The mobile economy in China and India has grown by leaps and bounds over the past decade. Mobile technology has the potential to shrink the broadband gap, improve financial inclusion, and support humanitarian efforts. A recent report from the Boston Consulting Group adds another interesting perspective into the existing conversation about the impact of mobile technologies. India appears poised to eschew building up its fixed broadband infrastructure and jump directly to mobile. Small and medium-sized enterprises (SMEs) in India appeared poised to take advantage of this amazing change.

Mobile innovation lower costs and improve performance

Source: Boston Consulting Group

Maximum download speeds have risen greatly when comparing second generation networks with current fourth generation technology. 2G networks were capable of reaching 20 kilobits per second and 4G technologies can reach 250 megabits per second, which is about 12,000 times faster. At the same time the actual cost of network infrastructure per megabyte is falling dramatically: a 95 percent decrease from 2G to 3G and 67 percent decrease from 3G to 4G. Subsequently, the consumer cost of data per megabyte decreased sharply. From 2005 to 2013, the average cost of a mobile subscription relative to the maximum data speed dropped about 40 percent each year or 99 percent in an 8 year period. Higher speeds and lower costs make mobile a viable development platform for SMEs. In America this had led to the growth of the app economy. In India this effect is even more pronounced.

Widespread use of mobile technologies fuels the leap

In 2013 India reached 900 million mobile connections and became the second largest market in terms of mobile connections and unique subscribers. Indians spend 45 percent of their incomes on mobile technologies and platforms whereas Americans only spend 11 percent.

Source: World Bank Indicators

For the average Indian, mobile is the only point-of-entry to the Internet. Mobile devices are much more common than computers. The PC penetration rate in India of 5 percent stands in stark contrast to the 75 percent rate for mobile devices. Rates of fixed broadband Internet usage increased at a snails pace in India and at the same time mobile cellular subscriptions soared. More and more people in India are choosing to access Internet solely through mobile devices. Currently about 34 percent of people in India access the Internet exclusively from mobile devices. Flipkart an Indian e-commerce company predicts that 75 to 80 percent of their customer’s traffic will come on mobile platforms. The proliferation of mobile technologies in India provides incentives for SMEs to focus on developing mobile oriented business models.

Existing mobile focused SMEs lead the leap

SMEs in India place a greater emphasis on mobile platforms compared to companies in other countries. About 25 to 35 percent of surveyed SMEs in India are identified as mobile leaders, firms that use mobile productivity tools, operational tools (real-time job tracking or mobile data analytics) and sales and marketing tools. In developed countries such as Germany, only 14 percent of the surveyed SMEs are mobile leaders. Further, mobile oriented SMEs are thriving in India in a variety of fields. India’s largest E-commerce marketplace Flipkart Sidesteps has seen its traffic grow twice as face on mobile when compared with PC. Anti-violence apps such as FightBack and mobile health initiatives such as Swasthya Samvedana Sena are also experiencing great success.

India is in the midst of a mobile revolution that is categorically different than other parts of the world. Without existing complex legacy systems, businesses in India are now in the unique position to leapfrog terrestrial Internet technologies and reap the full benefits of a truly mobile economy.

Yikun Chi contributed to this post

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Nearly 30 years ago, the economists Robert Solow and Stephen Roach caused a stir when they pointed out that, for all the billions of dollars being invested in information technology, there was no evidence of a payoff in productivity. Businesses were buying tens of millions of computers every year, and Microsoft had just gone public, netting Bill Gates his first billion. And yet, in what came to be known as the productivity paradox, national statistics showed that not only was productivity growth not accelerating; it was actually slowing down. “You can see the computer age everywhere,” quipped Solow, “but in the productivity statistics.”

Today, we seem to be at a similar historical moment with a new innovation: the much-hyped Internet of Things – the linking of machines and objects to digital networks. Sensors, tags, and other connected gadgets mean that the physical world can now be digitized, monitored, measured, and optimized. As with computers before, the possibilities seem endless, the predictions have been extravagant – and the data have yet to show a surge in productivity.

