Trending December 2023 # Analytics Insight Predicts Disruptive Technologies Market To Reach Us$1.9 Billion By 2023 # Suggested January 2024 # Top 18 Popular

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Analytics Insight has published a new market research report “Reinventing Businesses with Disruptive Technologies – A Comprehensive report covering six disruptive technologies with their Revenue, Forecast, Top Trends and Future (2023-2023)”. The report includes a detailed analysis of Artificial Intelligence (AI), Robotics, Big Data, Internet of Things (IoT), Cybersecurity and Augmented, and Virtual Reality (AR/VR) markets. According to the analysis, the market revenues of six disruptive technologies is expected to grow from US$1091.45 million in 2023 to US$1893.62 million in 2023, with a CAGR of 11.6%, in which AI accounts for 3.9%; Robotics 4.4%; Big Data 16.5%; Cybersecurity 14.1%; IoT 59.9%; and AR/VR 1.3%. The major driving force of such progress is widespread application of these technologies across various sectors and regions.  

North America is expected to lead the AI, Big Data Analytics, Cybersecurity, AR-VR, and IoT market

The global market for AI is forecast to grow at a CAGR of 29% from US$42.8 billion in 2023 to US$152.9 billion in 2023. North America is expected to lead the market with the largest share followed by the Asia Pacific, European region, and the rest of the world. The global market of Big Data is forecast to grow at a CAGR of 10.9% from US$179.6 billion in 2023 to US$301.5 billion in 2023. North America with the largest share is the leading region for the Big Data market worldwide, followed by the European region, Asia Pacific, and RoW. The global market of Robotics is forecast to grow at a CAGR of 10.9% from US$47.8 billion in 2023 to US$80.2 billion in 2023. Unlike, AI and Big Data, the Asia Pacific with the largest share is expected to lead the worldwide market followed by Europe, and North America. The global market of Cybersecurity is forecast to grow at a CAGR of 8.1% from US$153.9 billion in 2023 to US$227.4 billion in 2023. Where North America is expected to lead with the largest market share, Europe, Asia Pacific, and RoW are more likely to grab the following positions. The global AR and VR market is projected to increase from US$13.6 billion in 2023 to US$51.2 billion in 2023. Like, Cybersecurity, the AR/-VR market is expected to see the emergence of North America as a leader, further followed by the European and Asia market. The global market for IoT is forecast to grow at CAGR of 10.6% and is calculated to grow from US$653.6 billion in 2023 to US$1080.4 billion in 2023. North America and Europe are among the top two regions proliferating the market with the largest market shares among others.  

BFSI is one of the fastest-growing industries across AI and Big Data Market

Evaluating sector-wise market, Analytics Insight observed that the BFSI sector with the largest market share is expected to lead the AI market, followed by Healthcare, Telecommunications and IT, Transport and Logistics, Retail, Media and Entertainment, and Manufacturing. Whereas across Big Data market, Telecommunications and IT and BFSI industry stand at the top two places with the largest market shares. The growth of Big Data is further driven by Manufacturing, Healthcare and Lifesciences, Transportation, Government and Defense, Retail, and Media and Entertainment sectors. Across the Robotics market, while the automotive is the largest sector by the end-user in Industrial Robots, further followed by Electronics, Metals, and Machinery, and Food and Beverage industry, by end-user in Service Robots, Logistics accounts for the largest market share among Healthcare and Military and Defense sectors. Across the Cybersecurity market, BFSI with the largest market share is leading, followed by IT and Telecom, Government and Defense, Healthcare, Manufacturing, and Retail sectors. Industry-wise, the Gaming market for AR-VR is forecast to experience massive growth, followed by Entertainment and Media, Aerospace and Defense sector, Healthcare, Manufacturing, and Retail. The data for industry-wide adoption and share of the IoT market, depicts that the Consumer Electronics industry is expected to lead, followed by Manufacturing and Retail, Transportation, Healthcare, Agriculture, and others.  

