Machine learning will be the biggest and fastest-growing trend in technology again in 2019, threatening every laggard organization and offering rich prizes for the leaders, big and small. Read to discover what our robot, Athena, has found on the future of machines and act accordingly, or click any link to read the evidence she found in 3,270 reports, articles and presentations from around the web.
If you are new to foresight, we recommend you view this slide presentation first.
Quick Summary
The new summary visuals below are completely machine produced, showing our robot's global analysis of:
- top driving forces
- causations
- potential solutions
- radars of the key topics underlying these forces
- cloud representations of the organizations and sectors driving or influencing change.
Driving Forces (Beta)
Causations (Beta)
Who and what are causing these changes:
Potential solutions
What are others doing to seize opportunities or minimise risks?
You can learn more, click through to more detail on 'machine' futures and run collaborative, digital workshops on these findings at /home.
More analysis
This summary analysis draws from our robot's below visualizations of the future of machines and draws from different vantage points to tell the story of what's emerging just like a GPS system.
Cloud: The range of opportunity for machine learning (ML) and improvement is enormous with many incumbents and start-ups finding new ways to increase machines' efficiency, effectiveness, predict time-to-failure and gather new intelligence about performance and customer usage. ML will permeate everyone's lives in the years to come.Systems map: The systems map clearly shows that the next five years are expected to deliver tremendous advances in artificial intelligence, algorithms, robots, use of big data, software agents and the IoT.
Radar chart: On the radar are the use of ML in the vehicles, railways, food, digital money, manufacturing and data analysis and far greater prediction and automatic decision-making replacing many human rote jobs but creating many new ones too.
Graph-It: By 2025, ML will be advancing fast in healthcare and employing the IoT far beyond anything we imagine today.
Spline chart: The two Spline Charts we have provided this week show just how ML has exploded on to the scene in the last three years. From a background, specialism, ML is now expected to be a megatrend for the next ten years and possibly beyond.
Year-on-Year: Interest in improving the use of machines can again be seen in how sectors are now waking up to both the threat and the opportunity. In 2017, interest was medium with automotive, IT and Financial Services leading the charge but last year this moved up to high with most sectors now looking to gain advantage. Only the water sector is a singleton at the back of the pack. 2019 shows the same early pattern with interest now very high in all sectors except water.
Sentiment: Positive sentiments far outweigh negative feelings with the potential for huge future innovation and earnings driving the sectors' interest. But concerns are also being voice about the risk of increased cyberattacks and potential disruptions to travel, payments and stealing, or misuse of, customer data.
Pie Charts: The growing increase in machine learning is tempered by the fact that we are perhaps a generation away from reaching a tipping point in the public's acceptance of these changes as the new normal. And, this is also reflected in that 61.0% of initiatives are still in early stage. However, enough traction has already been achieved for the markets to believe that opportunities abound for making additional billions and even trillions from machines.
Heat map: The Heat Map shows the current patchiness of efforts however, with China, the US and the UK leading ML developments and IT the prime sector focus right now for most countries. We expect the Heat Map to become far more populated and with far more High spots as the next decade unfolds. The cross-impact chart also indicates just how many gaps there are for entrepreneurs to exploit right now before others gain a dominant hold.
Emergent drivers: Right now, the emerging drivers chart below shows machines as in the Differentiating Wave – a wave that offers high differentiation from slower players.
Geography: Geographically, the top countries for machine exploitation and future significant earnings are China, the U.S., India, Ireland, Canada, Australia and South Korea.
Others will have to move fast to overhaul them.
SWOT: Lastly, the SWOT chart shows many opportunities for machine futures with relatively few weaknesses and threats too. Time to plunge in before it's too late!
Visuals
For more detailed explanation of the graphics below please click here. All outlooks based on 2025 unless otherwise stated.
Cloud
The range of opportunity for machine learning (ML) and improvement is enormous with many incumbents and start-ups finding new ways to increase machines' efficiency, effectiveness, predict time-to-failure and gather new intelligence about performance and customer usage. ML will permeate everyone's lives in the years to come.
System map
The systems map clearly shows that the next five years are expected to deliver tremendous advances in artificial intelligence, algorithms, robots, use of big data, software agents and the IoT.
