Data Mining Tools Market by Component (Tools and Services), Business Function (Marketing, Finance, Supply Chain and Logistics, and Operations), Industry Vertical, Deployment Type, Organization Size, and Region - Global Forecast to 2023

データマイニングツールの世界市場予測(~2023年)

◆タイトル:Data Mining Tools Market by Component (Tools and Services), Business Function (Marketing, Finance, Supply Chain and Logistics, and Operations), Industry Vertical, Deployment Type, Organization Size, and Region - Global Forecast to 2023
◆商品コード:TC6280
◆調査・発行会社:MarketsandMarkets
◆発行日:2018年5月14日
◆ページ数:152
◆レポート形式:PDF / 英語
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The data mining tools market is expected to grow at a CAGR of 11.9% during the forecast period.The data mining tools market size is expected to grow from USD 591.2 million in 2018 to USD 1,039.1 million by 2023, at a Compound Annual Growth Rate (CAGR) of 11.9% during the forecast period. The growing need among organizations across industry verticals to gain valuable insights into the data generated from different business processes, technological advancements, and the use of cloud-based solutions are expected to drive the growth of the data mining tools market. Changing government rules and regulation policies are the major factors expected to restrict the growth of the data mining tools market.
The managed services segment is expected to account for the largest market size during the forecast period.
Managed services are provided by third-party vendors and include the monitoring and maintenance of computers, networks, and software. Organizations prefer to take the help of specialized data mining tools and service providers to gain crucial information from their raw data (structured and unstructured). Managed service providers help organizations improve their productivity and ensure the smooth functioning of business processes with the effective utilization of resources. Moreover, these services help organizations formulate effective strategies to solve complex business problems.
The Small and Medium-sized Enterprises (SMEs) segment is expected to grow at a higher CAGR during the forecast period.
The Small and Medium-sized Enterprises (SMEs) segment is expected to grow at a higher CAGR during the forecast period. Cost-effectiveness is the important need of SMEs, as they always face constraints in marketing themselves and gaining visibility, due to their limited budgets. In this digital era, data mining tools can be extremely helpful for organizations in achieving their business objectives, generating revenues, and finding new business opportunities with important insights from data. Most SMEs prefer cloud-based solutions over on-premises solutions, and this adoption trend would accelerate in the near future, enabling the cloud deployment type to have a considerable market size during the forecast period. SMEs have a huge potential to flourish in the data mining tools market during the forecast period.
Asia Pacific (APAC) is expected to witness the highest growth rate during the forecast period.
North America is estimated to account for the largest market share in 2018, while APAC is expected to grow at the highest CAGR during the forecast period. APAC is expected to be a money-spinning market for data mining tool and service providers during the forecast period, considering the untapped opportunities and increasing commercial investment in different industry verticals in the region. Multinational companies are expected to emphasize on exploring the APAC market by partnering with local companies, channel partners, and technology partners. Moreover, the increasing adoption of cloud and mobile technologies by large diversified population, startup entrepreneurs, and booming eCommerce retailers have led to the rapid implementation of data mining tools and services in the APAC countries, such as Japan, India, China, and Australia.
In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with the key people. The break-up of the profiles of the primary participants is given below:
• By Company Type: Tier 1 – 40%, Tier 2 – 35%, and Tier 3 – 25%
• By Designation: C-level – 45%, D-level – 30%, and Others – 25%
• By Region: North America – 35%, APAC– 30%, Europe – 20%, and RoW – 15%
Major vendors in the data mining tools market include IBM (US), Microsoft (US), SAS Institute (US), Oracle (US), Intel (US), SAP SE (Germany), RapidMiner (US), KNIME (Switzerland), Teradata (US), MathWorks (US), H2O.ai (US), Alteryx (US), FICO (US), Angoss (Canada), Salford Systems (US), BlueGranite (US), Megaputer (US), Biomax Informatics (Germany), Frontline Systems (US), Dataiku (France), Wolfram (US), Reltio (US), SenticNet (Singapore), Business Insight (Belgium), and SunTec India (Delhi).

