Here are relevant reports on : ai-personal-services-market
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Artificial Intelligence (AI) Market by Offering (Infrastructure, Software, Services), Technology (ML, NLP, Generative AI), Business Function (Operations & Supply Chain, Finance & Accounting), Enterprise Application, and End User - Global Forecast to 2032
The market for artificial intelligence is slated to expand from USD 371.71 billion in 2025 to USD 2,407.02 billion by 2032, at a CAGR of 30.6% during the forecast period. The major players in the AI market include Google (US), Microsoft (US), IBM (US), Oracle (US), AWS (US), Intel (US), Salesforce (US), SAP (Germany), AMD (US), Qualcomm (US), Cisco (US), Meta (US), HPE (US), Siemens (Germany), NVIDIA (US), Baidu (China), SAS Institute (US), OpenAI (US), Huawei (China), Alibaba Cloud (China), Centific (US), Fractal Analytics (US), Tiger Analytics (US), Quantiphi (US), Databricks (US), iMerit (US), Telus International (Canada), Innodata (US), Sama (US), C3 AI (US), HQE Systems (US), Appier (Taiwan), Adept (US), H20.AI (US), Spot AI (US), Anthropic (US), Cohere (Canada), Inbenta (US), Character.ai (US), DeepL (Germany), Inflection AI (US), Arrow AI (US), Observe.ai (US), Anyscale (US), AI21 Labs (Israel), Persado (US), Dialpad (US), Graphcore (UK), Shield AI (US), Gamaya (Switzerland), Arthur AI (US), ADA (Canada), Mostly AI (Austria), Metropolis Technologies (US), Cerebras (US), Jasper (US), Soundful (US), Writesonic (US), One AI (Israel), Synthesia (UK), Snorkel (US), Labelbox (US), Appen (US), and Cogito Tech (US).
- Published: April 2025
- Price: $ 4950
- TOC Available:
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AI in Mining Market by Offering (Software, Services), Mining Type (Surface, Underground), Deployment Mode (On-Premises, Cloud, Hybrid), Technology (Generative AI, Machine Learning, NLP), Application, Vertical, and Region - Global Forecast to 2032
The AI in mining market is expected to grow from USD 2.60 billion in 2025 to USD 9.93 billion by 2032, at a compound annual growth rate (CAGR) of 21.1%during the forecast period. The Key Players Caterpillar (US), Komatsu Ltd. (Japan), Sandvik AB (Sweden), Epiroc AB (Sweden), Hitachi Construction Machinery Co., Ltd. (Japan), Hexagon AB (Sweden), Rockwell Automation (US), Siemens (Germany), Trimble Inc. (US), and ABB (Switzerland).
- Published: December 2025
- Price: $ 4950
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Generative AI Cybersecurity Market by Generative AI-based Cybersecurity (SIEM, Risk Assessment, Threat Intelligence), Cybersecurity Software for Generative AI (AI Model Security), Security Type (Data Encryption, Access Control) - Global Forecast to 2031
The generative AI cybersecurity market is undergoing rapid expansion, with estimates projecting a substantial market value surge from USD 8.65 billion in 2025 to USD 35.50 billion by 2031, at a CAGR of 26.5% during the forecast period. Microsoft (US), IBM (US), Google (US), SentinelOne (US), AWS (US), NVIDIA (US), Cisco (US), CrowdStrike (US), Fortinet (US), Zscaler (US), Trend Micro (Japan), Palo Alto Networks (US), BlackBerry (Canada), Darktrace (UK), F5 (US), Okta (US), Sangfor (China), SecurityScorecard (US), Sophos (UK), Broadcom (US), Trellix (US), Veracode (US), LexisNexis (US), Abnormal Security (US), Adversa AI (Israel), Aquasec (US), BigID (US), Checkmarx (US), Cohesity (US), Credo AI (US), NeuralTrust (Spain), Cybereason (US), DeepKeep (Israel), Elastic NV (US), Flashpoint (US), Lakera (US), MOSTLY AI (Austria), Recorded Future (US), Secureframe (US), Skyflow (US), SlashNext (US), Snyk (US), Tenable (US), TrojAI (Canada), VirusTotal (Spain), XenonStack (UAE), and Zerofox (US) are leading plaryes in generative AI cybersecurity market
- Published: August 2025
- Price: $ 4950
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Personal Identity Management Market by Application (Access Control and Content Management), Service (Professional Services and Managed Services), Deployment Type (On-Premises and Cloud), Vertical, and Region - Global Forecast to 2021
The Personal Identity Management market size is estimated to grow from USD 7.37 billion in 2016 to USD 12.76 billion by 2021, at a Compound Annual Growth Rate (CAGR) of 11.61%. The increasing technology trend of Bring Your Own Device (BYOD) and Choose-Your-Own Device (CYOD) within organizations has introduced many security threats associated with identity thefts. As the frequency of sophisticated attacks on critical infrastructure are growing, the PIM market is expected to gain traction in the next five years.
