  • 3.8 Mergers & Acquisitions, Expansion Plans

4 Machine Learning Breakdown Data by Type

  • 4.1 Global Machine Learning Historic Market Size by Type (2017-2022)
  • 4.2 Global Machine Learning Forecasted Market Size by Type (2023-2028)

5 Machine Learning Breakdown Data by Application

  • 5.1 Global Machine Learning Historic Market Size by Application (2017-2022)
  • 5.2 Global Machine Learning Forecasted Market Size by Application (2023-2028)

6 North America

  • 6.1 North America Machine Learning Market Size (2017-2028)
  • 6.2 North America Machine Learning Market Size by Type
    • 6.2.1 North America Machine Learning Market Size by Type (2017-2022)
    • 6.2.2 North America Machine Learning Market Size by Type (2023-2028)
    • 6.2.3 North America Machine Learning Market Share by Type (2017-2028)
  • 6.3 North America Machine Learning Market Size by Application
    • 6.3.1 North America Machine Learning Market Size by Application (2017-2022)
    • 6.3.2 North America Machine Learning Market Size by Application (2023-2028)
    • 6.3.3 North America Machine Learning Market Share by Application (2017-2028)
  • 6.4 North America Machine Learning Market Size by Country
    • 6.4.1 North America Machine Learning Market Size by Country (2017-2022)
    • 6.4.2 North America Machine Learning Market Share by Country (2023-2028)
    • 6.4.3 United States
    • 6.4.4 Canada

7 Europe

  • 7.1 Europe Machine Learning Market Size (2017-2028)
  • 7.2 Europe Machine Learning Market Size by Type
    • 7.2.1 Europe Machine Learning Market Size by Type (2017-2022)
    • 7.2.2 Europe Machine Learning Market Size by Type (2023-2028)
    • 7.2.3 Europe Machine Learning Market Share by Type (2017-2028)
  • 7.3 Europe Machine Learning Market Size by Application
    • 7.3.1 Europe Machine Learning Market Size by Application (2017-2022)
    • 7.3.2 Europe Machine Learning Market Size by Application (2023-2028)
    • 7.3.3 Europe Machine Learning Market Share by Application (2017-2028)
  • 7.4 Europe Machine Learning Market Size by Country
    • 7.4.1 Europe Machine Learning Market Size by Country (2017-2022)
    • 7.4.2 Europe Machine Learning Market Size by Country (2023-2028)
    • 7.4.3 Germany
    • 7.4.4 France
    • 7.4.5 U.K.
    • 7.4.6 Italy
    • 7.4.7 Russia

8 Asia-Pacific

  • 8.1 Asia-Pacific Machine Learning Market Size (2017-2028)
  • 8.2 Asia-Pacific Machine Learning Market Size by Type
    • 8.2.1 Asia-Pacific Machine Learning Market Size by Type (2017-2022)
    • 8.2.2 Asia-Pacific Machine Learning Market Size by Type (2023-2028)
    • 8.2.3 Asia-Pacific Machine Learning Market Share by Type (2017-2028)
  • 8.3 Asia-Pacific Machine Learning Market Size by Application
    • 8.3.1 Asia-Pacific Machine Learning Market Size by Application (2017-2022)
    • 8.3.2 Asia-Pacific Machine Learning Market Size by Application (2023-2028)
    • 8.3.3 Asia-Pacific Machine Learning Market Share by Application (2017-2028)
  • 8.4 Asia-Pacific Machine Learning Market Size by Region
    • 8.4.1 Asia-Pacific Machine Learning Market Size by Region (2017-2022)
    • 8.4.2 Asia-Pacific Machine Learning Market Size by Region (2023-2028)
    • 8.4.3 China
    • 8.4.4 Japan
    • 8.4.5 South Korea
    • 8.4.6 Southeast Asia
    • 8.4.7 India
    • 8.4.8 Australia

9 Latin America

  • 9.1 Latin America Machine Learning Market Size (2017-2028)
  • 9.2 Latin America Machine Learning Market Size by Type
    • 9.2.1 Latin America Machine Learning Market Size by Type (2017-2022)
    • 9.2.2 Latin America Machine Learning Market Size by Type (2023-2028)
    • 9.2.3 Latin America Machine Learning Market Share by Type (2017-2028)
  • 9.3 Latin America Machine Learning Market Size by Application
    • 9.3.1 Latin America Machine Learning Market Size by Application (2017-2022)
    • 9.3.2 Latin America Machine Learning Market Size by Application (2023-2028)
    • 9.3.3 Latin America Machine Learning Market Share by Application (2017-2028)
  • 9.4 Latin America Machine Learning Market Size by Country
    • 9.4.1 Latin America Machine Learning Market Size by Country (2017-2022)
    • 9.4.2 Latin America Machine Learning Market Size by Country (2023-2028)
    • 9.4.3 Mexico
    • 9.4.4 Brazil

