#Process Automation Market Size

[bhumikaa]

United States Robotic Process Automation Market Share

The United States robotic process automation market size was valued at USD 1.3 billion in 2024 and is projected to surge to USD 11.3 billion by 2033, growing at a robust CAGR of 27.6% from 2025 to 2033. The U.S. holds a significant market share, driven by widespread adoption across industries seeking operational efficiency and cost reduction.

[trendingreportz]

Robotic Process Automation Market - Forecast(2025 - 2031)

Robotic Process Automation Market Overview

The Robotic Process Automation Market is estimated to reach USD22.14 billion by 2030, growing at a CAGR of 35.9% during the forecast period 2024-2030. Robotic process automation (RPA) is an automation software technology that makes it simple to design, deploy and manage software robots that resemble how people interact with digital systems and software. . Hyperautomation refers to the integration of various automation technologies, including RPA, artificial intelligence (AI), machine learning (ML), and process mining, to automate and optimize end-to-end business processes comprehensively. This trend involves expanding the scope of automation beyond routine, repetitive tasks to encompass complex, rule-based processes that involve decision-making and analysis. By combining RPA with AI and other advanced technologies, organizations can achieve greater efficiency, agility, and scalability in their operations, leading to increased productivity and cost savings. Intelligent automation involves the use of cognitive technologies, such as natural language processing (NLP), computer vision, and predictive analytics, to enable RPA bots to perform tasks that require cognitive capabilities. Cognitive RPA goes beyond rule-based automation by allowing bots to understand unstructured data, make decisions, and adapt to dynamic environments. This trend enables organizations to automate more sophisticated processes, enhance customer experiences, and drive innovation. By leveraging cognitive RPA, businesses can unlock new opportunities for growth and competitive advantage in an increasingly digital and data-driven world. 

Report Coverage

The “Robotic Process Automation Market Report – Forecast (2024-2030)” by IndustryARC, covers an in-depth analysis of the following segments in the Robotic Process Automation Market.

By Form: Attended Automation, Unattended Automation and Hybrid RPA.

By Solutions: Automated Software Solutions (Tools and Services, Software robot, Self-learning solutions, Rule-Based Operation, Knowledge-Based Operation, Cognitive automation, Enterprise software, Programmable RPA bots, Others), Decision Support Solutions and Interaction Solutions.

By Deployment: On-premises and Cloud.

By Organization Size: Small & Medium scale enterprises and Large scale enterprises.

By Application: Administration and reporting, Customer support, Data migration and capture, Data analysis, Compliance and Others.

By End-users: Aerospace and Defense, BFSI, Automobile, Food & Beverage, Retail, Governments, Education, Manufacturing, Transportation and Logistics, Telecommunication & IT, Energy and Utilities, Healthcare and Others.

By Geography: North America (the U.S., Canada, Mexico), Europe(Germany, UK, France, Italy, Spain, Others), APAC (China, Japan, South Korea, India, Australia, Others), South America (Brazil, Argentina, Others), RoW (Middle East, Africa).

Request Sample

Key Takeaways

The large-scale enterprise segment held the largest share with 70% in the RPA market by organization size, in 2021. The high adoption of RPA in large-scale enterprises is driven by the growing demand for automation processes in complex business processes to gain maximum productivity.

The Retail sector segment by end users in the Robotic Process Automation Market is expected to grow fastest at a CAGR of 38.2% during the forecast period 2022-2027. The high adoption of RPA in the retail sector is due to its rapid switch to digital modes for efficient management and tracking of business activities.

Asia-Pacific is expected to grow the fastest at a CAGR of 39.1% in the Robotic Process Automation Market during the forecast period 2022-2027. The widescale adoption of RPA in this region is driven by the increasing adoption of technologically advanced RPA systems for handling complex business processes.

The high adoption of RPAaaS to eliminate the licensing cost for RPA is driving the market growth.

Robotic Process Automation Market Segment Analysis - by Organization Size

The Robotic Process Automation Market by organization size has been segmented into small & medium scale enterprises and large-scale enterprises. The large-scale enterprise segment held the largest share with 70% in the RPA market by organization size, in 2022. The high adoption of RPA in large-scale enterprises is driven by the growing demand for automation processes in complex business processes to gain maximum productivity. The leading companies are adopting new strategies such as extended licensing terms and supplemental software items to improve the RPA already in use. In April 2022, FPT Software Company stated that it would be giving its current customers a free extension on the licensing of its product.

Inquiry Before Buying

Robotic Process Automation Market Segment Analysis - by End-users

The Robotic Process Automation Market by end users has been segmented into aerospace and defense, BFSI, automobile, food & beverage, retail, governments, education, manufacturing, transportation and logistics, telecommunication & IT, energy and utilities, healthcare and others. The retail sector segment by end users in the Robotic Process Automation Market is expected to grow fastest at a CAGR of 38.2% during the forecast period 2024-2030. The high adoption of RPA in the retail sector is due to its rapid switch to digital modes for efficient management and tracking of business activities such as accounting and finance, customer service management and customer behavior analysis. In July 2022, Comtec Information System in their report stated that the use of RPA in retail sectors can save more than $2 trillion in the global workforce.

Robotic Process Automation Market Segment Analysis - by Geography

The Robotic Process Automation Market by geography is segmented into North America, Europe, APAC, South America and RoW. Asia Pacific is expected to grow at the fastest CAGR with 39.1%, during the forecast period 2024-2030. The widescale adoption of RPA in this region is driven by the increasing adoption of technologically advanced RPA systems for handling complex business processes. In 2022, the Blue Prism report stated several organizations in this are adopting intelligent RPA technology that uses machine learning for more complex business processes. It also stated Australia topped the list of organizations using RPA in APAC followed by India with 78% and 49% respectively.

