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
Rapid adoption of data-driven decision-making is driving the market growth
MarketsandMarkets 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.
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.
MarketsandMarkets 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%
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.
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 MARKET SCOPE
1.4 YEARS CONSIDERED FOR THE STUDY
1.5 CURRENCY
1.6 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakdown of primaries
2.1.2.2 Key industry insights
2.2 MARKET SIZE ESTIMATION
2.3 RESEARCH ASSUMPTIONS
2.4 LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE DATA FUSION MARKET
4.2 DATA FUSION MARKET: BY REGION
4.3 DATA FUSION MARKET, BY INDUSTRY AND REGION
4.4 DATA FUSION MARKET: PROFESSIONAL SERVICES, BY REGION
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 MARKET OVERVIEW
5.1.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Rapid adoption of data-driven decision-making
5.2.1.2 Introduction of IIoT
5.2.2 RESTRAINTS
5.2.2.1 High investment costs
5.2.2.2 Varying structure of regulation policies
5.2.3 OPPORTUNITIES
5.2.3.1 Higher adoption of data fusions tools and services among SMEs
5.2.3.2 The need to create insights from unused data
5.2.4 CHALLENGES
5.2.4.1 Managing and maintaining data quality
5.2.4.2 Lack of skilled workforce
5.3 INDUSTRY TRENDS
5.3.1 PILLARS OF DATA FUSION
5.3.1.1 Analysis and fusion
5.3.1.2 Security and privacy
5.3.1.3 Collaboration and information sharing
5.3.2 DATA FUSION MARKET: USE CASES
5.3.2.1 Introduction
5.3.2.2 Use case 1: Disaster response
5.3.2.3 Use case 2: Cybersecurity
5.3.2.4 Use case 3: Predictive maintenance
6 DATA FUSION MARKET, BY BUSINESS FUNCTION
6.1 INTRODUCTION
6.2 INFORMATION TECHNOLOGY
6.3 SALES AND MARKETING
6.4 OPERATIONS
6.5 FINANCE
6.6 HUMAN RESOURCES
7 DATA FUSION MARKET, BY COMPONENT
7.1 INTRODUCTION
7.2 TOOLS
7.3 SERVICES
7.3.1 PROFESSIONAL SERVICES
7.3.1.1 Consulting
7.3.1.2 Support and maintenance
7.3.1.3 Deployment and integration
7.3.2 MANAGED SERVICES
8 DATA FUSION MARKET, BY DEPLOYMENT MODEL
8.1 INTRODUCTION
8.2 ON-PREMISES
8.3 ON-DEMAND
9 DATA FUSION MARKET, BY ORGANIZATION SIZE
9.1 INTRODUCTION
9.2 LARGE ENTERPRISES
9.3 SMALL AND MEDIUM-SIZED ENTERPRISES
10 DATA FUSION MARKET, BY INDUSTRY
10.1 INTRODUCTION
10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
10.3 TELECOM AND IT
10.4 RETAIL AND CONSUMER GOODS
10.5 HEALTHCARE AND LIFE SCIENCES
10.6 MANUFACTURING
10.7 GOVERNMENT AND DEFENSE
10.8 ENERGY AND UTILITIES
10.9 TRANSPORTATION AND LOGISTICS
10.10 MEDIA AND ENTERTAINMENT
10.11 OTHERS
11 DATA FUSION MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 BY BUSINESS FUNCTION
11.2.2 BY COMPONENT
11.2.3 BY DEPLOYMENT MODEL
11.2.4 BY ORGANIZATION SIZE
11.2.5 BY INDUSTRY
11.3 EUROPE
11.3.1 BY BUSINESS FUNCTION
11.3.2 BY COMPONENT
11.3.3 BY DEPLOYMENT MODEL
11.3.4 BY ORGANIZATION SIZE
11.3.5 BY INDUSTRY
11.4 ASIA PACIFIC
11.4.1 BY BUSINESS FUNCTION
11.4.2 BY COMPONENT
11.4.3 BY DEPLOYMENT MODEL
11.4.4 BY ORGANIZATION SIZE
11.4.5 BY INDUSTRY
11.5 LATIN AMERICA
11.5.1 BY BUSINESS FUNCTION
11.5.2 BY COMPONENT
11.5.3 BY DEPLOYMENT MODEL
11.5.4 BY ORGANIZATION SIZE
11.5.5 BY INDUSTRY
11.6 MIDDLE EAST AND AFRICA
11.6.1 BY BUSINESS FUNCTION
11.6.2 BY COMPONENT
11.6.3 BY DEPLOYMENT MODEL
11.6.4 BY ORGANIZATION SIZE
11.6.5 BY INDUSTRY
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 COMPETITIVE SCENARIO
12.2.1 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS
12.2.2 PARTNERSHIPS AND COLLABORATIONS
12.2.3 ACQUISITIONS
12.2.4 BUSINESS EXPANSIONS
12.3 DATA FUSION MARKET: PROMINENT PLAYERS
13 COMPANY PROFILES
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
13.1 THOMSON REUTERS
13.2 AGT INTERNATIONAL
13.3 ESRI
13.4 LEXISNEXIS
13.5 PALANTIR TECHNOLOGIES
13.6 COGINT
13.7 INVENSENSE
13.8 CLARIVATE ANALYTICS
13.9 MERRICK & COMPANY
13.10 INRIX
13.11 KEY INNOVATORS
13.11.1 KONUX
13.11.2 SIGNAFIRE
*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
14.1 INSIGHTS OF INDUSTRY EXPERTS
14.2 DISCUSSION GUIDE
14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
14.5 AVAILABLE CUSTOMIZATION
14.6 RELATED REPORTS
