Technology stocks have been battered for most of 2022. There are many names that I consider of the highest quality that have been absolutely destroyed this year, but that's not the case for all tech stocks. In fact, IBM (NYSE:IBM) has bucked the trend and has actually outperformed the broader market by a wide margin in 2022.
I've made it no secret that I don't see any reason to own IBM, including in my last update back in March. I said then the ~5% yield wasn't good enough to warrant owning the shares, unless you are focused on income and nothing else. Today, even though IBM has returned -5% since that article against -18% for the S&P 500, I still don't think this is one you want to own near a market bottom. The reason is simple; IBM is a defensive stock in tech - if there is such a thing - which is why it has outperformed this year during a horrendous bear market. When we turn higher, defensive names are the last thing you want to own, so I'm sticking to my sell call here.
Looking at the daily chart, I don't see a lot of cause for long-term optimism, although the stock is oversold on a short-term basis. We can see there have been several rally attempts, but all have ultimately resulted in another turn lower. This current rally attempt is the result of a long string of declines that produced a PPO memorizing near -2, which is where the stock has bounced in the past. This one is no different, but do not mistake a bounce for a rally.
The 14-day RSI, which is a shorter-term indicator than the PPO, hasn't cleared the centerline in the past two rally attempts. That's the sign of a stock with a lack of bullish momentum, and it's why I said not to mistake a bounce for a rally; this is one of the ways you can tell the difference.
On a relative strength basis, as I said, IBM has been great this year. It's convincingly outperformed its peer group, which in turn, has outperformed the S&P 500. That's the kind of thing you want to see from your stocks, but as I said, given IBM is defensive in the tech group, this outperformance makes sense during a bear market. Rest assured this relative strength will flip on its head when we do turn higher, because Wall Street wants exposure to growth during bull markets, and IBM simply doesn't have it.
I've long maintained that IBM is a company that struggles to hit its own guidance, and therefore, estimates that Wall Street produces. This is, of course, highly undesirable because it means that when investors try to value the stock, they are doing so with shrinking estimates. Plus, there aren't many investors that want a stock with shrinking estimates, given those stocks that perform the best are the ones consistently raising guidance and beating estimates. IBM hasn't been one of those stocks in decades, literally, and today is no different.
Let's take a look at revenue, beginning with a historical view of its three major segments.
One of the things you must understand about IBM's revenue is that it is choppy. All of its segments produce oscillating revenue - rather than steadily growing revenue - and that generates the same on a consolidated enterprise basis. This is not a desirable trait, and it means that even though there's clear leadership from software, even that segment has struggled in the past to produce growth.
The most recent quarter saw software produces 8% growth in annual recurring revenue, which is fine, with the best growth from transaction processing. Red Hat continues to be a growth driver for IBM, and in my opinion, is one of the best things this company has ever done with its capital. The second best thing was spinning off Kyndryl (KD), which is now a significant customer of IBM. Kyndryl is obviously a captive audience when it comes to revenue for IBM, so as long as Kyndryl is around, IBM has some built-in software revenue growth.
But as we can see, that simply hasn't been enough, and I don't think it ever will be based on IBM's history of missing its own guidance. Below are revenue estimates for the next few years, and the revision history of those estimates.
We're looking at current estimates of 3% or 4% growth annually, but with nearly-constant revisions downward to those. The best the company can show is a lack of negative revisions on this year's numbers in the past month; it's a sad state of affairs. However, anyone that has followed IBM for any period of time knows one thing this company is always good for is missing estimates. This is not new.
Moving to earnings, below we have the same chart as above, but with earnings before taxes instead of revenue.
Software's dominance is very clear here, given margins are much better than the other segments. That means that if you insist on owning this stock for whatever reason, you want to keep a eager eye on software's performance. The others simply don't matter nearly as much when it comes to earnings and cash flow. The fact that IBM has some growth drivers in software is a good sign, but is it enough to overcome weakness elsewhere? You can be the judge of that.
We've touched on two of the drivers of EPS growth - revenue and margins - but IBM has spent tens of billions of dollars buying back its own shares in the past couple of decades. The company's "strategy" used to just be to milk as much cash from its business as possible and then spend almost all of it on repurchases, hoping financial engineering would work its magic into EPS growth. While I'm a fan of buybacks when they're done correctly, IBM's blunt force approach never worked because it forgot to stay competitive in the marketplace. Newer leadership is focusing more on the genuine business rather than just buying as many shares as possible, but the end result doesn't appear to be that different.
EPS revisions just continue to go lower, and it's still happening today, as it has for many years. This makes it challenging to value IBM on a P/E basis because you simply don't know how low the "E" part of the equation will go. That's also why Wall Street prefers stocks with growing "E" values because it means the share price must rise in order to maintain the same valuation; IBM has the opposite issue.
What's interesting is that despite IBM's complete inability to even meet estimates - let alone beat them - the stock is actually quite near its highs in terms of valuation. Below we have five years of history of forward P/E ratios to illustrate this point.
The stock trades today at 13X forward earnings, against a five-year average of 11X. It's certainly in the upper echelons of historical valuations, which is perhaps understandable given 2022 has been awful for the markets, and therefore good for defensive names. However, this overvaluation (as I see it) should unwind pretty quickly once the bull market returns. I'm of the view that the bull market has either already begun again or is quite close to doing so, and given that, names like IBM will almost certainly be discarded to the back burner again.
One quick note on the dividend is that IBM's yield is exemplary at 5.2%. It's a proper income stock, and as we can see, the yield is very high by historical standards.
If you're a pure income investor, maybe that's good enough for you to own it. I'm not, and I see no reason to own this stock other than the yield, if that's your thing.
We have a stock that is overvalued on a historical basis, has very little growth to speak of, years and years of declining revenue and earnings estimates, and no catalysts that I can see that would change any of those characteristics. The chart looks pretty weak to me, and this appears to be a bounce, and not a rally. I'm sticking to my sell recommendation for IBM as I think it's relative outperformance in 2022 is coming to an end.
