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Advanced Authentication Market – Growth, Trends and Forecast (2019 – 2024)
| Information & Communications Technology | Published by: Mordor Intelligence | Market: |
| 120 pages | Published: 11-06-2019 |
- Information & Communications Technology
- Mordor Intelligence
- 120 pages
- Published: 11-06-2019
Market Overview
The global advanced authentication market was valued at USD 8.6 billion and is estimated to register a CAGR of 13.4% over the forecast period (2019-2024). Security threats have been increasing continuously. Hackers are finding new ways to steal the data while new viruses are being developed to steal sensitive information from enterprises and individual users. With most of the users now preferring to perform transactions online, it becomes imperative of the organization to deploy authentication solutions, which help in convenient and secure access.
Every organization needs a reliable security system as a way to confirm the truth of something or the identity of a person. The basic or traditional password method is too often breached or copied/shared, thereby exposing data to theft or malicious intrusions.
The other factor contributing to the growth of the advanced authentication solutions market is the increased adoption of mobility. Enterprises are feeling pressure to enable employees, partners and other stakeholders to access more sensitive information from anywhere and any device. This is making advanced authentication systems a critical aspect of an enterprise’s organizational strategy.
Vendors of advanced authentication solutions are developing and improving their existing authentication methods. Some of the most commonly used authentication methods are biometrics, smartcards, tokens, and several others for mitigating security risks.
Scope of the Report
Advanced authentication provides a central place for all authentication policies to be managed. This is important because organizations are usually forced to operate and maintain multiple infrastructures. Advanced authentication/two-factor authentication/multifactor authentication requires an additional separate factor or credential to complete the log-in or transaction process.
Key Market Trends
Biometrics to hold Major Share
Biometrics analyze and verify/authenticate individuals based on human physical characteristics, such as fingerprint, retina, iris, palm, speech, and voice, among others.
This method of authentication has been widely adopted, owing to the key advantages it offers, namely its non-repudiation, non-transferable, and non-identifiable nature, thus providing a high level of protection against fraud.
The technology has found successful implementation across various end users, such as forensics, governments, banking and financial institutions, and enterprise identity management, among others. Moreover, the widespread availability of fingerprint sensors in affordable mobile devices and government national ID programs have been instrumental in increasing the awareness and adoption of this technology.
India to Exhibit Highest Growth
India experienced a 68% rise in cybercrime registration from 2010-2016 and ranks 5th in the world regarding DNS hijacks. As a result, efforts are on from the government’s end and from the enterprises in combating the threat. With campaigns like the massive “Digital India Initiative,” the government is preparing itself to fight cybercrime with robust regulations, legal frameworks, and implementable laws. Government’s recent step toward money demonetization led to a revolutionary change in the Indian banking industry. As a result, 43.7 million Indian users now use mobile banking, which poses a potential opportunity for the market.
Competitive Landscape
The advanced authentication market is highly competitive and consists of several major players. In terms of market share, few of the major players currently dominate the market. These major players with a prominent share in the market are focusing on expanding their customer base across foreign countries. These companies are leveraging on strategic collaborative initiatives to increase their market share and profitability. In Jan 2018, Gemalto announced PURE white-label payment solution services to GhIPSS (Ghana Interbank Payment and Settlement Systems), a subsidiary of Ghana’s central bank that manages the country’s interbank payment processing system. This operation is expected to increase the visibility of the company in the African region. In the same month, HID Global announced that its HID Approve two-factor mobile authentication and verification platform supports Apple’s iPhone X Face ID facial recognition system. The company expects facial recognition to play an increasingly significant role in its authentication offering, combined with threat and fraud detection.
Reasons to Purchase this report:
– The market estimate (ME) sheet in Excel format
– Report customization as per the client’s requirements
– 3 months of analyst support
1 INTRODUCTION
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Increased Number of Cloud Users And Datacentres
