Tracxn - Top Business Models - AR VR Industry Applications - Mar 2022Tracxn
Tracxn's proprietary #taxonomy brings to you top #BusinessModels in AR VR - Industry Applications rebrand.ly/ixapuj3
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Tracxn Startup Research: Data as a Service Landscape, August 2016Tracxn
The top three funded sub-sectors till date are market intelligence (149 investments, $1.3B), financial data providers (158 investments, $1.2B), and geospatial data providers.
Tracxn - Top Business Models - AR VR Industry Applications - Mar 2022Tracxn
Tracxn's proprietary #taxonomy brings to you top #BusinessModels in AR VR - Industry Applications rebrand.ly/ixapuj3
Get our free reports on #PracticeArea or #sector of your interest to your mailbox regularly https://rb.gy/cx2upn
Tracxn Startup Research: Data as a Service Landscape, August 2016Tracxn
The top three funded sub-sectors till date are market intelligence (149 investments, $1.3B), financial data providers (158 investments, $1.2B), and geospatial data providers.
Tracxn Research — Home Improvements Landscape, December 2016Tracxn
Companies using AR, VR, and 3D rendering technology for visualization of furniture saw almost a 3X spike in funding in 2016, from $12.6M in 2015, to $49.5M in 2016.
Tracxn Research — IoT Infrastructure Landscape, December 2016Tracxn
Twenty acquisition deals reported in the sector. Cisco’s acquisition of Jasper Networks for $1.4B is one of the biggest buyouts in the sector till date.
Tracxn Research - Chatbots Landscape, February 2017Tracxn
Deal volume and total dollars invested in the chatbots landscape rose by 108% and 129% respectively in 2016, with 192 chatbot startups setting up shop in 2016.
Tracxn Wind Energy Landscape Report July 2016Tracxn
The top business models are built around power generation (Greenko Group, ReNew Power Ventures), manufacturing (Clipper Wind, Suzlon), and service providers (SITAC Renewable energy, PNE Wind).
Tracxn Big Data Analytics Landscape Report, June 2016Tracxn
New Enterprise Associates, Andreessen Horowitz, Accel Partners, Intel Capital and Khosla Ventures are the top 5 investors in big data analytics, with over 10 investments each.
Tracxn Research — Ecommerce Enablers Landscape, November 2016Tracxn
The total M&A activity in the year to date was valued at more than $8.5B (excluding undisclosed acquisitions), while total investments were valued at $921M.
Tracxn Research Ad Tech Landscape, October 2016Tracxn
Investments in the adtech industry are driven by mobile, digital video, cross-screen advertising and programmatic buying targeting specific sectors or audience groups.
Tracxn Research — Home Improvements Landscape, December 2016Tracxn
Companies using AR, VR, and 3D rendering technology for visualization of furniture saw almost a 3X spike in funding in 2016, from $12.6M in 2015, to $49.5M in 2016.
Tracxn Research — IoT Infrastructure Landscape, December 2016Tracxn
Twenty acquisition deals reported in the sector. Cisco’s acquisition of Jasper Networks for $1.4B is one of the biggest buyouts in the sector till date.
Tracxn Research - Chatbots Landscape, February 2017Tracxn
Deal volume and total dollars invested in the chatbots landscape rose by 108% and 129% respectively in 2016, with 192 chatbot startups setting up shop in 2016.
Tracxn Wind Energy Landscape Report July 2016Tracxn
The top business models are built around power generation (Greenko Group, ReNew Power Ventures), manufacturing (Clipper Wind, Suzlon), and service providers (SITAC Renewable energy, PNE Wind).
Tracxn Big Data Analytics Landscape Report, June 2016Tracxn
New Enterprise Associates, Andreessen Horowitz, Accel Partners, Intel Capital and Khosla Ventures are the top 5 investors in big data analytics, with over 10 investments each.
Tracxn Research — Ecommerce Enablers Landscape, November 2016Tracxn
The total M&A activity in the year to date was valued at more than $8.5B (excluding undisclosed acquisitions), while total investments were valued at $921M.
Tracxn Research Ad Tech Landscape, October 2016Tracxn
Investments in the adtech industry are driven by mobile, digital video, cross-screen advertising and programmatic buying targeting specific sectors or audience groups.
Tracxn Research — Business Intelligence Landscape, September 2016Tracxn
Tracxn's Business Intelligence 2016 report covers companies that develop and provide Business Intelligence (BI) & Analytics software. It also covers prominent industry specific BI solutions.