Schedule a Call

Robotic Process Automation Market Drivers

The high adoption of RPAaaS to eliminate the licensing cost for RPA is driving the market growth.

RPAaaS eliminate the licensing cost for RPA. The RPAaaS enables zero cost for bot licensing as it is hosted on a cloud. It offers 100% faster deployment as no installation is required. The software will be also automated through the cloud automatically. This is expected to fuel market growth as the above factors will encourage more companies to adopt the technology. In July 2022, AutomationEdge a leading AI-powered IT automation and robotic process automation company in their report mentioned how RPAaaS will power the mid-market growth over the next few years.

The advancement in the latest technology like optical character recognition (OCR), machine learning and robotics process automation analytics is fueling the market expansion.

The latest technology such as optical character recognition (OCR), machine learning and robotics process automation analytics are integrated into the RPA. This led to the development of an intelligent automation system having Tools and Services & Decision Support solutions. This is expected to eliminate desk interaction by 40%, by 2025. In Jan 2022, an article published by NICE stated that OCR in RPA-enabled organizations is quipped to automate a large volume of operational business processes, particularly tasks that still depend heavily on scanned paperwork such as customer-completed forms.

Buy Now

Robotic Process Automation Market Challenge

The lack of awareness among enterprises about the advantages of RPA can restrict the market growth.

Lack of knowledge among enterprises on the full potential of robotic process automation and reluctance to invest in the integration of the software are two major challenges to the Robotic Process Automation Market growth. Most organizations are unaware of the full potential of robotic process automation and how digital transformation can help reduce the overall cost for the company. In Jan 2022, Techwire Asia in their survey report stated that 47% of organizations have not implemented due to lack of awareness, budget constraints and privacy concerns

Robotic Process Automation Industry Outlook

Product launches, collaborations, and R&D activities are key strategies adopted by players in the Robotic Process Automation Market. The Robotic Process Automation Market's top 10 companies include:

 IPsoft, Inc.

Verint Systems Inc.

Blue Prism Group plc

Xerox Corporation

Redwood Software

FPT Software Ltd.

Kofax Inc.

NICE Ltd Inc.

UiPath

OnviSource, Inc.

Recent Developments

In August 2022, macami.ai a robotic process automation company launched a new intelligent automation system which explores the integration of robotic process automation and artificial intelligence.

[semiconductorsandelectronics]

Process Automation and Instrumentation Market by Transmitter (Level, Pressure, Temperature), Analyzer (TOC, pH, Oxygen, Conductivity, Density, Toxic Gas, Turbidity, Hydrogen Sulfide), PLC, DCS, SCADA, HMI, MES, Industry - Global Forecast to 2029

[energyandpowerresearchreport]

Global Trends in Distributed Control Systems: Market Size and Share Analysis

According to a research report “Distributed Control System Industry by Component (Hardware, Software, Services), Application (Continuous, Batch-Oriented), End-user (Oil & Gas, Power Generation, Chemical, Food & Beverages, Pharmaceutical, Metal & Mining), Region – Global Forecast to 2028″ published by MarketsandMarkets, the distributed control system industry is projected to reach USD 26.7 billion…

[mordorintelligencemarketresearch]

Transforming Industries: The Rise of Process Automation in North America

Market Size and Growth Projection

The North America Process Automation Market is projected to grow from an estimated USD 39.52 billion in 2024 to USD 45.43 billion by 2029, achieving a compound annual growth rate (CAGR) of 2.83% during the forecast period.

Market Overview

The North America process automation industry is experiencing robust growth as organizations increasingly adopt automation solutions to enhance operational efficiency and reduce costs. With significant investments in technology across sectors such as manufacturing, oil and gas, and pharmaceuticals, the demand for advanced automation systems is on the rise. The region is known for its technological advancements and a strong emphasis on innovation, making it a key player in the global process automation market.

Key Trends

Integration of AI and IoT: The convergence of artificial intelligence (AI) and the Internet of Things (IoT) is revolutionizing process automation, enabling smarter decision-making and improved operational insights.

Focus on Sustainability: Companies are increasingly adopting automation solutions to enhance energy efficiency and reduce waste, aligning with sustainability goals and regulatory requirements.

Workforce Transformation: As automation technologies evolve, there is a growing emphasis on reskilling and upskilling the workforce to adapt to new tools and processes.

Cloud-Based Automation Solutions: The rise of cloud computing is facilitating scalable and flexible automation solutions, allowing businesses to optimize their operations without heavy upfront investments.

Cybersecurity Concerns: As automation systems become more interconnected, the focus on cybersecurity is intensifying, prompting companies to invest in robust security measures to protect their operations.

Challenges

Despite its growth potential, the North America process automation market faces challenges, including high initial investment costs and the complexity of integrating new systems with legacy infrastructure. Additionally, regulatory hurdles and the need for skilled labor to manage advanced automation technologies can hinder widespread adoption.

Conclusion

The North America process automation market is poised for steady growth, driven by technological advancements and an increasing focus on operational efficiency. While challenges exist, the ongoing integration of AI, IoT, and cloud solutions presents significant opportunities for businesses to enhance their processes. By embracing innovation and addressing potential obstacles, stakeholders can position themselves for success in this dynamic industry.

[chandupalle]

The global process automation and instrumentation market size is projected to reach USD 86.6 billion by 2027, at a CAGR of 5.5% during the forecast period.