A year ago, research firm Gartner put the Internet of Things at the peak of its Hype Cycle of emerging technologies.

As more doubts about the Internet of Things productivity revolution are voiced, it is useful to recall what happened when Solow and Roach identified the original computer productivity paradox. For starters, it is important to note that business leaders largely ignored the productivity paradox, insisting that they were seeing improvements in the quality and speed of operations and decision-making. Investment in information and communications technology continued to grow, even in the absence of macroeconomic proof of its returns.

That turned out to be the right response. By the late 1990s, the economists Erik Brynjolfsson and Lorin Hitt had disproved the productivity paradox, uncovering problems in the way service-sector productivity was measured and, more important, noting that there was generally a long lag between technology investments and productivity gains.

Our own research at the time found a large jump in productivity in the late 1990s, driven largely by efficiencies made possible by earlier investments in information technology. These gains were visible in several sectors, including retail, wholesale trade, financial services, and the computer industry itself. The greatest productivity improvements were not the result of information technology on its own, but by its combination with process changes and organizational and managerial innovations.

Our latest research, The Internet of Things: Mapping the Value Beyond the Hype, indicates that a similar cycle could repeat itself. We predict that as the Internet of Things transforms factories, homes, and cities, it will yield greater economic value than even the hype suggests. By 2025, according to our estimates, the economic impact will reach $3.9-$11.1 trillion per year, equivalent to roughly 11% of world GDP. In the meantime, however, we are likely to see another productivity paradox; the gains from changes in the way businesses operate will take time to be detected at the macroeconomic level.

One major factor likely to delay the productivity payoff will be the need to achieve interoperability. Sensors on cars can deliver immediate gains by monitoring the engine, cutting maintenance costs, and extending the life of the vehicle. But even greater gains can be made by connecting the sensors to traffic monitoring systems, thereby cutting travel time for thousands of motorists, saving energy, and reducing pollution. However, this will first require auto manufacturers, transit operators, and engineers to collaborate on traffic-management technologies and protocols.

Indeed, we estimate that 40% of the potential economic value of the Internet of Things will depend on interoperability. Yet some of the basic building blocks for interoperability are still missing. Two-thirds of the things that could be connected do not use standard Internet Protocol networks.

Other barriers standing in the way of capturing the full potential of the Internet of Things include the need for privacy and security protections and long investment cycles in areas such as infrastructure, where it could take many years to retrofit legacy assets. The cybersecurity challenges are particularly vexing, as the Internet of Things increases the opportunities for attack and amplifies the consequences of any breach.

But, as in the 1980s, the biggest hurdles for achieving the full potential of the new technology will be organizational. Some of the productivity gains from the Internet of Things will result from the use of data to guide changes in processes and develop new business models. Today, little of the data being collected by the Internet of Things is being used, and it is being applied only in basic ways – detecting anomalies in the performance of machines, for example.

It could be a while before such data are routinely used to optimize processes, make predictions, or inform decision-making – the uses that lead to efficiencies and innovations. But it will happen. And, just as with the adoption of information technology, the first companies to master the Internet of Things are likely to lock in significant advantages, putting them far ahead of competitors by the time the significance of the change is obvious to everyone.

Editor's Note: This opinion originally appeared on Project Syndicate August 6, 2015.

Nearly 30 years ago, the economists Robert Solow and Stephen Roach caused a stir when they pointed out that, for all the billions of dollars being invested in information technology, there was no evidence of a payoff in productivity. Businesses were buying tens of millions of computers every year, and Microsoft had just gone public, netting Bill Gates his first billion. And yet, in what came to be known as the productivity paradox, national statistics showed that not only was productivity growth not accelerating; it was actually slowing down. “You can see the computer age everywhere,” quipped Solow, “but in the productivity statistics.”

