idc futurescape : worldwide internet of things 2017 predictions

IDC FutureScape: Worldwide

Internet of Things 2017 PredictionsCarrie MacGillivray, VP, IoT & Mobility

IDC Web Conference

November 8, 2016

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Today’s Speaker

Carrie MacGillivrayVP, IoT & Mobility

@CMacIDC

mailto:[email protected]

http://www.idc.com/idcfuturescapes2017

http://www.idc.com/itexecutive

http://idc-community.com/


IoT Predictions


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Open data platforms emerge

LPWAN conflict

Cycle time improve-

ments

Blockchain realized

Security evolves

Industry growth

IoT/IT services

The edge

Smart City assets

Analytics and IoT collide

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By 2018, the "open data platform" will emerge as the next frontier in

platform discussions, causing confusion for enterprises that already

invested in IoT platform solutions.

Despite hype on the benefits of low power WAN, such as LoRa and

Sigfox, its unlicensed spectrum and lack of QoS causes companies to

focus it on non-critical applications – with 3% deploying by 2018.

By 2018, investments in operational sensing through IoT and situational

awareness via analytics will deliver 30% improvements in critical process

cycle times.

By 2019, as IoT adoption grows in major industry, government and

consumer sectors, 20% of all IoT deployments will have basic levels of

blockchain services enabled.

By 2019, more than 75% of IoT device manufacturers will improve their

security and privacy capabilities, making them more trustworthy partners

for technology buyers.

In 2017, connected vehicles, insurance telematics, personal wellness, and

smart buildings will be four IoT use cases in the spotlight across all

worldwide regions, accounting for $96B spending.

As adoption of IoT grows, 75% of IoT adopters will turn to outside firms

for help in strategy, planning, development, implementation, and/or

management of these initiatives.

By 2019, at least 40% of IoT-created data will be stored, processed,

analyzed, and acted upon close to, or at the edge of, the network.

By 2019, 40% of local and regional governments will use IoT to turn

infrastructure like roads, street lights, and traffic signals into assets

instead of liabilities.

By 2019, all effective IoT efforts will merge streaming analytics with

machine learning trained on data lakes, marts, and content stores,

accelerated by discrete or integrated processors.

@CMacIDC

Drivers for IoT in 2017 and beyond

DX – technology-centric transformation altering business and society

New funding models – accelerating disruption and innovation

Everything, Everywhere – the rise of computer-based intelligence

Disruptive Fault lines – security, privacy and regulation

Shifting Economics – data as digital capital

Materialization – revolutionizing industrial and commercial processes

Platform Economy- the ecosystem battle for scale

For additional details on the above Drivers, please refer to report:

IDC FutureScape: Worldwide IoT 2017 Predictions (IDC #US40755816)


@CMacIDC

IDC FutureScape: IoT Prediction

Highlights

For additional details on the above Predictions, please refer to report:

IDC FutureScape: Worldwide IoT 2017 Predictions (IDC #US40755816)


LPWAN conflict

Open data

platforms emerge

Analytics & IoTcollide

The role of “the Edge”