4.3.2 Increasing Number of Security Breaches And Related Costs
4.4 Market Restraints
4.4.1 High Upgrade and Replacement Costs
4.5 Value Chain Analysis
4.6 Industry Attractiveness Porter’s Five Forces Analysis
4.6.1 Threat of New Entrants
4.6.2 Bargaining Power of Buyers/Consumers
4.6.3 Bargaining Power of Suppliers
4.6.4 Threat of Substitute Products
4.6.5 Intensity of Competitive Rivalry
4.7 Government Policies and Industry Regulations
5 TECHNOLOGY SNAPSHOT
5.1 Technology Overview
5.2 Deployment Methods
5.3 Different Authentication Methods
6 MARKET SEGMENTATION
6.1 By Authentication Methods
6.1.1 Smart Cards
6.1.2 Biometrics
6.1.3 Mobile Smart Credentials
6.1.4 Tokens
6.1.5 User-based Public Key Infrastructure
6.1.6 Other Methods
6.2 By End-user Industry
6.2.1 Banking/Financial Services
6.2.2 Healthcare
6.2.3 Government
6.2.4 Defense
6.2.5 IT and Telecom
6.2.6 Other End-user Industries
6.3 Geography
6.3.1 North America
6.3.1.1 United States
6.3.1.2 Canada
6.3.2 Europe
6.3.2.1 United Kingdom
6.3.2.2 Germany
6.3.2.3 France
6.3.2.4 Italy
6.3.2.5 Rest of Europe
6.3.3 Asia-Pacific
6.3.3.1 China
6.3.3.2 India
6.3.3.3 Japan
6.3.3.4 Australia
6.3.3.5 Rest of Asia-Pacific
6.3.4 Latin America
6.3.4.1 Brazil
6.3.4.2 Argentina
6.3.4.3 Rest of Latin America
6.3.5 Middle East & Africa
6.3.5.1 United Arab Emirates
6.3.5.2 Saudi Arabia
6.3.5.3 South Africa
7 COMPETITIVE LANDSCAPE
7.1 Vendor Market Share
7.2 Company Profiles
7.2.1 Fujitsu Ltd.
7.2.2 Gemalto N.V
7.2.3 NEC Corp.
7.2.4 CA Technologies
7.2.5 Safran Identity and Security SAS
7.2.6 Dell Technologies Inc.
7.2.7 Lumidigm Inc.
7.2.8 Validsoft
7.2.9 Pistolstar
7.2.10 Securenvoy
8 INVESTMENT ANALYSIS
9 MARKET OPPORTUNITIES AND FUTURE TRENDS
MARKET SEGMENTATION
By Authentication Methods
Smart Cards
Biometrics
Mobile Smart Credentials
Tokens
User-based Public Key Infrastructure
Other Methods
By End-user Industry
Banking/Financial Services
Healthcare
Government
Defense
IT and Telecom
Other End-user Industries
Geography
North America
United States
Canada
Europe
United Kingdom
Germany
France
Italy
Rest of Europe
Asia-Pacific
China
India
Japan
Australia
Rest of Asia-Pacific
Latin America
Brazil
Argentina
Rest of Latin America
Middle East & Africa
United Arab Emirates
Saudi Arabia
South Africa
Artificial Intelligence in Life Sciences Market – Growth, Trends, and Forecast (2019 – 2024)
| Information & Communications Technology | Published by: Mordor Intelligence | Market: |
| 100 pages | Published: 12-06-2019 |
- Information & Communications Technology
- Mordor Intelligence
- 100 pages
- Published: 12-06-2019
Market Overview
Artificial Intelligence in Life Sciences Market was valued at USD 902.1 million is expected to grow at a CAGR of over 21.1% during the forecast period (2019-2024). Although artificial intelligence has been in the market in the late 1950s, the technology has become commercially accessible in the past few years. The primary reason for this accelerated growth in recent years is the massive availability of data in the life sciences sector.
As AI operates on large sets of data, the availability of such data becomes a key factor for establishing a suitable environment for the growth of AI-based solutions. With innovations in mobile technology and sensors, even the present day’s wearables like smartwatches and fitness trackers, have enough computing power to generate and process vast amounts of data.
In fact, according to the recent estimates of Consumer Technology Association, a prominent standard and trade organization for the consumer electronics industry based in the United States, health and fitness trackers accounted for more than 47% of the wearables devices sold in 2017. This scenario coupled with several medical devices used in healthcare sector generates huge sets of data that could make use of AI to derive useful results.
AI is increasingly becoming popular in drug discovery, personalized medicine, biotechnology, and clinical trials. With increasing healthcare spending in almost all parts of the world, the pharmaceutical industry has been involved in extreme R&D activities in the past few years.
Scope of the Report
Artificial Intelligence (AI) is a highly data-driven technology. In the life sciences sector, it is generally employed to make meaningful relations from loosely coupled data. With the advent of the third wave of AI, it is estimated that advanced AI solutions in the current market scenario can learn and evolve as they are being used.
Key Market Trends
Clinical Trails to Hold Significant Share
Clinical trials are one of the most data-intensive tasks in the life sciences industry. They generate vast sets of data every day monitoring several variables of a patient under observation. Subjecting these data sets to intelligent AI algorithms can help the researchers to screen meaningful correlation even between loosely coupled data.
This is encouraging many pharmaceutical companies and clinical research organizations to invest in technologies, like artificial intelligence. In the current market scenario, rapid adoption of AI is widely seen in the pharmaceutical sector, who are responsible for almost 50% of the clinical trials conducted globally every year.
Novartis claims that the deployment of QuantamBlack’s solutions has reduced patient enrolment times by 10-15%. Additionally, as of March 2018, the company has entered a partnership with IBM to make use of IBMs AI platform, IBM-Watson, to improve clinical trial recruitment, and make use of intelligent AI algorithms to predict medication efficacy.
Such initiatives are encouraging many companies to invest in AI solutions tailor-made for clinical trials. Many prominent companies, such as GlaxoSmithKline, Sanofi, Pfizer Mitsubishi Tanabe Pharma, and Genentech among others, are investing in AI-based clinical trails startups and solutions to make clinical trials more affordable.
India to Exhibit Highest Growth
India, the third-largest pharmaceutical market in Asia, is increasingly gaining much-needed government focus on expanding affordable health care. As part of the Union Budget FY19, the government announced the world’s largest National Health Protection Scheme, for which the government set aside an investment worth USD 307.6 million, to provide coverage of up to USD 7,690 per year, to 500 million people belonging to financially vulnerable households, for the treatment of serious ailments. Simultaneously, AI and machine learning have already started penetrating various industries across India, with healthcare being one of the biggest beneficiaries of the AI revolution. According to a report by CIS India published in 2018, AI could help add USD 957 billion to the Indian economy by 2035. In the July-September 2017 quarter, around 16 Indian healthcare IT companies received funding. The adoption of AI in life sciences in India is being driven by the likes of Microsoft, and a slew of health-tech startups.
Competitive Landscape
The artificial intelligence in the life sciences market has been gaining a competitive edge in recent years. In terms of market share, few of the major players currently dominate the market. These major players with a prominent share in the market are focusing on expanding their customer base across foreign countries. These companies are leveraging on strategic collaborative initiatives to increase their market share and increase their profitability. In Oct 2018, Lifegraph launched their new app on the Google Play Store. It uses AI in the core to forecast the state of patient health. The app named Lifegraph – AI technology for migraine management, was launched to help track changes in the behavior and weather throughout the day and, using machine learning, predicts an imminent attack for actionable self-care.
