tracxn big data analytics landscape report, june 2016

June 2016

TRACXN REPORT : BIG DATA ANALYTICS

Big Data Analytics, June 2016

TracxnWorld’s Largest Startup Research Platform

2

To receive the full 118 page report, write to us at [email protected]


Contents

Topic Page No.

Scope of Report 05

Entrepreneur Activity 07

Investment Trend 09

Who is Investing 17

Exit Outlook - IPO, Acquisitions 21

Big Data Analytics – Insights, Market Trends 23

Sub Sector Analysis 25

Company List 43

Team 118

3

3


Illustrative Sectors We Track

ENTERPRISEINFRASTRUCTURE

TECH

SECURITY

STORAGE

NETWORKING

MOBILITY

IT OPS

CLOUD INFRASTRUCTURE

API MANAGEMENT

BIGDATA INFRASTRUCTURE

INTERNET OF THINGS

3D PRINTING

EDUCATION

CONSUMER

MARKETPLACES

SUBSCRIPTION COMM.

FOOD TECH

INTERNET FIRST BRANDS

UBER FOR X

SECOND HAND GOODS

TRAVEL

GAMING

EDUCATION IT

SELF LEARNING

HEALTHCARE

MOBILE

MOBILE COMMERCE

MOBILE PAYMENTS

MOBILE MARKETING

MOBILE DEV TOOLS

MOBILE HEALTH

MOBILE GAMING

MOBILE LEARNING

MOBILE COMMUNICATION

LIFE SCIENCES

DIGITAL HEALTH

FINTECH

ENTERPRISEAPPLICATIONS

SAAS

MOBILE-FIRST ENT. APPS

INTELLIGENT ENT. APPS

OPEN SOURCE

RETAIL TECH

MARKETING TECH

BIG DATA ANALYTICS

VERTICAL SAAS

BITCOIN

PAYMENTS


Sector Overview

Scope of report

The report covers companies that provide Big Data Analytics solutions for data discovery, data integration, visualization, datascience and advanced predictive analytics. It excludes services and consultancies that use tech product of other companies fordata analytics.

Report also covers companies that provide Big Data Analytics platform for Heavy Industries, Finance and other verticals.

The funding details provided in the report include venture capital/private equity funding rounds and excludes debt financing andgrants/prize money.


Scope of Report

Entrepreneur Activity

Investment Trend

Who is Investing

Exit Outlook - IPO, Acquisitions

Big Data Analytics – Insights, Market Trends

Sub Sector Analysis

Company List

Team

6

6


YoY – Number of companies founded

10

24

3837 37

27

0

8

16

24

32

40

2010 2011 2012 2013 2014 2015

No

. of

Co

mp

anie

s

Alteryx Looker ThoughtSpot BBD Uptake Ndustrial.io

DataSift Platfora Trifacta Dato UNIFi Software Outlier


Scope of Report


Investment Trend

Who is Investing



Sub Sector Analysis

Company List

Team

8

8


YoY – Number of Rounds and Total Funding

$128M$88M

$227M

$346M $353M

$847M

$1B

$1.8B

$399M14

1819

26

45

68

51

73

25

0

16

32

48

64

80

0

400

800

1200

1600

2000

2008 2009 2010 2011 2012 2013 2014 2015 2016

Nu

mb

er of R

ou

nd

sFu

nd

ing

Am

ou

nt

(in

Mill

ion

s)

Funding Amount Number of Rounds


YoY – Number of Rounds by Stage


YoY – Funding by Stage


Average Ticket Size – Early Stage


Top investments in last one year


Funnel view of Sector


Scope of Report


Investment Trend

Who is Investing



Sub Sector Analysis

Company List

Team

16

16


Most Active Investors in Sector

17

1514

13

109 9

8 8 8

0

4

7

11

14

18

NEA AndreessenHorowitz

Accel Intel Khosla Madrona Redpoint A Ventures GE Ventures Kleiner Perkins

Tota

l Nu

mb

er o

f C

om

pan

ies

Pentaho SnapLogic Trifacta Guavus Ayasdi Context Relevant Looker DataSift Ayasdi OSIsoft

DataRobot Platfora Zoomdata Endeca ThoughtSpot Dato Datameer DataRobot Maana Inc Ayasdi


