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Published Date: 2017-04-05Number of Pages: 162

Machine Learning as a Service Market (Deployment Type - Public Cloud and Private Cloud; End-use Application - Manufacturing, Retail, Healthcare and Life Sciences, Telecom, BFSI, Energy and Utilities, Education, and Government) - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2017 - 2025

Global Machine Learning as a Service Market: Snapshot

The global market for machine learning as a service (MLaaS) has gain a significant impetus over the last few years, thanks to the increasing penetration of Internet across the world. The massive amount of data being generated due to the increased usage of internet, shifting preference of organizations towards cloud computing platform, surging adoption of advance technologies, and the augmenting demand for machine learning among a number of industries, such as healthcare and life sciences, BFSI, and retail, are the key factors behind the significant growth of this market.

Going forward, the extensive proliferation of IoT connected devices is anticipated to create new growth opportunities for market players in the near future. As machine learning capabilities are projected to be integrated in more platforms and software, enabling organizations to take advantage of them, the market is likely to witness a substantial rise in the years to come. In 2016, the market presented a total opportunity worth US$1.07 bn in 2016. Expected to progress at an exponential CAGR of 38.40% between 2017 and 2025, it is likely to reach US$19.86 bn by the end of 2025.

machine learning as a service market

 

Healthcare and Life Sciences Industry to Remain Leading End User of MLaaS

The manufacturing, retail, telecom, healthcare and life sciences, BFSI, and various other sectors, such as energy and utilities, education, and the government, are the key end users of machine learning as service across the world. Among these, the healthcare and life sciences segment has emerged as the key contributor to this market, thanks to the growing need for machine learning in this sector to integrate the structured and unstructured data, especially the data generated by electronic health record (EHR) and the genomic and claims data.

Over the coming years, the demand for MLaaS is anticipated to increase substantially in other end-use industries, specifically in the BSFI, retail, telecom, and manufacturing, in order to enhance the decision-making capability of machines used in these industries.

North America to Lead Global MLaaS Market

Asia Pacific, the Middle East and Africa, North America, South America, and Europe are the primary geographical segments of the worldwide market for MLaaS. In terms of revenue, North America led the global market in 2016 with a contribution of US$362.7 bn. The burgeoning need for rapid integration of MLaaS with big data, Internet of Things (IoT), and other advanced technologies is likely to boost the North America market for MLaaS further, owing to which, the regional market is anticipated to remain dominant in the years to come. The U.S. and Canada have surfaced as the leading domestic market for MLaaS in North America, thanks to the presence of well-established players, such as Google Inc., IBM Inc., Microsoft Corporation, and Amazon Web Services Inc.

Compared to other regional markets for MLaaS, Asia Pacific is anticipated to witness a relatively faster growth in the near future on the grounds of the increasing uptake of advance analytics technology in the region’s healthcare and life sciences industry. The advancements in information technology in Australia, China, and India are also projected to propel the Asia Pacific MLaaS market over the forthcoming years.

Google Inc., IBM Corp., Microsoft Corp., Amazon Web Services Inc., BigML Inc., FICO, Yottamine Analytics, Ersatz Labs Inc., Predictron Labs Ltd., and H2O.ai are some of the key participants in the global market for MLaaS.

1. Preface
     1.1. Report Scope and Market Segmentation
     1.2. Research Highlights

2. Assumptions and Research Methodology

3. Executive Summary: Global Machine Learning as a Service Market

4. Market Overview
     4.1. Introduction
            4.1.1. Key Industry Developments
     4.2. Market Dynamics
            4.2.1. Drivers
            4.2.2. Restraints
            4.2.3. Opportunities
     4.3. Key Trends
     4.4. Porter’s Five Force Analysis
     4.5. Ecosystem Analysis: Machine Learning as a Service Market 
     4.6. Global Machine Learning as a Service Market Analysis and Forecasts, 2015 – 2025
            4.6.1. Market Revenue Projections (US$ Mn)
     4.7. Market Outlook

5. Global Machine Learning as a Service Market Analysis and Forecast, by Deployment Type
     5.1. Introduction & Definition
     5.2. Key Findings
     5.3. Market Size (US$ Mn) and Forecast, by Deployment Type, 2015 – 2025
            5.3.1. Public Cloud
            5.3.2. Private Cloud/Virtual Private Cloud (VPC)
     5.4. Deployment Type Comparison Matrix
     5.5. Market Attractiveness, by Deployment Type

