Data Fusion Market by Business Function (IT, Sales and Marketing, Operations, Finance, and HR), Component (Tools and Services), Deployment Model (On-Premises and On-Demand), Organization Size, Industry, and Region - Global Forecast to 2022

データフュージョンの世界市場予測(~2022年):業務機能、構成要素、導入モデル、企業規模、産業、地域別分析

◆タイトル:Data Fusion Market by Business Function (IT, Sales and Marketing, Operations, Finance, and HR), Component (Tools and Services), Deployment Model (On-Premises and On-Demand), Organization Size, Industry, and Region - Global Forecast to 2022
◆商品コード:TC-6070
◆調査・発行会社:MarketsandMarkets
◆発行日:2018年3月7日
◆ページ数:144
◆レポート形式:PDF / 英語
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◆産業分野:IT・通信
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【レポートの概要】

MarketsandMarketsが発行した当調査レポートでは、データフュージョンの世界市場について調査・分析し、エグゼクティブサマリー、市場インサイト、市場概観/市場動向、産業動向、業務機能別分析、構成要素別分析、導入方式別分析、産業別分析、データフュージョンの世界市場規模及び予測、市場動向、競争状況、関連企業分析などの情報をお届けいたします。

Rapid adoption of data-driven decision-making is driving the market growthMarketsandMarkets estimates the global data fusion market to grow from USD 7.62 billion in 2017 to USD 15.92 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 15.9% during the forecast period. The data fusion market has grown rapidly due to the transition from traditional techniques of data management, such as data warehouse, to advanced data management techniques along with the enormous adoption of data-driven decision-making across industry verticals. However, high-investment costs and fluctuations in regulatory policies are expected to limit the market growth.
Information Technology business function is expected to have the largest market size in 2017
Several organizations have evolved their Information Technology (IT) monitoring tools to gain more visibility into their data. Although with the right tools, early detection of issues before their arrival could be accomplished. Data fusion enables big data from IT to integrate and convert into relevant and actionable insights for a rapid problem resolution. It enables organizations to extract insights from the key operational data types, such as log files, performance metrics, events, and trouble tickets, so that they could proactively avoid outages, achieve a faster meantime to repair, and reduce cost through greater operational efficiency. Hence, the IT business function is estimated to have the largest market share in 2022.
The media and entertainment industry vertical is expected to have the highest growth rate during the forecast period
Data fusion solutions have been deployed across various industry verticals, including Banking, Financial Services, and Insurance (BFSI), telecom and IT, retail and consumer goods, manufacturing, healthcare and life sciences, energy and utilities, transportation and logistics, media and entertainment, government and defense, and others (travel and hospitality, and academia and research). The media and entertainment industry vertical is expected to witness the highest CAGR during the forecast period. This is attributed to ease in various manual processes provided through data fusion solutions by maintaining and collecting records, which helps boost the operational efficiency by maximizing the route operations and utilizing the workforce appropriately.
North America is expected to account for the largest market share and APAC is projected to grow at the highest rate during the forecast period
Furthermore, followed by Europe, North America is expected to continue being the largest revenue generating region for the data fusion vendors for the next 5 years. This is majorly due to the presence of various developed economies, such as Canada and the US, and because of the high focus on innovations through Research and Development (R&D) and technology across industry verticals. Asia Pacific (APAC) is expected to be the fastest-growing region in the data fusion market, owing to the increase in adoption of Internet of Things (IoT), smart technologies, and government initiatives, such as smart cities in APAC countries, including China and India.
In-depth interviews were conducted with the Chief Executive Officers (CEOs), marketing directors, other innovation and technology directors, and executives from various key organizations operating in the data fusion market.
 By company type – Tier 1 – 22%, Tier 2- 30%, Tier 3 – 48%
 By designation – C-Level – 30%, Director Level – 45%. Others – 25%
 By region – North America – 41%, Europe – 25%, APAC – 20%, RoW – 14%

Research Coverage:
The global data fusion market is segmented based on component, business function, deployment model, organization size, industry vertical, and region. The scope of the report is to cover a detailed information related to the major factors influencing the growth of the data fusion market, such as drivers, restraints, challenges, and opportunities. A detailed analysis of the key industry players is accomplished to provide insights into their business overview, tools and services, key strategies, new product launches, mergers and acquisitions, partnerships, agreements, collaborations, and recent developments associated with the data fusion market.