Reasons to Purchase this report:
– The market estimate (ME) sheet in Excel format
– Report customization as per the client’s requirements
– 3 months of analyst support
1 INTRODUCTION
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Rising Adoption Of Ai In The Field Of R&D
4.3.2 High Emphasis On The Development Of Precision Medicine And Personalized Drugs
4.3.3 Increasing Demand For AI In Drug Discovery
4.4 Market Restraints
4.4.1 High Initial Costs And Concerns Over The Replacement Of Human Workforce
4.5 Technology Snapshot
4.6 Industry Attractiveness Porters Five Force Analysis
4.6.1 Threat of New Entrants
4.6.2 Bargaining Power of Buyers/Consumers
4.6.3 Bargaining Power of Suppliers
4.6.4 Threat of Substitute Products
4.6.5 Intensity of Competitive Rivalry
5 MARKET SEGMENTATION
5.1 By Application
5.1.1 Drug Discovery
5.1.2 Medical Diagnosis
5.1.3 Biotechnology
5.1.4 Clinical Trails
5.1.5 Precision and Personalized Medicine
5.1.6 Patient Monitoring
5.2 Geography
5.2.1 North America
5.2.1.1 US
5.2.1.2 Canada
5.2.2 Europe
5.2.2.1 Germany
5.2.2.2 UK
5.2.2.3 France
5.2.2.4 Rest of Europe
5.2.3 Asia Pacific
5.2.3.1 China
5.2.3.2 Japan
5.2.3.3 India
5.2.3.4 South Korea
5.2.3.5 Rest of Asia-Pacific
5.2.4 Rest of the World
6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 IBM Corporation
6.1.2 NuMedii Inc.
6.1.3 Atomwise Inc
6.1.4 Lifegraph
6.1.5 Cyrcadia Health Inc.
6.1.6 Numerate Inc.
6.1.7 Sensely Inc.
6.1.8 Sophia Genetics SA
6.1.9 Insilico Medicine Inc.
6.1.10 Enlitic Inc.
6.1.11 APIXIO Inc.
6.1.12 Zebra Medical Vision
6.1.13 Lifegraph Limited
6.1.14 twoXAR Inc.
6.1.15 AiCure LLC
7 MARKET OPPORTUNITIES AND FUTURE TRENDS
7.1 Investment Scenario
MARKET SEGMENTATION
By Application
Drug Discovery
Medical Diagnosis
Biotechnology
Clinical Trails
Precision and Personalized Medicine
Patient Monitoring
Geography
North America
US
Canada
Europe
Germany
UK
France
Rest of Europe
Asia Pacific
China
Japan
India
South Korea
Rest of Asia-Pacific
Rest of the World
Big Data Analytics in Manufacturing Industry Market – Growth, Trends, and Forecast (2019 – 2024)
| Information & Communications Technology | Published by: Mordor Intelligence | Market: |
| 100 pages | Published: 12-06-2019 |
- Information & Communications Technology
- Mordor Intelligence
- 100 pages
- Published: 12-06-2019
Market Overview
The Big Data Analytics In Manufacturing Industry Market is expected to register a CAGR of over 30.9% during the forecast period 2019 – 2024. With the high rate of adoption of sensors and connected devices and the enabling of M2M communication, there has been a massive increase in the data points that are generated in the manufacturing industry. These data points could be of various types, ranging from a metric detailing the time taken for a material to pass through one process cycle or a more complex one, such as the calculation of the material stress capability in the automotive industry.
Manufacturing is a crucial component of a company’s end-to-end supply chain. The value chain participants, like Raw material suppliers, Inventory managers, and Manufacturers have moved from manual product, tracking to the use of barcode scanners and investing in technologies, like RFID and sensors to monitor the stock, production processes, and ascertain when maintenance is required and to take action before the production quality is affected. Such technology adoption was made to monitor aging manufacturing equipment, in order to avoid production downtime, which could be as high as EUR 180 billion (for Britain’s manufacturers, according to Oneserve, the field service management company).
In addition to monitoring the asserts, these technologies are being used to gain information about the location of raw materials and finished products within the production facility, to know the status of the availability status (both volume and location data). In addition, advancement in UHF technology has made creating RFID systems more efficient and evolved in such a way that they are able to identify raw material/product specifications like SKU, color, and type thus improving the traceability throughout the supply chain.
Manufacturing is one of the most targeted industries by cyber attackers owing to the presence of vital data related to company and government. According to EEF (formerly the Engineering Employers’ Federation), over 45% of the manufacturers have been subjected to a cybersecurity incident.
With the increasing integration of technological advancements in the manufacturing industry, the security concerns are also ascending at a significant pace.
Scope of the Report
The manufacturing industry has evolved since the last industrial revolution. Technology has played a critical role in shaping the modern manufacturing industry. With the introduction of Industry 4.0, the production establishments took a step forward and implemented many IoT and IIoT solutions to get live feedback from factories and working environments. With the implementation of Machine to Machine services and telematics solutions in production establishments, the industry has moved from the traditional value chain to technology, asset, and engineering-oriented value chain
Key Market Trends
Condition Monitoring is expected to register a Significant Growth
Condition monitoring or the act of monitoring the condition of an asset, especially through real-time data points, forms the foundation of what has become known as Industry 4.0, in its basic form. An integral part of condition monitoring, within the IIoT ecosystem, is providing data that can then be used for Predictive Maintenance (PdM) and many more smart factory applications, such as Digital Twin.