Sustainability has been a Topic we have heard about for a considerable time. The idea of reducing a company’s carbon footprint has been a part of many ESG conversations and carbon-neutral plans. While companies have the right intentions, executing these plans on a complete digital stack is more complicated.
Moor Insights & Strategy has written a research paper on the challenges enterprise organizations face in transforming business operations while reducing carbon footprint, security, vulnerabilities and ultimately costs which you can read here.
IBM recently announced the IBM LinuxONE 4 with a focus on sustainability. I believe the IBM LinuxONE Emperor 4 could help companies achieve sustainability and business operations goals.
Digital transformation in the wake of sustainability
The digital landscape is transforming business organizations, revolves around a hybrid model. This hybrid model allows businesses to use hybrid cloud infrastructure that fits custom and necessary workloads. Business organizations must be secure, scalable, and efficient while being sustainable.
Sustainability measures are critical today. The challenge of including sustainability within an organization’s digital transformation journey is higher up on the list for thought leadership. In a study by IBM, 51% of CIOs and CTOs surveyed said that the most significant challenge keeping them up at night was sustainability, up 32% from the last year. While organizations and thought leadership have the right intentions for sustainability, the execution and planning within other seemingly counter-variable challenges pose the difficulty.
Server consolidation without compromise
The IBM LinuxONE Emperor 4 infrastructure allows businesses to be scalable and sustainable. IBM says it can consolidate 55 x86 servers into one LinuxONE and achieve 75% less energy consumption. While energy consumption is not the only metric for sustainability, I believe consolidation leans heavily into the sustainability narrative.
The LinuxONE Emperor 4 also builds on the improvements of the z16, which you can read my coverage here. The Emperor 4 has increased performance with the new IBM Telum processor. The Telum processor has improved performance, a larger cache and fresh design, and an integrated accelerator for real-time embedded AI.
Much of the LinuxONE Emperor 4’s performance and sustainability gains are due to the Telum Processor. The Telum processor will handle high utilization workloads, and its embedded AI acceleration is a game changer, especially for real-time workloads. IBM says the LinuxONE Emperor 4 will run at the highest utilization level for maximum efficiency. It uses similar components to the z16, such as the Telum processor but with different software. It can meet modern workloads with AI acceleration like encryption acceleration, data compression, and AI inferencing faster than systems without embedded AI. This time difference allows workloads to complete faster and more efficiently.
Gaining lower TCO with added sustainability
The most significant contributor to a lower TCO for the LinuxONE Emperor 4 compared to an x86 system is lower energy consumption and fewer cores needed per workload. According to internal testing, IBM reported that a single LinuxONE Emperor 4 could scale to a workload of about 2000 typical x86 cores. The less energy consumed and fewer cores, the less space the LinuxONE Emperor 4 takes up, and the lower the cost. Not only does the system itself take up less room, but proportionately less cooling is required, taking up less energy and driving down cost.
I believe the IBM LinuxONE is capable of impressive consolidation while achieving a lower TCO. One example that IBM gave of how the LinuxONE Emperor 4 achieves sustainability is with Citi. Citi partnered with MongoDB and IBM to migrate MongoDB instances to IBM LinuxONE. Citi said its performance increased by 15%, enhanced its security capabilities, and helped drive toward its net-zero carbon emissions goals. I was impressed with how IBM set up a TCO calculator that allows companies to input existing infrastructure to see gains from switching to LinuxONE Emperor 4.
While I only scratched the surface of the LinuxONE Emperor 4 and its sustainability, Moor Insights & Strategy has a deep dive research paper on how it achieves sustainability, security, and scalability.
It is challenging to meet sustainability goals while reducing the TCO and increasing performance, security, and scalability. I believe the LinuxONE Emperor 4 is capable of meeting sustainability goals within the digital transformation operation of an organization. Its Telum processor accelerates modern workloads and allows workloads to utilize the LinuxONE Emperor 4 system fully. I highly recommend memorizing Moor Insights & Strategy paper on the LinuxONE Emperor 4 if you are considering a system with a lower TCO that drives sustainability goals.
Note: Moor Insights & Strategy co-op Jacob Freyman contributed to this article.
Moor Insights & Strategy, like all research and tech industry analyst firms, provides or has provided paid services to technology companies. These services include research, analysis, advising, consulting, benchmarking, acquisition matchmaking, and speaking sponsorships. The company has had or currently has paid business relationships with 8×8, Accenture, A10 Networks, Advanced Micro Devices, Amazon, Amazon Web Services, Ambient Scientific, Anuta Networks, Applied Brain Research, Applied Micro, Apstra, Arm, Aruba Networks (now HPE), Atom Computing, AT&T, Aura, Automation Anywhere, AWS, A-10 Strategies, Bitfusion, Blaize, Box, Broadcom, , C3.AI, Calix, Campfire, Cisco Systems, Clear Software, Cloudera, Clumio, Cognitive Systems, CompuCom, Cradlepoint, CyberArk, Dell, Dell EMC, Dell Technologies, Diablo Technologies, Dialogue Group, Digital Optics, Dreamium Labs, D-Wave, Echelon, Ericsson, Extreme Networks, Five9, Flex, Foundries.io, Foxconn, Frame (now VMware), Fujitsu, Gen Z Consortium, Glue Networks, GlobalFoundries, Revolve (now Google), Google Cloud, Graphcore, Groq, Hiregenics, Hotwire Global, HP Inc., Hewlett Packard Enterprise, Honeywell, Huawei Technologies, IBM, Infinidat, Infosys, Inseego, IonQ, IonVR, Inseego, Infosys, Infiot, Intel, Interdigital, Jabil Circuit, Keysight, Konica Minolta, Lattice Semiconductor, Lenovo, Linux Foundation, Lightbits Labs, LogicMonitor, Luminar, MapBox, Marvell Technology, Mavenir, Marseille Inc, Mayfair Equity, Meraki (Cisco), Merck KGaA, Mesophere, Micron Technology, Microsoft, MiTEL, Mojo Networks, MongoDB, National Instruments, Neat, NetApp, Nightwatch, NOKIA (Alcatel-Lucent), Nortek, Novumind, NVIDIA, Nutanix, Nuvia (now Qualcomm), onsemi, ONUG, OpenStack Foundation, Oracle, Palo Alto Networks, Panasas, Peraso, Pexip, Pixelworks, Plume Design, PlusAI, Poly (formerly Plantronics), Portworx, Pure Storage, Qualcomm, Quantinuum, Rackspace, Rambus, Rayvolt E-Bikes, Red Hat, Renesas, Residio, Samsung Electronics, Samsung Semi, SAP, SAS, Scale Computing, Schneider Electric, SiFive, Silver Peak (now Aruba-HPE), SkyWorks, SONY Optical Storage, Splunk, Springpath (now Cisco), Spirent, Splunk, Sprint (now T-Mobile), Stratus Technologies, Symantec, Synaptics, Syniverse, Synopsys, Tanium, Telesign,TE Connectivity, TensTorrent, Tobii Technology, Teradata,T-Mobile, Treasure Data, Twitter, Unity Technologies, UiPath, Verizon Communications, VAST Data, Ventana Micro Systems, Vidyo, VMware, Wave Computing, Wellsmith, Xilinx, Zayo, Zebra, Zededa, Zendesk, Zoho, Zoom, and Zscaler.
