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AIOpsプラットフォーム市場:コンポーネント毎、サービス毎(導入、コンサルティング、管理サービス)、用途毎(リアルタイム解析、インフラストラクチャー管理、アプリケーション性能管理)、産業垂直市場毎、地域毎 - 2023年までの世界市場予測

AIOps Platform Market by Component, Service (Implementation, Consulting, and Managed Services), Application (Real-time Analytics, Infrastructure Management, and Application Performance Management), Vertical, and Region - Global Forecast to 2023

 

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MarketsandMarkets
マーケッツアンドマーケッツ
2018年7月US$5,650
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幅広い市場に関する調査レポートを出版しているマーケッツアンドマーケッツ(MarketsandMarkets)のAIOpsプラットフォーム市場に関する調査レポートです。

The AIOps platform market is projected to grow at a Compound Annual Growth Rate (CAGR) of 34.0% during the forecast period

The global AIOps market size is expected to grow from USD 2.55 billion in 2018 to USD 11.02 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 34.0% during the forecast period. Major growth factors for the market include the growing demand for AI-based services in IT operations, increasing shift of organizations’ core business toward the cloud, and increasing end-to-end business application assurance and uptime. In addition, increasing investments in the AIOps technology is also a key growth factor for the market. However, lack of skilled professionals may restrain the market growth.  

Platforms segment is expected to have the largest market size during the forecast period

AIOps platform encompasses a combination of various AI strategies including data output, aggregation, analytics, algorithms, automation and orchestration, ML, and visualization. These platforms enable the use of multiple sources of data, data collection methods, and analytical and presentation technologies. The platform provides multiple IT operations disciplines with advanced analytical capabilities directly and indirectly. The platform is centralized and flexible, and helps to deliver data insights continuously provided by automated algorithmic ML capability analyzing unprecedented amounts of data. To use these technologies, AIOps platforms contain multiple layers that address different functionalities, such as data collection and storage, analytical tools, visualization, and integrations with other applications and services.

Managed service in the services segment is expected to grow at a higher CAGR during the forecast period

Managed services offerings have been evolved, owing to technological advancements, such as AIOps applications which allow IT professionals to operate beyond the usual specialized scenarios and expand into more complex and heterogeneous business environments. These services refer to the outsourcing of in-house functionalities, so that they can be managed by third-party Managed Service Providers (MSPs). Managed services include consulting, integration, and maintenance of deployed solutions. An MSP is a third-party contractor who delivers network-based services, applications, and equipment to enterprises, residences, and other service providers. MSPs manage and assume full responsibility for offering a defined set of services to their clients.

North America is expected to hold the largest market size and Asia Pacific is projected to grow at the highest rate during the forecast period

North America is expected to have the largest market size in the global AIOps platform market, as developed economies in the region are investing heavily in R&D activities. The continued spread of digital transformation across industries and growing convergence of different technologies, such as AI, ML, big data, and analytics have created an impact in the region and led to an increase in IT budget. Additionally, to meet the demands of AI-powered solutions, the region’s tech giants, such as IBM, BMC Software, CA Technologies, VMware, and Splunk, are focusing on delivering AI-powered services to help their customers in building intelligent applications. For instance, BMC Software partnered with IBM to integrate ML, predictive capabilities, and AI from IBM Watson into BMC’s leading IT service management solutions. Growing government initiatives in the region are also boosting the AIOps platform market growth. They are enhancing the existing IT infrastructure by launching programs, such National Artificial Intelligence Research and Development and smart city programs.

Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period, as the region is witnessing dynamic changes in the adoption of automation in various activities across verticals. The demand for AI-powered solutions and services is growing across the region, due to the rapid generation of large volumes of data owing to the growing use of digital technologies, IoT, and connected devices. AI-powered solutions and services, such as ML, drive innovations in the realm of data analytics and address gaps related to the previously used tools. This boosts the confidence of enterprises in the APAC region to adopt big data technologies.

In the process of determining and verifying the market size of several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with key people.

The break-up of the profiles of the primary participants is as follows:

• By Company: Tier 1 – 30 %, Tier 2 – 40%, and Tier 3 – 30%
• By Designation: C-Level – 72%, Director Level – 14%, and Others – 14%
• By Region: North America – 57%, Europe – 14%, and APAC – 29%

The AIOps platform market includes major vendors, such as IBM (US), CA Technologies (US), Micro Focus (UK), VMware (US), Splunk (US), HCL (India), AppDynamics (US), MoogSoft (US), BMC Software (US), FixStream (US), and Correlsense (Israel).