Big data analytics, especially with predictive analytics, is a growing trend and often prompts discussions around centralizing data across multiple sites, so that the consistency of data is achieved. However, a significant roadblock remains the inability of many customers to convert the flood of new data into actionable information. Big Data systems need to monitor machine failures repeatedly before they can analyze adequately and predict effectively for the future.
For instance, overhead conveyor systems are used in assembly production lines in the automotive and other manufacturing industries. The failure of single support frames can lead to the disruption of entire production lines. A condition monitoring system based on big data analytics detects the problem at an early stage and, thus, prevents unplanned downtime.
North America is Expected to Hold Major Share
North America is among the lead innovators and pioneers, in terms of adoption, for big data analytics in the manufacturing industry, and is expected to hold a significant share over the forecast period. Manufacturing sector adds a lot of value to the US economy. According to Trading Economics, GDP from manufacturing in the United States increased to USD 2125.80 billion in the second quarter of 2018, from USD 2113.80 billion in the first quarter of 2018.
The manufacturing sector is also forecast to increase faster than the general economy. According to the MAPI (Manufacturers Alliance for Productivity and Innovation) foundation, production will grow by 2.8% from 2018 to 2021. According to the Digital Change Survey done by IFS in 2017, to assess the maturity of digital transformation in a range of sectors, such as manufacturing, oil and gas, aviation, construction and contracting, 46% of the companies in all industries are looking to invest in the big data and analytics.
American multinational corporation, Intel is finding significant value in big data. The company uses big data to develop chips faster, identify manufacturing glitches, and warn about security threats.
Competitive Landscape
The Big Data Analytics In Manufacturing Industry Market is highly competitive and consists of several major players. In terms of market share, few of the major players currently dominate the market. These major players with a prominent share in the market are focusing on expanding their customer base across foreign countries. These companies are leveraging on strategic collaborative initiatives to increase their market share and increase their profitability. The companies operating in the market are also acquiring start-ups working on big data analytics in manufacturing technologies to strengthen their product capabilities. In January 2018, Datawatch has completed the acquisition of Angoss Software. This acquisition is expected to help the company to expand data science capabilities, which will enable the data scientists to perform predictive and prescriptive analytics in a wide variety of enterprise applications.
Reasons to Purchase this report:
– The market estimate (ME) sheet in Excel format
– Report customization as per the client’s requirements
– 3 months of analyst support
1 INTRODUCTION
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Evolving Value Chains
4.3.2 Rapid Industrial Automation Led by Industry 4.0
4.4 Market Restraints
4.4.1 Lack of Awareness and Security Concerns
4.5 Value Chain / Supply Chain Analysis
4.6 Industry Attractiveness Porters Five Force Analysis
4.6.1 Threat of New Entrants
4.6.2 Bargaining Power of Buyers/Consumers
4.6.3 Bargaining Power of Suppliers
4.6.4 Threat of Substitute Products
4.6.5 Intensity of Competitive Rivalry
5 MARKET SEGMENTATION
5.1 By End User
5.1.1 Semiconductor
5.1.2 Aerospace
5.1.3 Automotive
5.1.4 Other End Users
5.2 By Application
5.2.1 Condition Monitoring
5.2.2 Quality Management
5.2.3 Inventory Management
5.2.4 Other Applications
5.3 Geography
5.3.1 North America
5.3.2 Europe
5.3.3 Asia Pacific
5.3.4 Latin America
5.3.5 Middle East and Africa
6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 Fair Isaac Corporation
6.1.2 Angoss Software Corporation
6.1.3 Alteryx Inc.
6.1.4 IBM Corporation
6.1.5 Microsoft Corporation
6.1.6 Tibco Software Inc. (Alpine Data)
6.1.7 SAS Institute Inc.
6.1.8 SAP SE
6.1.9 Oracle Corporation
6.1.10 RapidMiner Inc.
6.1.11 MicroStrategy Incorporated
6.1.12 Knime AG
7 INVESTMENT ANALYSIS
8 MARKET OPPORTUNITIES AND FUTURE TRENDS
MARKET SEGMENTATION
By End User
Semiconductor
Aerospace
Automotive
Other End Users
By Application
Condition Monitoring
Quality Management
Inventory Management
Other Applications
Geography
North America
Europe
Asia Pacific
Latin America
Middle East and Africa
Natural Language Processing Market – Growth, Trends, and Forecast (2019 – 2024)
| Information & Communications Technology | Published by: Mordor Intelligence | Market: |
| 100 pages | Published: 12-06-2019 |
- Information & Communications Technology
- Mordor Intelligence
- 100 pages
- Published: 12-06-2019
Market Overview
The Natural Language Processing Market is expected to register a CAGR of over 22.5% during the forecast period 2019 – 2024. Over the past few years, deep learning architectures and algorithms have made impressive advances in the fields of image recognition and speech processing. The application to natural language processing (NLP) has proven to make significant contributions, yielding state-of-the-art results for some complex NLP application tasks.
Using the Internet and an ever-expanding means of communication, consumption, and interaction have empowered consumers. Companies have been forced to rethink their branding and business models. In today’s competitive marketplace, attracting customers from competitors requires more than the dominant product-centric or company-centric model.
These channels offer businesses opportunities to implement AI-powered chatbots that are proficient at dealing with inquiries. In some cases, they can even predict a customer’s next action and pre-empt inquiries with proactive communication.
The IIoT is driving unprecedented disruption in the industry that was hampered by a shortage of skilled workforce. The technology is also set to aid cost efficiency in the industry. Technical skills are needed to implement, develop, road map infrastructure, manage security, and capture and analyze data. Experienced developers who are well versed with styles, languages, and mechanisms of different applications are vital for the implementation of NLP. There is a lack of such trained professional across industries.