14.7 AUTHOR DETAILS
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 MARKET SCOPE
1.4 YEARS CONSIDERED FOR THE STUDY
1.5 CURRENCY
1.6 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakdown of primaries
2.1.2.2 Key industry insights
2.2 MARKET SIZE ESTIMATION
2.3 RESEARCH ASSUMPTIONS
2.4 LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE DATA FUSION MARKET
4.2 DATA FUSION MARKET: BY REGION
4.3 DATA FUSION MARKET, BY INDUSTRY AND REGION
4.4 DATA FUSION MARKET: PROFESSIONAL SERVICES, BY REGION
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 MARKET OVERVIEW
5.1.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Rapid adoption of data-driven decision-making
5.2.1.2 Introduction of IIoT
5.2.2 RESTRAINTS
5.2.2.1 High investment costs
5.2.2.2 Varying structure of regulation policies
5.2.3 OPPORTUNITIES
5.2.3.1 Higher adoption of data fusions tools and services among SMEs
5.2.3.2 The need to create insights from unused data
5.2.4 CHALLENGES
5.2.4.1 Managing and maintaining data quality
5.2.4.2 Lack of skilled workforce
5.3 INDUSTRY TRENDS
5.3.1 PILLARS OF DATA FUSION
5.3.1.1 Analysis and fusion
5.3.1.2 Security and privacy
5.3.1.3 Collaboration and information sharing
5.3.2 DATA FUSION MARKET: USE CASES
5.3.2.1 Introduction
5.3.2.2 Use case 1: Disaster response
5.3.2.3 Use case 2: Cybersecurity
5.3.2.4 Use case 3: Predictive maintenance
6 DATA FUSION MARKET, BY BUSINESS FUNCTION
6.1 INTRODUCTION
6.2 INFORMATION TECHNOLOGY
6.3 SALES AND MARKETING
6.4 OPERATIONS
6.5 FINANCE
6.6 HUMAN RESOURCES
7 DATA FUSION MARKET, BY COMPONENT
7.1 INTRODUCTION
7.2 TOOLS
7.3 SERVICES
7.3.1 PROFESSIONAL SERVICES
7.3.1.1 Consulting
7.3.1.2 Support and maintenance
7.3.1.3 Deployment and integration
7.3.2 MANAGED SERVICES
8 DATA FUSION MARKET, BY DEPLOYMENT MODEL
8.1 INTRODUCTION
8.2 ON-PREMISES
8.3 ON-DEMAND
9 DATA FUSION MARKET, BY ORGANIZATION SIZE
9.1 INTRODUCTION
9.2 LARGE ENTERPRISES
9.3 SMALL AND MEDIUM-SIZED ENTERPRISES
10 DATA FUSION MARKET, BY INDUSTRY
10.1 INTRODUCTION
10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
10.3 TELECOM AND IT
10.4 RETAIL AND CONSUMER GOODS
10.5 HEALTHCARE AND LIFE SCIENCES
10.6 MANUFACTURING
10.7 GOVERNMENT AND DEFENSE
10.8 ENERGY AND UTILITIES
10.9 TRANSPORTATION AND LOGISTICS
10.10 MEDIA AND ENTERTAINMENT
10.11 OTHERS
11 DATA FUSION MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 BY BUSINESS FUNCTION
11.2.2 BY COMPONENT
11.2.3 BY DEPLOYMENT MODEL
11.2.4 BY ORGANIZATION SIZE
11.2.5 BY INDUSTRY
11.3 EUROPE
11.3.1 BY BUSINESS FUNCTION
11.3.2 BY COMPONENT
11.3.3 BY DEPLOYMENT MODEL
11.3.4 BY ORGANIZATION SIZE
11.3.5 BY INDUSTRY
11.4 ASIA PACIFIC
11.4.1 BY BUSINESS FUNCTION
11.4.2 BY COMPONENT
11.4.3 BY DEPLOYMENT MODEL
11.4.4 BY ORGANIZATION SIZE
11.4.5 BY INDUSTRY
11.5 LATIN AMERICA
11.5.1 BY BUSINESS FUNCTION
11.5.2 BY COMPONENT
11.5.3 BY DEPLOYMENT MODEL
11.5.4 BY ORGANIZATION SIZE
11.5.5 BY INDUSTRY
11.6 MIDDLE EAST AND AFRICA
11.6.1 BY BUSINESS FUNCTION
11.6.2 BY COMPONENT
11.6.3 BY DEPLOYMENT MODEL
11.6.4 BY ORGANIZATION SIZE
11.6.5 BY INDUSTRY
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 COMPETITIVE SCENARIO
12.2.1 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS
12.2.2 PARTNERSHIPS AND COLLABORATIONS
12.2.3 ACQUISITIONS
12.2.4 BUSINESS EXPANSIONS
12.3 DATA FUSION MARKET: PROMINENT PLAYERS
13 COMPANY PROFILES
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
13.1 THOMSON REUTERS
13.2 AGT INTERNATIONAL
13.3 ESRI
13.4 LEXISNEXIS
13.5 PALANTIR TECHNOLOGIES
13.6 COGINT
13.7 INVENSENSE
13.8 CLARIVATE ANALYTICS
13.9 MERRICK & COMPANY
13.10 INRIX
13.11 KEY INNOVATORS
13.11.1 KONUX
13.11.2 SIGNAFIRE
*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
14.1 INSIGHTS OF INDUSTRY EXPERTS
14.2 DISCUSSION GUIDE
14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
14.5 AVAILABLE CUSTOMIZATION
14.6 RELATED REPORTS
14.7 AUTHOR DETAILS
LIST OF TABLES
Table 1 DATA FUSION MARKET, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
Table 2 INFORMATION TECHNOLOGY: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 3 SALES AND MARKETING: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 4 OPERATIONS: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 5 FINANCE: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 6 HUMAN RESOURCES: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 7 DATA FUSION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