Research Coverage

The report includes an in-depth competitive analysis of the key players in the AIOps platform market along with their company profiles, recent developments, and key market strategies. The report segments the AIOps platform market by component (platforms and services), application, deployment, organization size, vertical, and region.

Reasons to buy the Report:

The AIOps platform market is segmented on the basis of component (platforms and services), application, deployment, organization size, vertical, and region.

The report is expected to help the market leaders/new entrants in the AIOps platform market in the following ways:

1. The AIOps platform market revenue stream has been estimated based on the revenues generated by vendors (excluding hardware), offering AIOps platforms and associated services, inclusive of implementation, training and education, consulting, license and maintenance, and managed services. The report provides the closest approximations of the revenue numbers for the overall market and the subsegments. The market numbers are further divided into application, deployment, organization size, vertical, and regions.
2. The report helps the stakeholders understand the pulse of the market and provides them with information on the key market drivers, restraints, challenges, and opportunities.
3. The report is expected to help the stakeholders understand the competitors and gain more insights to improve their market position. The competitive landscape section includes the competitor ecosystem, new product developments, partnerships, and mergers and acquisitions.
 



目次

1 INTRODUCTION 15
1.1 OBJECTIVES OF THE STUDY 15
1.2 MARKET DEFINITION 15
1.3 MARKET SCOPE 16
1.4 YEARS CONSIDERED FOR THE STUDY 17
1.5 CURRENCY 17
1.6 STAKEHOLDERS 17
2 RESEARCH METHODOLOGY 18
2.1 RESEARCH DATA 18
2.1.1 SECONDARY DATA 19
2.1.2 PRIMARY DATA 19
2.1.2.1 Breakdown of primaries 19
2.1.2.2 Key industry insights 20
2.2 MARKET SIZE ESTIMATION 21
2.3 RESEARCH ASSUMPTIONS 23
2.4 LIMITATIONS 24
3 EXECUTIVE SUMMARY 25
4 PREMIUM INSIGHTS 29
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE AIOPS PLATFORM MARKET 29
4.2 AIOPS PLATFORM MARKET: TOP 3 SERVICES AND REGIONS 30
4.3 AIOPS PLATFORM MARKET, BY COMPONENT, 2018 30
4.4 AIOPS PLATFORM MARKET, BY ORGANIZATION SIZE, 2018 31
4.5 AIOPS PLATFORM MARKET, BY REGION, 2018–2023 31
4.6 MARKET INVESTMENT SCENARIO 32
5 MARKET OVERVIEW 33
5.1 INTRODUCTION 33
5.2 MARKET DYNAMICS 33
5.2.1 DRIVERS 34
5.2.1.1 Growing demand of AI-based services for IT operations 34
5.2.1.2 Increasing shift of organizations’ core business to the cloud 35
5.2.1.3 Increasing end-to-end business application assurance and uptime 35
5.2.2 RESTRAINTS 35
5.2.2.1 Lack of skilled professionals 35
5.2.3 OPPORTUNITIES 36
5.2.3.1 Exponentially growing data 36
5.2.3.2 Rising need of businesses for holistic 360° visibility 36
5.2.3.3 Increasing investments in the AIOps technology 36
5.2.4 CHALLENGES 37
5.2.4.1 Growing complexities and dynamic nature of the IT architecture 37
5.2.4.2 Increasing number of changes in IT operations 37
5.3 TECHNOLOGICAL TRENDS 37
5.3.1 MACHINE LEARNING 37
5.3.2 BIG DATA ANALYTICS 38
5.4 USE CASES 38
6 AIOPS PLATFORM MARKET, BY COMPONENT 40
6.1 INTRODUCTION 41
6.2 PLATFORM 42
6.3 SERVICES 43
7 AIOPS PLATFORM MARKET, BY SERVICE 44
7.1 INTRODUCTION 45
7.2 IMPLEMENTATION SERVICES 46
7.3 LICENSE AND MAINTENANCE SERVICES 47
7.4 TRAINING AND EDUCATION SERVICES 48
7.5 CONSULTING SERVICES 48
7.6 MANAGED SERVICES 49
8 AIOPS PLATFORM MARKET, BY APPLICATION 50
8.1 INTRODUCTION 51
8.2 REAL-TIME ANALYTICS 52
8.3 APPLICATION PERFORMANCE MANAGEMENT 53
8.4 INFRASTRUCTURE MANAGEMENT 54
8.5 NETWORK AND SECURITY MANAGEMENT 55
8.6 OTHERS 56
9 AIOPS PLATFORM MARKET, BY ORGANIZATION SIZE 57
9.1 INTRODUCTION 58
9.2 SMALL AND MEDIUM-SIZED ENTERPRISES 59
9.3 LARGE ENTERPRISES 60
10 AIOPS PLATFORM MARKET, BY DEPLOYMENT 61
10.1 INTRODUCTION 62
10.2 ON-PREMISES 63
10.3 CLOUD 64