The transition from the existing legacy system to SaaS platforms is an expensive process, involving technical and non-technical resources and challenges. Also, the lack of understanding of cloud computing migration leads to many migration failures in achieving organization goals. These challenges of modernizing the existing legacy systems and high software migrating cost are hindering the growth of the market studied.
Scope of the Report
Natural language processing (NLP) is a well-known artificial intelligence feature that is being implemented universally, through consumer digital assistants and chat-bots, along with commercial applications in the field of textual analysis, voice sense (speech analysis), sentimental analysis, and change impact analysis.
Key Market Trends
Speech Analytics is expected to register a Significant Growth
Speech analytical solutions can enable users to gain insights, to make critical business decisions, by providing more in-depth and faster analysis of voice data, with context and relevance, across multiple channels. Speech analytics solutions are gaining immense importance in enterprises across the world since the traditional text-based analytics solutions used by enterprises are no longer enough to handle complex business issues.
Many enterprises have implemented speech analytics through a combination of internally recorded data, social media data, and external syndicated data, to create cutting-edge analytics solutions in order to gain a better understanding of their customer requirements.
The on-premises speech analytics market is dominating, as organizations with complex IT structures requiring a high number of integrations (with other applications, such as marketing, CRM, sales support, and technical support tools) usually prefer the on-premise model to mitigate compatibility issues.
However, growing investment in cloud technologies is estimated to shift the trend on cloud speech analytics platforms. Additionally, the on-cloud model offers automatic updates, increased scope for collaboration, and scalability benefits over other deployment models.
North America is Expected to Have Highest Market Share
The rising big data volume coupled with the increasing demand to enhance consumer satisfaction in the United States is expected to drive the NLP market growth in the country. The country is focusing on its defense sector, primarily associated with technological advancements. In September 2018, the defense advanced research projects agency (DARPA) announced to boost its investment in AI, over the next five years, worth USD 2 billion. As a result, it is likely to have a positive impact on the NLP market growth in the country over the forecast period.
In addition, in May 2018, the United States and the United Kingdom launched an AI hub to innovate new disruptive technologies for security and defense applications, which would bolster the advanced utilization of NLP.
Furthermore, the increasing demand for speech analytics in the United States has compelled the companies to form partnerships and offer exceptional services. For instance, in August 2018, Amazon and Microsoft launched Cortana-Alexa public preview for Windows 10 PCs and Echo speakers in the United States, which would allow the customers to have the benefits of both the assistants at the same time. Thus, it will create an enhanced customer experience with diverse added benefits, thereby, attracting more consumers, which in turn is projected to have a positive impact on the market growth in the country.
Competitive Landscape
The Natural Language Processing Market is highly competitive and consists of several major players. In terms of market share, few of the major players currently dominate the market. These major players with a prominent share in the market are focusing on expanding their customer base across foreign countries. These companies are leveraging on strategic collaborative initiatives to increase their market share and increase their profitability. The companies operating in the market are also acquiring start-ups working on natural language processing technologies to strengthen their product capabilities. In April 2018, Microsoft acquired Semantic Machines. The motto behind the acquisition was to build voice AIs closer to that of humans. The company plans to establish a conversational AI center of excellence in Berkeley, California, in order to experiment and integrate ‘natural language processing (NLP) technology’ in its products, like Cortana.
Reasons to Purchase this report:
– The market estimate (ME) sheet in Excel format
– Report customization as per the client’s requirements
– 3 months of analyst support
1 INTRODUCTION
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Market Drivers
4.2.1 Shifting Trend from Product-centric to Customer-centric Experience
4.2.2 Increasing Demand for Smart Devices across Industrial Internet of Things (IIoT)
4.2.3 Significant Advancement in Machine-to-Machine Communication Technology
4.2.4 Increasing Amount of Digital Data with the Rise in Use of Smart Devices
4.3 Market Restraints
4.3.1 Lack of Skilled Professionals Across the Industry
4.3.2 Complexity in the Shift from Traditional to Advanced Technology, due to Fluctuating Customer Adoption Trends.
4.3.3 Need for Effective Predictive Technologies, to Narrow the Gap between Machines and Humans
4.4 Value Chain / Supply Chain Analysis
4.5 Porters 5 Force Analysis
4.5.1 Threat of New Entrants
4.5.2 Bargaining Power of Buyers/Consumers
4.5.3 Bargaining Power of Suppliers
4.5.4 Threat of Substitute Products
4.5.5 Intensity of Competitive Rivalry
5 MARKET SEGMENTATION
5.1 By Application
5.1.1 Speech Analytics
5.1.2 Text Analytics
5.1.3 Sentiment Analysis
5.1.4 Pattern and Image Recognition
5.1.5 Interactive Voice Response (IVR)
5.1.6 Optical Character Recognition (OCR)
5.2 By Deployment
5.2.1 Public Cloud
5.2.2 Private Cloud
5.2.3 Hybrid Cloud
5.4 By End-user Industry
5.4.1 IT and Telecom
5.4.2 Healthcare
5.4.3 Retail
5.4.4 BFSI
5.4.5 Other End-user Industries (Manufacturing, Media and Entertainment, Research and Education)
5.5 By Technology
5.5.1 Recognition
5.5.2 Operational
5.5.3 Analytical
5.6 By Services
5.7 Geography
5.7.1 North America
5.7.1.1 US
5.7.1.2 Canada
5.7.1.3 Rest of North America
5.7.2 Europe
5.7.2.1 Germany
5.7.2.2 UK
5.7.2.3 France
5.7.2.4 Rest of Europe
5.7.3 Asia Pacific
5.7.3.1 India
5.7.3.2 China
5.7.3.3 Japan
5.7.3.4 Rest of Asia Pacific
5.7.4 Rest of the World
6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 Google Inc.