Tracxn Research - Finance and Accounting Landscape, August 2016Tracxn
$3.3B has been invested in the finance and accounting startup landscape in 2015/2016, which witnessed the highest funding activity in 2015 ($2.6B, 124 rounds).
Tracxn Research — Artificial Intelligence Startup Landscape, September 2016Tracxn
Notable investments in 2016 include antivirus and endpoint protection vendor Cylance ($100M Series D), Digital Reasoning ($40M, Series D), and Globality, ($27M, Series B).
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Tracxn's proprietary #taxonomy brings to you top #BusinessModels in Top Business Models in Sustainability Tech Report https://tracxn.com/fm/dl/Gymr7Akd3ybI
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Tracxn - Southeast Asia Tech Monthly Funding ReportTracxn
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Tracxn - Top Business Models in Sustainability Tech - 26 Oct 2023Tracxn
Tracxn's proprietary #taxonomy brings to you top #BusinessModels in Top Business Models in Sustainability Tech Report https://tracxn.com/fm/dl/MnFvJ6UKhc9y
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Tracxn - United States Tech Monthly Funding ReportTracxn
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Tracxn - Top Business Models in High Tech - 27 Oct 2023Tracxn
Today's top #BusinessModel report is on Top Business Models in High Tech Report https://tracxn.com/platform/file-manager/file/ZmlsZUlkPUx5U0Qya01PRm9QbHJCTUM0UG9QVFJUeWJselF0RHJzSGU0dFlWMG5uWEk%3D
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Tracxn - Top Business Models in Vietnam Tech - 20 Oct 2023Tracxn
Here's a detailed analysis of top #BusinessModels in https://tracxn.com/platform/file-manager/file/ZmlsZUlkPVBXM1h4Sk53ZEJ6YTh0LWZMQkFtZ2kzaGk0X2JIV1gyVXduQjFMUVBXVnM%3D
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Tracxn - Top Business Models in Singapore Tech - 19 Oct 2023Tracxn
We are back with our latest report on top #BusinessModels in based on #Tracxn's #proprietary #taxonomy https://tracxn.com/platform/file-manager/file/ZmlsZUlkPVM4dk1Sa0E0SnBLWlVvQ2pOZ3pSbVhNYzFQYWhOdW1xay1oMkZ5a05sZms%3D
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Tracxn - Top Business Models in New Zealand Tech - 19 Oct 2023Tracxn
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Tracxn - Top Business Models in United Kingdom Tech - 18 Oct 2023Tracxn
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Tracxn -Top Business Models in Transportation and Logistics Tech - 17 Oct 2023Tracxn
Tracxn's proprietary #taxonomy brings to you top #BusinessModels in Top Business Models in Transportation and Logistics Tech Report https://tracxn.com/platform/file-manager/file/ZmlsZUlkPVBPc1FQMG5DTmM2TnZwUDY4MXJmOXhFYmNZVHFJQW9jS3pURURaQ1F2MWc%3D
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Tracxn - United Kingdom Tech Monthly Funding ReportTracxn
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Tracxn - Top Business Models in Sustainability Tech - 26 Oct 2023Tracxn
Today's top #BusinessModel report is on Top Business Models in Sustainability Tech Report https://tracxn.com/platform/file-manager/file/ZmlsZUlkPXJkUTJQSW56TEZpVU9BamlmWlpzY2dyMFVSNjJrU2NLcndfM3ZGUWZSRDg%3D
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Tracxn - United States Tech Monthly Funding ReportTracxn
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Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
2. Industrial IoT Report – October 2016
Tracxn
World’s Largest Startup Research Platform
2
3. Industrial IoT Report – October 20163
Topic Page No.
Scope of Report 04
Entrepreneur Activity 06
Investment Trend 10
Who is Investing 18
Exit Outlook - IPO, Acquisitions 22
Sub Sector Analysis 25
Interesting Companies 41
Useful Links 55
Company List 57
Team 156
Contents
4. Industrial IoT Report – October 20164
Sector Overview
Scope of report
This report covers companies that are riding the Internet of Things (IoT) wave to develop connected solutions for industries to
improve efficiency and make more informed decisions. The solutions provided are sensors which generate data from
surroundings, cloud systems which capture, store and analyse data and interfaces for visualization of data. Report excludes
legacy systems like ERP, SCADA etc and also excludes cloud solutions that pick up manually entered data.
Drones, Robots and enabling technologies like infrastructure platforms are not part of this report and would be present in other
relevant reports from Tracxn. For funding, this report only includes venture capital/private equity funding rounds and excludes
debt financing and grants/prize money.