@CMacIDC

IT Impact

Guidance

Short term thinking will not

provide sufficient coverage,

security & QoS for business

needs over long term

Time frame to scale may not fit

within deployment plans

Conduct due diligence against

the various connectivity options

that could be used for wide

area IoT deployments

Question long term viability,

quality access and scalability to

your evaluation checklist

LPWAN conflict: Despite hype on the benefits of LPWAN, such

as LoRA & Sigfox, its unlicensed spectrum & lack of QoS will

cause companies to focus it on non-critical applications with 3%

deploying by 2018



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LPWAN conflict

Cycle time improve-

ments

Blockchain realized

Security evolves

Industry growth

IoT/IT services

The edge

Smart City assets


4

2

@CMacIDC

Open data platforms emerge: By 2018, the “Open Data

Platform” will emerge as the next frontier in platform discussions,

causing confusion for enterprises that already invested in IoT

platform solutions



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LPWAN conflict

Cycle time improve-

ments

Blockchain realized

Security evolves

Industry growth

IoT/IT services

The edge

Smart City assets


IT Impact

Guidance

Linking existing IoT platform

investments with an open data

platform philosophy

Line of business will be

demanding a faster turnaround

on comprehensive data views

Ensure vendors are talking

about ‘open’, API-based, and

developer-friendly

environments

Partner with Line of Business

to look at the longer term data

requirements and plan for how

it will be integrated with the

current environment

@CMacIDC

Analytics & IoT collide: By 2019, all effective IoT efforts will

merge streaming analytics with machine learning trained on data

lakes, marts & content stores, accelerated by discrete or

integrated processors



OR

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0-12 12-24 24+

1

2

3

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8

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LPWAN conflict

Cycle time improve-

ments

Blockchain realized

Security evolves

Industry growth

IoT/IT services

The edge

Smart City assets


IT Impact

Guidance

Need for developers, data

scientists & operations teams to

work together to build reliable

algorithms and models

A combo of at-rest analytics and

continuous analytics will require

IT investments that extend to

continuous and micro-batch

movement & normalization of

data

Make evaluation and

experimentation with machine

learning for IoT use cases a top

priority

Evolve your end-to-end

continuous analytics

3

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@CMacIDC

The “Edge”: By 2019, at least 40% of IoT-created data will be

stored processed, analyzed and acted upon close to, or at the

Edge of, the network



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0-12 12-24 24+

1

2

3

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8

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LPWAN conflict

Cycle time improve-

ments

Blockchain realized

Security evolves

Industry growth

IoT/IT services

The edge

Smart City assets


IT Impact

Guidance

Investment required in

virtualization and software-

driven device management

solutions

“Edge” endpoints will be

vulnerable to security threats

Remote management services

will need to be

updated/acquired

Look for IT hardware vendors

with a IoT gateway strategy

Invest in network capacity to

handle variable and

unexpected data traffic

Ensure enterprise software

vendors have road maps that

have analytics engines that

address the ‘Edge’

requirements

@CMacIDC


IoT Predictions



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0-12 12-24 24+

1

2

3

4

5

6

7

8

9

10


LPWAN conflict

Cycle time improve-

ments

Blockchain realized

Security evolves

Industry growth

IoT/IT services

The edge

Smart City assets


1

2

3

4

5

6

7

8

9

10

By 2018, the "open data platform" will emerge as the next frontier in

platform discussions, causing confusion for enterprises that already

invested in IoT platform solutions.

Despite hype on the benefits of low power WAN, such as LoRa and

Sigfox, its unlicensed spectrum and lack of QoS causes companies to

focus it on non-critical applications – with 3% deploying by 2018.

By 2018, investments in operational sensing through IoT and situational

awareness via analytics will deliver 30% improvements in critical process

cycle times.

By 2019, as IoT adoption grows in major industry, government and

consumer sectors, 20% of all IoT deployments will have basic levels of

blockchain services enabled.

By 2019, more than 75% of IoT device manufacturers will improve their

security and privacy capabilities, making them more trustworthy partners

for technology buyers.

In 2017, connected vehicles, insurance telematics, personal wellness, and

smart buildings will be four IoT use cases in the spotlight across all

worldwide regions, accounting for $96B spending.

As adoption of IoT grows, 75% of IoT adopters will turn to outside firms

for help in strategy, planning, development, implementation, and/or

management of these initiatives.

By 2019, at least 40% of IoT-created data will be stored, processed,

analyzed, and acted upon close to, or at the edge of, the network.

By 2019, 40% of local and regional governments will use IoT to turn

infrastructure like roads, street lights, and traffic signals into assets

instead of liabilities.

By 2019, all effective IoT efforts will merge streaming analytics with

machine learning trained on data lakes, marts, and content stores,

accelerated by discrete or integrated processors.

@CMacIDC


Q&A

Carrie MacGillivray

Vice President

Mobility & IoT

[email protected]

@CMacIDC

mailto:[email protected]

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