6.1.2 Microsoft Corporation
6.1.3 3M Company
6.1.4 SAS Institute Inc.
6.1.5 IBM Corporation
6.1.6 NetBase Solutions Inc.
6.1.7 Verint System Inc
6.1.8 Genpact Limited
6.1.9 Adobe Systems Incorporated
6.1.10 Intel Corporation
6.1.11 Nvidia Corporation
6.1.12 Amazon Web Services Inc.
6.1.13 AppOrchid Inc.
6.1.14 Inbenta Technologies Inc.
6.1.15 Veritone Inc.
6.1.16 SAP SE
6.1.17 Salesforce.com Inc.
6.1.18 Rasa Technologies GmbH
6.1.19 Babylon Healthcare Services Limited
6.1.20 Klevu Oy
6.1.21 Micro Focus International PLC (HPE)
7 INVESTMENT ANALYSIS
8 MARKET OPPORTUNITIES AND FUTURE TRENDS
MARKET SEGMENTATION
By Application
Speech Analytics
Text Analytics
Sentiment Analysis
Pattern and Image Recognition
Interactive Voice Response (IVR)
Optical Character Recognition (OCR)
By Deployment
Public Cloud
Private Cloud
Hybrid Cloud
By End-user Industry
IT and Telecom
Healthcare
Retail
BFSI
Other End-user Industries (Manufacturing, Media and Entertainment, Research and Education)
By Technology
Recognition
Operational
Analytical
By Services
Geography
North America
US
Canada
Rest of North America
Europe
Germany
UK
France
Rest of Europe
Asia Pacific
India
China
Japan
Rest of Asia Pacific
Rest of the World
South and Central America Smart Meters Market – Growth Trends and Forecasts (2019 – 2024)
| Information & Communications Technology | Published by: Mordor Intelligence | Market: |
| 90 pages | Published: 12-06-2019 |
- Information & Communications Technology
- Mordor Intelligence
- 90 pages
- Published: 12-06-2019
Market Overview
The South and Central America Smart Meter Market is expected to register a CAGR of over 21.1% during the forecast period 2019 – 2024. The market is primarily driven by governmental roll-outs for large-scale incorporations, in the absence of which, the primary drivers are theft prevention and reduction of other non-technical loses, along with functionality improvements, such as the ability to control utilities remotely and time-based tariffs. However, countries lacking supporting legislation are witnessing slow growth in the market, with patchy implementation of the technology. This also inhibits these systems from performing at their optimal level.
South & Central America is witnessing a rapid increase in the population migrating to urban cities. Given the rising need to reduce global energy demand by one-third by adopting energy efficient practices, a number of initiatives by the governments are helping promote energy efficiency initiatives across the region.
Deployment of smart grids and smart metering systems provides solutions to curb energy wastage in industries. Implementation of smart metering systems enables energy suppliers to continuously monitor the electricity usage, by employing smart meter systems at multiple points within the grid.
With innovations in technology, new meters with improved efficiency are expected to be employed. Consumers and governments around the world, including energy producers and suppliers, have realized the advantages of employing smart metering systems and are pushing toward their deployment.
The most prominent limitation in the smart metering market is the unavailability of capital funding. Smart systems are comparatively expensive than the regular metering equipment employed by most of service providers and users. Smart metering systems utilize digital components and connectivity systems that enable them to operate and transmit data. This increases the cost of the metering equipment.
Moreover, different smart meters are designed with various parameters, based on the operational requirements and consumer requirements, thus, driving the costs. Furthermore, smart meters are complicated equipment that requires skilled labor. All these factors drive the overall cost of these systems, making them expensive, compared to regular and conventional metering systems.
Scope of the Report
The increasing technological awareness and internet penetration in the developing countries and the growing demand in developed countries for advanced metering infrastructure (AMI) to replace existing AMR systems are expected to result in the growth of the global smart meter market. However, the saturation of the smart electricity meter market segment in major countries, with reducing yearly demand, is expected to pose a major challenge to the market, resulting in a low growth rate.
Smart electricity meters account for the largest share of the market, which is expected to witnesses declining demand throughout the forecast period. This is expected to negatively affect the overall market. It is anticipated to be revived by the large-scale roll-outs. However, smart gas and water meter segments are expected to show consistent growth during the forecast period.
Key Market Trends
Electricity is expected to register a Significant Growth
Brazil has stringent regulation policies, resulting in a consolidated market. Landis+Gyr and Elster are significant players in the country, providing high barriers for new entrants.
In Mexico, there are possibilities of significant investments that are expected to boost the yearly demand volume from the earlier 0.58 million units to 1.54 million units until 2022. The revenues of the smart meter market are not expected to follow a similar growth rate, as the growing competition is increasing the price pressure on the manufacturers.
Chile has a national rollout planned, which is expected to significantly boost the smart electricity meters market in the country. Whereas their incorporation in Ecuador is expected to be fueled by the need to reduce non-technical losses. However, the progress of the market in these countries is slow. The region at large suffers from a lack of funds, and therefore, any prospect of short-term growth of the Latin American market is absent.
Brazil to hold a Major Share
Brazil is a prominent market in Latin America, with leading utility providers like Endesa. The vast consumer base of nearly 5.7 million provides a substantial size of the potential market. The country is planning significant rollouts of smart electricity meters after positive experiences in Italy and Spain. Brazil is expected to witness significant growth in the smart gas meter market. The Brazilian government has announced funding worth around USD 200 million for developments of smart grids and also announced plans to equip smart meters in the whole country by 2021. This factor, coupled with Brazils strong importance on renewable energy generation, is expected to act as a driving factor for the Brazilian smart meter market.