10 Middle East & Africa

  • 10.1 Middle East & Africa Machine Learning Market Size (2017-2028)
  • 10.2 Middle East & Africa Machine Learning Market Size by Type
    • 10.2.1 Middle East & Africa Machine Learning Market Size by Type (2017-2022)
    • 10.2.2 Middle East & Africa Machine Learning Market Size by Type (2023-2028)
    • 10.2.3 Middle East & Africa Machine Learning Market Share by Type (2017-2028)
  • 10.3 Middle East & Africa Machine Learning Market Size by Application
    • 10.3.1 Middle East & Africa Machine Learning Market Size by Application (2017-2022)
    • 10.3.2 Middle East & Africa Machine Learning Market Size by Application (2023-2028)
    • 10.3.3 Middle East & Africa Machine Learning Market Share by Application (2017-2028)
  • 10.4 Middle East & Africa Machine Learning Market Size by Country
    • 10.4.1 Middle East & Africa Machine Learning Market Size by Country (2017-2022)
    • 10.4.2 Middle East & Africa Machine Learning Market Size by Country (2023-2028)
    • 10.4.3 Saudi Arabia
    • 10.4.4 UAE
    • 10.4.5 Egypt
    • 10.4.6 South Africa

11 Key Players Profiles

  • 11.1 IBM
    • 11.1.1 IBM Company Details
    • 11.1.2 IBM Business Overview
    • 11.1.3 IBM Machine Learning Introduction
    • 11.1.4 IBM Revenue in Machine Learning Business (2017-2022)
    • 11.1.5 IBM Recent Development
  • 11.2 Dell Technologies
    • 11.2.1 Dell Technologies Company Details
    • 11.2.2 Dell Technologies Business Overview
    • 11.2.3 Dell Technologies Machine Learning Introduction
    • 11.2.4 Dell Technologies Revenue in Machine Learning Business (2017-2022)
    • 11.2.5 Dell Technologies Recent Development
  • 11.3 Hewlett Packard Enterprise Development LP
    • 11.3.1 Hewlett Packard Enterprise Development LP Company Details
    • 11.3.2 Hewlett Packard Enterprise Development LP Business Overview
    • 11.3.3 Hewlett Packard Enterprise Development LP Machine Learning Introduction
    • 11.3.4 Hewlett Packard Enterprise Development LP Revenue in Machine Learning Business (2017-2022)
    • 11.3.5 Hewlett Packard Enterprise Development LP Recent Development
  • 11.4 Oracle Corporation
    • 11.4.1 Oracle Corporation Company Details
    • 11.4.2 Oracle Corporation Business Overview
    • 11.4.3 Oracle Corporation Machine Learning Introduction
    • 11.4.4 Oracle Corporation Revenue in Machine Learning Business (2017-2022)
    • 11.4.5 Oracle Corporation Recent Development
  • 11.5 Google Inc.
    • 11.5.1 Google Inc. Company Details
    • 11.5.2 Google Inc. Business Overview
    • 11.5.3 Google Inc. Machine Learning Introduction
    • 11.5.4 Google Inc. Revenue in Machine Learning Business (2017-2022)
    • 11.5.5 Google Inc. Recent Development
  • 11.6 SAP SE
    • 11.6.1 SAP SE Company Details
    • 11.6.2 SAP SE Business Overview
    • 11.6.3 SAP SE Machine Learning Introduction
    • 11.6.4 SAP SE Revenue in Machine Learning Business (2017-2022)
    • 11.6.5 SAP SE Recent Development
  • 11.7 SAS Institute Inc.
    • 11.7.1 SAS Institute Inc. Company Details
    • 11.7.2 SAS Institute Inc. Business Overview
    • 11.7.3 SAS Institute Inc. Machine Learning Introduction
    • 11.7.4 SAS Institute Inc. Revenue in Machine Learning Business (2017-2022)
    • 11.7.5 SAS Institute Inc. Recent Development
  • 11.8 Fair Isaac Corporation
    • 11.8.1 Fair Isaac Corporation Company Details
    • 11.8.2 Fair Isaac Corporation Business Overview