Moor Insights & Strategy founder, CEO, and Chief Analyst Patrick Moorhead is an investor in dMY Technology Group Inc. VI, Dreamium Labs, Groq, Luminar Technologies, MemryX, and Movandi.
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Oct 13, 2022 (Reportmines via Comtex) -- Pre and Post Covid is covered and Report Customization is available.
The "Manufacturing Predictive Analytics Market" is one of the sectors that is expanding the fastest, thus it is crucial for players in the market to first do an exhaustive analysis of the sector. This list of companies IBM,Microsoft,Oracle,SAS,Cambridge Analytica,Civis Analytics,RapidMiner,SAP,Alteryx,Bridgei2i Analytics Solutions,Cisco Systems,FICO,Tibco Software is one of the principal market rivals, according to the research. The research covers the market for Manufacturing Predictive Analytics extensively, as well as the significant market developments and the coronavirus's consequences. The Manufacturing Predictive Analytics Market Research Report and Industry Analysis examine the worldwide 2022 to 2028 market for the Manufacturing Predictive Analytics industry. The market report includes data on supply, application-specifics, price patterns, historical and anticipated market statistics, and firm shares of the region's top-ranking Manufacturing Predictive Analytics market. Market segmentation exists. The total number of pages in this report is 128.
The global Manufacturing Predictive Analytics market size is projected to reach multi million by 2028, in comparision to 2021, at unexpected CAGR during 2022-2028 (Ask for trial Report).
The research covers the market for Manufacturing Predictive Analytics in great detail, as well as the significant market developments and the consequences of the coronavirus. Demand, application-specific details, price patterns, historical and anticipated market statistics, and firm shares of the top-ranking Manufacturing Predictive Analytics market by region are all included in the market study. It includes a comprehensive analysis of the market for Manufacturing Predictive Analytics by price, income stream, kind, approach, location, etc. Based on application, the market is divided into Automotive,Aerospace,Building Construction,Chemical,Others segments. The geographic breakdown includes the regions North America: United States, Canada, Europe: GermanyFrance, U.K., Italy, Russia,Asia-Pacific: China, Japan, South, India, Australia, China, Indonesia, Thailand, Malaysia, Latin America:Mexico, Brazil, Argentina, Colombia, Middle East & Africa:Turkey, Saudi, Arabia, UAE, Korea, and each of the previously mentioned segments is examined. Based on type, the market is segmented into Software,Hardware,Other Services submarkets. The report divides the market size into segments based on region, application type, volume, and value. The Manufacturing Predictive Analytics market study finishes with an in-depth examination of a leading Manufacturing Predictive Analytics market's profile and statistics.
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The worldwide Manufacturing Predictive Analytics Market is categorized on Component, Deployment, Application, and Region.
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COVID 19 Impact Analysis
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Manufacturing Predictive Analytics Market Size and Industry Challenges
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Data Analytics in L & H Insurance Market 2022-2028
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Pune, Maharashtra — (SBWIRE) — 10/08/2022 — The Latest research study released by HTF MI "Data Analytics in L & H Insurance Market" with 100+ pages of analysis on business Strategy taken up by key and emerging industry players and delivers know how of the current market development, landscape, technologies, drivers, opportunities, market viewpoint and status. Understanding the segments helps in identifying the importance of different factors that aid the market growth. Some of the Major Companies covered in this Research are Deloitte, SAP AG, LexisNexis, IBM, Verisk Analytics, Pegasystems, Oracle, OpenText, Majesco, SAS, TIBCO Software, Prima Solutions, Qlik, Global IQX, Earnix & Atidot etc.
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Data Analytics in L & H Insurance Market By Application/End-User (Value and Volume from 2022 to 2027) : Predictive Analysis, Demographic Profiling, Data Visualization & Others
Market By Type (Value and Volume from 2022 to 2027) : , Service & Software
Data Analytics in L & H Insurance Market by Key Players: Deloitte, SAP AG, LexisNexis, IBM, Verisk Analytics, Pegasystems, Oracle, OpenText, Majesco, SAS, TIBCO Software, Prima Solutions, Qlik, Global IQX, Earnix & Atidot
Geographically, this report is segmented into some key Regions, with manufacture, depletion, revenue (million USD), and market share and growth rate of Data Analytics in L & H Insurance in these regions, from 2017 to 2027 (forecast), covering China, USA, Europe, Japan, Korea, India, Southeast Asia & South America and its Share (%) and CAGR for the forecasted period 2022 to 2027
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Chapter 1 Data Analytics in L & H Insurance Market Business Overview
Chapter 2 Major Breakdown by Type [, Service & Software]
Chapter 3 Major Application Wise Breakdown (Revenue & Volume)
Chapter 4 Manufacture Market Breakdown
Chapter 5 Sales & Estimates Market Study
Chapter 6 Key Manufacturers Production and Sales Market Comparison Breakdown
Chapter 8 Manufacturers, Deals and Closings Market Evaluation & Aggressiveness
Chapter 9 Key Companies Breakdown by Overall Market Size & Revenue by Type
Chapter 11 Business / Industry Chain (Value & Supply Chain Analysis)
Chapter 12 Conclusions & Appendix
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Oct 14, 2022 (The Expresswire) -- "Final Report will add the analysis of the impact of COVID-19 on this industry."