Radar chart
On the radar are the use of ML in the vehicles, railways, food, digital money, manufacturing and data analysis and far greater prediction and automatic decision-making replacing many human rote jobs but creating many new ones too.
Graph-It
By 2025, ML will be advancing fast in healthcare and employing the IoT far beyond anything we imagine today.
Spline
The two Spline Charts we have provided this week show just how ML has exploded on to the scene in the last three years. From a background, specialism, ML is now expected to be a megatrend for the next ten years and possibly beyond.
Trend Wave - Today
Trend Wave – 3 years ago
Year-On-Year
Interest in improving the use of machines can again be seen in how sectors are now waking up to both the threat and the opportunity. In 2017, interest was medium with automotive, IT and Financial Services leading the charge but last year this moved up to high with most sectors now looking to gain advantage. Only the water sector is a singleton at the back of the pack.
2019 shows the same early pattern with interest now very high in all sectors except water.
Sentiment
Positive sentiments far outweigh negative feelings with the potential for huge future innovation and earnings driving the sectors' interest. But concerns are also being voice about the risk of increased cyberattacks and potential disruptions to travel, payments and stealing, or misuse of, customer data.
Pie Charts
The growing increase in machine learning is tempered by the fact that we are perhaps a generation away from reaching a tipping point in the public's acceptance of these changes as the new normal. And, this is also reflected in that 61.0% of initiatives are still in early stage. However, enough traction has already been achieved for the markets to believe that opportunities abound for making additional billions and even trillions from machines.
Heat map
The Heat Map shows the current patchiness of efforts however, with China, the US and the UK leading ML developments and IT the prime sector focus right now for most countries. We expect the Heat Map to become far more populated and with far more High spots as the next decade unfolds.
The cross-impact chart also indicates just how many gaps there are for entrepreneurs to exploit right now before others gain a dominant hold.
Emergent drivers
Right now, the emerging drivers chart below shows machines as in the Differentiating Wave – a wave that offers high differentiation from slower players.
Geography
Geographically, the top countries for machine exploitation and future significant earnings are China, the U.S., India, Ireland, Canada, Australia and South Korea.
Others will have to move fast to overhaul them.
SWOT
Lastly, the SWOT chart shows many opportunities for machine futures with relatively few weaknesses and threats too. Time to plunge in before it's too late!
Evidence
Search term: “wearable*”. Use this search term to explore our database for more knowledge and wisdom and latest data and information on the topic.
algorithm
- Continued improvement of the algorithms that recognize and convert speech into machine
- data will solidify this trend in 2019.
- Machine learning and algorithms in the workplace could create 58 million net new jobs by 2022.
- Fed with targeted insights from sophisticated data collection and correlation algorithms, aided by the power of machine learning and predictive analytics, 2019 will see IT orchestration become a critical component of next-gen monitoring systems for New IT architectures.
- Over the past few years, as machine learning algorithms have become more sophisticated, some tech pros have harbored a growing worry that software will take over the bulk of coding work, putting a sizable percentage of developers out of business.
- More than 8 million driverless cars will hit public roads by 2025, according to research firm ABI, and they will all have something in common: sensors, powerful PCs, and machine learning algorithms.
- Machine learning algorithms will continue to improve using behavior-based scoring, further improving the user experience.
- By 2021, machine learning algorithms that increase efficiency across real-time bidding networks will drive an additional $42 billion in annual spend.
- Patterns in physiological responses, measured continuously and over long terms analysed by machine learning algorithms might become better indicators of drug efficacy than traditional analytical techniques.
- AWS will launch a marketplace for machine-learning algorithms, something Google did earlier this year and something that Seattle start-up Algorithmia has been doing for a few years now.
- In 2019, there will be a boom of AI, Deep Learning, and Machine Learning technologies in business apps.
- Meaningful progress will be made in 2019 in specific areas around Machine and Deep Learning which will help deliver advanced analytics capabilities such as object recognition.
- The global Machine Learning as a Service market is valued at million USD in 2018 and is expected to reach million USD by the end of 2024, growing at a CAGR of between 2019 and 2024.
- A top tech trend of 2019 will be the impact machine learning / AI on the quality of software.
- Improved Machine learning will enable chatbot systems to develop much more detailed, human-like personas.