Table 8 TOOLS: DATA FUSION MARKET SIZE, BY REGION, 2015–2022(USD MILLION)
Table 9 SERVICES: DATA FUSION MARKET SIZE, BY TYPE, 2015–2022 (USD MILLION)
Table 10 SERVICES: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 11 PROFESSIONAL SERVICES MARKET SIZE, BY TYPE, 2015–2022 (USD MILLION)
Table 12 PROFESSIONAL SERVICES MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 13 CONSULTING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 14 SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 15 DEPLOYMENT AND INTEGRATION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 16 MANAGED SERVICES MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 17 DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL, 2015–2022 (USD MILLION)
Table 18 ON-PREMISES: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 19 ON-DEMAND: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 20 DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
Table 21 LARGE ENTERPRISES: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 22 SMALL AND MEDIUM-SIZED ENTERPRISES: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 23 DATA FUSION MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION)
Table 24 BANKING, FINANCIAL SERVICES, AND INSURANCE: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 25 TELECOM AND IT: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 26 RETAIL AND CONSUMER GOODS: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 27 HEALTHCARE AND LIFE SCIENCES: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 28 MANUFACTURING: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 29 GOVERNMENT AND DEFENSE: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 30 ENERGY AND UTILITIES: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 31 TRANSPORTATION AND LOGISTICS: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 32 MEDIA AND ENTERTAINMENT: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 33 OTHERS: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 34 DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 35 NORTH AMERICA: DATA FUSION MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
Table 36 NORTH AMERICA: DATA FUSION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
Table 37 NORTH AMERICA: DATA FUSION MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
Table 38 NORTH AMERICA: DATA FUSION MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2022 (USD MILLION)
Table 39 NORTH AMERICA: DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL, 2015–2022 (USD MILLION)
Table 40 NORTH AMERICA: DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
Table 41 NORTH AMERICA: DATA FUSION MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION)
Table 42 EUROPE: DATA FUSION MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
Table 43 EUROPE: DATA FUSION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
Table 44 EUROPE: DATA FUSION MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
Table 45 EUROPE: DATA FUSION MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2022 (USD MILLION)
Table 46 EUROPE: DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL, 2015–2022 (USD MILLION)
Table 47 EUROPE: DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
Table 48 EUROPE: DATA FUSION MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION)
Table 49 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
Table 50 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
Table 51 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
Table 52 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2022 (USD MILLION)
Table 53 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL, 2015–2022 (USD MILLION)
Table 54 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
Table 55 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION)
Table 56 LATIN AMERICA: DATA FUSION MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
Table 57 LATIN AMERICA: DATA FUSION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