6. Global Machine Learning as a Service Market Analysis and Forecast, by End Use Application
     6.1. Introduction & Definition
     6.2. Key Findings
     6.3. Market Size (US$ Mn) and Forecast, by End Use Application, 2015 – 2025
            6.3.1. Manufacturing
            6.3.2. Retail
            6.3.3. Healthcare & Life Sciences
            6.3.4. Telecom
            6.3.5. BFSI
            6.3.6. Others (Energy & Utilities, Education, Government etc.)
     6.4. End Use Application Comparison Matrix
     6.5. Market Attractiveness, by End Use Application

7. Global Machine Learning as a Service Market Analysis and Forecast by Region
     7.1. Key Findings
     7.2. Market Size (US$ Mn) and Forecast by Region, 2015 – 2025
            7.2.1. North America
            7.2.2. Europe
            7.2.3. Asia Pacific
            7.2.4. Middle East and Africa
            7.2.5. South America
     7.3. Market Attractiveness by Region

8. North America Machine Learning as a Service Market Analysis and Forecast
     8.1. Key Findings
     8.2. Market Size (US$ Mn) Forecast By Deployment Type, 2015 – 2025
            8.2.1. Public Cloud
            8.2.2. Private Cloud/Virtual Private Cloud (VPC)
     8.3. Market Size (US$ Mn) Forecast By End Use Application, 2015 – 2025 
            8.3.1. Manufacturing
            8.3.2. Retail
            8.3.3. Healthcare & Life Sciences
            8.3.4. Telecom
            8.3.5. BFSI
            8.3.6. Others (Energy & Utilities, Education, Government etc.)
     8.4. Market Size (US$ Mn) Forecast By Country, 2015 – 2025
            8.4.1. The U.S.
            8.4.2. Canada
            8.4.3. Rest of North America
     8.5. Market Attractiveness Analysis
            8.5.1. By Deployment Type
            8.5.2. By End Use Application 
            8.5.3. By Country

9. Europe Machine Learning as a Service Market Analysis and Forecast
     9.1. Key Findings
     9.2. Market Size (US$ Mn) Forecast By Deployment Type, 2015 – 2025
            9.2.1. Public Cloud
            9.2.2. Private Cloud/Virtual Private Cloud (VPC)     
     9.3. Market Size (US$ Mn) Forecast By End Use Application, 2015 – 2025
            9.3.1. Manufacturing
            9.3.2. Retail
            9.3.3. Healthcare & Life Sciences
            9.3.4. Telecom
            9.3.5. BFSI
            9.3.6. Others (Energy & Utilities, Education, Government etc.)
     9.4. Market Size (US$ Mn) Forecast By Country, 2015 – 2025
            9.4.1. Germany
            9.4.2. France
            9.4.3. UK
            9.4.4. Rest of Europe     
     9.5. Market Attractiveness Analysis
            9.5.1. By Deployment Type
            9.5.2. By End Use Application 
            9.5.3. By Country

10. Asia Pacific (APAC) Machine Learning as a Service Market Analysis and Forecast
     10.1. Key Findings
     10.2. Market Size (US$ Mn) Forecast By Deployment Type, 2015 – 2025
            10.2.1. Public Cloud 
            10.2.2. Private Cloud/Virtual Private Cloud (VPC)
     10.3. Market Size (US$ Mn) Forecast By End Use Application, 2015 – 2025
            10.3.1. Manufacturing
            10.3.2. Retail
            10.3.3. Healthcare & Life Sciences
            10.3.4. Telecom
            10.3.5. BFSI
            10.3.6. Others (Energy & Utilities, Education, Government etc.)
     10.4. Market Size (US$ Mn) Forecast By Country, 2015 – 2025
            10.4.1. China
            10.4.2. India
            10.4.3. Japan
            10.4.4. Australia
            10.4.5. Rest of APAC
     10.5. Market Attractiveness Analysis
            10.5.1. By Deployment Type
            10.5.2. By End Use Application 
            10.5.3. By Country