Lack of regulations and funding is a vital issue, which severely restrains the market. However, water scarcity in various parts of the region is acting as a major driver for the utility department to start running trial projects, and if water scarcity continues to deteriorate further, it may accelerate smart meter deployments.
Brazil’s utility holding company AEGEA is expected to aid its subsidiary utility Nascentos do Xingu to deploy event management solutions. This technology is anticipated to be used to better understand water usage patterns for the development of tailored water efficiency initiatives. This also can be used to modernize the country’s distribution system to meet the growing demands of smart water, due to a rapid increase in its customer base.
Competitive Landscape
The South and Central America Smart Meter Market is highly competitive and consists of several major players. In terms of market share, few of the major players currently dominate the market. These major players with prominent share in the market are focusing on expanding their customer base across foreign countries. These companies are leveraging on strategic collaborative initiatives to increase their market share and increase their profitability. The companies operating in the market are also acquiring start-ups working on South and Central America Smart Meter technologies to strengthen their product capabilities.
In Sep 2017, Landis+Gyr, a global smart metering supplier with its smart grid solutions, has secured one of the largest smart metering contracts, yet awarded in India, with Tata Power Delhi Distribution Ltd. Encompassing 200,000 single-phase and three-phase smart meters, the project was a follow up to the contract for India’s first Advanced Metering Infrastructure (AMI) with Radio Frequency (RF) Canopy, comprising 500,000 endpoints, which Tata Power-DDL awarded to Landis+Gyr earlier in the year.
Reasons to Purchase this report:
– The market estimate (ME) sheet in Excel format
– Report customization as per the client’s requirements
– 3 months of analyst support
1 INTRODUCTION
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Need for Improvement in Energy Efficiency
4.3.2 Billing Accuracy and Customer Convenience
4.4 Market Restraints
4.4.1 High Costs and Security Concerns
4.4.2 Integration Difficulties with Smart Meters
4.5 Value Chain / Supply Chain Analysis
4.6 Industry Attractiveness – Porter’s Five Forces Analysis
4.6.1 Threat of New Entrants
4.6.2 Bargaining Power of Buyers/Consumers
4.6.3 Bargaining Power of Suppliers
4.6.4 Threat of Substitute Products
4.6.5 Intensity of Competitive Rivalry
5 MARKET SEGMENTATION
5.1 By Type
5.1.1 Electricity
5.1.2 Gas
5.1.3 Water
5.2 By End User
5.2.1 Commercial
5.2.2 Industrial
5.2.3 Residential
5.3 Geography
5.3.1 South and Central America
5.3.1.1 Brazil
5.3.1.2 Mexico
5.3.1.3 Argentina
5.3.1.4 Chile
5.3.1.5 Spain
5.3.1.6 Rest of South and Central America
6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 General Electric Co.
6.1.2 Landis+Gyr Group AG
6.1.3 Sensus USA Inc. (Xylem Inc.
6.1.4 Echelon Corporation
6.1.5 Diehl Stiftung & Co. KG
6.1.6 Wasion Group Holdings
6.1.7 Elster Group GmbH (Honeywell)
6.1.8 Kamstrup AS
6.1.9 Itron Inc.
6.1.10 Arad Group
6.1.11 Zenner International GmbH & Co. KG
7 MARKET OPPORTUNITIES AND FUTURE TRENDS
7.1 Investment Analysis
MARKET SEGMENTATION
By Type
Electricity
Gas
Water
By End User
Commercial
Industrial
Residential
Geography
South and Central America
Brazil
Mexico
Argentina
Chile
Spain
Rest of South and Central America
Cloud Migration Market – Growth, Trends, and Forecast (2019 – 2024)
| Information & Communications Technology | Published by: Mordor Intelligence | Market: |
| 110 pages | Published: 12-06-2019 |
- Information & Communications Technology
- Mordor Intelligence
- 110 pages
- Published: 12-06-2019
Market Overview
Over the past decade, cloud computing adoption is on rising owing to increasing investments from small and medium enterprises. Globally, many organizations already tapped into the power of the cloud to take advantage of the benefits. According to a study published by CenturyLink, a telecommunications company, globally the cloud computing technology is expected to generate revenue of USD 411 billion by 2020.
The major reasons for migrating to the cloud are scalability, increased effectiveness, faster implementation, mobility, and disaster recovery, among others. Major companies are offering cloud disaster recovery feature to their customers, aiding them to expand their businesses.
Cloud migration is also gaining popularity for its real-time experience, business elements, and accessibility to the on-premise data. This technology also aid to set up and work on the basis of several units in minimal time.
Furthermore, the migration of data is easy to store and access at a low cost, and it enhances its productivity or efficiency. According to Contegix LLC, in 2018, the average enterprise used a staggering 1,427 distinct cloud services, a threefold increase from that in 2013.
Scope of the Report
Cloud migration is the process of moving data, applications or other business elements to a cloud computing environment. There are various types of cloud migrations an enterprise can perform. One common model is the transfer of data and applications from a local, on-premises data center to the public cloud. However, a cloud migration could also entail moving data and applications from one cloud platform or provider to another — a model known as cloud – to cloud migration.
Key Market Trends
Digital Connectivity is Fueling SMEs to Access Cloud-Based Apps and Software
Migrating one service at time to the cloud is a good start for small and medium-sized enterprises (SMEs) in using cloud computing services. cloud-based services help small businesses to reduce costs and give them access to IT services, which were once only available to large enterprises. The use of cloud migration is becoming increasingly important in the business world. Its inception was commenced from small businesses using cloud migration service for their data managing purposes, as SMEs are more complex and have low barriers to adopting changes.