11 AIOPS PLATFORM MARKET, BY VERTICAL 65
11.1 INTRODUCTION 66
11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 67
11.3 HEALTHCARE AND LIFE SCIENCES 68
11.4 RETAIL AND CONSUMER GOODS 69
11.5 IT AND TELECOM 69
11.6 GOVERNMENT 71
11.7 MANUFACTURING 71
11.8 MEDIA AND ENTERTAINMENT 72
11.9 OTHERS 73
12 AIOPS PLATFORM MARKET, BY REGION 74
12.1 INTRODUCTION 75
12.2 NORTH AMERICA 77
12.3 EUROPE 81
12.4 ASIA PACIFIC 84
12.5 REST OF THE WORLD 89
13 COMPETITIVE LANDSCAPE 93
13.1 OVERVIEW 93
13.2 MARKET RANKING 94
13.3 COMPETITIVE SCENARIO 94
13.3.1 NEW PRODUCT LAUNCHES AND PRODUCT ENHANCEMENTS 94
13.3.2 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS 95
13.3.3 MERGERS AND ACQUISITIONS 96
14 COMPANY PROFILES 97
(Business Overview, Products Offered, Recent Developments, SWOT Analysis, MnM View)*
14.1 IBM 97
14.2 SPLUNK 101
14.3 CA TECHNOLOGIES 104
14.4 VMWARE 107
14.5 MICRO FOCUS 110
14.6 HCL TECHNOLOGIES 113
14.7 APPDYNAMICS 116
14.8 BMC SOFTWARE 118
14.9 MOOGSOFT 120
14.10 FIXSTREAM 122
14.11 KEY INNOVATORS 123
14.11.1 CORRELSENSE 123
14.11.2 AIMS INNOVATION 124
14.11.3 CORVIL 125
14.11.4 EXTRAHOP 126
14.11.5 DEVO 127
14.11.6 TECH MAHINDRA 128
14.11.7 ITRS 130
14.11.8 LOOM SYSTEMS 131
14.11.9 INTERLINK SOFTWARE 132
14.11.10 GROK 133
14.11.11 CLOUDFABRIX 134
14.11.12 DYNATRACE 135
14.11.13 LOGZ.IO 136
14.11.14 APPNOMIC SYSTEMS 137
14.11.15 OPSDATASTORE 138
14.11.16 GAVS TECHNOLOGIES 139
*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.
15 APPENDIX 140
15.1 INDUSTRY EXPERTS 140
15.2 DISCUSSION GUIDE 141
15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 144
15.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 146
15.5 AVAILABLE CUSTOMIZATIONS 148
15.6 RELATED REPORTS 148
15.7 AUTHOR DETAILS 149

 