[mostlysignssomeportents]

AI can’t do your job

I'm on a 20+ city book tour for my new novel PICKS AND SHOVELS. Catch me in SAN DIEGO at MYSTERIOUS GALAXY on Mar 24, and in CHICAGO with PETER SAGAL on Apr 2. More tour dates here.

AI can't do your job, but an AI salesman (Elon Musk) can convince your boss (the USA) to fire you and replace you (a federal worker) with a chatbot that can't do your job:

https://www.pcmag.com/news/amid-job-cuts-doge-accelerates-rollout-of-ai-tool-to-automate-government

If you pay attention to the hype, you'd think that all the action on "AI" (an incoherent grab-bag of only marginally related technologies) was in generating text and images. Man, is that ever wrong. The AI hype machine could put every commercial illustrator alive on the breadline and the savings wouldn't pay the kombucha budget for the million-dollar-a-year techies who oversaw Dall-E's training run. The commercial market for automated email summaries is likewise infinitesimal.

The fact that CEOs overestimate the size of this market is easy to understand, since "CEO" is the most laptop job of all laptop jobs. Having a chatbot summarize the boss's email is the 2025 equivalent of the 2000s gag about the boss whose secretary printed out the boss's email and put it in his in-tray so he could go over it with a red pen and then dictate his reply.

The smart AI money is long on "decision support," whereby a statistical inference engine suggests to a human being what decision they should make. There's bots that are supposed to diagnose tumors, bots that are supposed to make neutral bail and parole decisions, bots that are supposed to evaluate student essays, resumes and loan applications.

The narrative around these bots is that they are there to help humans. In this story, the hospital buys a radiology bot that offers a second opinion to the human radiologist. If they disagree, the human radiologist takes another look. In this tale, AI is a way for hospitals to make fewer mistakes by spending more money. An AI assisted radiologist is less productive (because they re-run some x-rays to resolve disagreements with the bot) but more accurate.

In automation theory jargon, this radiologist is a "centaur" – a human head grafted onto the tireless, ever-vigilant body of a robot

Of course, no one who invests in an AI company expects this to happen. Instead, they want reverse-centaurs: a human who acts as an assistant to a robot. The real pitch to hospital is, "Fire all but one of your radiologists and then put that poor bastard to work reviewing the judgments our robot makes at machine scale."

No one seriously thinks that the reverse-centaur radiologist will be able to maintain perfect vigilance over long shifts of supervising automated process that rarely go wrong, but when they do, the error must be caught:

https://pluralistic.net/2024/04/01/human-in-the-loop/#monkey-in-the-middle

The role of this "human in the loop" isn't to prevent errors. That human's is there to be blamed for errors:

https://pluralistic.net/2024/10/30/a-neck-in-a-noose/#is-also-a-human-in-the-loop

The human is there to be a "moral crumple zone":

https://estsjournal.org/index.php/ests/article/view/260

The human is there to be an "accountability sink":

https://profilebooks.com/work/the-unaccountability-machine/

But they're not there to be radiologists.

This is bad enough when we're talking about radiology, but it's even worse in government contexts, where the bots are deciding who gets Medicare, who gets food stamps, who gets VA benefits, who gets a visa, who gets indicted, who gets bail, and who gets parole.

That's because statistical inference is intrinsically conservative: an AI predicts the future by looking at its data about the past, and when that prediction is also an automated decision, fed to a Chaplinesque reverse-centaur trying to keep pace with a torrent of machine judgments, the prediction becomes a directive, and thus a self-fulfilling prophecy:

https://pluralistic.net/2023/03/09/autocomplete-worshippers/#the-real-ai-was-the-corporations-that-we-fought-along-the-way

AIs want the future to be like the past, and AIs make the future like the past. If the training data is full of human bias, then the predictions will also be full of human bias, and then the outcomes will be full of human bias, and when those outcomes are copraphagically fed back into the training data, you get new, highly concentrated human/machine bias:

https://pluralistic.net/2024/03/14/inhuman-centipede/#enshittibottification

By firing skilled human workers and replacing them with spicy autocomplete, Musk is assuming his final form as both the kind of boss who can be conned into replacing you with a defective chatbot and as the fast-talking sales rep who cons your boss. Musk is transforming key government functions into high-speed error-generating machines whose human minders are only the payroll to take the fall for the coming tsunami of robot fuckups.

This is the equivalent to filling the American government's walls with asbestos, turning agencies into hazmat zones that we can't touch without causing thousands to sicken and die:

https://pluralistic.net/2021/08/19/failure-cascades/#dirty-data

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2025/03/18/asbestos-in-the-walls/#government-by-spicy-autocomplete

Image: Krd (modified) https://commons.wikimedia.org/wiki/File:DASA_01.jpg

CC BY-SA 3.0 https://creativecommons.org/licenses/by-sa/3.0/deed.en

--

Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[jcmarchi]

Ganesh Shankar, CEO & Co-Founder of Responsive – Interview Series

New Post has been published on https://thedigitalinsider.com/ganesh-shankar-ceo-co-founder-of-responsive-interview-series/

Ganesh Shankar, CEO & Co-Founder of Responsive – Interview Series

Ganesh Shankar, CEO and Co-Founder of Responsive, is an experienced product manager with a background in leading product development and software implementations for Fortune 500 enterprises. During his time in product management, he observed inefficiencies in the Request for Proposal (RFP) process—formal documents organizations use to solicit bids from vendors, often requiring extensive, detailed responses. Managing RFPs traditionally involves multiple stakeholders and repetitive tasks, making the process time-consuming and complex.