The scope of this report includes equity as well as debt funding received by the companies.
5. Industrial IoT Report – October 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
5
6. Industrial IoT Report – October 2016
31
54
84
119
158
97
0
36
72
108
144
180
2010 2011 2012 2013 2014 2015
NumberofCompanies
6
YoY – Number of companies founded
Euclid Analytics Swirl Networks Sight Machine Tachyus Uptake Samsara
Propeller Health
(Asthamapolis)
Vital Connect DazzleTek Building Robotics
Farmer's Business
Network
AIRAg
7. Industrial IoT Report – October 20167
Large Upcoming Sectors
No. of Companies
Founded
Average
Age
No. of Companies
Funded
Business Model
Total
Funding
Example
73 2013 29 Retail > In-store Marketing $119M
Swirl Networks
2011, Boston
67 2011.4 38 Retail > Analytics $346M
RetailNext
2007, San Jose
17 2011.2 10
Healthcare > Medication
Adherence
$470M
Proteus Digital Health
2001, Redwood City
130 2010.8 57
Agriculture > Farm Monitoring and
Management
$244M
The Climate Corporation
2006, San Francisco
49 2010.2 30 Analytics $428M
OSIsoft
1980, San Leandro
58 2009.9 33 Smart Buildings > Energy Efficiency $1.1B
View Dynamic Glass
2007, Milpitas
34 2009.6 14 Surveillance > Asset Tracking $88M
Helium
2006, San Francisco
39 2009.6 19 Fleet Management $442M
SmartDrive
2004, San Diego
8. Industrial IoT Report – October 20168
Niche Upcoming Sectors
No. of Companies
Founded
Average
Age
No. of Companies
Funded
Business Model
Total
Funding
Tracxn Picks
7 2013 6 Agriculture > Analytics $57M
Farmer's Business Network
2014, Davenport
11 2012.6 8
Manufacturing > Workforce
Wearables
$73M
Atheer
2011, Mountain View
19 2012.2 8
Manufacturing > Machine
Monitoring
$36M
Samsara
2015, San Francisco
17 2011.6 10 Logistics $38M
Hi-G-Tek
1989, Rockville
13 2011.5 8 Agriculture > Aquaculture $6M
The Yield
2014, Sydney
8 2010.6 7 Oil & Gas $36M
Tachyus
2013, Palo Alto
9. Industrial IoT Report – October 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
9
10. Industrial IoT Report – October 201610
YoY – Number of Rounds and Total Funding
Note: The funding includes debt rounds also.
$229M
$150M
$312M
$400M
$361M
$493M
$716M
$863M
$458M
15
29 48
47
68
109 122
171
87
0
36
72
108
144
180
0
200
400
600
800
1000
2008 2009 2010 2011 2012 2013 2014 2015 2016
NumberofRounds
FundingAmount(inMillions)
Funding Amount Number of Rounds
11. Industrial IoT Report – October 201611
YoY – Number of Rounds by Stage
12
24
57 61
73
3819
18
26
34
58
29
6
13
13
9
17
10
0
32
64
96
128
160
2011 2012 2013 2014 2015 2016
NumberofRounds
Seed Early Late
13. Industrial IoT Report – October 201613
Average Ticket Size – Early Stage
$0.8M $0.2M $0.7M $1.0M $0.9M $0.9M
$3.7M $3.1M
$4.7M $4.8M $5.1M $5.4M
$38.0M
$8.9M
$7.5M
$8.4M
$12.2M
$11.2M
0.0
8.0
16.0
24.0
32.0
40.0
2011 2012 2013 2014 2015 2016
FundingAmount(inMillions)
Seed Series A Series B
14. Industrial IoT Report – October 201614
Top investments in last one year
Company
Funding
Amount
Round
Name
Date Investors
proteus.com
Proteus Digital Health
(Redwood City, 2001)
$50M Series H Apr-2016
uptake.com
Uptake
(Palo Alto, 2014)
$45M Series B Oct-2015 NEA, Lightbank, General Purpose Vehicles, Caterpillar
viewglass.com
View Dynamic Glass
(Milpitas, 2007)
$44M Debt Apr-2016
farmersedge.ca
Farmers Edge
(Winnipeg, 2005)
$41M Series C Jan-2016 Mitsui, KPCB
condecosoftware.com
Condeco
(London, 2005)
$30M Series A Jun-2016 Highland Europe
earlysense.com
EarlySense
(Ramat Gan, 2004)
$25M Series G Jun-2016 Bank Hapoalim, Pitango Venture Capital, JK&B Capital
enlightedinc.com
Enlighted
(Sunnyvale, 2009)
