MLOps 市場：現況分析與預測（2024-2032）

MLOps Market: Current Analysis and Forecast (2024-2032)

出版日期: 2024年07月01日 | 出版商:

UnivDatos Market Insights Pvt Ltd | 英文 134 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

MLOps 市場有可能呈指數級成長，在預測期內年複合成長率為 41%。企業其組織中成功應用人工智慧/機器學習理念，以建立競爭優勢並提高組織價值。 MLOps 有助於實施機器學習模型。這意味著可以更輕鬆地將模型部署到生產中。此外，醫療保健、金融和電信業在資料安全、隱私和模型可解釋性方面受到嚴格的監管標準。透過這種方式，MLOps 確保組織滿足機器學習過程每個階段治理的可聽性和可追溯性等方面的監管要求。

基於組成 MLOps 市場的組件的細分包括平台和服務。2023年，平台細分市場引領市場。 MLOps 市場中的解決方案包括強大的平台和組織創建、處理和擴展機器學習模型的方法。例如，Amazon Web Services 的SageMaker 是一個通用 ML 平台，可根據全球各產業的需求啟用並支援從標籤到模型部署的所有內容。

依產業劃分，MLOps 市場分為 BFSI、製造業、IT/電信、零售/電子商務、能源/公用事業、醫療保健、媒體/娛樂等。2023年，IT 和通訊產業引領 MLOps 市場。 IT 和通訊是在使用 MLOps 進行網路管理、網路安全和客戶價值方面最先進的行業。例如，西班牙 Telefonica 透過 MLOps 應用技術來提高網路效能和維護水準，並確保客戶的可靠連接。

為了了解全球 MLOps 產業市場，該市場分為北美、歐洲、亞太地區、歐洲其他地區、中國、日本、印度、亞太地區其他地區和世界其他地區。2023年，該市場將以北美為主導，佔據最大的市場佔有率。北美地區保持高利潤的主要原因是該地區的大多數組織從一開始就仍然堅持人工智慧，大多數科技巨頭都在投資優秀的MLOps 解決方案。在這種情況下，Google、微軟和 IBM 等科技巨頭是致力於在 MLOps 發展方面發揮區域領導作用的關鍵參與者，透過各個部門促進經濟發展。

進入市場的主要公司包括Akira AI（XenonStack）、Alteryx Inc.、Amazon Web Services Inc.、Dataiku Inc.、Datarobot Inc.、Domino Data Lab Inc.、Google LLC（Alphabet Inc.）、H2O.ai、Hewlett Packard Enterprise Development LP。

MLOps is the operation of machine learning from the development of the model to the operations of the final product. The last one refers to the process of development, deployment, management, and automation of machine learning development to meet a scalable output of high-quality machine learning models.

The MLOps Market holds a promising Potential for Exponential Speedup with a CAGR of 41% for the forecast period. Businesses are applying artificial intelligence/machine learning ideas successfully in their organizations to build competitive advantages and add more value to their organizations. MLOps helps to operationalize machine learning models meaning that it makes it easier to put the models into the production environment. Further, the healthcare, finance, and telecommunications industries come under strict regulatory standards concerning data security, privacy, and model explainability. This way, MLOps ensures that an organization meets regulatory requirements on aspects such as governance audibility and traceability at each stage in the machine learning process.

The segments based on the Component that constitute the MLOps Market include Platform and Service. The Platform segment led the market in 2023. Solutions in the MLOps market contain solid platforms and instruments for organizations to create, handle, and scale up machine learning models. For instance, Amazon Web Service's SageMaker is a general ML platform that allows and supports everything from labeling to deployment of the model according to the needs of various industries across the world.

Based on the Industry Vertical, the MLOps Market has been classified into BFSI, Manufacturing, IT and Telecom, Retail and E-commerce, Energy and Utility, Healthcare, Media and Entertainment, and Others. In 2023, the IT and Telecom segment led the MLOps Market. IT and Telecom are the most advanced industries in terms of MLOps usage for the improvement of network management, cybersecurity, and customer value. For instance, through MLOps, Telefonica in Spain applies techniques of enhancing the performance of a network and level of maintenance to guarantee customers reliable connection.

