Intelligent Personal Assistant

COPYRIGHT © 2016 KAMITIS - ALL RIGHTS RESERVED SAMPLE INTELLIGENT PERSONAL ASSISTANT – PRODUCTS, TECHNOLOGIES AND MARKET : 2017 – 2022

Intelligent Personal Assistant PRODUCTS, TECHNOLOGIES AND MARKET

2017 - 2022

COPYRIGHT © 2016 KAMITIS - ALL RIGHTS RESERVED 1 INTELLIGENT PERSONAL ASSISTANT – PRODUCTS, TECHNOLOGIES AND MARKET : 2017 – 2022

Foreword

Thanks to the rise in smartphone sales, there is a growth in Intelligent Personal

Assistant (IPA) usage. In fact, assistants like Siri, Google Now or S Voice are

installed by default.

Even though the technologies are old, they should get better with time in order

to make IPAs more efficient and allow them to provide a high value service.

IPAs allow users to gain some time, to organize their lives (schedule meetings,

set up reminders), help with IoT and brand interests. Indeed, brands could invest

and get themselves on the lists used by IPAs, just like they optimize their website

for search engines.

The market is expected to reach $4.619 billion by the end of 2022 thanks to

technological drivers such as Artificial Intelligence, the increase in the use of

smartphones and the utilization of data.

This study presents: the different technologies and the products, an analysis of

the drivers and challenges as well as the market forecast, scenarios, a list of

companies and interviews of experts.


KAMITIS is a firm that specializes in scientific expertise, in business intelligence and technology watch, and in financing for innovation. We mainly operate through working with innovative companies, but also intervene on behalf of institutions.

For our clients, we produce state-of-the-art technology studies, market studies, technical and economic studies and benchmarking. We also assist them in identifying and obtaining the best possible financing for their projects.

Lyon - FRANCE 52 Rue de la République 69002 For more information:

[email protected] - www.kamitis.com

mailto:[email protected]

http://www.kamitis.com/


TABLE OF CONTENTS

Methodology 4

Definition 5 Technology 9

Voice Recognition 11 Natural Language Processing 13 Deep Learning 15

17 Mapping of Product

77 Drivers and Challenges

24 The drivers of the market

29 The challenges of the market

32 Market forecasts

38 Scenarios

Mapping of companies 39

Experts’ Insight 59 References 69 List of figures 70 List of tables 70 Companies mentioned 71


Research Methodology

Our team is made up of multidisciplinary experts who have acquired solid

experience within international groups in the fields of electronics,

telecommunications, information technology, chemistry, materials sciences,

biotechnology, and so on.

Our tools and process

Kamitis uses advanced tools to crawl the visible and invisible web.

Everyday, our team leads a proactive watch to collect every data needed to

construct our analysis and to provide an exhaustive mapping of the subject.

Our studies

Every Kamitis’ studies contain:

- market presentation,

- drivers and challenges analysis,

- market forecasts,

- mappings of products and firms

- experts and/or consumers insight

We implement a mix of primary and secondary research for our market analysis

and forecasts. Our team starts with the secondary data gathering. We lead

extensive data mining to gather data from trustworthy sources such as

scientific papers, independent studies, technical journals, trade magazines,

company reports…etc.

The primary research, based on experts’ interviews, helps our team to validate

the market and to anticipate it.

Our market forecasts are based on these researches which lead us to construct

a mathematical model to predict the market evolution for the next 6 years.

Data collection

Primary research Secondary research

- Professors /Engineers - Manufacturers - IPA companies’ CEOs

- Scientific paper - Technical journals - Trade magazines - Company reports


List of figures

Figure 1: Evolution of personal assistants

Figure 2: Speech Recognition process

Figure 3: Natural Language Processing process

Figure 4: Deep learning process

Figure 5: Specialization of the Intelligent Personal Assistant

Figure 6 : The use of Assistants by American consumers

Figure 7 : The evolution of the average time spent on housework (in min)

Figure 8 : The worldwide evolution of Smartphone sales (in millions)

Figure 9 : The average time spend on Smartphones every day

Figure 10: How old Siri’s technology is

Figure 11: Global IPAs market value from 2017 to 2022 (USD millions)

Figure 12: Global Artificial Intelligence market value from 2017 to 2022 (USD millions)

Figure 13: Growth trajectory – IPAs vs Artificial Intelligence (AI)

Figure 14: Ratio IPAs – Artificial Intelligence

Figure 15: Companies location

Figure 16: Companies size

List of tables

Table 1: Back end search process

Table 2: Natural Language Processing methods

Table 3: Benchmark of Intelligent Personnel Assistant Table 4: Global IPAs market value from 2017 to 2022 (USD millions)

Table 5: Global Artificial Intelligence market value from 2017 to 2022 (USD millions)

Table 6: Growth trajectory – IPAs vs Artificial Intelligence (AI)


Table 7: Ratio IPAs – Artificial Intelligence

Table 8: Table of companies

Companies mentioned

24me LTD

Ainova Robotics Inc

Amazon

Apple

Artificial Solutions

Brainasoft

Charlie Contacts Corp.

Clara Labs

Cubic Robotics Inc

EasilyDo Inc.

Facebook

Friendly Finances, Inc.

Gladys

Google

HTC

IBM

Ipsoft

JAM

KulTek, LLC

LG

Maluuba Inc

Microsoft

Mywave

Nerdy Technologies Ltd.

Nuance Communucation Inc

Operator

Ozlo

Pannous

Prototyping Management Cor

Robin Labs

Samsung

Sherpa

SoundHound Inc

Speaktoit. Inc

WePopp

Wiidii


Mapping of products

Intelligent personal assistants use explicit and implicit data to

help users in the management of their daily lives.

Some are business oriented, helping business owners or

employees with scheduling meetings for example. But most of

XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX



Which use?

Intelligent personal assistants are focused on assisting everyone

in the management of their daily life. If someone wants to find

food, addresses, music or a piece of information, the IPA must





.


Drivers and challenges IPAs have evolved a lot throughout the years.


Market forecasts

Today, the major part of IPAs is free because it only provides a

limited service

Table 4 : Global IPAs market value from 2017 to 2022 (USD millions)

Years 2017 2018 2019 2020 2021 2022

Volume (millions USD) xxxxxx xxxxxx xxxxxx xxxxxx xxxxxx 4,619.93

Growth rate xxxxxx xxxxxx xxxxxx xxxxxx xxxxxx

Figure 12 : Global Artificial Intelligence market value

from 2017 to 2022 (USD millions)

Figure 13 : Growth trajectory – IPAs vs Artificial Intelligence (AI)

IPAs Growth

AI Growth

2017 2018 2019 2020 2021 2022


Mapping of companies We indentified 38 companies that design IPAs. A great number

of those companies were created after 2000.

Intelligent Personal Assistant

Documents