Founded in 2015 as RFPIO, Responsive was created to streamline RFP management through more efficient software solutions. The company introduced an automated approach to enhance collaboration, reduce manual effort, and improve efficiency. Over time, its technology expanded to support other complex information requests, including Requests for Information (RFIs), Due Diligence Questionnaires (DDQs), and security questionnaires.

Today, as Responsive, the company provides solutions for strategic response management, helping organizations accelerate growth, mitigate risk, and optimize their proposal and information request processes.

What inspired you to start Responsive, and how did you identify the gap in the market for response management software?

My co-founders and I founded Responsive in 2015 after facing our own struggles with the RFP response process at the software company we were working for at the time. Although not central to our job functions, we dedicated considerable time assisting the sales team with requests for proposals (RFPs), often feeling underappreciated despite our vital role in securing deals. Frustrated with the lack of technology to make the RFP process more efficient, we decided to build a better solution.  Fast forward nine years, and we’ve grown to nearly 500 employees, serve over 2,000 customers—including 25 Fortune 100 companies—and support nearly 400,000 users worldwide.

How did your background in product management and your previous roles influence the creation of Responsive?

As a product manager, I was constantly pulled by the Sales team into the RFP response process, spending almost a third of my time supporting sales instead of focusing on my core product management responsibilities. My two co-founders experienced a similar issue in their technology and implementation roles. We recognized this was a widespread problem with no existing technology solution, so we leveraged our almost 50 years of combined experience to create Responsive. We saw an opportunity to fundamentally transform how organizations share information, starting with managing and responding to complex proposal requests.

Responsive has evolved significantly since its founding in 2015. How do you maintain the balance between staying true to your original vision and adapting to market changes?

First, we’re meticulous about finding and nurturing talent that embodies our passion – essentially cloning our founding spirit across the organization. As we’ve scaled, it’s become critical to hire managers and team members who can authentically represent our core cultural values and commitment.

At the same time, we remain laser-focused on customer feedback. We document every piece of input, regardless of its size, recognizing that these insights create patterns that help us navigate product development, market positioning, and any uncertainty in the industry. Our approach isn’t about acting on every suggestion, but creating a comprehensive understanding of emerging trends across a variety of sources.

We also push ourselves to think beyond our immediate industry and to stay curious about adjacent spaces. Whether in healthcare, technology, or other sectors, we continually find inspiration for innovation. This outside-in perspective allows us to continually raise the bar, inspiring ideas from unexpected places and keeping our product dynamic and forward-thinking.

What metrics or success indicators are most important to you when evaluating the platform’s impact on customers?

When evaluating Responsive’s impact, our primary metric is how we drive customer revenue. We focus on two key success indicators: top-line revenue generation and operational efficiency. On the efficiency front, we aim to significantly reduce RFP response time – for many, we reduce it by 40%. This efficiency enables our customers to pursue more opportunities, ultimately accelerating their revenue generation potential.

How does Responsive leverage AI and machine learning to provide a competitive edge in the response management software market?

We leverage AI and machine learning to streamline response management in three key ways. First, our generative AI creates comprehensive proposal drafts in minutes, saving time and effort. Second, our Ask solution provides instant access to vetted organizational knowledge, enabling faster, more accurate responses. Third, our Profile Center helps InfoSec teams quickly find and manage security content.

With over $600 billion in proposals managed through the Responsive platform and four million Q&A pairs processed, our AI delivers intelligent recommendations and deep insights into response patterns. By automating complex tasks while keeping humans in control, we help organizations grow revenue, reduce risk, and respond more efficiently.

What differentiates Responsive’s platform from other solutions in the industry, particularly in terms of AI capabilities and integrations?

Since 2015, AI has been at the core of Responsive, powering a platform trusted by over 2,000 global customers. Our solution supports a wide range of RFx use cases, enabling seamless collaboration, workflow automation, content management, and project management across teams and stakeholders.

With key AI capabilities—like smart recommendations, an AI assistant, grammar checks, language translation, and built-in prompts—teams can deliver high-quality RFPs quickly and accurately.

Responsive also offers unmatched native integrations with leading apps, including CRM, cloud storage, productivity tools, and sales enablement. Our customer value programs include APMP-certified consultants, Responsive Academy courses, and a vibrant community of 1,500+ customers sharing insights and best practices.

Can you share insights into the development process behind Responsive’s core features, such as the AI recommendation engine and automated RFP responses?

Responsive AI is built on the foundation of accurate, up-to-date content, which is critical to the effectiveness of our AI recommendation engine and automated RFP responses. AI alone cannot resolve conflicting or incomplete data, so we’ve prioritized tools like hierarchical tags and robust content management to help users organize and maintain their information. By combining generative AI with this reliable data, our platform empowers teams to generate fast, high-quality responses while preserving credibility. AI serves as an assistive tool, with human oversight ensuring accuracy and authenticity, while features like the Ask product enable seamless access to trusted knowledge for tackling complex projects.

How have advancements in cloud computing and digitization influenced the way organizations approach RFPs and strategic response management?

Advancements in cloud computing have enabled greater efficiency, collaboration, and scalability. Cloud-based platforms allow teams to centralize content, streamline workflows, and collaborate in real time, regardless of location. This ensures faster turnaround times and more accurate, consistent responses.

Digitization has also enhanced how organizations manage and access their data, making it easier to leverage AI-powered tools like recommendation engines and automated responses. With these advancements, companies can focus more on strategy and personalization, responding to RFPs with greater speed and precision while driving better outcomes.