Today, we seem to be at a similar historical moment with a new innovation: the much-hyped Internet of Things – the linking of machines and objects to digital networks. Sensors, tags, and other connected gadgets mean that the physical world can now be digitized, monitored, measured, and optimized. As with computers before, the possibilities seem endless, the predictions have been extravagant – and the data have yet to show a surge in productivity.

A year ago, research firm Gartner put the Internet of Things at the peak of its Hype Cycle of emerging technologies.

As more doubts about the Internet of Things productivity revolution are voiced, it is useful to recall what happened when Solow and Roach identified the original computer productivity paradox. For starters, it is important to note that business leaders largely ignored the productivity paradox, insisting that they were seeing improvements in the quality and speed of operations and decision-making. Investment in information and communications technology continued to grow, even in the absence of macroeconomic proof of its returns.

That turned out to be the right response. By the late 1990s, the economists Erik Brynjolfsson and Lorin Hitt had disproved the productivity paradox, uncovering problems in the way service-sector productivity was measured and, more important, noting that there was generally a long lag between technology investments and productivity gains.

Our own research at the time found a large jump in productivity in the late 1990s, driven largely by efficiencies made possible by earlier investments in information technology. These gains were visible in several sectors, including retail, wholesale trade, financial services, and the computer industry itself. The greatest productivity improvements were not the result of information technology on its own, but by its combination with process changes and organizational and managerial innovations.

Our latest research, The Internet of Things: Mapping the Value Beyond the Hype, indicates that a similar cycle could repeat itself. We predict that as the Internet of Things transforms factories, homes, and cities, it will yield greater economic value than even the hype suggests. By 2025, according to our estimates, the economic impact will reach $3.9-$11.1 trillion per year, equivalent to roughly 11% of world GDP. In the meantime, however, we are likely to see another productivity paradox; the gains from changes in the way businesses operate will take time to be detected at the macroeconomic level.

One major factor likely to delay the productivity payoff will be the need to achieve interoperability. Sensors on cars can deliver immediate gains by monitoring the engine, cutting maintenance costs, and extending the life of the vehicle. But even greater gains can be made by connecting the sensors to traffic monitoring systems, thereby cutting travel time for thousands of motorists, saving energy, and reducing pollution. However, this will first require auto manufacturers, transit operators, and engineers to collaborate on traffic-management technologies and protocols.

Indeed, we estimate that 40% of the potential economic value of the Internet of Things will depend on interoperability. Yet some of the basic building blocks for interoperability are still missing. Two-thirds of the things that could be connected do not use standard Internet Protocol networks.

Other barriers standing in the way of capturing the full potential of the Internet of Things include the need for privacy and security protections and long investment cycles in areas such as infrastructure, where it could take many years to retrofit legacy assets. The cybersecurity challenges are particularly vexing, as the Internet of Things increases the opportunities for attack and amplifies the consequences of any breach.

But, as in the 1980s, the biggest hurdles for achieving the full potential of the new technology will be organizational. Some of the productivity gains from the Internet of Things will result from the use of data to guide changes in processes and develop new business models. Today, little of the data being collected by the Internet of Things is being used, and it is being applied only in basic ways – detecting anomalies in the performance of machines, for example.

It could be a while before such data are routinely used to optimize processes, make predictions, or inform decision-making – the uses that lead to efficiencies and innovations. But it will happen. And, just as with the adoption of information technology, the first companies to master the Internet of Things are likely to lock in significant advantages, putting them far ahead of competitors by the time the significance of the change is obvious to everyone.

Editor's Note: This opinion originally appeared on Project Syndicate August 6, 2015.

Editor's Note: TechTakes is a new series that collects the diverse perspectives of scholars around the Brookings Institution on technology policy issues. This first post in the series features contributions from Scott Andes, Susan Hennessey, Adie Tomer, Walter Valdivia, Darrell M. West, and Niam Yaraghi on the Internet of Things.