Reasons to buy the report:
The report is expected to help the market leaders/new entrants in the market by the following ways:
1. The report segments the global data fusion market comprehensively and provides the closest approximations of the revenue numbers for the overall market and the subsegments. The market numbers are further split across different industries and regions.
2. The report helps the stakeholders understand the pulse of the market and provides information on key market drivers, restraints, challenges, and opportunities.
3. This report is expected to help stakeholders better understand the competitors and gain more insights for better positioning of their businesses. There is a separate section on competitive landscape, including competitor ecosystem, and mergers and acquisitions. Besides, there are company profiles of 10+ players offering services in this market. In this section, market internals are provided that could place the stakeholders ahead of the competitors.

【レポートの目次】

TABLE OF CONTENTS

1 INTRODUCTION 14
1.1 OBJECTIVES OF THE STUDY 14
1.2 MARKET DEFINITION 14
1.3 MARKET SCOPE 15
1.4 YEARS CONSIDERED FOR THE STUDY 16
1.5 CURRENCY 16
1.6 STAKEHOLDERS 16
2 RESEARCH METHODOLOGY 17
2.1 RESEARCH DATA 17
2.1.1 SECONDARY DATA 18
2.1.2 PRIMARY DATA 18
2.1.2.1 Breakdown of primaries 19
2.1.2.2 Key industry insights 19
2.2 MARKET SIZE ESTIMATION 21
2.3 RESEARCH ASSUMPTIONS 23
2.4 LIMITATIONS 23
3 EXECUTIVE SUMMARY 24
4 PREMIUM INSIGHTS 31
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE DATA FUSION MARKET 31
4.2 DATA FUSION MARKET: BY REGION 32
4.3 DATA FUSION MARKET, BY INDUSTRY AND REGION 33
4.4 DATA FUSION MARKET: PROFESSIONAL SERVICES, BY REGION 34
5 MARKET OVERVIEW AND INDUSTRY TRENDS 35
5.1 MARKET OVERVIEW 35
5.1.1 INTRODUCTION 35
5.2 MARKET DYNAMICS 35
5.2.1 DRIVERS 36
5.2.1.1 Rapid adoption of data-driven decision-making 36
5.2.1.2 Introduction of IIoT 37
5.2.2 RESTRAINTS 37
5.2.2.1 High investment costs 37
5.2.2.2 Varying structure of regulation policies 38
5.2.3 OPPORTUNITIES 38
5.2.3.1 Higher adoption of data fusions tools and services among SMEs 38
5.2.3.2 The need to create insights from unused data 38
5.2.4 CHALLENGES 39
5.2.4.1 Managing and maintaining data quality 39
5.2.4.2 Lack of skilled workforce 39
5.3 INDUSTRY TRENDS 40
5.3.1 PILLARS OF DATA FUSION 40
5.3.1.1 Analysis and fusion 40
5.3.1.2 Security and privacy 40
5.3.1.3 Collaboration and information sharing 40
5.3.2 DATA FUSION MARKET: USE CASES 41
5.3.2.1 Introduction 41
5.3.2.2 Use case 1: Disaster response 41
5.3.2.3 Use case 2: Cybersecurity 42
5.3.2.4 Use case 3: Predictive maintenance 42
6 DATA FUSION MARKET, BY BUSINESS FUNCTION 43
6.1 INTRODUCTION 44
6.2 INFORMATION TECHNOLOGY 45
6.3 SALES AND MARKETING 45
6.4 OPERATIONS 46
6.5 FINANCE 47
6.6 HUMAN RESOURCES 47
7 DATA FUSION MARKET, BY COMPONENT 49
7.1 INTRODUCTION 50
7.2 TOOLS 51
7.3 SERVICES 52
7.3.1 PROFESSIONAL SERVICES 53
7.3.1.1 Consulting 55
7.3.1.2 Support and maintenance 55
7.3.1.3 Deployment and integration 56
7.3.2 MANAGED SERVICES 56
8 DATA FUSION MARKET, BY DEPLOYMENT MODEL 58
8.1 INTRODUCTION 59
8.2 ON-PREMISES 60
8.3 ON-DEMAND 60
9 DATA FUSION MARKET, BY ORGANIZATION SIZE 62
9.1 INTRODUCTION 63
9.2 LARGE ENTERPRISES 64
9.3 SMALL AND MEDIUM-SIZED ENTERPRISES 64
10 DATA FUSION MARKET, BY INDUSTRY 66
10.1 INTRODUCTION 67
10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 68
10.3 TELECOM AND IT 69
10.4 RETAIL AND CONSUMER GOODS 70
10.5 HEALTHCARE AND LIFE SCIENCES 70
10.6 MANUFACTURING 71
10.7 GOVERNMENT AND DEFENSE 72
10.8 ENERGY AND UTILITIES 72
10.9 TRANSPORTATION AND LOGISTICS 73
10.10 MEDIA AND ENTERTAINMENT 74
10.11 OTHERS 74
11 DATA FUSION MARKET, BY REGION 76
11.1 INTRODUCTION 77
11.2 NORTH AMERICA 79
11.2.1 BY BUSINESS FUNCTION 81
11.2.2 BY COMPONENT 81
11.2.3 BY DEPLOYMENT MODEL 82
11.2.4 BY ORGANIZATION SIZE 83
11.2.5 BY INDUSTRY 83
11.3 EUROPE 84
11.3.1 BY BUSINESS FUNCTION 84
11.3.2 BY COMPONENT 85
11.3.3 BY DEPLOYMENT MODEL 86
11.3.4 BY ORGANIZATION SIZE 86
11.3.5 BY INDUSTRY 87
11.4 ASIA PACIFIC 88
11.4.1 BY BUSINESS FUNCTION 90
11.4.2 BY COMPONENT 90
11.4.3 BY DEPLOYMENT MODEL 91
11.4.4 BY ORGANIZATION SIZE 91
11.4.5 BY INDUSTRY 92
11.5 LATIN AMERICA 92
11.5.1 BY BUSINESS FUNCTION 93
11.5.2 BY COMPONENT 93
11.5.3 BY DEPLOYMENT MODEL 94
11.5.4 BY ORGANIZATION SIZE 95
11.5.5 BY INDUSTRY 95