Research Coverage
The data mining tools market is segmented by component, business function, industry vertical, deployment type, organization size, and region. The report would help market leaders/new entrants in this market in the following ways:
The report segments the data mining tools market comprehensively and provides the closest approximations of the revenue numbers for the overall market and its subsegments. The market numbers are further split across different industry verticals and regions. Moreover, the report splits the market into on-premises and cloud deployment types.
Reasons to Buy the Report
From an insight perspective, this research report focuses on various levels of analysis–market sizing of the global market and its subsegments and analysis of the top players and company profiles, which together comprise and discuss basic views on the competitive landscape; emerging and high-growth segments of the data mining tools market; and high-growth regions and their respective drivers, restraints, challenges, and opportunities.
The report would enrich both established firms as well as new entrants/smaller firms to gauge the pulse of the market, which in turn, could help firms in garnering a greater market share.

【レポートの目次】

TABLE OF CONTENTS

1 INTRODUCTION 17
1.1 OBJECTIVES OF THE STUDY 17
1.2 MARKET DEFINITION 17
1.3 MARKET SCOPE 18
1.4 YEARS CONSIDERED FOR THE STUDY 19
1.5 CURRENCY 20
1.6 STAKEHOLDERS 20
2 RESEARCH METHODOLOGY 21
2.1 RESEARCH DATA 21
2.1.1 SECONDARY DATA 22
2.1.2 PRIMARY DATA 22
2.1.2.1 Breakdown of primaries 23
2.1.2.2 Key industry insights 23
2.2 MARKET SIZE ESTIMATION 24
2.3 RESEARCH ASSUMPTIONS AND LIMITATIONS 26
2.3.1 ASSUMPTIONS 26
2.3.2 LIMITATIONS 26
3 EXECUTIVE SUMMARY 27
4 PREMIUM INSIGHTS 31
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE DATA MINING TOOLS MARKET 31
4.2 DATA MINING TOOLS MARKET, BY DEPLOYMENT TYPE 31
4.3 DATA MINING TOOLS MARKET, BY COMPONENT 32
4.4 DATA MINING TOOLS MARKET, BY ORGANIZATION SIZE 32
4.5 DATA MINING TOOLS MARKET: TOP 3 INDUSTRY VERTICALS AND REGIONS 33
5 MARKET OVERVIEW 34
5.1 INTRODUCTION 34
5.2 MARKET DYNAMICS 34
5.2.1 DRIVERS 35
5.2.1.1 Significant increase in data volume 35
5.2.1.2 Increased awareness among enterprises to leverage the available data assets 36
5.2.2 RESTRAINTS 36
5.2.2.1 Government rules and regulations 36

5.2.3 OPPORTUNITIES 36
5.2.3.1 Increasing need to create insights from raw data 36
5.2.3.2 Need for embedded intelligence to gain competitive advantage 37
5.2.4 CHALLENGES 37
5.2.4.1 Data privacy, security, and reliability 37
5.2.4.2 Advent of BI and AI raising concerns for data mining vendors 37
6 DATA MINING TOOLS MARKET, BY COMPONENT 38
6.1 INTRODUCTION 39
6.2 TOOLS 40
6.3 SERVICES 40
7 DATA MINING TOOLS MARKET, BY SERVICE 42
7.1 INTRODUCTION 43
7.2 MANAGED SERVICES 44
7.3 CONSULTING AND IMPLEMENTATION 44
7.4 OTHERS 45
8 DATA MINING TOOLS MARKET, BY BUSINESS FUNCTION 47
8.1 INTRODUCTION 48
8.2 MARKETING 49
8.3 FINANCE 50
8.4 SUPPLY CHAIN AND LOGISTICS 50
8.5 OPERATIONS 51
9 DATA MINING TOOLS MARKET, BY INDUSTRY VERTICAL 53
9.1 INTRODUCTION 54
9.2 RETAIL 55
9.3 BANKING, FINANCIAL SERVICES, AND INSURANCE 56
9.4 HEALTHCARE AND LIFE SCIENCES 57
9.5 TELECOM AND IT 57
9.6 GOVERNMENT AND DEFENSE 58
9.7 ENERGY AND UTILITIES 59
9.8 MANUFACTURING 60
9.9 OTHERS 60
10 DATA MINING TOOLS MARKET, BY DEPLOYMENT TYPE 62
10.1 INTRODUCTION 63
10.2 ON-PREMISES 64
10.3 CLOUD 64