Industrial Robots showcase a brighter future than Service Robots

By application, the AI market is bifurcated into Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and others, where Machine Learning is expected to grow with the largest market share between 2023 to 2023. Sequentially, Deep Learning, Computer Vision, and NLP are also leading the market with significant projected growth. Across Big Data market, Analytics Applications and Performance applications are more likely to lead, outperforming other contributors including CPM Suites, BI Platforms, and Advanced Analytics applications. Moreover, industrial robots are expected to see considerable growth with the largest market share in comparison to service robots across the Robotics market. The cybersecurity market is expected to witness the growth of Enterprise Security application with the largest market share, followed by Endpoint Security, Cloud Security, Network Security, and Application Security. Furthermore, as per component variation, the AR-VR market is more likely to witness an upsurge in software-based adoption as compared to hardware-based adoption. Under applications, PaaS or Platform applications and services are expected to lead the IoT market, followed by Professional services and Connectivity applications.   For enquires, send an email to  

About Analytics Insight 

Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by AI, big data and analytics companies across the globe. The Analytics Insight Magazine features opinions and views from top leaders and executives in the industry who share their journey, experiences, success stories, and knowledge to grow profitable businesses.

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Disruptive Technologies That Will Cause Disruption To Your Business

One or more of these technologies might already be interfering with your business process flow, giving you a tough time. Digital Disruption is an innovation that creates obstacles in continuing your business the old way. You have to check for possible digital disruptions and be ready for them before they eat into your profits. The article lists the top 5 digital disruptions & technologies that have already started to affect businesses. While you are at it, do check out the link towards the end of the article for an assessment of your business readiness for digital disruptions.

Disruptive Technologies

Technology is called disruptive when it changes the way industries and consumers operate. It can be beneficial for businesses as it can increase their customer base. On the other hand, it can be bad too as it can cause job loss.

We have explained some disruptive technologies below.

Cloud Computing

Anything off-premises and always accessible from anywhere in the world is the simplest definition of cloud. The early adaptions of cloud computing are email and messaging. In the case of email, it is not just a disruption but a disruptive technology that changed the way people interact. Emails removed snail mail (handwritten letters) from the scene of business communication. That is a different story so I won’t delve into it in this article.

Going by the above definition, cloud computing is anything off-premises. Generally, there are cloud service providers who provide all types of services – backup, storage, software development, business communications – including websites and customized email IDs, data processing, and more. All this has affected the businesses that serviced their clients on-site. The cloud is much mature, bigger, and cheaper than these individual entities providing on-site services. While most of the businesses providing on-site storage, backup, etc. have gone out of business, others have evolved into clouds themselves so that they can keep up with the cloud computing disruption.

Same way, programmers and game developers need not arrange all equipment related to software development, testing, and distribution. The cloud, like Azure, provides the perfect platform for software development, testing, and distribution. Service providers in this area – who were providing assisting technologies for software development and distribution – had to change their approach to survive in the business sector.

Another example is Google Apps digital disruption to hosting service providers. With Google offering cloud solutions for business communication, hosting service providers are suffering as a majority of businesses moved to these cloud-based offerings for their ease of accessibility and use. Google Apps for business not only offers to host but makes it easy for non-IT admins to maintain email IDs, communications and collaborations, etc. at a cheaper price.

There are endless possibilities with cloud computing with some of the other startups providing something new frequently, the shape of the IT industry has already changed and will keep on changing. You will have to check out what are the possibilities, how they can affect you, and accordingly, prepare to counter the disruption. You can also make use of cloud services and become a disruptor instead.

Mobile Computing

This is related to smartphones and mobile computing devices that made BYOD (Bring Your Own Device) possible. Employees prefer companies that allow a single device for both office and personal use – as long as data is not in danger.

Not only BYOD but mobile computing has also changed the way people work. With mobile computing as a disruptor, employees can work from anywhere – without having to drive to the office every day. Many companies provide the facility of telecommuting, thereby saving the time otherwise spent wading through the traffic to reach the office.