Global “Cyber WarfareMarket”2022 report presents an exclusive analysis of market size, share, revenue, production, consumption, gross margin, and price. The report offers elaborative data of leading market player's analysis and key factors that will affect the industry growth. The report provides insights into industry revenue returns, growth patterns, competitive market status, and development opportunities. The Virtual Fitness market report encompasses research methodologies, PESTLE and Porterâs Five Forces analysis, product scope, CAGR status. The report offers a quantitative analysis of key countries according to their revenue share and latest technologies advancements in each region.
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List of Top Key Players in Cyber Warfare Market Report:The survey describes the qualities of the entire company based on an industry-wide analysis: -● IBM Corp ● Boeing Corp ● DXC technology Ltd. ● Cisco Systems Corp ● Lockheed Martin Corp ● CA Technologies ● BAE system corp ● Raytheon Company ● General Dynamic Corp ● Intel Corp
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Global Cyber Warfare Market Segmentation Analysis
Global Cyber Warfare Market forecast report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.
Based on Product Type, this report shows the creation, income, cost, piece of the pie, and development pace of each kind, principally split into:● Hardware ● Software ● Services
Based on Component, Cyber Warfare is a business solution that provides an in-depth analysis of crowd movement at large gathering locations such as airports and train stations, city malls, retail stores, convention centers, stadiums, and other venues. Data from a variety of sources, including closed-circuit television cameras (CCTV), commercial off-the-shelf cameras, and first- and third-party consumer data, is processed using powerful artificial intelligence approaches to present prediction crowd flow models and customer preference patterns.
On the Basis of the End-User/Applications, this report focuses on the status and outlook for major applications production, revenue, price, market share, and growth rate:● Aerospace ● Corporate ● Government and Defense ● Homeland
Based on the End Use, the Cyber Warfare Market Trend is bifurcated into Aromatic Industries, Automotive, Building and Construction, Paints, Agrochemicals, and others. It is a low-cost solution that outperforms most composite applications in terms of price vs. performance. In the next five years, hydrocarbon resin is expected to remain the second-largest application in the worldwide Cyber Warfare Market, owing to increased usage in adhesives, coatings, printing inks, and rubber goods. Also growing construction activities will help this market is growing.
COVID-19 impact on the market
COVID-19 is an infectious disease caused by the novel coronavirus. Largely unknown before this outbreak across the world, COVID-19 has moved from a regional crisis to a global pandemic in just a matter of a few weeks. The World Health Organization (WHO) declared COVID-19 as a pandemic on March 11, 2020.
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Geographic Segment Covered in the Report:
The Cyber Warfare report provides information about the market area, which is further subdivided into sub-regions and countries/regions. In addition to the market share in each country and sub-region, this chapter of this report also contains information on profit opportunities. This chapter of the report mentions the market share and growth rate of each region, country and sub-region during the estimated period.● North America(USA and Canada) ● Europe(UK, Germany, France and the rest of Europe) ● Asia Pacific(China, Japan, India, and the rest of the Asia Pacific region) ● Latin America(Brazil, Mexico, and the rest of Latin America) ● Middle East and Africa(GCC and rest of the Middle East and Africa)
Valuable Points from Cyber Warfare Market Research Report 2022-2029:● Significant changes in Cyber Warfare Market dynamics. ● Reporting and assessment of recent industry developments. ● A complete background analysis, which includes a valuation of the parental Cyber Warfare Market. ● Current, Historical, and projected size of the Cyber Warfare Market from the viewpoint of both value and volume. ● Cyber Warfare Market segmentation according to Top Regions. ● Cyber Warfare Market shares and strategies of key Manufacturers. ● Emerging Specific segments and regional for Cyber Warfare Market. ● An objective valuation of the trajectory of the Market. ● Recommendations to Top Companies for reinforcement of their foothold in the market.
Reasons to Buy This Report:● Identification of potential suppliers as well as partnerships in the report. ● Complete understanding of the global Cyber Warfare market. ● The global Cyber Warfare market research report studies the latest global market trends, up-to-date, and thorough competitive analysis, along with various other key features of the worldwide market. ● The potential future partners, suppliers, or affiliates have also skillfully been trained in the report. ● Plan mergers and acquisitions meritoriously by identifying Top Manufacturers. ● Recognize emerging players with potentially strong product portfolios and create effective counter-strategies to gain a competitive advantage. ● Classify potential new clients or partners in the target demographic. ● Develop tactical initiatives by understanding the focus areas of leading companies.