Responsive has been instrumental in helping companies like Microsoft and GEODIS streamline their RFP processes. Can you share a specific success story that highlights the impact of your platform?

Responsive has played a key role in supporting Microsoft’s sales staff by managing and curating 20,000 pieces of proposal content through its Proposal Resource Library, powered by Responsive AI. This technology enabled Microsoft’s proposal team to contribute $10.4 billion in revenue last fiscal year. Additionally, by implementing Responsive, Microsoft saved its sellers 93,000 hours—equivalent to over $17 million—that could be redirected toward fostering stronger customer relationships.

As another example of  Responsive providing measurable impact, our customer Netsmart significantly improved their response time and efficiency by implementing Responsive’s AI capabilities. They achieved a 10X faster response time, increased proposal submissions by 67%, and saw a 540% growth in user adoption. Key features such as AI Assistant, Requirements Analysis, and Auto Respond played crucial roles in these improvements. The integration with Salesforce and the establishment of a centralized Content Library further streamlined their processes, resulting in a 93% go-forward rate for RFPs and a 43% reduction in outdated content. Overall, Netsmart’s use of Responsive’s AI-driven platform led to substantial time savings, enhanced content accuracy, and increased productivity across their proposal management operations.

JAGGAER, another Responsive customer, achieved a double-digit win-rate increase and 15X ROI by using Responsive’s AI for content moderation, response creation, and Requirements Analysis, which improved decision-making and efficiency. User adoption tripled, and the platform streamlined collaboration and content management across multiple teams.

Where do you see the response management industry heading in the next five years, and how is Responsive positioned to lead in this space?

In the next five years, I see the response management industry being transformed by AI agents, with a focus on keeping humans in the loop. While we anticipate around 80 million jobs being replaced, we’ll simultaneously see 180 million new jobs created—a net positive for our industry.

Responsive is uniquely positioned to lead this transformation. We’ve processed over $600 billion in proposals and built a database of almost 4 million Q&A pairs. Our massive dataset allows us to understand complex patterns and develop AI solutions that go beyond simple automation.

Our approach is to embrace AI’s potential, finding opportunities for positive outcomes rather than fearing disruption. Companies with robust market intelligence, comprehensive data, and proven usage will emerge as leaders, and Responsive is at the forefront of that wave. The key is not just implementing AI, but doing so strategically with rich, contextual data that enables meaningful insights and efficiency.

Thank you for the great interview, readers who wish to learn more should visit Responsive,

[pinkspiderastrology]

Starmageddon: Birth Charts from Online Planetariums

I fixed the math that's missing from chart calculation software...

Kristen Patterson / KP O'Neil

Jan. 14, 2025 / Uttara Ashadha P3 in Sagittarius / Social Capitalism

Zodiac birth charts - Tropical and Sidereal - are calculated with the 12 constellations divided evenly, 30° each, and therefore can't be accurate;

it's not mathematical and scientific to measure them evenly, equal to each other - this requires ignoring astronomy, when the very careful attention paid to stars and heavenly bodies for 24,000 years or more is what built the knowledge-base for understanding ourselves - our blueprints - through astrology.

All that's needed for accuracy is to set the birth chart calculation software to measure the constellations correctly - unevenly - and all software could have been set for this from the start -

it's the culture and business of Zodiac astrology that keeps the calculations and software incorrect -

there are several other corrections necessary as well, all of which were fought over when online planetariums reached near-maturity in the 2010s, taking the already-weak excuses out of matching astronomy to Zodiac astrology (excepting Babylonian astrology;)

if I wanted another life journey to learn coding, I would create the software myself - but I'm most satisfied as an artist, drawing instructor and forensic medium to have spent four years creating, testing and refining a set of chart drawings to interpret online planetarium results - overlaying jpeg screenshots on constellations scaled and measured by Nakshatras and the Gregorian calendar (which is how I found a gap in the wheel for a full-sized Abhijit Nakshatra... hmmm...)

working manually ensures there are no automated glitches in my results - which I process five ways and five times, and check from three online planetariums -

you can check your placements right now, if you go to one of the planetarium sites (though Stellarium on desktop is off by 45 minutes - Stellarium is perfect in App,) and set the location to your birthplace, the date/clock to your birthday and birth time;

I believe this is also a superior emotional and spiritual experience for encountering your birth data - and when it comes to determining your Ascendant, you can and should choose by what star is visibly the strongest on the horizon - your Descendant being half of your core personality, and needing to be determined the same way - which star is strongest on the horizon - and this usually leads to Ascendants and Descendants that span two Nakshatras, with auras of seven days -

the huge gains I've made by matching everything to calendar dates are beyond belief - numerology vindicated, and Spirit Guides with human histories/trackable dates empowered - I'll explain in another post;

Tropical astrology needs to rename itself to Tropicology, as it measures Signs only by the equinoxes and solstices hitting lines of longitude that are mapped to the geography of Earth - following the so-called Seasons, which have had moments of consistency but are different worlds in different hemispheres, with Tropical being Eurocentric - and can only assess personalities as specifically as a Season can set one - while the Seasons have been shifting tremendously... how to measure someone by 1° with this kind of accuracy? Not possible...

and if you are aware of the problem of Precession, you know corrections are needed to allow for Earth's wobble on its axis - which wrecked Tropical's Tropics all of 2000+ years ago - the reliance on predictive astronomy tables based on patterning gave Zodiac astrologers the option to calculate birth charts from these tables, instead of being active astronomers keeping pace with the heavens -

Jyotisha experts, relying on a fixed-star system, still watch the skies because they have no conflict of interest - except when trying to blend Nakshatras with Zodiac astrologies for increased market shares;

I don't know why 'Sidereal' astrologers corrected birth chart calculations for Precession but not for the unmathematical culture of 30° - their leader and (arguably) one of my Guides, Cyril Fagan, pointed out the 30° needed to be abandoned for accuracy's sake - though I expect the timely and conjunct deaths of several Sidereal astrologers help explain why -

I found Cyril's argument about two months into my astrology studies, and then it took a year for my brain to wake up (the night before my birthday) and realise I could answer his argument by building star chart drawings to interpret the settings in online planetariums - and at the same time, synchronise the calendar and the Nakshatras with the true Zodiac...