- The number of retailers using machine learning in demand forecasting is projected to more than triple between now and 2023, with associated service revenue reaching $3 billion by 2023, an increase from $760 million this year.
- In 2019, Machine Learning and Artificial Intelligence will be embedded in the business platform creating and enabling smart business operations.
- Machine Learning could be responsible for cumulative investments of $58 billion by the end of 2021 and the rapid adoption of AI across global businesses will help the AI market reach about $13 trillion by 2030.
- The Money-Handling Machine Market Report delivers opportunities, current situation, restraints, drivers and the growth forecasts of the market by 2026.
- Asia-Pacific will continue to be the largest global machine vision market globally, generating 38.4 percent of the revenues by 2022: Cognex Corporation, Basler, and Keyence will dominate the market.
- Machine learning technology of AI dominated the market globally in 2018 and is expected to maintain its lead in 2025.
- In the coming years there is an increasing demand for centerless grinding machine in the regions of Japan and Europe that is expected to drive the market for more advanced centerless grinding machine.
- In the coming years there is an increasing demand for croissant forming machine in the regions of North America and Europe that is expected to drive the market for more advanced croissant forming machine.
- Irish Research and Markets sees machine learning as the core technology that will gobble up US$6 billion of the market pie.
- In 2016, the machine learning segment dominated the market, in term of revenue, and is expected to maintain this trend in the coming years, owing to an increase in demand for artificial intelligence industry solutions.
- Capture the market for EV and industrial-use - World market is expected to grow by more than 30% through 2025, with the JPY3 tn market - Demand for machine tools and automobiles increased.
- Intel's processors currently dominate the market for machine learning inference, which will be worth $11.8 billion by 2021.
- In 2019, Machine Learning and Artificial Intelligence will be embedded in the business platform creating and enabling smart business operations.
- In 2019, there is going to be a convergence of Artificial Intelligence, Machine Learning, and Deep Learning in business applications.
- Artificial Intelligence and machine learning will see major breakthroughs in 2019, and the UAE's government and industry verticals are ideally-positioned to encourage and adopt these to drive digital transformation.
- Looking to 2019, the provider of supply chain planning software predicts greater uptake of artificial intelligence, machine learning, cloud IT solutions, and wireless tracking systems.
- Automation often considered to be digital transformation, is used to improve the efficiency of processes across an organization, while investment in artificial intelligence and machine learning is expected to reach more than $57 billion by 2021.
- The application of artificial intelligence and machine learning will solve business problems and bring new ideas to life to continue into 2019 as companies strive to get the most business value and competitive advantage from their existing data.
- As the volume of data increases, proper data management processes will become more vital than ever for organizations today, as will automation and advanced analytics capabilities, such as AI and machine learning.
- Meaningful progress will be made in 2019 in specific areas around Machine and Deep Learning which will help deliver advanced analytics capabilities such as object recognition.
- Beyond just automating manual activities, RPA could substantially change the way that brands serve their customers through the deployment of chatbots with cognitive capabilities such as machine learning, speech recognition and natural language processing.
- In 2019, sensors will continue to proliferate as costs decline and performance capabilities improve, fuelling ever greater machine intelligence and enabling autonomous systems.
- In 2019, Machine Learning and Artificial Intelligence will be embedded in the business platform creating and enabling smart business operations.
- In 2019, Forrester predicts machine learning services and deep learning platforms will mature enough to accelerate self-training models.
- In 2019 Artificial Intelligence and Machine Learning will nearly reach its full potential by connecting and processing data faster over a global distribution of edge computing platforms.
- Gartner expects by 2020, augmented analytics will become the dominant driver of new business intelligence and analytics purchases, data science and machine learning platforms and embedded analytics.
- By 2022, 75% of new end user solutions that use AI and machine learning will be built on commercial solutions, rather than open source platforms.
- Machine learning will be the biggest and fastest-growing trend in technology again in 2019.
- Advancements in technologies such as AI, machine learning and advanced analytics is expected to foster the growth opportunities for predictive analytics market in coming years.
- Technologies supporting the data collection, processing, and analytics integrating with machine learning solutions will become essential for all enterprises by 2020.
- Huawei Technology Co., Intel Corporation, Cisco System Incorporation, International Business Machine Corporation and Fujitsu are some of the key suppliers of intelligent stadiums around the world< These actors are aggressively focusing on innovation, as well as inclusion of advanced technologies.