11 DATA MINING TOOLS MARKET, BY ORGANIZATION SIZE 66
11.1 INTRODUCTION 67
11.2 LARGE ENTERPRISES 68
11.3 SMALL AND MEDIUM-SIZED ENTERPRISES 69
12 DATA MINING TOOLS MARKET, BY REGION 70
12.1 INTRODUCTION 71
12.2 NORTH AMERICA 73
12.2.1 UNITED STATES 74
12.2.2 CANADA 74
12.3 EUROPE 77
12.3.1 UNITED KINGDOM 77
12.3.2 GERMANY 77
12.3.3 FRANCE 77
12.3.4 REST OF EUROPE 78
12.4 ASIA PACIFIC 81
12.4.1 AUSTRALIA AND NEW ZEALAND 83
12.4.2 JAPAN 83
12.4.3 CHINA 83
12.4.4 REST OF ASIA PACIFIC 83
12.5 MIDDLE EAST AND AFRICA 86
12.5.1 KINGDOM OF SAUDI ARABIA 86
12.5.2 UNITED ARAB EMIRATES 86
12.5.3 SOUTH AFRICA 86
12.5.4 REST OF MIDDLE EAST AND AFRICA 87
12.6 LATIN AMERICA 90
12.6.1 BRAZIL 90
12.6.2 MEXICO 90
12.6.3 REST OF LATIN AMERICA 90
13 COMPETITIVE LANDSCAPE 94
13.1 OVERVIEW 94
13.2 MARKET RANKING 95
13.3 COMPETITIVE SCENARIO 95
13.3.1 NEW PRODUCT/SERVICE LAUNCHES AND PRODUCT UPGRADATIONS 96
13.3.2 BUSINESS EXPANSIONS 97
13.3.3 ACQUISITIONS 97
13.3.4 PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS 98

14 COMPANY PROFILES 100
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
14.1 IBM 100
14.2 SAS INSTITUTE 103
14.3 ORACLE 106
14.4 MICROSOFT 109
14.5 TERADATA 112
14.6 MATHWORKS 114
14.7 H2O.AI 115
14.8 INTEL 117
14.9 ALTERYX 119
14.10 SAP 121
14.11 RAPIDMINER 123
14.12 KNIME 125
14.13 FICO 127
14.14 SALFORD SYSTEMS 129
14.15 BLUEGRANITE 130
14.16 ANGOSS SOFTWARE 131
14.17 MEGAPUTER INTELLIGENCE 133
14.18 BIOMAX INFORMATICS 134
14.19 FRONTLINE SYSTEMS 135
14.20 SUNTEC INDIA 136
14.21 DATAIKU 137
14.22 WOLFRAM RESEARCH 138
14.23 RELTIO 139
14.24 SENTICNET 140
14.25 BUSINESS INSIGHT 141
*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.
15 APPENDIX 142
15.1 KEY INDUSTRY INSIGHTS 142
15.2 DISCUSSION GUIDE 143
15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 147
15.4 INTRODUCING RT: REAL TIME MARKET INTELLIGENCE 149
15.5 AVAILABLE CUSTOMIZATIONS 150
15.6 RELATED REPORTS 150
15.7 AUTHOR DETAILS 151