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Detailed TOC of Global Cyber Warfare Market Research Report 2022 - Impact of COVID-19 on the Market
1 Cyber Warfare Market Overview
1.1 Product Overview and Scope of Cyber Warfare Market
1.2 Cyber Warfare Market Segment by Type
1.2.1 Global Cyber Warfare Market Sales and CAGR (%) Comparison by Type (2017-2029)
1.3 Global Cyber Warfare Market Segment by Application
1.3.1 Cyber Warfare Market Consumption (Sales) Comparison by Application (2017-2029)
1.4 Global Cyber Warfare Market, Region Wise (2017-2029)
1.4.1 Global Cyber Warfare Market Size (Revenue) and CAGR (%) Comparison by Region (2017-2029)
1.4.2 United States Cyber Warfare Market Status and Prospect (2017-2029)
1.4.3 Europe Cyber Warfare Market Status and Prospect (2017-2029)
1.4.4 China Cyber Warfare Market Status and Prospect (2017-2029)
1.4.5 Japan Cyber Warfare Market Status and Prospect (2017-2029)
1.4.6 India Cyber Warfare Market Status and Prospect (2017-2029)
1.4.7 Southeast Asia Cyber Warfare Market Status and Prospect (2017-2029)
1.4.8 Latin America Cyber Warfare Market Status and Prospect (2017-2029)
1.4.9 Middle East and Africa Cyber Warfare Market Status and Prospect (2017-2029)
1.5 Global Market Size (Revenue) of Cyber Warfare (2017-2029)
1.5.1 Global Cyber Warfare Market Revenue Status and Outlook (2017-2029)
1.5.2 Global Cyber Warfare Market Sales Status and Outlook (2017-2029)
1.6 Influence of Regional Conflicts on the Cyber Warfare Industry
1.7 Impact of Carbon Neutrality on the Cyber Warfare Industry2 Cyber Warfare Market Upstream and Downstream Analysis
2.1 Cyber Warfare Industrial Chain Analysis
2.2 Key Raw Materials Suppliers and Price Analysis
2.3 Key Raw Materials Supply and Demand Analysis
2.4 Market Concentration Rate of Raw Materials
2.5 Manufacturing Process Analysis
2.6 Manufacturing Cost Structure Analysis
2.6.1 Labor Cost Analysis
2.6.2 Energy Costs Analysis
2.6.3 RandD Costs Analysis
2.7 Major Downstream Buyers of Cyber Warfare Analysis
2.8 Impact of COVID-19 on the Industry Upstream and Downstream3 Players Profiles
3.1 IBM Corp
3.1.1 IBM Corp Basic Information, Manufacturing Base, Sales Area and Competitors
3.1.2 Product Profiles, Application and Specification
3.1.3 Cyber Warfare Market Performance (2017-2022)
3.1.4 Business Overview
3.2 Boeing Corp
3.2.1 Boeing Corp Basic Information, Manufacturing Base, Sales Area and Competitors
3.2.2 Product Profiles, Application and Specification
3.2.3 Cyber Warfare Market Performance (2017-2022)
3.2.4 Business Overview
3.3 DXC technology Ltd.
3.3.1 DXC technology Ltd. Basic Information, Manufacturing Base, Sales Area and Competitors
3.3.2 Product Profiles, Application and Specification
3.3.3 Cyber Warfare Market Performance (2017-2022)
3.3.4 Business Overview
3.4 Cisco Systems Corp
3.4.1 Cisco Systems Corp Basic Information, Manufacturing Base, Sales Area and Competitors
3.4.2 Product Profiles, Application and Specification
3.4.3 Cyber Warfare Market Performance (2017-2022)
3.4.4 Business Overview
3.5 Lockheed Martin Corp
3.5.1 Lockheed Martin Corp Basic Information, Manufacturing Base, Sales Area and Competitors
3.5.2 Product Profiles, Application and Specification
3.5.3 Cyber Warfare Market Performance (2017-2022)
3.5.4 Business Overview
3.6 CA Technologies
3.6.1 CA Technologies Basic Information, Manufacturing Base, Sales Area and Competitors
3.6.2 Product Profiles, Application and Specification
3.6.3 Cyber Warfare Market Performance (2017-2022)
3.6.4 Business Overview
3.7 BAE system corp
3.7.1 BAE system corp Basic Information, Manufacturing Base, Sales Area and Competitors
3.7.2 Product Profiles, Application and Specification
3.7.3 Cyber Warfare Market Performance (2017-2022)
3.7.4 Business Overview
3.8 Raytheon Company
3.8.1 Raytheon Company Basic Information, Manufacturing Base, Sales Area and Competitors
3.8.2 Product Profiles, Application and Specification
3.8.3 Cyber Warfare Market Performance (2017-2022)
3.8.4 Business Overview
3.9 General Dynamic Corp
3.9.1 General Dynamic Corp Basic Information, Manufacturing Base, Sales Area and Competitors
3.9.2 Product Profiles, Application and Specification
3.9.3 Cyber Warfare Market Performance (2017-2022)
3.9.4 Business Overview
3.10 Intel Corp
3.10.1 Intel Corp Basic Information, Manufacturing Base, Sales Area and Competitors
3.10.2 Product Profiles, Application and Specification
3.10.3 Cyber Warfare Market Performance (2017-2022)
3.10.4 Business Overview4 Global Cyber Warfare Market Landscape by Player
4.1 Global Cyber Warfare Sales and Share by Player (2017-2022)
4.2 Global Cyber Warfare Revenue and Market Share by Player (2017-2022)
4.3 Global Cyber Warfare Average Price by Player (2017-2022)
4.4 Global Cyber Warfare Gross Margin by Player (2017-2022)
4.5 Cyber Warfare Market Competitive Situation and Trends
4.5.1 Cyber Warfare Market Concentration Rate
4.5.2 Cyber Warfare Market Share of Top 3 and Top 6 Players
4.5.3 Mergers and Acquisitions, Expansion5 Global Cyber Warfare Sales, Revenue, Price Trend by Type
5.1 Global Cyber Warfare Sales and Market Share by Type (2017-2022)