11.6 MIDDLE EAST AND AFRICA 96
11.6.1 BY BUSINESS FUNCTION 96
11.6.2 BY COMPONENT 97
11.6.3 BY DEPLOYMENT MODEL 98
11.6.4 BY ORGANIZATION SIZE 98
11.6.5 BY INDUSTRY 98
12 COMPETITIVE LANDSCAPE 100
12.1 OVERVIEW 100
12.2 COMPETITIVE SCENARIO 101
12.2.1 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS 101
12.2.2 PARTNERSHIPS AND COLLABORATIONS 102
12.2.3 ACQUISITIONS 103
12.2.4 BUSINESS EXPANSIONS 103
12.3 DATA FUSION MARKET: PROMINENT PLAYERS 103
13 COMPANY PROFILES 105
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
13.1 THOMSON REUTERS 105
13.2 AGT INTERNATIONAL 108
13.3 ESRI 111
13.4 LEXISNEXIS 114
13.5 PALANTIR TECHNOLOGIES 116
13.6 COGINT 118
13.7 INVENSENSE 121
13.8 CLARIVATE ANALYTICS 123
13.9 MERRICK & COMPANY 125
13.10 INRIX 127
13.11 KEY INNOVATORS 130
13.11.1 KONUX 130
13.11.2 SIGNAFIRE 131
*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.
14 APPENDIX 132
14.1 INSIGHTS OF INDUSTRY EXPERTS 132
14.2 DISCUSSION GUIDE 133
14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 137
14.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 139
14.5 AVAILABLE CUSTOMIZATION 141
14.6 RELATED REPORTS 141
14.7 AUTHOR DETAILS 142