Table 58 LATIN AMERICA: DATA FUSION MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
Table 59 LATIN AMERICA: DATA FUSION MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2022 (USD MILLION)
Table 60 LATIN AMERICA: DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL, 2015–2022 (USD MILLION)
Table 61 LATIN AMERICA: DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
Table 62 LATIN AMERICA: DATA FUSION MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION)
Table 63 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
Table 64 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
Table 65 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
Table 66 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2022 (USD MILLION)
Table 67 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL, 2015–2022 (USD MILLION)
Table 68 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
Table 69 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION)
Table 70 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS, 2016–2018
Table 71 PARTNERSHIPS AND COLLABORATIONS, 2017–2018
Table 72 ACQUISITIONS, 2016
Table 73 BUSINESS EXPANSIONS, 2018
Table 74 KEY PLAYERS IN THE DATA FUSION MARKET
Table 1 DATA FUSION MARKET, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
Table 2 INFORMATION TECHNOLOGY: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 3 SALES AND MARKETING: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 4 OPERATIONS: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 5 FINANCE: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 6 HUMAN RESOURCES: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 7 DATA FUSION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
Table 8 TOOLS: DATA FUSION MARKET SIZE, BY REGION, 2015–2022(USD MILLION)
Table 9 SERVICES: DATA FUSION MARKET SIZE, BY TYPE, 2015–2022 (USD MILLION)
Table 10 SERVICES: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 11 PROFESSIONAL SERVICES MARKET SIZE, BY TYPE, 2015–2022 (USD MILLION)
Table 12 PROFESSIONAL SERVICES MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 13 CONSULTING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 14 SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 15 DEPLOYMENT AND INTEGRATION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 16 MANAGED SERVICES MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 17 DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL, 2015–2022 (USD MILLION)
Table 18 ON-PREMISES: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 19 ON-DEMAND: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 20 DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
Table 21 LARGE ENTERPRISES: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 22 SMALL AND MEDIUM-SIZED ENTERPRISES: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 23 DATA FUSION MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION)
Table 24 BANKING, FINANCIAL SERVICES, AND INSURANCE: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 25 TELECOM AND IT: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 26 RETAIL AND CONSUMER GOODS: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 27 HEALTHCARE AND LIFE SCIENCES: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 28 MANUFACTURING: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 29 GOVERNMENT AND DEFENSE: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 30 ENERGY AND UTILITIES: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 31 TRANSPORTATION AND LOGISTICS: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 32 MEDIA AND ENTERTAINMENT: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 33 OTHERS: DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 34 DATA FUSION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
Table 35 NORTH AMERICA: DATA FUSION MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
Table 36 NORTH AMERICA: DATA FUSION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
Table 37 NORTH AMERICA: DATA FUSION MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
Table 38 NORTH AMERICA: DATA FUSION MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2022 (USD MILLION)