Where are Top Investors investing


Top Investor by Stage of Entry


Scope of Report


Investment Trend

Who is Investing



Sub Sector Analysis

Company List

Team

20

20


Major Acquisitions in last one year

Date Company Acquirer Deal size OverviewTotal

Funding

04/20/2016 lexmark.comLexmark

(Lexington, 1990)apexmic.com 4.0B

Enterprise Search

03/22/2016 sense.ioSense

(California, 2012)cloudera.com

Data Science Platform as a ServiceGranite Ventures LLC, Illuminate

$1.1M

01/19/2016 aimlogic.comAimLogic

(Las Vegas, 2014)nccdirect.com

Predictive Analytics for lead scoring

01/16/2016 iris-analytics.com

Iris Analytics(Frankfurt, 2000)

ibm.comReal-time decisions for improved fraud and risk control

01/14/2016 listenlogic.comListenLogic

(San Jose, 2007)marlinequity.com

Social Business Intelligence Analytics

11/18/2015 syncsort.comSyncsort

(Woodcliff Lake, 1968)clearlakecapital.com

Big Data Integration

10/26/2015 parstream.comParStream

(Cologne, 2008)cisco.com

Analytics for IoTCrunchFund, Khosla Ventures, Baker Capital, Tola Capital, Data Collective

$13.6M

08/7/2015 informatica.comInformatica

(Redwood City, 1993)permira.com Data Integration Software


Scope of Report


Investment Trend

Who is Investing



Sub Sector Analysis

Company List

Team

22

22



• Big Data market was estimated to be $6.8 billion in 2012; and is projected to grow by almost 40% every year. [Source 1]

• The global Business Intelligence and Analytics Software Market is expected to grow from $17.90B in 2014 to $26.78B by2019, at a Compound Annual Growth Rate (CAGR) of 8.4%. [Source 2]

• Big Data Analytics saw significant amount of funding in 2015/16 with total funding of $2.26B.

• Contextual Data Analytics saw significant increase in funding from 2014 to 2015, receiving ~1B in 2015. Palantir received themost amount.

• Advanced analytics experienced a rise in demand as analytics companies started deploying predictive models in IoT, Finance,and other real-world use cases. Adaptive Predictive Technologies got acquired by MasterCard for $600M.

• Data Science Platform is gaining popularity as increasing demand for data models needed for Predictive Analytics.

• Self Service Data Discovery platforms helps business users to get insights from raw data by providing advanced visualizationtechniques such as easy querying language, natural language search or visual analytics, thus reducing the dependency on ITand analysts.

• Self-service Data Discovery platforms using Hadoop and Apache Spark is expected to grow.

-Source 1 -Source 2

https://www.experfy.com/blog/big-data-service-market-future-growth-opportunities

http://www.prnewswire.com/news-releases/global-business-intelligence-and-analytics-software-market-2015-2020-with-ibm-oracle-sap-sas-microsoft-microstrategy-qlik-technologies-information-builders-tableau-software-dominating-300090776.html


Scope of Report


Investment Trend

Who is Investing



Sub Sector Analysis

Company List

Team

24

24


June 2016Tracxn BlueBox : Big Data Analytics

280+ companies in the sector, $5 B invested in last 5 years, $2.26 B invested in 2015/16


Top Business Models by Funding

$2.7B

$860M$767M

$540M$354M

$200M $187M $173M $103M$13M

0

500

1000

1500

2000

2500

3000

Contextual DataAnalytics

Data Analytics Data Preparation Verticals Data Discovery Streaming DataAnalytics

DataVisualization

Search BasedAnalytics

Data SciencePlatform

Big Data AnalyticSuites

Tota

l Fu

nd

ing

Am

ou

nt

(in

Mill

ion

s)

# Cos. 17 77 35 80 17 22 6 5 16 7

Avg. Age 2009.8 2008.3 2005.7 2008.4 2009.7 2008.7 2008.8 2006.2 2010.2 2003.6

Palantir Alteryx Attivio OSIsoft Platfora Qubole Birst Inc. ThoughtSpot Revolution Analytics QlikTech

Guavus Predictive Technologies Talend Uptake Datameer StreamBase CartoDB Endeca Continuum Ingensi