LIST OF TABLES

TABLE 1 DATA FUSION MARKET, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION) 44
TABLE 2 INFORMATION TECHNOLOGY: DATA FUSION MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 45
TABLE 3 SALES AND MARKETING: DATA FUSION MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 46
TABLE 4 OPERATIONS: DATA FUSION MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 46
TABLE 5 FINANCE: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 47
TABLE 6 HUMAN RESOURCES: DATA FUSION MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 48
TABLE 7 DATA FUSION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 51
TABLE 8 TOOLS: DATA FUSION MARKET SIZE, BY REGION, 2015–2022(USD MILLION) 51
TABLE 9 SERVICES: DATA FUSION MARKET SIZE, BY TYPE, 2015–2022 (USD MILLION) 52
TABLE 10 SERVICES: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 53
TABLE 11 PROFESSIONAL SERVICES MARKET SIZE, BY TYPE, 2015–2022 (USD MILLION) 54
TABLE 12 PROFESSIONAL SERVICES MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 54
TABLE 13 CONSULTING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 55
TABLE 14 SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 56
TABLE 15 DEPLOYMENT AND INTEGRATION MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 56
TABLE 16 MANAGED SERVICES MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 57
TABLE 17 DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL,
2015–2022 (USD MILLION) 59
TABLE 18 ON-PREMISES: DATA FUSION MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 60
TABLE 19 ON-DEMAND: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 61
TABLE 20 DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION) 63
TABLE 21 LARGE ENTERPRISES: DATA FUSION MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 64
TABLE 22 SMALL AND MEDIUM-SIZED ENTERPRISES: DATA FUSION MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 65
TABLE 23 DATA FUSION MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION) 68
TABLE 24 BANKING, FINANCIAL SERVICES, AND INSURANCE: DATA FUSION MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 69
TABLE 25 TELECOM AND IT: DATA FUSION MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 69
TABLE 26 RETAIL AND CONSUMER GOODS: DATA FUSION MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 70
TABLE 27 HEALTHCARE AND LIFE SCIENCES: DATA FUSION MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 71
TABLE 28 MANUFACTURING: DATA FUSION MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 71
TABLE 29 GOVERNMENT AND DEFENSE: DATA FUSION MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 72
TABLE 30 ENERGY AND UTILITIES: DATA FUSION MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 73
TABLE 31 TRANSPORTATION AND LOGISTICS: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 73
TABLE 32 MEDIA AND ENTERTAINMENT: DATA FUSION MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 74
TABLE 33 OTHERS: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 75
TABLE 34 DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 77
TABLE 35 NORTH AMERICA: DATA FUSION MARKET SIZE, BY BUSINESS FUNCTION,
2015–2022 (USD MILLION) 81
TABLE 36 NORTH AMERICA: DATA FUSION MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 81
TABLE 37 NORTH AMERICA: DATA FUSION MARKET SIZE, BY SERVICE,
2015–2022 (USD MILLION) 81
TABLE 38 NORTH AMERICA: DATA FUSION MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2022 (USD MILLION) 82
TABLE 39 NORTH AMERICA: DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL,
2015–2022 (USD MILLION) 82
TABLE 40 NORTH AMERICA: DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE,
2015–2022 (USD MILLION) 83
TABLE 41 NORTH AMERICA: DATA FUSION MARKET SIZE, BY INDUSTRY,
2015–2022 (USD MILLION) 83
TABLE 42 EUROPE: DATA FUSION MARKET SIZE, BY BUSINESS FUNCTION,
2015–2022 (USD MILLION) 84
TABLE 43 EUROPE: DATA FUSION MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 85
TABLE 44 EUROPE: DATA FUSION MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION) 85
TABLE 45 EUROPE: DATA FUSION MARKET SIZE, BY PROFESSIONAL SERVICE,
2015–2022 (USD MILLION) 85
TABLE 46 EUROPE: DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL,
2015–2022 (USD MILLION) 86
TABLE 47 EUROPE: DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE,
2015–2022 (USD MILLION) 86
TABLE 48 EUROPE: DATA FUSION MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION) 87
TABLE 49 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY BUSINESS FUNCTION,
2015–2022 (USD MILLION) 90
TABLE 50 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 90
TABLE 51 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY SERVICE,
2015–2022 (USD MILLION) 90
TABLE 52 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY PROFESSIONAL SERVICE,
2015–2022 (USD MILLION) 91
TABLE 53 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL,
2015–2022 (USD MILLION) 91
TABLE 54 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE,
2015–2022 (USD MILLION) 91
TABLE 55 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY INDUSTRY,
2015–2022 (USD MILLION) 92
TABLE 56 LATIN AMERICA: DATA FUSION MARKET SIZE, BY BUSINESS FUNCTION,
2015–2022 (USD MILLION) 93
TABLE 57 LATIN AMERICA: DATA FUSION MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 93
TABLE 58 LATIN AMERICA: DATA FUSION MARKET SIZE, BY SERVICE,
2015–2022 (USD MILLION) 94
TABLE 59 LATIN AMERICA: DATA FUSION MARKET SIZE, BY PROFESSIONAL SERVICE,
2015–2022 (USD MILLION) 94
TABLE 60 LATIN AMERICA: DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL,
2015–2022 (USD MILLION) 94
TABLE 61 LATIN AMERICA: DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE,
2015–2022 (USD MILLION) 95
TABLE 62 LATIN AMERICA: DATA FUSION MARKET SIZE, BY INDUSTRY,
2015–2022 (USD MILLION) 95
TABLE 63 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION) 96
TABLE 64 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 97
TABLE 65 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY SERVICE,
2015–2022 (USD MILLION) 97
TABLE 66 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2022 (USD MILLION) 97
TABLE 67 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL, 2015–2022 (USD MILLION) 98
TABLE 68 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION) 98
TABLE 69 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION) 99
TABLE 70 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS, 2016–2018 101
TABLE 71 PARTNERSHIPS AND COLLABORATIONS, 2017–2018 102
TABLE 72 ACQUISITIONS, 2016 103
TABLE 73 BUSINESS EXPANSIONS, 2018 103
TABLE 74 KEY PLAYERS IN THE DATA FUSION MARKET 104