In the coming years, the number of devices around the world connected to the Internet of Things (IoT) will grow rapidly. Sensors located in buildings, vehicles, appliances, and clothing will create enormous quantities of data for consumers, corporations, and governments to analyze. Maximizing the benefits of IoT will require thoughtful policies. Given that IoT policy cuts across many disciplines and levels of government, who should coordinate the development of new IoT platforms? How will we secure billions of connected devices from cyberattacks? Who will have access to the data created by these devices? Below, Brookings scholars contribute their individual perspectives on the policy challenges and opportunities associated with the Internet of Things.

The Internet of Things will be everywhere

Darrell M. West is vice president and director of Governance Studies and founding director of the Center for Technology Innovation.

Humans are lovable creatures, but prone to inefficiency, ineffectiveness, and distraction. They like to do other things when they are driving such as listening to music, talking on the phone, texting, or checking email. Judging from the frequency of accidents though, many individuals believe they are more effective at multi-tasking than is actually the case.

The reality of these all too human traits is encouraging a movement from communication between computers to communication between machines. Driverless cars soon will appear on the highways in large numbers, and not just as a demonstration project. Remote monitoring devices will transmit vital signs to health providers, who then can let people know if their blood pressure has spiked or heart rhythm has shifted in a dangerous direction. Sensors in appliances will let individuals know when they are running low on milk, bread, or cereal. Thermostats will adjust their energy settings to the times when people actually are in the house, thereby saving substantial amounts of money while also protecting natural resources.

With the coming rise of a 5G network, the Internet of Things will unleash high-speed devices and a fully connected society. Advanced digital devices will enable a wide range of new applications from energy and transportation to home security and healthcare. They will help humans manage the annoyances of daily lives such as traffic jams, not being able to find parking places, or keeping track of physical fitness. The widespread adoption of smart appliances, smart energy grids, resource management tools, and health sensors will improve how people connect with one another and their electronic devices. But they also will raise serious security, privacy, and policy issues.

Implications for surveillance

Susan Hennessey is Fellow in National Security in Governance Studies at the Brookings Institution. She is the Managing Editor of the Lawfare blog, which is devoted to sober and serious discussion of "Hard National Security Choices.”

As the debate over encryption and diminished law enforcement access to communications enters the public arena, some posit the growing Internet of Things as a solution to “Going Dark.” A recently released Harvard Berkman Center report, “Don’t Panic,” concludes in part that losses of communication content will be offset by the growth of IoT and networked sensors. It argues IoT provides “prime mechanisms for surveillance: alternative vectors for information-gathering that could more than fill many of the gaps left behind by sources that have gone dark – so much so that they raise troubling questions about how exposed to eavesdropping the general public is poised to become.”

Director of National Intelligence James Clapper agrees that IoT has some surveillance potential. He recently testified before Congress that “[i]n the future, intelligence services might use the IoT for identification, surveillance, monitoring, location tracking, and targeting for recruitment, or to gain access to networks or user credentials.”

But intelligence gathering in the Internet age is fundamentally about finding needles in haystacks – IoT is poised to add significantly more hay than needles. Law enforcement and the intelligence community will have to develop new methods to isolate and process the magnitude of information. And Congress and the courts will have to decide how laws should govern this type of access.

For now, the unanswered question remains: How many refrigerators does it take to catch a terrorist?

IoT governance

Scott Andes is a senior policy analyst and associate fellow at the Anne T. and Robert M. Bass Initiative on Innovation and Placemaking, a part of the Centennial Scholar Initiative at the Brookings Institution.