Contextual Data Analytics – Business Model Description


Contextual Data Analytics – Entrepreneur Activity and Investment Trend


Contextual Data Analytics – Most Funded Companies


Data Analytics – Business Model Description


Data Analytics – Entrepreneur Activity and Investment Trend


Data Analytics – Most Funded Companies


Data Preparation – Business Model Description


Data Preparation – Entrepreneur Activity and Investment Trend


Data Preparation – Most Funded Companies


Verticals – Business Model Description


Verticals – Entrepreneur Activity and Investment Trend


Verticals – Most Funded Companies


Data Discovery – Business Model Description


Data Discovery – Entrepreneur Activity and Investment Trend


Data Discovery – Most Funded Companies


Scope of Report


Investment Trend

Who is Investing



Sub Sector Analysis

Company List

Team

42

42


Big Data Analytics – Company List

DETAILS CLOSE TO 288 COMPANIES (169 FUNDED AND 119 UNFUNDED COMPANIES)

COVERS THE FOLLOWING SECTORS

Contextual Data

Analytics

Data Analytics

Data discovery

Data Preparation

Data Science

Platform

Data Visualization

Search Based

Analytics

Streaming Data

AnalyticsVerticals Services

Big Data Analytics

Suite


Contextual Data Analytics (1/5)

Company Details Funding Investors

Palantir [Palo Alto, 2004]: Palantir's platforms provide data analysis capabilities to enterprises through its productsGotham and Metropolis. Gotham integrates structured and unstructured data and enables discovery, analysis, andknowledge management. Metropolis conducts quantitative data analysis, data integration, and informationmanagement. Palantir's products are extensively used by federal agencies of the U.S. intelligence, state governments,local governments, and financial institutions around the world. Some of the solutions include case management, anti-fraud, disaster preparedness, law enforcement, defense, and insurance analytics. Acquisitions: Kimono labs inFebruary 2016; FT Technologies in February 2015; Propeller in July 2014; Poptip in July 2014; Voicegem in February2013

$2.32B

Ulu Ventures, Founders Fund, Morgan Stanley, Glynn Capital Management, PENSCO, ARTIS Ventures, YVentures, sfsentry.com, Reed elsevier ventures,

In-Q-Tel

Guavus [San Mateo, 2006]: Guavus provides Big Data analytics solutions, which enable intelligent decision-making fornetwork operations, marketing, customer care and monetization. The company’s data analysis offering is specificallyused by telecommunications providers to give these companies insights on network performance, device andapplication usage, content and subscriber behavior to optimize network capacity and increase revenues. The companycounts 4 of the top 5 mobile network operators, 3 of the top 5 Internet Backbone providers, as well as 80% of cableMSOs in North America as customers. It currently Claims to analyze more than 50% of all US mobile data traffic andprocesses more than 2.5 petabytes of data per day. Deployments span retail, enterprise and wholesale channelsacross data, wireless, wire-line and multimedia product offerings.

$137M

Artiman, Goldman Sachs, QuestM, Singtel Innov8, Translink Capital, Investor, Intel Capital, Investor

Growth Capital, Sofinnova Ventures, Artiman

Ayasdi [Palo Alto, 2008]: Ayasdi automates and accelerates insight discovery. The company’s Machine Intelligencesoftware employs Topological Data Analysis (TDA), to simplify the extraction of knowledge from the most complexdata sets confronting organizations today. Developed by Stanford computational mathematicians, Ayasdi’s approachcombines machine-learning algorithms, abundant compute power and topological summaries to revolutionize theprocess for converting data into business impact.

$108.13M

ventures.citi.com, Institutional Venture Partners, Kleiner Perkins,

Khosla Ventures, Centerview Capital, Draper Nexus, Floodgate, GE Ventures

Context Relevant [Seattle, 2012]: Context Relevant is a leader in Big Data analytics. Context Relevant has developedan analytics system that ingests data, determines what’s important, and creates a problem-specific solution that canbe deployed while continually learning.The proprietary high-performance machine learning technology acceleratesanalytics and actionable insight. It is backed by some of the major companies in the Financial Services Domain.

$44.3M

Vulcan Capital, work bench, new york life insurance company, Bloomberg

Beta, Goldman Sachs, Bank of America, Formation, MADRONA,

rolling bay ventures

Contextual Data Analytics

Data Analytics

Data discovery

Data PreparationData Science

PlatformData

VisualizationSearch Based

AnalyticsStreaming Data


Big Data Analytics Suite

http://www.palantir.com/

http://www.guavus.com/

http://www.ayasdi.com/

http://www.contextrelevant.com/




Interana [Menlo Park, 2012]: Interana is a fast and scalable event-based analytics solution that answers criticalbusiness questions on how customers behave and products are used. With Interana, key business metrics that mattermost in a data-driven world - such as growth, retention, conversion and engagement. Interana allows customers todiscover and investigate these key insights easily through its visual and interactive interface. Streaming data and dataat rest are analyzed together, enabling companies to see how real-time snapshots fit into historical trends. It analyzemassive volumes of call detail records for understanding how users behave and interact with products and services.Sony, Tinder, Jive, Bloomboard and Orange are among its customers.