Table 39 NORTH AMERICA: DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL, 2015–2022 (USD MILLION)
Table 40 NORTH AMERICA: DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
Table 41 NORTH AMERICA: DATA FUSION MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION)
Table 42 EUROPE: DATA FUSION MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
Table 43 EUROPE: DATA FUSION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
Table 44 EUROPE: DATA FUSION MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
Table 45 EUROPE: DATA FUSION MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2022 (USD MILLION)
Table 46 EUROPE: DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL, 2015–2022 (USD MILLION)
Table 47 EUROPE: DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
Table 48 EUROPE: DATA FUSION MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION)
Table 49 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
Table 50 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
Table 51 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
Table 52 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2022 (USD MILLION)
Table 53 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL, 2015–2022 (USD MILLION)
Table 54 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
Table 55 ASIA PACIFIC: DATA FUSION MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION)
Table 56 LATIN AMERICA: DATA FUSION MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
Table 57 LATIN AMERICA: DATA FUSION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
Table 58 LATIN AMERICA: DATA FUSION MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
Table 59 LATIN AMERICA: DATA FUSION MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2022 (USD MILLION)
Table 60 LATIN AMERICA: DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL, 2015–2022 (USD MILLION)
Table 61 LATIN AMERICA: DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
Table 62 LATIN AMERICA: DATA FUSION MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION)
Table 63 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
Table 64 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
Table 65 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
Table 66 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2022 (USD MILLION)
Table 67 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY DEPLOYMENT MODEL, 2015–2022 (USD MILLION)
Table 68 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
Table 69 MIDDLE EAST AND AFRICA: DATA FUSION MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION)
Table 70 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS, 2016–2018
Table 71 PARTNERSHIPS AND COLLABORATIONS, 2017–2018
Table 72 ACQUISITIONS, 2016
Table 73 BUSINESS EXPANSIONS, 2018
Table 74 KEY PLAYERS IN THE DATA FUSION MARKET
LIST OF FIGURES
Figure 1 DATA FUSION MARKET: MARKET SEGMENTATION
Figure 2 DATA FUSION MARKET: RESEARCH DESIGN
Figure 3 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION, AND REGION
Figure 4 DATA TRIANGULATION
Figure 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
Figure 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
Figure 7 THE DATA FUSION MARKET IS EXPECTED TO WITNESS HIGH GROWTH DURING THE FORECAST PERIOD
Figure 8 DATA FUSION MARKET, BY COMPONENT (2017 VS. 2022)
Figure 9 DATA FUSION MARKET, BY SERVICE (2017–2022)
Figure 10 DATA FUSION MARKET, BY PROFESSIONAL SERVICE (2017–2022)
Figure 11 DATA FUSION MARKET, BY BUSINESS FUNCTION (2017–2022)
Figure 12 DATA FUSION MARKET, BY DEPLOYMENT MODEL (2017–2022)
Figure 13 DATA FUSION MARKET, BY ORGANIZATION SIZE (2017–2022)
Figure 14 DATA FUSION MARKET, BY INDUSTRY (2017 VS. 2022)
Figure 15 INCREASING NEED FOR DATA FUSION TOOLS AND SERVICES ACROSS INDUSTRIES IS EXPECTED DRIVE THE GROWTH OF THE DATA FUSION MARKET
Figure 16 NORTH AMERICA IS ESTIMATED TO HAVE THE LARGEST MARKET SHARE IN 2017
Figure 17 BANKING, FINANCIAL SERVICES, AND INSURANCE INDUSTRY, AND NORTH AMERICA ARE ESTIMATED TO HAVE THE LARGEST MARKET SHARES IN 2017
Figure 18 SUPPORT AND MAINTENANCE SEGMENT IS ESTIMATED TO HOLD THE LARGEST MARKET SHARE ACROSS THE GLOBE, EXCEPT IN ASIA PACIFIC, IN 2017
Figure 19 DATA FUSION MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