- By 2025, experts expect the global CNC machine market to grow to $100.9 billion in value, registering an annual growth rate of 6.8%.
- Research has found that AI could double annual economic growth rates in 2035 by changing the nature of work and creating a new relationship between man and machine.
- AI could double annual economic growth rates 2035, changing the nature of work and creating a new relationship between man and machine.
- The value of the machine learning market is expected to reach USD23.46 Bn by 2023, expanding at a compound annual growth rate of 42.6% during 2018-2023.
- China, the US's major competitor in the supercomputing industry, is also reportedly working on its own machine, which could arrive in 2021.
- Research has found that AI could double annual economic growth rates in 2035 by changing the nature of work and creating a new relationship between man and machine.
- As vehicles become more connected and autonomous, eventually sold without a steering wheel altogether, machine sensing like Moodify's will become critical in sustaining passenger well-being.
- The fastest autonomous drone will go head-to-head against the 2019 Allianz World Champion from DRL's human-piloted drone series - a showdown of human vs. machine in real-life, physical sports.
- In the coming years there is an increasing demand for croissant forming machine in the regions of North America and Europe that is expected to drive the market for more advanced croissant forming machine.
- 2019 will be the year that machine learning in supply chains accelerates.
- Technologies supporting the data collection, processing, and analytics integrating with machine learning solutions will become essential for all enterprises by 2020.
- The application of AI, Machine Learning and Natural Language processing in contextual advertising will be a significant trend in 2019.
- Beyond just automating manual activities, RPA could substantially change the way that brands serve their customers through the deployment of chatbots with cognitive capabilities such as machine learning, speech recognition and natural language processing.
- Everyday life will continue to be subtly optimized through multiple technologies build through Machine Learning and Natural Language Processing.
Potential Responses
- Use the findings of this Trend Alert to determine and rank your options and choose how you can respond by examining your Options either on your own publicly, or collaboratively if our private client.
Contact us if you would like some free training with this Options method.
Custom Services
We can produce equivalent reports to this one on any topic for just £1,000 (Plus VAT in Europe). Market rates are usually at least five to ten times this price. Or, you can subscribe to our service and make these yourself at will and use the forecasts in private, collaborative workshops to develop your strategic responses in hours rather than the weeks and months of traditional foresight projects using these methods below:
Options | Gapfinder | Causal Layered Analysis | Scenarios | Three Horizons
Do contact us to see how we can help you track emerging uncertainty issues and developments as they are announced or reported.
Sources
Athena used the sources below as the top ones to create this report and determined which embedded forecasts are included in this Trend Alert. She found 3,270 forecasts in seconds on 8th May 2019 to allow us to publish this report in less than two hours. She can turn these into PowerPoint slides and Audio files in minutes too as you wish, or we can prepare a full customized and professionally written brief for you to order covering all these forecasts.
Athena
Athena does show duplicates to aid your understanding of themes as well as contradictory forecasts. She may also show near-duplicates. You can speed read past the duplicates and near-duplicates if you wish, though the latter may show additional information. You can use the contradictory, and likely uncertain forecasts she finds to imagine different scenarios. The future is unpredictable, but we can examine the possibilities and choose our preferable future from the choices she presents.
Athena is apolitical. She will report forecasts from different viewpoints however distasteful that might be to our own values. Wearing rose-colored glasses is not her purpose; reporting potential futures is. So, we recommend you check her veracity before responding to her extracted forecasts.
Just like humans, Athena can be fallible. Do recognize that you and your associates are biased too. But whereas you tire, make mistakes and only recognize what interests you, she does not. She might miss or misinterpret as you do, but with far less frequency and she'll take uncomfortable truths and alternative ideas in her stride. But, please let us know if you feel her bias can be reduced. We want to do our best for you. And, as with any research, you should check and triangulate her findings for yourself.
Keep up to date
You can stay bang up to date on this topic or choose from our many automatic reports to determine what's next in seconds.
Global goals | Social changes | Sector prospects | G20 watch | Key Organizations
You can also ask us to set-up private topics for you (clients only) to achieve the same thing as this Trend Alert for your associates or set up email subscriptions (Registration required) on your favorite subjects.