11. Middle-East and Africa (MEA) Machine Learning as a Service Market Analysis and Forecast
     11.1. Key Findings
     11.2. Market Size (US$ Mn) Forecast By Deployment Type, 2015 – 2025 
            11.2.1. Public Cloud
            11.2.2. Private Cloud/Virtual Private Cloud (VPC)
     11.3. Market Size (US$ Mn) Forecast By End Use Application, 2015 – 2025
            11.3.1. Manufacturing
            11.3.2. Retail
            11.3.3. Healthcare & Life Sciences
            11.3.4. Telecom
            11.3.5. BFSI
            11.3.6. Others (Energy & Utilities, Education, Government etc.)
     11.4. Market Size (US$ Mn) Forecast By Country, 2015 – 2025
            11.4.1. UAE
            11.4.2. Saudi Arabia
            11.4.3. South Africa
            11.4.4. Rest of MEA
     11.5. Market Attractiveness Analysis
            11.5.1. By Deployment Type
            11.5.2. By End Use Application 
            11.5.3. By Country

12. South America Machine Learning as a Service Market Analysis and Forecast
     12.1. Key Findings
     12.2. Market Size (US$ Mn) Forecast By Deployment Type, 2015 – 2025
            12.2.1. Public Cloud
            12.2.2. Private Cloud/Virtual Private Cloud (VPC)     
     12.3. Market Size (US$ Mn) Forecast By End Use Application, 2015 – 2025
            12.3.1. Manufacturing
            12.3.2. Retail
            12.3.3. Healthcare & Life Sciences
            12.3.4. Telecom
            12.3.5. BFSI
            12.3.6. Others (Energy & Utilities, Education, Government etc.)
     12.4. Market Size (US$ Mn) Forecast By Country, 2015 – 2025
            12.4.1. Brazil
            12.4.2. Argentina
            12.4.3. Rest of South America
     12.5. Market Attractiveness Analysis
            12.5.1. By Deployment Type
            12.5.2. By End Use Application 
            12.5.3. By Country

13. Competition Landscape
     13.1. Market Player – Competition Matrix (By Tier and Size of companies)
     13.2. Market Share Analysis by Company (2016)
     13.3. Company Profiles
            13.3.1. Google Inc.
                      13.3.1.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
                      13.3.1.2. Company Description
                      13.3.1.3. SWOT Analysis
                      13.3.1.4. Strategic Overview
            13.3.2. IBM Corporation.
                      13.3.2.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
                      13.3.2.2. Company Description
                      13.3.2.3. SWOT Analysis
                      13.3.2.4. Strategic Overview
            13.3.3. Microsoft Corporation
                      13.3.3.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
                      13.3.3.2. Company Description
                      13.3.3.3. SWOT Analysis
                      13.3.3.4. Strategic Overview
            13.3.4. Amazon Web Services Inc. 
                      13.3.4.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
                      13.3.4.2. Company Description
                      13.3.4.3. SWOT Analysis
                      13.3.4.4. Strategic Overview
            13.3.5. BigML Inc.
                      13.3.5.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
                      13.3.5.2. Company Description
                      13.3.5.3. SWOT Analysis
                      13.3.5.4. Strategic Overview
            13.3.6. FICO
                      13.3.6.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
                      13.3.6.2. Company Description
                      13.3.6.3. SWOT Analysis
                      13.3.6.4. Strategic Overview
            13.3.7. Yottamine Analytics
                      13.3.7.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
                      13.3.7.2. Company Description
                      13.3.7.3. SWOT Analysis
                      13.3.7.4. Strategic Overview
            13.3.8. Ersatz Labs Inc.
                      13.3.8.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
                      13.3.8.2. Company Description
                      13.3.8.3. SWOT Analysis
                      13.3.8.4. Strategic Overview
            13.3.9. Predictron Labs Ltd
                      13.3.9.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
                      13.3.9.2. Company Description
                      13.3.9.3. SWOT Analysis
                      13.3.9.4. Strategic Overview
            13.3.10. H2O.ai
                      13.3.10.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
                      13.3.10.2. Company Description
                      13.3.10.3. SWOT Analysis
                      13.3.10.4. Strategic Overview