To be helpful, here's the overview of my results:

Sun in Aries: Ashwini Pada 1 - Bharani Pada 3 start of April 21 - early evening May 11

Ashwini: Pada 1 (April 21-24) / Goal-Oriented; Pada 2 (24-27) / Dancers & Athletes; Pada 3 (27-30) / Fast Learning; Pada 4 (30-May 3) / Rescuer-Medics

Bharani: Pada 1 (May 4-7) / Ancestral Ties; Pada 2 (7-10) / Shamanism; Pada 3 (10-13) / Sex Gurus-Healers

Sun in Taurus: Bharani Pada 3 - Mrigashira Pada 3 / evening May 11 - end of June 19

Bharani: Pada 3 (May 10-13, Taurus starts evening May 11) / Sex Gurus-Healers; Pada 4 (13-16) / Medicine-Making

Krittika: Pada 1 (17-20) / Key-Holders; Pada 2 (20-23) / Diplomats; Pada 3 (23-26) / Occult Technologies; Pada 4 (26-29) / Professional Muses

Rohini: Pada 1 (May 30-June 2) / Promoters; Pada 2 (2-5) / Producers; Pada 3 (5-8) / Business Gurus; Pada 4 (8-11) / Collectors & Curators

Mrigashira: Pada 1 (June 12-15) / Interviewing; Pada 2 (15-18) / Interpreting; Pada 3 (18-21, Gemini starts midnight June 20) / Convening

Sun in Gemini: Mrigashira Pada 3 - Punarvasu Pada 4 / start of June 20 - to start of July 19

Mrigashira: Pada 3 (June 18-21, Gemini starts June 20) / Convening; Pada 4 (21-24) / Mediumship

Ardra: Pada 1 (June 25-28) / Predictions-Prophecy; Pada 2 (28-July 1) / Advocacy; Pada 3 (1-4) Optimising; Pada 4 (4-7) Influencing

Punarvasu: Pada 1 (8-11) / Orchestrating; Pada 2 (11-14) / Speculating; Pada 3 (14-17) / Marketing; Pada 4 (17-20, Cancer starts July 19) / Home Business

Sun in Cancer: Punarvasu Pada 4 - Ashlesha Pada 2 / start of July 19 - midday August 9

Punarvasu: Pada 4 (July 17-20, Cancer starts July 19) / Home Business

Pushya: Pada 1 (July 21-24) / Consultants; Pada 2 (24-27) / Caregiver-Medics; Pada 3 (27-30) Collaborators; Pada 4 (30-August 2) Oracles

Ashlesha: Pada 1 (August 3-6) / Institutional; Pada 2 (6-9) / Political

Sun in Leo: Ashlesha Pada 3 - Uttara Phalguni Pada 2 / midday August 9 - midday September 15

Ashlesha: Pada 3 (August 9-12, Leo starts midday August 9) / Ideological; Pada 4 (12-15) / Anarchical

Magha: Pada 1 (August 16-19) / Action- Driven; Pada 2 (19-22) / Context-Driven; Pada 3 (22-25) / Results-Driven; Pada 4 (25-28) / Process-Driven

Purva Phalguni: Pada 1 (August 29- September 1) / Sun-Gameplay Leadership; Pada 2 (1-4) / Mercury-Mind & Sales Leadership; Pada 3 (4-7) / Venus-Investment Leadership; Pada 4 (7-10) / Mars-Mission, Loves & Loyalties Leadership

Uttara Phalguni: Pada 1 (September 11-14) / Jupiter-Wheel & House Leadership; Pada 2 (14-17, Virgo starts midday September 15) / Saturn-Media Leadership

Sun in Virgo: Uttara Phalguni Pada 2 - Vishakha Pada 1 / midday September 15 - midday November 3

Uttara Phalguni; Pada 2 (September 14-17, Virgo starts midday September 15) / Saturn-Media Leadership; Pada 3 (17-20) / Ouranos-Revolution Leadership; Pada 4 (20-23) / Neptune-Soul Contract Leadership

Hasta: Pada 1 (September 24-27) / Magic Traders-Merchants; Pada 2 (27-30) / Magic Artisans; Pada 3 (30-October 3) / Magic- Channeled Writing; Pada 4 (3-6) / Magic Hands and Feet

Chitra: Pada 1 (October 7-10) / Picture-Making; Pada 2 (10-13) / Project Management; Pada 3 (13-16) / Venture Capitalism; Pada 4 (16-19) / Forbidden Path(s) to Heaven

Swati: Pada 1 (October 20-23) / Philosophy; Pada 2 (23-26) / Record-Keeping; Pada 3 (26-29) / Social Engineering; Pada 4 (October 29-November 1) / Entrepreneurism

Vishakha: Pada 1 (November 2-5, Libra starts midday November 3) / Pioneering

Sun in Libra: Vishakha Pada 1 - Anuradha Pada 3 / midday November 3 - start of November 24