With the power these mobile computing devices have or will have by 2025, it is expected that most of the business processes will soon turn into mobile apps that can be used anywhere. Already many businesses have gone mobile-only. For example, Snapdeal was an eCommerce website doing well. But when its competitors started going mobile-only, it too had to change its method of functioning.

The focus is on businesses providing mobile access to their customers so that they generate more profits. There is no more need to visit a brick-and-mortar store or to boot up a computer. You can simply use your smartphone app to buy things and services.

We cannot leave out Internet access when talking about mobile computing. It is necessary for mobile computing – for connecting to some business or to connect to your office via VPN remotely. By 2025, it is expected that more than 3 billion people will have access to mobile computing. That may largely change the way businesses are conducted these days. The Snapdeal example could just be a beginning. If you have a brick-and-mortar store somewhere, you will also need an eCommerce website and/or a mobile app that people will prefer over visiting your store physically.

Machine Learning and Automation

With computers becoming smarter, very soon we might see a huge drop in manual operators. It is assumed that Machine Learning may replace some 140 million full-time workers by 2025 when it comes to critical decision-making processes. If your business is related to consultancy, for example, you may have to adapt to machine learning packages so that you are not out of the race in the coming few years. There are many other possibilities that I am not able to think of, at the moment. Check out how Machine Learning and AI can affect your business by assessing what all it does and how it can be a disruption to your business. Then formulate a plan to counter or adapt it to your business.

Big Data

Big Data is another thing that can prove to be a disruption to businesses in the field of not only Analytics and Consultation but also many others. With the amount of data being stored on and off-premises, the methods of collecting and sorting data, and the methods of processing data to achieve results quickly, the process of decision-making will change significantly.

Combined with cloud computing and machine learning, Big Data can be a huge blow to many sectors including but not limited to small-scale storage providers, business consultancies, and analytics.

Internet of Things (IoT as disruption)

Internet Of Things needs no introduction. While some countries are yet to adopt this technology that allows you to control devices remotely, many countries and societies are already learning to harness the power of IoT.

The simple thing it provides is remote monitoring and control of the device. In the process, it provides gazillions of data that can be stored to study the general practices of users and to provide better, interactive devices. A smart light bulb is any day better than a regular light bulb. The smart light bulb can not only operate on its own or by remote apps, it can also collect data that you can use to figure out and reduce your electricity usage. It is just one example. Imagine IoT technology coming to the kind of things your business is engaged in. Would it not be proper for you to start working on smart devices instead of waiting until some other company gives you a jolt?

The above are the top 5 technologies that I see as digital disruptions to any business – irrespective of the markets they engage. There may be several more – like new energy storage devices that store energy for later use, 3D printing and the design of material with superior characteristics are some of the other disruptive technologies. Think of these disruptions and how they can affect your business in the future. Plan accordingly so that you are not left behind when the time comes.

Is Zoom a disruptive technology?

Disruptive technology can be both good and bad. If we talk about Zoom, it has brought an affordable, reliable, and user-friendly solution for video conferencing. Hence, it has disrupted the video conferencing industry.

Is Facebook disruptive?

Yes, Facebook is also considered a disruptive technology. This is because it has disrupted the way of communication. Today, you can use Facebook to promote your business. By doing this, you can reach your consumers easily. Also, it helps businesses expand their customer base. Hence, in this way, it has disrupted the businesses.

That’s it.

Read next: What is Web3 technology used for?

Healthcare Analytics: Importance & Market Landscape In 2023

Healthcare analytics software helps deliver clinical insights into patient care and personalize medicines while reducing operating costs for healthcare providers, in addition to other use cases. There are hundreds of companies offering analytics products and solutions for healthcare organizations. It is best to start with a definition and categorization of these companies.

What exactly do healthcare analytics vendors do?

Healthcare is data-rich. Diverse data types include:

patient clinical data including lab results, diagnosis

claims and cost data

R&D results including published papers, clinical trial results

other data on patient behavior

Systems provided by healthcare analytics vendors allow companies to access numerous data sources within healthcare providers’ own records in different systems. Additionally, they can provide access to data from other healthcare providers and clinical studies.