Figure 20 GLOBAL INDUSTRIAL INTERNET OF THINGS MARKET
Figure 21 PILLARS OF DATA FUSION
Figure 22 INFORMATION TECHNOLOGY BUSINESS FUNCTION IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
Figure 23 TOOLS SEGMENT IS EXPECTED TO HAVE THE LARGER MARKET SIZE DURING THE FORECAST PERIOD
Figure 24 PROFESSIONAL SERVICES SEGMENT IS EXPECTED TO HAVE THE LARGER MARKET SIZE DURING THE FORECAST PERIOD
Figure 25 SUPPORT AND MAINTENANCE SEGMENT IS ESTIMATED TO HAVE THE LARGEST MARKET SIZE IN 2017
Figure 26 ON-DEMAND DEPLOYMENT MODEL IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
Figure 27 LARGE ENTERPRISES SEGMENT IS EXPECTED TO HAVE THE LARGER MARKET SIZE DURING THE FORECAST PERIOD
Figure 28 BANKING, FINANCIAL SERVICES, AND INSURANCE INDUSTRY IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
Figure 29 ASIA PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 30 NORTH AMERICA IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
Figure 31 NORTH AMERICA: MARKET SNAPSHOT
Figure 32 ASIA PACIFIC: MARKET SNAPSHOT
Figure 33 KEY DEVELOPMENTS BY THE LEADING PLAYERS IN THE DATA FUSION MARKET, 2014–2018
Figure 34 THOMSON REUTERS: COMPANY SNAPSHOT
Figure 35 THOMSON REUTERS: SWOT ANALYSIS
Figure 36 AGT INTERNATIONAL: SWOT ANALYSIS
Figure 37 ESRI: SWOT ANALYSIS
Figure 38 LEXISNEXIS: SWOT ANALYSIS
Figure 39 PALANTIR TECHNOLOGIES: SWOT ANALYSIS
Figure 40 COGINT: COMPANY SNAPSHOT
Figure 1 DATA FUSION MARKET: MARKET SEGMENTATION
Figure 2 DATA FUSION MARKET: RESEARCH DESIGN
Figure 3 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION, AND REGION
Figure 4 DATA TRIANGULATION
Figure 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
Figure 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
Figure 7 THE DATA FUSION MARKET IS EXPECTED TO WITNESS HIGH GROWTH DURING THE FORECAST PERIOD
Figure 8 DATA FUSION MARKET, BY COMPONENT (2017 VS. 2022)
Figure 9 DATA FUSION MARKET, BY SERVICE (2017–2022)
Figure 10 DATA FUSION MARKET, BY PROFESSIONAL SERVICE (2017–2022)
Figure 11 DATA FUSION MARKET, BY BUSINESS FUNCTION (2017–2022)
Figure 12 DATA FUSION MARKET, BY DEPLOYMENT MODEL (2017–2022)
Figure 13 DATA FUSION MARKET, BY ORGANIZATION SIZE (2017–2022)
Figure 14 DATA FUSION MARKET, BY INDUSTRY (2017 VS. 2022)
Figure 15 INCREASING NEED FOR DATA FUSION TOOLS AND SERVICES ACROSS INDUSTRIES IS EXPECTED DRIVE THE GROWTH OF THE DATA FUSION MARKET
Figure 16 NORTH AMERICA IS ESTIMATED TO HAVE THE LARGEST MARKET SHARE IN 2017
Figure 17 BANKING, FINANCIAL SERVICES, AND INSURANCE INDUSTRY, AND NORTH AMERICA ARE ESTIMATED TO HAVE THE LARGEST MARKET SHARES IN 2017
Figure 18 SUPPORT AND MAINTENANCE SEGMENT IS ESTIMATED TO HOLD THE LARGEST MARKET SHARE ACROSS THE GLOBE, EXCEPT IN ASIA PACIFIC, IN 2017
Figure 19 DATA FUSION MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
Figure 20 GLOBAL INDUSTRIAL INTERNET OF THINGS MARKET
Figure 21 PILLARS OF DATA FUSION
Figure 22 INFORMATION TECHNOLOGY BUSINESS FUNCTION IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
Figure 23 TOOLS SEGMENT IS EXPECTED TO HAVE THE LARGER MARKET SIZE DURING THE FORECAST PERIOD
Figure 24 PROFESSIONAL SERVICES SEGMENT IS EXPECTED TO HAVE THE LARGER MARKET SIZE DURING THE FORECAST PERIOD
Figure 25 SUPPORT AND MAINTENANCE SEGMENT IS ESTIMATED TO HAVE THE LARGEST MARKET SIZE IN 2017
Figure 26 ON-DEMAND DEPLOYMENT MODEL IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
Figure 27 LARGE ENTERPRISES SEGMENT IS EXPECTED TO HAVE THE LARGER MARKET SIZE DURING THE FORECAST PERIOD
Figure 28 BANKING, FINANCIAL SERVICES, AND INSURANCE INDUSTRY IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
Figure 29 ASIA PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 30 NORTH AMERICA IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
Figure 31 NORTH AMERICA: MARKET SNAPSHOT
Figure 32 ASIA PACIFIC: MARKET SNAPSHOT
Figure 33 KEY DEVELOPMENTS BY THE LEADING PLAYERS IN THE DATA FUSION MARKET, 2014–2018
Figure 34 THOMSON REUTERS: COMPANY SNAPSHOT
Figure 35 THOMSON REUTERS: SWOT ANALYSIS
Figure 36 AGT INTERNATIONAL: SWOT ANALYSIS
Figure 37 ESRI: SWOT ANALYSIS
Figure 38 LEXISNEXIS: SWOT ANALYSIS
Figure 39 PALANTIR TECHNOLOGIES: SWOT ANALYSIS
Figure 40 COGINT: COMPANY SNAPSHOT