LIST OF TABLES

TABLE 1 AIOPS PLATFORM MARKET SIZE AND GROWTH RATE,
2016–2023 (USD MILLION, Y-O-Y %) 26
TABLE 2 AI INVESTMENT, 2016 (USD BILLION) 32
TABLE 3 ENTERPRISE USE CASES, BY VERTICAL 38
TABLE 4 AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION) 41
TABLE 5 PLATFORM: AIOPS PLATFORM MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 42
TABLE 6 SERVICES: AIOPS PLATFORM MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 43
TABLE 7 AIOPS PLATFORM MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION) 45
TABLE 8 IMPLEMENTATION SERVICES: AIOPS PLATFORM MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 46
TABLE 9 LICENSE AND MAINTENANCE SERVICES: AIOPS PLATFORM MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 47
TABLE 10 TRANING AND EDUCATION SERVICES: AIOPS PLATFORM MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 48
TABLE 11 CONSULTING SERVICES: AIOPS PLATFORM MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 49
TABLE 12 MANAGED SERVICES: AIOPS PLATFORM MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 49
TABLE 13 AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2016–2023 (USD MILLION) 51
TABLE 14 REAL-TIME ANALYTICS: AIOPS PLATFORM MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 52
TABLE 15 APPLICATION PERFORMANCE MANAGEMENT: AIOPS PLATFORM MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 54
TABLE 16 INFRASTRUCTURE MANAGEMENT: AIOPS PLATFORM MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 54
TABLE 17 NETWORK AND SECURITY MANAGEMENT: AIOPS PLATFORM MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 55
TABLE 18 OTHERS: AIOPS PLATFORM MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 56
TABLE 19 AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE,
2016–2023 (USD MILLION) 58
TABLE 20 SMALL AND MEDIUM-SIZED ENTERPRISES: AIOPS PLATFORM MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 59
TABLE 21 LARGE ENTERPRISES: AIOPS PLATFORM MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 60
TABLE 22 AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2016–2023 (USD MILLION) 62
TABLE 23 ON-PREMISES: AIOPS PLATFORM MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 63
TABLE 24 CLOUD: AIOPS PLATFORM MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 64
TABLE 25 AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2016–2023 (USD MILLION) 66
TABLE 26 BANKING, FINANCIAL SERVICES, AND INSURANCE: AIOPS PLATFORM MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 68
TABLE 27 HEALTHCARE AND LIFESCIENCES: AIOPS PLATFORM MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 68
TABLE 28 RETAIL AND CONSUMER GOODS: AIOPS PLATFORM MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 69
TABLE 29 IT AND TELECOM: AIOPS PLATFORM MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 70
TABLE 30 GOVERNMENT: AIOPS PLATFORM MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 71
TABLE 31 MANUFACTURING: AIOPS PLATFORM MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 72
TABLE 32 MEDIA AND ENTERTAINMENT: AIOPS PLATFORM MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 72
TABLE 33 OTHERS: AIOPS PLATFORM MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 73
TABLE 34 AIOPS PLATFORM MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 76
TABLE 35 NORTH AMERICA: AIOPS PLATFORM MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 78
TABLE 36 NORTH AMERICA: AIOPS PLATFORM MARKET SIZE, BY SERVICE,
2016–2023 (USD MILLION) 79
TABLE 37 NORTH AMERICA: AIOPS PLATFORM MARKET SIZE, BY APPLICATION,
2016–2023 (USD MILLION) 79
TABLE 38 NORTH AMERICA: AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT,
2016–2023 (USD MILLION) 79
TABLE 39 NORTH AMERICA: AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE,
2016–2023 (USD MILLION) 80
TABLE 40 NORTH AMERICA: AIOPS PLATFORM MARKET SIZE, BY VERTICAL,
2016–2023 (USD MILLION) 80
TABLE 41 EUROPE: AIOPS PLATFORM MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 81
TABLE 42 EUROPE: AIOPS PLATFORM AMRKET SIZE, BY SERVICE,
2016–2023 (USD MILLION) 82
TABLE 43 EUROPE: AIOPS PLATFORM MARKET SIZE, BY APPLICATION,
2016–2023 (USD MILLION) 82
TABLE 44 EUROPE: AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT,
2016–2023 (USD MILLION) 82
TABLE 45 EUROPE: AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE,
2016–2023 (USD MILLION) 83
TABLE 46 EUROPE: AIOPS PLATFORM MARKET SIZE, BY VERTICAL,
2016–2023 (USD MILLION) 83
TABLE 47 ASIA-PACIFIC: AIOPS PLATFORM MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 86
TABLE 48 ASIA-PACIFIC: AIOPS PLATFORM MARKET SIZE, BY SERVICE,
2016–2023 (USD MILLION) 86
TABLE 49 ASIA-PACIFIC: AIOPS PLATFORM MARKET SIZE, BY APPLICATION,
2016–2023 (USD MILLION) 87
TABLE 50 ASIA-PACIFIC: AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT,
2016–2023 (USD MILLION) 87
TABLE 51 ASIA-PACIFIC: AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE,
2016–2023 (USD MILLION) 88
TABLE 52 ASIA-PACIFIC: AIOPS PLATFORM MARKET SIZE, BY VERTICAL,
2016–2023 (USD MILLION) 88
TABLE 53 REST OF THE WORLD: AIOPS PLATFORM MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 89
TABLE 54 REST OF THE WORLD: AIOPS PLATFORM MARKET SIZE, BY SERVICE,
2016–2023 (USD MILLION) 90
TABLE 55 REST OF THE WORLD: AIOPS PLATFORM MARKET SIZE, BY APPLICATION,
2016–2023 (USD MILLION) 90
TABLE 56 REST OF THE WORLD: AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT,
2016–2023 (USD MILLION) 91
TABLE 57 REST OF THE WORLD: AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION) 91
TABLE 58 REST OF THE WORLD: AIOPS PLATFORM MARKET SIZE, BY VERTICAL,
2016–2023 (USD MILLION) 92
TABLE 59 MARKET RANKING, 2018 94
TABLE 60 NEW PRODUCT LAUNCHES AND PRODUCT ENHANCEMENTS, 2016–2018 94
TABLE 61 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS, 2015–2018 95
TABLE 62 MERGERS AND ACQUISITIONS, 2016–2018 96

