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MLaaS(Machine Learning as a Service) 시장 : 성장, 동향, 예측(2019-2024년)

Machine Learning as a Service (MLaaS) Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)

리서치사 Mordor Intelligence Pvt Ltd
발행일 2021년 01월 상품 코드 547080
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MLaaS(Machine Learning as a Service) 시장 : 성장, 동향, 예측(2019-2024년) Machine Learning as a Service (MLaaS) Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)
발행일 : 2021년 01월 페이지 정보 : 영문

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

세계 MLaaS(Machine Learning as a Service) 시장은 2019-2024년간 43% 이상의 연평균 복합 성장률(CAGR)을 나타낼 전망입니다. 데이터 과학 및 인공지능 기술 발전에 의해 기계학습 능력이 빠르게 향상되었습니다. 기계학습의 가능성에 대해 많은 기업이 인지하게 되었고, 예측기간 중 도입률이 상승할 것으로 예측됩니다.

세계의 MLaaS(Machine Learning as a Service) 시장을 조사했으며, 시장 개요, 용도·조직 규모·최종사용자·지역별 시장 규모 추이와 예측, 시장 성장 촉진요인 및 저해요인 분석, 시장 기회, 경쟁 구도, 주요 기업 개요 등의 정보를 제공합니다.

목차

제1장 서론

  • 조사 성과
  • 조사의 전제조건
  • 조사 범위

제2장 조사 방법

제3장 주요 요약

제4장 시장 역학

  • 시장 개요
  • 성장 촉진요인 및 저해요인 개요
  • 시장 성장 촉진요인
    • 사물인터넷(IoT)과 오토메이션 도입 증가
    • 클라우드 기반 서비스 도입 증가
    • 최종사용자 산업에서의 디지털화 수요 증가
  • 시장 성장 저해요인
    • 프라이버시와 데이터 보안 우려
    • 숙련 전문가의 필요성
  • Five Forces 분석
    • 구매자의 협상력
    • 공급 기업의 협상력
    • 신규 진출기업의 위협
    • 대체품의 위협
    • 경쟁 기업간 경쟁 관계

제5장 MLaaS(Machine Learning as a Service) 시장 : 부문별

  • 용도별
    • 마케팅 및 광고
    • 예지보전
    • 자동 네트워크 관리
    • 부정 검출 및 위험 분석
    • 기타 용도
  • 조직 규모별
    • 중소기업
    • 대기업
  • 최종사용자별
    • IT 및 통신
    • 자동차
    • 헬스케어
    • 항공우주 및 방위
    • 소매
    • 정부
    • 은행, 금융서비스, 보험(BFSI)
    • 기타
  • 지역별
    • 북미
    • 유럽
    • 아시아태평양
    • 기타 지역

제6장 경쟁 구도

  • 기업 개요
    • Microsoft Corporation
    • IBM Corporation
    • Google LLC
    • SAS Institute Inc.
    • Fair Isaac Corporation(FICO)
    • Hewlett Packard Enterprise Company
    • Yottamine Analytics LLC
    • Amazon Web Services Inc.
    • BigML Inc.
    • Iflowsoft Solutions Inc.
    • PurePredictive Inc.
    • Sift Science Inc.
    • H2O.ai Inc.

제7장 투자 분석

제8장 시장 기회 및 향후 동향

LSH 19.07.16

The Machine Learning as a Service (MLaaS) Market was valued at USD 1.0 billion in 2020 and is expected to reach USD 8.48 billion by 2026, at a CAGR of 43% over the forecast period (2021-2026). With advancements in data science and artificial intelligence, the performance of machine learning has accelerated at a rapid pace. Companies are now identifying the potential this technology has, and therefore, the adoption rate of the same is expected to increase over the forecast period.

  • Artificial intelligence has emerged as an enabler for such solutions, and ML consequently plays a critical role.
  • MLaaS model is expected to dominate the market, with users having an option to choose from a wide variety of solutions that are focused on different business needs.
  • The increasing rate of adoption for IoT and automation systems in industries is expected to drive the growth of the adoption rate for MLaaS. Industrial automation already has over a billion connected devices deployed. Owing to IoT, smart and connected technologies have increased the pace of creating vast amounts of data, which can be analyzed to gain profitable insights.