- Published: August 2016
- Price: $ 4950
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AI in Networks Market by Offering (Router & Switches, AI Networking Platform, Management Software, Software Defined Networking), Function (Optimization, Cybersecurity, Predictive Maintenance), Technology (Gen AI, ML, NLP) - Global Forecast to 2029
The global AI in Networks market is expected to grow from USD 10.9 billion in 2024 to USD 46.8 billion by 2029, at a compound annual growth rate (CAGR) of 33.8% during the forecast period.The key players NVIDIA Corporation, Cisco Systems, Inc. (US), Telefonaktiebolaget LM Ericsson (Sweden), Hewlett Packard Enterprise Development LP (US), Arista Networks, Inc. (US).
- Published: August 2024
- Price: $ 4950
- TOC Available:
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Legal AI Software Market by Offering (Legal AI Platforms, Generative AI Agents, Legal Drafting Tools, Report Generation Tools), Application (Ediscovery, Legal Research & Analytics, Contract Drafting & Review, IP Management) - Global Forecast to 2030
The legal AI software market is expected to grow from USD 3.11 billion in 2025 to USD 10.82 billion by the year 2030, at a CAGR of 28.3% during the forecast period. The major players in the legal AI software market include LexisNexis (US), Thomson Reuters (Canada), Sirion (US), Wolters Kluwer (Netherlands), Relativity (US), CS DISCO (US), and Consilio (US), along with SMEs and startups such as Harvey (US), vLex (US), Lawgeex (US), Neota Logic (US), and eBrevia (US).
- Published: February 2025
- Price: $ 4950
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AI in Sports Market by Solutions (Performance Analytics, Player Monitoring, Broadcast Management), Technology (Generative AI and Other AI), and End User (Sports Associations, Sports Teams) - Global Forecast to 2030
The AI in Sports market is projected to reach USD 2.61 billion by 2030 at a compound annual growth rate (CAGR) of 16.7% during the forecast period. The major vendors covered in the AI in Sports market are Cisco (US), IBM (US), Intel (US), Microsoft (US), AWS (US), SAP SE (Germany), Ericsson (Sweden), Oracle (US), Stats Perform (US), Tech Mahindra (India), Sportradar AG (Switzerland), HCL Technologies (India), Extreme Networks (US), Salesforce (US), SAS Institute (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their footprint in the AI in Sports market.
- Published: November 2024
- Price: $ 4950
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AI Code Assistants Market by Offering (Generative AI Code Assistants, Developer Platforms, Coding APIs, Workflow Tools), Model Type (General-Purpose, Code-Specialized, Enterprise-Tuned Generative AI Models) - Global Forecast to 2032
The AI Code Assistants market size is projected to grow from USD 8.14 billion in 2025 to USD 127.05 billion by 2032, at a CAGR of 48.1% during the forecast period. The major players in the AI code assistants market include IBM (US), Oracle (US), Microsoft (US), AWS (US), Google (US), Jetbrains (Netherlands), Replit (US), Synk (US), OpenAI (US), Anthropic (US), Datadog (US), Tabnine (Israel), Sourcegraph (US), Cursor (US), Zencoder (US), Salesforce (US), Supermaven (US), Cline (US), Sourcery AI (UK), Refact.ai (UK), AskCodi (Brazil), Augment Code (US), TabbyML (US), Qodo (Israel), and WindSurf (US).
- Published: March 2026
- Price: $ 4950
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AI in Oil & Gas Market by Type (Hardware, Software, Services), Application (Upstream, Midstream, Downstream), Function (Predictive Maintenance, Production Planning, Field Service, Material Movement, Quality Control), and Region - Global Forecast to 2022
The global AI in Oil & Gas market is expected to grow at a CAGR of 12.66%, from 2017 to 2022, to reach a projected USD 2.85 Billion by 2022. The growth will be mainly driven by the rise in adoption of the big data technology, digitalization of the Oil & Gas industry, investments in AI-related start-ups, and rising pressure to reduce production costs and increase efficiency. To enable an in-depth understanding of the competitive landscape, the report includes the profiles of some of the top players in AI in the Oil & Gas market. They are IBM (US), Accenture (Republic of Ireland), Google (US), Microsoft Corporation (US), and Oracle (US). These players adopted various strategies such as new product launches, contracts & agreements, and investments and expansions, to increase their global presence and market share.
- Published: December 2017
- Price: $ 4950
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AI in Supply Chain Market by Offering (Software, Services), Deployment (Cloud, On-premises, Hybrid), Application (Demand Planning & Forecasting, Warehouse & Transportation Management, Supply Chain Risk Management) - Global Forecast to 2032
The global AI in supply chain market is projected to grow from USD 13.93 billion in 2025 to USD 50.41 billion by 2032 at a CAGR of 20.2%. The key players SAP SE (Germany), Oracle (US), Blue Yonder Group, Inc. (US), Kinaxis Inc. (Canada), and Manhattan Associates (US).
- Published: January 2026
- Price: $ 4950
- TOC Available:
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