$25M Series D Feb-2016 KPCB, RockPort Capital, Draper Fisher Jurvetson, Tao Capital Partners
enlightedinc.com
Enlighted
(Sunnyvale, 2009)
$20M Debt Feb-2016 Square 1 Bank
15. Industrial IoT Report – October 201615
Top investments in last one year
Company
Funding
Amount
Round
Name
Date Investors
euclidanalytics.com
Euclid Analytics
(Palo Alto, 2010)
$20M Series C Jan-2016 Cox Enterprises, Benchmark Capital, NEA, Harrison Metal, Gold Sky Capital
farmersbusinessnetwork.c
om
Farmer's Business
Network
(Davenport, 2014)
$20M Series C Aug-2016 Acre Venture Partners, KPCB, DBL Partners, GV
helium.com
Helium
(San Francisco, 2006)
$20M Series B Apr-2016 GV, Khosla Ventures, FirstMark Capital, Munich Re
vitalconnect.com
Vital Connect
(Campbell, 2011)
$18M Series B Jun-2016
savi.com
Savi Technology
(Alexandria, 1989)
$15M Series C Nov-2015 SGS
nomi.com
Nomi
(New York City, 2012)
$15M Debt Jan-2016 Horizon Technology Finance
atheerair.com
Atheer
(Mountain View,
2011)
$14M Series B Dec-2015
streamlineventures.com, Signature Capital, Rona Holdings, FundersClub, fanggroup.com,
Shanda Group
sightmachine.com
Sight Machine
(San Francisco, 2012)
$14M Series B Mar-2016
Jump Capital, GE Ventures, Two Roads Group, Pritzker Group, IA Venttures, O'Reilly
AlphaTech Ventures, Mercury Fund, Huron River Ventures, Orfin Ventures
16. Industrial IoT Report – October 201616
Funnel view of Sector
Percent of
Previous
0.66%
0.26%
0.41%
23
27
50
122
474
723
0 160 320 480 640 800
M&A & IPO
Late
Series B
Series A
Funded
Founded
Number of Companies
17. Industrial IoT Report – October 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
17
18. Industrial IoT Report – October 201618
Most Active Investors in Sector
17
14
12
11 11 11
10
9
8
7
0
4
7
11
14
18
NEA Khosla Ventures Plug and Play
Tech Center
Intel Capital KPCB Qualcomm
Ventures
Ben Franklin
Technology
Partners
Techstars Business
Development
Bank of Canada
Benchmark
Capital
TotalNumberofRounds
Uptake View Dynamic Glass Timeli Enlighted Telogis RetailNext Prova Systems Footmarks.com GridPoint GreenRoad
GridPoint Tule Retailigence Sotera Wireless OSIsoft Sotera Wireless Data Inventions Chargifi BitStew Euclid Analytics
21. Industrial IoT Report – October 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
21
22. Industrial IoT Report – October 201622
Major Acquisitions in last one year
Date Company Acquirer Deal Size Overview
Total
Funding
Oct-2015 datasnap.io
Datasnap
(San Francisco, 2014)
neustar.biz
Proximity-Triggered Measurement
i-Hatch Ventures, Handmade, Lerer Hippeau Ventures
$1.3M
Feb-2015 dilax.com
Dilax
(Berlin, 1988)
vrep.de Undisclosed
Technology solutions provider of intelligent visitor tracking
OMOS Equity Partners
Feb-2015 fancythatapp.com
FT Technologies
(Palo Alto, 2013)
palantir.com Null USD
Retail analytics
Jun-2012 aeroscout.com
AeroScout
(Rehovot, 1999)
stanleyhealt
hcare.com
$238.8M
Real-Time Location System (RTLS)
Greylock Partners, Pitango Venture Capital, Intel Capital, Menlo Ventures,
Western Technology Investment, Evergreen Venture Partners, Star Ventures,
Qumra Capital, Cisco Investments, 83North, Eureka Ventures
$28M
Oct-2015 eltav.com
Eltav
(Ra'anana, 2006)
rotork.com
Wireless valve monitoring solution
Hutchison
$3.5M
May-2014 cardiomems.com
CardioMEMS
(Atlanta, 2001)
sjm.com $375M
Wireless sensor-based cardiac implants
Vision Capital, Saints Capital, Foundation Medical Partners, Medtronic, Boston
Millennia Partners, Easton Capital, Arboretum Ventures, Arcapita, Deerfield
Capital Management, Aperture Venture Partners, Boston Millennia Partners,
Rockport Venture Partners, CIFC Asset Management, Vision Capital Advisors, St.