Digital connectivity is fueling better business outcomes and making it easier for SMEs to access cloud-based apps and software, to enhance productivity and growth. Furthermore, cloud-based services not only reduce capital expenditure and software costs but also provide a scalable, agile infrastructure that can support SMEs’ seasonal peaks and troughs. Apart from that, the rising cloud computing among SMEs, especially in emerging economies, is also boosting the segment’s growth over the forecast period. For instance, in 2018, SMEs in Malaysia and other 21 countries in the region got access and support to the cloud solutions and resources for digital transformation, with the opening of Oracle’s first digital hub in Southeast Asia. The percentage of IT budgets allocated to cloud computing are increasing, especially by small to medium businesses. The rise in spending is expected to boost the segment’s growth over the forecast period.
North America Driving the Cloud Migration Market
North America is among the leading innovators and pioneers, in terms of adoption for cloud migration, is the largest market. The region has a strong foothold of cloud migration vendors, which adds to the growth of the market. Some of them include IBM Corporation, Microsoft Corporation, SAS Institute Inc., Amazon Web Services Inc., Cisco Systems Inc., Cognizant Technology Solutions Corporation, and Google Inc. among others.
Recently, in November 2018, IBM corporation launched new services to help organizations accelerate the complex process of modernizing and migrating applications to cloud, and adopt the hybrid, multi-cloud strategy to speed up the business transformation. With new enhancements available in the IBM Cloud Migration Factory, IBM services introduced new automation tools, to reduce the time of modernizing and moving an organization’s data, infrastructure, applications, and workloads.
The advanced industrial landscape in the region has led to widespread incorporation of AI on numerous operational levels, leading to a growing need for cloud migration. Additionally, BYOD is having a substantial impact on the enterprises, as they realize the advantages in terms of cost saving, productivity, and flexibility.
Competitive Landscape
The Cloud Migration Market is highly competitive and consists of several major players. In terms of market share, few of the major players currently dominate the market. These major players with prominent share in the market are focusing on expanding their customer base across foreign countries. These companies are leveraging on strategic collaborative initiatives to increase their market share and increase their profitability. The companies operating in the market are also acquiring start-ups working on Cloud Migration technologies to strengthen their product capabilities. In January 2109, DXC Technology acquired the service business of EG A/S, one of the leading integrators of Microsoft Dynamics 365 in the Nordic region. The acquisition will complete in March 2019. The combination of EG with the existing DXC Eclipse business will extend DXC’s position as a leading global systems integrator for Microsoft Dynamics.
Reasons to Purchase this report:
– The market estimate (ME) sheet in Excel format
– Report customization as per the client’s requirements
– 3 months of analyst support
1 INTRODUCTION
1.1 Scope of the Study
1.2 Study Assumptions
1.3 Study Deliverables
2 RESEARCH METHODOLOGY
2.1 Research Phases
2.2 Analysis Methodology
3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Increasing benefits of cloud to organizations
4.3.2 Increasing use of byod
4.4 Market Restraints
4.4.1 Data security and application interoperability issues
4.5 Industry Attractiveness Porters Five Force Analysis
4.5.1 Threat of New Entrants
4.5.2 Bargaining Power of Buyers/Consumers
4.5.3 Bargaining Power of Suppliers
4.5.4 Threat of Substitute Products
4.5.5 Intensity of Competitive Rivalry
4.6 Industry Policies
5 TECHNOLOGY SNAPSHOT
6 MARKET SEGMENTATION
6.1 By Type of Deployment
6.1.1 Public
6.1.2 Private
6.1.3 Hybrid
6.2 By Enterprise Size
6.2.1 Small and Medium Enterprises (SMEs)
6.2.2 Large Enterprises
6.3 By Type of Service
6.3.1 PaaS
6.3.2 IaaS
6.3.3 SaaS
6.4 By End-user Vertical
6.4.1 BFSI
6.4.2 Healthcare
6.4.3 Retail
6.4.4 Government
6.4.5 IT and Telecommunication
6.4.6 Manufacturing
6.4.7 Other End-user Verticals
6.5 Geography
6.5.1 North America
6.5.2 Europe
6.5.3 Asia Pacific
6.5.4 Latin America
6.5.5 Middle East and Africa
7 COMPETITIVE LANDSCAPE
7.1 Company Profiles
7.1.1 Accenture PLC
7.1.2 Amazon Inc.
7.1.3 Cisco Systems Inc
7.1.4 Cognizant Technology Solutions Corp
7.1.5 DXC Technology
7.1.6 Evolve IP LLC
7.1.7 Google LLC
7.1.8 IBM Corporation
7.1.9 Microsoft Corporation
7.1.10 Oracle Corporation
7.1.11 Rackspace Hosting Inc.
7.1.12 Rightscale Inc.(Flexera)
7.1.13 Tech Mahindra Ltd
7.1.14 VMware Inc.
7.1.15 WSM International LLC
8 INVESTMENT ANALYSIS
9 MARKET OPPORTUNITIES AND FUTURE TRENDS
MARKET SEGMENTATION
By Type of Deployment
Public
Private
Hybrid
By Enterprise Size
Small and Medium Enterprises (SMEs)
Large Enterprises
By Type of Service
PaaS
IaaS
SaaS
By End-user Vertical
BFSI
Healthcare
Retail
Government
IT and Telecommunication
Manufacturing
Other End-user Verticals
Geography
North America
Europe
Asia Pacific
Latin America
Middle East and Africa