As with many new technology platforms, the Internet of Things is often approached as revolutionary, not evolutionary technology. The refrain is that some scientific Rubicon has been crossed and the impact of IoT will come soon regardless of public policy. Instead, the role of policymakers is to ensure this new technology is leveraged within public infrastructure and doesn’t adversely affect national security or aggravate inequality. While these goals are clearly important, they all assume technological advances of IoT are staunchly within the realm of the private sector and do not justify policy intervention. However, as with almost all new technologies that catch the public’s eye—robotics, clean energy, autonomous cars, etc.—hyperbolic news reporting overstates the market readiness of these technologies, further lowering the perceived need of policy support.

The problem with this perspective is twofold. First, greater scientific breakthroughs are still needed. The current rate of improvement in processing power and data storage, miniaturization of devices, and more energy efficient sensors only begin to scratch the surface of IoT’s full potential. Advances within next-generation computational power, autonomous devices, and interoperable systems still require scientific breakthroughs and are nowhere near deployment. Second, even if the necessary technological advancements of IoT have been met, it’s not clear the U.S. economy will be the prime recipient of its economic value. Nations that lead in advanced manufacturing, like Germany, may already be better poised to export IoT-enabled products. Policymakers in the United States should view technological advancements in IoT as a global economic race that can be won through sound science policies. These should include: accelerating basic engineering research; helping that research reach the market; supporting entrepreneurs’ access to capital; and training a science and engineering-ready workforce that can scale up new technologies.

IoT will democratize innovation

Walter D. Valdivia is a fellow in the Center for Technology Innovation at Brookings.

The Internet of Things could be a wonderful thing, but not in the way we imagine it.

Today, the debate is dominated by cheerleaders or worrywarts. But their perspectives are merely two sides of the same coin: technical questions about reliability of communications and operations, and questions about system security. Our public imagination about the future is being narrowly circumscribed by these questions. However, as the Internet of Things starts to become a thing—or multiples things, or a networked plurality—it is likely to intrude so intensely into our daily lives that alternative imaginations will emerge and will demand a hearing.

A compelling vision of the future is necessary to organize and coordinate the various market and political agents who will integrate IoT into society. Technological success is usually measured in terms set by the purveyor of that vision. Traditionally, this is a small group with a financial stake in technological development: the innovating industry. However, the intrusiveness and pervasiveness of the Internet of Things will prompt ordinary citizens to augment that vision. Citizen participation will deny any group a monopoly on that vision of the future. Such a development would be a true step in the direction of democratizing innovation. It could make IoT a wonderful thing indeed.

Applications of IoT for infrastructure

Adie Tomer is a fellow at the Brookings Institution Metropolitan Policy Program and a member of the Metropolitan Infrastructure Initiative.

The Internet of Things and the built environment are a natural fit. The built environment is essentially just a collection of physical objects—from sidewalks and streets to buildings and water pipes—that all need to be managed in some capacity. Today, we measure our shared use of those objects through antiquated analog or digital systems. Think of the electricity meter on a building, or a person manually counting pedestrians on a busy city street. Digital, Internet-connected sensors promise to modernize measurement, relaying a whole suit of indicators to centralized databases tweaked to make sense of such big data.

But let’s not fool ourselves. Simply outfitting cities and metro areas with more sensors won’t solve any of our pressing urban issues. Without governance frameworks to apply the data towards goals around transportation congestion, more efficient energy use, or reduced water waste, these sensors could be just another public investment that doesn’t lead to public benefit.

The real goal for IoT in the urban space, then, is to ensure our built environment supports broader economic, social, and environmental objectives. And that’s not a technology issue—that’s a question around leadership and agenda-setting.

Applications of IoT for health care

Niam Yaraghi is a fellow in the Brookings Institution's Center for Technology Innovation.

Health care is one of the most exciting application areas for IoT. Imagine that your Fitbit could determine if you fall, are seriously hurt, and need to be rushed to hospital. It automatically pings the closest ambulance and sends a brief summary of your medical status to the EMT personnel so that they can prepare for your emergency services even before they reach the scene. On the way, the ambulance will not need to use sirens to make way since the other autonomous vehicles have already received a notification about approaching ambulance and clear the way while the red lights automatically turn green. 