LIST OF TABLES

TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2014–2017 20
TABLE 2 DATA MINING TOOLS MARKET SIZE AND GROWTH RATE,
2016–2023 (USD MILLION, Y-O-Y %) 28
TABLE 3 DATA MINING TOOLS MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION) 39
TABLE 4 TOOLS: DATA MINING TOOLS MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 40
TABLE 5 SERVICES: DATA MINING TOOLS MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 41
TABLE 6 DATA MINING TOOLS MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION) 43
TABLE 7 MANAGED SERVICES: DATA MINING TOOLS MARKET SIZE, BY REGION
2016–2023 (USD MILLION) 44
TABLE 8 CONSULTING AND IMPLEMENTATION: DATA MINING TOOLS MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 45
TABLE 9 OTHERS: DATA MINING TOOLS MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 46
TABLE 10 DATA MINING TOOLS MARKET, BY BUSINESS FUNCTION,
2016–2023 (USD MILLION) 48
TABLE 11 MARKETING: DATA MINING TOOLS MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 49
TABLE 12 FINANCE: DATA MINING TOOLS MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 50
TABLE 13 SUPPLY CHAIN AND LOGISTICS: DATA MINING TOOLS MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 51
TABLE 14 OPERATIONS: DATA MINING TOOLS MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 52
TABLE 15 DATA MINING TOOLS MARKET SIZE, BY INDUSTRY VERTICAL,
2016–2023 (USD MILLION) 55
TABLE 16 RETAIL: DATA MINING TOOLS MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 56
TABLE 17 BANKING, FINANCIAL SERVICES, AND INSURANCE: DATA MINING TOOLS MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 56
TABLE 18 HEALTHCARE AND LIFE SCIENCES: DATA MINING TOOLS MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 57
TABLE 19 TELECOM AND IT: DATA MINING TOOLS MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 58
TABLE 20 GOVERNMENT AND DEFENSE: DATA MINING TOOLS MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 59
TABLE 21 ENERGY AND UTILITIES: DATA MINING TOOLS MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 59
TABLE 22 MANUFACTURING: DATA MINING TOOLS MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 60
TABLE 23 OTHERS: DATA MINING TOOLS MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 61
TABLE 24 DATA MINING TOOLS MARKET SIZE, BY DEPLOYMENT TYPE,
2016–2023 (USD MILLION) 63
TABLE 25 ON-PREMISES: DATA MINING TOOLS MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 64
TABLE 26 CLOUD: DATA MINING TOOLS MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 65
TABLE 27 DATA MINING TOOLS MARKET SIZE, BY ORGANIZATION SIZE,
2016–2023 (USD MILLION) 67
TABLE 28 LARGE ENTERPRISES: DATA MINING TOOLS MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 68
TABLE 29 SMALL AND MEDIUM-SIZED ENTERPRISES: DATA MINING TOOLS MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 69
TABLE 30 DATA MINING TOOLS MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 72
TABLE 31 NORTH AMERICA: DATA MINING TOOLS MARKET SIZE, BY COUNTRY,
2016–2023 (USD MILLION) 74
TABLE 32 NORTH AMERICA: DATA MINING TOOLS MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 74
TABLE 33 NORTH AMERICA: DATA MINING TOOLS MARKET SIZE, BY SERVICE,
2016–2023 (USD MILLION) 75
TABLE 34 NORTH AMERICA: DATA MINING TOOLS MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION) 75
