Market Overview:
The global MLOps market is expected to grow from USD 1.02 billion in 2018 to USD 3.73 billion by 2030, at a CAGR of 18.5% during the forecast period. The growth of the MLOps market is driven by the increasing demand for automation and orchestration in data management and analytics, rising adoption of machine learning and artificial intelligence across industries, and growing need for agile data management practices. However, lack of skilled professionals is restraining the growth of the MLOps market to some extent. On-premise type segment is expected to hold a larger share of the global MLOps market duringthe forecast period owingto its advantages such as security & privacy, control over infrastructure & data,and low TCO (total cost ownership). Moreover, on-premises deployments are more common in highly regulated industries such as BFSI and healthcare where compliance with regulationsis critical for business operations. However, cloud deployment models are gaining traction due their benefits such as scalabilityand pay-as-you go pricing model that helps reduce IT costs significantly.
Product Definition:
MLOps is a term that has been coined in recent years to describe the practice of managing and operating machine learning (ML) models and workflows. The importance of MLOps lies in its ability to bring together the data science, engineering, and operations teams needed to build, deploy, monitor, and maintain ML models at scale.
On-premise:
On-premise is a term used for software and data that are installed and run from the provider's server. The on-premise MLOps solutions have been around for more than two decades. However, in the last few years, due to increased demand from customers, there has been an enormous growth in this market segment.
Cloud:
The cloud and its usage in Machine Learning (ML)ops market is a hot topic these days. The rapid increase of big data, the growing popularity of cloud computing technology, increased investments by tech giants such as Google, Microsoft & Amazon are some factors that have fueled the growth of this industry. Also increasing adoption rate for machine learning technologies among enterprises has accelerated the demand for cloud-based services to manage their ML operations efficiently.
Application Insights:
The BFSI sector accounted for the largest market share in 2017 and is expected to continue its dominance over the forecast period. The rising demand for banking, financial services, and insurance (BFSI) solutions across different geographies is anticipated to be a key factor driving the global market growth. The increasing penetration of smartphones coupled with cloud computing has enabled easy access to customers¢â‚¬â„¢ data which in turn has increased revenue generation for banks and other financial institutions.
The healthcare segment is also expected to register significant growth during the forecast period owing to an increase in investments by governments as well as private players in order to improve medical infrastructure at a domestic level. For instance, China invested USD 8 billion on building 100 new hospitals along with training 1 million doctors during 2018-19 which was previously done only at international level due largely outside influence from developed countries such as U.S.
Regional Analysis:
The North American region dominated the market in 2017 and is expected to maintain its position over the forecast period. The growth can be attributed to increasing adoption of automation, advanced networking technologies, rising demand for high-quality products & services and rapid technological advancements. Moreover, presence of major players such as Cisco Systems, Inc., Hewlett Packard Enterprise Development LP; IBM Corporation; Microsoft Corporation; and Google LLC has contributed to regional growth.
Asia Pacific is estimated to be the fastest-growing region from 2018 to 2030 owing with growing manufacturing sector in countries such as China & India coupled with increased adoption of cloud computing solutions across various industries including BFSI, retail etc. Furthermore, increasing investments by governments in infrastructure development are also contributing towards regional growth. For instance: In 2016 - 2017 Union Budget of India Government announced “UPA 2†which envisages expenditure on transport infrastructure worth USD X trillion over a period of five years (2016 - 17).
Growth Factors:
- Increased demand for data-driven decision making: The need for timely and accurate insights is driving the demand for MLOps. Organizations are looking to adopt machine learning to gain a competitive edge.
- Proliferation of open source tools: Open source tools are accelerating the pace of innovation in the MLOps market. They are also helping to reduce the cost and time to deployment.
- Emergence of cloud-based platforms: Cloud-based platforms are providing on-demand scalability and flexibility, which is fueling the growth of MLOps market. They are also helping organizations reduce their IT infrastructure costs.