Jude Medical, Georgia Tech VentureLab
$153M
24. Industrial IoT Report – October 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
24
25. Industrial IoT Report – October 201625
October 2016Tracxn Bluebox : Industrial IoT
590+ companies in the sector, 283 funded in last 5 years, $1.32B invested in 2015/16
40. Industrial IoT Report – October 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
40
41. Industrial IoT Report – October 201641
Interesting Unfunded Companies
Company Overview
Business
Model
75f.io
75fahrenheit
(2012, Mankato)
Technology solutions for energy conservation and resolve temperature
imbalence
Smart Buildings > Automation
strobilanthes.com
Strobilanthes
(2013, Chennai)
Smart product for hospitality and healthcare industry
Healthcare
arniot.com
Arniot
(2013, Bangalore)
Industrial automation and asset tracking solutions through IoT Technology
Logistics
smartbuildings.in
SmartBuildings
(2012, Bangalore)
Sensor technology for energy conservation, management and monitoring in
buildings
Smart Buildings > Energy Efficiency
entrib.com
Entrib
(2010, Pune)
IoT for shop floor of manufacturers
Manufacturing > Machine Monitoring
m2mlogger.com
m2mlogger
(2013, Delhi)
Cloud based IoT solution for industrial remote monitoring
Surveillance > Asset Tracking
preferred-networks.jp
Preferred Networks
(2014, Tokyo)
Deep Learning Platform for Industries
Analytics
tethr.it
Tethr.it
(2015, Bangalore)
IoT based platform for industrial usage
Surveillance > Asset Tracking
Curated list of companies by the sector analyst are defined as Interesting
54. Industrial IoT Report – October 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
54
55. Industrial IoT Report – October 201655
Useful Links
Slide Title Content Platform Link
List of All Companies in readable format Companies Link
Large Upcoming Sectors Entrepreneur Activity Link
Top investments in last one year Investment Trend Link
Major Acquisitions in last one year Exit Outlook - IPO, Acquisitions Link
Horizontal – Most Funded Companies Sub Sector Understand Link
56. Industrial IoT Report – October 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
56
57. Industrial IoT Report – October 201657
Industrial IoT – Company List
Healthcare
Smart
Buildings
Fleet
Management
Retail Analytics Agriculture
Manufacturing Surveillance Office Oil & Gas Logistics
Workforce
Wearables
375 FUNDED COMPANIES AND 349 UNFUNDED COMPANIES
COVERS THE FOLLOWING SECTORS
58. Industrial IoT Report – October 201658
Healthcare (1/8)
Company Overview Business Model Total Funding
Eko Devices
(2012, Berkeley)
Analog to digital conversion of stethoscopes through an attachment
and software
Hub Ventures, Founder, Better, StartX
$2.8M
Xetal
(2013, Bonheiden)
Position sensors for indoor people localisation
Techfounders $27K
WaferLabs
(2015, Mysore)
IoT startup providing hardware products for industries.
DYRE Solutions
(2015, Hong Kong)
Development phase patient tracking device
Metrix Health
(2014, Menlo Park)
Operational tools to streamline clinical workflow
Bend Labs
(2013, Seattle)
A wearable soft sensor platform for measuring human motion.