14. Key Takeaways

List of Figures

Figure 1: Global Machine Learning as a Service Market - Share Analysis
Figure 2: Global Machine Learning as a Service Market Value Share, by Region, 2025
Figure 3: Global Machine Learning as a Service Market Revenue (US$ Mn) Forecast, 2015 – 2025
Figure 4: Global Machine Learning as a Service Market Y-o-Y Growth, 2016 – 2025
Figure 5: MLaaS Market Value Share by Deployment Type (2016)
Figure 6: MLaaS Market Value Share by End Use Application (2016)
Figure 7: MLaaS Market Value Share by Region (2016)
Figure 8: MLaaS Market CAGR by Deployment Type (2017 – 2025)
Figure 9: MLaaS Market CAGR by End Use Application (2017 – 2025)
Figure 10: MLaaS Market CAGR by Region (2017 – 2025)
Figure 11: Eco-system Analysis
Figure 12: Global Machine Learning as a Service Market Value Share Analysis By Deployment Type, 2017 and 2025
Figure 13: Global Public Cloud Deployment Market Size (US$ Mn) and Y-o-Y Growth (%), 2015 - 2025
Figure 14: Global Private Cloud Deployment Market Size (US$ Mn) and Y-o-Y Growth (%), 2015 - 2025
Figure 15: Comparison Matrix - Global Machine Learning as a Service Market, By Deployment Type
Figure 16: Global Machine Learning as a Service Market Attractiveness Analysis by Deployment Type
Figure 17: Global Machine Learning as a Service Market Value Share Analysis, By End-Use Application, 2017 and 2025
Figure 18: Global Manufacturing Segment Market Size (US$ Mn) and Y-o-Y Growth (%), 2015 - 2025
Figure 19: Global Retail Segment Market Size (US$ Mn) and Y-o-Y Growth (%), 2015 - 2025
Figure 20: Global Healthcare & Life Sciences Segment Market Size (US$ Mn) and Y-o-Y Growth (%), 2015 - 2025
Figure 21: Global Telecom Segment Market Size (US$ Mn) and Y-o-Y Growth (%), 2015 - 2025
Figure 22: Global BFSI Segment Market Size (US$ Mn) and Y-o-Y Growth (%), 2015 - 2025
Figure 23: Global Others Segment Market Size (US$ Mn) and Y-o-Y Growth (%), 2015 - 2025
Figure 24: Comparison Matrix - Global Machine Learning as a Service Market, By End Use Application
Figure 25: Machine Learning as a Service Market Attractiveness Analysis, By End-Use Application 
Figure 26: Machine Learning as a Service Market CAGR (2017 – 2025) Analysis, By Country
Figure 27: Machine Learning as a Service Market Attractiveness Analysis, By Region
Figure 28: North America Machine Learning as a Service Market Revenue (US$ Mn) and Y-o-Y Forecast, 2015 – 2025
Figure 29: North America Machine Learning as a Service Market Value Share Analysis, By Deployment Type, 2017 and 2025
Figure 30: North America Machine Learning as a Service Market Value Share Analysis, By End-Use Application, 2017 and 2025
Figure 31: North America Machine Learning as a Service Market Value Share Analysis, By Country, 2017 and 2025
Figure 32: North America Machine Learning as a Service Market Attractiveness Analysis, By Country
Figure 33: North America Machine Learning as a Service Market Attractiveness Analysis, By Deployment
Figure 34: North America Machine Learning as a Service Market Attractiveness Analysis, By End-Use Application
Figure 35: Europe Machine Learning as a Service Market Revenue (US$ Mn) and Y-o-Y Forecast, 2015 - 2025
Figure 36: Europe Machine Learning as a Service Market Value Share Analysis, By Deployment Type, 2017 and 2025
Figure 37: Europe Machine Learning as a Service Market Value Share Analysis, By End-Use Application, 2017 and 2025
Figure 38: Europe Machine Learning as a Service Market Value Share Analysis, By Country, 2017 and 2025
Figure 39: Europe Machine Learning as a Service Market Attractiveness Analysis, By Country
Figure 40: Europe Machine Learning as a Service Market Attractiveness Analysis, By Deployment
Figure 41: Europe Machine Learning as a Service Market Attractiveness Analysis, By End-Use Application
Figure 42: Asia Pacific Machine Learning as a Service Market Revenue (US $ Mn) and Y-o-Y Forecast, 2015 – 2025
Figure 43: Asia Pacific Machine Learning as a Service Market Value Share Analysis, By Deployment Type, 2017 and 2025
Figure 44: Asia Pacific Machine Learning as a Service Market Value Share Analysis, By End-Use Application, 2017 and 2025
Figure 45: Asia Pacific Machine Learning as a Service Market Value Share Analysis, By Country, 2017 and 2025
Figure 46: Asia Pacific Machine Learning as a Service Market Attractiveness Analysis, By Country
Figure 47: Asia Pacific Machine Learning as a Service Market Attractiveness Analysis, By Deployment
Figure 48: Asia Pacific Machine Learning as a Service Market Attractiveness Analysis, By End-Use Application
Figure 49: MEA Machine Learning as a Service Market Revenue (US$ Mn) and Y-o-Y Forecast, 2015 – 2025
Figure 50: MEA Machine Learning as a Service Market Value Share Analysis, By Deployment Type, 2017 and 2025
Figure 51: MEA Machine Learning as a Service Market Value Share Analysis, By End-Use Application, 2017 and 2025
Figure 52: MEA Machine Learning as a Service Market Value Share Analysis, By Country, 2017 and 2025
Figure 53: MEA Machine Learning as a Service Market Attractiveness Analysis, By Country
Figure 54: MEA Machine Learning as a Service Market Attractiveness Analysis, By Deployment
Figure 55: MEA Machine Learning as a Service Market Attractiveness Analysis, By End-Use Application
Figure 56: South America Machine Learning as a Service Market Revenue (US$ Mn) and Y-o-Y Forecast, 2015 – 2025
Figure 57: South America Machine Learning as a Service Market Value Share Analysis, By Deployment Type, 2017 and 2025
Figure 58: South America Machine Learning as a Service Market Value Share Analysis, By End-Use Application, 2017 and 2025
Figure 59: South America Machine Learning as a Service Market Value Share Analysis, By Country, 2017 and 2025
Figure 60: South America Machine Learning as a Service Market Attractiveness Analysis, By Country
Figure 61: South America Machine Learning as a Service Market Attractiveness Analysis, By Deployment
Figure 62: South America Machine Learning as a Service Market Attractiveness Analysis, By End-Use Application