Key Market Trends

Retail Sector is Expected to hold Major Market Share

  • The retail industry is booming in the digital space. The digital revolution was started by prominent companies, like Amazon and eBay. The popularity of digital business models has created challenges for the traditional retail business model. However, it also has massive potential for retailers and consumers alike.
  • Retail and consumer goods companies are witnessing the applicability of machine learning (ML) in driving improvements in customer service and operational efficiency. For instance, the Azure cloud is helping retail and consumer brands to improve the customer's shopping experience by ensuring that shelves are stocked and the products are always available when, where, and how the consumer wants to shop.

North America is Expected to Hold Largest Market Share

  • North America is driven by swift market penetration and the presence of large companies working on technology that influences the growth of the market in the region.
  • North America commands machine learning services over other key regions, on account of rapid integration of machine learning as a service with big data, Internet of Things (IoT), and other advanced technologies. The region has the headquarters of some of the top companies for machine learning as a service, which is an advantage.
  • Companies based in North America, for instance, news organizations, such as the Associated Press, are increasingly publishing new articles and stories written by software, instead of journalists. At the same time, Google is training its AI software, DeepMind, to detect two common types of eye diseases. Microsoft has been using AI for about a decade to improve its online search engine.

Competitive Landscape

The machine learning as a service market is highly competitive and consists of several major players. In terms of market share, few major players, currently dominate the market. However, with the advancement of Artificial Intelligence, many companies are increasing their market presence by securing new contracts, by tapping new markets.

  • April 2019 - Microsoft developed a platform that uses machine teaching to help deep reinforcement learning algorithms tackle real-world problems. Microsoft scientists and product developers have pioneered a complementary approach called machine teaching. This relies on people's expertise to break a problem into easier tasks and give machine learning models important clues about how to find a solution faster.
  • November 2018 - Amazon announced the expansion of its machine learning services to healthcare organizations. Amazon Translate, Amazon Comprehend, and Amazon Transcribe are now HIPAA compliant.

Reasons to Purchase this report:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Introduction to Market Drivers and Restraints
  • 4.3 Market Drivers
    • 4.3.1 Increasing Adoption of IoT and Automation
    • 4.3.2 Increasing Adoption of Cloud-based Services
    • 4.3.3 Growing Demand for Digitalization across Multiple End-User Segments
  • 4.4 Market Restraints
    • 4.4.1 Privacy and Data Security Concerns
    • 4.4.2 Need for Skilled Professionals
  • 4.5 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.5.1 Threat of New Entrants
    • 4.5.2 Bargaining Power of Buyers/Consumers
    • 4.5.3 Bargaining Power of Suppliers
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION

  • 5.1 By Application
    • 5.1.1 Marketing and Advertisement
    • 5.1.2 Predictive Maintenance
    • 5.1.3 Automated Network Management
    • 5.1.4 Fraud Detection and Risk Analytics
    • 5.1.5 Other Applications
  • 5.2 By Organization Size
    • 5.2.1 Small and Medium Enterprises
    • 5.2.2 Large Enterprises
  • 5.3 By End User
    • 5.3.1 IT and Telecom
    • 5.3.2 Automotive
    • 5.3.3 Healthcare
    • 5.3.4 Aerospace and Defense
    • 5.3.5 Retail
    • 5.3.6 Government
    • 5.3.7 BFSI
    • 5.3.8 Other End Users
  • 5.4 Geography
    • 5.4.1 North America
    • 5.4.2 Europe
    • 5.4.3 Asia-Pacific
    • 5.4.4 Rest of the World

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Microsoft Corporation
    • 6.1.2 IBM Corporation
    • 6.1.3 Google LLC
    • 6.1.4 SAS Institute Inc.
    • 6.1.5 Fair Isaac Corporation (FICO)
    • 6.1.6 Hewlett Packard Enterprise Company
    • 6.1.7 Yottamine Analytics LLC
    • 6.1.8 Amazon Web Services Inc.
    • 6.1.9 BigML Inc.
    • 6.1.10 Iflowsoft Solutions Inc.
    • 6.1.11 PurePredictive Inc.
    • 6.1.12 Sift Science Inc.
    • 6.1.13 H2O.ai Inc.

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS

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