Medann
(2014, Vancouver)
Wall mounted sensor for medical event detection
IntelligentM
(2011, Sarasota)
Monitor, manage, and improve healthcare workers' hand hygiene
Go to BM List >> Smart Buildings
59. Industrial IoT Report – October 201659
Healthcare (2/8)
Company Overview Business Model Total Funding
LiveTrust
(2012, Las Condes)
Remote patient monitoring system for providers
Strobilanthes
(2013, Chennai)
Smart product for hospitality and healthcare industry
Proteus Digital Health
(2001, Redwood City)
Medical adherence monitoring system
Oracle, Silicon Valley Bank, Adams Street Partners, ITOCHU
Corporation, Kaiser Permanente Ventures, Asset Management
Ventures, Essex Woodlands, The Carlyle Group, Medtronic, Novartis,
Oxford Finance, Fletcher Spaght, Helix Ventures, St. Jude Medical, ON
Semiconductor, Otsuka America Pharmaceutical, Spring Ridge Ventures,
Affinity Capital, Sailing Capital
Medication Adherence $404M
Propeller Health
(Asthamapolis)
(2010, Madison)
Mobile platform and sensor for respiratory health management
Kapor Capital, S23P, California HealthCare Foundation, Safeguard
Scientifics, Social Capital
Medication Adherence $20.55M
PharmRight Corporation
(2014, Charleston)
Medication dispenser and adherence monitoring solution
IncWell, SCRA, South Carolina Angel Network Medication Adherence $3.7M
AdhereTech
(2011, New York City)
Smart pill bottles that improve medication adherence
Blueprint Health Medication Adherence $2.37M
Common Sensing
(2012, Cambridge)
Diabetes management equipment
Sanofi Medication Adherence $1.13M
Go to BM List >> Smart Buildings
60. Industrial IoT Report – October 201660
Healthcare (3/8)
Company Overview Business Model Total Funding
Health Beacon
(2014, Dublin)
Smart device for medication adherence and sharps disposal
Enterprise Ireland Medication Adherence $1.11M
Remind Technologies
(2013, Humble)
Medication adherence device
Medication Adherence $160k
CareTRx
(2012, Cambridge)
Mobile app and sensor to manage asthma through gamification
Blue Cross Blue Shield of Massachusetts Medication Adherence $50k
Pillsy
(2014, Seattle)
Smart pill container and app
500 Startups, Ontario Centres of Excellence Medication Adherence $20k
SIMpill
(2004, Cape Town)
A portable medication Adherence System
Medication Adherence
Amiko
(2014, Milan)
A Fitbit for medicine packs
Medication Adherence
N2 Medical Solutions
(2014, Winston-Salem)
Medication adherence monitoring and intervention system
Medication Adherence
PillBill
(2014, Dusseldorf)
Remote medication and disease management system
Medication Adherence
Go to BM List >> Smart Buildings
61. Industrial IoT Report – October 201661
Healthcare (4/8)
Go to BM List >> Smart Buildings
62. Industrial IoT Report – October 201662
Healthcare (5/8)
Go to BM List >> Smart Buildings
63. Industrial IoT Report – October 201663
Healthcare (6/8)
Go to BM List >> Smart Buildings
64. Industrial IoT Report – October 201664
Healthcare (7/8)
Go to BM List >> Smart Buildings
65. Industrial IoT Report – October 201665
Healthcare (8/8)
Go to BM List >> Smart Buildings
66. Industrial IoT Report – October 201666
Smart Buildings (1/10)
Healthcare << Go to BM List >> Fleet Management
67. Industrial IoT Report – October 201667
Smart Buildings (2/10)
Healthcare << Go to BM List >> Fleet Management
68. Industrial IoT Report – October 201668
Smart Buildings (3/10)
Healthcare << Go to BM List >> Fleet Management
69. Industrial IoT Report – October 201669
Smart Buildings (4/10)
Healthcare << Go to BM List >> Fleet Management
70. Industrial IoT Report – October 201670
Smart Buildings (5/10)
Healthcare << Go to BM List >> Fleet Management
71. Industrial IoT Report – October 201671
Smart Buildings (6/10)
Healthcare << Go to BM List >> Fleet Management
72. Industrial IoT Report – October 201672
Smart Buildings (7/10)
Healthcare << Go to BM List >> Fleet Management
73. Industrial IoT Report – October 201673
Smart Buildings (8/10)
Healthcare << Go to BM List >> Fleet Management
74. Industrial IoT Report – October 201674
Smart Buildings (9/10)
Healthcare << Go to BM List >> Fleet Management
75. Industrial IoT Report – October 201675
Smart Buildings (10/10)
Healthcare << Go to BM List >> Fleet Management
76. Industrial IoT Report – October 201676