List of Tables

Table 1: Global Machine Learning as a Service Market Size (US$ Mn) Forecast, By Deployment Type, 2015 – 2025 
Table 2: Global Machine Learning as a Service Market Size (US$ Mn) Forecast, By End-Use Application, 2015 – 2025 
Table 3: Global Machine Learning as a Service Market Size (US$ Mn) Forecast, By Region, 2015 – 2025
Table 4: North American Machine Learning as a Service Market Size (US$ Mn) Forecast, By Deployment Type, 2015 – 2025
Table 5: North America Machine Learning as a Service Market Size (US$ Mn) Forecast, By End-Use Application, 2015 – 2025
Table 6: North America Machine Learning as a Service Market Size (US$ Mn) Forecast, By Country, 2015 – 2025
Table 7: Europe Machine Learning as a Service Market Size (US$ Mn) Forecast, By Deployment Type, 2015 – 2025
Table 8: Europe Machine Learning as a Service Market Size (US$ Mn) Forecast, By End-Use Application, 2015 – 2025
Table 9: Europe Machine Learning as a Service Market Size (US$ Mn) Forecast, By Country, 2015 – 2025
Table 10: Asia Pacific Machine Learning as a Service Market Size (US$ Mn) Forecast, By Deployment Type, 2015 – 2025
Table 11: Asia Pacific Machine Learning as a Service Market Size (US$ Mn) Forecast, By End-Use Application, 2015 – 2025
Table 12: Asia Pacific Machine Learning as a Service Market Size (US$ Mn) Forecast, By Country, 2015 – 2025
Table 13: MEA Machine Learning as a Service Market Size (US$ Bn) Forecast, By Deployment Type, 2015 – 2025
Table 14: MEA Machine Learning as a Service Market Size (US$ Mn) Forecast, By End-Use Application, 2015 – 2025
Table 15: MEA Machine Learning as a Service Market Size (US$ Mn) Forecast, By Country, 2015 – 2025
Table 16: South America Machine Learning as a Service Market Size (US$ Mn) Forecast, By Deployment Type, 2015 – 2025
Table 17: South America Machine Learning as a Service Market Size (US$ Mn) Forecast, By End-Use Application, 2015 – 2025
Table 18: South America Machine Learning as a Service Market Size (US$ Mn) Forecast, By Country, 2015 – 2025