TABLE 35 NORTH AMERICA: DATA MINING TOOLS MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION) 76
TABLE 36 NORTH AMERICA: DATA MINING TOOLS MARKET SIZE, BY DEPLOYMENT TYPE, 2016–2023 (USD MILLION) 76
TABLE 37 NORTH AMERICA: DATA MINING TOOLS MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION) 77
TABLE 38 EUROPE: DATA MINING TOOLS MARKET SIZE, BY COUNTRY,
2016–2023 (USD MILLION) 78
TABLE 39 EUROPE: DATA MINING TOOLS MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 78
TABLE 40 EUROPE: DATA MINING TOOLS MARKET SIZE, BY SERVICE,
2016–2023 (USD MILLION) 79
TABLE 41 EUROPE: DATA MINING TOOLS MARKET SIZE, BY BUSINESS FUNCTION,
2016–2023 (USD MILLION) 79
TABLE 42 EUROPE: DATA MINING TOOLS MARKET SIZE, BY INDUSTRY VERTICAL,
2016–2023 (USD MILLION) 80
TABLE 43 EUROPE: DATA MINING TOOLS MARKET SIZE, BY DEPLOYMENT TYPE,
2016–2023 (USD MILLION) 80
TABLE 44 EUROPE: DATA MINING TOOLS MARKET SIZE, BY ORGANIZATION SIZE,
2016–2023 (USD MILLION) 81
TABLE 45 ASIA PACIFIC: DATA MINING TOOLS MARKET SIZE, BY COUNTRY,
2016–2023 (USD MILLION) 83
TABLE 46 ASIA PACIFIC: DATA MINING TOOLS MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 84
TABLE 47 ASIA PACIFIC: DATA MINING TOOLS MARKET SIZE, BY SERVICE,
2016–2023 (USD MILLION) 84
TABLE 48 ASIA PACIFIC: DATA MINING TOOLS MARKET SIZE, BY BUSINESS FUNCTION,
2016–2023 (USD MILLION) 84
TABLE 49 ASIA PACIFIC: DATA MINING TOOLS MARKET SIZE, BY INDUSTRY VERTICAL,
2016–2023 (USD MILLION) 85
TABLE 50 ASIA PACIFIC: DATA MINING TOOLS MARKET SIZE, BY DEPLOYMENT TYPE,
2016–2023 (USD MILLION) 85
TABLE 51 ASIA PACIFIC: DATA MINING TOOLS MARKET SIZE, BY ORGANIZATION SIZE,
2016–2023 (USD MILLION) 86
TABLE 52 MIDDLE EAST AND AFRICA: DATA MINING TOOLS MARKET SIZE, BY COUNTRY, 2016–2023 (USD MILLION) 87
TABLE 53 MIDDLE EAST AND AFRICA: DATA MINING TOOLS MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION) 87
TABLE 54 MIDDLE EAST AND AFRICA: DATA MINING TOOLS MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION) 88
TABLE 55 MIDDLE EAST AND AFRICA: DATA MINING TOOLS MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION) 88
TABLE 56 MIDDLE EAST AND AFRICA: DATA MINING TOOLS MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION) 89
TABLE 57 MIDDLE EAST AND AFRICA: DATA MINING TOOLS MARKET SIZE, BY DEPLOYMENT TYPE, 2016–2023 (USD MILLION) 89
TABLE 58 MIDDLE EAST AND AFRICA: DATA MINING TOOLS MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION) 90
TABLE 59 LATIN AMERICA: DATA MINING TOOLS MARKET SIZE, BY COUNTRY,
2016–2023 (USD MILLION) 91
TABLE 60 LATIN AMERICA: DATA MINING TOOLS MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 91
TABLE 61 LATIN AMERICA: DATA MINING TOOLS MARKET SIZE, BY SERVICE,
2016–2023 (USD MILLION) 91
TABLE 62 LATIN AMERICA: DATA MINING TOOLS MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION) 92
TABLE 63 LATIN AMERICA: DATA MINING TOOLS MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION) 92
TABLE 64 LATIN AMERICA: DATA MINING TOOLS MARKET SIZE, BY DEPLOYMENT TYPE, 2016–2023 (USD MILLION) 93
TABLE 65 LATIN AMERICA: DATA MINING TOOLS MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION) 93
TABLE 66 MARKET RANKING FOR THE DATA MINING TOOLS MARKET, 2018 95
TABLE 67 NEW PRODUCT/SERVICE LAUNCHES AND PRODUCT UPGRADATIONS 96
TABLE 68 BUSINESS EXPANSIONS 97
TABLE 69 ACQUISITIONS 97
TABLE 70 PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS 98