With this abundance of data, it is difficult to consider healthcare analytics without artificial intelligence. Natural language processing (NLP) capabilities allow companies to analyze diagnostic text, published research, and other textual data. Image processing capabilities allow analyzing outputs of various medical imaging techniques.

Understand healthcare analytics vendor landscape in 2 minutes

To choose a vendor in this area, you must understand the vendor landscape and compare vendors to choose the most suitable vendor for your business. Evaluating vendors and making the right vendor assessment can be a time-consuming effort.

There are the 4 main types of vendors in this industry:

1. Established technology providers

Companies like IBM or SAS are the oldest group of companies offering healthcare analytics services. Founded long before the dot-com bubble, these companies have established relations with a large number of Fortune 500 companies. They leverage these relationships to offer healthcare analytics services.

Just because they are older companies does not mean that they do not have the leading-edge solutions. IBM has been instrumental in making AI a household term thanks to Watson and has been pioneering the use of Watson in healthcare.

The fact that your company potentially already works with these vendors also makes it easy to adapt their solutions.

2. AI vendors with healthcare analytics offering

Founded in the 2000s, vendors like Ayasdi and Digital Reasoning Systems are focused on developing AI services to transform industries like healthcare, financial services, retail. They are generally larger and more established than purely healthcare-focused companies.

3. Purely healthcare analytics focused vendors

Founded in the 2000s and 2010s, this group includes both large and small companies. For example, Linguamatics, one of the largest healthcare analytics-focused vendors, boasts that its product is used by almost every global pharma company.

4. IoT-based solutions that facilitate Healthcare Analytics

Though analytics discipline for IoT data is mostly referred to as IoT analytics or edge analytics, IoT devices are great enablers for healthcare analytics as well. Devices such as wearables or IoT-connected inhalers can help healthcare providers acquire required data for monitoring, analytics, and making a data-driven decision.

Why is it critical to choose the right healthcare analytics system?

Healthcare data is unique and difficult to measure. Finding the optimal vendor can make the difference between a system of limited use and a transformative one. The healthcare analytics vendor will need to tackle these issues:

Data federation issues:

Data silos: From EMR to different departmental software, healthcare data tends to be stored in silos.

Privacy issues: Complex federal and state-level regulation determines how private data is handled.

Data quality issues:

Unrecorded data: Difficulty of inputting structured data into EMR is leading practioners to leave important data out of the system.

Inconsistent or variable definitions: For example, diagnostic criteria changes over time as physicians gain a better understanding of patient conditions. Diffusion of new definitions takes time and happens in irregular patterns

Analytics challenges

Complexity: We still don’t know exactly how the body or the mind works. Complexity of health is beyond complexity of systems like transportation, manufacturing or finance

Format issues: From scanned paper to videos, data comes in numerous formats

How can companies build custom healthcare analytics solutions?

Healthcare has unique challenges and not every healthcare analytics use case can be addressed effectively with off-the-shelf solutions. Feel free to read more about developing custom AI solutions for your company’s needs. For example, healthcare companies can run data science competitions to build effective solutions at low cost for their specific problems. If you want to learn more about custom AI solutions, feel free to read our whitepaper on the topic or reach us to identify custom AI, solution partner:

You can check our list of medical data annotation tools to find the option that best suits your medical computer vision project needs.

If you are ready to invest in off-the-shelf healthcare analytics solutions, we can also help you:



Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.





10 Industries Redefined By Big Data Analytics

It has been a widely acknowledged fact that big data has become a big game changer in most of the modern industries over the last few years. As big data continues to permeate our day-to-day lives the number of different industries that are adopting big data continues to increase. It is well said that when new technologies become cheaper and easier to use, they have the potential to transform industries. That is exactly what is happening with big data right now. Here are 10 Industries redefined the most by big data analytics-  

Sports Hospitality Government and Public Sector Services

Analytics, data science, and big data have helped a number of cities to pilot the smart cities initiative where data collection, analytics and the IoT combine to create joined-up public services and utilities spanning the entire city. For example, a sensor network has been rolled out across all 80 of the council’s neighborhood recycling centres to help streamline collection services, so wagons can prioritize the fullest recycling centres and skip those with almost nothing in them.  