LIST OF FIGURES

FIGURE 1 DATA FUSION MARKET: MARKET SEGMENTATION 15
FIGURE 2 DATA FUSION MARKET: RESEARCH DESIGN 17
FIGURE 3 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY,
DESIGNATION, AND REGION 19
FIGURE 4 DATA TRIANGULATION 20
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 21
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 22
FIGURE 7 THE DATA FUSION MARKET IS EXPECTED TO WITNESS HIGH GROWTH DURING THE FORECAST PERIOD 25
FIGURE 8 DATA FUSION MARKET, BY COMPONENT (2017 VS. 2022) 26
FIGURE 9 DATA FUSION MARKET, BY SERVICE (2017–2022) 26
FIGURE 10 DATA FUSION MARKET, BY PROFESSIONAL SERVICE (2017–2022) 27
FIGURE 11 DATA FUSION MARKET, BY BUSINESS FUNCTION (2017–2022) 28
FIGURE 12 DATA FUSION MARKET, BY DEPLOYMENT MODEL (2017–2022) 29
FIGURE 13 DATA FUSION MARKET, BY ORGANIZATION SIZE (2017–2022) 29
FIGURE 14 DATA FUSION MARKET, BY INDUSTRY (2017 VS. 2022) 30
FIGURE 15 INCREASING NEED FOR DATA FUSION TOOLS AND SERVICES ACROSS INDUSTRIES IS EXPECTED DRIVE THE GROWTH OF THE DATA FUSION MARKET 31
FIGURE 16 NORTH AMERICA IS ESTIMATED TO HAVE THE LARGEST MARKET SHARE IN 2017 32
FIGURE 17 BANKING, FINANCIAL SERVICES, AND INSURANCE INDUSTRY, AND NORTH AMERICA ARE ESTIMATED TO HAVE THE LARGEST MARKET SHARES IN 2017 33
FIGURE 18 SUPPORT AND MAINTENANCE SEGMENT IS ESTIMATED TO HOLD THE LARGEST MARKET SHARE ACROSS THE GLOBE, EXCEPT IN ASIA PACIFIC, IN 2017 34
FIGURE 19 DATA FUSION MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 36
FIGURE 20 GLOBAL INDUSTRIAL INTERNET OF THINGS MARKET 37
FIGURE 21 PILLARS OF DATA FUSION 40
FIGURE 22 INFORMATION TECHNOLOGY BUSINESS FUNCTION IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD 44
FIGURE 23 TOOLS SEGMENT IS EXPECTED TO HAVE THE LARGER MARKET SIZE DURING THE FORECAST PERIOD 50
FIGURE 24 PROFESSIONAL SERVICES SEGMENT IS EXPECTED TO HAVE THE LARGER MARKET SIZE DURING THE FORECAST PERIOD 52
FIGURE 25 SUPPORT AND MAINTENANCE SEGMENT IS ESTIMATED TO HAVE THE LARGEST MARKET SIZE IN 2017 54
FIGURE 26 ON-DEMAND DEPLOYMENT MODEL IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 59
FIGURE 27 LARGE ENTERPRISES SEGMENT IS EXPECTED TO HAVE THE LARGER MARKET SIZE DURING THE FORECAST PERIOD 63
FIGURE 28 BANKING, FINANCIAL SERVICES, AND INSURANCE INDUSTRY IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD 67
FIGURE 29 ASIA PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 78
FIGURE 30 NORTH AMERICA IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD 78
FIGURE 31 NORTH AMERICA: MARKET SNAPSHOT 80
FIGURE 32 ASIA PACIFIC: MARKET SNAPSHOT 89
FIGURE 33 KEY DEVELOPMENTS BY THE LEADING PLAYERS IN THE DATA FUSION MARKET, 2014–2018 100
FIGURE 34 THOMSON REUTERS: COMPANY SNAPSHOT 105
FIGURE 35 THOMSON REUTERS: SWOT ANALYSIS 107
FIGURE 36 AGT INTERNATIONAL: SWOT ANALYSIS 109
FIGURE 37 ESRI: SWOT ANALYSIS 113
FIGURE 38 LEXISNEXIS: SWOT ANALYSIS 115
FIGURE 39 PALANTIR TECHNOLOGIES: SWOT ANALYSIS 117
FIGURE 40 COGINT: COMPANY SNAPSHOT 118


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