    • 11.8.3 Fair Isaac Corporation Machine Learning Introduction
    • 11.8.4 Fair Isaac Corporation Revenue in Machine Learning Business (2017-2022)
    • 11.8.5 Fair Isaac Corporation Recent Development
  • 11.9 Baidu, Inc.
    • 11.9.1 Baidu, Inc. Company Details
    • 11.9.2 Baidu, Inc. Business Overview
    • 11.9.3 Baidu, Inc. Machine Learning Introduction
    • 11.9.4 Baidu, Inc. Revenue in Machine Learning Business (2017-2022)
    • 11.9.5 Baidu, Inc. Recent Development
  • 11.10 Intel Corporation
    • 11.10.1 Intel Corporation Company Details
    • 11.10.2 Intel Corporation Business Overview
    • 11.10.3 Intel Corporation Machine Learning Introduction
    • 11.10.4 Intel Corporation Revenue in Machine Learning Business (2017-2022)
    • 11.10.5 Intel Corporation Recent Development
  • 11.11 Amazon Web Services, Inc.
    • 11.11.1 Amazon Web Services, Inc. Company Details
    • 11.11.2 Amazon Web Services, Inc. Business Overview
    • 11.11.3 Amazon Web Services, Inc. Machine Learning Introduction
    • 11.11.4 Amazon Web Services, Inc. Revenue in Machine Learning Business (2017-2022)
    • 11.11.5 Amazon Web Services, Inc. Recent Development
  • 11.12 Microsoft Corporation
    • 11.12.1 Microsoft Corporation Company Details
    • 11.12.2 Microsoft Corporation Business Overview
    • 11.12.3 Microsoft Corporation Machine Learning Introduction
    • 11.12.4 Microsoft Corporation Revenue in Machine Learning Business (2017-2022)
    • 11.12.5 Microsoft Corporation Recent Development
  • 11.13 Yottamine Analytics
    • 11.13.1 Yottamine Analytics Company Details
    • 11.13.2 Yottamine Analytics Business Overview
    • 11.13.3 Yottamine Analytics Machine Learning Introduction
    • 11.13.4 Yottamine Analytics Revenue in Machine Learning Business (2017-2022)
    • 11.13.5 Yottamine Analytics Recent Development
  • 11.14 H2o.AI
    • 11.14.1 H2o.AI Company Details
    • 11.14.2 H2o.AI Business Overview
    • 11.14.3 H2o.AI Machine Learning Introduction
    • 11.14.4 H2o.AI Revenue in Machine Learning Business (2017-2022)
    • 11.14.5 H2o.AI Recent Development
  • 11.15 Databricks
    • 11.15.1 Databricks Company Details
    • 11.15.2 Databricks Business Overview
    • 11.15.3 Databricks Machine Learning Introduction
    • 11.15.4 Databricks Revenue in Machine Learning Business (2017-2022)
    • 11.15.5 Databricks Recent Development
  • 11.16 BigML, Inc.
    • 11.16.1 BigML, Inc. Company Details
    • 11.16.2 BigML, Inc. Business Overview
    • 11.16.3 BigML, Inc. Machine Learning Introduction
    • 11.16.4 BigML, Inc. Revenue in Machine Learning Business (2017-2022)
    • 11.16.5 BigML, Inc. Recent Development
  • 11.17 Dataiku
    • 11.17.1 Dataiku Company Details
    • 11.17.2 Dataiku Business Overview
    • 11.17.3 Dataiku Machine Learning Introduction
    • 11.17.4 Dataiku Revenue in Machine Learning Business (2017-2022)
    • 11.17.5 Dataiku Recent Development
  • 11.18 Veritone
    • 11.18.1 Veritone Company Details
    • 11.18.2 Veritone Business Overview
    • 11.18.3 Veritone Machine Learning Introduction
    • 11.18.4 Veritone Revenue in Machine Learning Business (2017-2022)
    • 11.18.5 Veritone Recent Development

12 Analyst's Viewpoints/Conclusions

13 Appendix

  • 13.1 Research Methodology
    • 13.1.1 Methodology/Research Approach
    • 13.1.2 Data Source
  • 13.2 Disclaimer
  • 13.3 Author Details
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