LIST OF FIGURES

FIGURE 1 DATA MINING TOOLS MARKET: MARKET SEGMENTATION 18
FIGURE 2 REGIONAL SCOPE 19
FIGURE 3 DATA MINING TOOLS MARKET: RESEARCH DESIGN 21
FIGURE 4 BREAKDOWN OF PRIMARIES: BY COMPANY, DESIGNATION, AND REGION 23
FIGURE 5 DATA TRIANGULATION 24
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 25
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 25
FIGURE 8 DATA MINING TOOLS MARKET: ASSUMPTIONS 26
FIGURE 9 DATA MINING TOOLS MARKET: TOP 3 SEGMENTS IN 2018 28
FIGURE 10 DATA MINING TOOLS MARKET, BY COMPONENT 29
FIGURE 11 DATA MINING TOOLS MARKET, BY BUSINESS FUNCTION 29
FIGURE 12 DATA MINING TOOLS MARKET, BY REGION 30
FIGURE 13 INCREASED AWARENESS AMONG ENTERPRISES TO LEVERAGE THE
AVAILABLE DATA ASSETS IS LIKELY TO DRIVE THE MARKET GROWTH DURING
THE FORECAST PERIOD 31
FIGURE 14 CLOUD DEPLOYMENT TYPE IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 31
FIGURE 15 SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 32
FIGURE 16 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 32
FIGURE 17 RETAIL INDUSTRY VERTICAL AND NORTH AMERICAN REGION ARE ESTIMATED TO DOMINATE THE DATA MINING TOOLS MARKET IN 2018 33
FIGURE 18 DATA MINING TOOLS MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 35
FIGURE 19 SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 39
FIGURE 20 MANAGED SERVICES SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 43
FIGURE 21 SUPPLY CHAIN AND LOGISTICS SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 48
FIGURE 22 BANKING, FINANCIAL SERVICES, AND INSURANCE INDUSTRY VERTICAL IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 54
FIGURE 23 CLOUD DEPLOYMENT TYPE IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 63
FIGURE 24 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 67
FIGURE 25 NORTH AMERICA IS EXPECTED TO HOLD THE LARGEST MARKET SHARE DURING THE FORECAST PERIOD 71
FIGURE 26 ASIA PACIFIC IS EXPECTED TO REGISTER THE HIGHEST GROWTH RATE DURING THE FORECAST PERIOD 72
FIGURE 27 NORTH AMERICA: MARKET SNAPSHOT 73
FIGURE 28 ASIA PACIFIC: MARKET SNAPSHOT 82
FIGURE 29 KEY DEVELOPMENTS OF THE LEADING PLAYERS IN THE DATA MINING TOOLS MARKET, 2015–2018 94
FIGURE 30 MARKET EVALUATION FRAMEWORK 95
FIGURE 31 IBM: COMPANY SNAPSHOT 100
FIGURE 32 IBM: SWOT ANALYSIS 102
FIGURE 33 SAS INSTITUTE: COMPANY SNAPSHOT 103
FIGURE 34 SAS INSTITUTE: SWOT ANALYSIS 105
FIGURE 35 ORACLE: COMPANY SNAPSHOT 106
FIGURE 36 ORACLE: SWOT ANALYSIS 107
FIGURE 37 MICROSOFT: COMPANY SNAPSHOT 109
FIGURE 38 MICROSOFT: SWOT ANALYSIS 111
FIGURE 39 TERADATA: COMPANY SNAPSHOT 112
FIGURE 40 TERADATA: SWOT ANALYSIS 113
FIGURE 41 INTEL: COMPANY SNAPSHOT 117
FIGURE 42 ALTERYX: COMPANY SNAPSHOT 119
FIGURE 43 SAP: COMPANY SNAPSHOT 121
FIGURE 44 FICO: COMPANY SNAPSHOT 127




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