In order to understand the global market of the MLOps industry, the market is divided into global regions including North America, Europe, Asia-Pacific, and the rest of the world where it is spread across the countries, namely U. S., Canada, Rest of North America, Germany, U. K., France, Spain, Italy, Rest of Europe, China, Japan, India, and Rest of Asia-Pacific and Rest of the World. In 2023, the market was led by North America, which accounts for the largest market share. The North American region holds higher revenues mainly because most organizations in this region are still sticking to AI from the starting period, and most of the tech-giants are invested in superior MLOps solutions. In this case, technology powerhouses such as Google, Microsoft, and IBM are some of the key players leaning into the regional leadership in MLOps advancement consequently boosting the economy through the different sectors.

Some of the major players operating in the market include Akira AI (XenonStack), Alteryx Inc., Amazon Web Services Inc., Dataiku Inc., Datarobot Inc., Domino Data Lab Inc., Google LLC (Alphabet Inc.), H2O.ai, and Hewlett Packard Enterprise Development LP.

1.MARKET INTRODUCTION

1.1. Market Definitions
1.2. Main Objective
1.3. Stakeholders
1.4. Limitation

2.RESEARCH METHODOLOGY OR ASSUMPTION

2.1. Research Process of the MLOps Market
2.2. Research Methodology of the MLOps Market
2.3. Respondent Profile

3.EXECUTIVE SUMMARY

3.1. Industry Synopsis
3.2. Segmental Outlook
- 3.2.1. Market Growth Intensity
3.3. Regional Outlook

4.MARKET DYNAMICS

4.1. Drivers
4.2. Opportunity
4.3. Restraints
4.4. Trends
4.5. PESTEL Analysis
4.6. Demand Side Analysis
4.7. Supply Side Analysis
- 4.7.1. Merger & Acquisition
- 4.7.2. Investment Scenario
- 4.7.3. Industry Insights: Leading Startups and Their Unique Strategies

5.PRICING ANALYSIS

5.1. Regional Pricing Analysis
5.2. Price Influencing Factors

6.GLOBAL MLOPS MARKET REVENUE (USD BN), 2022-2032F

7.MARKET INSIGHTS BY COMPONENT

7.1. Platform
7.2. Service

8.MARKET INSIGHTS BY INDUSTRY VERTICAL

8.1. BFSI
8.2. Manufacturing
8.3. IT and Telecom
8.4. Retail and E-commerce
8.5. Energy and Utility
8.6. Healthcare
8.7. Media and Entertainment
8.8. Others

9.MARKET INSIGHTS BY REGION

9.1. North America
- 9.1.1. U.S.
- 9.1.2. Canada
- 9.1.3. Rest of North America
9.2. Europe
- 9.2.1. Germany
- 9.2.2. U.K.
- 9.2.3. France
- 9.2.4. Italy
- 9.2.5. Spain
- 9.2.6. Rest of Europe
9.3. Asia-Pacific
- 9.3.1. China
- 9.3.2. Japan
- 9.3.3. India
- 9.3.4. Rest of Asia-Pacific
9.4. Rest of World

10.VALUE CHAIN ANALYSIS

10.1. Key Component Analysis
10.2. List of Market Participants

11.COMPETITIVE LANDSCAPE

11.1. Competition Dashboard
11.2. Competitor Market Positioning Analysis
11.3. Porter Five Forces Analysis

12.COMPANY PROFILED

12.1. Akira AI (XenonStack)
- 12.1.1. Company Overview
- 12.1.2. Key Financials
- 12.1.3. SWOT Analysis
- 12.1.4. Product Portfolio
- 12.1.5. Recent Developments
12.2. Alteryx Inc.
12.3. Amazon Web Services Inc.
12.4. Dataiku Inc.
12.5. Datarobot Inc.
12.6. Domino Data Lab Inc.
12.7. Google LLC (Alphabet Inc.)
12.8. H2O.ai
12.9. Hewlett Packard Enterprise Development LP
12.10. International Business Machines Corporation