 

LIST OF FIGURES

FIGURE 1 AIOPS PLATFORM MARKET: MARKET SEGMENTATION 16
FIGURE 2 AIOPS PLATFORM MARKET: RESEARCH DESIGN 18
FIGURE 3 DATA TRIANGULATION 21
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 22
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 22
FIGURE 6 AIOPS PLATFORM MARKET: ASSUMPTIONS 23
FIGURE 7 AIOPS PLATFORM MARKET, TOP 5 SEGMENTS, 2018 27
FIGURE 8 AIOPS PLATFORM MARKET, BY REGION, 2018 28
FIGURE 9 RISING DEMAND OF AI-BASED SERVICES FOR IT OPERATIONS AND INCREASING SHIFT OF ORGANIZATIONS’ CORE BUSINESS TOWARD CLOUD ARE EXPECTED TO DRIVE GROWTH OF THE AIOPS PLATFORM MARKET 29
FIGURE 10 IMPLEMENTATION SERVICES AND NORTH AMERICAN REGION ARE ESTIMATED TO HAVE THE LARGEST MARKET SHARES IN 2018 30
FIGURE 11 PLATFORM SEGMENT IS EXPECTED TO HOLD THE LARGER MARKET SIZE DURING THE FORECAST PERIOD 30
FIGURE 12 LARGE ENTERPRISES SEGMENT IS EXPECTED TO HOLD THE LARGER MARKET SHARE DURING THE FORECAST PERIOD 31
FIGURE 13 NORTH AMERICA IS EXPECTED TO HOLD THE LARGEST MARKET SIZE DURING
THE FORECAST PERIOD 31
FIGURE 14 NORTH AMERICA IS EXPECTED TO EMERGE AS THE BEST MARKET FOR INVESTMENT IN THE NEXT 5 YEARS 32
FIGURE 15 AIOPS PLATFORM MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 34
FIGURE 16 PLATFORMS SEGMENT IS EXPECTED TO HAVE THE LARGER MARKET SIZE DURING THE FORECAST PERIOD 41
FIGURE 17 NORTH AMERICA IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING
THE FORECAST PERIOD 42
FIGURE 18 NORTH AMERICA IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING
THE FORECAST PERIOD 43
FIGURE 19 IMPLEMENTATION SERVICES SEGMENT IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD 45
FIGURE 20 NORTH AMERICA IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING
THE FORECAST PERIOD 46
FIGURE 21 NORTH AMERICA IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING
THE FORECAST PERIOD 47
FIGURE 22 REAL-TIME ANALYTICS IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD 51
FIGURE 23 NORTH AMERICA IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING
THE FORECAST PERIOD 52
FIGURE 24 ASIA PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING
THE FORECAST PERIOD 53
FIGURE 25 LARGE ENTERPRISES SEGMENT IS EXPECTED TO HAVE THE LARGER MARKET SIZE DURING THE FORECAST PERIOD 58
FIGURE 26 EUROPE IS EXPECTED TO HAVE THE SECOND LARGEST MARKET SIZE DURING
THE FORECAST PERIOD 59
FIGURE 27 THE LARGE ENTERPRISES SEGMENT IN ASIA PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 60
FIGURE 28 ON-PREMISES SEGMENT IS EXPECTED TO HAVE THE LARGER MARKET SIZE DURING THE FORECAST PERIOD 62
FIGURE 29 ASIA PACIFIC IS EXPECTED TO HAVE THE SECOND LARGEST MARKET SIZE DURING THE FORECAST PERIOD 63
FIGURE 30 BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD 66
FIGURE 31 ASIA PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 67
FIGURE 32 NORTH AMERICA IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING
THE FORECAST PERIOD 70
FIGURE 33 ASIA PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING
THE FORECAST PERIOD 75
FIGURE 34 NORTH AMERICA IS EXPECTED TO BE AN ATTRACTIVE DESTINATION FOR INVESTMENTS 76
FIGURE 35 NORTH AMERICA: MARKET SNAPSHOT 77
FIGURE 36 PLATFORM SEGMENT IS EXPECTED TO DOMINATE THE NORTH AMERICAN AIOPS PLATFORM MARKET DURING THE FORECAST PERIOD 78
FIGURE 37 PLATFORM SEGMENT IS EXPECTED TO DOMINATE THE AIOPS PLATFORM MARKET IN EUROPE DURING THE FORECAST PERIOD 81
FIGURE 38 ASIA PACIFIC: MARKET SNAPSHOT 85
FIGURE 39 PLATFORM SEGMENT IS EXPECTED TO DOMINATE THE AIOPS PLATFORM MARKET IN ASIA PACIFIC DURING THE FORECAST PERIOD 86
FIGURE 40 PLATFORM SEGMENT IS EXPECTED TO DOMINATE THE AIOPS PLATFORM MARKET IN REST OF THE WORLD DURING THE FORECAST PERIOD 89
FIGURE 41 KEY DEVELOPMENTS BY LEADING PLAYERS IN THE AIOPS PLATFORM MARKET DURING 2015–2018 93
FIGURE 42 IBM: COMPANY SNAPSHOT 98
FIGURE 43 SPLUNK: COMPANY SNAPSHOT 101
FIGURE 44 CA TECHNOLOGIES: COMPANY SNAPSHOT 104
FIGURE 45 VMWARE: COMPANY SNAPSHOT 107
FIGURE 46 MICRO FOCUS: COMPANY SNAPSHOT 110
FIGURE 47 HCL TECHNOLOGIES: COMPANY SNAPSHOT 113
FIGURE 48 TECH MAHINDRA: COMPANY SNAPSHOT 128
 