The costs of extracting oil and gas are rising, and the turbulent state of international politics adds to the difficulties of exploration and drilling for new reserves. The energy industry Royal Dutch Shell, for example, has been developing the “data-driven oilfield” in an attempt to bring down the cost of drilling for oil. And on a smaller but no less important scale, data and the Internet of Things (IoT) is disrupting the way we use energy in our homes. The rise of “smart homes” includes technology like Google’s Nest thermostat, which helps make homes more comfortable and cut down on energy wastage.  

Agriculture and Farming

The power of AI has embraced even traditional industries like Agriculture and Farming. Big data practices have been adopted by the US agricultural manufacturer John Deere which has launched several data-enabled services that have led farmers to benefit from the real-time monitoring of data collected from its thousands of users worldwide.  


Education sector generates massive data through courseware and learning methodologies. Important insights can identify better teaching strategies, highlight areas where students may not be learning efficiently, and transform how the education is delivered. Increasingly educational establishments have been putting data into use for everything from planning school bus routes to improving classroom cleanliness.  

Banking and Securities

Securities Exchange Commission (SEC) has deployed big data to track and monitor the movements in the financial market. Big data and analytics with network analytics and natural language processors is used by the stock exchanges to catch illegal trade practices in the stock market. Retail traders, Big banks, hedge funds and other so-called ‘big boys’ in the financial markets use big data for trade analytics used in high-frequency trading, pre-trade decision-support analytics, sentiment measurement, predictive analytics, etc. This industry also heavily relies on big data for risk analytics including; anti-money laundering, demand enterprise risk management, “Know Your Customer”, and fraud mitigation.  

Entertainment, Communications and the Media

The on-demand music service, Spotify uses Hadoop big data analytics to collate data from its millions of users across the world. This data is used and analyzed to give customized music recommendations to its individual users. Over the top media, services have relied big on big data to offer customized content offerings to its users. An important move in the growing competitive market.  

Retail and Wholesale Trade

Big data has in a big way impacted the traditional brick and mortar retailers and wholesalers to current day e-commerce traders. The retail and whole industry has gathered a lot of data over time which is derived from POS scanners, RFID, customer loyalty cards, store inventory, local demographics, etc. Big data is applicable to the retail and wholesale industry to mitigate fraud, offer customized products to the end user thereby improving the user experience.  


Big data analytics finds huge application to the transportation industry. Governments of different countries use big data to control the traffic, optimize route planning and intelligent transport systems and congestion management.

Senator Says Us Privacy Law Could Reach Draft Form Early Next Year

A senator has suggested that a US privacy law could be drafted early next year in the form of a bipartisan bill.

While there is as yet no consensus on the wording of such a bill, there is widespread agreement that some form of legislation is required …

Reuters reports that the remark was made by Senator Richard Blumenthal.

A much-anticipated bill that may give the U.S. government the ability to collect civil penalties if a company misuses consumer data on the internet or allows it to be stolen could be drafted early next year, a lawmaker said on Tuesday […]

Senator Richard Blumenthal, a Democrat, said at the hearing he hoped a draft would be finished “early in the session (next year).”

“I have been working with Sen. Moran on a bipartisan privacy bill that I hope will make very good progress very soon,” he said […]

Republican Senator Jerry Moran, chairman of the consumer protection, product safety, insurance and data security subcommittee, said although he supported privacy rules he was not sure about imposing civil penalties […]

Senator John Thune, who chairs the Commerce Committee, said his committee was also exploring privacy legislation but did not give details.