Fleet Management (1/5)
Smart Buildings << Go to BM List >> Retail
77. Industrial IoT Report – October 201677
Fleet Management (2/5)
Smart Buildings << Go to BM List >> Retail
78. Industrial IoT Report – October 201678
Fleet Management (3/5)
Smart Buildings << Go to BM List >> Retail
79. Industrial IoT Report – October 201679
Fleet Management (4/5)
Smart Buildings << Go to BM List >> Retail
80. Industrial IoT Report – October 201680
Fleet Management (5/5)
Smart Buildings << Go to BM List >> Retail
81. Industrial IoT Report – October 201681
Retail (1/19)
Fleet
Management
<< Go to BM List >> Analytics
82. Industrial IoT Report – October 201682
Retail (2/19)
Fleet
Management
<< Go to BM List >> Analytics
83. Industrial IoT Report – October 201683
Retail (3/19)
Fleet
Management
<< Go to BM List >> Analytics
84. Industrial IoT Report – October 201684
Retail (4/19)
Fleet
Management
<< Go to BM List >> Analytics
85. Industrial IoT Report – October 201685
Retail (5/19)
Fleet
Management
<< Go to BM List >> Analytics
86. Industrial IoT Report – October 201686
Retail (6/19)
Fleet
Management
<< Go to BM List >> Analytics
87. Industrial IoT Report – October 201687
Retail (7/19)
Fleet
Management
<< Go to BM List >> Analytics
88. Industrial IoT Report – October 201688
Retail (8/19)
Fleet
Management
<< Go to BM List >> Analytics
89. Industrial IoT Report – October 201689
Retail (9/19)
Fleet
Management
<< Go to BM List >> Analytics
90. Industrial IoT Report – October 201690
Retail (10/19)
Fleet
Management
<< Go to BM List >> Analytics
91. Industrial IoT Report – October 201691
Retail (11/19)
Fleet
Management
<< Go to BM List >> Analytics
92. Industrial IoT Report – October 201692
Retail (12/19)
Fleet
Management
<< Go to BM List >> Analytics
93. Industrial IoT Report – October 201693
Retail (13/19)
Fleet
Management
<< Go to BM List >> Analytics
94. Industrial IoT Report – October 201694
Retail (14/19)
Fleet
Management
<< Go to BM List >> Analytics
95. Industrial IoT Report – October 201695
Retail (15/19)
Fleet
Management
<< Go to BM List >> Analytics
96. Industrial IoT Report – October 201696
Retail (16/19)
Fleet
Management
<< Go to BM List >> Analytics
97. Industrial IoT Report – October 201697
Retail (17/19)
Fleet
Management
<< Go to BM List >> Analytics
98. Industrial IoT Report – October 201698
Retail (18/19)
Fleet
Management
<< Go to BM List >> Analytics
99. Industrial IoT Report – October 201699
Retail (19/19)
Fleet
Management
<< Go to BM List >> Analytics
100. Industrial IoT Report – October 2016100
Analytics (1/7)
Retail << Go to BM List >> Agriculture
101. Industrial IoT Report – October 2016101
Analytics (2/7)
Retail << Go to BM List >> Agriculture
102. Industrial IoT Report – October 2016102
Analytics (3/7)
Retail << Go to BM List >> Agriculture
103. Industrial IoT Report – October 2016103
Analytics (4/7)
Retail << Go to BM List >> Agriculture
104. Industrial IoT Report – October 2016104
Analytics (5/7)
Retail << Go to BM List >> Agriculture
105. Industrial IoT Report – October 2016105
Analytics (6/7)
Retail << Go to BM List >> Agriculture
106. Industrial IoT Report – October 2016106
Analytics (7/7)
Retail << Go to BM List >> Agriculture
107. Industrial IoT Report – October 2016107
Agriculture (1/25)
Analytics << Go to BM List >> Manufacturing
108. Industrial IoT Report – October 2016108
Agriculture (2/25)
Analytics << Go to BM List >> Manufacturing
109. Industrial IoT Report – October 2016109
Agriculture (3/25)
Analytics << Go to BM List >> Manufacturing
110. Industrial IoT Report – October 2016110
Agriculture (4/25)
Analytics << Go to BM List >> Manufacturing
111. Industrial IoT Report – October 2016111
Agriculture (5/25)
Analytics << Go to BM List >> Manufacturing
112. Industrial IoT Report – October 2016112
Agriculture (6/25)
Analytics << Go to BM List >> Manufacturing
113. Industrial IoT Report – October 2016113
Agriculture (7/25)
Analytics << Go to BM List >> Manufacturing
114. Industrial IoT Report – October 2016114
Agriculture (8/25)
Analytics << Go to BM List >> Manufacturing
115. Industrial IoT Report – October 2016115
Agriculture (9/25)
Analytics << Go to BM List >> Manufacturing
116. Industrial IoT Report – October 2016116
Agriculture (10/25)
Analytics << Go to BM List >> Manufacturing