 

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プレスリリース

[プレスリリース原文]

AIOps Platform Market worth 11.02 billion USD by 2023


July 17, 2018

The report "AIOps Platform Market by Component, Service (Implementation, Consulting, and Managed Services), Application (Real-time Analytics, Infrastructure Management, and Application Performance Management), Vertical, and Region - Global Forecast to 2023", The global AIOps platform market size is expected to grow from USD 2.55 billion in 2018 to USD 11.02 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 34.0% during the forecast period (2018–2023). The major growth for the market include the growing demand of AI-based services in IT operations, increasing shift of organizations core business toward the cloud, and increasing investments in the AIOps technology. In addition, exponentially growing data volumes and increasing end-to-end business application assurance and uptime are some of the other growth factors for the market.

The infrastructure management is expected to be the fastest-growing application in the AIOps platform market during the forecast period

In the digitalization era, the capacity to have flexible and dynamic IT infrastructure is mandatory. Ability to foresee and provision for future infrastructure requirement is a necessity. AIOps platforms track and manage cloud costs across multicloud infrastructure with end-to-end visibility. The platform also simulates migrations and helps deploy the right resources at the right price point. Infrastructure management helps optimize resource usage and reveals unused services. The platform aligns cloud expenses with business needs, customized views, and resource costs.

The managed service segment is expected to hold the largest market size in the AIOps platform market during the forecast period

Managed services offerings have been evolved owing to new technological advancements, such as AIOps applications which allow IT professionals to operate beyond the usual specialized scenarios and expand into today’s more complex and heterogeneous business environments. These services refer to the outsourcing of in-house functionalities, so that they can be managed by third-party Managed Service Providers (MSPs). Managed services include consulting, integration, and maintenance of deployed solutions. An MSP is a third-party contractor who delivers network-based services, applications, and equipment to enterprises, residences, and other service providers.

North America is expected to have the largest market share in the AIOps platform market during the forecast period

North America is expected to have the largest market size in the global AIOps platform market. The adoption of AI-powered services is expected to grow in the region, owing to the growing demand for analyzing large volumes of data to enhance the consumer experience. Furthermore, technological advancements, coupled with the increasing need for intelligent business processes and rising adoption of digital technologies across the region, are expected to fuel the growth of the global AIOps platform market. The increasing number of initiatives by governments for enhancing the existing infrastructure is expected to drive the demand for AIOps platforms across the region during the forecast period. For instance, the report “Artificial Intelligence, Automation, and the Economy,” published in December 2016 by the US government, describes various developments, such as long-term investments in AI, focused approach toward analyzing and solving social implications of AI, and security and safety of AI systems, to boost the adoption of AI-powered solutions across the country.

Major vendors in the global AIOps platform market include IBM (US), Micro Focus (US), CA Technologies (US), BMC Software (US), MoogSoft (US), and Splunk (US).

 

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