The push for a US privacy law follows the implementation of the world’s toughest legislation introduced in Europe earlier this year: the General Data Protection Regulation (GDPR). The standards set by the law are so high that even Apple had to make improvements to its privacy policies in order to comply.

Our own poll showed that 90% of 9to5Mac readers wanted to see US companies adopt GDPR privacy standards, and a recent large-scale survey showed the majority of the US population supports tech regulation.

Apple CEO Tim Cook has been pushing hard for a US privacy law, arguing last month that it needs to be rooted in four rights.

We at Apple are in full support of a comprehensive federal privacy law in the United States. There, and everywhere, it should be rooted in four essential rights: First, the right to have personal data minimized. Companies should challenge themselves to de-identify customer data—or not to collect it in the first place. Second, the right to knowledge. Users should always know what data is being collected and what it is being collected for. This is the only way to empower users to decide what collection is legitimate and what isn’t. Anything less is a sham. Third, the right to access. Companies should recognize that data belongs to users, and we should all make it easy for users to get a copy of…correct…and delete their personal data. And fourth, the right to security. Security is foundational to trust and all other privacy rights.

Europe’s GDPR law is far-reaching, but at its heart is based on another four key principles.

Cook explained in a recent interview that he has been somewhat reluctant in coming to the conclusion that a US privacy law is needed, but has recognized that letting the market decide has not proven effective.

Image: Shutterstock

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Reach Vs. Impressions: What’s More Important To Track In 2023?

What is the difference between reach vs. impressions? Which one should you be paying more attention to? And how do you track them on different platforms? We have the answers.

All social media marketers share an important goal — to get our content seen by as many people as possible. That’s what we measure our success with metrics like reach and impressions.

Both of these important social media metrics track how much your content has been viewed, so you can understand your social media growth — but they don’t do it in exactly the same way.

Today, we’re giving you answers about what reach and impressions are, why they matter, and how they’re different.

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What’s the difference between reach and impressions on social media?

Reach and impressions both reveal how much your social media content is being seen. The difference between them is subtle, but important — and not every platform defines them in exactly the same way.

Reach measures how many users saw your content

Impressions measure how many times your content was viewed

Confused? That’s okay. Let’s get some clarity.

What is reach?

On social media, reach refers to the number of users that saw your content, i.e. how many different people it reached.

Many platforms allow you to track both the overall reach of all your content, and how many people saw your individual posts, like a Reel or Story.

For example, maybe 3,250 different accounts saw your last Instagram Story, or 12,861 total users saw your TikToks this month.

What is an impression?

On social media, impressions are the number of times your content was seen, including multiple views from individual users.

Impressions are calculated by tracking the total number of times your content was displayed across a platform, like in the user’s feed or search results. Just like reach, you can calculate overall impressions for all your content, or see how many you got on a single post.

If you’re getting way more impressions than reach, it likely means people are looking at your post over and over. That’s a good thing! It shows that your target audience finds your content memorable.

Reach vs. impressions on different social networks

Not every platform defines them in exactly the same way. Let’s break down what reach and impressions mean on different social networks.


On Facebook, Reach defines how many people saw content from your Facebook Page, or about your Facebook Page (for example, a post you were tagged in).

Impressions refer to the number of times content from or about your Page entered someone’s screen. That could be in their news feed, through search, or because they intentionally navigated to your Page.


Instagram defines Accounts Reached as the number of unique accounts who have seen your content on-screen at least once.

Instagram impressions are pretty standard — it’s the number of times your content was seen, including multiple views from the same user.

Within the Instagram app, you can view reach and impressions over the last 7 days, the last 30 days, the previous month, or the last 90 days. You can also break it down by audience demographics like gender, location, and age.


On TikTok, Reached audience tells you the number of unique users who watched your videos.

TikTok’s term for Impressions is “Total video views.” This tells you how many times each of your TikToks was seen.


On each Tweet, Twitter shows you its total impressions, meaning how many times it appears on a user’s feed or in search results.

If you turn on Twitter’s native analytics, you can see your total impressions over the last 7 days, 28 days, or in a specific month.