Global Machine Learning as a Service Market: Overview

This report on the global machine learning as a service market provides analysis for the period 2015–2025, wherein 2016 is the base year and the period from 2017 to 2025 is the forecast period. Data for 2015 has been included as historical information. The report covers market dynamics including drivers, restraints opportunities, and trends expected to influence the global machine learning as a service market growth during the said period.

Technologies that are playing a major role in the driving the global machine learning as a service market have also been covered in the study. The study provides a comprehensive analysis on market growth throughout the above forecast period in terms of revenue estimates (in US$ Mn), across different geographies.

Global Machine Learning as a Service Market: Segmentation

The machine learning as a service market has been segmented on the basis of deployment type and end use application. Based on deployment type, the market has been further classified into public cloud and private cloud. By end use application, the market is further classified into manufacturing, retail, healthcare & life sciences, telecom, BFSI and others (energy & utilities, education, government etc.)

Geographically, the report classifies the global machine learning as a service market into North America, Europe, Asia Pacific, Middle East & Africa (MEA), and South America; the regions are analyzed in terms of revenue generation. Furthermore, region wise prominent countries covered in the report include the following - the U.S, Canada, Germany, France, the U.K., China, India, Japan, Australia, UAE, Saudi Arabia, South Africa, Brazil and Argentina.

Global Machine Learning as a Service Market: Scope of the Study

The report further includes key developments in the machine learning as a service market form 2006 onwards. Porter Five Force analysis which identifies bargaining power of supplier, bargaining power of buyer, threat from new entrant, threat from substitute and threat from competition in machine learning as a service market is also included in the report. Ecosystem analysis which identifies key stake holders in the machine learning as a service market is also covered in the report.

The report also covers segment wise comparison matrix, market attractiveness analysis and market share analysis for all regions covered in the scope of study.

Comparison matrix includes segment growth matrix, 2017 - 2025 (%), segment revenue contribution, 2017 - 2025 (%), and segment compounded growth matrix (CAGR %). Market attractiveness identifies and compares segments market attractiveness on the basis of CAGR and market share index.

Global Machine Learning as a Service Market: Competitive Landscape

In conclusion, the report presents the competition landscape which include competition matrix, market share analysis of major players in the global machine learning as a service market based on their 2016 revenues and profiles of major players. Competition matrix benchmarks leading players on the basis of their capabilities and potential to grow. Factors including market position, offerings and R&D focus are attributed to company’s capabilities. Factors including top line growth, market share, segment growth, infrastructure facilities and future outlook are attributed to company’s potential to grow. This section also identifies and includes various recent developments carried out by the leading players.

Company profiling includes company overview, major business strategies adopted, SWOT analysis and market revenues for year 2014 to 2016. The key players profiled in the global machine learning as a service market include IBM Corporation, Google Inc., Amazon Web Services, Microsoft Corporation, BigMl Inc., FICO, Yottamine Analytics, Ersatz Labs Inc, Predictron Labs Ltd and H2O.ai. Other players include ForecastThis Inc., Hewlett Packard Enterprise, Datoin, Fuzzy.ai, and Sift Science Inc. among others.

The global machine learning as a service market is segmented as below:

By Deployment Type

  • Public Cloud
  • Private Cloud

By End-use Application

  • Manufacturing
  • Retail
  • Healthcare & Life Sciences
  • Telecom
  • BFSI
  • Others (Energy & Utilities, Education, Government etc.)

By Geography

  • North America
    • The U.S.
    • Canada
    • Rest of North America
  • Europe
    • Germany
    • France
    • The U.K
    • Rest of Europe
  • Asia Pacific (APAC)
    • India
    • Japan
    • China
    • Australia
    • Rest of APAC
  • Middle East and Africa (MEA)
    • UAE
    • Saudi Arabia
    • South Africa
    • Rest of MEA
  • South America
    • Brazil
    • Argentina
    • Rest of South America


 
 
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