5.2 Global Cyber Warfare Revenue and Market Share by Type (2017-2022)
5.3 Global Cyber Warfare Price by Type (2017-2022)
5.4 Global Cyber Warfare Sales, Revenue and Growth Rate by Type (2017-2022)
5.4.1 Global Cyber Warfare Sales, Revenue and Growth Rate of Hardware (2017-2022)
5.4.2 Global Cyber Warfare Sales, Revenue and Growth Rate of Software (2017-2022)
5.4.3 Global Cyber Warfare Sales, Revenue and Growth Rate of Services (2017-2022)6 Global Cyber Warfare Market Analysis by Application
6.1 Global Cyber Warfare Consumption and Market Share by Application (2017-2022)
6.2 Global Cyber Warfare Consumption Revenue and Market Share by Application (2017-2022)
6.3 Global Cyber Warfare Consumption and Growth Rate by Application (2017-2022)
6.3.1 Global Cyber Warfare Consumption and Growth Rate of Aerospace (2017-2022)
6.3.2 Global Cyber Warfare Consumption and Growth Rate of Corporate (2017-2022)
6.3.3 Global Cyber Warfare Consumption and Growth Rate of Government and Defense (2017-2022)
6.3.4 Global Cyber Warfare Consumption and Growth Rate of Homeland (2017-2022)7 Global Cyber Warfare Sales and Revenue Region Wise (2017-2022)
7.1 Global Cyber Warfare Sales and Market Share, Region Wise (2017-2022)
7.2 Global Cyber Warfare Revenue and Market Share, Region Wise (2017-2022)
7.3 Global Cyber Warfare Sales, Revenue, Price and Gross Margin (2017-2022)
7.4 United States Cyber Warfare Sales, Revenue, Price and Gross Margin (2017-2022)
7.4.1 United States Cyber Warfare Market Under COVID-19
7.5 Europe Cyber Warfare Sales, Revenue, Price and Gross Margin (2017-2022)
7.5.1 Europe Cyber Warfare Market Under COVID-19
7.6 China Cyber Warfare Sales, Revenue, Price and Gross Margin (2017-2022)
7.6.1 China Cyber Warfare Market Under COVID-19
7.7 Japan Cyber Warfare Sales, Revenue, Price and Gross Margin (2017-2022)
7.7.1 Japan Cyber Warfare Market Under COVID-19
7.8 India Cyber Warfare Sales, Revenue, Price and Gross Margin (2017-2022)
7.8.1 India Cyber Warfare Market Under COVID-19
7.9 Southeast Asia Cyber Warfare Sales, Revenue, Price and Gross Margin (2017-2022)
7.9.1 Southeast Asia Cyber Warfare Market Under COVID-19
7.10 Latin America Cyber Warfare Sales, Revenue, Price and Gross Margin (2017-2022)
7.10.1 Latin America Cyber Warfare Market Under COVID-19
7.11 Middle East and Africa Cyber Warfare Sales, Revenue, Price and Gross Margin (2017-2022)
7.11.1 Middle East and Africa Cyber Warfare Market Under COVID-198 Global Cyber Warfare Market Forecast (2022-2029)
8.1 Global Cyber Warfare Sales, Revenue Forecast (2022-2029)
8.1.1 Global Cyber Warfare Sales and Growth Rate Forecast (2022-2029)
8.1.2 Global Cyber Warfare Revenue and Growth Rate Forecast (2022-2029)
8.1.3 Global Cyber Warfare Price and Trend Forecast (2022-2029)
8.2 Global Cyber Warfare Sales and Revenue Forecast, Region Wise (2022-2029)
8.2.1 United States Cyber Warfare Sales and Revenue Forecast (2022-2029)
8.2.2 Europe Cyber Warfare Sales and Revenue Forecast (2022-2029)
8.2.3 China Cyber Warfare Sales and Revenue Forecast (2022-2029)
8.2.4 Japan Cyber Warfare Sales and Revenue Forecast (2022-2029)
8.2.5 India Cyber Warfare Sales and Revenue Forecast (2022-2029)
8.2.6 Southeast Asia Cyber Warfare Sales and Revenue Forecast (2022-2029)
8.2.7 Latin America Cyber Warfare Sales and Revenue Forecast (2022-2029)
8.2.8 Middle East and Africa Cyber Warfare Sales and Revenue Forecast (2022-2029)
8.3 Global Cyber Warfare Sales, Revenue and Price Forecast by Type (2022-2029)
8.3.1 Global Cyber Warfare Revenue and Growth Rate of Hardware (2022-2029)
8.3.2 Global Cyber Warfare Revenue and Growth Rate of Software (2022-2029)
8.3.3 Global Cyber Warfare Revenue and Growth Rate of Services (2022-2029)
8.4 Global Cyber Warfare Consumption Forecast by Application (2022-2029)
8.4.1 Global Cyber Warfare Consumption Value and Growth Rate of Aerospace (2022-2029)
8.4.2 Global Cyber Warfare Consumption Value and Growth Rate of Corporate (2022-2029)
8.4.3 Global Cyber Warfare Consumption Value and Growth Rate of Government and Defense (2022-2029)
8.4.4 Global Cyber Warfare Consumption Value and Growth Rate of Homeland (2022-2029)
8.5 Cyber Warfare Market Forecast Under COVID-199 Industry Outlook
9.1 Cyber Warfare Market Drivers Analysis
9.2 Cyber Warfare Market Restraints and Challenges
9.3 Cyber Warfare Market Opportunities Analysis
9.4 Emerging Market Trends
9.5 Cyber Warfare Industry Technology Status and Trends
9.6 News of Product Release
9.7 Consumer Preference Analysis
9.8 Cyber Warfare Industry Development Trends under COVID-19 Outbreak
9.8.1 Global COVID-19 Status Overview
9.8.2 Influence of COVID-19 Outbreak on Cyber Warfare Industry Development10 Research Findings and Conclusion11 Appendix
11.2 Research Data Source
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The president cited IBM's commitment as part of a larger manufacturing boom, spurred by this summer's passage of a $280 billion measure intended to boost the semiconductor industry and scientific research. That legislation was needed for national and economic security, Biden said in Poughkeepsie, adding that "the Chinese Communist Party actively lobbied against" it.