$28.2MY Combinator, SV Angel, Fuel Capital,

Data Collective, Battery, Index Ventures, AME Cloud Ventures

Infobright [Toronto, 2005]: Infobright develops analytic database designed for applications and data marts thatanalyze large volumes of machine generated data such as web data, network logs, telecom records, stock tick dataand sensor data. Solution is capable of storing and analyzing sensor data at IoT scale. Common use cases are forenterprises, SaaS and software companies in online businesses, telecommunications, financial services and otherindustries to provide rapid analysis of critical business data.

$21M Sun Microsystems, Flybridge, RBC

Spire [Bangalore, 2008]: Spire offers big data based enterprise technology that offers various solutions for supplychain management, customer relationship management, fraud intelligence, talent growth management and predictivetalent intelligence. Its technology solutions enable enterprises to make informed decisions with accurate demand-supply mapping from any combination of structured and unstructured data. Also provides fraud detection solutions bypulling in data from unstructured data such as documents, emails, SMS and reviews. The company has previouslyraised $1 million in a seed round from several angel investors.

$8M

Market6 [Ohio City, 2006]: Market6 is a big data analytics company that leverages retailers operational data toimprove overall business performance and enable better collaboration with suppliers. Our flagship is DemandView®,a suite of tools, reporting, and predictive analytics provided via Information Services or SaaS solutions that provides areal-time, forward-looking view of sales, promotion and distribution performance. DemandView is used by the largestsupermarket chain in the US, and is accessed by over 400 supplier partners

$5.5M Sevin Rosen Funds


Data Analytics

Data discovery


PlatformData





http://www.interana.com/

http://www.infobright.com/

http://www.spire2grow.com/

http://www.market6.com/




dMetrics [Brooklyn, 2009]: dMetrics is building the definitive map of consumer decision-making. It operated on aNLP based engine and has the team of MIT PhDs which have built a platform to analyze thousands of social networks,blogs, and forums, identifying and connecting people, their decisions about products, and rationale for thesedecisions. The result is a dynamic interest graph, helping companies and individuals make better decisions aboutproducts to use, campaigns to run, and companies to invest in. Its clients (from Fortune 500 to non-profits) usedMetrics to get the most accurate, unbiased, and transparent view of people’s actions, tracing decision making all theway from high-level market insights to high-value discussions. Understanding what people do - and why - is the nextfrontier of text analytics. Clicks, Likes and Retweets do not representatively convey the voice of the consumer,comprising a tiny portion of the information contributed by Internet users. Most of the Internet (other than photos ofkittens) is conversational: blog posts, forum discussions, Twitter dialogues. It claims to have a platform that extractsconsumer decisions from billions of online conversations. So far, its platform has served clients in healthcare whichhas resulted in the database of healthcare-centric insights about 14,000+ products. Similar repositories of consumerinsights for CPG, telecom, and banking industries are underway.

$2.3M National Science Fdn

deepsense.io [Menlo Park, 2014]: DeepSense product SeaHorse enables users to build Spark applications using anintuitive visual environment without the need to write any code. By dragging and dropping blocks from the palette ofavailable operations users are able to design any data workflow that contains such steps as: ETL, data manipulation,clean-up and reports, even up to advanced predictive modeling. It has a open-source community edition while theenterprise edition offers some more features.

$2M CodiLime

Aureus Analytics [Mumbai, 2013]: Provider of predictive analytics and big data ready platforms for insurancecompanies and banks. Their platform, ASAP, allows users to create, publish and execute analytical models. Focused onEurope &; the South East Asian Market. Customers include Bharti AXA Life Insurance, Aegon Religare Life Insuranceand General Insurance Council of India among others. Headquartered in Singapore with R&;D in Mumbai. Securedangel funding of $850k from a group of individual investors through LetsVenture.

$850k


Data Analytics

Data discovery


PlatformData





http://www.dmetrics.com/

http://www.deepsense.io/

http://www.aureusanalytics.com/