Unfortunately, Twitter doesn’t calculate reach.


On LinkedIn, you can view how many impressions you got on each post. While the platform doesn’t have a dedicated Reach metric, you can see how many people have viewed your profile in the last 28 days.

LinkedIn also gives you some limited insights into who saw your posts, by metrics like company, location, and job title.


YouTube Analytics doesn’t offer a Reach metric.

You can also track how many total views your content received.


On Pinterest, Impressions describe how many times your Pin was displayed in a user’s homepage, on one of their boards, or in search.

“Total audience” is the Pinterest equivalent of reach. You can view the Total Audience for each Pin, or for all your content together, by monthly or all-time.


In Snapchat’s native insights, Reach shows how many followers saw your Snapchat content over the last week.

The strategic meaning of reach and impressions

In general, reach and impressions are top-of-funnel metrics.

When focusing on these metrics, you’re trying to get as many eyes on your content as possible rather than persuading viewers to take an action (like making a purchase). This means that reach and impressions are both closely related to goals like brand awareness and audience-building.

If your goal is to build strong customer relationships, you might want to emphasize impressions over reach. When users are viewing your content multiple times, it shows that you made a lasting impression (pun intended).

On the flip side, reach might be more important if ongoing relationships and repeat purchases aren’t as integral to your business model as casting a wide net and scaling your following.

How to track reach and impressions

All social media platforms offer basic in-app analytics tools for performance tracking. You’ll usually be able to view both overall reach and impressions for all your content, and for each specific post.

Find out more about platform-specific analytics tools in our dedicated blog posts:

Bonus: Get a free social media report template to easily and effectively present your social media performance to key stakeholders.

Tracking reach and impressions in Hootsuite

For some users, native analytics capabilities will be enough. For example, an individual creator only using Instagram might be fine with the in-app Instagram Insights.

But if you’re part of a bigger team posting to multiple accounts across networks, you’ll save a lot of time and fuss using a centralized analytics dashboard like Hootsuite.

Here’s how Hootsuite Analytics can help you track reach, impressions, and much more — across all of your social media channels.

Cross-platform analytics

Hootsuite Analytics collects data from Facebook, Instagram, Twitter, LinkedIn, and TikTok and displays it as easy to read graphs in customizable dashboards. You can mix and match stats to build reports that truly meet your — and your boss’s — needs.

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Hootsuite also distills these metrics into more detailed, actionable insights. For example, the Best Time to Publish feature analyzes your past performance to recommend when you should post to support certain goals, including extending reach.

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Industry benchmarking

Tracking reach and impressions is great, but it can be challenging for marketers to put raw numbers into perspective.

Is reaching 200 people with a story good or average for a skincare brand? If an auto body shop is getting 450 views a Tweet, is that cause for celebration?

Hootsuite offers social benchmarks that show you how others in your industry are performing including, by reach and impressions. You’ll be able to select an industry that best matches your business, then look up average reach, impressions, and other metrics within chosen timeframes.

Whether you’re just starting on social media or you’re already an industry leader, these benchmarks will help you understand what good looks like and how you stack up.

Reach vs. impressions: fast FAQs

Having a TL;DR moment? Here’s some fast answers to your burning questions about impressions and reach.

How are reach and impressions different?

In general, reach measures the total number of people who saw your content. Impressions measure how many times they viewed it. But these definitions can vary by platform.

Which is better, reach or impressions?

If you care about growing as large an audience as possible, reach might be better. But if you want your content to be memorable, you might want higher impressions. It all depends on your goals!

What does it mean when impressions are higher than reach?

This typically means users are viewing your content multiple times. That’s a good thing — it means your post stuck with them!

Whether you’re focused on reach, impressions, or conversions, Hootsuite Analytics will help you crush your social media goals. Easily track the performance of all your social media channels all in one place. Double down on what works, get better results, and create custom reports to share your hard work with your team!

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All your social media analytics in one place. Use Hootsuite to see what’s working and where to improve performance.

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