"The United States has to lead the world of producing these advanced chips - this law is going to make sure that it will," Biden said.The speech was part of a whirlwind trip that focused heavily on campaigning and included two fundraising events. During one, he warned that Russian President Vladimir Putin's threat about using nuclear weapons as his Ukrainian invasion has floundered is the most severe "threat of Armageddon" since Cuban Missile Crisis in 1962.
Democratic candidates have largely avoided election-year appearances with Biden, whose approval ratings remain underwater. Bucking that trend in New York were Reps. Sean Patrick Maloney and Pat Ryan, who attended the president's remarks at IBM.
The lawmakers, along with Democratic Gov. Kathy Hochul, greeted Biden upon his arrival at Stewart Air National Guard Base.
"When I heard @POTUS was looking to see the benefits of the CHIPS & Science Act first-hand, I told him that the Hudson Valley was the perfect place," Maloney wrote Wednesday on Twitter. "I'm thrilled to host him in Poughkeepsie this week to celebrate the major wins and good-paying jobs we are delivering here in NY."
The CHIPS and Science Act, which Biden signed in August, was a rare bill for which the president was able to win bipartisan support.
IBM's $20 billion investment over the next decade is intended to bolster research and development and the manufacture of semiconductors, mainframe technology, artificial intelligence and quantum computing."As we tackle large-scale technological challenges in climate, energy, transportation and more, we must continue to invest in innovation and discovery - because advanced technologies are key to solving these problems and driving economic prosperity, including better jobs, for millions of Americans," said Arvind Krishna, IBM's chairman and CEO.
IBM's commitment comes on the heels of chipmaker Micron announcing this week an investment of up to $100 billion over the next 20-plus years to build a plant in upstate New York that could create 9,000 factory jobs. In his remarks, Biden also celebrated Intel's plant groundbreaking in Ohio and an investment by WolfSpeed for chip production in North Carolina.
Maloney, chairman of the Democratic congressional campaign fundraising arm, is running against Republican state Assemblyman Mike Lawler in the 17th Congressional District. Ryan faces state Assemblyman Colin Schmitt in the 18th District.
The boundaries of most New York districts, including Maloney's and Ryan's, have been affected by redistricting.
Ryan in August won a close special election to serve out the term of Democrat Antonio Delgado, who vacated his 19th District seat after he was appointed lieutenant governor by Hochul. Ryan is running for a full term in the 18th District, where he lives.
Maloney, who had represented that district since 2013, decided to run in the 17th District. His Hudson Valley home fell inside the new boundaries after redistricting.
Hochul, who took office last year after Democrat Andrew Cuomo resigned amid sexual harassment allegations, is looking to win a full term as governor. Her opponent is Republican Rep. Lee Zeldin.
Later Thursday, Biden spoke out against Republicans at a fundraiser at the home of New Jersey Gov. Phil Murphy in support of the Democratic National Committee. The president has warned that followers of former President Donald Trump who deny the results of the 2020 presidential election are a threat to U.S. democracy, labeling them through Trump's slogan of "Make America Great Again."
"Not all Republicans are MAGA Republicans," he said, but a "good 35% are Trumpites."
In the evening, Biden attended a Democratic Senatorial Campaign Committee fundraiser in Manhattan hosted by James Murdoch, the son of News Corp. publisher Rupert Murdoch. He warned about Putin hinting in a speech last month about deploying Russia's nuclear arsenal, a possible response to the recent loss of territory to Ukrainian forces.
"We have not faced the prospect of Armageddon since Kennedy and the Cuban Missile Crisis," Biden said.
James Murdoch and his wife, Kathryn, a climate change activist, were major donors to Biden's 2020 presidential campaign. In 2020, Murdoch resigned from the board of News Corp. amid differences over editorial content at his father's company, which operates The Wall Street Journal and the New York Post. The elder Murdoch is also chairman of Fox Corp., which includes Fox News Channel.
While Biden has been kept at arms length by many Democratic candidates, he's been a prodigious fundraiser for his party this election cycle, raising more than $19.6 million for the Democratic National Committee.
Amanda “Mandy” Long, most recently vice president of information technology automation at IBM (NYSE: IBM), has joined BigBear.ai (NYSE: BBAI) as CEO and a board member.
Long succeeds Reggie Brothers, who will stay as a company adviser and transition to the role of operating partner at BigBear’s private equity owner AE Industrial Partners, the Columbia, Maryland-based company said Tuesday.
Brothers, a two-time Wash100 Award winner, has led the analytics and cyber engineering services company since its founding in December 2020.
Peter Cannito, chairman of the board at BigBear.ai, said Long brings to the company her experience in mergers and acquisitions and software products and expertise in advancing the adoption of artificial intelligence platforms, building technology portfolios and driving revenue growth.
“With Mandy at the helm, we expect to accelerate BigBear.ai’s ability to bring AI-based products to both Commercial and Federal markets as the Company transitions from a premier services and solutions provider to a technology-led, multi-market leader in AI,” Cannito added.
Long spent five years at IBM and held roles of increasing responsibility, including VP of IBM integration and application platform, general manager for IBM Watson health provider analytics and chief product and strategy officer, AI for IBM Watson. She previously served as VP of product management at Modernizing Medicine and Experian Health.
New Jersey, United States – Analysis of Healthcare Fraud Analytics Market 2022 to 2028, Size, Share, and Trends by Type, Component, Application, Opportunities, Growth Rate, and Regional Forecast
The market is expanding as a result of factors like the rising use of health insurance and the number of incidences of fraud in the healthcare sector. The increased emphasis on reducing healthcare expenditures as well as technical improvements that have led to the introduction of enhanced analytical techniques are additional factors that are anticipated to fuel market expansion. The amount of compromised records and the severity of these breaches increased rapidly during the COVID-19 pandemic, despite a general reduction in the number of breach occurrences throughout the private and public sectors, according to IBM Security’s X-Force Threat Intelligence Index. As a result, software and services for analysing healthcare fraud were adopted during the pandemic as well, promoting market growth in 2020 and 2021.