Vishakha Pada 1 (November 2-5, Libra starts midday November 3) / Pioneering; Pada 2 (5-8) / Asset Management; Pada 3 (8-11) / Family Business; Pada 4 (11-14) / Benefactors

Anuradha: Pada 1 (November 15-18) / Matrix-Hacking; Pada 2 (18-21) / Pathfinding; Pada 3 (21-24, Scorpius starts November 24) / Mediating-Martyrdom

Sun in Scorpius: Anuradha Pada 3 - Mula Pada 3 / start of November 24 - late morning December 19

Anuradha: Pada 3 (21-24, Scorpius starts November 24) / Mediating-Martyrdom; Pada 4 (24-27) / Secret Service

Jyeshtha: Pada 1 (November 28-December 1) / Pluto-Career Secrets; Pada 2 (1-4) / Chiron-Stolen Career Secrets; Pada 3 (4-7) / Ouranos-Astrology-Tech-Trafficking Secrets; Pada 4 (7-10) / Neptune-Soul Contract Secrets

Mula: Pada 1 (December 11-14) / Rehabilitators; Pada 2 (14-17) / Green Men, Green Ladies, House Protectors; Pada 3 (17-20, Sagittarius starts December 19) / Knowledge-Keepers

Sun in Sagittarius: Mula Pada 3 - Abhijit Pada 1 / late morning December 19 - start of January 20

Mula: Pada 3 (December 17-20, Sagittarius starts December 19) / Knowledge-Keepers; Pada 4 (20-23) / Root-Workers

Purva Ashadha: Pada 1 (December 24-27) / Ancestral Healers; Pada 2 (27-30) / Oracle Healers; Pada 3 (December 31-January 2) / Fire-Starters & Peacemakers; Pada 4 (2-5) / Rogue Healers

Uttara Ashadha: Pada 1 (January 6-9) / Chosen for A Mission; Pada 2 (9-12) / Law Expertise; Pada 3 (12-15) / Social Capitalism; Pada 4 (15-18) / Prolific Writing

Abhijit: Pada 1 (January 19-22, Capricornus starts January 20) / Surgeons, Pathologists, Seamstresses & Tailors, Machinists, Precision-Workers

Sun in Capricornus: Abhijit Pada 1 - Dhanishta Pada 1 / start of January 20 - start of February 15 (with overlap of Aquarius' arm as of January 31)

Abhijit: Pada 1 (January 19-22, Capricornus starts January 20) / Surgeons, Pathologists, Seamstresses & Tailors, Machinists, Precision-Workers; Pada 2 (22-25) / Fated Winners and Heroes; Pada 3 (25-28) / Reverse-Engineers, Comedians; Pada 4 (28-31) Innovators

Shravana: Pada 1 (February 1-4) / Ideas-Person; Pada 2 (4-7) / Speaking and Singing; Pada 3 (7-10) / Design-Thinking, Graphic Design; Pada 4 (10-13) / All-Powerful

Dhanishta: Pada 1 (February 14-17, Capricornus ends at start of February 15) / Manifesting

Sun in Aquarius (out of Capricornus:) Dhanishta Pada 1 - Shatabisha Pada 4 / overlap with Capricornus, January 31 in Abhijit Pada 4 - start of February 15 in Dhanishta Pada 1; reaches Pisces midday March 11

Dhanishta: Pada 1 (February 14-17, Capricornus ends February 14) / Manifesting; Pada 2 (17-20) / Networking; Pada 3 (20-23) / Celebrity; Pada 4 (23-26) / Cultural Icon

Shatabisha: Pada 1 (February 27-March 2) / Semi-Conductors setting personal worth with favourite technology; Pada 2 (2-5) / Star-Delta Circuit as Self-Starters or Arrangers (Chaos Magic) and use of private transportation; Pada 3 (5-8) / Comparative Circuit in Executive-Mode with use of favourite tools and instruments; Pada 4 (9-12, Pisces starts March 11) / Passive Circuit as Empaths with use of machinery and public transportation

Sun in Pisces: Shatabisha Pada 4 - Revati Pada 4 / midday March 11 - start of April 21

Shatabisha: Pada 4 (March 9-12, Pisces starts March 11) / Passive Circuit as Empaths with use of machinery and public transportation

Purva Bhadrapadha: Pada 1 (March 12-15) / Child and Animal Advocacy; Pada 2 (15-18) / Children's Mentorship; Pada 3 (18-21) / Gurus and Publishing; Pada 4 (22-25) / Service to Kali and Birth Charts-Akashic Records (also service to Jesus - we could say, service to God, but decide for yourself - I believe Kali is most relevant as the credited Creator of these charts-records, and I'm not about pushing anything religious, but being specific to historic and cultural accuracy - you might care more about religious/spiritual allegiances)

Uttara Bhadrapadha: Pada 1 (March 25-28) / Navigation, Boats & obsessions with Sea Dragons; Pada 2 (March 29-April 1) / Masterminding; Pada 3 (1-4) / Math and Music Expertise; Pada 4 (4-7) / Occult Arts

Revati: Pada 1 (April 8-11) / Fine Arts and Industrial Arts Teachers; Pada 2 (11-14) / Problem-Solvers; Pada 3 (14-17) / Scientists; Pada 4 (17-20) / Psychic Artists

I hope that helps get you started - please don't hesitate to send me your birth info if you'd like me to gift you my version of your chart placements -

I'll soon be publishing pdf booklets with detailed results for Ascendant-Descendant Core Personalities

because my corrections led to a discovery of patterns in our charts set by our Ascendants, that organise all 112 Padas in specific relationships and sequencing with each other, making it possible to know how all your chart aspects work together -

which I've also tested and proved (proofs will be included, and published regularly) to match how your planet cycles imprint your childhood and adolescent development - and through which Spirit Guides - by calendar dates -

I will update this article with a link to them.