Scope Of The Report
Report Attributes
Report Details
Report Title
MLOps Market Research Report
By Type
On-premise, Cloud, Hybrid
By Application
BFSI, Healthcare, Retail, Manufacturing, Public Sector, Others
By Companies
Microsoft, Amazon, Google, IBM, Dataiku, Lguazio, Databricks, DataRobot, Inc., Cloudera, Modzy, Algorithmia, HPE, Valohai, Allegro AI, Comet, FloydHub, Paperpace, Cnvrg.io
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
144
Number of Tables & Figures
101
Customization Available
Yes, the report can be customized as per your need.
Global MLOps Market Report Segments:
The global MLOps market is segmented on the basis of:
Types
On-premise, Cloud, Hybrid
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
BFSI, Healthcare, Retail, Manufacturing, Public Sector, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Microsoft
- Amazon
- IBM
- Dataiku
- Lguazio
- Databricks
- DataRobot, Inc.
- Cloudera
- Modzy
- Algorithmia
- HPE
- Valohai
- Allegro AI
- Comet
- FloydHub
- Paperpace
- Cnvrg.io
Highlights of The MLOps Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- On-premise
- Cloud
- Hybrid
- By Application:
- BFSI
- Healthcare
- Retail
- Manufacturing
- Public Sector
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the MLOps Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
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- Product & Brand Management
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
MLOps is an abbreviation for machine learning operations. It refers to the process of using machine learning algorithms to improve the performance of a data processing system. MLOps can involve implementing new algorithms, tuning existing ones, or optimizing the use of resources across a data center.
Some of the major companies in the mlops market are Microsoft, Amazon, Google, IBM, Dataiku, Lguazio, Databricks, DataRobot, Inc., Cloudera, Modzy, Algorithmia, HPE, Valohai, Allegro AI, Comet, FloydHub, Paperpace, Cnvrg.io.
The mlops market is expected to grow at a compound annual growth rate of 18.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 MLOps Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 MLOps Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 MLOps Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the MLOps Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global MLOps Market Size & Forecast, 2020-2028 4.5.1 MLOps Market Size and Y-o-Y Growth 4.5.2 MLOps Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 On-premise
5.2.2 Cloud
5.2.3 Hybrid
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 BFSI
6.2.2 Healthcare
6.2.3 Retail
6.2.4 Manufacturing
6.2.5 Public Sector
6.2.6 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global MLOps Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 MLOps Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 On-premise
9.6.2 Cloud
9.6.3 Hybrid
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 BFSI
9.10.2 Healthcare
9.10.3 Retail
9.10.4 Manufacturing
9.10.5 Public Sector
9.10.6 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 On-premise
10.6.2 Cloud
10.6.3 Hybrid
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 BFSI
10.10.2 Healthcare
10.10.3 Retail
10.10.4 Manufacturing
10.10.5 Public Sector
10.10.6 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 On-premise
11.6.2 Cloud
11.6.3 Hybrid
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 BFSI
11.10.2 Healthcare
11.10.3 Retail
11.10.4 Manufacturing
11.10.5 Public Sector
11.10.6 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 On-premise
12.6.2 Cloud
12.6.3 Hybrid
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 BFSI
12.10.2 Healthcare
12.10.3 Retail
12.10.4 Manufacturing
12.10.5 Public Sector
12.10.6 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 On-premise
13.6.2 Cloud
13.6.3 Hybrid
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 BFSI
13.10.2 Healthcare
13.10.3 Retail
13.10.4 Manufacturing
13.10.5 Public Sector
13.10.6 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 MLOps Market: Competitive Dashboard
14.2 Global MLOps Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Microsoft
14.3.2 Amazon
14.3.3 Google
14.3.4 IBM
14.3.5 Dataiku
14.3.6 Lguazio
14.3.7 Databricks
14.3.8 DataRobot, Inc.
14.3.9 Cloudera
14.3.10 Modzy
14.3.11 Algorithmia
14.3.12 HPE
14.3.13 Valohai
14.3.14 Allegro AI
14.3.15 Comet
14.3.16 FloydHub
14.3.17 Paperpace
14.3.18 Cnvrg.io