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The Healthcare Fraud Analytics market, which was valued at US$ million in 2022, is expected to grow at a CAGR of approximately percent over the forecast period, according to our most recent report.
The National Healthcare Anti-Fraud Association claims that, Due to fraud, American taxpayers spend close to USD 68 billion annually. A costly expenditure is required to cover the risk of receiving a medical service that is either unnecessary or nonexistent as a result of patient or provider deception. Clinicians and medical consultants should concentrate on enhancing access to resources for chronic and urgent care, which can enhance the quality of care by applying data science, machine learning, and artificial intelligence-based solutions, rather than spending money looking for the problem areas. Therefore, the adoption of cutting-edge technical solutions fuels market expansion.
Access the Premium report 2022 with an in-depth TOC (Figures, Tables, Pages).
Solution type insights:
Due to its widespread use and simplicity of use, the descriptive analytics market category maintained the biggest market share of about 40.0% in 2022. It makes use of both recent and old data for the identification of trends and relationships. This improves the process of identifying potential scams. Additionally, it serves as a foundation for the efficient use of prescriptive and predictive analytics. This helps the segment’s expansion even more.
Predictive analytics is expected to increase at the quickest rate over the forecasted timeframe. Detecting fraud before claims are paid is the most efficient approach to stop it. Healthcare payers have begun implementing predictive analytics solutions as a result. These techniques locate the possibly fraudulent tendencies and then create some guidelines to mark particular claims as a suspect.
Delivery model insights:
Due to the ease of access to data being on-site, i.e., hospitals, etc. The on-premise sector had the highest revenue share of more than 51% in 2022. It, among other things, has led to improved record keeping and data monitoring. The current technologies are useful in small businesses, but when scaled up, they can make data management challenging and laborious if the firm is working with a sizable dataset. This could entail a substantial financial outlay for the security and storage of data.
In 2022, North America held a 38% share of the worldwide market, dominating it. This is because healthcare costs are rising, more people are using healthcare IT, and there are more fraud incidents. Data from the National Library of Medicine shows that the North American region is where fraud is most prevalent, followed by Europe and the Asia Pacific region in the year 2022. Due to the growing acceptance of technologically advanced solutions, the Asia Pacific area is predicted to experience the fastest growth rate—roughly 26.7%—during the anticipated time frame.
Some of the key players in the market are:
• Optum, Inc.
• Cotiviti, Inc
• DXC Technology
• SAS Institute, Inc.
• EXL Service Holdings, Inc.
• Wipro Limited
• Conduent, Inc
• HCL Technologies Limited
• OSP Labs
Click here to get the full index of the Healthcare Fraud Analytics market research report 2022
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Market insights reports recently added a new report on Global Marketing Analytics Market, which an in-depth study is providing complete study of the industry for the period 2022 to 2027. It provides complete overview of Global Marketing Analytics Market industry as all the major industry trends, market subtleties and good set-up. Besides this, the report also provides key statistics on the Marketing Analytics Market status of the leading market players, key trends, and potential growth openings in the market. These study reports are planned with the goal to help the reader in favorable Boost data and make decisions that are helpful to grow their business.
The Marketing Analytics Market was valued at USD 2.13 billion in 2020 and is expected to reach USD 4.68 billion by 2027, at a CAGR of 14% over the forecast period (2022 – 2027) .
Click here to get the latest trial PDF copy of the report: –
The major players covered in the reports are:
– IBM Corporation
– Microsoft Corporation
– Oracle Corporation
– Salesforce.Com Inc.
– Accenture PLC
– Adobe Systems Incorporated
– SAS Institute Inc.
– Teradata Corporation
– Neustar, Inc.
– Pegasystems Inc.
– Tableau Software
– Google LLC
They said research study covers in-depth analysis of multiple market segments based on type, application, and studies different topographies. The report is also inclusive of competitive profiling of the leading Marketing Analytics Market product vendors, and their latest developments. This report has been segmented by type, by application and by geography and also includes the market size and forecast for all these segments. Compounded annual growth rates for all segments have also been provided for 2022 to 2027.
Browse the full report description and summary: –
Regional Analysis: –
Major regions covered in the report include North America, Asia Pacific, Europe, East & Africa, and South America. In addition, the report provides country level analysis for 25+ major countries including US, Germany, UK, Japan, China, India, UAE, South Korea, South Africa, and Brazil. Regional analysis provides regional as well as country level information about the market highlighting the dynamics of the market by various segments covered in the report.
Industry News and Updates:
In Jul 2017, Teradata announced the acquisition of StackIQ, a prominent developer of cloud analytics software, which has managed the deployment of cloud and analytics software at millions of servers in data centers around the world. The acquisition is expected to strengthen the R&D capabilities of the company. Further In Jun 2018, Microsoft signed a MoU with New Sales Wales to trial a major data science project based on procurement analytics.
Some of the key questions answered in this report:
Highlights of Global Marketing Analytics Market Report: –
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A leading provider of Financial Performance Management solutions seeks a strong technical IBM Planning Analytics (TM1) Consultant/Developer to build TM1 cubes, dimensions and rules and setup ETL processes while also engaging with clients to understand their requirements. You will support the existing client base, as well as implement new solutions at new clients. The successful incumbent must at least have 1st-year tertiary level in Accounting and Information Systems or Computer Science. You will require 3+ years’ experience building TM1 models and dealt with clients, 2+ years’ experience & understanding of SQL fundamentals and able to write complex SQL queries and 2+ years’ Excel and VBA. You also need a strong understanding of the fundamentals of financial accounting, systems design and implementation.
While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.
When applying for jobs, ensure that you have the minimum job requirements. OnlySA Citizens will be considered for this role. If you are not in the mentioned location of any of the jobs, please note your relocation plans in all applications for jobs and correspondence. Please e-mail a word copy of your CV to [Email Address Removed] and mention the reference numbers of the jobs. We have a list of jobs on [URL Removed] Datafin IT Recruitment – Cape Town Jobs.
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