117. Industrial IoT Report – October 2016117
Agriculture (11/25)
Analytics << Go to BM List >> Manufacturing
118. Industrial IoT Report – October 2016118
Agriculture (12/25)
Analytics << Go to BM List >> Manufacturing
119. Industrial IoT Report – October 2016119
Agriculture (13/25)
Analytics << Go to BM List >> Manufacturing
120. Industrial IoT Report – October 2016120
Agriculture (14/25)
Analytics << Go to BM List >> Manufacturing
121. Industrial IoT Report – October 2016121
Agriculture (15/25)
Analytics << Go to BM List >> Manufacturing
122. Industrial IoT Report – October 2016122
Agriculture (16/25)
Analytics << Go to BM List >> Manufacturing
123. Industrial IoT Report – October 2016123
Agriculture (17/25)
Analytics << Go to BM List >> Manufacturing
124. Industrial IoT Report – October 2016124
Agriculture (18/25)
Analytics << Go to BM List >> Manufacturing
125. Industrial IoT Report – October 2016125
Agriculture (19/25)
Analytics << Go to BM List >> Manufacturing
126. Industrial IoT Report – October 2016126
Agriculture (20/25)
Analytics << Go to BM List >> Manufacturing
127. Industrial IoT Report – October 2016127
Agriculture (21/25)
Analytics << Go to BM List >> Manufacturing
128. Industrial IoT Report – October 2016128
Agriculture (22/25)
Analytics << Go to BM List >> Manufacturing
129. Industrial IoT Report – October 2016129
Agriculture (23/25)
Analytics << Go to BM List >> Manufacturing
130. Industrial IoT Report – October 2016130
Agriculture (24/25)
Analytics << Go to BM List >> Manufacturing
131. Industrial IoT Report – October 2016131
Agriculture (25/25)
Analytics << Go to BM List >> Manufacturing
132. Industrial IoT Report – October 2016132
Manufacturing (1/7)
Agriculture << Go to BM List >> Surveillance
133. Industrial IoT Report – October 2016133
Manufacturing (2/7)
Agriculture << Go to BM List >> Surveillance
134. Industrial IoT Report – October 2016134
Manufacturing (3/7)
Agriculture << Go to BM List >> Surveillance
135. Industrial IoT Report – October 2016135
Manufacturing (4/7)
Agriculture << Go to BM List >> Surveillance
136. Industrial IoT Report – October 2016136
Manufacturing (5/7)
Agriculture << Go to BM List >> Surveillance
137. Industrial IoT Report – October 2016137
Manufacturing (6/7)
Agriculture << Go to BM List >> Surveillance
138. Industrial IoT Report – October 2016138
Manufacturing (7/7)
Agriculture << Go to BM List >> Surveillance
139. Industrial IoT Report – October 2016139
Surveillance (1/9)
Manufacturing << Go to BM List >> Office
140. Industrial IoT Report – October 2016140
Surveillance (2/9)
Manufacturing << Go to BM List >> Office
141. Industrial IoT Report – October 2016141
Surveillance (3/9)
Manufacturing << Go to BM List >> Office
142. Industrial IoT Report – October 2016142
Surveillance (4/9)
Manufacturing << Go to BM List >> Office
143. Industrial IoT Report – October 2016143
Surveillance (5/9)
Manufacturing << Go to BM List >> Office
144. Industrial IoT Report – October 2016144
Surveillance (6/9)
Manufacturing << Go to BM List >> Office
145. Industrial IoT Report – October 2016145
Surveillance (7/9)
Manufacturing << Go to BM List >> Office
146. Industrial IoT Report – October 2016146
Surveillance (8/9)
Manufacturing << Go to BM List >> Office
147. Industrial IoT Report – October 2016147
Surveillance (9/9)
Manufacturing << Go to BM List >> Office
148. Industrial IoT Report – October 2016148
Office (1/2)
Surveillance << Go to BM List >> Oil & Gas
149. Industrial IoT Report – October 2016149
Office (2/2)
Surveillance << Go to BM List >> Oil & Gas
150. Industrial IoT Report – October 2016150
Oil & Gas
Office << Go to BM List >> Logistics
151. Industrial IoT Report – October 2016151
Logistics (1/3)
Oil & Gas << Go to BM List >>
Workforce
Wearables
152. Industrial IoT Report – October 2016152
Logistics (2/3)
Oil & Gas << Go to BM List >>
Workforce
Wearables
153. Industrial IoT Report – October 2016153
Logistics (3/3)
Oil & Gas << Go to BM List >>
Workforce
Wearables
154. Industrial IoT Report – October 2016154
Workforce Wearables
Logistics << Go to BM List
155. Industrial IoT Report – October 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
155
156. Industrial IoT Report – October 2016156
Team
156
Vivek Singh
Lead Analyst, Technology