IoT will definitely improve the efficiency of health care services by reducing medical redundancies and errors. This dream will come true sooner than you think. However, if we do not appropriately address the privacy and security issues of healthcare data, then IoT can be our next nightmare. What if terrorist organizations (who are becoming increasingly technology savvy) find a way to hack into Fitbit and send wrong information to an EMT? Who owns our medical data? Can we prevent Fitbit from selling our health data to third parties? Given these concerns, I believe we should design a policy framework that encourages accountability and responsibility with regards to health data. The framework should precisely define who owns data; who can collect, store, mine and use it; and what penalties will be enforced if entities acted outside of this framework.

Executive Summary

Two-thirds of Americans have broadband Internet access in their homes.[1] But because of poor infrastructure or high prices, the remaining third of Americans do not. In some areas, broadband Internet is plainly unavailable because of inadequate infrastructure: More than 14 million Americans – approximately 5 percent of the total population – live in areas where terrestrial (as opposed to mobile) fixed broadband connectivity is unavailable.[2] The effects of insufficient infrastructure development have contributed to racial and cultural disparities in broadband access; for example, terrestrial broadband is available to only 10 percent of residents on tribal lands.[3]

Even where terrestrial broadband connectivity is available, however, the high price of broadband service can be prohibitive, especially to lower income Americans. While 93 percent of adults earning more than $75,000 per year are wired for broadband at home, the terrestrial broadband adoption rate is only 40 percent among adults earning less than $20,000 annually.[4] These costs also contribute to racial disparities; almost 70 percent of whites have adopted terrestrial broadband at home,   but only 59 percent of blacks and 49 percent of Hispanics have done the same.[5]

America's wireless infrastructure is better developed, but many Americans still lack wireless broadband coverage. According to a recent study, 3G wireless networks cover a good portion of the country, including 98 percent of the United States population,[6] but certain states have dramatically lower coverage rates than others. For example, only 71 percent of West Virginia's population is covered by a 3G network.[7] Wireless providers will likely use existing 3G infrastructure to enable the impending transition to 4G networks.[8] Unless wireless infrastructure expands quickly, those Americans that remain unconnected may be left behind.

Though America is responsible for the invention and development of Internet technology, the United States has fallen behind competing nations on a variety of important indicators, including broadband adoption rate and price. According to the Organization for Economic Cooperation and Development's survey of 31 developed nations, the United States is ranked fourteenth in broadband penetration rate (i.e. the number of subscribers per 100 inhabitants); only 27.1 percent of Americans have adopted wired broadband subscriptions, compared to 37.8 percent of residents of the Netherlands.[9]

America also trails in ensuring the affordability of broadband service. The average price for a medium-speed (2.5Mbps-10Mbps) Internet plan in America is the seventeenth lowest among its competitor nations. For a medium-speed plan, the average American must pay $38 per month, while an average subscriber in Japan (ranked first) pays only $22 for a connection of the same quality.[10]

The National Broadband Plan (NBP), drafted by the Federal Communication Commission and released in 2010, seeks to provide all Americans with affordable broadband Internet access.[11] Doing so will not be cheap; analysts project that developing the infrastructure necessary for full broadband penetration will require $24 billion in subsidies and spending.[12] President Obama’s stimulus package has already set aside $4.9 billion to develop broadband infrastructure,[13] and some small ongoing federal programs receive an annual appropriation to promote broadband penetration.[14] However, these funding streams will only account for one-third of the $24 billion necessary to achieve the FCC's goal of full broadband penetration.[15] Moreover, developing infrastructure alone is not enough; many low-income Americans are unable to afford Internet access, even if it is offered in their locality.

To close this funding gap and to make broadband more accessible, the National Broadband Plan proposes to transform the Universal Service Fund – a subsidy program that spends $8.7 billion every year to develop infrastructure and improve affordability for telephone service – into a program that would do the same for broadband Internet.

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