[semiconductorsandelectronics]

Process Automation and Instrumentation Market by Transmitter (Level, Pressure, Temperature), Analyzer (TOC, pH, Oxygen, Conductivity, Density, Toxic Gas, Turbidity, Hydrogen Sulfide), PLC, DCS, SCADA, HMI, MES, Industry - Global Forecast to 2029

[ecommerceknowldge]

The Power of Upskilling: Why Investing in Yourself Is the Smartest Move You’ll Ever Make

In today’s fast-paced, constantly evolving world, the only thing more expensive than investing in yourself is not doing it.

Upskilling — the process of learning new skills or enhancing existing ones — is no longer optional. It's a necessity for staying competitive in the workforce, pivoting to new career paths, and adapting to a world where change is the only constant.

Whether you're a fresh graduate, a mid-career professional, or a business leader, this post will help you understand why upskilling matters, where to start, and how to make learning a lifelong habit.

Why Upskilling Matters More Than Ever

1. Rapid Technological Advancements

Automation, AI, and digital transformation have reshaped industries. According to the World Economic Forum, 44% of workers’ core skills will change by 2027. Skills that were in high demand five years ago may now be outdated.

Jobs aren't necessarily disappearing — they’re evolving. That means individuals must continuously adapt or risk being left behind.

2. Career Growth and Mobility

Upskilling doesn’t just help you survive — it helps you thrive.

Want a promotion? Looking to switch industries? Trying to freelance or start a side hustle? Upskilling bridges the gap between where you are and where you want to be.

For example:

A marketer who learns data analytics becomes more valuable.

A teacher who gains expertise in EdTech can unlock new career opportunities.

A finance professional with coding skills can transition into fintech.

3. Increased Job Security

In uncertain economic times, employees with in-demand skills are often the last to go. Upskilling makes you indispensable. Employers view proactive learners as assets — people who are flexible, forward-thinking, and ready to take on new challenges.

4. Personal Satisfaction and Confidence

Beyond career advantages, learning something new boosts your self-esteem. Mastering a new tool or concept builds confidence and adds a sense of achievement. Lifelong learning is directly linked to better mental health, cognitive ability, and even happiness.

Identifying What to Learn

Not all skills are created equal. Here’s how to identify what you should focus on:

1. Align With Industry Trends

Start by researching current trends in your field. What tools, software, or certifications are becoming standard? Websites like LinkedIn Learning, Coursera, and even job boards can offer insight into what’s in demand.

2. Pinpoint Skill Gaps

Look at your resume, job performance, or feedback. Are there areas where you consistently feel underqualified or reliant on others? That’s your starting point.

For instance, if you’re in marketing but struggle with Excel or Google Analytics, that’s a practical gap to close.

3. Balance Hard and Soft Skills

Hard skills (e.g., coding, SEO, data visualization) are measurable and job-specific. Soft skills (e.g., communication, emotional intelligence, adaptability) are often what make or break long-term success.

According to LinkedIn’s Workplace Learning Report, soft skills like creativity, collaboration, and critical thinking are increasingly valued by employers.

How to Upskill Effectively

Upskilling doesn’t have to mean going back to college or spending thousands. With the right strategy, you can learn faster, smarter, and more sustainably.

1. Set Clear Goals

Vague intentions (“I want to get better at digital marketing”) rarely produce results. Instead, try: ✅ “I will complete a Google Ads certification within 30 days.” ✅ “I will write one blog post a week to practice content writing.”

2. Use Online Platforms

Some great learning platforms include:

Coursera – Offers university-led courses, many for free.

Udemy – Affordable, practical skill-based learning.

LinkedIn Learning – Career-focused, bite-sized lessons.

edX – Ivy-league content in flexible formats.

YouTube – A goldmine for free tutorials.

Don’t forget podcasts, newsletters, webinars, and even TikTok or Instagram accounts focused on education.

3. Apply What You Learn

Knowledge without application is wasted. If you’re learning copywriting, start a blog. If you’re learning a coding language, build a small project. Application cements learning and gives you portfolio pieces to show potential employers.

4. Join a Community

Learning with others keeps you accountable. Join Slack groups, Reddit communities, Discord servers, or local meetups. Networking with people on the same journey also opens up career opportunities.

5. Track and Reflect

Keep a simple progress log. Write down what you learned each week, what worked, and what didn’t. Reflection helps identify plateaus and gives you clarity on your next steps.

Upskilling at Work: Make It a Two-Way Street

If you’re employed, your workplace may be willing to sponsor courses or give you dedicated learning hours. Upskilling benefits your employer too — so don’t hesitate to ask.

Here’s how:

Propose a specific course or certification.

Explain how it’ll improve your job performance.

Offer to train others on what you’ve learned.

Employers appreciate initiative and are often happy to invest in employees who invest in themselves.

Final Thoughts: Build a Habit, Not Just a Skill

The most successful people don’t upskill once — they build a habit of learning.

Start with 30 minutes a day. Read a chapter. Watch a tutorial. Experiment with a new tool. Upskilling isn’t a race; it’s a lifestyle.

Remember: your career is your responsibility. In a world where industries change overnight, the most future-proof investment isn’t in stocks or crypto — it’s in you.